Get US federal reserve economic data series that match keywords This wrapper function is to access data from https://alfred.stlouisfed.org
search_fedeconseries(search_text, search_type = 'full_text', realtime_start = NULL, realtime_end = NULL)
| search_text | The words to match economic data series; key words. |
|---|---|
| search_type | Determines the type of search to perform. One of the following strings: 'full_text', 'series_id'. |
| realtime_start | Date of first real time period in "yyyy-mm-dd" format, default: today's date. |
| realtime_end | Date of last real time period in "yyyy-mm-dd" format, default: today's date. |
return dataframe of variables ids.
More arguments could be added into function, for additional arguments, check https://research.stlouisfed.org/docs/api/fred/series_search.html
search_fedeconseries('GDP', search_type = 'full_text',realtime_start = NULL, realtime_end = NULL)#> id realtime_start realtime_end #> 1 GDPC1 2020-12-22 2020-12-22 #> 2 A191RL1Q225SBEA 2020-12-22 2020-12-22 #> 3 GDPCA 2020-12-22 2020-12-22 #> 4 A191RO1Q156NBEA 2020-12-22 2020-12-22 #> 5 A191RL1A225NBEA 2020-12-22 2020-12-22 #> 6 ND000334Q 2020-12-22 2020-12-22 #> 7 OB000334Q 2020-12-22 2020-12-22 #> 8 NB000334Q 2020-12-22 2020-12-22 #> 9 GDP 2020-12-22 2020-12-22 #> 10 GDPA 2020-12-22 2020-12-22 #> 11 A191RP1Q027SBEA 2020-12-22 2020-12-22 #> 12 NA000334Q 2020-12-22 2020-12-22 #> 13 FYGDP 2020-12-22 2020-12-22 #> 14 A191RP1A027NBEA 2020-12-22 2020-12-22 #> 15 NC000334Q 2020-12-22 2020-12-22 #> 16 GFDEGDQ188S 2020-12-22 2020-12-22 #> 17 PCEC 2020-12-22 2020-12-22 #> 18 PCECA 2020-12-22 2020-12-22 #> 19 NA000349Q 2020-12-22 2020-12-22 #> 20 NC000349Q 2020-12-22 2020-12-22 #> 21 GDPDEF 2020-12-22 2020-12-22 #> 22 PCECC96 2020-12-22 2020-12-22 #> 23 A191RI1Q225SBEA 2020-12-22 2020-12-22 #> 24 DPCERL1Q225SBEA 2020-12-22 2020-12-22 #> 25 A939RX0Q048SBEA 2020-12-22 2020-12-22 #> 26 A191RI1A225NBEA 2020-12-22 2020-12-22 #> 27 PCECCA 2020-12-22 2020-12-22 #> 28 DPCERO1Q156NBEA 2020-12-22 2020-12-22 #> 29 DPCERL1A225NBEA 2020-12-22 2020-12-22 #> 30 GDPPOT 2020-12-22 2020-12-22 #> 31 ND000349Q 2020-12-22 2020-12-22 #> 32 NB000349Q 2020-12-22 2020-12-22 #> 33 OB000349Q 2020-12-22 2020-12-22 #> 34 BPCCRO1Q156NBEA 2020-12-22 2020-12-22 #> 35 DPIC96 2020-12-22 2020-12-22 #> 36 DDDM01USA156NWDB 2020-12-22 2020-12-22 #> 37 DPCCRG3A086NBEA 2020-12-22 2020-12-22 #> 38 A067RX1A020NBEA 2020-12-22 2020-12-22 #> 39 A067RL1Q156SBEA 2020-12-22 2020-12-22 #> 40 A067RO1Q156NBEA 2020-12-22 2020-12-22 #> 41 FYFSGDA188S 2020-12-22 2020-12-22 #> 42 CP 2020-12-22 2020-12-22 #> 43 A067RL1A156NBEA 2020-12-22 2020-12-22 #> 44 PCECTPI 2020-12-22 2020-12-22 #> 45 HDTGPDUSQ163N 2020-12-22 2020-12-22 #> 46 GPDIC1 2020-12-22 2020-12-22 #> 47 A229RX0Q048SBEA 2020-12-22 2020-12-22 #> 48 DPCERG3A086NBEA 2020-12-22 2020-12-22 #> 49 A229RX0A048NBEA 2020-12-22 2020-12-22 #> 50 FYFSDFYGDP 2020-12-22 2020-12-22 #> 51 A006RL1Q225SBEA 2020-12-22 2020-12-22 #> 52 GPDICA 2020-12-22 2020-12-22 #> 53 B006RO1Q156NBEA 2020-12-22 2020-12-22 #> 54 A006RL1A225NBEA 2020-12-22 2020-12-22 #> 55 ND000335Q 2020-12-22 2020-12-22 #> 56 NB000335Q 2020-12-22 2020-12-22 #> 57 OB000335Q 2020-12-22 2020-12-22 #> 58 GPDI 2020-12-22 2020-12-22 #> 59 NETEXP 2020-12-22 2020-12-22 #> 60 PINCOME 2020-12-22 2020-12-22 #> 61 MKTGDPCNA646NWDB 2020-12-22 2020-12-22 #> 62 A065RC1A027NBEA 2020-12-22 2020-12-22 #> 63 W068RCQ027SBEA 2020-12-22 2020-12-22 #> 64 A019RC1A027NBEA 2020-12-22 2020-12-22 #> 65 GPDIA 2020-12-22 2020-12-22 #> 66 NA000374Q 2020-12-22 2020-12-22 #> 67 NA000335Q 2020-12-22 2020-12-22 #> 68 W006RC1Q027SBEA 2020-12-22 2020-12-22 #> 69 FYFRGDA188S 2020-12-22 2020-12-22 #> 70 JPNRGDPEXP 2020-12-22 2020-12-22 #> 71 GNP 2020-12-22 2020-12-22 #> 72 CLVMNACSCAB1GQUK 2020-12-22 2020-12-22 #> 73 NC000335Q 2020-12-22 2020-12-22 #> 74 B230RC0Q173SBEA 2020-12-22 2020-12-22 #> 75 B230RC0A052NBEA 2020-12-22 2020-12-22 #> 76 CPGDPAI 2020-12-22 2020-12-22 #> 77 FYOIGDA188S 2020-12-22 2020-12-22 #> 78 W068RC1A027NBEA 2020-12-22 2020-12-22 #> 79 GNPA 2020-12-22 2020-12-22 #> 80 IMPGSC1 2020-12-22 2020-12-22 #> 81 CLVMNACNSAB1GQUK 2020-12-22 2020-12-22 #> 82 A001RP1A027NBEA 2020-12-22 2020-12-22 #> 83 A001RP1Q027SBEA 2020-12-22 2020-12-22 #> 84 W006RC1A027NBEA 2020-12-22 2020-12-22 #> 85 CLVMNACSAB1GQUK 2020-12-22 2020-12-22 #> 86 NA000327Q 2020-12-22 2020-12-22 #> 87 JHDUSRGDPBR 2020-12-22 2020-12-22 #> 88 CLVMNACSCAB1GQDE 2020-12-22 2020-12-22 #> 89 GDPNOW 2020-12-22 2020-12-22 #> 90 PCDG 2020-12-22 2020-12-22 #> 91 JPNNGDP 2020-12-22 2020-12-22 #> 92 DPI 2020-12-22 2020-12-22 #> 93 NAEXKP01CAQ189S 2020-12-22 2020-12-22 #> 94 IMPGSCA 2020-12-22 2020-12-22 #> 95 STLENI 2020-12-22 2020-12-22 #> 96 USALORSGPNOSTSAM 2020-12-22 2020-12-22 #> 97 A067RC1A027NBEA 2020-12-22 2020-12-22 #> 98 EXPGS 2020-12-22 2020-12-22 #> 99 PCDGA 2020-12-22 2020-12-22 #> 100 MKTGDPJPA646NWDB 2020-12-22 2020-12-22 #> 101 A021RL1Q158SBEA 2020-12-22 2020-12-22 #> 102 ND000342Q 2020-12-22 2020-12-22 #> 103 A067RP1Q027SBEA 2020-12-22 2020-12-22 #> 104 NAEXKP01CAQ657S 2020-12-22 2020-12-22 #> 105 NA000346Q 2020-12-22 2020-12-22 #> 106 NB000342Q 2020-12-22 2020-12-22 #> 107 NC000346Q 2020-12-22 2020-12-22 #> 108 A021RO1Q156NBEA 2020-12-22 2020-12-22 #> 109 A067RP1A027NBEA 2020-12-22 2020-12-22 #> 110 A021RL1A158NBEA 2020-12-22 2020-12-22 #> 111 FGEXPND 2020-12-22 2020-12-22 #> 112 GDPC1CTM 2020-12-22 2020-12-22 #> 113 GFDGDPA188S 2020-12-22 2020-12-22 #> 114 CHNGDPNQDSMEI 2020-12-22 2020-12-22 #> 115 OB000342Q 2020-12-22 2020-12-22 #> 116 NAEXKP01CAQ661S 2020-12-22 2020-12-22 #> 117 CLVMNACNSAB1GQDE 2020-12-22 2020-12-22 #> 118 NAEXKP01CAA657S 2020-12-22 2020-12-22 #> 119 NAEXKP01CAA189S 2020-12-22 2020-12-22 #> 120 NAEXKP01CAA661S 2020-12-22 2020-12-22 #> 121 DPCERE1Q156NBEA 2020-12-22 2020-12-22 #> 122 GCEC1 2020-12-22 2020-12-22 #> 123 EXPGSA 2020-12-22 2020-12-22 #> 124 NA000352Q 2020-12-22 2020-12-22 #> 125 NC000352Q 2020-12-22 2020-12-22 #> 126 A053RC1Q027SBEA 2020-12-22 2020-12-22 #> 127 PCND 2020-12-22 2020-12-22 #> 128 QUSPAM770A 2020-12-22 2020-12-22 #> 129 PSAVE 2020-12-22 2020-12-22 #> 130 CHNGDPNADSMEI 2020-12-22 2020-12-22 #> 131 NA000283Q 2020-12-22 2020-12-22 #> 132 A071RC1A027NBEA 2020-12-22 2020-12-22 #> 133 PAYEMS 2020-12-22 2020-12-22 #> 134 W790RC1Q027SBEA 2020-12-22 2020-12-22 #> 135 FYONGDA188S 2020-12-22 2020-12-22 #> 136 CARGSP 2020-12-22 2020-12-22 #> 137 RGDPNACNA666NRUG 2020-12-22 2020-12-22 #> 138 CLVMNACSCAB1GQIT 2020-12-22 2020-12-22 #> 139 EXPGSC1 2020-12-22 2020-12-22 #> 140 GCECA 2020-12-22 2020-12-22 #> 141 PCNDA 2020-12-22 2020-12-22 #> 142 A792RC0A052NBEA 2020-12-22 2020-12-22 #> 143 A822RL1Q225SBEA 2020-12-22 2020-12-22 #> 144 PCESV 2020-12-22 2020-12-22 #> 145 DPCERE1A156NBEA 2020-12-22 2020-12-22 #> 146 A939RC0Q052SBEA 2020-12-22 2020-12-22 #> 147 A939RC0A052NBEA 2020-12-22 2020-12-22 #> 148 NA000348Q 2020-12-22 2020-12-22 #> 149 A792RC0Q052SBEA 2020-12-22 2020-12-22 #> 150 A822RO1Q156NBEA 2020-12-22 2020-12-22 #> 151 NC000348Q 2020-12-22 2020-12-22 #> 152 ND000333Q 2020-12-22 2020-12-22 #> 153 A822RL1A225NBEA 2020-12-22 2020-12-22 #> 154 OB000333Q 2020-12-22 2020-12-22 #> 155 NB000333Q 2020-12-22 2020-12-22 #> 156 LABSHPUSA156NRUG 2020-12-22 2020-12-22 #> 157 EXPGSCA 2020-12-22 2020-12-22 #> 158 PAYNSA 2020-12-22 2020-12-22 #> 159 EUNNGDP 2020-12-22 2020-12-22 #> 160 PNFI 2020-12-22 2020-12-22 #> 161 W790RC1A027NBEA 2020-12-22 2020-12-22 #> 162 CLVMNACNSAB1GQIT 2020-12-22 2020-12-22 #> 163 IMPGS 2020-12-22 2020-12-22 #> 164 PCESVA 2020-12-22 2020-12-22 #> 165 A020RL1Q158SBEA 2020-12-22 2020-12-22 #> 166 A020RO1Q156NBEA 2020-12-22 2020-12-22 #> 167 ND000352Q 2020-12-22 2020-12-22 #> 168 NA000350Q 2020-12-22 2020-12-22 #> 169 NC000350Q 2020-12-22 2020-12-22 #> 170 NB000352Q 2020-12-22 2020-12-22 #> 171 A020RL1A158NBEA 2020-12-22 2020-12-22 #> 172 OB000352Q 2020-12-22 2020-12-22 #> 173 GPSAVE 2020-12-22 2020-12-22 #> 174 CLVMNACSCAB1GQFR 2020-12-22 2020-12-22 #> 175 M318501Q027NBEA 2020-12-22 2020-12-22 #> 176 NAEXKP01INQ652S 2020-12-22 2020-12-22 #> 177 FYGFGDQ188S 2020-12-22 2020-12-22 #> 178 CPATAX 2020-12-22 2020-12-22 #> 179 TXNGSP 2020-12-22 2020-12-22 #> 180 GEPUCURRENT 2020-12-22 2020-12-22 #> 181 BOEBSTAUKA 2020-12-22 2020-12-22 #> 182 PAKDGDPGDPPT 2020-12-22 2020-12-22 #> 183 NAEXKP01INQ657S 2020-12-22 2020-12-22 #> 184 IMPGSA 2020-12-22 2020-12-22 #> 185 CPMEURNSAB1GQEA19 2020-12-22 2020-12-22 #> 186 PNFIA 2020-12-22 2020-12-22 #> 187 NA000336Q 2020-12-22 2020-12-22 #> 188 M318501A027NBEA 2020-12-22 2020-12-22 #> 189 NA000342Q 2020-12-22 2020-12-22 #> 190 NC000342Q 2020-12-22 2020-12-22 #> 191 NC000336Q 2020-12-22 2020-12-22 #> 192 DEBTTLJPA188A 2020-12-22 2020-12-22 #> 193 NYNGSP 2020-12-22 2020-12-22 #> 194 CLVMNACNSAB1GQFR 2020-12-22 2020-12-22 #> 195 B087RC1Q027SBEA 2020-12-22 2020-12-22 #> 196 A126RC1A027NBEA 2020-12-22 2020-12-22 #> 197 NAEXKP01INQ661S 2020-12-22 2020-12-22 #> 198 USAGDPDEFQISMEI 2020-12-22 2020-12-22 #> 199 NAEXKP01INA657S 2020-12-22 2020-12-22 #> 200 NAEXKP01INA652S 2020-12-22 2020-12-22 #> 201 NAEXKP01INA661S 2020-12-22 2020-12-22 #> 202 USAGDPDEFAISMEI 2020-12-22 2020-12-22 #> 203 PRFI 2020-12-22 2020-12-22 #> 204 UKNGDP 2020-12-22 2020-12-22 #> 205 PCDGCC96 2020-12-22 2020-12-22 #> 206 NAEXKP01AUQ657S 2020-12-22 2020-12-22 #> 207 B087RC1A027NBEA 2020-12-22 2020-12-22 #> 208 ND000346Q 2020-12-22 2020-12-22 #> 209 A072RC1Q156SBEA 2020-12-22 2020-12-22 #> 210 A794RX0Q048SBEA 2020-12-22 2020-12-22 #> 211 A091RC1Q027SBEA 2020-12-22 2020-12-22 #> 212 NGDPPOT 2020-12-22 2020-12-22 #> 213 A006RE1Q156NBEA 2020-12-22 2020-12-22 #> 214 OB000346Q 2020-12-22 2020-12-22 #> 215 NA000300Q 2020-12-22 2020-12-22 #> 216 PCDGCCA 2020-12-22 2020-12-22 #> 217 NB000346Q 2020-12-22 2020-12-22 #> 218 MKTGDPGBA646NWDB 2020-12-22 2020-12-22 #> 219 NAEXKP01AUQ661S 2020-12-22 2020-12-22 #> 220 CPMNACNSAB1GQUK 2020-12-22 2020-12-22 #> 221 NYGDPPCAPKDCHN 2020-12-22 2020-12-22 #> 222 PRFIA 2020-12-22 2020-12-22 #> 223 PNFIC1 2020-12-22 2020-12-22 #> 224 NAEXKP01AUA657S 2020-12-22 2020-12-22 #> 225 CPMNACSCAB1GQUK 2020-12-22 2020-12-22 #> 226 NAEXKP01AUA189S 2020-12-22 2020-12-22 #> 227 NAEXKP01AUA661S 2020-12-22 2020-12-22 #> 228 NAEXKP01AUA659S 2020-12-22 2020-12-22 #> 229 A072RC1A156NBEA 2020-12-22 2020-12-22 #> 230 JHGDPBRINDX 2020-12-22 2020-12-22 #> 231 FLNGSP 2020-12-22 2020-12-22 #> 232 B075RC1Q027SBEA 2020-12-22 2020-12-22 #> 233 RGDPNACAA666NRUG 2020-12-22 2020-12-22 #> 234 DDDI06USA156NWDB 2020-12-22 2020-12-22 #> 235 CLVMNACSCAB1GQES 2020-12-22 2020-12-22 #> 236 A006RE1A156NBEA 2020-12-22 2020-12-22 #> 237 MKTGDPCAA646NWDB 2020-12-22 2020-12-22 #> 238 NAEXKP01KRQ189S 2020-12-22 2020-12-22 #> 239 CPMNACSCAB1GQDE 2020-12-22 2020-12-22 #> 240 NA000308Q 2020-12-22 2020-12-22 #> 241 OB000336Q 2020-12-22 2020-12-22 #> 242 PNFICA 2020-12-22 2020-12-22 #> 243 B4701C0A222NBEA 2020-12-22 2020-12-22 #> 244 NETFI 2020-12-22 2020-12-22 #> 245 VAPGDPMA 2020-12-22 2020-12-22 #> 246 CLVMNACSCAB1GQSE 2020-12-22 2020-12-22 #> 247 CLVMNACSCAB1GQEL 2020-12-22 2020-12-22 #> 248 DPCERD3Q086SBEA 2020-12-22 2020-12-22 #> 249 ND000336Q 2020-12-22 2020-12-22 #> 250 NB000336Q 2020-12-22 2020-12-22 #> 251 MKTGDPDEA646NWDB 2020-12-22 2020-12-22 #> 252 NAEXKP01KRQ657S 2020-12-22 2020-12-22 #> 253 CANNGDPRPCH 2020-12-22 2020-12-22 #> 254 CPMNACNSAB1GQDE 2020-12-22 2020-12-22 #> 255 CLVMEURSCAB1GQEA19 2020-12-22 2020-12-22 #> 256 DDDM011WA156NWDB 2020-12-22 2020-12-22 #> 257 PIECTR 2020-12-22 2020-12-22 #> 258 CLVMNACNSAB1GQES 2020-12-22 2020-12-22 #> 259 GCE 2020-12-22 2020-12-22 #> 260 W207RC1Q156SBEA 2020-12-22 2020-12-22 #> 261 AUSGDPNQDSMEI 2020-12-22 2020-12-22 #> 262 NAEXKP01KRQ661S 2020-12-22 2020-12-22 #> 263 NAEXKP01KRA657S 2020-12-22 2020-12-22 #> 264 NA000322Q 2020-12-22 2020-12-22 #> 265 NAEXKP01KRA189S 2020-12-22 2020-12-22 #> 266 NAEXKP01KRA661S 2020-12-22 2020-12-22 #> 267 W875RX1A020NBEA 2020-12-22 2020-12-22 #> 268 A019RE1A156NBEA 2020-12-22 2020-12-22 #> 269 DPCERD3A086NBEA 2020-12-22 2020-12-22 #> 270 A019RE1Q156NBEA 2020-12-22 2020-12-22 #> 271 RGDPNAINA666NRUG 2020-12-22 2020-12-22 #> 272 BA06RC1A027NBEA 2020-12-22 2020-12-22 #> 273 CLVMNACNSAB1GQSE 2020-12-22 2020-12-22 #> 274 CLVMNACNSAB1GQEL 2020-12-22 2020-12-22 #> 275 GDPC96 2020-12-22 2020-12-22 #> 276 NETEXC 2020-12-22 2020-12-22 #> 277 NAEXKP01BRQ652S 2020-12-22 2020-12-22 #> 278 NAEXKP01MXQ189S 2020-12-22 2020-12-22 #> 279 AUSGDPNADSMEI 2020-12-22 2020-12-22 #> 280 GCEA 2020-12-22 2020-12-22 #> 281 W207RC1A156NBEA 2020-12-22 2020-12-22 #> 282 FDEFX 2020-12-22 2020-12-22 #> 283 CPROFIT 2020-12-22 2020-12-22 #> 284 DDDM03USA156NWDB 2020-12-22 2020-12-22 #> 285 CHNLORSGPNOSTSAM 2020-12-22 2020-12-22 #> 286 CLVMEURNSAB1GQEA19 2020-12-22 2020-12-22 #> 287 NA000333Q 2020-12-22 2020-12-22 #> 288 GSAVE 2020-12-22 2020-12-22 #> 289 NAEXKP01MXQ657S 2020-12-22 2020-12-22 #> 290 NC000333Q 2020-12-22 2020-12-22 #> 291 NAEXKP01BRQ657S 2020-12-22 2020-12-22 #> 292 A019RX1A020NBEA 2020-12-22 2020-12-22 #> 293 GDPMCA1 2020-12-22 2020-12-22 #> 294 GDPMC1 2020-12-22 2020-12-22 #> 295 NAEXKP01MXA657S 2020-12-22 2020-12-22 #> 296 NAEXKP01MXQ661S 2020-12-22 2020-12-22 #> 297 NAEXKP01BRQ661S 2020-12-22 2020-12-22 #> 298 NAEXKP01BRA652S 2020-12-22 2020-12-22 #> 299 NAEXKP01MXA189S 2020-12-22 2020-12-22 #> 300 NAEXKP01BRA657S 2020-12-22 2020-12-22 #> 301 CPMNACSCAB1GQEU28 2020-12-22 2020-12-22 #> 302 FGRECPT 2020-12-22 2020-12-22 #> 303 NAEXKP01MXA661S 2020-12-22 2020-12-22 #> 304 NAEXKP01BRA661S 2020-12-22 2020-12-22 #> 305 ND000374Q 2020-12-22 2020-12-22 #> 306 NAEXKP01TRQ652S 2020-12-22 2020-12-22 #> 307 CPMNACSCAB1GQIT 2020-12-22 2020-12-22 #> 308 A929RC1A027NBEA 2020-12-22 2020-12-22 #> 309 NGMP42660 2020-12-22 2020-12-22 #> 310 GGGDTACNA188N 2020-12-22 2020-12-22 #> 311 GDI 2020-12-22 2020-12-22 #> 312 CLVMNACSAB1GQCH 2020-12-22 2020-12-22 #> 313 NAEXKP01USQ657S 2020-12-22 2020-12-22 #> 314 CPMNACNSAB1GQIT 2020-12-22 2020-12-22 #> 315 MKTGDPITA646NWDB 2020-12-22 2020-12-22 #> 316 NAEXKP01TRQ657S 2020-12-22 2020-12-22 #> 317 NAEXKP01TRQ661S 2020-12-22 2020-12-22 #> 318 CPMNACNSAB1GQEU28 2020-12-22 2020-12-22 #> 319 NA000304Q 2020-12-22 2020-12-22 #> 320 NGMP41860 2020-12-22 2020-12-22 #> 321 NAEXKP01TRA652S 2020-12-22 2020-12-22 #> 322 HDTGPDCAQ163N 2020-12-22 2020-12-22 #> 323 FCTAX 2020-12-22 2020-12-22 #> 324 NYGDPPCAPKDJPN 2020-12-22 2020-12-22 #> 325 NAEXKP01TRA657S 2020-12-22 2020-12-22 #> 326 NAEXKP01TRA661S 2020-12-22 2020-12-22 #> 327 GGSAVE 2020-12-22 2020-12-22 #> 328 NAEXKP01USQ652S 2020-12-22 2020-12-22 #> 329 NAEXKP01RUQ652S 2020-12-22 2020-12-22 #> 330 QUSNAM770A 2020-12-22 2020-12-22 #> 331 GNPC96 2020-12-22 2020-12-22 #> 332 CLVMNACNSAB1GQCH 2020-12-22 2020-12-22 #> 333 NAEXKP01USA657S 2020-12-22 2020-12-22 #> 334 CLVMNACSCAB1GQCH 2020-12-22 2020-12-22 #> 335 NAEXKP01USQ661S 2020-12-22 2020-12-22 #> 336 A001RO1Q156NBEA 2020-12-22 2020-12-22 #> 337 MKTGDPINA646NWDB 2020-12-22 2020-12-22 #> 338 NAEXKP01USA652S 2020-12-22 2020-12-22 #> 339 NAEXKP01USA661S 2020-12-22 2020-12-22 #> 340 AUSGDPRQDSMEI 2020-12-22 2020-12-22 #> 341 CPMNACSCAB1GQFR 2020-12-22 2020-12-22 #> 342 GNPCA 2020-12-22 2020-12-22 #> 343 NAEXKP01RUQ657S 2020-12-22 2020-12-22 #> 344 GNPDEF 2020-12-22 2020-12-22 #> 345 NAEXKP01RUQ659S 2020-12-22 2020-12-22 #> 346 NAEXKP01RUQ661S 2020-12-22 2020-12-22 #> 347 A001RL1Q225SBEA 2020-12-22 2020-12-22 #> 348 A927RC1A027NBEA 2020-12-22 2020-12-22 #> 349 A001RL1A225NBEA 2020-12-22 2020-12-22 #> 350 NAEXKP01RUA652S 2020-12-22 2020-12-22 #> 351 NAEXKP01RUA661S 2020-12-22 2020-12-22 #> 352 NAEXKP01RUA657S 2020-12-22 2020-12-22 #> 353 NAEXKP01RUA659S 2020-12-22 2020-12-22 #> 354 CANGSP 2020-12-22 2020-12-22 #> 355 DPCCRV1Q225SBEA 2020-12-22 2020-12-22 #> 356 PRFIC1 2020-12-22 2020-12-22 #> 357 MKTGDPFRA646NWDB 2020-12-22 2020-12-22 #> 358 A001RI1Q225SBEA 2020-12-22 2020-12-22 #> 359 A001RI1A225NBEA 2020-12-22 2020-12-22 #> 360 QCNPAM770A 2020-12-22 2020-12-22 #> 361 CPMNACNSAB1GQFR 2020-12-22 2020-12-22 #> 362 AUSGDPRQPSMEI 2020-12-22 2020-12-22 #> 363 PCESVC96 2020-12-22 2020-12-22 #> 364 NGMP16980 2020-12-22 2020-12-22 #> 365 OHNGSP 2020-12-22 2020-12-22 #> 366 MKTGDPKRA646NWDB 2020-12-22 2020-12-22 #> 367 CANQGSP 2020-12-22 2020-12-22 #> 368 DDDM01CNA156NWDB 2020-12-22 2020-12-22 #> 369 PPPTTLUSA618NUPN 2020-12-22 2020-12-22 #> 370 EA19LORSGPORGYSAM 2020-12-22 2020-12-22 #> 371 A446RC1Q027SBEA 2020-12-22 2020-12-22 #> 372 PCNDGC96 2020-12-22 2020-12-22 #> 373 DPCCRV1A225NBEA 2020-12-22 2020-12-22 #> 374 A822RE1Q156NBEA 2020-12-22 2020-12-22 #> 375 ND000348Q 2020-12-22 2020-12-22 #> 376 DSERRL1Q225SBEA 2020-12-22 2020-12-22 #> 377 CLVMNACNSAB1GQIE 2020-12-22 2020-12-22 #> 378 CLVMNACSAB1GQIE 2020-12-22 2020-12-22 #> 379 OB000348Q 2020-12-22 2020-12-22 #> 380 PRFICA 2020-12-22 2020-12-22 #> 381 ND000338Q 2020-12-22 2020-12-22 #> 382 ND000350Q 2020-12-22 2020-12-22 #> 383 DSERRO1Q156NBEA 2020-12-22 2020-12-22 #> 384 PCNDGCA 2020-12-22 2020-12-22 #> 385 PCESVCA 2020-12-22 2020-12-22 #> 386 DSERRL1A225NBEA 2020-12-22 2020-12-22 #> 387 NB000348Q 2020-12-22 2020-12-22 #> 388 OB000350Q 2020-12-22 2020-12-22 #> 389 NB000350Q 2020-12-22 2020-12-22 #> 390 FPI 2020-12-22 2020-12-22 #> 391 PANGSP 2020-12-22 2020-12-22 #> 392 WANGSP 2020-12-22 2020-12-22 #> 393 NGMP29820 2020-12-22 2020-12-22 #> 394 NYGDPPCAPKDUSA 2020-12-22 2020-12-22 #> 395 INDGDPNQDSMEI 2020-12-22 2020-12-22 #> 396 W987RC1Q027SBEA 2020-12-22 2020-12-22 #> 397 A822RE1A156NBEA 2020-12-22 2020-12-22 #> 398 A794RC0Q052SBEA 2020-12-22 2020-12-22 #> 399 BPBLTT01USQ188S 2020-12-22 2020-12-22 #> 400 EA19LORSGPORIXOBSAM 2020-12-22 2020-12-22 #> 401 NAEXKP01IDQ652S 2020-12-22 2020-12-22 #> 402 A446RC1A027NBEA 2020-12-22 2020-12-22 #> 403 RGDPMRPUKM 2020-12-22 2020-12-22 #> 404 NAEXKP01JPQ657S 2020-12-22 2020-12-22 #> 405 NAEXKP01JPQ189S 2020-12-22 2020-12-22 #> 406 RGDPMPUKA 2020-12-22 2020-12-22 #> 407 NGMP31080 2020-12-22 2020-12-22 #> 408 RGDPNAMXA666NRUG 2020-12-22 2020-12-22 #> 409 DDDM02USA156NWDB 2020-12-22 2020-12-22 #> 410 NYGDPPCAPKDITA 2020-12-22 2020-12-22 #> 411 NGMP33100 2020-12-22 2020-12-22 #> 412 ALNGSP 2020-12-22 2020-12-22 #> 413 MINGSP 2020-12-22 2020-12-22 #> 414 KORRGDPR 2020-12-22 2020-12-22 #> 415 GDPCTPI 2020-12-22 2020-12-22 #> 416 NAEXKP01IDQ657S 2020-12-22 2020-12-22 #> 417 DHLCRC1Q027SBEA 2020-12-22 2020-12-22 #> 418 A794RC0A052NBEA 2020-12-22 2020-12-22 #> 419 RGDPMRPUKQ 2020-12-22 2020-12-22 #> 420 NAEXKP01IDQ661S 2020-12-22 2020-12-22 #> 421 RGDPMPUKQ 2020-12-22 2020-12-22 #> 422 INDGDPNADSMEI 2020-12-22 2020-12-22 #> 423 NAEXKP01JPA657S 2020-12-22 2020-12-22 #> 424 W987RC1A027NBEA 2020-12-22 2020-12-22 #> 425 BPBLTT01USA188S 2020-12-22 2020-12-22 #> 426 NAEXKP01IDA657S 2020-12-22 2020-12-22 #> 427 NAEXKP01IDA652S 2020-12-22 2020-12-22 #> 428 NAEXKP01JPQ661S 2020-12-22 2020-12-22 #> 429 NAEXKP01IDA661S 2020-12-22 2020-12-22 #> 430 NAEXKP01JPA189S 2020-12-22 2020-12-22 #> 431 NAEXKP01JPA661S 2020-12-22 2020-12-22 #> 432 HINGSP 2020-12-22 2020-12-22 #> 433 RGDPNAJPA666NRUG 2020-12-22 2020-12-22 #> 434 W019RCQ027SBEA 2020-12-22 2020-12-22 #> 435 CLVMNACSCAB1GQNO 2020-12-22 2020-12-22 #> 436 DPCCRC1Q027SBEA 2020-12-22 2020-12-22 #> 437 CLVMNACSCAB1GQNL 2020-12-22 2020-12-22 #> 438 W825RC1A027NBEA 2020-12-22 2020-12-22 #> 439 DPCCRC1A027NBEA 2020-12-22 2020-12-22 #> 440 DHLCRC1A027NBEA 2020-12-22 2020-12-22 #> 441 W825RC1Q027SBEA 2020-12-22 2020-12-22 #> 442 CLVMNACNSAB1GQNL 2020-12-22 2020-12-22 #> 443 NGMP19100 2020-12-22 2020-12-22 #> 444 ILNGSP 2020-12-22 2020-12-22 #> 445 DDDM01INA156NWDB 2020-12-22 2020-12-22 #> 446 B056RC1A027NBEA 2020-12-22 2020-12-22 #> 447 VAPGDPR 2020-12-22 2020-12-22 #> 448 AZNGSP 2020-12-22 2020-12-22 #> 449 GGGDTAJPA188N 2020-12-22 2020-12-22 #> 450 W070RC1Q027SBEA 2020-12-22 2020-12-22 #> 451 Y694RC1Q027SBEA 2020-12-22 2020-12-22 #> 452 Y033RX1Q020SBEA 2020-12-22 2020-12-22 #> 453 CHNBCAGDPBP6PT 2020-12-22 2020-12-22 #> 454 W019RC1A027NBEA 2020-12-22 2020-12-22 #> 455 CLVMNACNSAB1GQNO 2020-12-22 2020-12-22 #> 456 NAEXKP01DEQ189S 2020-12-22 2020-12-22 #> 457 NAEXKP01DEQ657S 2020-12-22 2020-12-22 #> 458 NYGDPPCAPKDIND 2020-12-22 2020-12-22 #> 459 JCXFE 2020-12-22 2020-12-22 #> 460 VAPGDPFI 2020-12-22 2020-12-22 #> 461 HBFIGDQ188S 2020-12-22 2020-12-22 #> 462 CONGSP 2020-12-22 2020-12-22 #> 463 DCNGSP 2020-12-22 2020-12-22 #> 464 RGDPNABRA666NRUG 2020-12-22 2020-12-22 #> 465 AKNGSP 2020-12-22 2020-12-22 #> 466 NGMP12060 2020-12-22 2020-12-22 #> 467 NAEXKP01DEQ661S 2020-12-22 2020-12-22 #> 468 MKTGDPBRA646NWDB 2020-12-22 2020-12-22 #> 469 RUSGDPNQDSMEI 2020-12-22 2020-12-22 #> 470 Y033RO1Q156NBEA 2020-12-22 2020-12-22 #> 471 Y694RC1A027NBEA 2020-12-22 2020-12-22 #> 472 NAEXKP01DEA657S 2020-12-22 2020-12-22 #> 473 W070RC1A027NBEA 2020-12-22 2020-12-22 #> 474 Y033RL1Q225SBEA 2020-12-22 2020-12-22 #> 475 NAEXKP01DEA661S 2020-12-22 2020-12-22 #> 476 NA000328Q 2020-12-22 2020-12-22 #> 477 NAEXKP01DEA189S 2020-12-22 2020-12-22 #> 478 Y033RX1A020NBEA 2020-12-22 2020-12-22 #> 479 Y033RL1A225NBEA 2020-12-22 2020-12-22 #> 480 ND000340Q 2020-12-22 2020-12-22 #> 481 OB000340Q 2020-12-22 2020-12-22 #> 482 NB000340Q 2020-12-22 2020-12-22 #> 483 TRP6001A027NBEA 2020-12-22 2020-12-22 #> 484 A191RD3A086NBEA 2020-12-22 2020-12-22 #> 485 NYGDPPCAPKDGBR 2020-12-22 2020-12-22 #> 486 RGDPNAMYA666NRUG 2020-12-22 2020-12-22 #> 487 NYGDPPCAPKDDEU 2020-12-22 2020-12-22 #> 488 RGDPNATWA666NRUG 2020-12-22 2020-12-22 #> 489 MKTGDPMYA646NWDB 2020-12-22 2020-12-22 #> 490 TNNGSP 2020-12-22 2020-12-22 #> 491 GGGDTADEA188N 2020-12-22 2020-12-22 #> 492 SLEXPND 2020-12-22 2020-12-22 #> 493 DFDHRC1Q027SBEA 2020-12-22 2020-12-22 #> 494 GGGDTAARA188N 2020-12-22 2020-12-22 #> 495 BRAGDPNQDSMEI 2020-12-22 2020-12-22 #> 496 BRANGDPRPCH 2020-12-22 2020-12-22 #> 497 RUSGDPNADSMEI 2020-12-22 2020-12-22 #> 498 NAEXKP01GBQ652S 2020-12-22 2020-12-22 #> 499 XTEXVA01KRQ188S 2020-12-22 2020-12-22 #> 500 NAEXKP01GBQ657S 2020-12-22 2020-12-22 #> 501 XTEXVA01KRA188S 2020-12-22 2020-12-22 #> 502 G160291A027NBEA 2020-12-22 2020-12-22 #> 503 NGMP35620 2020-12-22 2020-12-22 #> 504 HDTGPDKRQ163N 2020-12-22 2020-12-22 #> 505 NYGDPPCAPKDCAN 2020-12-22 2020-12-22 #> 506 NGMP26420 2020-12-22 2020-12-22 #> 507 A084RC1Q027SBEA 2020-12-22 2020-12-22 #> 508 MKTGDP1WA646NWDB 2020-12-22 2020-12-22 #> 509 DEBTTLCNA188A 2020-12-22 2020-12-22 #> 510 DDDM01JPA156NWDB 2020-12-22 2020-12-22 #> 511 GDPC1MD 2020-12-22 2020-12-22 #> 512 MKTGDPVNA646NWDB 2020-12-22 2020-12-22 #> 513 B140RC1Q027SBEA 2020-12-22 2020-12-22 #> 514 CPMNACSCAB1GQSE 2020-12-22 2020-12-22 #> 515 A229RC0Q052SBEA 2020-12-22 2020-12-22 #> 516 BRAGDPNADSMEI 2020-12-22 2020-12-22 #> 517 NAEXKP01GBQ661S 2020-12-22 2020-12-22 #> 518 NA000284Q 2020-12-22 2020-12-22 #> 519 DFDHRC1A027NBEA 2020-12-22 2020-12-22 #> 520 ARGGGXWDGGDP 2020-12-22 2020-12-22 #> 521 NAEXKP01GBA652S 2020-12-22 2020-12-22 #> 522 NAEXKP01GBA657S 2020-12-22 2020-12-22 #> 523 ASLEXPND 2020-12-22 2020-12-22 #> 524 NAEXKP01GBA661S 2020-12-22 2020-12-22 #> 525 WINGSP 2020-12-22 2020-12-22 #> 526 DEBTTLUSA188A 2020-12-22 2020-12-22 #> 527 A464RC1Q027SBEA 2020-12-22 2020-12-22 #> 528 MNNGSP 2020-12-22 2020-12-22 #> 529 W398RC1A027NBEA 2020-12-22 2020-12-22 #> 530 MSNGSP 2020-12-22 2020-12-22 #> 531 CNCF 2020-12-22 2020-12-22 #> 532 FYPUGDA188S 2020-12-22 2020-12-22 #> 533 RGDPNARUA666NRUG 2020-12-22 2020-12-22 #> 534 NCNGSP 2020-12-22 2020-12-22 #> 535 B140RC1A027NBEA 2020-12-22 2020-12-22 #> 536 CLVMNACSCAB1GQFI 2020-12-22 2020-12-22 #> 537 DPCERY2Q224SBEA 2020-12-22 2020-12-22 #> 538 CLVMNACSCAB1GQEA19 2020-12-22 2020-12-22 #> 539 TURGDPNQDSMEI 2020-12-22 2020-12-22 #> 540 MKTGDPSEA646NWDB 2020-12-22 2020-12-22 #> 541 A229RC0A052NBEA 2020-12-22 2020-12-22 #> 542 CANGDPNQDSMEI 2020-12-22 2020-12-22 #> 543 HDTGPDKRA163N 2020-12-22 2020-12-22 #> 544 CPMNACNSAB1GQSE 2020-12-22 2020-12-22 #> 545 QUSHAM770A 2020-12-22 2020-12-22 #> 546 A084RC1A027NBEA 2020-12-22 2020-12-22 #> 547 CANGDPNADSMEI 2020-12-22 2020-12-22 #> 548 GANGSP 2020-12-22 2020-12-22 #> 549 MANGSP 2020-12-22 2020-12-22 #> 550 MKTGDPARA646NWDB 2020-12-22 2020-12-22 #> 551 NJNGSP 2020-12-22 2020-12-22 #> 552 RGDPNAPHA666NRUG 2020-12-22 2020-12-22 #> 553 A011RE1Q156NBEA 2020-12-22 2020-12-22 #> 554 MKTGDPSGA646NWDB 2020-12-22 2020-12-22 #> 555 NGMP16740 2020-12-22 2020-12-22 #> 556 NGMP12420 2020-12-22 2020-12-22 #> 557 B020RE1Q156NBEA 2020-12-22 2020-12-22 #> 558 CLVMNACSCAB1GQDK 2020-12-22 2020-12-22 #> 559 MKTGDPMXA646NWDB 2020-12-22 2020-12-22 #> 560 CLVMNACSCAB1GQPL 2020-12-22 2020-12-22 #> 561 GGGDTACAA188N 2020-12-22 2020-12-22 #> 562 ZAFGDPNQDSMEI 2020-12-22 2020-12-22 #> 563 DPCERA3Q086SBEA 2020-12-22 2020-12-22 #> 564 CLVMNACNSAB1GQFI 2020-12-22 2020-12-22 #> 565 DPCERA3A086NBEA 2020-12-22 2020-12-22 #> 566 DPCERY2A224NBEA 2020-12-22 2020-12-22 #> 567 CLVMNACNSAB1GQEA19 2020-12-22 2020-12-22 #> 568 TURGDPNADSMEI 2020-12-22 2020-12-22 #> 569 CPMNACSCAB1GQES 2020-12-22 2020-12-22 #> 570 A464RC1A027NBEA 2020-12-22 2020-12-22 #> 571 CPMNACSAB1GQCH 2020-12-22 2020-12-22 #> 572 MKTGDPCHA646NWDB 2020-12-22 2020-12-22 #> 573 MKTGDPESA646NWDB 2020-12-22 2020-12-22 #> 574 NGMP34980 2020-12-22 2020-12-22 #> 575 W986RC1Q027SBEA 2020-12-22 2020-12-22 #> 576 NGMP35380 2020-12-22 2020-12-22 #> 577 TXNQGSP 2020-12-22 2020-12-22 #> 578 MKTGDPPKA646NWDB 2020-12-22 2020-12-22 #> 579 DCAFRC1A027NBEA 2020-12-22 2020-12-22 #> 580 LANGSP 2020-12-22 2020-12-22 #> 581 CTNGSP 2020-12-22 2020-12-22 #> 582 MKTGDPEGA646NWDB 2020-12-22 2020-12-22 #> 583 NYGDPPCAPKDWLD 2020-12-22 2020-12-22 #> 584 USALORSGPTDSTSAM 2020-12-22 2020-12-22 #> 585 MKTGDPTHA646NWDB 2020-12-22 2020-12-22 #> 586 CANGGXWDGGDP 2020-12-22 2020-12-22 #> 587 CPMNACNSAB1GQES 2020-12-22 2020-12-22 #> 588 ZAFGDPNADSMEI 2020-12-22 2020-12-22 #> 589 A001RG3A086NBEA 2020-12-22 2020-12-22 #> 590 CPMNACSCAB1GQEU272020 2020-12-22 2020-12-22 #> 591 MEXNGDPRPCH 2020-12-22 2020-12-22 #> 592 CLVMNACNSAB1GQPL 2020-12-22 2020-12-22 #> 593 ARGNGDPRPCH 2020-12-22 2020-12-22 #> 594 B020RE1A156NBEA 2020-12-22 2020-12-22 #> 595 CLVMNACNSAB1GQDK 2020-12-22 2020-12-22 #> 596 CPMNACNSAB1GQCH 2020-12-22 2020-12-22 #> 597 CPMNACSCAB1GQCH 2020-12-22 2020-12-22 #> 598 A011RE1A156NBEA 2020-12-22 2020-12-22 #> 599 GDPSDCQ027S 2020-12-22 2020-12-22 #> 600 GDPSDCA027N 2020-12-22 2020-12-22 #> 601 CPMNACNSAB1GQEU272020 2020-12-22 2020-12-22 #> 602 RGDPNASGA666NRUG 2020-12-22 2020-12-22 #> 603 NYGDPPCAPKDMEX 2020-12-22 2020-12-22 #> 604 NMNGSP 2020-12-22 2020-12-22 #> 605 WASCUR 2020-12-22 2020-12-22 #> 606 CLVMNACSCAB1GQPT 2020-12-22 2020-12-22 #> 607 DDDI03USA156NWDB 2020-12-22 2020-12-22 #> 608 GNPGDPUSA156NUPN 2020-12-22 2020-12-22 #> 609 ZAFNGDPRPCPPPT 2020-12-22 2020-12-22 #> 610 GGNLBAUSA188N 2020-12-22 2020-12-22 #> 611 W206RC1Q156SBEA 2020-12-22 2020-12-22 #> 612 A782RC1Q027SBEA 2020-12-22 2020-12-22 #> 613 A001RV1Q225SBEA 2020-12-22 2020-12-22 #> 614 JPNBCAGDPBP6PT 2020-12-22 2020-12-22 #> 615 GDPSCDQ027S 2020-12-22 2020-12-22 #> 616 CPMNACSCAB1GQEL 2020-12-22 2020-12-22 #> 617 W986RC1A027NBEA 2020-12-22 2020-12-22 #> 618 A001RV1A225NBEA 2020-12-22 2020-12-22 #> 619 FPIC1 2020-12-22 2020-12-22 #> 620 BOGZ1FU087005995Q 2020-12-22 2020-12-22 #> 621 GDPSDYA027N 2020-12-22 2020-12-22 #> 622 BOGZ1FU087005995A 2020-12-22 2020-12-22 #> 623 NAEXKP01ITQ189S 2020-12-22 2020-12-22 #> 624 NAEXKP01ITQ657S 2020-12-22 2020-12-22 #> 625 NAEXKP01ITA657S 2020-12-22 2020-12-22 #> 626 MKTGDPGRA646NWDB 2020-12-22 2020-12-22 #> 627 QJPPAM770A 2020-12-22 2020-12-22 #> 628 FPICA 2020-12-22 2020-12-22 #> 629 NGMPUSMP 2020-12-22 2020-12-22 #> 630 CLVMNACSCAB1GQAT 2020-12-22 2020-12-22 #> 631 A074RC1Q027SBEA 2020-12-22 2020-12-22 #> 632 DEULORSGPNOSTSAM 2020-12-22 2020-12-22 #> 633 DDDI06JPA156NWDB 2020-12-22 2020-12-22 #> 634 MONGSP 2020-12-22 2020-12-22 #> 635 NGMP38060 2020-12-22 2020-12-22 #> 636 DIVIDEND 2020-12-22 2020-12-22 #> 637 HBFRGDQ188S 2020-12-22 2020-12-22 #> 638 G160371A027NBEA 2020-12-22 2020-12-22 #> 639 DDOI11ETA156NWDB 2020-12-22 2020-12-22 #> 640 NGMP14460 2020-12-22 2020-12-22 #> 641 G160851A027NBEA 2020-12-22 2020-12-22 #> 642 INNGSP 2020-12-22 2020-12-22 #> 643 NYNQGSP 2020-12-22 2020-12-22 #> 644 WUIGLOBALWEIGHTAVG 2020-12-22 2020-12-22 #> 645 DDDM01GBA156NWDB 2020-12-22 2020-12-22 #> 646 RGDPNAVEA666NRUG 2020-12-22 2020-12-22 #> 647 RGDPNATRA666NRUG 2020-12-22 2020-12-22 #> 648 A782RC1A027NBEA 2020-12-22 2020-12-22 #> 649 CPMNACNSAB1GQEL 2020-12-22 2020-12-22 #> 650 IDNGDPNQDSMEI 2020-12-22 2020-12-22 #> 651 W206RC1A156NBEA 2020-12-22 2020-12-22 #> 652 NAEXKP01NZQ189S 2020-12-22 2020-12-22 #> 653 NAEXKP01ITQ661S 2020-12-22 2020-12-22 #> 654 USMANRQGSP 2020-12-22 2020-12-22 #> 655 NICUR 2020-12-22 2020-12-22 #> 656 ND000337Q 2020-12-22 2020-12-22 #> 657 NB000337Q 2020-12-22 2020-12-22 #> 658 OB000337Q 2020-12-22 2020-12-22 #> 659 CLVMNACNSAB1GQPT 2020-12-22 2020-12-22 #> 660 USAGGXCNLGDP 2020-12-22 2020-12-22 #> 661 NAEXKP01ITA189S 2020-12-22 2020-12-22 #> 662 NAEXKP01ITA661S 2020-12-22 2020-12-22 #> 663 KORGDPNQDSMEI 2020-12-22 2020-12-22 #> 664 A577RC1Q027SBEA 2020-12-22 2020-12-22 #> 665 KORGDPNADSMEI 2020-12-22 2020-12-22 #> 666 A032RC1A027NBEA 2020-12-22 2020-12-22 #> 667 USMANRGSP 2020-12-22 2020-12-22 #> 668 A063RC1Q027SBEA 2020-12-22 2020-12-22 #> 669 RGDPNAIDA666NRUG 2020-12-22 2020-12-22 #> 670 GDPC1CTMLR 2020-12-22 2020-12-22 #> 671 WVNGSP 2020-12-22 2020-12-22 #> 672 NGMP38300 2020-12-22 2020-12-22 #> 673 VAPGDPC 2020-12-22 2020-12-22 #> 674 NGMP41700 2020-12-22 2020-12-22 #> 675 INDGDPRQPSMEI 2020-12-22 2020-12-22 #> 676 CLVMEURSCAB1GQEU28 2020-12-22 2020-12-22 #> 677 RGDPNAARA666NRUG 2020-12-22 2020-12-22 #> 678 A033RC1A027NBEA 2020-12-22 2020-12-22 #> 679 NYGDPPCAPKDRUS 2020-12-22 2020-12-22 #> 680 ORNGSP 2020-12-22 2020-12-22 #> 681 NGMP45300 2020-12-22 2020-12-22 #> 682 RGDPNAUSA666NRUG 2020-12-22 2020-12-22 #> 683 GGGDTAITA188N 2020-12-22 2020-12-22 #> 684 NAEXKP01NZQ657S 2020-12-22 2020-12-22 #> 685 CBI 2020-12-22 2020-12-22 #> 686 B235RC1Q027SBEA 2020-12-22 2020-12-22 #> 687 CLVMNACNSAB1GQAT 2020-12-22 2020-12-22 #> 688 Y006RC1Q027SBEA 2020-12-22 2020-12-22 #> 689 IDNGDPNADSMEI 2020-12-22 2020-12-22 #> 690 A074RC1A027NBEA 2020-12-22 2020-12-22 #> 691 NAEXKP01NZQ661S 2020-12-22 2020-12-22 #> 692 NAEXKP01NZA657S 2020-12-22 2020-12-22 #> 693 NAEXKP01NZA189S 2020-12-22 2020-12-22 #> 694 NA000320Q 2020-12-22 2020-12-22 #> 695 A577RC1A027NBEA 2020-12-22 2020-12-22 #> 696 A063RC1A027NBEA 2020-12-22 2020-12-22 #> 697 NAEXKP01NZA661S 2020-12-22 2020-12-22 #> 698 NAEXKP01CNA657S 2020-12-22 2020-12-22 #> 699 M318191Q027NBEA 2020-12-22 2020-12-22 #> 700 NAEXKP02CAQ189S 2020-12-22 2020-12-22 #> 701 CPMNACSAB1GQIE 2020-12-22 2020-12-22 #> 702 MKTGDPIEA646NWDB 2020-12-22 2020-12-22 #> 703 NAEXKP01CNA652S 2020-12-22 2020-12-22 #> 704 M318191A027NBEA 2020-12-22 2020-12-22 #> 705 CPMNACNSAB1GQIE 2020-12-22 2020-12-22 #> 706 CLVMNACSCAB1GQBE 2020-12-22 2020-12-22 #> 707 EQUIPCONTRIBNOW 2020-12-22 2020-12-22 #> 708 DDDI06CNA156NWDB 2020-12-22 2020-12-22 #> 709 SDNGSP 2020-12-22 2020-12-22 #> 710 KORRGDPC 2020-12-22 2020-12-22 #> 711 UTNGSP 2020-12-22 2020-12-22 #> 712 NGMP19820 2020-12-22 2020-12-22 #> 713 HDTGPDDEQ163N 2020-12-22 2020-12-22 #> 714 NVNGSP 2020-12-22 2020-12-22 #> 715 KSNGSP 2020-12-22 2020-12-22 #> 716 DDDM01DEA156NWDB 2020-12-22 2020-12-22 #> 717 NGMP41940 2020-12-22 2020-12-22 #> 718 RGDPNAPKA666NRUG 2020-12-22 2020-12-22 #> 719 W823RC1A027NBEA 2020-12-22 2020-12-22 #> 720 NAEXKP02CAQ657S 2020-12-22 2020-12-22 #> 721 NAEXKP02CAQ659S 2020-12-22 2020-12-22 #> 722 CLVMNACSCAB1GQEU28 2020-12-22 2020-12-22 #> 723 NA000373Q 2020-12-22 2020-12-22 #> 724 Y006RC1A027NBEA 2020-12-22 2020-12-22 #> 725 W823RC1Q027SBEA 2020-12-22 2020-12-22 #> 726 NAEXKP02CAQ661S 2020-12-22 2020-12-22 #> 727 CBIA 2020-12-22 2020-12-22 #> 728 NAEXKP01CNA661S 2020-12-22 2020-12-22 #> 729 INDGDPRAPSMEI 2020-12-22 2020-12-22 #> 730 CLVMEURNSAB1GQEU28 2020-12-22 2020-12-22 #> 731 B235RC1A027NBEA 2020-12-22 2020-12-22 #> 732 NAEXKP02CAA189S 2020-12-22 2020-12-22 #> 733 COFC 2020-12-22 2020-12-22 #> 734 XTEXVA01JPQ188S 2020-12-22 2020-12-22 #> 735 NAEXKP02CAA659S 2020-12-22 2020-12-22 #> 736 NAEXKP02CAA657S 2020-12-22 2020-12-22 #> 737 NAEXKP02CAA661S 2020-12-22 2020-12-22 #> 738 XTEXVA01JPA188S 2020-12-22 2020-12-22 #> 739 B703RC1Q027SBEA 2020-12-22 2020-12-22 #> 740 DDDI06CAA156NWDB 2020-12-22 2020-12-22 #> 741 W388RC1A027NBEA 2020-12-22 2020-12-22 #> 742 MDNGSP 2020-12-22 2020-12-22 #> 743 NYGDPPCAPKDIRN 2020-12-22 2020-12-22 #> 744 IANGSP 2020-12-22 2020-12-22 #> 745 B1448C1A027NBEA 2020-12-22 2020-12-22 #> 746 MKTGDPAUA646NWDB 2020-12-22 2020-12-22 #> 747 NGMP36740 2020-12-22 2020-12-22 #> 748 NGMP41740 2020-12-22 2020-12-22 #> 749 W457RC1A027NBEA 2020-12-22 2020-12-22 #> 750 NYGDPPCAPKDAUS 2020-12-22 2020-12-22 #> 751 HPGDPUKA 2020-12-22 2020-12-22 #> 752 NGMP38900 2020-12-22 2020-12-22 #> 753 NYGDPPCAPKDVEN 2020-12-22 2020-12-22 #> 754 MKTGDPTRA646NWDB 2020-12-22 2020-12-22 #> 755 NDNGSP 2020-12-22 2020-12-22 #> 756 NYGDPPCAPKDCHL 2020-12-22 2020-12-22 #> 757 SAUDGDPGDPPT 2020-12-22 2020-12-22 #> 758 HDTGPDITQ163N 2020-12-22 2020-12-22 #> 759 GGGDTABRA188N 2020-12-22 2020-12-22 #> 760 CLVMNACNSAB1GQBE 2020-12-22 2020-12-22 #> 761 HDTGPDDEA163N 2020-12-22 2020-12-22 #> 762 A489RA3Q086SBEA 2020-12-22 2020-12-22 #> 763 NA000251Q 2020-12-22 2020-12-22 #> 764 B703RC1A027NBEA 2020-12-22 2020-12-22 #> 765 CLVMNACNSAB1GQEU28 2020-12-22 2020-12-22 #> 766 CPMNACSCAB1GQFI 2020-12-22 2020-12-22 #> 767 QXMPAM770A 2020-12-22 2020-12-22 #> 768 VNMBCAGDPBP6PT 2020-12-22 2020-12-22 #> 769 MKTGDPFIA646NWDB 2020-12-22 2020-12-22 #> 770 W055RC1Q027SBEA 2020-12-22 2020-12-22 #> 771 A489RA3A086NBEA 2020-12-22 2020-12-22 #> 772 BRAGGXWDGGDP 2020-12-22 2020-12-22 #> 773 VANGSP 2020-12-22 2020-12-22 #> 774 A019RY2Q224SBEA 2020-12-22 2020-12-22 #> 775 WYNGSP 2020-12-22 2020-12-22 #> 776 PCAGDPCNA646NWDB 2020-12-22 2020-12-22 #> 777 DEBTTLCAA188A 2020-12-22 2020-12-22 #> 778 ZAFNGDPRPCPCPPPT 2020-12-22 2020-12-22 #> 779 KYNGSP 2020-12-22 2020-12-22 #> 780 PCAGDPJPA646NWDB 2020-12-22 2020-12-22 #> 781 NYGDPPCAPKDARG 2020-12-22 2020-12-22 #> 782 A034RC1A027NBEA 2020-12-22 2020-12-22 #> 783 NGMP32820 2020-12-22 2020-12-22 #> 784 MKTGDPETA646NWDB 2020-12-22 2020-12-22 #> 785 USAGGRGDP 2020-12-22 2020-12-22 #> 786 HDTGPDITA163N 2020-12-22 2020-12-22 #> 787 A955RX1Q020SBEA 2020-12-22 2020-12-22 #> 788 DMOTRC1Q027SBEA 2020-12-22 2020-12-22 #> 789 A466RD3Q052SBEA 2020-12-22 2020-12-22 #> 790 W055RC1A027NBEA 2020-12-22 2020-12-22 #> 791 CPMNACNSAB1GQFI 2020-12-22 2020-12-22 #> 792 MKTGDPUSA646NWDB 2020-12-22 2020-12-22 #> 793 A008RE1Q156NBEA 2020-12-22 2020-12-22 #> 794 CLVMNACSCAB1GQCZ 2020-12-22 2020-12-22 #> 795 FINSLC1 2020-12-22 2020-12-22 #> 796 DEUGDPNQDSMEI 2020-12-22 2020-12-22 #> 797 NFCPATAX 2020-12-22 2020-12-22 #> 798 A466RC1A027NBEA 2020-12-22 2020-12-22 #> 799 DEUGDPNADSMEI 2020-12-22 2020-12-22 #> 800 CLVMNACNSAB1GQCZ 2020-12-22 2020-12-22 #> 801 DGDSRC1Q027SBEA 2020-12-22 2020-12-22 #> 802 A190RO1Q156NBEA 2020-12-22 2020-12-22 #> 803 A008RE1A156NBEA 2020-12-22 2020-12-22 #> 804 FINSLCA 2020-12-22 2020-12-22 #> 805 A190RL1Q225SBEA 2020-12-22 2020-12-22 #> 806 A019RY2A224NBEA 2020-12-22 2020-12-22 #> 807 DMOTRC1A027NBEA 2020-12-22 2020-12-22 #> 808 DGDSRC1A027NBEA 2020-12-22 2020-12-22 #> 809 USANGDPRPCH 2020-12-22 2020-12-22 #> 810 B069RC1Q027SBEA 2020-12-22 2020-12-22 #> 811 A955RL1Q225SBEA 2020-12-22 2020-12-22 #> 812 NA000347Q 2020-12-22 2020-12-22 #> 813 A466RD3A052NBEA 2020-12-22 2020-12-22 #> 814 SAUNGDPXORPCHPT 2020-12-22 2020-12-22 #> 815 NGMP33460 2020-12-22 2020-12-22 #> 816 DEBTTLGRA188A 2020-12-22 2020-12-22 #> 817 NGMP37980 2020-12-22 2020-12-22 #> 818 NGMP47900 2020-12-22 2020-12-22 #> 819 DDDM01CAA156NWDB 2020-12-22 2020-12-22 #> 820 A796RX0Q048SBEA 2020-12-22 2020-12-22 #> 821 DEBTTLGBA188A 2020-12-22 2020-12-22 #> 822 MKTGDPSAA646NWDB 2020-12-22 2020-12-22 #> 823 OKNGSP 2020-12-22 2020-12-22 #> 824 MENGSP 2020-12-22 2020-12-22 #> 825 A679RC1Q027SBEA 2020-12-22 2020-12-22 #> 826 DDOI11PHA156NWDB 2020-12-22 2020-12-22 #> 827 USABCAGDPBP6 2020-12-22 2020-12-22 #> 828 IRQDGDPGDPPT 2020-12-22 2020-12-22 #> 829 A190RL1A225NBEA 2020-12-22 2020-12-22 #> 830 A955RX1A020NBEA 2020-12-22 2020-12-22 #> 831 A955RL1A225NBEA 2020-12-22 2020-12-22 #> 832 NC000347Q 2020-12-22 2020-12-22 #> 833 B069RC1A027NBEA 2020-12-22 2020-12-22 #> 834 CANGDPRQPSMEI 2020-12-22 2020-12-22 #> 835 W170RC1Q027SBEA 2020-12-22 2020-12-22 #> 836 DHUTRC1Q027SBEA 2020-12-22 2020-12-22 #> 837 CLVMNACSAB1GQIS 2020-12-22 2020-12-22 #> 838 GGGDTAMXA188N 2020-12-22 2020-12-22 #> 839 CLVMNACNSAB1GQEU15 2020-12-22 2020-12-22 #> 840 CLVMNACSCAB1GQEU15 2020-12-22 2020-12-22 #> 841 CLVMNACNSAB1GQIS 2020-12-22 2020-12-22 #> 842 DGDSRX1Q020SBEA 2020-12-22 2020-12-22 #> 843 DGDSRL1Q225SBEA 2020-12-22 2020-12-22 #> 844 W170RC1A027NBEA 2020-12-22 2020-12-22 #> 845 MEXGGXWDGGDP 2020-12-22 2020-12-22 #> 846 CANGDPRAPSMEI 2020-12-22 2020-12-22 #> 847 DHUTRC1A027NBEA 2020-12-22 2020-12-22 #> 848 DGDSRO1Q156NBEA 2020-12-22 2020-12-22 #> 849 DGDSRL1A225NBEA 2020-12-22 2020-12-22 #> 850 DGDSRX1A020NBEA 2020-12-22 2020-12-22 #> 851 NB000347Q 2020-12-22 2020-12-22 #> 852 ND000347Q 2020-12-22 2020-12-22 #> 853 OB000347Q 2020-12-22 2020-12-22 #> 854 PROPINC 2020-12-22 2020-12-22 #> 855 HDTGPDGBQ163N 2020-12-22 2020-12-22 #> 856 A053RC1A027NBEA 2020-12-22 2020-12-22 #> 857 FLNQGSP 2020-12-22 2020-12-22 #> 858 DEBTTLCHA188A 2020-12-22 2020-12-22 #> 859 NGMP18140 2020-12-22 2020-12-22 #> 860 USARGDPE 2020-12-22 2020-12-22 #> 861 TXRGSP 2020-12-22 2020-12-22 #> 862 RGDPNAVNA666NRUG 2020-12-22 2020-12-22 #> 863 DDDM01BRA156NWDB 2020-12-22 2020-12-22 #> 864 MKTGDPAEA646NWDB 2020-12-22 2020-12-22 #> 865 CPGDPG 2020-12-22 2020-12-22 #> 866 NGMP17140 2020-12-22 2020-12-22 #> 867 NYGDPPCAPKDFRA 2020-12-22 2020-12-22 #> 868 RGDPCHTWA625NUPN 2020-12-22 2020-12-22 #> 869 MTNGSP 2020-12-22 2020-12-22 #> 870 DDDM01RUA156NWDB 2020-12-22 2020-12-22 #> 871 NGMP41180 2020-12-22 2020-12-22 #> 872 SCNGSP 2020-12-22 2020-12-22 #> 873 HDTGPDAUQ163N 2020-12-22 2020-12-22 #> 874 NYRGSP 2020-12-22 2020-12-22 #> 875 RGMP17460 2020-12-22 2020-12-22 #> 876 NGMP19740 2020-12-22 2020-12-22 #> 877 DDDI13USA156NWDB 2020-12-22 2020-12-22 #> 878 GCDODTOTLGDZSEUU 2020-12-22 2020-12-22 #> 879 CHNGDPRAPSMEI 2020-12-22 2020-12-22 #> 880 XTEXVA01USQ188S 2020-12-22 2020-12-22 #> 881 XTEXVA01USA188S 2020-12-22 2020-12-22 #> 882 AREDGDPGDPPT 2020-12-22 2020-12-22 #> 883 A014RY2Q224SBEA 2020-12-22 2020-12-22 #> 884 A455RC1Q027SBEA 2020-12-22 2020-12-22 #> 885 DHLCRG3Q086SBEA 2020-12-22 2020-12-22 #> 886 W202RC1Q027SBEA 2020-12-22 2020-12-22 #> 887 W171RC1Q027SBEA 2020-12-22 2020-12-22 #> 888 Y001RE1Q156NBEA 2020-12-22 2020-12-22 #> 889 GGGDTAUSA188N 2020-12-22 2020-12-22 #> 890 CPMNACSCAB1GQPL 2020-12-22 2020-12-22 #> 891 CPMNACSCAB1GQNO 2020-12-22 2020-12-22 #> 892 B009RX1Q020SBEA 2020-12-22 2020-12-22 #> 893 M2V 2020-12-22 2020-12-22 #> 894 MKTGDPNOA646NWDB 2020-12-22 2020-12-22 #> 895 A014RY2A224NBEA 2020-12-22 2020-12-22 #> 896 MKTGDPPLA646NWDB 2020-12-22 2020-12-22 #> 897 CPMNACNSAB1GQPL 2020-12-22 2020-12-22 #> 898 ND000339Q 2020-12-22 2020-12-22 #> 899 USAGGXWDGGDP 2020-12-22 2020-12-22 #> 900 XTEXVA01DEQ188S 2020-12-22 2020-12-22 #> 901 CPMNACNSAB1GQNO 2020-12-22 2020-12-22 #> 902 A455RC1A027NBEA 2020-12-22 2020-12-22 #> 903 A009RL1Q225SBEA 2020-12-22 2020-12-22 #> 904 A009RL1A225NBEA 2020-12-22 2020-12-22 #> 905 A009RO1Q156NBEA 2020-12-22 2020-12-22 #> 906 DHLCRG3A086NBEA 2020-12-22 2020-12-22 #> 907 W202RC1A027NBEA 2020-12-22 2020-12-22 #> 908 W171RC1A027NBEA 2020-12-22 2020-12-22 #> 909 XTEXVA01DEA188S 2020-12-22 2020-12-22 #> 910 NA000268Q 2020-12-22 2020-12-22 #> 911 NB000339Q 2020-12-22 2020-12-22 #> 912 OB000339Q 2020-12-22 2020-12-22 #> 913 Y001RE1A156NBEA 2020-12-22 2020-12-22 #> 914 RGDPNAAUA666NRUG 2020-12-22 2020-12-22 #> 915 ARNGSP 2020-12-22 2020-12-22 #> 916 FGDEF 2020-12-22 2020-12-22 #> 917 Y033RC1Q027SBEA 2020-12-22 2020-12-22 #> 918 PPPTTLTWA618NUPN 2020-12-22 2020-12-22 #> 919 DDOI11BDA156NWDB 2020-12-22 2020-12-22 #> 920 WYGOVSLNGSP 2020-12-22 2020-12-22 #> 921 RGDPNAILA666NRUG 2020-12-22 2020-12-22 #> 922 DDOI11NPA156NWDB 2020-12-22 2020-12-22 #> 923 GDPALL06059 2020-12-22 2020-12-22 #> 924 DEBTTLITA188A 2020-12-22 2020-12-22 #> 925 NGANGDPRPCPCPPPT 2020-12-22 2020-12-22 #> 926 NYGDPPCAPKDESP 2020-12-22 2020-12-22 #> 927 MKTGDPRUA646NWDB 2020-12-22 2020-12-22 #> 928 NAGIGP01EZQ661S 2020-12-22 2020-12-22 #> 929 DDDM03CNA156NWDB 2020-12-22 2020-12-22 #> 930 NGMP28140 2020-12-22 2020-12-22 #> 931 DEURGDPR 2020-12-22 2020-12-22 #> 932 GGGDTAAUA188N 2020-12-22 2020-12-22 #> 933 GGNLBADEA188N 2020-12-22 2020-12-22 #> 934 B057RC1Q027SBEA 2020-12-22 2020-12-22 #> 935 MKTGDPCOA646NWDB 2020-12-22 2020-12-22 #> 936 NAEXKP01FRQ657S 2020-12-22 2020-12-22 #> 937 QITPAM770A 2020-12-22 2020-12-22 #> 938 DDURRG3Q086SBEA 2020-12-22 2020-12-22 #> 939 NAEXKP01FRQ189S 2020-12-22 2020-12-22 #> 940 COLNGDPRPCH 2020-12-22 2020-12-22 #> 941 XTEXVA01RUQ188S 2020-12-22 2020-12-22 #> 942 NAEXKP01FRQ661S 2020-12-22 2020-12-22 #> 943 XTEXVA01RUA188S 2020-12-22 2020-12-22 #> 944 NA000314Q 2020-12-22 2020-12-22 #> 945 B057RC1A027NBEA 2020-12-22 2020-12-22 #> 946 DDURRG3A086NBEA 2020-12-22 2020-12-22 #> 947 AFDEF 2020-12-22 2020-12-22 #> 948 Y033RC1A027NBEA 2020-12-22 2020-12-22 #> 949 NA000340Q 2020-12-22 2020-12-22 #> 950 NC000340Q 2020-12-22 2020-12-22 #> 951 NAGIGP01EZA661S 2020-12-22 2020-12-22 #> 952 NAEXKP01FRA657S 2020-12-22 2020-12-22 #> 953 NAEXKP01FRA189S 2020-12-22 2020-12-22 #> 954 NAEXKP01FRA661S 2020-12-22 2020-12-22 #> 955 XTEXVA01CAQ188S 2020-12-22 2020-12-22 #> 956 XTEXVA01CAA188S 2020-12-22 2020-12-22 #> 957 DEBTTLIDA188A 2020-12-22 2020-12-22 #> 958 NGMP39580 2020-12-22 2020-12-22 #> 959 MKTGDPHKA646NWDB 2020-12-22 2020-12-22 #> 960 PPPTT2CNA618NUPN 2020-12-22 2020-12-22 #> 961 W369RG3Q066SBEA 2020-12-22 2020-12-22 #> 962 DEURGDPC 2020-12-22 2020-12-22 #> 963 NYGDPPCAPKDMYS 2020-12-22 2020-12-22 #> 964 B359RC1Q027SBEA 2020-12-22 2020-12-22 #> 965 VAPGDPAFH 2020-12-22 2020-12-22 #> 966 RGDPCHUSA625NUPN 2020-12-22 2020-12-22 #> 967 NGMP41620 2020-12-22 2020-12-22 #> 968 DDDI051WA156NWDB 2020-12-22 2020-12-22 #> 969 A4382C0A173NBEA 2020-12-22 2020-12-22 #> 970 NYGDPPCAPKDPHL 2020-12-22 2020-12-22 #> 971 RGDPNASAA666NRUG 2020-12-22 2020-12-22 #> 972 LABSHPCNA156NRUG 2020-12-22 2020-12-22 #> 973 NYGDPPCAPKDBRA 2020-12-22 2020-12-22 #> 974 NYGDPPCAPKDCHE 2020-12-22 2020-12-22 #> 975 RGDPNATHA666NRUG 2020-12-22 2020-12-22 #> 976 GGGDTAGRC188N 2020-12-22 2020-12-22 #> 977 MEXBCAGDPBP6 2020-12-22 2020-12-22 #> 978 CANGGXGDP 2020-12-22 2020-12-22 #> 979 GNPGDPCNA156NUPN 2020-12-22 2020-12-22 #> 980 B096RC1Q027SBEA 2020-12-22 2020-12-22 #> 981 IDNGDPRQPSMEI 2020-12-22 2020-12-22 #> 982 PSDOTUKA 2020-12-22 2020-12-22 #> 983 CPMNACSCAB1GQNL 2020-12-22 2020-12-22 #> 984 NAEXKP02INQ189S 2020-12-22 2020-12-22 #> 985 NAEXKP04USQ652S 2020-12-22 2020-12-22 #> 986 NAEXKP01EZQ657S 2020-12-22 2020-12-22 #> 987 NAEXKP01ZAQ652S 2020-12-22 2020-12-22 #> 988 NAEXKP01ZAQ661S 2020-12-22 2020-12-22 #> 989 NAEXKP01ZAQ657S 2020-12-22 2020-12-22 #> 990 MKTGDPNLA646NWDB 2020-12-22 2020-12-22 #> 991 NAEXKP01EZQ661S 2020-12-22 2020-12-22 #> 992 GNPGD2CNA156NUPN 2020-12-22 2020-12-22 #> 993 NAEXKP01EZQ659S 2020-12-22 2020-12-22 #> 994 NAEXKP04USQ657S 2020-12-22 2020-12-22 #> 995 NAEXKP01ZAA657S 2020-12-22 2020-12-22 #> 996 NAEXKP02INQ659S 2020-12-22 2020-12-22 #> 997 NAEXKP02INQ657S 2020-12-22 2020-12-22 #> 998 NAEXKP01EZQ652S 2020-12-22 2020-12-22 #> 999 NAEXKP01ZAA661S 2020-12-22 2020-12-22 #> 1000 CPMNACNSAB1GQNL 2020-12-22 2020-12-22 #> title #> 1 Real Gross Domestic Product #> 2 Real Gross Domestic Product #> 3 Real Gross Domestic Product #> 4 Real Gross Domestic Product #> 5 Real Gross Domestic Product #> 6 Real Gross Domestic Product #> 7 Real Gross Domestic Product #> 8 Real Gross Domestic Product #> 9 Gross Domestic Product #> 10 Gross Domestic Product #> 11 Gross Domestic Product #> 12 Gross Domestic Product #> 13 Gross Domestic Product #> 14 Gross Domestic Product #> 15 Gross Domestic Product #> 16 Federal Debt: Total Public Debt as Percent of Gross Domestic Product #> 17 Personal Consumption Expenditures #> 18 Personal Consumption Expenditures #> 19 Personal Consumption Expenditures #> 20 Personal Consumption Expenditures #> 21 Gross Domestic Product: Implicit Price Deflator #> 22 Real Personal Consumption Expenditures #> 23 Gross Domestic Product: Implicit Price Deflator #> 24 Real Personal Consumption Expenditures #> 25 Real gross domestic product per capita #> 26 Gross Domestic Product: Implicit Price Deflator #> 27 Real Personal Consumption Expenditures #> 28 Real Personal Consumption Expenditures #> 29 Real Personal Consumption Expenditures #> 30 Real Potential Gross Domestic Product #> 31 Real Personal Consumption Expenditures #> 32 Real Personal Consumption Expenditures #> 33 Real Personal Consumption Expenditures #> 34 Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) #> 35 Real Disposable Personal Income #> 36 Stock Market Capitalization to GDP for United States #> 37 Personal consumption expenditures excluding food and energy (chain-type price index) #> 38 Real disposable personal income #> 39 Real Disposable Personal Income #> 40 Real Disposable Personal Income #> 41 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product #> 42 Corporate Profits After Tax (without IVA and CCAdj) #> 43 Real Disposable Personal Income #> 44 Personal Consumption Expenditures: Chain-type Price Index #> 45 Household Debt to GDP for United States #> 46 Real Gross Private Domestic Investment #> 47 Real Disposable Personal Income: Per Capita #> 48 Personal Consumption Expenditures: Chain-type Price Index #> 49 Real Disposable Personal Income: Per Capita #> 50 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product #> 51 Real Gross Private Domestic Investment #> 52 Real Gross Private Domestic Investment #> 53 Real Gross Private Domestic Investment #> 54 Real Gross Private Domestic Investment #> 55 Real Gross Private Domestic Investment #> 56 Real Gross Private Domestic Investment #> 57 Real Gross Private Domestic Investment #> 58 Gross Private Domestic Investment #> 59 Net Exports of Goods and Services #> 60 Personal Income #> 61 Gross Domestic Product for China #> 62 Personal income #> 63 Government total expenditures #> 64 Net exports of goods and services #> 65 Gross Private Domestic Investment #> 66 Net exports of goods and services #> 67 Gross Private Domestic Investment #> 68 Federal government current tax receipts #> 69 Federal Receipts as Percent of Gross Domestic Product #> 70 Real Gross Domestic Product for Japan #> 71 Gross National Product #> 72 Real Gross Domestic Product for United Kingdom #> 73 Gross Private Domestic Investment #> 74 Population #> 75 Population #> 76 Percent Change of Gross Domestic Product #> 77 Federal Outlays: Interest as Percent of Gross Domestic Product #> 78 Government total expenditures #> 79 Gross National Product #> 80 Real imports of goods and services #> 81 Real Gross Domestic Product for United Kingdom #> 82 Gross National Product #> 83 Gross National Product #> 84 Federal government current tax receipts #> 85 Real Gross Domestic Product for United Kingdom #> 86 Federal government current tax receipts #> 87 Dates of U.S. recessions as inferred by GDP-based recession indicator #> 88 Real Gross Domestic Product for Germany #> 89 GDPNow #> 90 Personal Consumption Expenditures: Durable Goods #> 91 Gross Domestic Product for Japan #> 92 Disposable Personal Income #> 93 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 94 Real Imports of Goods and Services #> 95 St. Louis Fed Economic News Index: Real GDP Nowcast #> 96 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Normalised for the United States #> 97 Disposable personal income #> 98 Exports of Goods and Services #> 99 Personal Consumption Expenditures: Durable Goods #> 100 Gross Domestic Product for Japan #> 101 Real Imports of Goods and Services #> 102 Real Imports of Goods and Services #> 103 Disposable Personal Income #> 104 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 105 Personal Consumption Expenditures: Durable Goods #> 106 Real Imports of Goods and Services #> 107 Personal Consumption Expenditures: Durable Goods #> 108 Real Imports of Goods and Services #> 109 Disposable Personal Income #> 110 Real Imports of Goods and Services #> 111 Federal Government: Current Expenditures #> 112 FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, Midpoint #> 113 Gross Federal Debt as Percent of Gross Domestic Product #> 114 Current Price Gross Domestic Product in China #> 115 Real Imports of Goods and Services #> 116 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 117 Real Gross Domestic Product for Germany #> 118 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 119 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 120 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Canada #> 121 Shares of gross domestic product: Personal consumption expenditures #> 122 Real Government Consumption Expenditures and Gross Investment #> 123 Exports of Goods and Services #> 124 Exports of Goods and Services #> 125 Exports of Goods and Services #> 126 National income: Corporate profits before tax (without IVA and CCAdj) #> 127 Personal Consumption Expenditures: Nondurable Goods #> 128 Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for United States #> 129 Personal Saving #> 130 Current Price Gross Domestic Product in China #> 131 Federal Government: Current Expenditures #> 132 Personal saving #> 133 All Employees, Total Nonfarm #> 134 Net domestic investment: Private: Domestic business #> 135 Federal Net Outlays as Percent of Gross Domestic Product #> 136 Real Total Gross Domestic Product for California #> 137 Real GDP at Constant National Prices for China #> 138 Real Gross Domestic Product for Italy #> 139 Real Exports of Goods and Services #> 140 Real Government Consumption Expenditures and Gross Investment #> 141 Personal Consumption Expenditures: Nondurable Goods #> 142 Personal income per capita #> 143 Real Government Consumption Expenditures and Gross Investment #> 144 Personal Consumption Expenditures: Services #> 145 Shares of gross domestic product: Personal consumption expenditures #> 146 Gross domestic product per capita #> 147 Gross domestic product per capita #> 148 Personal Consumption Expenditures: Nondurable Goods #> 149 Personal income per capita #> 150 Real Government Consumption Expenditures and Gross Investment #> 151 Personal Consumption Expenditures: Nondurable Goods #> 152 Real Government Consumption Expenditures and Gross Investment #> 153 Real Government Consumption Expenditures and Gross Investment #> 154 Real Government Consumption Expenditures and Gross Investment #> 155 Real Government Consumption Expenditures and Gross Investment #> 156 Share of Labour Compensation in GDP at Current National Prices for United States #> 157 Real Exports of Goods and Services #> 158 All Employees, Total Nonfarm #> 159 Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) #> 160 Private Nonresidential Fixed Investment #> 161 Net domestic investment: Private: Domestic business #> 162 Real Gross Domestic Product for Italy #> 163 Imports of Goods and Services #> 164 Personal Consumption Expenditures: Services #> 165 Real Exports of Goods and Services #> 166 Real Exports of Goods and Services #> 167 Real Exports of Goods and Services #> 168 Personal Consumption Expenditures: Services #> 169 Personal Consumption Expenditures: Services #> 170 Real Exports of Goods and Services #> 171 Real Exports of Goods and Services #> 172 Real Exports of Goods and Services #> 173 Gross Private Saving #> 174 Real Gross Domestic Product for France #> 175 Federal government budget surplus or deficit (-) #> 176 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 177 Federal Debt Held by the Public as Percent of Gross Domestic Product #> 178 Corporate Profits After Tax with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) #> 179 Total Gross Domestic Product for Texas #> 180 Global Economic Policy Uncertainty Index: Current Price Adjusted GDP #> 181 Bank of England Balance Sheet - Total Assets in the United Kingdom #> 182 Total External Debt for Pakistan #> 183 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 184 Imports of Goods and Services #> 185 Gross Domestic Product (Euro/ECU series) for Euro area (19 countries) #> 186 Private Nonresidential Fixed Investment #> 187 Private Nonresidential Fixed Investment #> 188 Federal government budget surplus or deficit (-) #> 189 Imports of Goods and Services #> 190 Imports of Goods and Services #> 191 Private Nonresidential Fixed Investment #> 192 Central government debt, total (% of GDP) for Japan #> 193 Total Gross Domestic Product for New York #> 194 Real Gross Domestic Product for France #> 195 Federal government current transfer payments: Government social benefits: to persons #> 196 Gross private saving #> 197 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 198 GDP Implicit Price Deflator in United States #> 199 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 200 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 201 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for India #> 202 GDP Implicit Price Deflator in United States #> 203 Private Residential Fixed Investment #> 204 Gross Domestic Product for United Kingdom #> 205 Real Personal Consumption Expenditures: Durable Goods #> 206 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 207 Federal government current transfer payments: Government social benefits: to persons #> 208 Real Personal Consumption Expenditures: Durable Goods #> 209 Personal saving as a percentage of disposable personal income #> 210 Real personal consumption expenditures per capita #> 211 Federal government current expenditures: Interest payments #> 212 Nominal Potential Gross Domestic Product #> 213 Shares of gross domestic product: Gross private domestic investment #> 214 Real Personal Consumption Expenditures: Durable Goods #> 215 Federal government current transfer payments: Government social benefits: to persons #> 216 Real Personal Consumption Expenditures: Durable Goods #> 217 Real Personal Consumption Expenditures: Durable Goods #> 218 Gross Domestic Product for United Kingdom #> 219 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 220 Gross Domestic Product for United Kingdom #> 221 Constant GDP per capita for China #> 222 Private Residential Fixed Investment #> 223 Real Private Nonresidential Fixed Investment #> 224 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 225 Gross Domestic Product for United Kingdom #> 226 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 227 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 228 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Australia #> 229 Personal saving as a percentage of disposable personal income #> 230 GDP-Based Recession Indicator Index #> 231 Total Gross Domestic Product for Florida #> 232 Federal government current tax receipts: Taxes on corporate income #> 233 Real GDP at Constant National Prices for Canada #> 234 Central Bank Assets to GDP for United States #> 235 Real Gross Domestic Product for Spain #> 236 Shares of gross domestic product: Gross private domestic investment #> 237 Gross Domestic Product for Canada #> 238 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 239 Gross Domestic Product for Germany #> 240 Federal government current expenditures: Interest payments #> 241 Real Private Nonresidential Fixed Investment #> 242 Real Private Nonresidential Fixed Investment #> 243 Hours worked by full-time and part-time employees #> 244 Balance on Current Account, NIPA's #> 245 Value Added by Private Industries: Manufacturing as a Percentage of GDP #> 246 Real Gross Domestic Product for Sweden #> 247 Real Gross Domestic Product for Greece #> 248 Personal consumption expenditures (implicit price deflator) #> 249 Real Private Nonresidential Fixed Investment #> 250 Real Private Nonresidential Fixed Investment #> 251 Gross Domestic Product for Germany #> 252 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 253 Gross Domestic Product for Canada #> 254 Gross Domestic Product for Germany #> 255 Real Gross Domestic Product (Euro/ECU series) for Euro area (19 countries) #> 256 Stock Market Capitalization to GDP for World (DISCONTINUED) #> 257 Real personal income excluding current transfer receipts #> 258 Real Gross Domestic Product for Spain #> 259 Government Consumption Expenditures and Gross Investment #> 260 Net saving as a percentage of gross national income #> 261 Current Price Gross Domestic Product in Australia #> 262 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 263 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 264 Federal government current tax receipts: Taxes on corporate income #> 265 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 266 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Republic of Korea #> 267 Real personal income excluding current transfer receipts #> 268 Shares of gross domestic product: Net exports of goods and services #> 269 Personal consumption expenditures (implicit price deflator) #> 270 Shares of gross domestic product: Net exports of goods and services #> 271 Real GDP at Constant National Prices for India #> 272 Total wages and salaries, BLS #> 273 Real Gross Domestic Product for Sweden #> 274 Real Gross Domestic Product for Greece #> 275 Real Gross Domestic Product (DISCONTINUED) #> 276 Real Net Exports of Goods and Services #> 277 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 278 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 279 Current Price Gross Domestic Product in Australia #> 280 Government Consumption Expenditures and Gross Investment #> 281 Net saving as a percentage of gross national income #> 282 Federal Government: National Defense Consumption Expenditures and Gross Investment #> 283 Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) #> 284 Outstanding Domestic Private Debt Securities to GDP for United States #> 285 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Normalised for China #> 286 Real Gross Domestic Product (Euro/ECU series) for Euro area (19 countries) #> 287 Government Consumption Expenditures and Gross Investment #> 288 Gross Saving #> 289 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 290 Government Consumption Expenditures and Gross Investment #> 291 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 292 Real net exports of goods and services #> 293 Real Gross Domestic Product (DISCONTINUED) #> 294 Real Gross Domestic Product (DISCONTINUED) #> 295 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 296 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 297 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 298 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 299 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 300 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 301 Gross Domestic Product for European Union (28 countries) #> 302 Federal Government Current Receipts #> 303 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Mexico #> 304 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Brazil #> 305 Real Net Exports of Goods and Services #> 306 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 307 Gross Domestic Product for Italy #> 308 Gross saving #> 309 Total Gross Domestic Product for Seattle-Tacoma-Bellevue, WA (MSA) #> 310 General government gross debt for China #> 311 Gross Domestic Income #> 312 Real Gross Domestic Product for Switzerland #> 313 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 314 Gross Domestic Product for Italy #> 315 Gross Domestic Product for Italy #> 316 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 317 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 318 Gross Domestic Product for European Union (28 countries) #> 319 Federal Government Current Receipts #> 320 Total Gross Domestic Product for San Francisco-Oakland-Hayward, CA (MSA) #> 321 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 322 Household Debt to GDP for Canada #> 323 Federal Government: Tax Receipts on Corporate Income #> 324 Constant GDP per capita for Japan #> 325 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 326 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Turkey #> 327 Gross Government Saving #> 328 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 329 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 330 Total Credit to Non-Financial Corporations, Adjusted for Breaks, for United States #> 331 Real Gross National Product #> 332 Real Gross Domestic Product for Switzerland #> 333 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 334 Real Gross Domestic Product for Switzerland #> 335 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 336 Real Gross National Product #> 337 Gross Domestic Product for India #> 338 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 339 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United States #> 340 Constant Price Gross Domestic Product in Australia #> 341 Gross Domestic Product for France #> 342 Real Gross National Product #> 343 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 344 Gross National Product: Implicit Price Deflator #> 345 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 346 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 347 Real Gross National Product #> 348 Gross government saving #> 349 Real Gross National Product #> 350 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 351 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 352 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 353 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Russian Federation #> 354 Total Gross Domestic Product for California #> 355 Personal Consumption Expenditures (PCE) Excluding Food and Energy (chain-type price index) #> 356 Real Private Residential Fixed Investment #> 357 Gross Domestic Product for France #> 358 Gross National Product: Implicit Price Deflator #> 359 Gross National Product: Implicit Price Deflator #> 360 Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for China #> 361 Gross Domestic Product for France #> 362 Constant Price Gross Domestic Product in Australia #> 363 Real Personal Consumption Expenditures: Services #> 364 Total Gross Domestic Product for Chicago-Naperville-Elgin, IL-IN-WI (MSA) #> 365 Total Gross Domestic Product for Ohio #> 366 Gross Domestic Product for Republic of Korea #> 367 Total Gross Domestic Product by Industry for California #> 368 Stock Market Capitalization to GDP for China #> 369 Purchasing Power Parity over GDP for United States #> 370 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Original series for the Euro Area #> 371 Corporate business: Profits before tax (without IVA and CCAdj) #> 372 Real Personal Consumption Expenditures: Nondurable Goods #> 373 Personal Consumption Expenditures (PCE) Excluding Food and Energy (chain-type price index) #> 374 Shares of gross domestic product: Government consumption expenditures and gross investment #> 375 Real Personal Consumption Expenditures: Nondurable Goods #> 376 Real Personal Consumption Expenditures: Services #> 377 Real Gross Domestic Product for Ireland #> 378 Real Gross Domestic Product for Ireland #> 379 Real Personal Consumption Expenditures: Nondurable Goods #> 380 Real Private Residential Fixed Investment #> 381 Real Private Residential Fixed Investment #> 382 Real Personal Consumption Expenditures: Services #> 383 Real Personal Consumption Expenditures: Services #> 384 Real Personal Consumption Expenditures: Nondurable Goods #> 385 Real Personal Consumption Expenditures: Services #> 386 Real Personal Consumption Expenditures: Services #> 387 Real Personal Consumption Expenditures: Nondurable Goods #> 388 Real Personal Consumption Expenditures: Services #> 389 Real Personal Consumption Expenditures: Services #> 390 Fixed Private Investment #> 391 Total Gross Domestic Product for Pennsylvania #> 392 Total Gross Domestic Product for Washington #> 393 Total Gross Domestic Product for Las Vegas-Henderson-Paradise, NV (MSA) #> 394 Constant GDP per capita for the United States #> 395 Current Price Gross Domestic Product in India #> 396 Gross private domestic investment: Domestic business #> 397 Shares of gross domestic product: Government consumption expenditures and gross investment #> 398 Personal consumption expenditures per capita #> 399 Total Current Account Balance for the United States (DISCONTINUED) #> 400 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Original series for the Euro Area #> 401 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 402 Corporate business: Profits before tax (without IVA and CCAdj) #> 403 Real Gross Domestic Product at Market Prices in the United Kingdom #> 404 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 405 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 406 Real Gross Domestic Product at Market Prices in the United Kingdom #> 407 Total Gross Domestic Product for Los Angeles-Long Beach-Anaheim, CA (MSA) #> 408 Real GDP at Constant National Prices for Mexico #> 409 Stock Market Total Value Traded to GDP for United States #> 410 Constant GDP per capita for Italy #> 411 Total Gross Domestic Product for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) #> 412 Total Gross Domestic Product for Alabama #> 413 Total Gross Domestic Product for Michigan #> 414 Real GDP in the Republic of Korea (South Korea) (DISCONTINUED) #> 415 Gross Domestic Product: Chain-type Price Index #> 416 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 417 Personal consumption expenditures: Services: Health care #> 418 Personal consumption expenditures per capita #> 419 Real Gross Domestic Product at Market Prices in the United Kingdom #> 420 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 421 Real Gross Domestic Product at Market Prices in the United Kingdom #> 422 Current Price Gross Domestic Product in India #> 423 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 424 Gross private domestic investment: Domestic business #> 425 Total Current Account Balance for the United States (DISCONTINUED) #> 426 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 427 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 428 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 429 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Indonesia #> 430 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 431 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Japan #> 432 Total Gross Domestic Product for Hawaii #> 433 Real GDP at Constant National Prices for Japan #> 434 Federal government total expenditures #> 435 Real Gross Domestic Product for Norway #> 436 Personal consumption expenditures excluding food and energy #> 437 Real Gross Domestic Product for Netherlands #> 438 Personal current transfer receipts: Government social benefits to persons: Unemployment insurance #> 439 Personal consumption expenditures excluding food and energy #> 440 Personal consumption expenditures: Services: Health care #> 441 Personal current transfer receipts: Government social benefits to persons: Unemployment insurance #> 442 Real Gross Domestic Product for Netherlands #> 443 Total Gross Domestic Product for Dallas-Fort Worth-Arlington, TX (MSA) #> 444 Total Gross Domestic Product for Illinois #> 445 Stock Market Capitalization to GDP for India #> 446 Net corporate dividend payments #> 447 Value Added by Private Industries: Retail Trade as a Percentage of GDP #> 448 Total Gross Domestic Product for Arizona #> 449 General government gross debt for Japan #> 450 State and local government current tax receipts #> 451 Gross Domestic Product: Research and Development #> 452 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 453 Balance of Payments: Total Net Current Account for China, P.R.: Mainland #> 454 Federal government total expenditures #> 455 Real Gross Domestic Product for Norway #> 456 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 457 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 458 Constant GDP per capita for India #> 459 Personal Consumption Expenditures: Chain-type Price Index Less Food and Energy #> 460 Value Added by Private Industries: Finance, Insurance, Real Estate, Rental, and Leasing: Finance and Insurance as a Percentage of GDP #> 461 Federal Debt Held by Foreign and International Investors as Percent of Gross Domestic Product #> 462 Total Gross Domestic Product for Colorado #> 463 Total Gross Domestic Product for the District of Columbia #> 464 Real GDP at Constant National Prices for Brazil #> 465 Total Gross Domestic Product for Alaska #> 466 Total Gross Domestic Product for Atlanta-Sandy Springs-Roswell, GA (MSA) #> 467 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 468 Gross Domestic Product for Brazil #> 469 Current Price Gross Domestic Product in Russian Federation #> 470 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 471 Gross Domestic Product: Research and Development #> 472 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 473 State and local government current tax receipts #> 474 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 475 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 476 State and local government current tax receipts #> 477 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Germany #> 478 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 479 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 480 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 481 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 482 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 483 Government social benefits: to persons: Federal: Supplemental Nutrition Assistance Program (SNAP) #> 484 Gross domestic product (implicit price deflator) #> 485 Constant GDP per capita for the United Kingdom #> 486 Real GDP at Constant National Prices for Malaysia #> 487 Constant GDP per capita for Germany #> 488 Real GDP at Constant National Prices for Province of China Taiwan #> 489 Gross Domestic Product for Malaysia #> 490 Total Gross Domestic Product for Tennessee #> 491 General government gross debt for Germany #> 492 State and Local Government Current Expenditures #> 493 Personal consumption expenditures: Durable goods: Furnishings and durable household equipment #> 494 General government gross debt for Argentina #> 495 Current Price Gross Domestic Product in Brazil #> 496 Gross Domestic Product for Brazil #> 497 Current Price Gross Domestic Product in Russian Federation #> 498 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 499 Exports: Value Goods for the Republic of Korea #> 500 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 501 Exports: Value Goods for the Republic of Korea #> 502 Government current expenditures: Education #> 503 Total Gross Domestic Product for New York-Newark-Jersey City, NY-NJ-PA (MSA) #> 504 Household Debt to GDP for Republic of Korea #> 505 Constant GDP per capita for Canada #> 506 Total Gross Domestic Product for Houston-The Woodlands-Sugar Land, TX (MSA) #> 507 Government current transfer payments #> 508 Gross Domestic Product for World (DISCONTINUED) #> 509 Central government debt, total (% of GDP) for China #> 510 Stock Market Capitalization to GDP for Japan #> 511 FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Median #> 512 Gross Domestic Product for Viet Nam #> 513 Automobile output: Net purchases of used autos #> 514 Gross Domestic Product for Sweden #> 515 Disposable personal income: Per capita #> 516 Current Price Gross Domestic Product in Brazil #> 517 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 518 State and local government current expenditures #> 519 Personal consumption expenditures: Durable goods: Furnishings and durable household equipment #> 520 General Government Gross Debt for Argentina #> 521 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 522 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 523 State and Local Government Current Expenditures #> 524 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the United Kingdom #> 525 Total Gross Domestic Product for Wisconsin #> 526 Central government debt, total (% of GDP) for the United States #> 527 Nonfinancial corporate business: Profits before tax (without IVA and CCAdj) #> 528 Total Gross Domestic Product for Minnesota #> 529 Household saving #> 530 Total Gross Domestic Product for Mississippi #> 531 Corporate Net Cash Flow with IVA #> 532 Gross Federal Debt Held by the Public as Percent of Gross Domestic Product #> 533 Real GDP at Constant National Prices for Russian Federation #> 534 Total Gross Domestic Product for North Carolina #> 535 Automobile output: Net purchases of used autos #> 536 Real Gross Domestic Product for Finland #> 537 Contributions to percent change in real gross domestic product: Personal consumption expenditures #> 538 Real Gross Domestic Product for Euro area (19 countries) #> 539 Current Price Gross Domestic Product in Turkey #> 540 Gross Domestic Product for Sweden #> 541 Disposable personal income: Per capita #> 542 Current Price Gross Domestic Product in Canada #> 543 Household Debt to GDP for Republic of Korea #> 544 Gross Domestic Product for Sweden #> 545 Total Credit to Households and Non-Profit Institutions Serving Households, Adjusted for Breaks, for United States #> 546 Government current transfer payments #> 547 Current Price Gross Domestic Product in Canada #> 548 Total Gross Domestic Product for Georgia #> 549 Total Gross Domestic Product for Massachusetts #> 550 Gross Domestic Product for Argentina #> 551 Total Gross Domestic Product for New Jersey #> 552 Real GDP at Constant National Prices for Philippines #> 553 Shares of gross domestic product: Gross private domestic investment: Fixed investment: Residential #> 554 Gross Domestic Product for Singapore #> 555 Total Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) #> 556 Total Gross Domestic Product for Austin-Round Rock, TX (MSA) #> 557 Shares of gross domestic product: Exports of goods and services #> 558 Real Gross Domestic Product for Denmark #> 559 Gross Domestic Product for Mexico #> 560 Real Gross Domestic Product for Poland #> 561 General government gross debt for Canada #> 562 Current Price Gross Domestic Product in South Africa #> 563 Real personal consumption expenditures (chain-type quantity index) #> 564 Real Gross Domestic Product for Finland #> 565 Real personal consumption expenditures (chain-type quantity index) #> 566 Contributions to percent change in real gross domestic product: Personal consumption expenditures #> 567 Real Gross Domestic Product for Euro area (19 countries) #> 568 Current Price Gross Domestic Product in Turkey #> 569 Gross Domestic Product for Spain #> 570 Nonfinancial corporate business: Profits before tax (without IVA and CCAdj) #> 571 Gross Domestic Product for Switzerland #> 572 Gross Domestic Product for Switzerland #> 573 Gross Domestic Product for Spain #> 574 Total Gross Domestic Product for Nashville-Davidson--Murfreesboro--Franklin, TN (MSA) #> 575 Net private saving: Households and institutions #> 576 Total Gross Domestic Product for New Orleans-Metairie, LA (MSA) #> 577 Total Gross Domestic Product by Industry for Texas #> 578 Gross Domestic Product for Pakistan #> 579 Personal consumption expenditures: Clothing, footwear, and related services #> 580 Total Gross Domestic Product for Louisiana #> 581 Total Gross Domestic Product for Connecticut #> 582 Gross Domestic Product for Egypt #> 583 Constant GDP per capita for the World #> 584 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Trend for the United States #> 585 Gross Domestic Product for Thailand #> 586 General Government Gross Debt for Canada #> 587 Gross Domestic Product for Spain #> 588 Current Price Gross Domestic Product in South Africa #> 589 Gross national product (chain-type price index) #> 590 Gross Domestic Product for European Union (27 countries from 2020) #> 591 Gross Domestic Product for Mexico #> 592 Real Gross Domestic Product for Poland #> 593 Gross Domestic Product for Argentina #> 594 Shares of gross domestic product: Exports of goods and services #> 595 Real Gross Domestic Product for Denmark #> 596 Gross Domestic Product for Switzerland #> 597 Gross Domestic Product for Switzerland #> 598 Shares of gross domestic product: Gross private domestic investment: Fixed investment: Residential #> 599 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 600 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 601 Gross Domestic Product for European Union (27 countries from 2020) #> 602 Real GDP at Constant National Prices for Singapore #> 603 Constant GDP per capita for Mexico #> 604 Total Gross Domestic Product for New Mexico #> 605 Compensation of Employees: Wages and Salary Accruals #> 606 Real Gross Domestic Product for Portugal #> 607 Non-Bank Financial Institutions' Assets to GDP for United States #> 608 Ratio of GNP to GDP for United States #> 609 Real Gross Domestic Product for South Africa #> 610 General government net lending/borrowing for United States #> 611 Gross saving as a percentage of gross national income #> 612 Gross government investment #> 613 Gross National Product (chain-type price index) #> 614 Balance of Payments: Total Net Current Account for Japan #> 615 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 616 Gross Domestic Product for Greece #> 617 Net private saving: Households and institutions #> 618 Gross National Product (chain-type price index) #> 619 Real Private Fixed Investment #> 620 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 621 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 622 Gross domestic product (GDP); statistical discrepancy (calculated from components) (IMA), Flow (DISCONTINUED) #> 623 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 624 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 625 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 626 Gross Domestic Product for Greece #> 627 Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for Japan #> 628 Real Private Fixed Investment #> 629 Total Gross Domestic Product for United States Metropolitan Portion #> 630 Real Gross Domestic Product for Austria #> 631 Federal government current tax receipts: Personal current taxes #> 632 Leading Indicators OECD: Reference series: Gross Domestic Product (GDP): Normalised for Germany #> 633 Central Bank Assets to GDP for Japan #> 634 Total Gross Domestic Product for Missouri #> 635 Total Gross Domestic Product for Phoenix-Mesa-Scottsdale, AZ (MSA) #> 636 Corporate Profits after tax with IVA and CCAdj: Net Dividends #> 637 Federal Debt Held by Federal Reserve Banks as Percent of Gross Domestic Product #> 638 Government current expenditures: Income security: Welfare and social services #> 639 Remittance Inflows to GDP for Ethiopia #> 640 Total Gross Domestic Product for Boston-Cambridge-Newton, MA-NH (MSA) #> 641 Government current expenditures: State and local: Public order and safety: Police #> 642 Total Gross Domestic Product for Indiana #> 643 Total Gross Domestic Product by Industry for New York #> 644 World Uncertainty Index: Global: GDP Weighted Average #> 645 Stock Market Capitalization to GDP for United Kingdom #> 646 Real GDP at Constant National Prices for Bolivarian Republic of Venezuela #> 647 Real GDP at Constant National Prices for Turkey #> 648 Gross government investment #> 649 Gross Domestic Product for Greece #> 650 Current Price Gross Domestic Product in Indonesia #> 651 Gross saving as a percentage of gross national income #> 652 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 653 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 654 Real Gross Domestic Product by Industry: Private Industries: Manufacturing for United States #> 655 National Income #> 656 Real Private Fixed Investment #> 657 Real Private Fixed Investment #> 658 Real Private Fixed Investment #> 659 Real Gross Domestic Product for Portugal #> 660 General Government Net Lending/Borrowing for United States #> 661 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 662 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for Italy #> 663 Current Price Gross Domestic Product in Korea #> 664 Personal current transfer receipts #> 665 Current Price Gross Domestic Product in Korea #> 666 National income #> 667 Real Gross Domestic Product by Industry: Private Industries: Manufacturing for United States #> 668 Personal current transfer receipts: Government social benefits to persons #> 669 Real GDP at Constant National Prices for Indonesia #> 670 Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, Midpoint #> 671 Total Gross Domestic Product for West Virginia #> 672 Total Gross Domestic Product for Pittsburgh, PA (MSA) #> 673 Value Added by Private Industries: Construction as a Percentage of GDP #> 674 Total Gross Domestic Product for San Antonio-New Braunfels, TX (MSA) #> 675 Constant Price Gross Domestic Product in India #> 676 Real Gross Domestic Product (Euro/ECU series) for European Union (28 countries) #> 677 Real GDP at Constant National Prices for Argentina #> 678 National income: Compensation of employees #> 679 Constant GDP per capita for the Russian Federation #> 680 Total Gross Domestic Product for Oregon #> 681 Total Gross Domestic Product for Tampa-St. Petersburg-Clearwater, FL (MSA) #> 682 Real GDP at Constant National Prices for United States #> 683 General government gross debt for Italy #> 684 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 685 Change in Private Inventories #> 686 Federal government current tax receipts: Taxes on production and imports: Customs duties #> 687 Real Gross Domestic Product for Austria #> 688 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products: Research and Development #> 689 Current Price Gross Domestic Product in Indonesia #> 690 Federal government current tax receipts: Personal current taxes #> 691 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 692 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 693 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 694 Federal government current tax receipts: Personal current taxes #> 695 Personal current transfer receipts #> 696 Personal current transfer receipts: Government social benefits to persons #> 697 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for New Zealand #> 698 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for China #> 699 Federal government expenditures: Budget outlays #> 700 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 701 Gross Domestic Product for Ireland #> 702 Gross Domestic Product for Ireland #> 703 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for China #> 704 Federal government expenditures: Budget outlays #> 705 Gross Domestic Product for Ireland #> 706 Real Gross Domestic Product for Belgium #> 707 Contributions to percent change in GDPNow: Real Gross Private Domestic Investment: Fixed Investment: Business: Equipment #> 708 Central Bank Assets to GDP for China #> 709 Total Gross Domestic Product for South Dakota #> 710 Real GDP per Capita in the Republic of Korea (South Korea) (DISCONTINUED) #> 711 Total Gross Domestic Product for Utah #> 712 Total Gross Domestic Product for Detroit-Warren-Dearborn, MI (MSA) #> 713 Household Debt to GDP for Germany #> 714 Total Gross Domestic Product for Nevada #> 715 Total Gross Domestic Product for Kansas #> 716 Stock Market Capitalization to GDP for Germany #> 717 Total Gross Domestic Product for San Jose-Sunnyvale-Santa Clara, CA (MSA) #> 718 Real GDP at Constant National Prices for Pakistan #> 719 Personal current transfer receipts: Government social benefits to persons: Social security #> 720 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 721 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 722 Real Gross Domestic Product for European Union (28 countries) #> 723 Change in private inventories #> 724 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products: Research and Development #> 725 Personal current transfer receipts: Government social benefits to persons: Social security #> 726 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 727 Change in Private Inventories #> 728 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for China #> 729 Constant Price Gross Domestic Product in India #> 730 Real Gross Domestic Product (Euro/ECU series) for European Union (28 countries) #> 731 Federal government current tax receipts: Taxes on production and imports: Customs duties #> 732 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 733 Consumption of Fixed Capital #> 734 Exports: Value Goods for Japan #> 735 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 736 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 737 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for Canada #> 738 Exports: Value Goods for Japan #> 739 Personal income receipts on assets: Personal dividend income #> 740 Central Bank Assets to GDP for Canada #> 741 Disposable household income #> 742 Total Gross Domestic Product for Maryland #> 743 Constant GDP per capita for the Islamic Republic of Iran #> 744 Total Gross Domestic Product for Iowa #> 745 Net farm income, USDA #> 746 Gross Domestic Product for Australia #> 747 Total Gross Domestic Product for Orlando-Kissimmee-Sanford, FL (MSA) #> 748 Total Gross Domestic Product for San Diego-Carlsbad, CA (MSA) #> 749 Gap, IRS less BEA gross output of nonprofit institutions and current transfer payments #> 750 Constant GDP per capita for Australia #> 751 Hodrick-Prescott (HP) Filtered Log of Real Gross Domestic Product at Factor Cost in the United Kingdom #> 752 Total Gross Domestic Product for Portland-Vancouver-Hillsboro, OR-WA (MSA) #> 753 Constant GDP per capita for the Bolivarian Republic of Venezuela #> 754 Gross Domestic Product for Turkey #> 755 Total Gross Domestic Product for North Dakota #> 756 Constant GDP per capita for Chile #> 757 Total External Debt for Saudi Arabia #> 758 Household Debt to GDP for Italy #> 759 General government gross debt for Brazil #> 760 Real Gross Domestic Product for Belgium #> 761 Household Debt to GDP for Germany #> 762 Real federal government consumption expenditures: Defense consumption expenditures: Gross output of general government: Intermediate goods and services purchased: Services (chain-type quantity index) #> 763 Consumption of Fixed Capital #> 764 Personal income receipts on assets: Personal dividend income #> 765 Real Gross Domestic Product for European Union (28 countries) #> 766 Gross Domestic Product for Finland #> 767 Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for Euro Area #> 768 Balance of Payments: Total Net Current Account for Vietnam #> 769 Gross Domestic Product for Finland #> 770 Personal current taxes #> 771 Real federal government consumption expenditures: Defense consumption expenditures: Gross output of general government: Intermediate goods and services purchased: Services (chain-type quantity index) #> 772 General Government Gross Debt for Brazil #> 773 Total Gross Domestic Product for Virginia #> 774 Contributions to percent change in real gross domestic product: Net exports of goods and services #> 775 Total Gross Domestic Product for Wyoming #> 776 Gross Domestic Product Per Capita for China #> 777 Central government debt, total (% of GDP) for Canada #> 778 Real GDP Per Capita for South Africa #> 779 Total Gross Domestic Product for Kentucky #> 780 Gross Domestic Product Per Capita for Japan #> 781 Constant GDP per capita for Argentina #> 782 National income: Compensation of employees: Wages and salaries #> 783 Total Gross Domestic Product for Memphis, TN-MS-AR (MSA) #> 784 Gross Domestic Product for Ethiopia #> 785 General Government Revenue for United States #> 786 Household Debt to GDP for Italy #> 787 Real Government Consumption Expenditures #> 788 Personal consumption expenditures: Durable goods: Motor vehicles and parts #> 789 Profit per unit of real gross value added of nonfinancial corporate business: Corporate profits after tax with IVA and CCAdj (unit profits from current production) #> 790 Personal current taxes #> 791 Gross Domestic Product for Finland #> 792 Gross Domestic Product for United States #> 793 Shares of gross domestic product: Gross private domestic investment: Fixed investment: Nonresidential #> 794 Real Gross Domestic Product for Czech Republic #> 795 Real Final Sales of Domestic Product #> 796 Current Price Gross Domestic Product in Germany #> 797 Nonfinancial Corporate Business: Profits After Tax (without IVA and CCAdj) #> 798 Nonfinancial corporate business: Profits after tax (without IVA and CCAdj) #> 799 Current Price Gross Domestic Product in Germany #> 800 Real Gross Domestic Product for Czech Republic #> 801 Personal consumption expenditures: Goods #> 802 Real Final Sales of Domestic Product #> 803 Shares of gross domestic product: Gross private domestic investment: Fixed investment: Nonresidential #> 804 Real Final Sales of Domestic Product #> 805 Real Final Sales of Domestic Product #> 806 Contributions to percent change in real gross domestic product: Net exports of goods and services #> 807 Personal consumption expenditures: Durable goods: Motor vehicles and parts #> 808 Personal consumption expenditures: Goods #> 809 Gross Domestic Product for United States #> 810 Personal interest payments #> 811 Real Government Consumption Expenditures #> 812 Personal Consumption Expenditures: Goods #> 813 Profit per unit of real gross value added of nonfinancial corporate business: Corporate profits after tax with IVA and CCAdj (unit profits from current production) #> 814 Non-Oil Real GDP Growth in Constant Prices for Saudi Arabia #> 815 Total Gross Domestic Product for Minneapolis-St. Paul-Bloomington, MN-WI (MSA) #> 816 Central government debt, total (% of GDP) for Greece #> 817 Total Gross Domestic Product for Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) #> 818 Total Gross Domestic Product for Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) #> 819 Stock Market Capitalization to GDP for Canada #> 820 Real personal consumption expenditures per capita: Goods: Nondurable goods #> 821 Central government debt, total (% of GDP) for the United Kingdom #> 822 Gross Domestic Product for Saudi Arabia #> 823 Total Gross Domestic Product for Oklahoma #> 824 Total Gross Domestic Product for Maine #> 825 Private fixed investment in information processing equipment and software #> 826 Remittance Inflows to GDP for Philippines #> 827 Balance of Payments for United States #> 828 Total External Debt for Iraq #> 829 Real Final Sales of Domestic Product #> 830 Real Government Consumption Expenditures #> 831 Real Government Consumption Expenditures #> 832 Personal Consumption Expenditures: Goods #> 833 Personal interest payments #> 834 Constant Price Gross Domestic Product in Canada #> 835 Gross domestic investment #> 836 Personal consumption expenditures: Services: Housing and utilities #> 837 Real Gross Domestic Product for Iceland #> 838 General government gross debt for Mexico #> 839 Real Gross Domestic Product for European Union (15 countries) #> 840 Real Gross Domestic Product for European Union (15 countries) #> 841 Real Gross Domestic Product for Iceland #> 842 Real personal consumption expenditures: Goods #> 843 Real Personal Consumption Expenditures: Goods #> 844 Gross domestic investment #> 845 General Government Gross Debt for Mexico #> 846 Constant Price Gross Domestic Product in Canada #> 847 Personal consumption expenditures: Services: Housing and utilities #> 848 Real Personal Consumption Expenditures: Goods #> 849 Real Personal Consumption Expenditures: Goods #> 850 Real personal consumption expenditures: Goods #> 851 Real Personal Consumption Expenditures: Goods #> 852 Real Personal Consumption Expenditures: Goods #> 853 Real Personal Consumption Expenditures: Goods #> 854 Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj) #> 855 Household Debt to GDP for United Kingdom #> 856 Corporate profits: Profits before taxes, NIPAs #> 857 Total Gross Domestic Product by Industry for Florida #> 858 Central government debt, total (% of GDP) for Switzerland #> 859 Total Gross Domestic Product for Columbus, OH (MSA) #> 860 Real GDP per Employed Person in the United States (DISCONTINUED) #> 861 Real Total Gross Domestic Product for Texas #> 862 Real GDP at Constant National Prices for Viet Nam #> 863 Stock Market Capitalization to GDP for Brazil #> 864 Gross Domestic Product for United Arab Emirates #> 865 Contributions to Percent Change in Real GDP by Government #> 866 Total Gross Domestic Product for Cincinnati, OH-KY-IN (MSA) #> 867 Constant GDP per capita for France #> 868 Purchasing Power Parity Converted GDP Per Capita (Chain Series) for Taiwan #> 869 Total Gross Domestic Product for Montana #> 870 Stock Market Capitalization to GDP for Russian Federation #> 871 Total Gross Domestic Product for St. Louis, MO-IL (MSA) #> 872 Total Gross Domestic Product for South Carolina #> 873 Household Debt to GDP for Australia #> 874 Real Total Gross Domestic Product for New York #> 875 Total Real Gross Domestic Product for Cleveland-Elyria, OH (MSA) #> 876 Total Gross Domestic Product for Denver-Aurora-Lakewood, CO (MSA) #> 877 Pension Fund Assets to GDP for United States #> 878 Central government debt, total (% of GDP) for the European Union #> 879 Constant Price Gross Domestic Product in China #> 880 Exports: Value Goods for the United States #> 881 Exports: Value Goods for the United States #> 882 Total External Debt for United Arab Emirates #> 883 Contributions to percent change in real gross domestic product: Gross private domestic investment: Change in private inventories #> 884 Gross value added of nonfinancial corporate business #> 885 Personal consumption expenditures: Services: Health care (chain-type price index) #> 886 Net private saving #> 887 Net domestic investment #> 888 Shares of Gross Domestic Product: Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products #> 889 General government gross debt for United States #> 890 Gross Domestic Product for Poland #> 891 Gross Domestic Product for Norway #> 892 Real gross private domestic investment: Fixed investment: Nonresidential: Structures #> 893 Velocity of M2 Money Stock #> 894 Gross Domestic Product for Norway #> 895 Contributions to percent change in real gross domestic product: Gross private domestic investment: Change in private inventories #> 896 Gross Domestic Product for Poland #> 897 Gross Domestic Product for Poland #> 898 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 899 General Government Gross Debt for United States #> 900 Exports: Value Goods for Germany #> 901 Gross Domestic Product for Norway #> 902 Gross value added of nonfinancial corporate business #> 903 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 904 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 905 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 906 Personal consumption expenditures: Services: Health care (chain-type price index) #> 907 Net private saving #> 908 Net domestic investment #> 909 Exports: Value Goods for Germany #> 910 Proprietors' Income with Inventory Valuation Adjustment(IVA) and Capital Consumption Adjustment (CCAdj) #> 911 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 912 Real Gross Private Domestic Investment: Fixed Investment: Nonresidential: Structures #> 913 Shares of Gross Domestic Product: Gross Private Domestic Investment: Fixed Investment: Nonresidential: Intellectual Property Products #> 914 Real GDP at Constant National Prices for Australia #> 915 Total Gross Domestic Product for Arkansas #> 916 Net Federal Government Saving #> 917 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 918 Purchasing Power Parity over GDP for Taiwan #> 919 Remittance Inflows to GDP for Bangladesh #> 920 Gross Domestic Product by Industry: Government: State and Local for Wyoming #> 921 Real GDP at Constant National Prices for Israel #> 922 Remittance Inflows to GDP for Nepal #> 923 Gross Domestic Product: All Industries in Orange County, CA #> 924 Central government debt, total (% of GDP) for Italy #> 925 Real GDP Per Capita for Nigeria #> 926 Constant GDP per capita for Spain #> 927 Gross Domestic Product for Russian Federation #> 928 Gross Domestic Product Deflator for the Euro Area #> 929 Outstanding Domestic Private Debt Securities to GDP for China #> 930 Total Gross Domestic Product for Kansas City, MO-KS (MSA) #> 931 Real GDP in Germany (DISCONTINUED) #> 932 General government gross debt for Australia #> 933 General government net lending/borrowing for Germany #> 934 Net private saving: Domestic business: Undistributed corporate profits #> 935 Gross Domestic Product for Colombia #> 936 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 937 Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for Italy #> 938 Personal consumption expenditures: Durable goods (chain-type price index) #> 939 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 940 Gross Domestic Product for Colombia #> 941 Exports: Value Goods for the Russian Federation #> 942 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 943 Exports: Value Goods for the Russian Federation #> 944 Net Federal Government Saving #> 945 Net private saving: Domestic business: Undistributed corporate profits #> 946 Personal consumption expenditures: Durable goods (chain-type price index) #> 947 Net Federal Government Saving #> 948 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 949 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 950 Gross Private Domestic Investment: Fixed Investment: Nonresidential: Equipment #> 951 Gross Domestic Product Deflator for the Euro Area #> 952 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 953 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 954 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for France #> 955 Exports: Value Goods for Canada #> 956 Exports: Value Goods for Canada #> 957 Central government debt, total (% of GDP) for Indonesia #> 958 Total Gross Domestic Product for Raleigh, NC (MSA) #> 959 Gross Domestic Product for Hong Kong #> 960 Purchasing Power Parity over GDP for China #> 961 Gross domestic product: Terms of trade index #> 962 Real GDP per Capita in Germany (DISCONTINUED) #> 963 Constant GDP per capita for Malaysia #> 964 Gross value added: GDP: Business: Farm #> 965 Value Added by Private Industries: Agriculture, Forestry, Fishing, and Hunting as a Percentage of GDP #> 966 Purchasing Power Parity Converted GDP Per Capita (Chain Series) for United States #> 967 Total Gross Domestic Product for Salt Lake City, UT (MSA) #> 968 Liquid Liabilities to GDP for World (DISCONTINUED) #> 969 Full-time equivalent employees: State and local government #> 970 Constant GDP per capita for the Philippines #> 971 Real GDP at Constant National Prices for Saudi Arabia #> 972 Share of Labour Compensation in GDP at Current National Prices for China #> 973 Constant GDP per capita for Brazil #> 974 Constant GDP per capita for Switzerland #> 975 Real GDP at Constant National Prices for Thailand #> 976 General government gross debt for Greece #> 977 Balance of Payments for Mexico #> 978 General Government Total Expenditure for Canada #> 979 Ratio of GNP to GDP for China #> 980 Federal government current expenditures: Subsidies #> 981 Constant Price Gross Domestic Product in Indonesia #> 982 Public Sector Debt Outstanding in the United Kingdom #> 983 Gross Domestic Product for Netherlands #> 984 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for India #> 985 Gross Domestic Product by Expenditure in Constant Prices: Gross Fixed Capital Formation for the United States #> 986 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Euro Area #> 987 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for South Africa #> 988 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for South Africa #> 989 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for South Africa #> 990 Gross Domestic Product for Netherlands #> 991 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Euro Area #> 992 Ratio of GNP to GDP for China #> 993 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Euro Area #> 994 Gross Domestic Product by Expenditure in Constant Prices: Gross Fixed Capital Formation for the United States #> 995 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for South Africa #> 996 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for India #> 997 Gross Domestic Product by Expenditure in Constant Prices: Private Final Consumption Expenditure for India #> 998 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for the Euro Area #> 999 Gross Domestic Product by Expenditure in Constant Prices: Total Gross Domestic Product for South Africa #> 1000 Gross Domestic Product for Netherlands #> observation_start observation_end frequency #> 1 1947-01-01 2020-07-01 Quarterly #> 2 1947-04-01 2020-07-01 Quarterly #> 3 1929-01-01 2019-01-01 Annual #> 4 1948-01-01 2020-07-01 Quarterly #> 5 1930-01-01 2019-01-01 Annual #> 6 2002-01-01 2020-07-01 Quarterly #> 7 2003-01-01 2020-07-01 Quarterly #> 8 2002-01-01 2020-07-01 Quarterly #> 9 1947-01-01 2020-07-01 Quarterly #> 10 1929-01-01 2019-01-01 Annual #> 11 1947-04-01 2020-07-01 Quarterly #> 12 1947-01-01 2020-07-01 Quarterly #> 13 1930-06-30 2019-09-30 Annual, Fiscal Year #> 14 1930-01-01 2019-01-01 Annual #> 15 2002-01-01 2020-07-01 Quarterly #> 16 1966-01-01 2020-07-01 Quarterly #> 17 1947-01-01 2020-07-01 Quarterly #> 18 1929-01-01 2019-01-01 Annual #> 19 1947-01-01 2020-07-01 Quarterly #> 20 2002-01-01 2020-07-01 Quarterly #> 21 1947-01-01 2020-07-01 Quarterly #> 22 1947-01-01 2020-07-01 Quarterly #> 23 1947-04-01 2020-07-01 Quarterly #> 24 1947-04-01 2020-07-01 Quarterly #> 25 1947-01-01 2020-07-01 Quarterly #> 26 1930-01-01 2019-01-01 Annual #> 27 1929-01-01 2019-01-01 Annual #> 28 1948-01-01 2020-07-01 Quarterly #> 29 1930-01-01 2019-01-01 Annual #> 30 1949-01-01 2030-10-01 Quarterly #> 31 2002-01-01 2020-07-01 Quarterly #> 32 2002-01-01 2020-07-01 Quarterly #> 33 2003-01-01 2020-07-01 Quarterly #> 34 1960-01-01 2020-07-01 Quarterly #> 35 1947-01-01 2020-07-01 Quarterly #> 36 1996-01-01 2017-01-01 Annual #> 37 1929-01-01 2019-01-01 Annual #> 38 1929-01-01 2019-01-01 Annual #> 39 1947-04-01 2020-07-01 Quarterly #> 40 1948-01-01 2020-07-01 Quarterly #> 41 1929-01-01 2019-01-01 Annual #> 42 1947-01-01 2020-07-01 Quarterly #> 43 1930-01-01 2019-01-01 Annual #> 44 1947-01-01 2020-07-01 Quarterly #> 45 2005-01-01 2020-04-01 Quarterly #> 46 1947-01-01 2020-07-01 Quarterly #> 47 1947-01-01 2020-07-01 Quarterly #> 48 1929-01-01 2019-01-01 Annual #> 49 1929-01-01 2019-01-01 Annual #> 50 1930-06-30 2019-09-30 Annual, Fiscal Year #> 51 1947-04-01 2020-07-01 Quarterly #> 52 1929-01-01 2019-01-01 Annual #> 53 1948-01-01 2020-07-01 Quarterly #> 54 1930-01-01 2019-01-01 Annual #> 55 2002-01-01 2020-07-01 Quarterly #> 56 2002-01-01 2020-07-01 Quarterly #> 57 2003-01-01 2020-07-01 Quarterly #> 58 1947-01-01 2020-07-01 Quarterly #> 59 1947-01-01 2020-07-01 Quarterly #> 60 1947-01-01 2020-07-01 Quarterly #> 61 1960-01-01 2019-01-01 Annual #> 62 1929-01-01 2019-01-01 Annual #> 63 1960-01-01 2020-07-01 Quarterly #> 64 1929-01-01 2019-01-01 Annual #> 65 1929-01-01 2019-01-01 Annual #> 66 1947-01-01 2020-07-01 Quarterly #> 67 1947-01-01 2020-07-01 Quarterly #> 68 1947-01-01 2020-07-01 Quarterly #> 69 1929-01-01 2019-01-01 Annual #> 70 1994-01-01 2020-07-01 Quarterly #> 71 1947-01-01 2020-07-01 Quarterly #> 72 1975-01-01 2020-07-01 Quarterly #> 73 2002-01-01 2020-07-01 Quarterly #> 74 1947-01-01 2020-07-01 Quarterly #> 75 1929-01-01 2019-01-01 Annual #> 76 2005-04-01 2020-04-01 Quarterly #> 77 1940-01-01 2019-01-01 Annual #> 78 1960-01-01 2019-01-01 Annual #> 79 1929-01-01 2019-01-01 Annual #> 80 1947-01-01 2020-07-01 Quarterly #> 81 1995-01-01 2020-07-01 Quarterly #> 82 1930-01-01 2019-01-01 Annual #> 83 1947-04-01 2020-07-01 Quarterly #> 84 1929-01-01 2019-01-01 Annual #> 85 1975-01-01 2014-10-01 Quarterly #> 86 1947-01-01 2020-07-01 Quarterly #> 87 1967-10-01 2020-04-01 Quarterly #> 88 1991-01-01 2020-07-01 Quarterly #> 89 2011-07-01 2020-10-01 Quarterly #> 90 1947-01-01 2020-07-01 Quarterly #> 91 1994-01-01 2020-07-01 Quarterly #> 92 1947-01-01 2020-07-01 Quarterly #> 93 1961-01-01 2020-07-01 Quarterly #> 94 1929-01-01 2019-01-01 Annual #> 95 2013-04-01 2020-10-01 Quarterly #> 96 1960-01-01 2020-08-01 Monthly #> 97 1929-01-01 2019-01-01 Annual #> 98 1947-01-01 2020-07-01 Quarterly #> 99 1929-01-01 2019-01-01 Annual #> 100 1960-01-01 2019-01-01 Annual #> 101 1947-04-01 2020-07-01 Quarterly #> 102 2002-01-01 2020-07-01 Quarterly #> 103 1947-04-01 2020-07-01 Quarterly #> 104 1961-04-01 2020-07-01 Quarterly #> 105 1947-01-01 2020-07-01 Quarterly #> 106 2002-01-01 2020-07-01 Quarterly #> 107 2002-01-01 2020-07-01 Quarterly #> 108 1948-01-01 2020-07-01 Quarterly #> 109 1930-01-01 2019-01-01 Annual #> 110 1930-01-01 2019-01-01 Annual #> 111 1947-01-01 2020-07-01 Quarterly #> 112 2020-01-01 2023-01-01 Annual #> 113 1939-01-01 2019-01-01 Annual #> 114 1992-01-01 2020-07-01 Quarterly #> 115 2003-01-01 2020-07-01 Quarterly #> 116 1961-01-01 2020-07-01 Quarterly #> 117 1991-01-01 2020-07-01 Quarterly #> 118 1962-01-01 2019-01-01 Annual #> 119 1961-01-01 2019-01-01 Annual #> 120 1961-01-01 2019-01-01 Annual #> 121 1947-01-01 2020-07-01 Quarterly #> 122 1947-01-01 2020-07-01 Quarterly #> 123 1929-01-01 2019-01-01 Annual #> 124 1947-01-01 2020-07-01 Quarterly #> 125 2002-01-01 2020-07-01 Quarterly #> 126 1947-01-01 2020-07-01 Quarterly #> 127 1947-01-01 2020-07-01 Quarterly #> 128 1952-01-01 2020-04-01 Quarterly, End of Quarter #> 129 1947-01-01 2020-07-01 Quarterly #> 130 1992-01-01 2019-01-01 Annual #> 131 1947-01-01 2020-07-01 Quarterly #> 132 1929-01-01 2019-01-01 Annual #> 133 1939-01-01 2020-11-01 Monthly #> 134 1960-01-01 2020-07-01 Quarterly #> 135 1929-01-01 2019-01-01 Annual #> 136 1997-01-01 2019-01-01 Annual #> 137 1952-01-01 2017-01-01 Annual #> 138 1995-01-01 2020-07-01 Quarterly #> 139 1947-01-01 2020-07-01 Quarterly #> 140 1929-01-01 2019-01-01 Annual #> 141 1929-01-01 2019-01-01 Annual #> 142 1929-01-01 2019-01-01 Annual #> 143 1947-04-01 2020-07-01 Quarterly #> 144 1947-01-01 2020-07-01 Quarterly #> 145 1929-01-01 2019-01-01 Annual #> 146 1947-01-01 2020-07-01 Quarterly #> 147 1929-01-01 2019-01-01 Annual #> 148 1947-01-01 2020-07-01 Quarterly #> 149 1947-01-01 2020-07-01 Quarterly #> 150 1948-01-01 2020-07-01 Quarterly #> 151 2002-01-01 2020-07-01 Quarterly #> 152 2002-01-01 2020-07-01 Quarterly #> 153 1930-01-01 2019-01-01 Annual #> 154 2003-01-01 2020-07-01 Quarterly #> 155 2002-01-01 2020-07-01 Quarterly #> 156 1950-01-01 2017-01-01 Annual #> 157 1929-01-01 2019-01-01 Annual #> 158 1939-01-01 2020-11-01 Monthly #> 159 1995-01-01 2020-07-01 Quarterly #> 160 1947-01-01 2020-07-01 Quarterly #> 161 1960-01-01 2019-01-01 Annual #> 162 1996-01-01 2020-07-01 Quarterly #> 163 1947-01-01 2020-07-01 Quarterly #> 164 1929-01-01 2019-01-01 Annual #> 165 1947-04-01 2020-07-01 Quarterly #> 166 1948-01-01 2020-07-01 Quarterly #> 167 2002-01-01 2020-07-01 Quarterly #> 168 1947-01-01 2020-07-01 Quarterly #> 169 2002-01-01 2020-07-01 Quarterly #> 170 2002-01-01 2020-07-01 Quarterly #> 171 1930-01-01 2019-01-01 Annual #> 172 2003-01-01 2020-07-01 Quarterly #> 173 1947-01-01 2020-07-01 Quarterly #> 174 1975-01-01 2020-07-01 Quarterly #> 175 1959-07-01 2019-10-01 Quarterly #> 176 1996-04-01 2020-04-01 Quarterly #> 177 1970-01-01 2020-07-01 Quarterly #> 178 1947-01-01 2020-07-01 Quarterly #> 179 1997-01-01 2019-01-01 Annual #> 180 1997-01-01 2020-09-01 Monthly #> 181 1701-01-01 2016-01-01 Annual, As of February #> 182 2000-01-01 2021-01-01 Annual #> 183 2011-07-01 2020-04-01 Quarterly #> 184 1929-01-01 2019-01-01 Annual #> 185 1995-01-01 2020-07-01 Quarterly #> 186 1929-01-01 2019-01-01 Annual #> 187 1947-01-01 2020-07-01 Quarterly #> 188 1952-01-01 2019-01-01 Annual #> 189 1947-01-01 2020-07-01 Quarterly #> 190 2002-01-01 2020-07-01 Quarterly #> 191 2002-01-01 2020-07-01 Quarterly #> 192 1990-01-01 2016-01-01 Annual #> 193 1997-01-01 2019-01-01 Annual #> 194 1975-01-01 2020-07-01 Quarterly #> 195 1947-01-01 2020-07-01 Quarterly #> 196 1929-01-01 2019-01-01 Annual #> 197 2011-04-01 2020-04-01 Quarterly #> 198 1960-01-01 2020-07-01 Quarterly #> 199 2013-01-01 2019-01-01 Annual #> 200 1997-01-01 2019-01-01 Annual #> 201 2012-01-01 2019-01-01 Annual #> 202 1960-01-01 2019-01-01 Annual #> 203 1947-01-01 2020-07-01 Quarterly #> 204 1955-01-01 2020-07-01 Quarterly #> 205 2002-01-01 2020-07-01 Quarterly #> 206 1960-04-01 2020-07-01 Quarterly #> 207 1929-01-01 2019-01-01 Annual #> 208 2002-01-01 2020-07-01 Quarterly #> 209 1947-01-01 2020-07-01 Quarterly #> 210 1947-01-01 2020-07-01 Quarterly #> 211 1947-01-01 2020-07-01 Quarterly #> 212 1949-01-01 2030-10-01 Quarterly #> 213 1947-01-01 2020-07-01 Quarterly #> 214 2003-01-01 2020-07-01 Quarterly #> 215 1947-01-01 2020-07-01 Quarterly #> 216 2002-01-01 2019-01-01 Annual #> 217 2002-01-01 2020-07-01 Quarterly #> 218 1960-01-01 2019-01-01 Annual #> 219 1960-01-01 2020-07-01 Quarterly #> 220 1975-01-01 2020-07-01 Quarterly #> 221 1960-01-01 2019-01-01 Annual #> 222 1929-01-01 2019-01-01 Annual #> 223 2002-01-01 2020-07-01 Quarterly #> 224 1961-01-01 2019-01-01 Annual #> 225 1995-01-01 2020-07-01 Quarterly #> 226 1960-01-01 2019-01-01 Annual #> 227 1960-01-01 2019-01-01 Annual #> 228 1961-01-01 2019-01-01 Annual #> 229 1929-01-01 2019-01-01 Annual #> 230 1967-10-01 2020-04-01 Quarterly #> 231 1997-01-01 2019-01-01 Annual #> 232 1947-01-01 2020-07-01 Quarterly #> 233 1950-01-01 2017-01-01 Annual #> 234 1996-01-01 2017-01-01 Annual #> 235 1995-01-01 2020-07-01 Quarterly #> 236 1929-01-01 2019-01-01 Annual #> 237 1960-01-01 2019-01-01 Annual #> 238 1960-01-01 2020-07-01 Quarterly #> 239 1991-01-01 2020-07-01 Quarterly #> 240 1947-01-01 2020-07-01 Quarterly #> 241 2003-01-01 2020-07-01 Quarterly #> 242 1967-01-01 2019-01-01 Annual #> 243 1948-01-01 2019-01-01 Annual #> 244 1947-01-01 2020-07-01 Quarterly #> 245 2005-01-01 2020-04-01 Quarterly #> 246 1993-01-01 2020-07-01 Quarterly #> 247 1995-01-01 2020-07-01 Quarterly #> 248 1947-01-01 2020-07-01 Quarterly #> 249 2002-01-01 2020-07-01 Quarterly #> 250 2002-01-01 2020-07-01 Quarterly #> 251 1970-01-01 2019-01-01 Annual #> 252 1960-04-01 2020-07-01 Quarterly #> 253 1980-01-01 2025-01-01 Annual #> 254 1991-01-01 2020-07-01 Quarterly #> 255 1995-01-01 2020-07-01 Quarterly #> 256 1975-01-01 2015-01-01 Annual #> 257 1947-01-01 2020-07-01 Quarterly #> 258 1995-01-01 2020-07-01 Quarterly #> 259 1947-01-01 2020-07-01 Quarterly #> 260 1947-01-01 2020-07-01 Quarterly #> 261 1960-01-01 2020-07-01 Quarterly #> 262 1960-01-01 2020-07-01 Quarterly #> 263 1961-01-01 2019-01-01 Annual #> 264 1947-01-01 2020-07-01 Quarterly #> 265 1960-01-01 2019-01-01 Annual #> 266 1960-01-01 2019-01-01 Annual #> 267 1929-01-01 2019-01-01 Annual #> 268 1929-01-01 2019-01-01 Annual #> 269 1929-01-01 2019-01-01 Annual #> 270 1947-01-01 2020-07-01 Quarterly #> 271 1950-01-01 2017-01-01 Annual #> 272 1982-01-01 2019-01-01 Annual #> 273 1993-01-01 2020-07-01 Quarterly #> 274 1995-01-01 2020-07-01 Quarterly #> 275 1947-01-01 2017-04-01 Quarterly #> 276 1970-01-01 2020-07-01 Quarterly #> 277 1996-01-01 2020-07-01 Quarterly #> 278 1993-01-01 2020-07-01 Quarterly #> 279 1960-01-01 2019-01-01 Annual #> 280 1929-01-01 2019-01-01 Annual #> 281 1929-01-01 2019-01-01 Annual #> 282 1947-01-01 2020-07-01 Quarterly #> 283 1947-01-01 2020-07-01 Quarterly #> 284 1996-01-01 2011-01-01 Annual #> 285 1978-01-01 2020-10-01 Monthly #> 286 1995-01-01 2020-07-01 Quarterly #> 287 1947-01-01 2020-07-01 Quarterly #> 288 1947-01-01 2020-07-01 Quarterly #> 289 1980-04-01 2020-07-01 Quarterly #> 290 2002-01-01 2020-07-01 Quarterly #> 291 1996-04-01 2020-07-01 Quarterly #> 292 1970-01-01 2019-01-01 Annual #> 293 1929-01-01 2016-01-01 Annual #> 294 1947-01-01 2017-04-01 Quarterly #> 295 1981-01-01 2019-01-01 Annual #> 296 1980-01-01 2020-07-01 Quarterly #> 297 1996-01-01 2020-07-01 Quarterly #> 298 1996-01-01 2019-01-01 Annual #> 299 1993-01-01 2019-01-01 Annual #> 300 1997-01-01 2019-01-01 Annual #> 301 1995-01-01 2019-10-01 Quarterly #> 302 1947-01-01 2020-07-01 Quarterly #> 303 1980-01-01 2019-01-01 Annual #> 304 1996-01-01 2019-01-01 Annual #> 305 2002-01-01 2020-07-01 Quarterly #> 306 1998-01-01 2020-07-01 Quarterly #> 307 1995-01-01 2020-07-01 Quarterly #> 308 1929-01-01 2019-01-01 Annual #> 309 2001-01-01 2019-01-01 Annual #> 310 1995-01-01 2019-01-01 Annual #> 311 1947-01-01 2020-07-01 Quarterly #> 312 1980-01-01 2020-07-01 Quarterly #> 313 1960-01-01 2020-07-01 Quarterly #> 314 1995-01-01 2020-07-01 Quarterly #> 315 1960-01-01 2019-01-01 Annual #> 316 1998-04-01 2020-07-01 Quarterly #> 317 1998-01-01 2020-07-01 Quarterly #> 318 1995-01-01 2019-10-01 Quarterly #> 319 1947-01-01 2020-07-01 Quarterly #> 320 2001-01-01 2019-01-01 Annual #> 321 1998-01-01 2019-01-01 Annual #> 322 2005-01-01 2020-04-01 Quarterly #> 323 1929-01-01 2019-01-01 Annual #> 324 1960-01-01 2019-01-01 Annual #> 325 1999-01-01 2019-01-01 Annual #> 326 1998-01-01 2019-01-01 Annual #> 327 1947-01-01 2020-07-01 Quarterly #> 328 1960-01-01 2020-07-01 Quarterly #> 329 2003-01-01 2020-04-01 Quarterly #> 330 1952-01-01 2020-04-01 Quarterly, End of Quarter #> 331 1947-01-01 2020-07-01 Quarterly #> 332 1980-01-01 2020-07-01 Quarterly #> 333 1960-01-01 2019-01-01 Annual #> 334 1980-01-01 2020-07-01 Quarterly #> 335 1960-01-01 2020-07-01 Quarterly #> 336 1948-01-01 2020-07-01 Quarterly #> 337 1960-01-01 2019-01-01 Annual #> 338 1960-01-01 2019-01-01 Annual #> 339 1960-01-01 2019-01-01 Annual #> 340 1960-01-01 2020-07-01 Quarterly #> 341 1975-01-01 2020-07-01 Quarterly #> 342 1929-01-01 2019-01-01 Annual #> 343 2003-04-01 2020-04-01 Quarterly #> 344 1947-01-01 2020-07-01 Quarterly #> 345 2004-01-01 2020-04-01 Quarterly #> 346 2003-01-01 2020-04-01 Quarterly #> 347 1947-04-01 2020-07-01 Quarterly #> 348 1929-01-01 2019-01-01 Annual #> 349 1930-01-01 2019-01-01 Annual #> 350 2003-01-01 2019-01-01 Annual #> 351 2003-01-01 2019-01-01 Annual #> 352 2004-01-01 2019-01-01 Annual #> 353 2004-01-01 2019-01-01 Annual #> 354 1997-01-01 2019-01-01 Annual #> 355 1959-04-01 2020-07-01 Quarterly #> 356 2002-01-01 2020-07-01 Quarterly #> 357 1960-01-01 2019-01-01 Annual #> 358 1947-04-01 2020-07-01 Quarterly #> 359 1930-01-01 2019-01-01 Annual #> 360 1985-10-01 2020-04-01 Quarterly, End of Quarter #> 361 1975-01-01 2020-07-01 Quarterly #> 362 1961-01-01 2020-07-01 Quarterly #> 363 2002-01-01 2020-07-01 Quarterly #> 364 2001-01-01 2019-01-01 Annual #> 365 1997-01-01 2019-01-01 Annual #> 366 1960-01-01 2019-01-01 Annual #> 367 2005-01-01 2020-04-01 Quarterly #> 368 1996-01-01 2017-01-01 Annual #> 369 1950-01-01 2010-01-01 Annual #> 370 1961-03-01 2020-08-01 Monthly #> 371 1947-01-01 2020-07-01 Quarterly #> 372 2002-01-01 2020-07-01 Quarterly #> 373 1930-01-01 2019-01-01 Annual #> 374 1947-01-01 2020-07-01 Quarterly #> 375 2002-01-01 2020-07-01 Quarterly #> 376 1947-04-01 2020-07-01 Quarterly #> 377 1995-01-01 2020-07-01 Quarterly #> 378 1997-01-01 2015-10-01 Quarterly #> 379 2003-01-01 2020-07-01 Quarterly #> 380 1967-01-01 2019-01-01 Annual #> 381 2002-01-01 2020-07-01 Quarterly #> 382 2002-01-01 2020-07-01 Quarterly #> 383 1948-01-01 2020-07-01 Quarterly #> 384 2002-01-01 2019-01-01 Annual #> 385 2002-01-01 2019-01-01 Annual #> 386 1930-01-01 2019-01-01 Annual #> 387 2002-01-01 2020-07-01 Quarterly #> 388 2003-01-01 2020-07-01 Quarterly #> 389 2002-01-01 2020-07-01 Quarterly #> 390 1947-01-01 2020-07-01 Quarterly #> 391 1997-01-01 2019-01-01 Annual #> 392 1997-01-01 2019-01-01 Annual #> 393 2001-01-01 2019-01-01 Annual #> 394 1960-01-01 2019-01-01 Annual #> 395 1996-04-01 2020-04-01 Quarterly #> 396 1960-01-01 2020-07-01 Quarterly #> 397 1929-01-01 2019-01-01 Annual #> 398 1947-01-01 2020-07-01 Quarterly #> 399 1960-01-01 2013-10-01 Quarterly #> 400 1960-03-01 2020-08-01 Monthly #> 401 2000-01-01 2020-07-01 Quarterly #> 402 1929-01-01 2019-01-01 Annual #> 403 1920-01-01 1938-12-01 Monthly #> 404 1994-04-01 2020-07-01 Quarterly #> 405 1994-01-01 2020-07-01 Quarterly #> 406 1700-01-01 2016-01-01 Annual #> 407 2001-01-01 2019-01-01 Annual #> 408 1950-01-01 2017-01-01 Annual #> 409 1996-01-01 2017-01-01 Annual #> 410 1960-01-01 2019-01-01 Annual #> 411 2001-01-01 2019-01-01 Annual #> 412 1997-01-01 2019-01-01 Annual #> 413 1997-01-01 2019-01-01 Annual #> 414 1960-01-01 2011-01-01 Annual #> 415 1947-01-01 2020-07-01 Quarterly #> 416 1990-04-01 2020-07-01 Quarterly #> 417 1959-01-01 2020-07-01 Quarterly #> 418 1929-01-01 2019-01-01 Annual #> 419 1920-04-01 2016-10-01 Quarterly #> 420 1990-01-01 2020-07-01 Quarterly #> 421 1955-01-01 2016-10-01 Quarterly #> 422 1997-01-01 2019-01-01 Annual #> 423 1995-01-01 2019-01-01 Annual #> 424 1960-01-01 2019-01-01 Annual #> 425 1960-01-01 2013-01-01 Annual #> 426 1991-01-01 2019-01-01 Annual #> 427 2000-01-01 2019-01-01 Annual #> 428 1994-01-01 2020-07-01 Quarterly #> 429 1990-01-01 2019-01-01 Annual #> 430 1994-01-01 2019-01-01 Annual #> 431 1994-01-01 2019-01-01 Annual #> 432 1997-01-01 2019-01-01 Annual #> 433 1950-01-01 2017-01-01 Annual #> 434 1959-07-01 2020-07-01 Quarterly #> 435 1978-01-01 2020-07-01 Quarterly #> 436 1959-01-01 2020-07-01 Quarterly #> 437 1996-01-01 2020-07-01 Quarterly #> 438 1937-01-01 2019-01-01 Annual #> 439 1929-01-01 2019-01-01 Annual #> 440 1929-01-01 2019-01-01 Annual #> 441 1947-01-01 2020-07-01 Quarterly #> 442 1995-01-01 2020-07-01 Quarterly #> 443 2001-01-01 2019-01-01 Annual #> 444 1997-01-01 2019-01-01 Annual #> 445 1996-01-01 2017-01-01 Annual #> 446 1929-01-01 2019-01-01 Annual #> 447 2005-01-01 2020-04-01 Quarterly #> 448 1997-01-01 2019-01-01 Annual #> 449 1980-01-01 2018-01-01 Annual #> 450 1947-01-01 2020-07-01 Quarterly #> 451 1947-01-01 2020-07-01 Quarterly #> 452 2002-01-01 2020-07-01 Quarterly #> 453 1997-01-01 2025-01-01 Annual #> 454 1960-01-01 2019-01-01 Annual #> 455 1978-01-01 2020-07-01 Quarterly #> 456 1991-01-01 2020-07-01 Quarterly #> 457 1970-04-01 2020-07-01 Quarterly #> 458 1960-01-01 2019-01-01 Annual #> 459 1959-01-01 2020-07-01 Quarterly #> 460 2005-01-01 2020-04-01 Quarterly #> 461 1970-01-01 2020-07-01 Quarterly #> 462 1997-01-01 2019-01-01 Annual #> 463 1997-01-01 2019-01-01 Annual #> 464 1950-01-01 2017-01-01 Annual #> 465 1997-01-01 2019-01-01 Annual #> 466 2001-01-01 2019-01-01 Annual #> 467 1970-01-01 2020-07-01 Quarterly #> 468 1960-01-01 2019-01-01 Annual #> 469 2003-01-01 2020-04-01 Quarterly #> 470 1948-01-01 2020-07-01 Quarterly #> 471 1929-01-01 2019-01-01 Annual #> 472 1971-01-01 2019-01-01 Annual #> 473 1929-01-01 2019-01-01 Annual #> 474 1947-04-01 2020-07-01 Quarterly #> 475 1970-01-01 2019-01-01 Annual #> 476 1947-01-01 2020-07-01 Quarterly #> 477 1991-01-01 2019-01-01 Annual #> 478 1967-01-01 2019-01-01 Annual #> 479 1930-01-01 2019-01-01 Annual #> 480 2002-01-01 2020-07-01 Quarterly #> 481 2003-01-01 2020-07-01 Quarterly #> 482 2002-01-01 2020-07-01 Quarterly #> 483 1961-01-01 2019-01-01 Annual #> 484 1929-01-01 2019-01-01 Annual #> 485 1960-01-01 2019-01-01 Annual #> 486 1955-01-01 2017-01-01 Annual #> 487 1970-01-01 2019-01-01 Annual #> 488 1951-01-01 2017-01-01 Annual #> 489 1960-01-01 2019-01-01 Annual #> 490 1997-01-01 2019-01-01 Annual #> 491 1991-01-01 2019-01-01 Annual #> 492 1947-01-01 2020-07-01 Quarterly #> 493 1947-01-01 2020-07-01 Quarterly #> 494 1992-01-01 2019-01-01 Annual #> 495 1996-01-01 2020-07-01 Quarterly #> 496 1980-01-01 2025-01-01 Annual #> 497 2003-01-01 2019-01-01 Annual #> 498 1960-01-01 2020-07-01 Quarterly #> 499 1960-01-01 2020-07-01 Quarterly #> 500 1960-01-01 2020-07-01 Quarterly #> 501 1960-01-01 2019-01-01 Annual #> 502 1959-01-01 2019-01-01 Annual #> 503 2001-01-01 2019-01-01 Annual #> 504 2009-01-01 2018-10-01 Quarterly #> 505 1960-01-01 2019-01-01 Annual #> 506 2001-01-01 2019-01-01 Annual #> 507 1947-01-01 2020-07-01 Quarterly #> 508 1960-01-01 2015-01-01 Annual #> 509 1990-01-01 1999-01-01 Annual #> 510 1996-01-01 2017-01-01 Annual #> 511 2020-01-01 2023-01-01 Annual #> 512 1985-01-01 2019-01-01 Annual #> 513 1947-01-01 2020-07-01 Quarterly #> 514 1993-01-01 2020-07-01 Quarterly #> 515 1947-01-01 2020-07-01 Quarterly #> 516 1996-01-01 2019-01-01 Annual #> 517 1960-01-01 2020-07-01 Quarterly #> 518 1947-01-01 2020-07-01 Quarterly #> 519 1929-01-01 2019-01-01 Annual #> 520 1992-01-01 2020-01-01 Annual #> 521 1960-01-01 2019-01-01 Annual #> 522 1960-01-01 2019-01-01 Annual #> 523 1929-01-01 2019-01-01 Annual #> 524 1960-01-01 2019-01-01 Annual #> 525 1997-01-01 2019-01-01 Annual #> 526 1989-01-01 2016-01-01 Annual #> 527 1947-01-01 2020-07-01 Quarterly #> 528 1997-01-01 2019-01-01 Annual #> 529 1992-01-01 2019-01-01 Annual #> 530 1997-01-01 2019-01-01 Annual #> 531 1947-01-01 2020-07-01 Quarterly #> 532 1939-01-01 2019-01-01 Annual #> 533 1990-01-01 2017-01-01 Annual #> 534 1997-01-01 2019-01-01 Annual #> 535 1947-01-01 2019-01-01 Annual #> 536 1990-01-01 2020-07-01 Quarterly #> 537 1947-04-01 2020-07-01 Quarterly #> 538 1995-01-01 2020-07-01 Quarterly #> 539 1998-01-01 2020-07-01 Quarterly #> 540 1960-01-01 2019-01-01 Annual #> 541 1929-01-01 2019-01-01 Annual #> 542 1961-01-01 2020-07-01 Quarterly #> 543 2008-01-01 2018-01-01 Annual #> 544 1993-01-01 2020-07-01 Quarterly #> 545 1952-01-01 2020-04-01 Quarterly, End of Quarter #> 546 1929-01-01 2019-01-01 Annual #> 547 1961-01-01 2019-01-01 Annual #> 548 1997-01-01 2019-01-01 Annual #> 549 1997-01-01 2019-01-01 Annual #> 550 1962-01-01 2019-01-01 Annual #> 551 1997-01-01 2019-01-01 Annual #> 552 1950-01-01 2017-01-01 Annual #> 553 1947-01-01 2020-07-01 Quarterly #> 554 1960-01-01 2019-01-01 Annual #> 555 2001-01-01 2019-01-01 Annual #> 556 2001-01-01 2019-01-01 Annual #> 557 1947-01-01 2020-07-01 Quarterly #> 558 1995-01-01 2020-07-01 Quarterly #> 559 1960-01-01 2019-01-01 Annual #> 560 1995-01-01 2020-07-01 Quarterly #> 561 1980-01-01 2019-01-01 Annual #> 562 1960-01-01 2020-04-01 Quarterly #> 563 1947-01-01 2020-07-01 Quarterly #> 564 1990-01-01 2020-07-01 Quarterly #> 565 1929-01-01 2019-01-01 Annual #> 566 1930-01-01 2019-01-01 Annual #> 567 1995-01-01 2020-07-01 Quarterly #> 568 1998-01-01 2019-01-01 Annual #> 569 1995-01-01 2020-07-01 Quarterly #> 570 1929-01-01 2019-01-01 Annual #> 571 1980-01-01 2020-07-01 Quarterly #> 572 1960-01-01 2019-01-01 Annual #> 573 1960-01-01 2019-01-01 Annual #> 574 2001-01-01 2019-01-01 Annual #> 575 1947-01-01 2020-07-01 Quarterly #> 576 2001-01-01 2019-01-01 Annual #> 577 2005-01-01 2020-04-01 Quarterly #> 578 1960-01-01 2019-01-01 Annual #> 579 1929-01-01 2019-01-01 Annual #> 580 1997-01-01 2019-01-01 Annual #> 581 1997-01-01 2019-01-01 Annual #> 582 1965-01-01 2019-01-01 Annual #> 583 1960-01-01 2019-01-01 Annual #> 584 1960-01-01 2020-08-01 Monthly #> 585 1960-01-01 2019-01-01 Annual #> 586 1980-01-01 2025-01-01 Annual #> 587 1995-01-01 2020-07-01 Quarterly #> 588 1960-01-01 2019-01-01 Annual #> 589 1929-01-01 2019-01-01 Annual #> 590 1995-01-01 2020-07-01 Quarterly #> 591 1980-01-01 2025-01-01 Annual #> 592 1995-01-01 2020-07-01 Quarterly #> 593 1980-01-01 2025-01-01 Annual #> 594 1929-01-01 2019-01-01 Annual #> 595 1995-01-01 2020-07-01 Quarterly #> 596 1980-01-01 2020-07-01 Quarterly #> 597 1980-01-01 2020-07-01 Quarterly #> 598 1929-01-01 2019-01-01 Annual #> 599 1946-10-01 2017-07-01 Quarterly #> 600 1946-01-01 2018-01-01 Annual #> 601 1995-01-01 2020-07-01 Quarterly #> 602 1960-01-01 2017-01-01 Annual #> 603 1960-01-01 2019-01-01 Annual #> 604 1997-01-01 2019-01-01 Annual #> 605 1947-01-01 2020-07-01 Quarterly #> 606 1995-01-01 2020-07-01 Quarterly #> 607 1996-01-01 2017-01-01 Annual #> 608 1960-01-01 2010-01-01 Annual #> 609 2004-01-01 2021-01-01 Annual #> 610 2001-01-01 2019-01-01 Annual #> 611 1947-01-01 2020-07-01 Quarterly #> 612 1947-01-01 2020-07-01 Quarterly #> 613 1947-04-01 2020-07-01 Quarterly #> 614 1990-01-01 2025-01-01 Annual #> 615 1946-10-01 2019-04-01 Quarterly #> 616 1995-01-01 2020-07-01 Quarterly #> 617 1929-01-01 2019-01-01 Annual #> 618 1930-01-01 2019-01-01 Annual #> 619 2002-01-01 2020-07-01 Quarterly #> 620 1946-10-01 2019-04-01 Quarterly #> 621 1946-01-01 2016-01-01 Annual #> 622 1946-01-01 2018-01-01 Annual #> 623 1996-01-01 2020-07-01 Quarterly #> 624 1981-04-01 2020-07-01 Quarterly #> 625 1982-01-01 2019-01-01 Annual #> 626 1960-01-01 2019-01-01 Annual #> 627 1964-10-01 2020-04-01 Quarterly, End of Quarter #> 628 1967-01-01 2019-01-01 Annual #> 629 2001-01-01 2019-01-01 Annual #> 630 1995-01-01 2020-07-01 Quarterly #> 631 1947-01-01 2020-07-01 Quarterly #> 632 1960-02-01 2020-08-01 Monthly #> 633 1996-01-01 2017-01-01 Annual #> 634 1997-01-01 2019-01-01 Annual #> 635 2001-01-01 2019-01-01 Annual #> 636 1947-01-01 2020-07-01 Quarterly #> 637 1970-01-01 2020-07-01 Quarterly #> 638 1959-01-01 2019-01-01 Annual #> 639 1998-01-01 2017-01-01 Annual #> 640 2001-01-01 2019-01-01 Annual #> 641 1959-01-01 2019-01-01 Annual #> 642 1997-01-01 2019-01-01 Annual #> 643 2005-01-01 2020-04-01 Quarterly #> 644 1990-01-01 2020-07-01 Quarterly #> 645 1996-01-01 2012-01-01 Annual #> 646 1950-01-01 2017-01-01 Annual #> 647 1950-01-01 2017-01-01 Annual #> 648 1929-01-01 2019-01-01 Annual #> 649 1995-01-01 2020-07-01 Quarterly #> 650 1990-01-01 2020-07-01 Quarterly #> 651 1929-01-01 2019-01-01 Annual #> 652 1987-04-01 2020-04-01 Quarterly #> 653 1981-01-01 2020-07-01 Quarterly #> 654 2005-01-01 2020-04-01 Quarterly #> 655 1947-01-01 2020-07-01 Quarterly #> 656 2002-01-01 2020-07-01 Quarterly #> 657 2002-01-01 2020-07-01 Quarterly #> 658 2003-01-01 2020-07-01 Quarterly #> 659 1995-01-01 2020-07-01 Quarterly #> 660 2001-01-01 2025-01-01 Annual #> 661 1996-01-01 2019-01-01 Annual #> 662 1981-01-01 2019-01-01 Annual #> 663 1960-01-01 2020-07-01 Quarterly #> 664 1947-01-01 2020-07-01 Quarterly #> 665 1960-01-01 2019-01-01 Annual #> 666 1929-01-01 2019-01-01 Annual #> 667 1997-01-01 2019-01-01 Annual #> 668 1947-01-01 2020-07-01 Quarterly #> 669 1960-01-01 2017-01-01 Annual #> 670 2009-02-18 2020-12-16 Not Applicable #> 671 1997-01-01 2019-01-01 Annual #> 672 2001-01-01 2019-01-01 Annual #> 673 2005-01-01 2020-04-01 Quarterly #> 674 2001-01-01 2019-01-01 Annual #> 675 2012-04-01 2020-04-01 Quarterly #> 676 1995-01-01 2019-10-01 Quarterly #> 677 1950-01-01 2017-01-01 Annual #> 678 1929-01-01 2019-01-01 Annual #> 679 1989-01-01 2019-01-01 Annual #> 680 1997-01-01 2019-01-01 Annual #> 681 2001-01-01 2019-01-01 Annual #> 682 1950-01-01 2017-01-01 Annual #> 683 1988-01-01 2019-01-01 Annual #> 684 1988-04-01 2020-04-01 Quarterly #> 685 1947-01-01 2020-07-01 Quarterly #> 686 1959-01-01 2020-07-01 Quarterly #> 687 1995-01-01 2020-07-01 Quarterly #> 688 1947-01-01 2020-07-01 Quarterly #> 689 1990-01-01 2019-01-01 Annual #> 690 1929-01-01 2019-01-01 Annual #> 691 1988-01-01 2020-04-01 Quarterly #> 692 1989-01-01 2019-01-01 Annual #> 693 1988-01-01 2019-01-01 Annual #> 694 1947-01-01 2020-07-01 Quarterly #> 695 1929-01-01 2019-01-01 Annual #> 696 1929-01-01 2019-01-01 Annual #> 697 1988-01-01 2019-01-01 Annual #> 698 1971-01-01 2019-01-01 Annual #> 699 1959-07-01 2019-10-01 Quarterly #> 700 1981-01-01 2020-07-01 Quarterly #> 701 1997-01-01 2015-10-01 Quarterly #> 702 1960-01-01 2019-01-01 Annual #> 703 1970-01-01 2019-01-01 Annual #> 704 1952-01-01 2019-01-01 Annual #> 705 1995-01-01 2020-07-01 Quarterly #> 706 1995-01-01 2020-07-01 Quarterly #> 707 2014-04-01 2020-10-01 Quarterly #> 708 1996-01-01 2017-01-01 Annual #> 709 1997-01-01 2019-01-01 Annual #> 710 1960-01-01 2011-01-01 Annual #> 711 1997-01-01 2019-01-01 Annual #> 712 2001-01-01 2019-01-01 Annual #> 713 2005-01-01 2020-01-01 Quarterly #> 714 1997-01-01 2019-01-01 Annual #> 715 1997-01-01 2019-01-01 Annual #> 716 1996-01-01 2017-01-01 Annual #> 717 2001-01-01 2019-01-01 Annual #> 718 1950-01-01 2017-01-01 Annual #> 719 1937-01-01 2019-01-01 Annual #> 720 1960-04-01 2020-07-01 Quarterly #> 721 1961-01-01 2020-07-01 Quarterly #> 722 1995-01-01 2019-10-01 Quarterly #> 723 1947-01-01 2020-07-01 Quarterly #> 724 1929-01-01 2019-01-01 Annual #> 725 1947-01-01 2020-07-01 Quarterly #> 726 1960-01-01 2020-07-01 Quarterly #> 727 1929-01-01 2019-01-01 Annual #> 728 1970-01-01 2019-01-01 Annual #> 729 2013-01-01 2019-01-01 Annual #> 730 1995-01-01 2019-10-01 Quarterly #> 731 1929-01-01 2019-01-01 Annual #> 732 1961-01-01 2019-01-01 Annual #> 733 1947-01-01 2020-07-01 Quarterly #> 734 1994-01-01 2020-07-01 Quarterly #> 735 1961-01-01 2019-01-01 Annual #> 736 1961-01-01 2019-01-01 Annual #> 737 1960-01-01 2019-01-01 Annual #> 738 1994-01-01 2019-01-01 Annual #> 739 1947-01-01 2020-07-01 Quarterly #> 740 1996-01-01 2017-01-01 Annual #> 741 1992-01-01 2019-01-01 Annual #> 742 1997-01-01 2019-01-01 Annual #> 743 1960-01-01 2019-01-01 Annual #> 744 1997-01-01 2019-01-01 Annual #> 745 1967-01-01 2019-01-01 Annual #> 746 1960-01-01 2019-01-01 Annual #> 747 2001-01-01 2019-01-01 Annual #> 748 2001-01-01 2019-01-01 Annual #> 749 1992-01-01 2017-01-01 Annual #> 750 1960-01-01 2019-01-01 Annual #> 751 1270-01-01 2016-01-01 Annual #> 752 2001-01-01 2019-01-01 Annual #> 753 1960-01-01 2014-01-01 Annual #> 754 1960-01-01 2019-01-01 Annual #> 755 1997-01-01 2019-01-01 Annual #> 756 1960-01-01 2019-01-01 Annual #> 757 2000-01-01 2021-01-01 Annual #> 758 2005-04-01 2019-04-01 Quarterly #> 759 2000-01-01 2019-01-01 Annual #> 760 1995-01-01 2020-07-01 Quarterly #> 761 2005-01-01 2019-01-01 Annual #> 762 1947-01-01 2020-07-01 Quarterly #> 763 2002-01-01 2020-07-01 Quarterly #> 764 1929-01-01 2019-01-01 Annual #> 765 1995-01-01 2019-10-01 Quarterly #> 766 1990-01-01 2020-07-01 Quarterly #> 767 1999-01-01 2020-04-01 Quarterly, End of Quarter #> 768 1990-01-01 2025-01-01 Annual #> 769 1960-01-01 2019-01-01 Annual #> 770 1947-01-01 2020-07-01 Quarterly #> 771 1929-01-01 2019-01-01 Annual #> 772 2000-01-01 2025-01-01 Annual #> 773 1997-01-01 2019-01-01 Annual #> 774 1947-04-01 2020-07-01 Quarterly #> 775 1997-01-01 2019-01-01 Annual #> 776 1960-01-01 2019-01-01 Annual #> 777 1990-01-01 2016-01-01 Annual #> 778 2004-01-01 2021-01-01 Annual #> 779 1997-01-01 2019-01-01 Annual #> 780 1960-01-01 2019-01-01 Annual #> 781 1960-01-01 2019-01-01 Annual #> 782 1929-01-01 2019-01-01 Annual #> 783 2001-01-01 2019-01-01 Annual #> 784 1981-01-01 2019-01-01 Annual #> 785 2011-01-01 2024-01-01 Annual #> 786 2005-01-01 2019-01-01 Annual #> 787 1970-01-01 2020-07-01 Quarterly #> 788 1947-01-01 2020-07-01 Quarterly #> 789 1947-01-01 2020-07-01 Quarterly #> 790 1929-01-01 2019-01-01 Annual #> 791 1990-01-01 2020-07-01 Quarterly #> 792 1960-01-01 2019-01-01 Annual #> 793 1947-01-01 2020-07-01 Quarterly #> 794 1996-01-01 2020-07-01 Quarterly #> 795 1947-01-01 2020-07-01 Quarterly #> 796 1970-01-01 2020-07-01 Quarterly #> 797 1947-01-01 2020-07-01 Quarterly #> 798 1929-01-01 2019-01-01 Annual #> 799 1970-01-01 2019-01-01 Annual #> 800 1996-01-01 2020-07-01 Quarterly #> 801 1947-01-01 2020-07-01 Quarterly #> 802 1948-01-01 2020-07-01 Quarterly #> 803 1929-01-01 2019-01-01 Annual #> 804 1929-01-01 2019-01-01 Annual #> 805 1947-04-01 2020-07-01 Quarterly #> 806 1930-01-01 2019-01-01 Annual #> 807 1929-01-01 2019-01-01 Annual #> 808 1929-01-01 2019-01-01 Annual #> 809 1980-01-01 2025-01-01 Annual #> 810 1947-01-01 2020-07-01 Quarterly #> 811 1947-04-01 2020-07-01 Quarterly #> 812 1947-01-01 2020-07-01 Quarterly #> 813 1929-01-01 2019-01-01 Annual #> 814 2000-01-01 2021-01-01 Annual #> 815 2001-01-01 2019-01-01 Annual #> 816 2010-01-01 2013-01-01 Annual #> 817 2001-01-01 2019-01-01 Annual #> 818 2001-01-01 2019-01-01 Annual #> 819 1996-01-01 2017-01-01 Annual #> 820 1947-01-01 2020-07-01 Quarterly #> 821 1990-01-01 2016-01-01 Annual #> 822 1968-01-01 2019-01-01 Annual #> 823 1997-01-01 2019-01-01 Annual #> 824 1997-01-01 2019-01-01 Annual #> 825 1947-01-01 2020-07-01 Quarterly #> 826 1996-01-01 2017-01-01 Annual #> 827 1980-01-01 2025-01-01 Annual #> 828 2003-01-01 2021-01-01 Annual #> 829 1930-01-01 2019-01-01 Annual #> 830 1970-01-01 2019-01-01 Annual #> 831 1930-01-01 2019-01-01 Annual #> 832 2002-01-01 2020-07-01 Quarterly #> 833 1929-01-01 2019-01-01 Annual #> 834 1962-01-01 2020-07-01 Quarterly #> 835 1947-01-01 2020-07-01 Quarterly #> 836 1959-01-01 2020-07-01 Quarterly #> 837 1995-01-01 2020-07-01 Quarterly #> 838 1996-01-01 2019-01-01 Annual #> 839 1995-01-01 2019-10-01 Quarterly #> 840 1995-01-01 2019-10-01 Quarterly #> 841 1995-01-01 2020-07-01 Quarterly #> 842 2002-01-01 2020-07-01 Quarterly #> 843 1947-04-01 2020-07-01 Quarterly #> 844 1929-01-01 2019-01-01 Annual #> 845 1996-01-01 2025-01-01 Annual #> 846 1962-01-01 2019-01-01 Annual #> 847 1929-01-01 2019-01-01 Annual #> 848 1948-01-01 2020-07-01 Quarterly #> 849 1930-01-01 2019-01-01 Annual #> 850 2002-01-01 2019-01-01 Annual #> 851 2002-01-01 2020-07-01 Quarterly #> 852 2002-01-01 2020-07-01 Quarterly #> 853 2003-01-01 2020-07-01 Quarterly #> 854 1947-01-01 2020-07-01 Quarterly #> 855 2008-10-01 2019-07-01 Quarterly #> 856 1929-01-01 2019-01-01 Annual #> 857 2005-01-01 2020-04-01 Quarterly #> 858 1990-01-01 2016-01-01 Annual #> 859 2001-01-01 2019-01-01 Annual #> 860 1960-01-01 2011-01-01 Annual #> 861 1997-01-01 2019-01-01 Annual #> 862 1970-01-01 2017-01-01 Annual #> 863 1996-01-01 2017-01-01 Annual #> 864 1975-01-01 2019-01-01 Annual #> 865 2005-04-01 2020-04-01 Quarterly #> 866 2001-01-01 2019-01-01 Annual #> 867 1960-01-01 2019-01-01 Annual #> 868 1951-01-01 2010-01-01 Annual #> 869 1997-01-01 2019-01-01 Annual #> 870 1996-01-01 2017-01-01 Annual #> 871 2001-01-01 2019-01-01 Annual #> 872 1997-01-01 2019-01-01 Annual #> 873 2005-10-01 2020-04-01 Quarterly #> 874 1997-01-01 2019-01-01 Annual #> 875 2001-01-01 2019-01-01 Annual #> 876 2001-01-01 2019-01-01 Annual #> 877 1996-01-01 2017-01-01 Annual #> 878 1991-01-01 2015-01-01 Annual #> 879 1971-01-01 2019-01-01 Annual #> 880 1960-01-01 2020-07-01 Quarterly #> 881 1960-01-01 2019-01-01 Annual #> 882 2000-01-01 2021-01-01 Annual #> 883 1947-04-01 2020-07-01 Quarterly #> 884 1947-01-01 2020-07-01 Quarterly #> 885 1947-01-01 2020-07-01 Quarterly #> 886 1947-01-01 2020-07-01 Quarterly #> 887 1947-01-01 2020-07-01 Quarterly #> 888 1947-01-01 2020-07-01 Quarterly #> 889 2001-01-01 2019-01-01 Annual #> 890 1995-01-01 2020-07-01 Quarterly #> 891 1978-01-01 2020-07-01 Quarterly #> 892 2002-01-01 2020-07-01 Quarterly #> 893 1959-01-01 2020-07-01 Quarterly #> 894 1960-01-01 2019-01-01 Annual #> 895 1930-01-01 2019-01-01 Annual #> 896 1990-01-01 2019-01-01 Annual #> 897 1995-01-01 2020-07-01 Quarterly #> 898 2002-01-01 2020-07-01 Quarterly #> 899 2001-01-01 2025-01-01 Annual #> 900 1970-01-01 2020-07-01 Quarterly #> 901 1978-01-01 2020-07-01 Quarterly #> 902 1929-01-01 2019-01-01 Annual #> 903 1947-04-01 2020-07-01 Quarterly #> 904 1930-01-01 2019-01-01 Annual #> 905 1948-01-01 2020-07-01 Quarterly #> 906 1929-01-01 2019-01-01 Annual #> 907 1929-01-01 2019-01-01 Annual #> 908 1929-01-01 2019-01-01 Annual #> 909 1970-01-01 2019-01-01 Annual #> 910 2002-01-01 2020-07-01 Quarterly #> 911 2002-01-01 2020-07-01 Quarterly #> 912 2003-01-01 2020-07-01 Quarterly #> 913 1929-01-01 2019-01-01 Annual #> 914 1950-01-01 2017-01-01 Annual #> 915 1997-01-01 2019-01-01 Annual #> 916 1947-01-01 2020-07-01 Quarterly #> 917 1947-01-01 2020-07-01 Quarterly #> 918 1951-01-01 2010-01-01 Annual #> 919 1976-01-01 2017-01-01 Annual #> 920 1997-01-01 2019-01-01 Annual #> 921 1950-01-01 2017-01-01 Annual #> 922 1996-01-01 2017-01-01 Annual #> 923 2001-01-01 2019-01-01 Annual #> 924 1991-01-01 1992-01-01 Annual #> 925 2004-01-01 2021-01-01 Annual #> 926 1960-01-01 2019-01-01 Annual #> 927 1988-01-01 2019-01-01 Annual #> 928 1995-01-01 2020-04-01 Quarterly #> 929 1996-01-01 2017-01-01 Annual #> 930 2001-01-01 2019-01-01 Annual #> 931 1960-01-01 2011-01-01 Annual #> 932 1989-01-01 2019-01-01 Annual #> 933 1991-01-01 2019-01-01 Annual #> 934 1947-01-01 2020-07-01 Quarterly #> 935 1960-01-01 2019-01-01 Annual #> 936 1960-04-01 2020-07-01 Quarterly #> 937 1960-10-01 2020-04-01 Quarterly, End of Quarter #> 938 1947-01-01 2020-07-01 Quarterly #> 939 1980-01-01 2020-07-01 Quarterly #> 940 1980-01-01 2025-01-01 Annual #> 941 2003-01-01 2020-04-01 Quarterly #> 942 1960-01-01 2020-07-01 Quarterly #> 943 2003-01-01 2019-01-01 Annual #> 944 1947-01-01 2020-07-01 Quarterly #> 945 1929-01-01 2019-01-01 Annual #> 946 1929-01-01 2019-01-01 Annual #> 947 1929-01-01 2019-01-01 Annual #> 948 1929-01-01 2019-01-01 Annual #> 949 1947-01-01 2020-07-01 Quarterly #> 950 2002-01-01 2020-07-01 Quarterly #> 951 1995-01-01 2019-01-01 Annual #> 952 1961-01-01 2019-01-01 Annual #> 953 1980-01-01 2019-01-01 Annual #> 954 1960-01-01 2019-01-01 Annual #> 955 1961-01-01 2020-07-01 Quarterly #> 956 1961-01-01 2019-01-01 Annual #> 957 1990-01-01 2016-01-01 Annual #> 958 2001-01-01 2019-01-01 Annual #> 959 1960-01-01 2019-01-01 Annual #> 960 1952-01-01 2010-01-01 Annual #> 961 1947-01-01 2020-07-01 Quarterly #> 962 1960-01-01 2011-01-01 Annual #> 963 1960-01-01 2019-01-01 Annual #> 964 1947-01-01 2020-07-01 Quarterly #> 965 2005-01-01 2020-04-01 Quarterly #> 966 1950-01-01 2010-01-01 Annual #> 967 2001-01-01 2019-01-01 Annual #> 968 1960-01-01 2015-01-01 Annual #> 969 1929-01-01 2019-01-01 Annual #> 970 1960-01-01 2019-01-01 Annual #> 971 1970-01-01 2017-01-01 Annual #> 972 1952-01-01 2017-01-01 Annual #> 973 1960-01-01 2019-01-01 Annual #> 974 1970-01-01 2019-01-01 Annual #> 975 1950-01-01 2017-01-01 Annual #> 976 1980-01-01 2019-01-01 Annual #> 977 1980-01-01 2025-01-01 Annual #> 978 2011-01-01 2024-01-01 Annual #> 979 1960-01-01 2010-01-01 Annual #> 980 1947-01-01 2020-07-01 Quarterly #> 981 1991-01-01 2020-07-01 Quarterly #> 982 1700-01-01 2016-01-01 Annual, End of Year #> 983 1995-01-01 2020-07-01 Quarterly #> 984 1996-04-01 2020-04-01 Quarterly #> 985 1972-01-01 2020-07-01 Quarterly #> 986 1995-04-01 2020-07-01 Quarterly #> 987 2010-01-01 2020-04-01 Quarterly #> 988 1960-01-01 2020-04-01 Quarterly #> 989 1960-04-01 2020-04-01 Quarterly #> 990 1960-01-01 2019-01-01 Annual #> 991 1995-01-01 2020-07-01 Quarterly #> 992 1960-01-01 2010-01-01 Annual #> 993 1996-01-01 2020-07-01 Quarterly #> 994 1960-01-01 2020-07-01 Quarterly #> 995 1961-01-01 2019-01-01 Annual #> 996 2012-04-01 2020-04-01 Quarterly #> 997 2011-07-01 2020-04-01 Quarterly #> 998 1995-01-01 2020-07-01 Quarterly #> 999 1960-01-01 2019-01-01 Annual #> 1000 1995-01-01 2020-07-01 Quarterly #> frequency_short units #> 1 Q Billions of Chained 2012 Dollars #> 2 Q Percent Change from Preceding Period #> 3 A Billions of Chained 2012 Dollars #> 4 Q Percent Change from Quarter One Year Ago #> 5 A Percent Change from Preceding Period #> 6 Q Billions of Chained 2012 Dollars #> 7 Q Percent Change from Quarter One Year Ago #> 8 Q Index 2012=100 #> 9 Q Billions of Dollars #> 10 A Billions of Dollars #> 11 Q Percent Change from Preceding Period #> 12 Q Millions of Dollars #> 13 A Billions of Dollars #> 14 A Percent Change from Preceding Period #> 15 Q Index 2012=100 #> 16 Q Percent of GDP #> 17 Q Billions of Dollars #> 18 A Billions of Dollars #> 19 Q Millions of Dollars #> 20 Q Index 2012=100 #> 21 Q Index 2012=100 #> 22 Q Billions of Chained 2012 Dollars #> 23 Q Percent Change from Preceding Period #> 24 Q Percent Change from Preceding Period #> 25 Q Chained 2012 Dollars #> 26 A Percent Change from Preceding Period #> 27 A Billions of Chained 2012 Dollars #> 28 Q Percent Change from Quarter One Year Ago #> 29 A Percent Change from Preceding Period #> 30 Q Billions of Chained 2012 Dollars #> 31 Q Billions of Chained 2012 Dollars #> 32 Q Index 2012=100 #> 33 Q Percent Change from Quarter One Year Ago #> 34 Q Percent Change from Quarter One Year Ago #> 35 Q Billions of Chained 2012 Dollars #> 36 A Percent #> 37 A Index 2012=100 #> 38 A Billions of Chained 2012 Dollars #> 39 Q Percent Change from Preceding Period #> 40 Q Percent Change from Quarter One Year Ago #> 41 A Percent of GDP #> 42 Q Billions of Dollars #> 43 A Percent Change from Preceding Period #> 44 Q Index 2012=100 #> 45 Q Ratio #> 46 Q Billions of Chained 2012 Dollars #> 47 Q Chained 2012 Dollars #> 48 A Index 2012=100 #> 49 A Chained 2012 Dollars #> 50 A Percent of GDP #> 51 Q Percent Change from Preceding Period #> 52 A Billions of Chained 2012 Dollars #> 53 Q Percent Change from Quarter One Year Ago #> 54 A Percent Change from Preceding Period #> 55 Q Billions of Chained 2012 Dollars #> 56 Q Index 2012=100 #> 57 Q Percent Change from Quarter One Year Ago #> 58 Q Billions of Dollars #> 59 Q Billions of Dollars #> 60 Q Billions of Dollars #> 61 A Current U.S. Dollars #> 62 A Billions of Dollars #> 63 Q Billions of Dollars #> 64 A Billions of Dollars #> 65 A Billions of Dollars #> 66 Q Millions of Dollars #> 67 Q Millions of Dollars #> 68 Q Billions of Dollars #> 69 A Percent of GDP #> 70 Q Billions of Chained 2015 Yen #> 71 Q Billions of Dollars #> 72 Q Millions of Chained 2010 National Currency #> 73 Q Index 2012=100 #> 74 Q Thousands #> 75 A Thousands #> 76 Q Percent Change #> 77 A Percent of GDP #> 78 A Billions of Dollars #> 79 A Billions of Dollars #> 80 Q Billions of Chained 2012 Dollars #> 81 Q Millions of Chained 2010 National Currency #> 82 A Percent Change from Preceding Period #> 83 Q Percent Change from Preceding Period #> 84 A Billions of Dollars #> 85 Q Millions of Chained 2010 National Currency #> 86 Q Millions of Dollars #> 87 Q +1 or 0 #> 88 Q Millions of Chained 2010 Euros #> 89 Q Percent Change at Annual Rate #> 90 Q Billions of Dollars #> 91 Q Billions of Yen #> 92 Q Billions of Dollars #> 93 Q National Currency #> 94 A Billions of Chained 2012 Dollars #> 95 Q Percent Change at Annual Rate #> 96 M Index #> 97 A Billions of Dollars #> 98 Q Billions of Dollars #> 99 A Billions of Dollars #> 100 A Current U.S. Dollars #> 101 Q Percent Change from Preceding Period #> 102 Q Billions of Chained 2012 Dollars #> 103 Q Percent Change from Preceding Period #> 104 Q Growth Rate Previous Period #> 105 Q Millions of Dollars #> 106 Q Index 2012=100 #> 107 Q Index 2012=100 #> 108 Q Percent Change from Quarter One Year Ago #> 109 A Percent Change from Preceding Period #> 110 A Percent Change from Preceding Period #> 111 Q Billions of Dollars #> 112 A Fourth Quarter to Fourth Quarter Percent Change #> 113 A Percent of GDP #> 114 Q Chinese Yuans #> 115 Q Percent Change from Quarter One Year Ago #> 116 Q Index 2015=100 #> 117 Q Millions of Chained 2010 Euros #> 118 A Growth Rate Previous Period #> 119 A National Currency #> 120 A Index 2015=100 #> 121 Q Percent #> 122 Q Billions of Chained 2012 Dollars #> 123 A Billions of Dollars #> 124 Q Millions of Dollars #> 125 Q Index 2012=100 #> 126 Q Billions of Dollars #> 127 Q Billions of Dollars #> 128 Q Percentage of GDP #> 129 Q Billions of Dollars #> 130 A Chinese Yuans #> 131 Q Millions of Dollars #> 132 A Billions of Dollars #> 133 M Thousands of Persons #> 134 Q Billions of Dollars #> 135 A Percent of GDP #> 136 A Millions of Chained 2012 Dollars #> 137 A Millions of 2011 U.S. Dollars #> 138 Q Millions of Chained 2010 Euros #> 139 Q Billions of Chained 2012 Dollars #> 140 A Billions of Chained 2012 Dollars #> 141 A Billions of Dollars #> 142 A Dollars #> 143 Q Percent Change from Preceding Period #> 144 Q Billions of Dollars #> 145 A Percent #> 146 Q Dollars #> 147 A Dollars #> 148 Q Millions of Dollars #> 149 Q Dollars #> 150 Q Percent Change from Quarter One Year Ago #> 151 Q Index 2012=100 #> 152 Q Billions of Chained 2012 Dollars #> 153 A Percent Change from Preceding Period #> 154 Q Percent Change from Quarter One Year Ago #> 155 Q Index 2012=100 #> 156 A Ratio #> 157 A Billions of Chained 2012 Dollars #> 158 M Thousands of Persons #> 159 Q Millions of Euros #> 160 Q Billions of Dollars #> 161 A Billions of Dollars #> 162 Q Millions of Chained 2010 Euros #> 163 Q Billions of Dollars #> 164 A Billions of Dollars #> 165 Q Percent Change from Preceding Period #> 166 Q Percent Change from Quarter One Year Ago #> 167 Q Billions of Chained 2012 Dollars #> 168 Q Millions of Dollars #> 169 Q Index 2012=100 #> 170 Q Index 2012=100 #> 171 A Percent Change from Preceding Period #> 172 Q Percent Change from Quarter One Year Ago #> 173 Q Billions of Dollars #> 174 Q Millions of Chained 2010 Euros #> 175 Q Billions of Dollars #> 176 Q Chained 2000 National Currency Units #> 177 Q Percent of GDP #> 178 Q Billions of Dollars #> 179 A Millions of Dollars #> 180 M Index #> 181 A Percent of Nominal GDP #> 182 A Percent of GDP #> 183 Q Growth Rate Previous Period #> 184 A Billions of Dollars #> 185 Q Millions of Euros #> 186 A Billions of Dollars #> 187 Q Millions of Dollars #> 188 A Billions of Dollars #> 189 Q Millions of Dollars #> 190 Q Index 2012=100 #> 191 Q Index 2012=100 #> 192 A Percent of GDP #> 193 A Millions of Dollars #> 194 Q Millions of Chained 2010 Euros #> 195 Q Billions of Dollars #> 196 A Billions of Dollars #> 197 Q Index 2015=100 #> 198 Q Index 2015=100 #> 199 A Growth Rate Previous Period #> 200 A Chained 2000 National Currency Units #> 201 A Index 2015=100 #> 202 A Index 2015=100 #> 203 Q Billions of Dollars #> 204 Q Millions of Pounds #> 205 Q Billions of Chained 2012 Dollars #> 206 Q Growth Rate Previous Period #> 207 A Billions of Dollars #> 208 Q Billions of Chained 2012 Dollars #> 209 Q Percent #> 210 Q Chained 2012 Dollars #> 211 Q Billions of Dollars #> 212 Q Billions of Dollars #> 213 Q Percent #> 214 Q Percent Change from Quarter One Year Ago #> 215 Q Millions of Dollars #> 216 A Billions of Chained 2012 Dollars #> 217 Q Index 2012=100 #> 218 A Current U.S. Dollars #> 219 Q Index 2015=100 #> 220 Q Millions of National Currency #> 221 A 2010 U.S. Dollars #> 222 A Billions of Dollars #> 223 Q Billions of Chained 2012 Dollars #> 224 A Growth Rate Previous Period #> 225 Q Millions of National Currency #> 226 A Chained 2007-2008 Australian Dollars #> 227 A Index 2015=100 #> 228 A Growth Rate Same Period Previous Year #> 229 A Percent #> 230 Q Percentage Points #> 231 A Millions of Dollars #> 232 Q Billions of Dollars #> 233 A Millions of 2011 U.S. Dollars #> 234 A Percent #> 235 Q Millions of Chained 2010 Euros #> 236 A Percent #> 237 A Current U.S. Dollars #> 238 Q National Currency #> 239 Q Millions of Euros #> 240 Q Millions of Dollars #> 241 Q Percent Change from Quarter One Year Ago #> 242 A Billions of Chained 2012 Dollars #> 243 A Millions of hours #> 244 Q Billions of Dollars #> 245 Q Percent #> 246 Q Millions of Chained 2010 National Currency #> 247 Q Millions of Chained 2010 Euros #> 248 Q Index 2012=100 #> 249 Q Billions of Chained 2012 Dollars #> 250 Q Index 2012=100 #> 251 A Current U.S. Dollars #> 252 Q Growth Rate Previous Period #> 253 A Percent Change #> 254 Q Millions of Euros #> 255 Q Millions of Chained 2010 Euros #> 256 A Percent #> 257 Q Billions of Chained 2012 Dollars #> 258 Q Millions of Chained 2010 Euros #> 259 Q Billions of Dollars #> 260 Q Percent #> 261 Q Australian Dollars #> 262 Q Index 2015=100 #> 263 A Growth Rate Previous Period #> 264 Q Millions of Dollars #> 265 A National Currency #> 266 A Index 2015=100 #> 267 A Billions of Chained 2012 Dollars #> 268 A Percent #> 269 A Index 2012=100 #> 270 Q Percent #> 271 A Millions of 2011 U.S. Dollars #> 272 A Billions of Dollars #> 273 Q Millions of Chained 2010 National Currency #> 274 Q Millions of Chained 2010 Euros #> 275 Q Billions of Chained 2009 Dollars #> 276 Q Billions of Chained 2012 Dollars #> 277 Q Chained 2000 National Currency Units #> 278 Q National Currency #> 279 A Australian Dollars #> 280 A Billions of Dollars #> 281 A Percent #> 282 Q Billions of Dollars #> 283 Q Billions of Dollars #> 284 A Percent #> 285 M Index #> 286 Q Millions of Chained 2010 Euros #> 287 Q Millions of Dollars #> 288 Q Billions of Dollars #> 289 Q Growth Rate Previous Period #> 290 Q Index 2012=100 #> 291 Q Growth Rate Previous Period #> 292 A Billions of Chained 2012 Dollars #> 293 A Millions of Chained 2009 Dollars #> 294 Q Millions of Chained 2009 Dollars #> 295 A Growth Rate Previous Period #> 296 Q Index 2015=100 #> 297 Q Index 2015=100 #> 298 A Chained 2000 National Currency Units #> 299 A National Currency #> 300 A Growth Rate Previous Period #> 301 Q Millions of Euros #> 302 Q Billions of Dollars #> 303 A Index 2015=100 #> 304 A Index 2015=100 #> 305 Q Billions of Chained 2012 Dollars #> 306 Q Chained 2000 National Currency Units #> 307 Q Millions of Euros #> 308 A Billions of Dollars #> 309 A Millions of Dollars #> 310 A Percent of GDP #> 311 Q Billions of Dollars #> 312 Q Millions of Chained 2010 National Currency #> 313 Q Growth Rate Previous Period #> 314 Q Millions of Euros #> 315 A Current U.S. Dollars #> 316 Q Growth Rate Previous Period #> 317 Q Index 2015=100 #> 318 Q Millions of Euros #> 319 Q Millions of Dollars #> 320 A Millions of Dollars #> 321 A Chained 2000 National Currency Units #> 322 Q Ratio #> 323 A Billions of Dollars #> 324 A 2010 U.S. Dollars #> 325 A Growth Rate Previous Period #> 326 A Index 2015=100 #> 327 Q Billions of Dollars #> 328 Q Chained 2012 National Currency Units #> 329 Q Chained 2000 National Currency Units #> 330 Q Percentage of GDP #> 331 Q Billions of Chained 2012 Dollars #> 332 Q Millions of Chained 2010 National Currency #> 333 A Growth Rate Previous Period #> 334 Q Millions of Chained 2010 National Currency #> 335 Q Index 2015=100 #> 336 Q Percent Change from Quarter One Year Ago #> 337 A Current U.S. Dollars #> 338 A Chained 2012 National Currency Units #> 339 A Index 2015=100 #> 340 Q Chained 2007-2008 Australian Dollars #> 341 Q Millions of Euros #> 342 A Billions of Chained 2012 Dollars #> 343 Q Growth Rate Previous Period #> 344 Q Index 2012=100 #> 345 Q Growth Rate Same Period Previous Year #> 346 Q Index 2015=100 #> 347 Q Percent Change from Preceding Period #> 348 A Billions of Dollars #> 349 A Percent Change from Preceding Period #> 350 A Chained 2000 National Currency Units #> 351 A Index 2015=100 #> 352 A Growth Rate Previous Period #> 353 A Growth Rate Same Period Previous Year #> 354 A Millions of Dollars #> 355 Q Percent Change from Preceding Period #> 356 Q Billions of Chained 2012 Dollars #> 357 A Current U.S. Dollars #> 358 Q Percent Change from Preceding Period #> 359 A Percent Change from Preceding Period #> 360 Q Percentage of GDP #> 361 Q Millions of Euros #> 362 Q Percent Change from Year Ago #> 363 Q Billions of Chained 2012 Dollars #> 364 A Millions of Dollars #> 365 A Millions of Dollars #> 366 A Current U.S. Dollars #> 367 Q Millions of Dollars #> 368 A Percent #> 369 A National Currency Units per US Dollar #> 370 M Growth rate same period previous year #> 371 Q Billions of Dollars #> 372 Q Billions of Chained 2012 Dollars #> 373 A Percent Change from Preceding Period #> 374 Q Percent #> 375 Q Billions of Chained 2012 Dollars #> 376 Q Percent Change from Preceding Period #> 377 Q Millions of Chained 2010 Euros #> 378 Q Millions of Chained 2010 Euros #> 379 Q Percent Change from Quarter One Year Ago #> 380 A Billions of Chained 2012 Dollars #> 381 Q Billions of Chained 2012 Dollars #> 382 Q Billions of Chained 2012 Dollars #> 383 Q Percent Change from Quarter One Year Ago #> 384 A Billions of Chained 2012 Dollars #> 385 A Billions of Chained 2012 Dollars #> 386 A Percent Change from Preceding Period #> 387 Q Index 2012=100 #> 388 Q Percent Change from Quarter One Year Ago #> 389 Q Index 2012=100 #> 390 Q Billions of Dollars #> 391 A Millions of Dollars #> 392 A Millions of Dollars #> 393 A Millions of Dollars #> 394 A 2010 U.S. Dollars #> 395 Q Indian Rupees #> 396 Q Billions of Dollars #> 397 A Percent #> 398 Q Dollars #> 399 Q Percent of GDP #> 400 M Index 2015=100 #> 401 Q Chained 2000 National Currency Units #> 402 A Billions of Dollars #> 403 M Millions of 1938 British Pounds #> 404 Q Growth Rate Previous Period #> 405 Q National Currency #> 406 A Millions of Chained 2013 British Pounds #> 407 A Millions of Dollars #> 408 A Millions of 2011 U.S. Dollars #> 409 A Percent #> 410 A 2010 U.S. Dollars #> 411 A Millions of Dollars #> 412 A Millions of Dollars #> 413 A Millions of Dollars #> 414 A Millions of 2011 U.S. Dollars #> 415 Q Index 2012=100 #> 416 Q Growth Rate Previous Period #> 417 Q Billions of Dollars #> 418 A Dollars #> 419 Q Percent Change from Preceding Period #> 420 Q Index 2015=100 #> 421 Q Millions of Chained 2013 British Pounds #> 422 A Indian Rupees #> 423 A Growth Rate Previous Period #> 424 A Billions of Dollars #> 425 A Percent of GDP #> 426 A Growth Rate Previous Period #> 427 A Chained 2000 National Currency Units #> 428 Q Index 2015=100 #> 429 A Index 2015=100 #> 430 A National Currency #> 431 A Index 2015=100 #> 432 A Millions of Dollars #> 433 A Millions of 2011 U.S. Dollars #> 434 Q Billions of Dollars #> 435 Q Millions of Chained 2010 National Currency #> 436 Q Billions of Dollars #> 437 Q Millions of Chained 2010 Euros #> 438 A Billions of Dollars #> 439 A Billions of Dollars #> 440 A Billions of Dollars #> 441 Q Billions of Dollars #> 442 Q Millions of Chained 2010 Euros #> 443 A Millions of Dollars #> 444 A Millions of Dollars #> 445 A Percent #> 446 A Billions of Dollars #> 447 Q Percent #> 448 A Millions of Dollars #> 449 A Percent of GDP #> 450 Q Billions of Dollars #> 451 Q Billions of Dollars #> 452 Q Billions of Chained 2012 Dollars #> 453 A Percent of GDP #> 454 A Billions of Dollars #> 455 Q Millions of Chained 2010 National Currency #> 456 Q National Currency #> 457 Q Growth Rate Previous Period #> 458 A 2010 U.S. Dollars #> 459 Q Index 2012=100 #> 460 Q Percent #> 461 Q Percent of GDP #> 462 A Millions of Dollars #> 463 A Millions of Dollars #> 464 A Millions of 2011 U.S. Dollars #> 465 A Millions of Dollars #> 466 A Millions of Dollars #> 467 Q Index 2015=100 #> 468 A Current U.S. Dollars #> 469 Q Russian Ruble #> 470 Q Percent Change from Quarter One Year Ago #> 471 A Billions of Dollars #> 472 A Growth Rate Previous Period #> 473 A Billions of Dollars #> 474 Q Percent Change from Preceding Period #> 475 A Index 2015=100 #> 476 Q Millions of Dollars #> 477 A National Currency #> 478 A Billions of Chained 2012 Dollars #> 479 A Percent Change from Preceding Period #> 480 Q Billions of Chained 2012 Dollars #> 481 Q Percent Change from Quarter One Year Ago #> 482 Q Index 2012=100 #> 483 A Billions of Dollars #> 484 A Index 2012=100 #> 485 A 2010 U.S. Dollars #> 486 A Millions of 2011 U.S. Dollars #> 487 A 2010 U.S. Dollars #> 488 A Millions of 2011 U.S. Dollars #> 489 A Current U.S. Dollars #> 490 A Millions of Dollars #> 491 A Percent of GDP #> 492 Q Billions of Dollars #> 493 Q Billions of Dollars #> 494 A Percent of GDP #> 495 Q Brazilian Real #> 496 A Percent Change #> 497 A Russian Ruble #> 498 Q Chained 2000 National Currency Units #> 499 Q Percent of GDP #> 500 Q Growth Rate Previous Period #> 501 A Percent of GDP #> 502 A Billions of Dollars #> 503 A Millions of Dollars #> 504 Q Ratio #> 505 A 2010 U.S. Dollars #> 506 A Millions of Dollars #> 507 Q Billions of Dollars #> 508 A Current Dollars #> 509 A Percent of GDP #> 510 A Percent #> 511 A Fourth Quarter to Fourth Quarter Percent Change #> 512 A Current U.S. Dollars #> 513 Q Billions of Dollars #> 514 Q Millions of National Currency #> 515 Q Dollars #> 516 A Brazilian Real #> 517 Q Index 2015=100 #> 518 Q Millions of Dollars #> 519 A Billions of Dollars #> 520 A Percent of Fiscal Year GDP #> 521 A Chained 2000 National Currency Units #> 522 A Growth Rate Previous Period #> 523 A Billions of Dollars #> 524 A Index 2015=100 #> 525 A Millions of Dollars #> 526 A Percent of GDP #> 527 Q Billions of Dollars #> 528 A Millions of Dollars #> 529 A Billions of Dollars #> 530 A Millions of Dollars #> 531 Q Billions of Dollars #> 532 A Percent of GDP #> 533 A Millions of 2011 U.S. Dollars #> 534 A Millions of Dollars #> 535 A Billions of Dollars #> 536 Q Millions of Chained 2010 Euros #> 537 Q Percentage Points at Annual Rate #> 538 Q Millions of Chained 2010 Euros #> 539 Q Turkish Lira #> 540 A Current U.S. Dollars #> 541 A Dollars #> 542 Q Canadian Dollars #> 543 A Ratio #> 544 Q Millions of National Currency #> 545 Q Percentage of GDP #> 546 A Billions of Dollars #> 547 A Canadian Dollars #> 548 A Millions of Dollars #> 549 A Millions of Dollars #> 550 A Current U.S. Dollars #> 551 A Millions of Dollars #> 552 A Millions of 2011 U.S. Dollars #> 553 Q Percent #> 554 A Current U.S. Dollars #> 555 A Millions of Dollars #> 556 A Millions of Dollars #> 557 Q Percent #> 558 Q Millions of Chained 2010 National Currency #> 559 A Current U.S. Dollars #> 560 Q Millions of Chained 2010 National Currency #> 561 A Percent of GDP #> 562 Q South African Rand #> 563 Q Index 2012=100 #> 564 Q Millions of Chained 2010 Euros #> 565 A Index 2012=100 #> 566 A Percentage Points at Annual Rate #> 567 Q Millions of Chained 2010 Euros #> 568 A Turkish Lira #> 569 Q Millions of Euros #> 570 A Billions of Dollars #> 571 Q Millions of National Currency #> 572 A Current U.S. Dollars #> 573 A Current U.S. Dollars #> 574 A Millions of Dollars #> 575 Q Billions of Dollars #> 576 A Millions of Dollars #> 577 Q Millions of Dollars #> 578 A Current U.S. Dollars #> 579 A Billions of Dollars #> 580 A Millions of Dollars #> 581 A Millions of Dollars #> 582 A Current U.S. Dollars #> 583 A 2010 U.S. Dollars #> 584 M Index #> 585 A Current U.S. Dollars #> 586 A Percent of Fiscal Year GDP #> 587 Q Millions of Euros #> 588 A South African Rand #> 589 A Index 2012=100 #> 590 Q Millions of Euros #> 591 A Percent Change #> 592 Q Millions of Chained 2010 National Currency #> 593 A Percent Change #> 594 A Percent #> 595 Q Millions of Chained 2010 National Currency #> 596 Q Millions of National Currency #> 597 Q Millions of National Currency #> 598 A Percent #> 599 Q Millions of Dollars #> 600 A Millions of Dollars #> 601 Q Millions of Euros #> 602 A Millions of 2011 U.S. Dollars #> 603 A 2010 U.S. Dollars #> 604 A Millions of Dollars #> 605 Q Billions of Dollars #> 606 Q Millions of Chained 2010 Euros #> 607 A Percent #> 608 A Percent #> 609 A Percent Change From Preceding Period #> 610 A Percent of GDP #> 611 Q Percent #> 612 Q Billions of Dollars #> 613 Q Percent Change from Preceding Period #> 614 A Percent of GDP #> 615 Q Millions of Dollars #> 616 Q Millions of Euros #> 617 A Billions of Dollars #> 618 A Percent Change from Preceding Period #> 619 Q Billions of Chained 2012 Dollars #> 620 Q Millions of Dollars #> 621 A Millions of Dollars #> 622 A Millions of Dollars #> 623 Q National Currency #> 624 Q Growth Rate Previous Period #> 625 A Growth Rate Previous Period #> 626 A Current U.S. Dollars #> 627 Q Percentage of GDP #> 628 A Billions of Chained 2012 Dollars #> 629 A Millions of Dollars #> 630 Q Millions of Chained 2010 Euros #> 631 Q Billions of Dollars #> 632 M Index #> 633 A Percent #> 634 A Millions of Dollars #> 635 A Millions of Dollars #> 636 Q Billions of Dollars #> 637 Q Percent of GDP #> 638 A Billions of Dollars #> 639 A Percent #> 640 A Millions of Dollars #> 641 A Billions of Dollars #> 642 A Millions of Dollars #> 643 Q Millions of Dollars #> 644 Q Index #> 645 A Percent #> 646 A Millions of 2011 U.S. Dollars #> 647 A Millions of 2011 U.S. Dollars #> 648 A Billions of Dollars #> 649 Q Millions of Euros #> 650 Q Indonesian Rupiahs #> 651 A Percent #> 652 Q National Currency #> 653 Q Index 2015=100 #> 654 Q Millions of Chained 2012 Dollars #> 655 Q Billions of Dollars #> 656 Q Billions of Chained 2012 Dollars #> 657 Q Index 2012=100 #> 658 Q Percent Change from Quarter One Year Ago #> 659 Q Millions of Chained 2010 Euros #> 660 A Percent of Fiscal Year GDP #> 661 A National Currency #> 662 A Index 2015=100 #> 663 Q Korean Won #> 664 Q Billions of Dollars #> 665 A Korean Won #> 666 A Billions of Dollars #> 667 A Millions of Chained 2012 Dollars #> 668 Q Billions of Dollars #> 669 A Millions of 2011 U.S. Dollars #> 670 NA Fourth Quarter to Fourth Quarter Percent Change #> 671 A Millions of Dollars #> 672 A Millions of Dollars #> 673 Q Percent #> 674 A Millions of Dollars #> 675 Q Percent Change from Year Ago #> 676 Q Millions of Chained 2010 Euros #> 677 A Millions of 2011 U.S. Dollars #> 678 A Billions of Dollars #> 679 A 2010 U.S. Dollars #> 680 A Millions of Dollars #> 681 A Millions of Dollars #> 682 A Millions of 2011 U.S. Dollars #> 683 A Percent of GDP #> 684 Q Growth Rate Previous Period #> 685 Q Billions of Dollars #> 686 Q Billions of Dollars #> 687 Q Millions of Chained 2010 Euros #> 688 Q Billions of Dollars #> 689 A Indonesian Rupiahs #> 690 A Billions of Dollars #> 691 Q Index 2015=100 #> 692 A Growth Rate Previous Period #> 693 A National Currency #> 694 Q Millions of Dollars #> 695 A Billions of Dollars #> 696 A Billions of Dollars #> 697 A Index 2015=100 #> 698 A Growth Rate Previous Period #> 699 Q Billions of Dollars #> 700 Q National Currency #> 701 Q Millions of Euros #> 702 A Current U.S. Dollars #> 703 A Chained 2000 National Currency Units #> 704 A Billions of Dollars #> 705 Q Millions of Euros #> 706 Q Millions of Chained 2010 Euros #> 707 Q Percentage Points #> 708 A Percent #> 709 A Millions of Dollars #> 710 A 2011 U.S. Dollars #> 711 A Millions of Dollars #> 712 A Millions of Dollars #> 713 Q Ratio #> 714 A Millions of Dollars #> 715 A Millions of Dollars #> 716 A Percent #> 717 A Millions of Dollars #> 718 A Millions of 2011 U.S. Dollars #> 719 A Billions of Dollars #> 720 Q Growth Rate Previous Period #> 721 Q Growth Rate Same Period Previous Year #> 722 Q Millions of Chained 2010 Euros #> 723 Q Millions of Dollars #> 724 A Billions of Dollars #> 725 Q Billions of Dollars #> 726 Q Index 2015=100 #> 727 A Billions of Dollars #> 728 A Index 2015=100 #> 729 A Percent Change from Year Ago #> 730 Q Millions of Chained 2010 Euros #> 731 A Billions of Dollars #> 732 A National Currency #> 733 Q Billions of Dollars #> 734 Q Percent of GDP #> 735 A Growth Rate Same Period Previous Year #> 736 A Growth Rate Previous Period #> 737 A Index 2015=100 #> 738 A Percent of GDP #> 739 Q Billions of Dollars #> 740 A Percent #> 741 A Billions of Dollars #> 742 A Millions of Dollars #> 743 A 2010 U.S. Dollars #> 744 A Millions of Dollars #> 745 A Billions of Dollars #> 746 A Current U.S. Dollars #> 747 A Millions of Dollars #> 748 A Millions of Dollars #> 749 A Billions of Dollars #> 750 A 2010 U.S. Dollars #> 751 A Percentage Difference from Trend #> 752 A Millions of Dollars #> 753 A 2010 U.S. Dollars #> 754 A Current U.S. Dollars #> 755 A Millions of Dollars #> 756 A 2010 U.S. Dollars #> 757 A Percent of GDP #> 758 Q Ratio #> 759 A Percent of GDP #> 760 Q Millions of Chained 2010 Euros #> 761 A Ratio #> 762 Q Index 2012=100 #> 763 Q Millions of Dollars #> 764 A Billions of Dollars #> 765 Q Millions of Chained 2010 Euros #> 766 Q Millions of Euros #> 767 Q Percentage of GDP #> 768 A Percent of GDP #> 769 A Current U.S. Dollars #> 770 Q Billions of Dollars #> 771 A Index 2012=100 #> 772 A Percent of Fiscal Year GDP #> 773 A Millions of Dollars #> 774 Q Percentage Points at Annual Rate #> 775 A Millions of Dollars #> 776 A Current U.S. Dollars #> 777 A Percent of GDP #> 778 A Percent Change From Preceding Period #> 779 A Millions of Dollars #> 780 A Current U.S. Dollars #> 781 A 2010 U.S. Dollars #> 782 A Billions of Dollars #> 783 A Millions of Dollars #> 784 A Current U.S. Dollars #> 785 A Percent of Fiscal Year GDP #> 786 A Ratio #> 787 Q Billions of Chained 2012 Dollars #> 788 Q Billions of Dollars #> 789 Q Dollars #> 790 A Billions of Dollars #> 791 Q Millions of Euros #> 792 A Current U.S. Dollars #> 793 Q Percent #> 794 Q Millions of Chained 2010 National Currency #> 795 Q Billions of Chained 2012 Dollars #> 796 Q Euros #> 797 Q Billions of Dollars #> 798 A Billions of Dollars #> 799 A Euros #> 800 Q Millions of Chained 2010 National Currency #> 801 Q Billions of Dollars #> 802 Q Percent Change from Quarter One Year Ago #> 803 A Percent #> 804 A Billions of Chained 2012 Dollars #> 805 Q Percent Change from Preceding Period #> 806 A Percentage Points at Annual Rate #> 807 A Billions of Dollars #> 808 A Billions of Dollars #> 809 A Percent Change #> 810 Q Billions of Dollars #> 811 Q Percent Change from Preceding Period #> 812 Q Millions of Dollars #> 813 A Dollars #> 814 A Percent Change #> 815 A Millions of Dollars #> 816 A Percent of GDP #> 817 A Millions of Dollars #> 818 A Millions of Dollars #> 819 A Percent #> 820 Q Chained 2012 Dollars #> 821 A Percent of GDP #> 822 A Current U.S. Dollars #> 823 A Millions of Dollars #> 824 A Millions of Dollars #> 825 Q Billions of Dollars #> 826 A Percent #> 827 A Percent of GDP in U.S. Dollars #> 828 A Percent of GDP #> 829 A Percent Change from Preceding Period #> 830 A Billions of Chained 2012 Dollars #> 831 A Percent Change from Preceding Period #> 832 Q Index 2012=100 #> 833 A Billions of Dollars #> 834 Q Percent Change from Year Ago #> 835 Q Billions of Dollars #> 836 Q Billions of Dollars #> 837 Q Millions of Chained 2010 National Currency #> 838 A Percent of GDP #> 839 Q Millions of Chained 2010 Euros #> 840 Q Millions of Chained 2010 Euros #> 841 Q Millions of Chained 2010 National Currency #> 842 Q Billions of Chained 2012 Dollars #> 843 Q Percent Change from Preceding Period #> 844 A Billions of Dollars #> 845 A Percent of Fiscal Year GDP #> 846 A Percent Change from Year Ago #> 847 A Billions of Dollars #> 848 Q Percent Change from Quarter One Year Ago #> 849 A Percent Change from Preceding Period #> 850 A Billions of Chained 2012 Dollars #> 851 Q Index 2012=100 #> 852 Q Billions of Chained 2012 Dollars #> 853 Q Percent Change from Quarter One Year Ago #> 854 Q Billions of Dollars #> 855 Q Ratio #> 856 A Billions of Dollars #> 857 Q Millions of Dollars #> 858 A Percent of GDP #> 859 A Millions of Dollars #> 860 A 2011 U.S. Dollars #> 861 A Millions of Chained 2012 Dollars #> 862 A Millions of 2011 U.S. Dollars #> 863 A Percent #> 864 A Current U.S. Dollars #> 865 Q Percentage Points #> 866 A Millions of Dollars #> 867 A 2010 U.S. Dollars #> 868 A 2005 International Dollars per Person #> 869 A Millions of Dollars #> 870 A Percent #> 871 A Millions of Dollars #> 872 A Millions of Dollars #> 873 Q Ratio #> 874 A Millions of Chained 2012 Dollars #> 875 A Millions of Chained 2012 Dollars #> 876 A Millions of Dollars #> 877 A Percent #> 878 A Percent of GDP #> 879 A Percent Change from Year Ago #> 880 Q Percent of GDP #> 881 A Percent of GDP #> 882 A Percent of GDP #> 883 Q Percentage Points at Annual Rate #> 884 Q Billions of Dollars #> 885 Q Index 2012=100 #> 886 Q Billions of Dollars #> 887 Q Billions of Dollars #> 888 Q Percent #> 889 A Percent of GDP #> 890 Q Millions of National Currency #> 891 Q Millions of National Currency #> 892 Q Billions of Chained 2012 Dollars #> 893 Q Ratio #> 894 A Current U.S. Dollars #> 895 A Percentage Points at Annual Rate #> 896 A Current U.S. Dollars #> 897 Q Millions of National Currency #> 898 Q Billions of Chained 2012 Dollars #> 899 A Percent of Fiscal Year GDP #> 900 Q Percent of GDP #> 901 Q Millions of National Currency #> 902 A Billions of Dollars #> 903 Q Percent Change from Preceding Period #> 904 A Percent Change from Preceding Period #> 905 Q Percent Change from Quarter One Year Ago #> 906 A Index 2012=100 #> 907 A Billions of Dollars #> 908 A Billions of Dollars #> 909 A Percent of GDP #> 910 Q Millions of Dollars #> 911 Q Index 2012=100 #> 912 Q Percent Change from Quarter One Year Ago #> 913 A Percent #> 914 A Millions of 2011 U.S. Dollars #> 915 A Millions of Dollars #> 916 Q Billions of Dollars #> 917 Q Billions of Dollars #> 918 A National Currency Units per US Dollar #> 919 A Percent #> 920 A Millions of Dollars #> 921 A Millions of 2011 U.S. Dollars #> 922 A Percent #> 923 A Thousands of U.S. Dollars #> 924 A Percent of GDP #> 925 A Percent Change From Preceding Period #> 926 A 2010 U.S. Dollars #> 927 A Current U.S. Dollars #> 928 Q Index 2015=100 #> 929 A Percent #> 930 A Millions of Dollars #> 931 A Millions of 2011 U.S. Dollars #> 932 A Percent of GDP #> 933 A Percent of GDP #> 934 Q Billions of Dollars #> 935 A Current U.S. Dollars #> 936 Q Growth Rate Previous Period #> 937 Q Percentage of GDP #> 938 Q Index 2012=100 #> 939 Q National Currency #> 940 A Percent Change #> 941 Q Percent of GDP #> 942 Q Index 2015=100 #> 943 A Percent of GDP #> 944 Q Millions of Dollars #> 945 A Billions of Dollars #> 946 A Index 2012=100 #> 947 A Billions of Dollars #> 948 A Billions of Dollars #> 949 Q Millions of Dollars #> 950 Q Index 2012=100 #> 951 A Index 2015=100 #> 952 A Growth Rate Previous Period #> 953 A National Currency #> 954 A Index 2015=100 #> 955 Q Percent of GDP #> 956 A Percent of GDP #> 957 A Percent of GDP #> 958 A Millions of Dollars #> 959 A Current U.S. Dollars #> 960 A National Currency Units per US Dollar #> 961 Q Index #> 962 A 2011 U.S. Dollars #> 963 A 2010 U.S. Dollars #> 964 Q Billions of Dollars #> 965 Q Percent #> 966 A 2005 International Dollars per Person #> 967 A Millions of Dollars #> 968 A Percent #> 969 A Thousands #> 970 A 2010 U.S. Dollars #> 971 A Millions of 2011 U.S. Dollars #> 972 A Ratio #> 973 A 2010 U.S. Dollars #> 974 A 2010 U.S. Dollars #> 975 A Millions of 2011 U.S. Dollars #> 976 A Percent of GDP #> 977 A Percent of GDP in U.S. Dollars #> 978 A Percent of Fiscal Year GDP #> 979 A Percent #> 980 Q Billions of Dollars #> 981 Q Percent Change from Year Ago #> 982 A Percent of Nominal GDP #> 983 Q Millions of Euros #> 984 Q Chained 2000 National Currency Units #> 985 Q Chained 2012 National Currency Units #> 986 Q Growth Rate Previous Period #> 987 Q Chained 2000 National Currency Units #> 988 Q Index 2015=100 #> 989 Q Growth Rate Previous Period #> 990 A Current U.S. Dollars #> 991 Q Index 2015=100 #> 992 A Percent #> 993 Q Growth Rate Same Period Previous Year #> 994 Q Growth Rate Previous Period #> 995 A Growth Rate Previous Period #> 996 Q Growth Rate Same Period Previous Year #> 997 Q Growth Rate Previous Period #> 998 Q Chained 2000 National Currency Units #> 999 A Index 2015=100 #> 1000 Q Millions of Euros #> units_short seasonal_adjustment #> 1 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 2 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 3 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 4 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 5 % Chg. from Preceding Period Not Seasonally Adjusted #> 6 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 7 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 8 Index 2012=100 Not Seasonally Adjusted #> 9 Bil. of $ Seasonally Adjusted Annual Rate #> 10 Bil. of $ Not Seasonally Adjusted #> 11 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 12 Mil. of $ Not Seasonally Adjusted #> 13 Bil. of $ Not Seasonally Adjusted #> 14 % Chg. from Preceding Period Not Seasonally Adjusted #> 15 Index 2012=100 Not Seasonally Adjusted #> 16 % of GDP Seasonally Adjusted #> 17 Bil. of $ Seasonally Adjusted Annual Rate #> 18 Bil. of $ Not Seasonally Adjusted #> 19 Mil. of $ Not Seasonally Adjusted #> 20 Index 2012=100 Not Seasonally Adjusted #> 21 Index 2012=100 Seasonally Adjusted #> 22 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 23 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 24 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 25 Chn. 2012 $ Seasonally Adjusted Annual Rate #> 26 % Chg. from Preceding Period Not Seasonally Adjusted #> 27 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 28 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 29 % Chg. from Preceding Period Not Seasonally Adjusted #> 30 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 31 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 32 Index 2012=100 Not Seasonally Adjusted #> 33 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 34 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 35 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 36 % Not Seasonally Adjusted #> 37 Index 2012=100 Not Seasonally Adjusted #> 38 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 39 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 40 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 41 % of GDP Not Seasonally Adjusted #> 42 Bil. of $ Seasonally Adjusted Annual Rate #> 43 % Chg. from Preceding Period Not Seasonally Adjusted #> 44 Index 2012=100 Seasonally Adjusted #> 45 Ratio Not Seasonally Adjusted #> 46 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 47 Chn. 2012 $ Seasonally Adjusted Annual Rate #> 48 Index 2012=100 Not Seasonally Adjusted #> 49 Chn. 2012 $ Not Seasonally Adjusted #> 50 % of GDP Not Seasonally Adjusted #> 51 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 52 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 53 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 54 % Chg. from Preceding Period Not Seasonally Adjusted #> 55 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 56 Index 2012=100 Not Seasonally Adjusted #> 57 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 58 Bil. of $ Seasonally Adjusted Annual Rate #> 59 Bil. of $ Seasonally Adjusted Annual Rate #> 60 Bil. of $ Seasonally Adjusted Annual Rate #> 61 Current $ Not Seasonally Adjusted #> 62 Bil. of $ Not Seasonally Adjusted #> 63 Bil. of $ Seasonally Adjusted Annual Rate #> 64 Bil. of $ Not Seasonally Adjusted #> 65 Bil. of $ Not Seasonally Adjusted #> 66 Mil. of $ Not Seasonally Adjusted #> 67 Mil. of $ Not Seasonally Adjusted #> 68 Bil. of $ Seasonally Adjusted Annual Rate #> 69 % of GDP Not Seasonally Adjusted #> 70 Bil. of Chn. 2015 Yen Seasonally Adjusted #> 71 Bil. of $ Seasonally Adjusted Annual Rate #> 72 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 73 Index 2012=100 Not Seasonally Adjusted #> 74 Thous. Not Seasonally Adjusted #> 75 Thous. Not Seasonally Adjusted #> 76 % Chg. Seasonally Adjusted Annual Rate #> 77 % of GDP Not Seasonally Adjusted #> 78 Bil. of $ Not Seasonally Adjusted #> 79 Bil. of $ Not Seasonally Adjusted #> 80 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 81 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 82 % Chg. from Preceding Period Not Seasonally Adjusted #> 83 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 84 Bil. of $ Not Seasonally Adjusted #> 85 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 86 Mil. of $ Not Seasonally Adjusted #> 87 +1 or 0 Not Seasonally Adjusted #> 88 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 89 % Chg. at Annual Rate Seasonally Adjusted Annual Rate #> 90 Bil. of $ Seasonally Adjusted Annual Rate #> 91 Bil. of Yen Seasonally Adjusted #> 92 Bil. of $ Seasonally Adjusted Annual Rate #> 93 National Currency Seasonally Adjusted #> 94 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 95 % Chg. at Annual Rate Seasonally Adjusted Annual Rate #> 96 Index Seasonally Adjusted #> 97 Bil. of $ Not Seasonally Adjusted #> 98 Bil. of $ Seasonally Adjusted Annual Rate #> 99 Bil. of $ Not Seasonally Adjusted #> 100 Current $ Not Seasonally Adjusted #> 101 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 102 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 103 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 104 Growth Rate Previous Period Seasonally Adjusted #> 105 Mil. of $ Not Seasonally Adjusted #> 106 Index 2012=100 Not Seasonally Adjusted #> 107 Index 2012=100 Not Seasonally Adjusted #> 108 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 109 % Chg. from Preceding Period Not Seasonally Adjusted #> 110 % Chg. from Preceding Period Not Seasonally Adjusted #> 111 Bil. of $ Seasonally Adjusted Annual Rate #> 112 Fourth Qtr. to Fourth Qtr. % Chg. Not Seasonally Adjusted #> 113 % of GDP Not Seasonally Adjusted #> 114 Chinese Yuans Seasonally Adjusted #> 115 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 116 Index 2015=100 Seasonally Adjusted #> 117 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 118 Growth Rate Previous Period Not Seasonally Adjusted #> 119 National Currency Not Seasonally Adjusted #> 120 Index 2015=100 Not Seasonally Adjusted #> 121 % Not Seasonally Adjusted #> 122 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 123 Bil. of $ Not Seasonally Adjusted #> 124 Mil. of $ Not Seasonally Adjusted #> 125 Index 2012=100 Not Seasonally Adjusted #> 126 Bil. of $ Seasonally Adjusted Annual Rate #> 127 Bil. of $ Seasonally Adjusted Annual Rate #> 128 Percentage of GDP Not Seasonally Adjusted #> 129 Bil. of $ Seasonally Adjusted Annual Rate #> 130 Chinese Yuans Not Seasonally Adjusted #> 131 Mil. of $ Not Seasonally Adjusted #> 132 Bil. of $ Not Seasonally Adjusted #> 133 Thous. of Persons Seasonally Adjusted #> 134 Bil. of $ Seasonally Adjusted Annual Rate #> 135 % of GDP Not Seasonally Adjusted #> 136 Mil. of Chn. 2012 $ Not Seasonally Adjusted #> 137 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 138 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 139 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 140 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 141 Bil. of $ Not Seasonally Adjusted #> 142 $ Not Seasonally Adjusted #> 143 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 144 Bil. of $ Seasonally Adjusted Annual Rate #> 145 % Not Seasonally Adjusted #> 146 $ Seasonally Adjusted Annual Rate #> 147 $ Not Seasonally Adjusted #> 148 Mil. of $ Not Seasonally Adjusted #> 149 $ Seasonally Adjusted Annual Rate #> 150 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 151 Index 2012=100 Not Seasonally Adjusted #> 152 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 153 % Chg. from Preceding Period Not Seasonally Adjusted #> 154 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 155 Index 2012=100 Not Seasonally Adjusted #> 156 Ratio Not Seasonally Adjusted #> 157 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 158 Thous. of Persons Not Seasonally Adjusted #> 159 Mil. of Euros Seasonally Adjusted #> 160 Bil. of $ Seasonally Adjusted Annual Rate #> 161 Bil. of $ Not Seasonally Adjusted #> 162 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 163 Bil. of $ Seasonally Adjusted Annual Rate #> 164 Bil. of $ Not Seasonally Adjusted #> 165 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 166 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 167 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 168 Mil. of $ Not Seasonally Adjusted #> 169 Index 2012=100 Not Seasonally Adjusted #> 170 Index 2012=100 Not Seasonally Adjusted #> 171 % Chg. from Preceding Period Not Seasonally Adjusted #> 172 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 173 Bil. of $ Seasonally Adjusted Annual Rate #> 174 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 175 Bil. of $ Not Seasonally Adjusted #> 176 Chn. 2000 National Currency Units Seasonally Adjusted #> 177 % of GDP Seasonally Adjusted #> 178 Bil. of $ Seasonally Adjusted Annual Rate #> 179 Mil. of $ Not Seasonally Adjusted #> 180 Index Not Seasonally Adjusted #> 181 % of Nominal GDP Not Seasonally Adjusted #> 182 % of GDP Not Seasonally Adjusted #> 183 Growth Rate Previous Period Seasonally Adjusted #> 184 Bil. of $ Not Seasonally Adjusted #> 185 Mil. of Euros Not Seasonally Adjusted #> 186 Bil. of $ Not Seasonally Adjusted #> 187 Mil. of $ Not Seasonally Adjusted #> 188 Bil. of $ Not Seasonally Adjusted #> 189 Mil. of $ Not Seasonally Adjusted #> 190 Index 2012=100 Not Seasonally Adjusted #> 191 Index 2012=100 Not Seasonally Adjusted #> 192 % of GDP Not Seasonally Adjusted #> 193 Mil. of $ Not Seasonally Adjusted #> 194 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 195 Bil. of $ Seasonally Adjusted Annual Rate #> 196 Bil. of $ Not Seasonally Adjusted #> 197 Index 2015=100 Seasonally Adjusted #> 198 Index 2015=100 Seasonally Adjusted #> 199 Growth Rate Previous Period Not Seasonally Adjusted #> 200 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 201 Index 2015=100 Not Seasonally Adjusted #> 202 Index 2015=100 Not Seasonally Adjusted #> 203 Bil. of $ Seasonally Adjusted Annual Rate #> 204 Mil. of Pounds Seasonally Adjusted #> 205 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 206 Growth Rate Previous Period Seasonally Adjusted #> 207 Bil. of $ Not Seasonally Adjusted #> 208 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 209 % Seasonally Adjusted Annual Rate #> 210 Chn. 2012 $ Seasonally Adjusted Annual Rate #> 211 Bil. of $ Seasonally Adjusted Annual Rate #> 212 Bil. of $ Not Seasonally Adjusted #> 213 % Not Seasonally Adjusted #> 214 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 215 Mil. of $ Not Seasonally Adjusted #> 216 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 217 Index 2012=100 Not Seasonally Adjusted #> 218 Current $ Not Seasonally Adjusted #> 219 Index 2015=100 Seasonally Adjusted #> 220 Mil. of National Currency Not Seasonally Adjusted #> 221 2010 U.S. $ Not Seasonally Adjusted #> 222 Bil. of $ Not Seasonally Adjusted #> 223 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 224 Growth Rate Previous Period Not Seasonally Adjusted #> 225 Mil. of National Currency Seasonally Adjusted #> 226 Chn. 2007-2008 Australian $ Not Seasonally Adjusted #> 227 Index 2015=100 Not Seasonally Adjusted #> 228 Growth Rate Same Period Previous Yr. Not Seasonally Adjusted #> 229 % Not Seasonally Adjusted #> 230 Percentage Points Not Seasonally Adjusted #> 231 Mil. of $ Not Seasonally Adjusted #> 232 Bil. of $ Seasonally Adjusted Annual Rate #> 233 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 234 % Not Seasonally Adjusted #> 235 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 236 % Not Seasonally Adjusted #> 237 Current $ Not Seasonally Adjusted #> 238 National Currency Seasonally Adjusted #> 239 Mil. of Euros Seasonally Adjusted #> 240 Mil. of $ Not Seasonally Adjusted #> 241 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 242 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 243 Mil. of hours Not Seasonally Adjusted #> 244 Bil. of $ Seasonally Adjusted Annual Rate #> 245 % Not Seasonally Adjusted #> 246 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 247 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 248 Index 2012=100 Seasonally Adjusted #> 249 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 250 Index 2012=100 Not Seasonally Adjusted #> 251 Current $ Not Seasonally Adjusted #> 252 Growth Rate Previous Period Seasonally Adjusted #> 253 % Chg. Not Seasonally Adjusted #> 254 Mil. of Euros Not Seasonally Adjusted #> 255 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 256 % Not Seasonally Adjusted #> 257 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 258 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 259 Bil. of $ Seasonally Adjusted Annual Rate #> 260 % Seasonally Adjusted Annual Rate #> 261 Australian $ Seasonally Adjusted #> 262 Index 2015=100 Seasonally Adjusted #> 263 Growth Rate Previous Period Not Seasonally Adjusted #> 264 Mil. of $ Not Seasonally Adjusted #> 265 National Currency Not Seasonally Adjusted #> 266 Index 2015=100 Not Seasonally Adjusted #> 267 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 268 % Not Seasonally Adjusted #> 269 Index 2012=100 Not Seasonally Adjusted #> 270 % Not Seasonally Adjusted #> 271 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 272 Bil. of $ Not Seasonally Adjusted #> 273 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 274 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 275 Bil. of Chn. 2009 $ Seasonally Adjusted Annual Rate #> 276 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 277 Chn. 2000 National Currency Units Seasonally Adjusted #> 278 National Currency Seasonally Adjusted #> 279 Australian $ Not Seasonally Adjusted #> 280 Bil. of $ Not Seasonally Adjusted #> 281 % Not Seasonally Adjusted #> 282 Bil. of $ Seasonally Adjusted Annual Rate #> 283 Bil. of $ Seasonally Adjusted Annual Rate #> 284 % Not Seasonally Adjusted #> 285 Index Seasonally Adjusted #> 286 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 287 Mil. of $ Not Seasonally Adjusted #> 288 Bil. of $ Seasonally Adjusted Annual Rate #> 289 Growth Rate Previous Period Seasonally Adjusted #> 290 Index 2012=100 Not Seasonally Adjusted #> 291 Growth Rate Previous Period Seasonally Adjusted #> 292 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 293 Mil. of Chn. 2009 $ Not Seasonally Adjusted #> 294 Mil. of Chn. 2009 $ Seasonally Adjusted Annual Rate #> 295 Growth Rate Previous Period Not Seasonally Adjusted #> 296 Index 2015=100 Seasonally Adjusted #> 297 Index 2015=100 Seasonally Adjusted #> 298 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 299 National Currency Not Seasonally Adjusted #> 300 Growth Rate Previous Period Not Seasonally Adjusted #> 301 Mil. of Euros Seasonally Adjusted #> 302 Bil. of $ Seasonally Adjusted Annual Rate #> 303 Index 2015=100 Not Seasonally Adjusted #> 304 Index 2015=100 Not Seasonally Adjusted #> 305 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 306 Chn. 2000 National Currency Units Seasonally Adjusted #> 307 Mil. of Euros Seasonally Adjusted #> 308 Bil. of $ Not Seasonally Adjusted #> 309 Mil. of $ Not Seasonally Adjusted #> 310 % of GDP Not Seasonally Adjusted #> 311 Bil. of $ Seasonally Adjusted Annual Rate #> 312 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 313 Growth Rate Previous Period Seasonally Adjusted #> 314 Mil. of Euros Not Seasonally Adjusted #> 315 Current $ Not Seasonally Adjusted #> 316 Growth Rate Previous Period Seasonally Adjusted #> 317 Index 2015=100 Seasonally Adjusted #> 318 Mil. of Euros Not Seasonally Adjusted #> 319 Mil. of $ Not Seasonally Adjusted #> 320 Mil. of $ Not Seasonally Adjusted #> 321 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 322 Ratio Not Seasonally Adjusted #> 323 Bil. of $ Not Seasonally Adjusted #> 324 2010 U.S. $ Not Seasonally Adjusted #> 325 Growth Rate Previous Period Not Seasonally Adjusted #> 326 Index 2015=100 Not Seasonally Adjusted #> 327 Bil. of $ Seasonally Adjusted Annual Rate #> 328 Chn. 2012 National Currency Units Seasonally Adjusted #> 329 Chn. 2000 National Currency Units Seasonally Adjusted #> 330 Percentage of GDP Not Seasonally Adjusted #> 331 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 332 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 333 Growth Rate Previous Period Not Seasonally Adjusted #> 334 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 335 Index 2015=100 Seasonally Adjusted #> 336 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 337 Current $ Not Seasonally Adjusted #> 338 Chn. 2012 National Currency Units Not Seasonally Adjusted #> 339 Index 2015=100 Not Seasonally Adjusted #> 340 Chn. 2007-2008 Australian $ Seasonally Adjusted #> 341 Mil. of Euros Seasonally Adjusted #> 342 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 343 Growth Rate Previous Period Seasonally Adjusted #> 344 Index 2012=100 Seasonally Adjusted #> 345 Growth Rate Same Period Previous Yr. Seasonally Adjusted #> 346 Index 2015=100 Seasonally Adjusted #> 347 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 348 Bil. of $ Not Seasonally Adjusted #> 349 % Chg. from Preceding Period Not Seasonally Adjusted #> 350 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 351 Index 2015=100 Not Seasonally Adjusted #> 352 Growth Rate Previous Period Not Seasonally Adjusted #> 353 Growth Rate Same Period Previous Yr. Not Seasonally Adjusted #> 354 Mil. of $ Not Seasonally Adjusted #> 355 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 356 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 357 Current $ Not Seasonally Adjusted #> 358 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 359 % Chg. from Preceding Period Not Seasonally Adjusted #> 360 Percentage of GDP Not Seasonally Adjusted #> 361 Mil. of Euros Not Seasonally Adjusted #> 362 % Chg. from Yr. Ago Seasonally Adjusted #> 363 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 364 Mil. of $ Not Seasonally Adjusted #> 365 Mil. of $ Not Seasonally Adjusted #> 366 Current $ Not Seasonally Adjusted #> 367 Mil. of $ Seasonally Adjusted Annual Rate #> 368 % Not Seasonally Adjusted #> 369 National Currency Units per US $ Not Seasonally Adjusted #> 370 Growth rate same period previous Yr. Seasonally Adjusted #> 371 Bil. of $ Seasonally Adjusted Annual Rate #> 372 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 373 % Chg. from Preceding Period Not Seasonally Adjusted #> 374 % Not Seasonally Adjusted #> 375 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 376 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 377 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 378 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 379 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 380 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 381 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 382 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 383 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 384 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 385 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 386 % Chg. from Preceding Period Not Seasonally Adjusted #> 387 Index 2012=100 Not Seasonally Adjusted #> 388 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 389 Index 2012=100 Not Seasonally Adjusted #> 390 Bil. of $ Seasonally Adjusted Annual Rate #> 391 Mil. of $ Not Seasonally Adjusted #> 392 Mil. of $ Not Seasonally Adjusted #> 393 Mil. of $ Not Seasonally Adjusted #> 394 2010 U.S. $ Not Seasonally Adjusted #> 395 Indian Rupees Seasonally Adjusted #> 396 Bil. of $ Seasonally Adjusted Annual Rate #> 397 % Not Seasonally Adjusted #> 398 $ Seasonally Adjusted Annual Rate #> 399 % of GDP Seasonally Adjusted #> 400 Index 2015=100 Seasonally Adjusted #> 401 Chn. 2000 National Currency Units Seasonally Adjusted #> 402 Bil. of $ Not Seasonally Adjusted #> 403 Mil. of 1938 British Pounds Seasonally Adjusted #> 404 Growth Rate Previous Period Seasonally Adjusted #> 405 National Currency Seasonally Adjusted #> 406 Mil. of Chn. 2013 British Pounds Not Seasonally Adjusted #> 407 Mil. of $ Not Seasonally Adjusted #> 408 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 409 % Not Seasonally Adjusted #> 410 2010 U.S. $ Not Seasonally Adjusted #> 411 Mil. of $ Not Seasonally Adjusted #> 412 Mil. of $ Not Seasonally Adjusted #> 413 Mil. of $ Not Seasonally Adjusted #> 414 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 415 Index 2012=100 Seasonally Adjusted #> 416 Growth Rate Previous Period Seasonally Adjusted #> 417 Bil. of $ Seasonally Adjusted Annual Rate #> 418 $ Not Seasonally Adjusted #> 419 % Chg. from Preceding Period Seasonally Adjusted #> 420 Index 2015=100 Seasonally Adjusted #> 421 Mil. of Chn. 2013 British Pounds Seasonally Adjusted #> 422 Indian Rupees Not Seasonally Adjusted #> 423 Growth Rate Previous Period Not Seasonally Adjusted #> 424 Bil. of $ Not Seasonally Adjusted #> 425 % of GDP Not Seasonally Adjusted #> 426 Growth Rate Previous Period Not Seasonally Adjusted #> 427 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 428 Index 2015=100 Seasonally Adjusted #> 429 Index 2015=100 Not Seasonally Adjusted #> 430 National Currency Not Seasonally Adjusted #> 431 Index 2015=100 Not Seasonally Adjusted #> 432 Mil. of $ Not Seasonally Adjusted #> 433 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 434 Bil. of $ Seasonally Adjusted Annual Rate #> 435 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 436 Bil. of $ Seasonally Adjusted Annual Rate #> 437 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 438 Bil. of $ Not Seasonally Adjusted #> 439 Bil. of $ Not Seasonally Adjusted #> 440 Bil. of $ Not Seasonally Adjusted #> 441 Bil. of $ Seasonally Adjusted Annual Rate #> 442 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 443 Mil. of $ Not Seasonally Adjusted #> 444 Mil. of $ Not Seasonally Adjusted #> 445 % Not Seasonally Adjusted #> 446 Bil. of $ Not Seasonally Adjusted #> 447 % Not Seasonally Adjusted #> 448 Mil. of $ Not Seasonally Adjusted #> 449 % of GDP Not Seasonally Adjusted #> 450 Bil. of $ Seasonally Adjusted Annual Rate #> 451 Bil. of $ Seasonally Adjusted Annual Rate #> 452 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 453 % of GDP Not Seasonally Adjusted #> 454 Bil. of $ Not Seasonally Adjusted #> 455 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 456 National Currency Seasonally Adjusted #> 457 Growth Rate Previous Period Seasonally Adjusted #> 458 2010 U.S. $ Not Seasonally Adjusted #> 459 Index 2012=100 Seasonally Adjusted #> 460 % Not Seasonally Adjusted #> 461 % of GDP Seasonally Adjusted #> 462 Mil. of $ Not Seasonally Adjusted #> 463 Mil. of $ Not Seasonally Adjusted #> 464 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 465 Mil. of $ Not Seasonally Adjusted #> 466 Mil. of $ Not Seasonally Adjusted #> 467 Index 2015=100 Seasonally Adjusted #> 468 Current $ Not Seasonally Adjusted #> 469 Russian Ruble Seasonally Adjusted #> 470 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 471 Bil. of $ Not Seasonally Adjusted #> 472 Growth Rate Previous Period Not Seasonally Adjusted #> 473 Bil. of $ Not Seasonally Adjusted #> 474 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 475 Index 2015=100 Not Seasonally Adjusted #> 476 Mil. of $ Not Seasonally Adjusted #> 477 National Currency Not Seasonally Adjusted #> 478 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 479 % Chg. from Preceding Period Not Seasonally Adjusted #> 480 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 481 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 482 Index 2012=100 Not Seasonally Adjusted #> 483 Bil. of $ Not Seasonally Adjusted #> 484 Index 2012=100 Not Seasonally Adjusted #> 485 2010 U.S. $ Not Seasonally Adjusted #> 486 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 487 2010 U.S. $ Not Seasonally Adjusted #> 488 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 489 Current $ Not Seasonally Adjusted #> 490 Mil. of $ Not Seasonally Adjusted #> 491 % of GDP Not Seasonally Adjusted #> 492 Bil. of $ Seasonally Adjusted Annual Rate #> 493 Bil. of $ Seasonally Adjusted Annual Rate #> 494 % of GDP Not Seasonally Adjusted #> 495 Brazilian Real Seasonally Adjusted #> 496 % Chg. Not Seasonally Adjusted #> 497 Russian Ruble Not Seasonally Adjusted #> 498 Chn. 2000 National Currency Units Seasonally Adjusted #> 499 % of GDP Seasonally Adjusted #> 500 Growth Rate Previous Period Seasonally Adjusted #> 501 % of GDP Not Seasonally Adjusted #> 502 Bil. of $ Not Seasonally Adjusted #> 503 Mil. of $ Not Seasonally Adjusted #> 504 Ratio Not Seasonally Adjusted #> 505 2010 U.S. $ Not Seasonally Adjusted #> 506 Mil. of $ Not Seasonally Adjusted #> 507 Bil. of $ Seasonally Adjusted Annual Rate #> 508 Current $ Not Seasonally Adjusted #> 509 % of GDP Not Seasonally Adjusted #> 510 % Not Seasonally Adjusted #> 511 Fourth Qtr. to Fourth Qtr. % Chg. Not Seasonally Adjusted #> 512 Current $ Not Seasonally Adjusted #> 513 Bil. of $ Seasonally Adjusted Annual Rate #> 514 Mil. of National Currency Seasonally Adjusted #> 515 $ Seasonally Adjusted Annual Rate #> 516 Brazilian Real Not Seasonally Adjusted #> 517 Index 2015=100 Seasonally Adjusted #> 518 Mil. of $ Not Seasonally Adjusted #> 519 Bil. of $ Not Seasonally Adjusted #> 520 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 521 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 522 Growth Rate Previous Period Not Seasonally Adjusted #> 523 Bil. of $ Not Seasonally Adjusted #> 524 Index 2015=100 Not Seasonally Adjusted #> 525 Mil. of $ Not Seasonally Adjusted #> 526 % of GDP Not Seasonally Adjusted #> 527 Bil. of $ Seasonally Adjusted Annual Rate #> 528 Mil. of $ Not Seasonally Adjusted #> 529 Bil. of $ Not Seasonally Adjusted #> 530 Mil. of $ Not Seasonally Adjusted #> 531 Bil. of $ Seasonally Adjusted Annual Rate #> 532 % of GDP Not Seasonally Adjusted #> 533 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 534 Mil. of $ Not Seasonally Adjusted #> 535 Bil. of $ Not Seasonally Adjusted #> 536 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 537 Percentage Points at Annual Rate Seasonally Adjusted Annual Rate #> 538 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 539 Turkish Lira Seasonally Adjusted #> 540 Current $ Not Seasonally Adjusted #> 541 $ Not Seasonally Adjusted #> 542 Canadian $ Seasonally Adjusted #> 543 Ratio Not Seasonally Adjusted #> 544 Mil. of National Currency Not Seasonally Adjusted #> 545 Percentage of GDP Not Seasonally Adjusted #> 546 Bil. of $ Not Seasonally Adjusted #> 547 Canadian $ Not Seasonally Adjusted #> 548 Mil. of $ Not Seasonally Adjusted #> 549 Mil. of $ Not Seasonally Adjusted #> 550 Current $ Not Seasonally Adjusted #> 551 Mil. of $ Not Seasonally Adjusted #> 552 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 553 % Not Seasonally Adjusted #> 554 Current $ Not Seasonally Adjusted #> 555 Mil. of $ Not Seasonally Adjusted #> 556 Mil. of $ Not Seasonally Adjusted #> 557 % Not Seasonally Adjusted #> 558 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 559 Current $ Not Seasonally Adjusted #> 560 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 561 % of GDP Not Seasonally Adjusted #> 562 South African Rand Seasonally Adjusted #> 563 Index 2012=100 Seasonally Adjusted #> 564 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 565 Index 2012=100 Not Seasonally Adjusted #> 566 Percentage Points at Annual Rate Not Seasonally Adjusted #> 567 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 568 Turkish Lira Not Seasonally Adjusted #> 569 Mil. of Euros Seasonally Adjusted #> 570 Bil. of $ Not Seasonally Adjusted #> 571 Mil. of National Currency Seasonally Adjusted #> 572 Current $ Not Seasonally Adjusted #> 573 Current $ Not Seasonally Adjusted #> 574 Mil. of $ Not Seasonally Adjusted #> 575 Bil. of $ Seasonally Adjusted Annual Rate #> 576 Mil. of $ Not Seasonally Adjusted #> 577 Mil. of $ Seasonally Adjusted Annual Rate #> 578 Current $ Not Seasonally Adjusted #> 579 Bil. of $ Not Seasonally Adjusted #> 580 Mil. of $ Not Seasonally Adjusted #> 581 Mil. of $ Not Seasonally Adjusted #> 582 Current $ Not Seasonally Adjusted #> 583 2010 U.S. $ Not Seasonally Adjusted #> 584 Index Seasonally Adjusted #> 585 Current $ Not Seasonally Adjusted #> 586 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 587 Mil. of Euros Not Seasonally Adjusted #> 588 South African Rand Not Seasonally Adjusted #> 589 Index 2012=100 Not Seasonally Adjusted #> 590 Mil. of Euros Seasonally Adjusted #> 591 % Chg. Not Seasonally Adjusted #> 592 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 593 % Chg. Not Seasonally Adjusted #> 594 % Not Seasonally Adjusted #> 595 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 596 Mil. of National Currency Not Seasonally Adjusted #> 597 Mil. of National Currency Seasonally Adjusted #> 598 % Not Seasonally Adjusted #> 599 Mil. of $ Seasonally Adjusted Annual Rate #> 600 Mil. of $ Seasonally Adjusted #> 601 Mil. of Euros Not Seasonally Adjusted #> 602 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 603 2010 U.S. $ Not Seasonally Adjusted #> 604 Mil. of $ Not Seasonally Adjusted #> 605 Bil. of $ Seasonally Adjusted Annual Rate #> 606 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 607 % Not Seasonally Adjusted #> 608 % Not Seasonally Adjusted #> 609 % Chg. From Preceding Period Not Seasonally Adjusted #> 610 % of GDP Not Seasonally Adjusted #> 611 % Seasonally Adjusted Annual Rate #> 612 Bil. of $ Seasonally Adjusted Annual Rate #> 613 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 614 % of GDP Not Seasonally Adjusted #> 615 Mil. of $ Seasonally Adjusted #> 616 Mil. of Euros Seasonally Adjusted #> 617 Bil. of $ Not Seasonally Adjusted #> 618 % Chg. from Preceding Period Not Seasonally Adjusted #> 619 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 620 Mil. of $ Not Seasonally Adjusted #> 621 Mil. of $ Not Seasonally Adjusted #> 622 Mil. of $ Not Seasonally Adjusted #> 623 National Currency Seasonally Adjusted #> 624 Growth Rate Previous Period Seasonally Adjusted #> 625 Growth Rate Previous Period Not Seasonally Adjusted #> 626 Current $ Not Seasonally Adjusted #> 627 Percentage of GDP Not Seasonally Adjusted #> 628 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 629 Mil. of $ Not Seasonally Adjusted #> 630 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 631 Bil. of $ Seasonally Adjusted Annual Rate #> 632 Index Seasonally Adjusted #> 633 % Not Seasonally Adjusted #> 634 Mil. of $ Not Seasonally Adjusted #> 635 Mil. of $ Not Seasonally Adjusted #> 636 Bil. of $ Seasonally Adjusted Annual Rate #> 637 % of GDP Seasonally Adjusted #> 638 Bil. of $ Not Seasonally Adjusted #> 639 % Not Seasonally Adjusted #> 640 Mil. of $ Not Seasonally Adjusted #> 641 Bil. of $ Not Seasonally Adjusted #> 642 Mil. of $ Not Seasonally Adjusted #> 643 Mil. of $ Seasonally Adjusted Annual Rate #> 644 Index Not Seasonally Adjusted #> 645 % Not Seasonally Adjusted #> 646 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 647 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 648 Bil. of $ Not Seasonally Adjusted #> 649 Mil. of Euros Not Seasonally Adjusted #> 650 Indonesian Rupiahs Seasonally Adjusted #> 651 % Not Seasonally Adjusted #> 652 National Currency Seasonally Adjusted #> 653 Index 2015=100 Seasonally Adjusted #> 654 Mil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 655 Bil. of $ Seasonally Adjusted Annual Rate #> 656 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 657 Index 2012=100 Not Seasonally Adjusted #> 658 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 659 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 660 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 661 National Currency Not Seasonally Adjusted #> 662 Index 2015=100 Not Seasonally Adjusted #> 663 Korean Won Seasonally Adjusted #> 664 Bil. of $ Seasonally Adjusted Annual Rate #> 665 Korean Won Not Seasonally Adjusted #> 666 Bil. of $ Not Seasonally Adjusted #> 667 Mil. of Chn. 2012 $ Not Seasonally Adjusted #> 668 Bil. of $ Seasonally Adjusted Annual Rate #> 669 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 670 Fourth Qtr. to Fourth Qtr. % Chg. Not Seasonally Adjusted #> 671 Mil. of $ Not Seasonally Adjusted #> 672 Mil. of $ Not Seasonally Adjusted #> 673 % Not Seasonally Adjusted #> 674 Mil. of $ Not Seasonally Adjusted #> 675 % Chg. from Yr. Ago Seasonally Adjusted #> 676 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 677 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 678 Bil. of $ Not Seasonally Adjusted #> 679 2010 U.S. $ Not Seasonally Adjusted #> 680 Mil. of $ Not Seasonally Adjusted #> 681 Mil. of $ Not Seasonally Adjusted #> 682 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 683 % of GDP Not Seasonally Adjusted #> 684 Growth Rate Previous Period Seasonally Adjusted #> 685 Bil. of $ Seasonally Adjusted Annual Rate #> 686 Bil. of $ Seasonally Adjusted Annual Rate #> 687 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 688 Bil. of $ Seasonally Adjusted Annual Rate #> 689 Indonesian Rupiahs Not Seasonally Adjusted #> 690 Bil. of $ Not Seasonally Adjusted #> 691 Index 2015=100 Seasonally Adjusted #> 692 Growth Rate Previous Period Not Seasonally Adjusted #> 693 National Currency Not Seasonally Adjusted #> 694 Mil. of $ Not Seasonally Adjusted #> 695 Bil. of $ Not Seasonally Adjusted #> 696 Bil. of $ Not Seasonally Adjusted #> 697 Index 2015=100 Not Seasonally Adjusted #> 698 Growth Rate Previous Period Not Seasonally Adjusted #> 699 Bil. of $ Not Seasonally Adjusted #> 700 National Currency Seasonally Adjusted #> 701 Mil. of Euros Seasonally Adjusted #> 702 Current $ Not Seasonally Adjusted #> 703 Chn. 2000 National Currency Units Not Seasonally Adjusted #> 704 Bil. of $ Not Seasonally Adjusted #> 705 Mil. of Euros Not Seasonally Adjusted #> 706 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 707 Percentage Points Seasonally Adjusted #> 708 % Not Seasonally Adjusted #> 709 Mil. of $ Not Seasonally Adjusted #> 710 2011 U.S. $ Not Seasonally Adjusted #> 711 Mil. of $ Not Seasonally Adjusted #> 712 Mil. of $ Not Seasonally Adjusted #> 713 Ratio Not Seasonally Adjusted #> 714 Mil. of $ Not Seasonally Adjusted #> 715 Mil. of $ Not Seasonally Adjusted #> 716 % Not Seasonally Adjusted #> 717 Mil. of $ Not Seasonally Adjusted #> 718 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 719 Bil. of $ Not Seasonally Adjusted #> 720 Growth Rate Previous Period Seasonally Adjusted #> 721 Growth Rate Same Period Previous Yr. Seasonally Adjusted #> 722 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 723 Mil. of $ Not Seasonally Adjusted #> 724 Bil. of $ Not Seasonally Adjusted #> 725 Bil. of $ Seasonally Adjusted Annual Rate #> 726 Index 2015=100 Seasonally Adjusted #> 727 Bil. of $ Not Seasonally Adjusted #> 728 Index 2015=100 Not Seasonally Adjusted #> 729 % Chg. from Yr. Ago Not Seasonally Adjusted #> 730 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 731 Bil. of $ Not Seasonally Adjusted #> 732 National Currency Not Seasonally Adjusted #> 733 Bil. of $ Seasonally Adjusted Annual Rate #> 734 % of GDP Seasonally Adjusted #> 735 Growth Rate Same Period Previous Yr. Not Seasonally Adjusted #> 736 Growth Rate Previous Period Not Seasonally Adjusted #> 737 Index 2015=100 Not Seasonally Adjusted #> 738 % of GDP Not Seasonally Adjusted #> 739 Bil. of $ Seasonally Adjusted Annual Rate #> 740 % Not Seasonally Adjusted #> 741 Bil. of $ Not Seasonally Adjusted #> 742 Mil. of $ Not Seasonally Adjusted #> 743 2010 U.S. $ Not Seasonally Adjusted #> 744 Mil. of $ Not Seasonally Adjusted #> 745 Bil. of $ Not Seasonally Adjusted #> 746 Current $ Not Seasonally Adjusted #> 747 Mil. of $ Not Seasonally Adjusted #> 748 Mil. of $ Not Seasonally Adjusted #> 749 Bil. of $ Not Seasonally Adjusted #> 750 2010 U.S. $ Not Seasonally Adjusted #> 751 Percentage Difference from Trend Not Seasonally Adjusted #> 752 Mil. of $ Not Seasonally Adjusted #> 753 2010 U.S. $ Not Seasonally Adjusted #> 754 Current $ Not Seasonally Adjusted #> 755 Mil. of $ Not Seasonally Adjusted #> 756 2010 U.S. $ Not Seasonally Adjusted #> 757 % of GDP Not Seasonally Adjusted #> 758 Ratio Not Seasonally Adjusted #> 759 % of GDP Not Seasonally Adjusted #> 760 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 761 Ratio Not Seasonally Adjusted #> 762 Index 2012=100 Seasonally Adjusted #> 763 Mil. of $ Not Seasonally Adjusted #> 764 Bil. of $ Not Seasonally Adjusted #> 765 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 766 Mil. of Euros Seasonally Adjusted #> 767 Percentage of GDP Not Seasonally Adjusted #> 768 % of GDP Not Seasonally Adjusted #> 769 Current $ Not Seasonally Adjusted #> 770 Bil. of $ Seasonally Adjusted Annual Rate #> 771 Index 2012=100 Not Seasonally Adjusted #> 772 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 773 Mil. of $ Not Seasonally Adjusted #> 774 Percentage Points at Annual Rate Seasonally Adjusted Annual Rate #> 775 Mil. of $ Not Seasonally Adjusted #> 776 Current $ Not Seasonally Adjusted #> 777 % of GDP Not Seasonally Adjusted #> 778 % Chg. From Preceding Period Not Seasonally Adjusted #> 779 Mil. of $ Not Seasonally Adjusted #> 780 Current $ Not Seasonally Adjusted #> 781 2010 U.S. $ Not Seasonally Adjusted #> 782 Bil. of $ Not Seasonally Adjusted #> 783 Mil. of $ Not Seasonally Adjusted #> 784 Current $ Not Seasonally Adjusted #> 785 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 786 Ratio Not Seasonally Adjusted #> 787 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 788 Bil. of $ Seasonally Adjusted Annual Rate #> 789 $ Seasonally Adjusted #> 790 Bil. of $ Not Seasonally Adjusted #> 791 Mil. of Euros Not Seasonally Adjusted #> 792 Current $ Not Seasonally Adjusted #> 793 % Not Seasonally Adjusted #> 794 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 795 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 796 Euros Seasonally Adjusted #> 797 Bil. of $ Seasonally Adjusted Annual Rate #> 798 Bil. of $ Not Seasonally Adjusted #> 799 Euros Not Seasonally Adjusted #> 800 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 801 Bil. of $ Seasonally Adjusted Annual Rate #> 802 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 803 % Not Seasonally Adjusted #> 804 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 805 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 806 Percentage Points at Annual Rate Not Seasonally Adjusted #> 807 Bil. of $ Not Seasonally Adjusted #> 808 Bil. of $ Not Seasonally Adjusted #> 809 % Chg. Not Seasonally Adjusted #> 810 Bil. of $ Seasonally Adjusted Annual Rate #> 811 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 812 Mil. of $ Not Seasonally Adjusted #> 813 $ Not Seasonally Adjusted #> 814 % Chg. Not Seasonally Adjusted #> 815 Mil. of $ Not Seasonally Adjusted #> 816 % of GDP Not Seasonally Adjusted #> 817 Mil. of $ Not Seasonally Adjusted #> 818 Mil. of $ Not Seasonally Adjusted #> 819 % Not Seasonally Adjusted #> 820 Chn. 2012 $ Seasonally Adjusted Annual Rate #> 821 % of GDP Not Seasonally Adjusted #> 822 Current $ Not Seasonally Adjusted #> 823 Mil. of $ Not Seasonally Adjusted #> 824 Mil. of $ Not Seasonally Adjusted #> 825 Bil. of $ Seasonally Adjusted Annual Rate #> 826 % Not Seasonally Adjusted #> 827 % of GDP in U.S. $ Not Seasonally Adjusted #> 828 % of GDP Not Seasonally Adjusted #> 829 % Chg. from Preceding Period Not Seasonally Adjusted #> 830 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 831 % Chg. from Preceding Period Not Seasonally Adjusted #> 832 Index 2012=100 Not Seasonally Adjusted #> 833 Bil. of $ Not Seasonally Adjusted #> 834 % Chg. from Yr. Ago Seasonally Adjusted #> 835 Bil. of $ Seasonally Adjusted Annual Rate #> 836 Bil. of $ Seasonally Adjusted Annual Rate #> 837 Mil. of Chn. 2010 National Currency Seasonally Adjusted #> 838 % of GDP Not Seasonally Adjusted #> 839 Mil. of Chn. 2010 Euros Not Seasonally Adjusted #> 840 Mil. of Chn. 2010 Euros Seasonally Adjusted #> 841 Mil. of Chn. 2010 National Currency Not Seasonally Adjusted #> 842 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 843 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 844 Bil. of $ Not Seasonally Adjusted #> 845 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 846 % Chg. from Yr. Ago Not Seasonally Adjusted #> 847 Bil. of $ Not Seasonally Adjusted #> 848 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 849 % Chg. from Preceding Period Not Seasonally Adjusted #> 850 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 851 Index 2012=100 Not Seasonally Adjusted #> 852 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 853 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 854 Bil. of $ Seasonally Adjusted Annual Rate #> 855 Ratio Not Seasonally Adjusted #> 856 Bil. of $ Not Seasonally Adjusted #> 857 Mil. of $ Seasonally Adjusted Annual Rate #> 858 % of GDP Not Seasonally Adjusted #> 859 Mil. of $ Not Seasonally Adjusted #> 860 2011 U.S. $ Not Seasonally Adjusted #> 861 Mil. of Chn. 2012 $ Not Seasonally Adjusted #> 862 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 863 % Not Seasonally Adjusted #> 864 Current $ Not Seasonally Adjusted #> 865 Percentage Points Seasonally Adjusted Annual Rate #> 866 Mil. of $ Not Seasonally Adjusted #> 867 2010 U.S. $ Not Seasonally Adjusted #> 868 2005 International $ per Person Not Seasonally Adjusted #> 869 Mil. of $ Not Seasonally Adjusted #> 870 % Not Seasonally Adjusted #> 871 Mil. of $ Not Seasonally Adjusted #> 872 Mil. of $ Not Seasonally Adjusted #> 873 Ratio Not Seasonally Adjusted #> 874 Mil. of Chn. 2012 $ Not Seasonally Adjusted #> 875 Mil. of Chn. 2012 $ Not Seasonally Adjusted #> 876 Mil. of $ Not Seasonally Adjusted #> 877 % Not Seasonally Adjusted #> 878 % of GDP Not Seasonally Adjusted #> 879 % Chg. from Yr. Ago Not Seasonally Adjusted #> 880 % of GDP Seasonally Adjusted #> 881 % of GDP Not Seasonally Adjusted #> 882 % of GDP Not Seasonally Adjusted #> 883 Percentage Points at Annual Rate Seasonally Adjusted Annual Rate #> 884 Bil. of $ Seasonally Adjusted Annual Rate #> 885 Index 2012=100 Seasonally Adjusted #> 886 Bil. of $ Seasonally Adjusted Annual Rate #> 887 Bil. of $ Seasonally Adjusted Annual Rate #> 888 % Seasonally Adjusted #> 889 % of GDP Not Seasonally Adjusted #> 890 Mil. of National Currency Seasonally Adjusted #> 891 Mil. of National Currency Seasonally Adjusted #> 892 Bil. of Chn. 2012 $ Seasonally Adjusted Annual Rate #> 893 Ratio Seasonally Adjusted #> 894 Current $ Not Seasonally Adjusted #> 895 Percentage Points at Annual Rate Not Seasonally Adjusted #> 896 Current $ Not Seasonally Adjusted #> 897 Mil. of National Currency Not Seasonally Adjusted #> 898 Bil. of Chn. 2012 $ Not Seasonally Adjusted #> 899 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 900 % of GDP Seasonally Adjusted #> 901 Mil. of National Currency Not Seasonally Adjusted #> 902 Bil. of $ Not Seasonally Adjusted #> 903 % Chg. from Preceding Period Seasonally Adjusted Annual Rate #> 904 % Chg. from Preceding Period Not Seasonally Adjusted #> 905 % Chg. from Qtr. 1 Yr. Ago Seasonally Adjusted #> 906 Index 2012=100 Not Seasonally Adjusted #> 907 Bil. of $ Not Seasonally Adjusted #> 908 Bil. of $ Not Seasonally Adjusted #> 909 % of GDP Not Seasonally Adjusted #> 910 Mil. of $ Not Seasonally Adjusted #> 911 Index 2012=100 Not Seasonally Adjusted #> 912 % Chg. from Qtr. 1 Yr. Ago Not Seasonally Adjusted #> 913 % Not Seasonally Adjusted #> 914 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 915 Mil. of $ Not Seasonally Adjusted #> 916 Bil. of $ Seasonally Adjusted Annual Rate #> 917 Bil. of $ Seasonally Adjusted Annual Rate #> 918 National Currency Units per US $ Not Seasonally Adjusted #> 919 % Not Seasonally Adjusted #> 920 Mil. of $ Not Seasonally Adjusted #> 921 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 922 % Not Seasonally Adjusted #> 923 Thous. of U.S. $ Not Seasonally Adjusted #> 924 % of GDP Not Seasonally Adjusted #> 925 % Chg. From Preceding Period Not Seasonally Adjusted #> 926 2010 U.S. $ Not Seasonally Adjusted #> 927 Current $ Not Seasonally Adjusted #> 928 Index 2015=100 Seasonally Adjusted #> 929 % Not Seasonally Adjusted #> 930 Mil. of $ Not Seasonally Adjusted #> 931 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 932 % of GDP Not Seasonally Adjusted #> 933 % of GDP Not Seasonally Adjusted #> 934 Bil. of $ Seasonally Adjusted Annual Rate #> 935 Current $ Not Seasonally Adjusted #> 936 Growth Rate Previous Period Seasonally Adjusted #> 937 Percentage of GDP Not Seasonally Adjusted #> 938 Index 2012=100 Seasonally Adjusted #> 939 National Currency Seasonally Adjusted #> 940 % Chg. Not Seasonally Adjusted #> 941 % of GDP Seasonally Adjusted #> 942 Index 2015=100 Seasonally Adjusted #> 943 % of GDP Not Seasonally Adjusted #> 944 Mil. of $ Not Seasonally Adjusted #> 945 Bil. of $ Not Seasonally Adjusted #> 946 Index 2012=100 Not Seasonally Adjusted #> 947 Bil. of $ Not Seasonally Adjusted #> 948 Bil. of $ Not Seasonally Adjusted #> 949 Mil. of $ Not Seasonally Adjusted #> 950 Index 2012=100 Not Seasonally Adjusted #> 951 Index 2015=100 Not Seasonally Adjusted #> 952 Growth Rate Previous Period Not Seasonally Adjusted #> 953 National Currency Not Seasonally Adjusted #> 954 Index 2015=100 Not Seasonally Adjusted #> 955 % of GDP Seasonally Adjusted #> 956 % of GDP Not Seasonally Adjusted #> 957 % of GDP Not Seasonally Adjusted #> 958 Mil. of $ Not Seasonally Adjusted #> 959 Current $ Not Seasonally Adjusted #> 960 National Currency Units per US $ Not Seasonally Adjusted #> 961 Index Seasonally Adjusted #> 962 2011 U.S. $ Not Seasonally Adjusted #> 963 2010 U.S. $ Not Seasonally Adjusted #> 964 Bil. of $ Seasonally Adjusted Annual Rate #> 965 % Not Seasonally Adjusted #> 966 2005 International $ per Person Not Seasonally Adjusted #> 967 Mil. of $ Not Seasonally Adjusted #> 968 % Not Seasonally Adjusted #> 969 Thous. Not Seasonally Adjusted #> 970 2010 U.S. $ Not Seasonally Adjusted #> 971 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 972 Ratio Not Seasonally Adjusted #> 973 2010 U.S. $ Not Seasonally Adjusted #> 974 2010 U.S. $ Not Seasonally Adjusted #> 975 Mil. of 2011 U.S. $ Not Seasonally Adjusted #> 976 % of GDP Not Seasonally Adjusted #> 977 % of GDP in U.S. $ Not Seasonally Adjusted #> 978 % of Fiscal Yr. GDP Not Seasonally Adjusted #> 979 % Not Seasonally Adjusted #> 980 Bil. of $ Seasonally Adjusted Annual Rate #> 981 % Chg. from Yr. Ago Seasonally Adjusted #> 982 % of Nominal GDP Not Seasonally Adjusted #> 983 Mil. of Euros Seasonally Adjusted #> 984 Chn. 2000 National Currency Units Seasonally Adjusted #> 985 Chn. 2012 National Currency Units Seasonally Adjusted #> 986 Growth Rate Previous Period Seasonally Adjusted #> 987 Chn. 2000 National Currency Units Seasonally Adjusted #> 988 Index 2015=100 Seasonally Adjusted #> 989 Growth Rate Previous Period Seasonally Adjusted #> 990 Current $ Not Seasonally Adjusted #> 991 Index 2015=100 Seasonally Adjusted #> 992 % Not Seasonally Adjusted #> 993 Growth Rate Same Period Previous Yr. Seasonally Adjusted #> 994 Growth Rate Previous Period Seasonally Adjusted #> 995 Growth Rate Previous Period Not Seasonally Adjusted #> 996 Growth Rate Same Period Previous Yr. Seasonally Adjusted #> 997 Growth Rate Previous Period Seasonally Adjusted #> 998 Chn. 2000 National Currency Units Seasonally Adjusted #> 999 Index 2015=100 Not Seasonally Adjusted #> 1000 Mil. of Euros Not Seasonally Adjusted #> seasonal_adjustment_short last_updated popularity #> 1 SAAR 2020-11-25 07:53:02-06 97 #> 2 SAAR 2020-10-29 07:52:51-05 89 #> 3 NSA 2020-07-30 07:56:18-05 66 #> 4 SA 2020-10-29 07:53:05-05 60 #> 5 NSA 2020-07-30 07:56:35-05 58 #> 6 NSA 2020-11-25 07:52:00-06 53 #> 7 NSA 2020-11-25 07:53:10-06 43 #> 8 NSA 2020-11-25 07:52:18-06 39 #> 9 SAAR 2020-11-25 07:51:02-06 96 #> 10 NSA 2020-07-30 07:56:26-05 64 #> 11 SAAR 2020-10-29 07:53:06-05 58 #> 12 NSA 2020-11-25 07:52:06-06 54 #> 13 NSA 2020-02-12 10:34:09-06 54 #> 14 NSA 2020-07-30 07:56:57-05 41 #> 15 NSA 2020-11-25 07:52:19-06 33 #> 16 SA 2020-12-02 15:44:01-06 91 #> 17 SAAR 2020-11-25 07:55:02-06 60 #> 18 NSA 2020-07-30 07:56:46-05 42 #> 19 NSA 2020-11-25 07:54:08-06 37 #> 20 NSA 2020-11-25 07:52:26-06 24 #> 21 SA 2020-10-29 07:52:56-05 78 #> 22 SAAR 2020-11-25 07:51:55-06 61 #> 23 SAAR 2020-10-29 07:53:05-05 57 #> 24 SAAR 2020-11-25 07:54:06-06 43 #> 25 SAAR 2020-11-25 07:51:37-06 78 #> 26 NSA 2020-07-30 07:57:08-05 33 #> 27 NSA 2020-07-30 07:57:09-05 33 #> 28 SA 2020-10-29 07:53:21-05 28 #> 29 NSA 2020-07-30 07:57:24-05 21 #> 30 NSA 2020-08-03 14:58:02-05 77 #> 31 NSA 2020-11-25 07:52:23-06 18 #> 32 NSA 2020-11-25 07:53:37-06 10 #> 33 NSA 2020-11-25 07:53:34-06 10 #> 34 SA 2020-10-29 07:53:07-05 55 #> 35 SAAR 2020-11-25 07:54:10-06 42 #> 36 NSA 2019-10-21 14:50:02-05 74 #> 37 NSA 2020-07-30 07:57:11-05 32 #> 38 NSA 2020-07-30 07:57:20-05 27 #> 39 SAAR 2020-11-25 07:52:25-06 23 #> 40 SA 2020-11-25 07:52:25-06 18 #> 41 NSA 2020-10-16 13:44:01-05 73 #> 42 SAAR 2020-11-25 07:51:38-06 73 #> 43 NSA 2020-07-30 07:57:30-05 13 #> 44 SA 2020-11-25 07:52:09-06 45 #> 45 NSA 2020-11-02 08:01:06-06 72 #> 46 SAAR 2020-11-25 07:52:02-06 70 #> 47 SAAR 2020-11-25 07:52:16-06 38 #> 48 NSA 2020-07-30 07:57:23-05 18 #> 49 NSA 2020-07-30 07:57:12-05 37 #> 50 NSA 2020-10-16 13:44:05-05 22 #> 51 SAAR 2020-11-25 07:52:23-06 27 #> 52 NSA 2020-07-30 07:57:18-05 20 #> 53 SA 2020-11-25 07:53:20-06 20 #> 54 NSA 2020-07-30 08:20:25-05 11 #> 55 NSA 2020-11-25 07:54:15-06 9 #> 56 NSA 2020-11-25 07:52:52-06 8 #> 57 NSA 2020-11-25 07:53:50-06 4 #> 58 SAAR 2020-11-25 07:52:03-06 68 #> 59 SAAR 2020-11-25 07:51:45-06 67 #> 60 SAAR 2020-11-25 07:54:10-06 36 #> 61 NSA 2020-12-17 16:39:01-06 67 #> 62 NSA 2020-07-30 07:57:31-05 16 #> 63 SAAR 2020-11-25 07:54:02-06 65 #> 64 NSA 2020-07-30 07:57:28-05 21 #> 65 NSA 2020-07-30 07:57:26-05 19 #> 66 NSA 2020-11-25 07:55:07-06 16 #> 67 NSA 2020-11-25 07:52:42-06 12 #> 68 SAAR 2020-11-25 07:54:02-06 65 #> 69 NSA 2020-10-16 13:44:04-05 65 #> 70 SA 2020-12-07 17:56:01-06 65 #> 71 SAAR 2020-11-25 07:53:02-06 64 #> 72 SA 2020-12-08 06:00:02-06 64 #> 73 NSA 2020-11-25 07:52:51-06 5 #> 74 NSA 2020-10-29 07:53:18-05 42 #> 75 NSA 2020-01-30 08:07:51-06 37 #> 76 SAAR 2020-09-30 08:45:01-05 65 #> 77 NSA 2020-10-16 13:44:05-05 64 #> 78 NSA 2020-07-30 07:57:19-05 19 #> 79 NSA 2020-07-30 07:57:17-05 25 #> 80 SAAR 2020-11-25 07:52:06-06 59 #> 81 NSA 2020-12-08 06:00:16-06 15 #> 82 NSA 2020-07-30 07:57:38-05 14 #> 83 SAAR 2020-11-25 07:52:38-06 13 #> 84 NSA 2020-07-30 07:57:23-05 13 #> 85 SA 2016-04-08 14:46:36-05 10 #> 86 NSA 2020-11-25 07:52:42-06 9 #> 87 NSA 2020-10-29 15:58:01-05 62 #> 88 SA 2020-12-08 06:00:03-06 62 #> 89 SAAR 2020-12-17 14:24:09-06 62 #> 90 SAAR 2020-11-25 07:53:08-06 41 #> 91 SA 2020-12-07 17:56:03-06 60 #> 92 SAAR 2020-11-25 07:53:12-06 40 #> 93 SA 2020-12-10 14:36:03-06 59 #> 94 NSA 2020-07-30 07:56:57-05 37 #> 95 SAAR 2020-12-18 09:48:01-06 61 #> 96 SA 2020-12-10 14:37:14-06 61 #> 97 NSA 2020-07-30 07:57:33-05 17 #> 98 SAAR 2020-11-25 07:54:04-06 55 #> 99 NSA 2020-07-30 07:57:35-05 16 #> 100 NSA 2020-12-17 16:39:13-06 34 #> 101 SAAR 2020-11-25 07:53:40-06 12 #> 102 NSA 2020-11-25 07:53:35-06 11 #> 103 SAAR 2020-11-25 07:52:48-06 11 #> 104 SA 2020-12-10 14:36:06-06 27 #> 105 NSA 2020-11-25 07:53:30-06 7 #> 106 NSA 2020-11-25 07:55:18-06 5 #> 107 NSA 2020-11-25 07:52:48-06 5 #> 108 SA 2020-11-25 07:54:28-06 4 #> 109 NSA 2020-07-30 07:58:13-05 4 #> 110 NSA 2020-07-30 07:59:20-05 3 #> 111 SAAR 2020-11-25 07:52:05-06 60 #> 112 NSA 2020-12-16 16:04:01-06 60 #> 113 NSA 2020-07-30 14:01:14-05 60 #> 114 SA 2020-11-12 15:16:11-06 59 #> 115 NSA 2020-11-25 07:54:30-06 1 #> 116 SA 2020-12-10 14:36:14-06 17 #> 117 NSA 2020-12-08 06:00:18-06 15 #> 118 NSA 2020-12-10 14:54:13-06 9 #> 119 NSA 2020-12-10 14:54:03-06 9 #> 120 NSA 2020-12-10 14:54:14-06 5 #> 121 NSA 2020-10-29 07:53:06-05 59 #> 122 SAAR 2020-11-25 07:54:03-06 58 #> 123 NSA 2020-07-30 07:57:35-05 14 #> 124 NSA 2020-11-25 07:54:19-06 7 #> 125 NSA 2020-11-25 07:59:01-06 1 #> 126 SAAR 2020-11-25 07:53:03-06 58 #> 127 SAAR 2020-11-25 07:55:03-06 36 #> 128 NSA 2020-12-07 13:01:02-06 52 #> 129 SAAR 2020-11-25 07:52:22-06 32 #> 130 NSA 2020-11-12 15:18:24-06 11 #> 131 NSA 2020-11-25 07:53:31-06 9 #> 132 NSA 2020-07-30 07:57:34-05 23 #> 133 SA 2020-12-04 08:56:28-06 88 #> 134 SAAR 2020-11-25 07:52:06-06 57 #> 135 NSA 2020-10-16 13:44:04-05 57 #> 136 NSA 2020-10-02 07:44:01-05 57 #> 137 NSA 2019-06-11 13:09:56-05 57 #> 138 SA 2020-12-08 06:00:04-06 56 #> 139 SAAR 2020-11-25 07:52:01-06 53 #> 140 NSA 2020-07-30 07:57:35-05 14 #> 141 NSA 2020-07-30 07:57:40-05 12 #> 142 NSA 2020-07-30 07:56:40-05 49 #> 143 SAAR 2020-11-25 07:53:36-06 10 #> 144 SAAR 2020-11-25 07:54:05-06 48 #> 145 NSA 2020-07-30 07:57:44-05 9 #> 146 SAAR 2020-11-25 07:54:04-06 47 #> 147 NSA 2020-07-30 07:56:42-05 46 #> 148 NSA 2020-11-25 07:53:32-06 7 #> 149 SAAR 2020-11-25 07:52:14-06 45 #> 150 SA 2020-11-25 07:55:11-06 5 #> 151 NSA 2020-11-25 07:54:25-06 4 #> 152 NSA 2020-11-25 07:54:27-06 3 #> 153 NSA 2020-07-30 07:58:40-05 2 #> 154 NSA 2020-11-25 07:54:43-06 2 #> 155 NSA 2020-11-25 07:59:12-06 2 #> 156 NSA 2019-06-11 13:11:01-05 56 #> 157 NSA 2020-07-30 07:57:01-05 32 #> 158 NSA 2020-12-04 08:57:16-06 49 #> 159 SA 2020-12-08 06:00:05-06 54 #> 160 SAAR 2020-11-25 07:51:58-06 54 #> 161 NSA 2020-07-30 07:57:37-05 13 #> 162 NSA 2020-12-08 06:00:37-06 13 #> 163 SAAR 2020-11-25 07:52:11-06 50 #> 164 NSA 2020-07-30 07:57:40-05 9 #> 165 SAAR 2020-11-25 07:54:25-06 8 #> 166 SA 2020-11-25 07:54:28-06 4 #> 167 NSA 2020-11-25 07:53:45-06 4 #> 168 NSA 2020-11-25 07:53:01-06 4 #> 169 NSA 2020-11-25 07:54:40-06 3 #> 170 NSA 2020-11-25 07:55:17-06 2 #> 171 NSA 2020-07-30 07:58:44-05 2 #> 172 NSA 2020-11-25 07:55:37-06 1 #> 173 SAAR 2020-11-25 07:52:08-06 54 #> 174 SA 2020-12-08 06:00:04-06 53 #> 175 NSA 2020-11-04 11:16:02-06 50 #> 176 SA 2020-09-15 08:16:05-05 47 #> 177 SA 2020-12-02 15:44:11-06 53 #> 178 SAAR 2020-11-25 07:53:06-06 53 #> 179 NSA 2020-10-02 07:44:02-05 53 #> 180 NSA 2020-11-06 08:01:08-06 53 #> 181 NSA 2018-03-12 07:51:01-05 53 #> 182 NSA 2020-10-19 11:38:01-05 53 #> 183 SA 2020-09-15 08:22:03-05 31 #> 184 NSA 2020-07-30 07:57:34-05 11 #> 185 NSA 2020-12-08 06:00:22-06 10 #> 186 NSA 2020-07-30 07:57:48-05 10 #> 187 NSA 2020-11-25 07:55:10-06 6 #> 188 NSA 2020-11-04 11:16:03-06 25 #> 189 NSA 2020-11-25 07:53:01-06 5 #> 190 NSA 2020-11-25 07:59:11-06 4 #> 191 NSA 2020-11-25 07:54:25-06 4 #> 192 NSA 2020-07-02 15:37:02-05 53 #> 193 NSA 2020-10-02 07:44:03-05 52 #> 194 NSA 2020-12-08 06:00:23-06 13 #> 195 SAAR 2020-11-25 07:54:06-06 50 #> 196 NSA 2020-07-30 07:57:39-05 10 #> 197 SA 2020-09-15 08:07:11-05 10 #> 198 SA 2020-12-10 14:28:03-06 45 #> 199 NSA 2020-06-12 09:51:52-05 6 #> 200 NSA 2020-06-12 09:52:23-05 3 #> 201 NSA 2020-06-12 09:52:32-05 2 #> 202 NSA 2020-08-11 07:24:31-05 32 #> 203 SAAR 2020-11-25 07:52:08-06 51 #> 204 SA 2020-12-15 14:12:01-06 48 #> 205 SAAR 2020-11-25 07:52:21-06 28 #> 206 SA 2020-12-10 14:36:03-06 47 #> 207 NSA 2020-07-30 07:57:27-05 17 #> 208 NSA 2020-11-25 07:52:26-06 12 #> 209 SAAR 2020-11-25 07:55:02-06 50 #> 210 SAAR 2020-11-25 07:55:02-06 50 #> 211 SAAR 2020-10-29 07:53:14-05 50 #> 212 NSA 2020-08-03 14:58:07-05 50 #> 213 NSA 2020-11-25 07:52:09-06 49 #> 214 NSA 2020-10-29 07:53:46-05 7 #> 215 NSA 2020-11-25 07:53:56-06 4 #> 216 NSA 2020-07-30 07:58:01-05 4 #> 217 NSA 2020-11-25 07:55:26-06 1 #> 218 NSA 2020-12-17 16:39:46-06 19 #> 219 SA 2020-12-10 14:36:11-06 19 #> 220 NSA 2020-12-08 06:00:37-06 12 #> 221 NSA 2020-12-17 16:39:04-06 49 #> 222 NSA 2020-07-30 07:57:42-05 8 #> 223 SAAR 2020-11-25 07:54:07-06 46 #> 224 NSA 2020-12-10 14:54:13-06 6 #> 225 SA 2020-12-08 06:00:39-06 5 #> 226 NSA 2020-12-10 14:54:13-06 4 #> 227 NSA 2020-12-10 14:54:16-06 4 #> 228 NSA 2020-12-10 14:54:17-06 2 #> 229 NSA 2020-07-30 07:57:38-05 11 #> 230 NSA 2020-10-29 15:58:02-05 48 #> 231 NSA 2020-10-02 07:44:03-05 48 #> 232 SAAR 2020-11-25 07:52:13-06 48 #> 233 NSA 2019-06-11 13:12:27-05 48 #> 234 NSA 2019-10-21 14:50:03-05 48 #> 235 SA 2020-11-13 06:00:04-06 47 #> 236 NSA 2020-07-30 07:57:45-05 8 #> 237 NSA 2020-12-17 16:39:03-06 46 #> 238 SA 2020-12-10 14:31:02-06 45 #> 239 SA 2020-12-08 06:00:06-06 43 #> 240 NSA 2020-10-29 07:53:44-05 3 #> 241 NSA 2020-11-25 07:52:35-06 13 #> 242 NSA 2020-08-27 08:02:11-05 13 #> 243 NSA 2020-08-27 07:59:56-05 47 #> 244 SAAR 2020-11-25 07:52:11-06 47 #> 245 NSA 2020-09-30 07:31:03-05 47 #> 246 SA 2020-12-08 06:00:06-06 46 #> 247 SA 2020-12-08 06:00:05-06 46 #> 248 SA 2020-11-25 07:52:14-06 45 #> 249 NSA 2020-11-25 07:52:56-06 5 #> 250 NSA 2020-11-25 07:54:43-06 5 #> 251 NSA 2020-12-17 16:39:22-06 23 #> 252 SA 2020-12-10 14:31:15-06 18 #> 253 NSA 2020-10-22 13:01:03-05 14 #> 254 NSA 2020-12-08 06:00:40-06 11 #> 255 SA 2020-12-08 06:00:06-06 46 #> 256 NSA 2017-08-30 08:08:36-05 46 #> 257 SAAR 2020-11-25 07:52:45-06 7 #> 258 NSA 2020-11-13 06:00:13-06 7 #> 259 SAAR 2020-11-25 07:54:06-06 45 #> 260 SAAR 2020-11-25 07:54:07-06 45 #> 261 SA 2020-12-10 14:36:04-06 44 #> 262 SA 2020-12-10 14:31:31-06 5 #> 263 NSA 2020-06-12 09:52:44-05 5 #> 264 NSA 2020-11-25 07:53:50-06 5 #> 265 NSA 2020-06-12 09:52:49-05 3 #> 266 NSA 2020-06-12 09:53:34-05 2 #> 267 NSA 2020-07-30 07:58:54-05 2 #> 268 NSA 2020-07-30 07:57:05-05 39 #> 269 NSA 2020-07-30 07:57:29-05 14 #> 270 NSA 2020-10-29 07:53:19-05 28 #> 271 NSA 2019-06-11 13:11:01-05 45 #> 272 NSA 2020-08-27 08:00:53-05 45 #> 273 NSA 2020-12-08 06:00:59-06 6 #> 274 NSA 2020-12-08 06:01:01-06 5 #> 275 SAAR 2017-09-28 08:11:02-05 42 #> 276 SAAR 2020-11-25 07:52:10-06 41 #> 277 SA 2020-12-10 14:36:05-06 40 #> 278 SA 2020-12-10 14:31:03-06 38 #> 279 NSA 2020-12-10 14:54:02-06 13 #> 280 NSA 2020-07-30 07:57:57-05 7 #> 281 NSA 2020-07-30 07:57:40-05 6 #> 282 SAAR 2020-11-25 07:52:15-06 44 #> 283 SAAR 2020-11-25 07:53:10-06 44 #> 284 NSA 2019-10-21 14:50:03-05 44 #> 285 SA 2020-12-10 14:46:07-06 44 #> 286 NSA 2020-12-08 06:01:01-06 5 #> 287 NSA 2020-11-25 07:54:21-06 5 #> 288 SAAR 2020-11-25 07:54:09-06 43 #> 289 SA 2020-12-10 14:31:03-06 21 #> 290 NSA 2020-11-25 08:00:04-06 1 #> 291 SA 2020-12-10 14:36:10-06 16 #> 292 NSA 2020-07-30 07:57:47-05 11 #> 293 NSA 2017-07-28 07:51:19-05 10 #> 294 SAAR 2017-09-28 08:11:04-05 9 #> 295 NSA 2020-12-10 14:51:03-06 8 #> 296 SA 2020-12-10 14:31:17-06 7 #> 297 SA 2020-12-10 14:36:30-06 7 #> 298 NSA 2020-12-10 14:54:14-06 5 #> 299 NSA 2020-12-10 14:51:03-06 4 #> 300 NSA 2020-12-10 14:54:13-06 4 #> 301 SA 2020-12-08 06:00:07-06 42 #> 302 SAAR 2020-11-25 07:54:10-06 42 #> 303 NSA 2020-12-10 14:51:07-06 2 #> 304 NSA 2020-12-10 14:54:27-06 2 #> 305 NSA 2020-11-25 07:54:40-06 2 #> 306 SA 2020-12-10 14:29:08-06 37 #> 307 SA 2020-12-08 06:00:09-06 36 #> 308 NSA 2020-07-30 07:58:24-05 6 #> 309 NSA 2020-12-09 08:38:03-06 42 #> 310 NSA 2020-10-13 11:48:01-05 42 #> 311 SAAR 2020-11-25 07:52:16-06 41 #> 312 SA 2020-12-08 06:00:09-06 41 #> 313 SA 2020-12-10 14:28:05-06 38 #> 314 NSA 2020-12-08 06:00:39-06 18 #> 315 NSA 2020-12-17 16:39:27-06 14 #> 316 SA 2020-12-10 14:29:12-06 12 #> 317 SA 2020-12-10 14:29:28-06 11 #> 318 NSA 2020-12-08 06:00:46-06 10 #> 319 NSA 2020-11-25 07:54:27-06 4 #> 320 NSA 2020-12-09 08:38:02-06 42 #> 321 NSA 2020-10-14 13:05:22-05 3 #> 322 NSA 2020-11-02 08:01:11-06 41 #> 323 NSA 2020-07-30 07:56:48-05 41 #> 324 NSA 2020-12-17 16:39:05-06 41 #> 325 NSA 2020-10-14 12:55:32-05 2 #> 326 NSA 2020-10-14 12:57:08-05 1 #> 327 SAAR 2020-11-25 07:52:14-06 39 #> 328 SA 2020-12-10 14:28:08-06 16 #> 329 SA 2020-10-14 12:53:33-05 35 #> 330 NSA 2020-12-07 13:01:05-06 35 #> 331 SAAR 2020-11-25 07:52:19-06 28 #> 332 NSA 2020-12-08 06:00:44-06 6 #> 333 NSA 2020-08-11 07:25:36-05 5 #> 334 SA 2020-12-08 06:00:57-06 3 #> 335 SA 2020-12-10 14:28:26-06 3 #> 336 SA 2020-11-25 07:54:13-06 21 #> 337 NSA 2020-12-17 16:39:06-06 40 #> 338 NSA 2020-08-11 07:27:17-05 1 #> 339 NSA 2020-08-11 07:32:33-05 1 #> 340 SA 2020-12-10 14:36:06-06 39 #> 341 SA 2020-12-08 06:00:10-06 35 #> 342 NSA 2020-07-30 07:57:33-05 15 #> 343 SA 2020-10-14 12:54:48-05 14 #> 344 SA 2020-11-25 07:52:20-06 32 #> 345 SA 2020-10-14 12:55:06-05 8 #> 346 SA 2020-10-14 12:55:15-05 7 #> 347 SAAR 2020-11-25 07:53:00-06 6 #> 348 NSA 2020-07-30 07:57:58-05 6 #> 349 NSA 2020-07-30 07:57:55-05 5 #> 350 NSA 2020-04-17 11:59:06-05 3 #> 351 NSA 2020-04-17 11:51:08-05 2 #> 352 NSA 2020-04-17 12:01:07-05 2 #> 353 NSA 2020-04-17 11:58:09-05 1 #> 354 NSA 2020-10-02 07:44:06-05 39 #> 355 SAAR 2020-10-29 07:53:18-05 36 #> 356 SAAR 2020-11-25 07:52:15-06 36 #> 357 NSA 2020-07-02 15:37:11-05 16 #> 358 SAAR 2020-11-25 07:53:31-06 14 #> 359 NSA 2020-07-30 07:58:05-05 13 #> 360 NSA 2020-12-07 13:02:01-06 26 #> 361 NSA 2020-12-08 06:00:40-06 6 #> 362 SA 2020-12-10 14:36:32-06 6 #> 363 SAAR 2020-11-25 07:52:24-06 24 #> 364 NSA 2020-12-09 08:38:04-06 39 #> 365 NSA 2020-10-02 07:44:04-05 38 #> 366 NSA 2020-12-17 16:39:07-06 38 #> 367 SAAR 2020-10-02 07:44:09-05 38 #> 368 NSA 2019-10-21 14:50:02-05 38 #> 369 NSA 2012-08-31 14:22:59-05 38 #> 370 SA 2020-12-10 14:45:05-06 37 #> 371 SAAR 2020-11-25 07:52:17-06 37 #> 372 SAAR 2020-11-25 07:54:13-06 16 #> 373 NSA 2020-07-30 07:57:40-05 15 #> 374 NSA 2020-11-25 07:52:18-06 33 #> 375 NSA 2020-11-25 07:52:29-06 9 #> 376 SAAR 2020-11-25 07:52:36-06 9 #> 377 NSA 2020-12-08 06:00:12-06 28 #> 378 SA 2016-04-08 14:46:36-05 26 #> 379 NSA 2020-11-25 07:53:44-06 6 #> 380 NSA 2020-08-27 08:02:36-05 6 #> 381 NSA 2020-11-25 07:53:39-06 6 #> 382 NSA 2020-11-25 07:52:41-06 5 #> 383 SA 2020-11-25 07:54:27-06 4 #> 384 NSA 2020-07-30 07:58:28-05 2 #> 385 NSA 2020-07-30 07:58:33-05 2 #> 386 NSA 2020-07-30 08:03:00-05 2 #> 387 NSA 2020-11-25 07:56:08-06 1 #> 388 NSA 2020-11-25 07:59:10-06 1 #> 389 NSA 2020-11-25 08:00:05-06 1 #> 390 SAAR 2020-11-25 07:53:14-06 37 #> 391 NSA 2020-10-02 07:44:06-05 37 #> 392 NSA 2020-10-02 07:44:04-05 37 #> 393 NSA 2020-12-09 08:38:03-06 37 #> 394 NSA 2020-12-17 16:39:08-06 37 #> 395 SA 2020-09-15 08:19:08-05 36 #> 396 SAAR 2020-11-25 07:52:17-06 36 #> 397 NSA 2020-07-30 07:57:27-05 15 #> 398 SAAR 2020-11-25 07:54:11-06 33 #> 399 SA 2017-04-16 14:55:23-05 33 #> 400 SA 2020-12-10 14:45:36-06 11 #> 401 SA 2020-11-12 15:17:03-06 29 #> 402 NSA 2020-07-30 07:57:47-05 8 #> 403 SA 2016-07-07 08:46:37-05 27 #> 404 SA 2020-12-10 14:32:02-06 25 #> 405 SA 2020-12-10 14:32:03-06 22 #> 406 NSA 2017-06-09 08:51:19-05 17 #> 407 NSA 2020-12-09 08:38:04-06 36 #> 408 NSA 2019-06-11 13:12:27-05 36 #> 409 NSA 2019-10-21 14:50:03-05 36 #> 410 NSA 2020-12-17 16:39:10-06 36 #> 411 NSA 2020-12-09 08:38:05-06 36 #> 412 NSA 2020-10-02 07:44:06-05 36 #> 413 NSA 2020-10-02 07:44:03-05 36 #> 414 NSA 2012-12-10 10:32:44-06 36 #> 415 SA 2020-11-25 07:54:08-06 36 #> 416 SA 2020-11-12 15:17:31-06 16 #> 417 SAAR 2020-11-25 07:52:16-06 35 #> 418 NSA 2020-07-30 07:57:32-05 14 #> 419 SA 2017-06-09 08:51:23-05 13 #> 420 SA 2020-11-12 15:18:45-06 7 #> 421 SA 2017-06-09 08:51:23-05 6 #> 422 NSA 2020-06-12 09:51:48-05 6 #> 423 NSA 2020-12-10 14:52:05-06 6 #> 424 NSA 2020-07-30 07:58:00-05 4 #> 425 NSA 2017-04-16 14:55:23-05 4 #> 426 NSA 2020-04-17 11:38:06-05 2 #> 427 NSA 2020-02-18 13:53:30-06 2 #> 428 SA 2020-12-10 14:32:53-06 2 #> 429 NSA 2020-04-17 11:45:12-05 1 #> 430 NSA 2020-12-10 14:52:06-06 1 #> 431 NSA 2020-12-10 15:50:54-06 1 #> 432 NSA 2020-10-02 07:44:11-05 35 #> 433 NSA 2019-06-11 13:12:28-05 35 #> 434 SAAR 2020-11-25 07:53:14-06 34 #> 435 SA 2020-12-08 06:00:09-06 34 #> 436 SAAR 2020-11-25 07:54:20-06 7 #> 437 SA 2020-12-08 06:00:11-06 26 #> 438 NSA 2020-07-30 07:57:55-05 6 #> 439 NSA 2020-07-30 07:58:10-05 5 #> 440 NSA 2020-07-30 07:58:35-05 4 #> 441 SAAR 2020-11-25 07:53:45-06 4 #> 442 NSA 2020-12-08 06:00:17-06 21 #> 443 NSA 2020-12-09 08:38:04-06 34 #> 444 NSA 2020-10-02 07:44:08-05 34 #> 445 NSA 2019-10-21 14:50:02-05 34 #> 446 NSA 2020-07-30 07:57:09-05 34 #> 447 NSA 2020-09-30 07:31:04-05 34 #> 448 NSA 2020-10-02 07:44:05-05 34 #> 449 NSA 2020-10-13 11:48:02-05 34 #> 450 SAAR 2020-11-25 07:52:19-06 33 #> 451 SAAR 2020-11-25 07:52:17-06 32 #> 452 SAAR 2020-11-25 07:52:18-06 30 #> 453 NSA 2020-10-21 13:22:49-05 6 #> 454 NSA 2020-07-30 07:58:06-05 5 #> 455 NSA 2020-12-08 06:01:00-06 4 #> 456 SA 2020-12-10 14:35:05-06 19 #> 457 SA 2020-12-10 14:35:04-06 16 #> 458 NSA 2020-12-17 16:39:15-06 33 #> 459 SA 2020-11-25 07:53:16-06 33 #> 460 NSA 2020-09-30 07:31:04-05 33 #> 461 SA 2020-12-02 15:44:12-06 33 #> 462 NSA 2020-10-02 07:44:05-05 33 #> 463 NSA 2020-10-02 07:44:08-05 33 #> 464 NSA 2019-06-11 13:12:27-05 33 #> 465 NSA 2020-10-02 07:44:08-05 33 #> 466 NSA 2020-12-09 08:38:05-06 33 #> 467 SA 2020-12-10 14:35:07-06 13 #> 468 NSA 2020-07-02 15:37:03-05 32 #> 469 SA 2020-10-14 12:53:42-05 31 #> 470 SA 2020-11-25 07:53:40-06 8 #> 471 NSA 2020-07-30 07:58:06-05 8 #> 472 NSA 2020-08-11 07:27:25-05 5 #> 473 NSA 2020-07-30 07:58:56-05 4 #> 474 SAAR 2020-11-25 07:53:40-06 4 #> 475 NSA 2020-08-11 07:39:13-05 3 #> 476 NSA 2020-11-25 07:55:18-06 3 #> 477 NSA 2020-08-11 07:34:19-05 2 #> 478 NSA 2020-08-27 08:02:28-05 2 #> 479 NSA 2020-07-30 08:20:48-05 2 #> 480 NSA 2020-11-25 07:54:48-06 2 #> 481 NSA 2020-11-25 07:54:31-06 2 #> 482 NSA 2020-11-25 07:56:09-06 1 #> 483 NSA 2020-08-27 08:01:09-05 32 #> 484 NSA 2020-07-30 07:57:09-05 32 #> 485 NSA 2020-12-17 16:39:09-06 32 #> 486 NSA 2019-06-11 13:12:28-05 32 #> 487 NSA 2020-12-17 16:39:15-06 32 #> 488 NSA 2019-06-11 13:12:27-05 32 #> 489 NSA 2020-12-17 16:39:21-06 32 #> 490 NSA 2020-10-02 07:44:09-05 32 #> 491 NSA 2020-10-13 11:48:02-05 32 #> 492 SAAR 2020-11-25 07:53:18-06 31 #> 493 SAAR 2020-11-25 07:52:18-06 31 #> 494 NSA 2020-10-13 11:48:02-05 31 #> 495 SA 2020-12-10 14:36:08-06 29 #> 496 NSA 2020-10-22 13:01:03-05 7 #> 497 NSA 2020-04-17 11:57:05-05 6 #> 498 SA 2020-12-10 14:33:06-06 21 #> 499 SA 2020-12-10 14:31:35-06 2 #> 500 SA 2020-12-10 14:33:03-06 20 #> 501 NSA 2020-06-12 09:59:35-05 1 #> 502 NSA 2020-11-04 11:16:04-06 31 #> 503 NSA 2020-12-09 08:38:05-06 31 #> 504 NSA 2020-11-02 08:01:15-06 31 #> 505 NSA 2020-12-17 16:39:18-06 31 #> 506 NSA 2020-12-09 08:38:04-06 31 #> 507 SAAR 2020-11-25 07:53:17-06 31 #> 508 NSA 2017-08-30 07:51:04-05 31 #> 509 NSA 2011-09-23 14:16:25-05 31 #> 510 NSA 2019-10-21 14:50:03-05 31 #> 511 NSA 2020-12-16 16:04:05-06 31 #> 512 NSA 2020-07-02 15:37:04-05 31 #> 513 SAAR 2020-11-25 07:52:24-06 28 #> 514 SA 2020-12-08 06:00:16-06 27 #> 515 SAAR 2020-11-25 07:54:12-06 26 #> 516 NSA 2020-12-10 14:54:03-06 6 #> 517 SA 2020-12-10 14:33:16-06 3 #> 518 NSA 2020-11-25 07:54:43-06 3 #> 519 NSA 2020-07-30 07:58:16-05 3 #> 520 NSA 2020-10-22 13:01:05-05 3 #> 521 NSA 2020-11-12 15:18:35-06 2 #> 522 NSA 2020-11-12 15:19:21-06 2 #> 523 NSA 2020-07-30 07:58:03-05 2 #> 524 NSA 2020-11-12 15:42:55-06 1 #> 525 NSA 2020-10-02 07:44:07-05 30 #> 526 NSA 2020-12-17 16:39:10-06 30 #> 527 SAAR 2020-11-25 07:53:15-06 30 #> 528 NSA 2020-10-02 07:44:11-05 30 #> 529 NSA 2020-11-04 11:16:05-06 30 #> 530 NSA 2020-10-02 07:44:07-05 30 #> 531 SAAR 2020-11-25 07:55:04-06 30 #> 532 NSA 2020-07-30 14:01:19-05 30 #> 533 NSA 2019-06-11 13:12:27-05 30 #> 534 NSA 2020-10-02 07:44:07-05 30 #> 535 NSA 2020-07-30 07:57:59-05 10 #> 536 SA 2020-12-08 06:00:14-06 29 #> 537 SAAR 2020-11-25 07:53:15-06 29 #> 538 SA 2020-12-08 06:00:11-06 29 #> 539 SA 2020-12-10 14:29:08-06 29 #> 540 NSA 2020-12-17 16:40:17-06 9 #> 541 NSA 2020-07-30 07:57:50-05 9 #> 542 SA 2020-12-10 14:36:09-06 27 #> 543 NSA 2020-11-02 08:01:24-06 4 #> 544 NSA 2020-12-08 06:01:17-06 4 #> 545 NSA 2020-12-07 13:01:06-06 23 #> 546 NSA 2020-07-30 07:59:20-05 2 #> 547 NSA 2020-12-10 14:54:03-06 11 #> 548 NSA 2020-10-02 07:44:15-05 29 #> 549 NSA 2020-10-02 07:44:05-05 29 #> 550 NSA 2020-12-17 16:39:08-06 29 #> 551 NSA 2020-10-02 07:44:09-05 29 #> 552 NSA 2019-06-11 13:12:27-05 29 #> 553 NSA 2020-11-25 07:52:27-06 29 #> 554 NSA 2020-12-17 16:39:11-06 29 #> 555 NSA 2020-12-09 08:38:05-06 29 #> 556 NSA 2020-12-09 08:38:06-06 29 #> 557 NSA 2020-10-29 07:53:22-05 28 #> 558 SA 2020-12-08 06:00:10-06 28 #> 559 NSA 2020-12-17 16:39:13-06 27 #> 560 SA 2020-12-08 06:00:12-06 27 #> 561 NSA 2020-10-13 11:48:03-05 26 #> 562 SA 2020-10-14 12:53:49-05 25 #> 563 SA 2020-11-25 07:54:44-06 5 #> 564 NSA 2020-12-08 06:01:08-06 5 #> 565 NSA 2020-07-30 07:58:48-05 4 #> 566 NSA 2020-07-30 07:57:48-05 4 #> 567 NSA 2020-12-08 06:01:01-06 4 #> 568 NSA 2020-10-14 12:56:39-05 4 #> 569 SA 2020-11-13 06:00:08-06 23 #> 570 NSA 2020-07-30 07:58:12-05 3 #> 571 SA 2020-12-08 06:00:14-06 22 #> 572 NSA 2020-12-17 16:39:56-06 15 #> 573 NSA 2020-12-17 16:39:46-06 11 #> 574 NSA 2020-12-09 08:38:08-06 28 #> 575 SAAR 2020-11-25 07:54:11-06 28 #> 576 NSA 2020-12-09 08:38:06-06 28 #> 577 SAAR 2020-10-02 07:44:14-05 28 #> 578 NSA 2020-07-02 15:37:05-05 28 #> 579 NSA 2020-08-27 08:01:21-05 28 #> 580 NSA 2020-10-02 07:44:04-05 28 #> 581 NSA 2020-10-02 07:44:12-05 28 #> 582 NSA 2020-12-17 16:39:24-06 28 #> 583 NSA 2020-12-17 16:39:12-06 28 #> 584 SA 2020-12-10 14:37:33-06 28 #> 585 NSA 2020-12-17 16:39:22-06 28 #> 586 NSA 2020-10-22 13:01:03-05 9 #> 587 NSA 2020-11-13 06:00:13-06 7 #> 588 NSA 2020-03-13 17:13:17-05 7 #> 589 NSA 2020-07-30 07:57:16-05 26 #> 590 SA 2020-12-08 06:00:35-06 26 #> 591 NSA 2020-10-22 13:01:08-05 6 #> 592 NSA 2020-12-08 06:01:00-06 6 #> 593 NSA 2020-10-22 13:01:06-05 4 #> 594 NSA 2020-07-30 07:58:23-05 4 #> 595 NSA 2020-12-08 06:00:42-06 4 #> 596 NSA 2020-12-08 06:01:07-06 2 #> 597 SA 2020-12-08 06:01:08-06 2 #> 598 NSA 2020-07-30 07:58:17-05 1 #> 599 SAAR 2018-03-08 15:01:05-06 18 #> 600 SA 2019-09-23 17:27:08-05 12 #> 601 NSA 2020-12-08 06:00:59-06 8 #> 602 NSA 2019-06-11 13:12:28-05 27 #> 603 NSA 2020-12-17 16:39:21-06 27 #> 604 NSA 2020-10-02 07:44:10-05 27 #> 605 SAAR 2020-11-25 07:55:04-06 27 #> 606 SA 2020-12-08 06:00:11-06 27 #> 607 NSA 2019-10-21 14:50:03-05 27 #> 608 NSA 2013-04-03 11:05:06-05 27 #> 609 NSA 2020-10-22 13:02:46-05 27 #> 610 NSA 2020-10-13 11:48:02-05 27 #> 611 SAAR 2020-11-25 07:54:12-06 26 #> 612 SAAR 2020-11-25 07:52:24-06 26 #> 613 SAAR 2020-11-25 07:54:39-06 6 #> 614 NSA 2020-10-21 13:22:49-05 6 #> 615 SA 2019-09-23 17:27:25-05 3 #> 616 SA 2020-12-08 06:00:19-06 22 #> 617 NSA 2020-07-30 07:58:32-05 2 #> 618 NSA 2020-07-30 08:01:00-05 2 #> 619 SAAR 2020-11-25 07:54:16-06 21 #> 620 NSA 2019-09-24 06:00:35-05 1 #> 621 NSA 2017-09-21 13:51:10-05 1 #> 622 NSA 2019-09-23 17:28:29-05 1 #> 623 SA 2020-12-10 14:32:07-06 13 #> 624 SA 2020-12-10 14:32:06-06 10 #> 625 NSA 2020-12-10 14:52:03-06 10 #> 626 NSA 2020-12-17 16:39:56-06 9 #> 627 NSA 2020-12-07 13:02:26-06 9 #> 628 NSA 2020-08-27 08:02:03-05 8 #> 629 NSA 2020-12-09 08:38:09-06 27 #> 630 SA 2020-12-08 06:00:13-06 26 #> 631 SAAR 2020-11-25 07:54:12-06 26 #> 632 SA 2020-12-10 14:46:12-06 26 #> 633 NSA 2019-10-21 14:50:04-05 26 #> 634 NSA 2020-10-02 07:44:10-05 26 #> 635 NSA 2020-12-09 08:38:07-06 26 #> 636 SAAR 2020-11-25 07:55:04-06 26 #> 637 SA 2020-12-02 15:44:13-06 26 #> 638 NSA 2020-11-04 11:16:06-06 26 #> 639 NSA 2019-10-21 14:50:04-05 26 #> 640 NSA 2020-12-09 08:38:06-06 26 #> 641 NSA 2020-11-04 11:16:11-06 26 #> 642 NSA 2020-10-02 07:44:10-05 26 #> 643 SAAR 2020-10-02 07:44:18-05 26 #> 644 NSA 2020-10-19 11:19:02-05 26 #> 645 NSA 2019-10-21 14:50:03-05 26 #> 646 NSA 2019-06-11 13:12:28-05 26 #> 647 NSA 2019-06-11 13:12:28-05 26 #> 648 NSA 2020-07-30 07:58:41-05 6 #> 649 NSA 2020-12-08 06:01:07-06 6 #> 650 SA 2020-11-12 15:17:09-06 25 #> 651 NSA 2020-07-30 07:58:56-05 5 #> 652 SA 2020-10-14 12:53:44-05 23 #> 653 SA 2020-12-10 14:32:53-06 3 #> 654 SAAR 2020-10-02 07:44:13-05 22 #> 655 SAAR 2020-11-25 07:53:19-06 22 #> 656 NSA 2020-11-25 07:53:56-06 2 #> 657 NSA 2020-11-25 07:59:12-06 2 #> 658 NSA 2020-11-25 07:53:56-06 2 #> 659 NSA 2020-12-08 06:00:59-06 2 #> 660 NSA 2020-10-22 13:01:13-05 2 #> 661 NSA 2020-12-10 14:52:06-06 1 #> 662 NSA 2020-12-10 15:50:54-06 1 #> 663 SA 2020-12-10 14:31:16-06 19 #> 664 SAAR 2020-11-25 07:53:39-06 13 #> 665 NSA 2020-06-12 09:51:38-05 12 #> 666 NSA 2020-07-30 07:57:36-05 11 #> 667 NSA 2020-10-02 07:44:43-05 9 #> 668 SAAR 2020-11-25 07:53:47-06 6 #> 669 NSA 2019-06-11 13:12:28-05 25 #> 670 NSA 2020-12-16 16:04:06-06 25 #> 671 NSA 2020-10-02 07:44:11-05 25 #> 672 NSA 2020-12-09 08:38:08-06 25 #> 673 NSA 2020-09-30 07:31:04-05 25 #> 674 NSA 2020-12-09 08:38:08-06 25 #> 675 SA 2020-09-15 08:07:06-05 25 #> 676 SA 2020-12-08 06:00:13-06 25 #> 677 NSA 2019-06-11 13:12:27-05 25 #> 678 NSA 2020-07-30 07:57:18-05 25 #> 679 NSA 2020-07-02 15:37:05-05 25 #> 680 NSA 2020-10-02 07:44:12-05 25 #> 681 NSA 2020-12-09 08:38:09-06 25 #> 682 NSA 2019-06-11 13:12:27-05 25 #> 683 NSA 2020-10-13 11:48:03-05 25 #> 684 SA 2020-10-14 12:56:04-05 5 #> 685 SAAR 2020-11-25 10:27:01-06 24 #> 686 SAAR 2020-10-29 07:53:27-05 24 #> 687 NSA 2020-12-08 06:01:24-06 4 #> 688 SAAR 2020-11-25 07:52:39-06 23 #> 689 NSA 2020-02-18 13:53:48-06 3 #> 690 NSA 2020-07-30 07:58:43-05 2 #> 691 SA 2020-10-14 12:55:16-05 2 #> 692 NSA 2020-10-14 13:13:05-05 2 #> 693 NSA 2020-10-14 12:57:35-05 2 #> 694 NSA 2020-11-25 07:53:47-06 1 #> 695 NSA 2020-07-30 07:58:12-05 1 #> 696 NSA 2020-07-30 08:07:12-05 1 #> 697 NSA 2020-10-14 13:03:25-05 1 #> 698 NSA 2020-12-10 14:54:02-06 20 #> 699 NSA 2020-11-04 11:16:08-06 20 #> 700 SA 2020-12-10 14:36:19-06 19 #> 701 SA 2016-04-08 14:46:54-05 17 #> 702 NSA 2020-12-17 16:39:50-06 12 #> 703 NSA 2020-12-10 14:54:02-06 11 #> 704 NSA 2020-11-04 11:16:12-06 9 #> 705 NSA 2020-12-08 06:01:03-06 6 #> 706 SA 2020-12-08 06:00:13-06 24 #> 707 SA 2020-12-17 14:24:04-06 24 #> 708 NSA 2019-10-21 14:50:03-05 24 #> 709 NSA 2020-10-02 07:44:18-05 24 #> 710 NSA 2012-12-10 10:32:33-06 24 #> 711 NSA 2020-10-02 07:44:17-05 24 #> 712 NSA 2020-12-09 08:38:06-06 24 #> 713 NSA 2020-10-01 08:01:03-05 24 #> 714 NSA 2020-10-02 07:44:13-05 24 #> 715 NSA 2020-10-02 07:44:19-05 24 #> 716 NSA 2019-10-21 14:50:03-05 24 #> 717 NSA 2020-12-09 08:38:10-06 24 #> 718 NSA 2019-06-11 13:12:28-05 24 #> 719 NSA 2020-07-30 07:58:55-05 4 #> 720 SA 2020-12-10 14:39:53-06 4 #> 721 SA 2020-12-10 14:39:53-06 4 #> 722 SA 2020-12-08 06:00:34-06 23 #> 723 NSA 2020-11-25 07:53:56-06 3 #> 724 NSA 2020-07-30 07:58:54-05 3 #> 725 SAAR 2020-11-25 07:53:43-06 3 #> 726 SA 2020-12-10 14:39:53-06 3 #> 727 NSA 2020-07-30 07:58:37-05 2 #> 728 NSA 2020-12-10 14:54:26-06 2 #> 729 NSA 2020-06-12 09:53:21-05 2 #> 730 NSA 2020-12-08 06:01:25-06 2 #> 731 NSA 2020-07-30 07:59:12-05 2 #> 732 NSA 2020-12-10 14:54:26-06 2 #> 733 SAAR 2020-11-25 07:54:12-06 21 #> 734 SA 2020-12-10 14:32:20-06 2 #> 735 NSA 2020-12-10 15:52:04-06 1 #> 736 NSA 2020-12-10 15:52:04-06 1 #> 737 NSA 2020-12-10 15:52:04-06 1 #> 738 NSA 2020-12-10 15:50:09-06 1 #> 739 SAAR 2020-11-25 07:52:29-06 10 #> 740 NSA 2019-10-21 14:50:08-05 24 #> 741 NSA 2020-11-04 11:16:09-06 23 #> 742 NSA 2020-10-02 07:44:17-05 23 #> 743 NSA 2020-12-17 16:39:23-06 23 #> 744 NSA 2020-10-02 07:44:14-05 23 #> 745 NSA 2020-08-27 08:01:28-05 23 #> 746 NSA 2020-12-17 16:39:14-06 23 #> 747 NSA 2020-12-09 08:38:09-06 23 #> 748 NSA 2020-12-09 08:38:07-06 23 #> 749 NSA 2020-11-04 11:16:07-06 23 #> 750 NSA 2020-12-17 16:39:26-06 23 #> 751 NSA 2018-03-12 09:11:01-05 23 #> 752 NSA 2020-12-09 08:38:07-06 23 #> 753 NSA 2020-07-02 15:37:05-05 23 #> 754 NSA 2020-12-17 16:39:34-06 23 #> 755 NSA 2020-10-02 07:44:20-05 23 #> 756 NSA 2020-12-17 16:39:18-06 23 #> 757 NSA 2020-10-19 11:38:02-05 23 #> 758 NSA 2019-11-01 08:01:03-05 22 #> 759 NSA 2020-10-13 11:48:04-05 22 #> 760 NSA 2020-12-08 06:01:24-06 2 #> 761 NSA 2020-10-01 08:01:05-05 2 #> 762 SA 2020-11-25 07:52:21-06 21 #> 763 NSA 2020-11-25 07:55:26-06 1 #> 764 NSA 2020-07-30 07:59:08-05 1 #> 765 NSA 2020-12-08 06:01:52-06 1 #> 766 SA 2020-12-08 06:00:35-06 20 #> 767 NSA 2020-12-07 13:01:09-06 15 #> 768 NSA 2020-10-21 13:22:49-05 14 #> 769 NSA 2020-12-17 16:40:18-06 6 #> 770 SAAR 2020-11-25 07:53:43-06 5 #> 771 NSA 2020-07-30 07:57:51-05 4 #> 772 NSA 2020-10-22 13:01:07-05 4 #> 773 NSA 2020-10-02 07:44:14-05 22 #> 774 SAAR 2020-11-25 07:52:27-06 22 #> 775 NSA 2020-10-02 07:44:16-05 22 #> 776 NSA 2020-12-17 16:39:20-06 22 #> 777 NSA 2017-07-07 16:53:07-05 22 #> 778 NSA 2020-10-22 13:02:46-05 22 #> 779 NSA 2020-10-02 07:44:07-05 22 #> 780 NSA 2020-12-17 16:39:23-06 22 #> 781 NSA 2020-12-17 16:39:17-06 22 #> 782 NSA 2020-07-30 07:57:31-05 22 #> 783 NSA 2020-12-09 08:38:10-06 22 #> 784 NSA 2020-12-17 16:39:54-06 22 #> 785 NSA 2019-10-29 10:32:02-05 22 #> 786 NSA 2020-07-01 08:01:04-05 2 #> 787 SAAR 2020-11-25 07:55:06-06 21 #> 788 SAAR 2020-11-25 07:52:23-06 21 #> 789 SA 2020-11-25 07:53:26-06 21 #> 790 NSA 2020-07-30 08:01:44-05 1 #> 791 NSA 2020-12-08 06:01:04-06 1 #> 792 NSA 2020-12-17 16:39:35-06 20 #> 793 NSA 2020-10-29 07:53:30-05 17 #> 794 SA 2020-12-08 06:00:36-06 16 #> 795 SAAR 2020-11-25 07:52:40-06 15 #> 796 SA 2020-12-10 14:35:06-06 15 #> 797 SAAR 2020-11-25 07:52:30-06 14 #> 798 NSA 2020-07-30 07:57:33-05 13 #> 799 NSA 2020-08-11 07:25:12-05 12 #> 800 NSA 2020-12-08 06:01:04-06 11 #> 801 SAAR 2020-11-25 07:53:37-06 9 #> 802 SA 2020-10-29 07:53:45-05 7 #> 803 NSA 2020-07-30 07:58:27-05 7 #> 804 NSA 2020-07-30 07:58:34-05 5 #> 805 SAAR 2020-11-25 07:53:49-06 3 #> 806 NSA 2020-07-30 07:57:58-05 3 #> 807 NSA 2020-07-30 07:58:20-05 3 #> 808 NSA 2020-07-30 07:59:06-05 3 #> 809 NSA 2020-10-22 13:01:14-05 3 #> 810 SAAR 2020-11-25 07:54:35-06 3 #> 811 SAAR 2020-11-25 07:52:58-06 2 #> 812 NSA 2020-11-25 07:54:25-06 2 #> 813 NSA 2020-07-30 07:59:16-05 2 #> 814 NSA 2020-10-19 11:38:04-05 21 #> 815 NSA 2020-12-09 08:38:09-06 21 #> 816 NSA 2017-01-05 08:02:17-06 21 #> 817 NSA 2020-12-09 08:38:11-06 21 #> 818 NSA 2020-12-09 08:38:08-06 21 #> 819 NSA 2019-10-21 14:50:05-05 21 #> 820 SAAR 2020-11-25 07:55:03-06 21 #> 821 NSA 2019-12-20 11:33:16-06 21 #> 822 NSA 2020-12-17 16:39:31-06 21 #> 823 NSA 2020-10-02 07:44:16-05 21 #> 824 NSA 2020-10-02 07:44:12-05 21 #> 825 SAAR 2020-11-25 07:52:28-06 21 #> 826 NSA 2019-10-21 14:50:04-05 21 #> 827 NSA 2020-10-22 13:01:02-05 21 #> 828 NSA 2020-10-19 11:38:03-05 21 #> 829 NSA 2020-07-30 08:06:54-05 1 #> 830 NSA 2020-07-30 08:00:41-05 1 #> 831 NSA 2020-07-30 08:05:39-05 1 #> 832 NSA 2020-11-25 07:56:08-06 1 #> 833 NSA 2020-07-30 08:07:49-05 1 #> 834 SA 2020-12-10 14:36:13-06 20 #> 835 SAAR 2020-11-25 07:52:26-06 20 #> 836 SAAR 2020-11-25 07:52:35-06 19 #> 837 SA 2020-12-08 06:00:20-06 19 #> 838 NSA 2020-10-13 11:48:03-05 19 #> 839 NSA 2020-12-08 06:00:37-06 13 #> 840 SA 2020-12-08 06:00:46-06 12 #> 841 NSA 2020-12-08 06:00:42-06 5 #> 842 SAAR 2020-11-25 07:52:48-06 5 #> 843 SAAR 2020-11-25 07:55:29-06 5 #> 844 NSA 2020-07-30 07:58:00-05 4 #> 845 NSA 2020-10-22 13:01:05-05 4 #> 846 NSA 2020-12-10 14:54:29-06 3 #> 847 NSA 2020-07-30 07:59:04-05 3 #> 848 SA 2020-11-25 07:58:27-06 1 #> 849 NSA 2020-07-30 08:03:21-05 1 #> 850 NSA 2020-07-30 07:59:05-05 1 #> 851 NSA 2020-11-25 08:00:05-06 1 #> 852 NSA 2020-11-25 07:59:01-06 1 #> 853 NSA 2020-11-25 08:00:03-06 1 #> 854 SAAR 2020-11-25 07:54:16-06 20 #> 855 NSA 2020-07-01 08:01:03-05 20 #> 856 NSA 2020-07-30 07:57:27-05 20 #> 857 SAAR 2020-10-02 07:44:20-05 20 #> 858 NSA 2020-12-17 16:39:51-06 20 #> 859 NSA 2020-12-09 08:38:12-06 20 #> 860 NSA 2012-12-10 10:32:16-06 20 #> 861 NSA 2020-10-02 07:44:13-05 20 #> 862 NSA 2019-06-11 13:12:29-05 20 #> 863 NSA 2019-10-21 14:50:04-05 20 #> 864 NSA 2020-07-02 15:37:09-05 20 #> 865 SAAR 2020-09-30 08:45:02-05 20 #> 866 NSA 2020-12-09 08:38:12-06 20 #> 867 NSA 2020-12-17 16:39:25-06 20 #> 868 NSA 2012-09-17 12:02:37-05 20 #> 869 NSA 2020-10-02 07:44:21-05 20 #> 870 NSA 2019-10-21 14:50:04-05 20 #> 871 NSA 2020-12-09 08:38:07-06 20 #> 872 NSA 2020-10-02 07:44:10-05 20 #> 873 NSA 2020-11-02 08:01:16-06 20 #> 874 NSA 2020-10-02 07:44:17-05 20 #> 875 NSA 2020-12-09 08:38:11-06 20 #> 876 NSA 2020-12-09 08:38:10-06 20 #> 877 NSA 2019-10-21 14:50:03-05 20 #> 878 NSA 2017-09-18 15:51:12-05 20 #> 879 NSA 2020-12-10 14:54:02-06 20 #> 880 SA 2020-12-10 14:28:32-06 1 #> 881 NSA 2020-08-11 07:41:20-05 1 #> 882 NSA 2020-10-19 11:38:05-05 20 #> 883 SAAR 2020-11-25 07:52:25-06 19 #> 884 SAAR 2020-11-25 07:52:28-06 19 #> 885 SA 2020-11-25 07:54:12-06 19 #> 886 SAAR 2020-11-25 07:53:28-06 19 #> 887 SAAR 2020-11-25 07:52:28-06 19 #> 888 SA 2020-11-25 07:54:14-06 19 #> 889 NSA 2020-10-13 11:48:04-05 19 #> 890 SA 2020-12-08 06:00:15-06 17 #> 891 SA 2020-12-08 06:00:17-06 17 #> 892 SAAR 2020-11-25 07:54:16-06 14 #> 893 SA 2020-10-29 15:46:01-05 94 #> 894 NSA 2020-07-02 15:37:27-05 6 #> 895 NSA 2020-07-30 07:58:26-05 5 #> 896 NSA 2020-12-17 16:40:45-06 4 #> 897 NSA 2020-12-08 06:01:02-06 4 #> 898 NSA 2020-11-25 07:59:01-06 4 #> 899 NSA 2020-10-22 13:00:01-05 4 #> 900 SA 2020-12-10 14:35:27-06 4 #> 901 NSA 2020-12-08 06:01:02-06 3 #> 902 NSA 2020-07-30 07:58:42-05 2 #> 903 SAAR 2020-11-25 07:52:50-06 2 #> 904 NSA 2020-07-30 07:59:21-05 2 #> 905 SA 2020-11-25 07:58:57-06 2 #> 906 NSA 2020-07-30 07:58:15-05 2 #> 907 NSA 2020-07-30 08:01:27-05 2 #> 908 NSA 2020-07-30 07:58:56-05 2 #> 909 NSA 2020-12-10 15:51:39-06 2 #> 910 NSA 2020-11-25 07:58:23-06 1 #> 911 NSA 2020-11-25 08:00:05-06 1 #> 912 NSA 2020-11-25 07:59:39-06 1 #> 913 NSA 2020-01-30 08:08:45-06 1 #> 914 NSA 2019-06-11 13:12:29-05 20 #> 915 NSA 2020-10-02 07:44:17-05 20 #> 916 SAAR 2020-11-25 07:54:13-06 19 #> 917 SAAR 2020-11-25 07:54:15-06 19 #> 918 NSA 2012-09-17 11:29:43-05 19 #> 919 NSA 2019-10-21 13:53:02-05 19 #> 920 NSA 2020-10-02 07:44:19-05 19 #> 921 NSA 2019-06-11 13:12:29-05 19 #> 922 NSA 2019-10-21 14:50:03-05 19 #> 923 NSA 2020-12-09 08:38:12-06 19 #> 924 NSA 2020-12-17 16:39:23-06 19 #> 925 NSA 2020-10-22 13:03:16-05 19 #> 926 NSA 2020-12-17 16:39:25-06 19 #> 927 NSA 2020-12-17 16:39:27-06 19 #> 928 SA 2020-11-12 15:17:16-06 19 #> 929 NSA 2019-10-21 14:50:05-05 19 #> 930 NSA 2020-12-09 08:38:13-06 19 #> 931 NSA 2012-12-10 10:31:58-06 19 #> 932 NSA 2020-10-13 11:48:04-05 19 #> 933 NSA 2020-10-13 11:48:03-05 19 #> 934 SAAR 2020-11-25 07:53:28-06 18 #> 935 NSA 2020-12-17 16:39:24-06 17 #> 936 SA 2020-12-10 14:34:04-06 13 #> 937 NSA 2020-12-07 13:02:14-06 10 #> 938 SA 2020-11-25 07:55:11-06 8 #> 939 SA 2020-12-10 14:34:09-06 8 #> 940 NSA 2020-10-22 13:01:11-05 4 #> 941 SA 2020-12-10 14:29:44-06 4 #> 942 SA 2020-12-10 14:34:25-06 3 #> 943 NSA 2020-10-14 13:06:52-05 3 #> 944 NSA 2020-11-25 07:55:18-06 2 #> 945 NSA 2020-07-30 07:58:39-05 2 #> 946 NSA 2020-07-30 08:03:33-05 1 #> 947 NSA 2020-07-30 07:58:50-05 1 #> 948 NSA 2020-07-30 08:02:08-05 1 #> 949 NSA 2020-11-25 07:56:09-06 1 #> 950 NSA 2020-11-25 07:59:12-06 1 #> 951 NSA 2020-11-12 15:50:11-06 1 #> 952 NSA 2020-12-10 15:51:23-06 1 #> 953 NSA 2020-12-10 15:51:23-06 1 #> 954 NSA 2020-12-10 15:51:22-06 1 #> 955 SA 2020-12-10 15:11:04-06 1 #> 956 NSA 2020-12-10 15:51:39-06 1 #> 957 NSA 2019-12-20 11:34:06-06 18 #> 958 NSA 2020-12-09 08:38:13-06 18 #> 959 NSA 2020-12-17 16:39:25-06 18 #> 960 NSA 2012-09-17 09:53:23-05 18 #> 961 SA 2020-11-25 07:54:14-06 18 #> 962 NSA 2012-12-10 10:32:38-06 18 #> 963 NSA 2020-12-17 16:39:48-06 18 #> 964 SAAR 2020-11-25 07:54:14-06 18 #> 965 NSA 2020-09-30 07:31:05-05 18 #> 966 NSA 2012-09-17 11:18:32-05 18 #> 967 NSA 2020-12-09 08:38:15-06 18 #> 968 NSA 2017-08-30 08:06:19-05 18 #> 969 NSA 2020-08-27 07:58:09-05 18 #> 970 NSA 2020-12-17 16:39:31-06 18 #> 971 NSA 2019-06-11 13:12:28-05 18 #> 972 NSA 2019-06-11 13:12:32-05 18 #> 973 NSA 2020-12-17 16:39:25-06 18 #> 974 NSA 2020-12-17 16:40:02-06 18 #> 975 NSA 2019-06-11 13:12:28-05 18 #> 976 NSA 2020-10-13 11:48:05-05 18 #> 977 NSA 2020-10-22 13:01:02-05 18 #> 978 NSA 2019-10-29 10:32:02-05 18 #> 979 NSA 2013-04-03 11:05:44-05 17 #> 980 SAAR 2020-11-25 07:52:29-06 17 #> 981 SA 2020-11-12 15:17:24-06 17 #> 982 NSA 2018-09-20 16:41:01-05 16 #> 983 SA 2020-12-08 06:00:42-06 15 #> 984 SA 2020-09-15 08:20:14-05 13 #> 985 SA 2020-12-10 14:28:12-06 13 #> 986 SA 2020-12-10 14:35:09-06 12 #> 987 SA 2020-10-14 12:54:02-05 10 #> 988 SA 2020-10-14 12:54:00-05 8 #> 989 SA 2020-10-14 12:54:56-05 6 #> 990 NSA 2020-12-17 16:41:14-06 5 #> 991 SA 2020-12-10 14:35:38-06 5 #> 992 NSA 2013-04-03 11:03:50-05 4 #> 993 SA 2020-12-10 14:35:32-06 4 #> 994 SA 2020-12-10 14:28:27-06 4 #> 995 NSA 2020-04-17 11:52:10-05 3 #> 996 SA 2020-09-15 08:11:33-05 3 #> 997 SA 2020-09-15 08:20:34-05 3 #> 998 SA 2020-12-10 14:35:39-06 3 #> 999 NSA 2020-04-17 11:46:12-05 2 #> 1000 NSA 2020-12-08 06:01:18-06 2 #> group_popularity #> 1 100 #> 2 100 #> 3 100 #> 4 100 #> 5 100 #> 6 100 #> 7 100 #> 8 100 #> 9 97 #> 10 97 #> 11 97 #> 12 97 #> 13 97 #> 14 97 #> 15 97 #> 16 91 #> 17 85 #> 18 85 #> 19 85 #> 20 85 #> 21 80 #> 22 80 #> 23 80 #> 24 80 #> 25 78 #> 26 80 #> 27 80 #> 28 80 #> 29 80 #> 30 77 #> 31 80 #> 32 80 #> 33 80 #> 34 76 #> 35 76 #> 36 74 #> 37 76 #> 38 76 #> 39 76 #> 40 76 #> 41 73 #> 42 73 #> 43 76 #> 44 74 #> 45 72 #> 46 72 #> 47 73 #> 48 74 #> 49 73 #> 50 73 #> 51 72 #> 52 72 #> 53 72 #> 54 72 #> 55 72 #> 56 72 #> 57 72 #> 58 68 #> 59 68 #> 60 69 #> 61 67 #> 62 69 #> 63 66 #> 64 68 #> 65 68 #> 66 68 #> 67 68 #> 68 65 #> 69 65 #> 70 65 #> 71 65 #> 72 65 #> 73 68 #> 74 66 #> 75 66 #> 76 64 #> 77 64 #> 78 66 #> 79 65 #> 80 63 #> 81 65 #> 82 65 #> 83 65 #> 84 65 #> 85 65 #> 86 65 #> 87 62 #> 88 62 #> 89 62 #> 90 63 #> 91 62 #> 92 63 #> 93 62 #> 94 63 #> 95 61 #> 96 61 #> 97 63 #> 98 61 #> 99 63 #> 100 62 #> 101 63 #> 102 63 #> 103 63 #> 104 62 #> 105 63 #> 106 63 #> 107 63 #> 108 63 #> 109 63 #> 110 63 #> 111 60 #> 112 60 #> 113 60 #> 114 60 #> 115 63 #> 116 62 #> 117 62 #> 118 62 #> 119 62 #> 120 62 #> 121 59 #> 122 59 #> 123 61 #> 124 61 #> 125 61 #> 126 58 #> 127 59 #> 128 58 #> 129 59 #> 130 60 #> 131 60 #> 132 59 #> 133 88 #> 134 57 #> 135 57 #> 136 57 #> 137 57 #> 138 57 #> 139 57 #> 140 59 #> 141 59 #> 142 57 #> 143 59 #> 144 57 #> 145 59 #> 146 57 #> 147 57 #> 148 59 #> 149 57 #> 150 59 #> 151 59 #> 152 59 #> 153 59 #> 154 59 #> 155 59 #> 156 56 #> 157 57 #> 158 88 #> 159 55 #> 160 55 #> 161 57 #> 162 57 #> 163 55 #> 164 57 #> 165 57 #> 166 57 #> 167 57 #> 168 57 #> 169 57 #> 170 57 #> 171 57 #> 172 57 #> 173 54 #> 174 54 #> 175 54 #> 176 54 #> 177 53 #> 178 53 #> 179 53 #> 180 53 #> 181 53 #> 182 53 #> 183 54 #> 184 55 #> 185 55 #> 186 55 #> 187 55 #> 188 54 #> 189 55 #> 190 55 #> 191 55 #> 192 52 #> 193 52 #> 194 54 #> 195 52 #> 196 54 #> 197 54 #> 198 52 #> 199 54 #> 200 54 #> 201 54 #> 202 52 #> 203 51 #> 204 51 #> 205 52 #> 206 51 #> 207 52 #> 208 52 #> 209 50 #> 210 50 #> 211 50 #> 212 50 #> 213 50 #> 214 52 #> 215 52 #> 216 52 #> 217 52 #> 218 51 #> 219 51 #> 220 51 #> 221 49 #> 222 51 #> 223 49 #> 224 51 #> 225 51 #> 226 51 #> 227 51 #> 228 51 #> 229 50 #> 230 48 #> 231 48 #> 232 48 #> 233 48 #> 234 48 #> 235 48 #> 236 50 #> 237 48 #> 238 48 #> 239 48 #> 240 50 #> 241 49 #> 242 49 #> 243 47 #> 244 47 #> 245 47 #> 246 47 #> 247 47 #> 248 47 #> 249 49 #> 250 49 #> 251 48 #> 252 48 #> 253 48 #> 254 48 #> 255 46 #> 256 46 #> 257 48 #> 258 48 #> 259 46 #> 260 46 #> 261 46 #> 262 48 #> 263 48 #> 264 48 #> 265 48 #> 266 48 #> 267 48 #> 268 46 #> 269 47 #> 270 46 #> 271 45 #> 272 45 #> 273 47 #> 274 47 #> 275 45 #> 276 45 #> 277 45 #> 278 45 #> 279 46 #> 280 46 #> 281 46 #> 282 44 #> 283 44 #> 284 44 #> 285 44 #> 286 46 #> 287 46 #> 288 44 #> 289 45 #> 290 46 #> 291 45 #> 292 45 #> 293 45 #> 294 45 #> 295 45 #> 296 45 #> 297 45 #> 298 45 #> 299 45 #> 300 45 #> 301 43 #> 302 43 #> 303 45 #> 304 45 #> 305 45 #> 306 43 #> 307 43 #> 308 44 #> 309 42 #> 310 42 #> 311 42 #> 312 42 #> 313 42 #> 314 43 #> 315 43 #> 316 43 #> 317 43 #> 318 43 #> 319 43 #> 320 41 #> 321 43 #> 322 41 #> 323 41 #> 324 41 #> 325 43 #> 326 43 #> 327 41 #> 328 42 #> 329 41 #> 330 41 #> 331 41 #> 332 42 #> 333 42 #> 334 42 #> 335 42 #> 336 41 #> 337 40 #> 338 42 #> 339 42 #> 340 40 #> 341 40 #> 342 41 #> 343 41 #> 344 40 #> 345 41 #> 346 41 #> 347 41 #> 348 41 #> 349 41 #> 350 41 #> 351 41 #> 352 41 #> 353 41 #> 354 39 #> 355 39 #> 356 39 #> 357 40 #> 358 40 #> 359 40 #> 360 39 #> 361 40 #> 362 40 #> 363 39 #> 364 38 #> 365 38 #> 366 38 #> 367 38 #> 368 38 #> 369 38 #> 370 38 #> 371 38 #> 372 39 #> 373 39 #> 374 38 #> 375 39 #> 376 39 #> 377 38 #> 378 38 #> 379 39 #> 380 39 #> 381 39 #> 382 39 #> 383 39 #> 384 39 #> 385 39 #> 386 39 #> 387 39 #> 388 39 #> 389 39 #> 390 37 #> 391 37 #> 392 37 #> 393 37 #> 394 37 #> 395 37 #> 396 37 #> 397 38 #> 398 37 #> 399 37 #> 400 38 #> 401 37 #> 402 38 #> 403 37 #> 404 37 #> 405 37 #> 406 37 #> 407 36 #> 408 36 #> 409 36 #> 410 36 #> 411 36 #> 412 36 #> 413 36 #> 414 36 #> 415 36 #> 416 37 #> 417 36 #> 418 37 #> 419 37 #> 420 37 #> 421 37 #> 422 37 #> 423 37 #> 424 37 #> 425 37 #> 426 37 #> 427 37 #> 428 37 #> 429 37 #> 430 37 #> 431 37 #> 432 35 #> 433 35 #> 434 35 #> 435 35 #> 436 36 #> 437 35 #> 438 36 #> 439 36 #> 440 36 #> 441 36 #> 442 35 #> 443 34 #> 444 34 #> 445 34 #> 446 34 #> 447 34 #> 448 34 #> 449 34 #> 450 34 #> 451 34 #> 452 34 #> 453 35 #> 454 35 #> 455 35 #> 456 34 #> 457 34 #> 458 33 #> 459 33 #> 460 33 #> 461 33 #> 462 33 #> 463 33 #> 464 33 #> 465 33 #> 466 33 #> 467 34 #> 468 33 #> 469 33 #> 470 34 #> 471 34 #> 472 34 #> 473 34 #> 474 34 #> 475 34 #> 476 34 #> 477 34 #> 478 34 #> 479 34 #> 480 34 #> 481 34 #> 482 34 #> 483 32 #> 484 32 #> 485 32 #> 486 32 #> 487 32 #> 488 32 #> 489 32 #> 490 32 #> 491 32 #> 492 32 #> 493 32 #> 494 32 #> 495 32 #> 496 33 #> 497 33 #> 498 32 #> 499 33 #> 500 32 #> 501 33 #> 502 31 #> 503 31 #> 504 31 #> 505 31 #> 506 31 #> 507 31 #> 508 31 #> 509 31 #> 510 31 #> 511 31 #> 512 31 #> 513 31 #> 514 31 #> 515 31 #> 516 32 #> 517 32 #> 518 32 #> 519 32 #> 520 32 #> 521 32 #> 522 32 #> 523 32 #> 524 32 #> 525 30 #> 526 30 #> 527 30 #> 528 30 #> 529 30 #> 530 30 #> 531 30 #> 532 30 #> 533 30 #> 534 30 #> 535 31 #> 536 30 #> 537 30 #> 538 30 #> 539 30 #> 540 31 #> 541 31 #> 542 30 #> 543 31 #> 544 31 #> 545 30 #> 546 31 #> 547 30 #> 548 29 #> 549 29 #> 550 29 #> 551 29 #> 552 29 #> 553 29 #> 554 29 #> 555 29 #> 556 29 #> 557 29 #> 558 29 #> 559 29 #> 560 29 #> 561 29 #> 562 29 #> 563 30 #> 564 30 #> 565 30 #> 566 30 #> 567 30 #> 568 30 #> 569 29 #> 570 30 #> 571 29 #> 572 29 #> 573 29 #> 574 28 #> 575 28 #> 576 28 #> 577 28 #> 578 28 #> 579 28 #> 580 28 #> 581 28 #> 582 28 #> 583 28 #> 584 28 #> 585 28 #> 586 29 #> 587 29 #> 588 29 #> 589 28 #> 590 28 #> 591 29 #> 592 29 #> 593 29 #> 594 29 #> 595 29 #> 596 29 #> 597 29 #> 598 29 #> 599 28 #> 600 28 #> 601 28 #> 602 27 #> 603 27 #> 604 27 #> 605 27 #> 606 27 #> 607 27 #> 608 27 #> 609 27 #> 610 27 #> 611 27 #> 612 27 #> 613 28 #> 614 28 #> 615 28 #> 616 27 #> 617 28 #> 618 28 #> 619 27 #> 620 28 #> 621 28 #> 622 28 #> 623 27 #> 624 27 #> 625 27 #> 626 27 #> 627 27 #> 628 27 #> 629 26 #> 630 26 #> 631 26 #> 632 26 #> 633 26 #> 634 26 #> 635 26 #> 636 26 #> 637 26 #> 638 26 #> 639 26 #> 640 26 #> 641 26 #> 642 26 #> 643 26 #> 644 26 #> 645 26 #> 646 26 #> 647 26 #> 648 27 #> 649 27 #> 650 26 #> 651 27 #> 652 26 #> 653 27 #> 654 26 #> 655 26 #> 656 27 #> 657 27 #> 658 27 #> 659 27 #> 660 27 #> 661 27 #> 662 27 #> 663 26 #> 664 26 #> 665 26 #> 666 26 #> 667 26 #> 668 26 #> 669 25 #> 670 25 #> 671 25 #> 672 25 #> 673 25 #> 674 25 #> 675 25 #> 676 25 #> 677 25 #> 678 25 #> 679 25 #> 680 25 #> 681 25 #> 682 25 #> 683 25 #> 684 26 #> 685 25 #> 686 25 #> 687 26 #> 688 25 #> 689 26 #> 690 26 #> 691 26 #> 692 26 #> 693 26 #> 694 26 #> 695 26 #> 696 26 #> 697 26 #> 698 25 #> 699 25 #> 700 25 #> 701 25 #> 702 25 #> 703 25 #> 704 25 #> 705 25 #> 706 24 #> 707 24 #> 708 24 #> 709 24 #> 710 24 #> 711 24 #> 712 24 #> 713 24 #> 714 24 #> 715 24 #> 716 24 #> 717 24 #> 718 24 #> 719 25 #> 720 25 #> 721 25 #> 722 24 #> 723 25 #> 724 25 #> 725 25 #> 726 25 #> 727 25 #> 728 25 #> 729 25 #> 730 25 #> 731 25 #> 732 25 #> 733 24 #> 734 25 #> 735 25 #> 736 25 #> 737 25 #> 738 25 #> 739 24 #> 740 23 #> 741 23 #> 742 23 #> 743 23 #> 744 23 #> 745 23 #> 746 23 #> 747 23 #> 748 23 #> 749 23 #> 750 23 #> 751 23 #> 752 23 #> 753 23 #> 754 23 #> 755 23 #> 756 23 #> 757 23 #> 758 23 #> 759 23 #> 760 24 #> 761 24 #> 762 23 #> 763 24 #> 764 24 #> 765 24 #> 766 23 #> 767 23 #> 768 23 #> 769 23 #> 770 23 #> 771 23 #> 772 23 #> 773 22 #> 774 22 #> 775 22 #> 776 22 #> 777 22 #> 778 22 #> 779 22 #> 780 22 #> 781 22 #> 782 22 #> 783 22 #> 784 22 #> 785 22 #> 786 23 #> 787 22 #> 788 22 #> 789 22 #> 790 23 #> 791 23 #> 792 22 #> 793 22 #> 794 22 #> 795 22 #> 796 22 #> 797 22 #> 798 22 #> 799 22 #> 800 22 #> 801 22 #> 802 22 #> 803 22 #> 804 22 #> 805 22 #> 806 22 #> 807 22 #> 808 22 #> 809 22 #> 810 22 #> 811 22 #> 812 22 #> 813 22 #> 814 21 #> 815 21 #> 816 21 #> 817 21 #> 818 21 #> 819 21 #> 820 21 #> 821 21 #> 822 21 #> 823 21 #> 824 21 #> 825 21 #> 826 21 #> 827 21 #> 828 21 #> 829 22 #> 830 22 #> 831 22 #> 832 22 #> 833 22 #> 834 21 #> 835 21 #> 836 21 #> 837 21 #> 838 21 #> 839 21 #> 840 21 #> 841 21 #> 842 21 #> 843 21 #> 844 21 #> 845 21 #> 846 21 #> 847 21 #> 848 21 #> 849 21 #> 850 21 #> 851 21 #> 852 21 #> 853 21 #> 854 20 #> 855 20 #> 856 20 #> 857 20 #> 858 20 #> 859 20 #> 860 20 #> 861 20 #> 862 20 #> 863 20 #> 864 20 #> 865 20 #> 866 20 #> 867 20 #> 868 20 #> 869 20 #> 870 20 #> 871 20 #> 872 20 #> 873 20 #> 874 20 #> 875 20 #> 876 20 #> 877 20 #> 878 20 #> 879 20 #> 880 21 #> 881 21 #> 882 20 #> 883 20 #> 884 20 #> 885 20 #> 886 20 #> 887 20 #> 888 20 #> 889 20 #> 890 20 #> 891 20 #> 892 20 #> 893 93 #> 894 20 #> 895 20 #> 896 20 #> 897 20 #> 898 20 #> 899 20 #> 900 20 #> 901 20 #> 902 20 #> 903 20 #> 904 20 #> 905 20 #> 906 20 #> 907 20 #> 908 20 #> 909 20 #> 910 20 #> 911 20 #> 912 20 #> 913 20 #> 914 19 #> 915 19 #> 916 19 #> 917 19 #> 918 19 #> 919 19 #> 920 19 #> 921 19 #> 922 19 #> 923 19 #> 924 19 #> 925 19 #> 926 19 #> 927 19 #> 928 19 #> 929 19 #> 930 19 #> 931 19 #> 932 19 #> 933 19 #> 934 19 #> 935 19 #> 936 19 #> 937 19 #> 938 19 #> 939 19 #> 940 19 #> 941 19 #> 942 19 #> 943 19 #> 944 19 #> 945 19 #> 946 19 #> 947 19 #> 948 19 #> 949 19 #> 950 19 #> 951 19 #> 952 19 #> 953 19 #> 954 19 #> 955 19 #> 956 19 #> 957 18 #> 958 18 #> 959 18 #> 960 18 #> 961 18 #> 962 18 #> 963 18 #> 964 18 #> 965 18 #> 966 18 #> 967 18 #> 968 18 #> 969 18 #> 970 18 #> 971 18 #> 972 18 #> 973 18 #> 974 18 #> 975 18 #> 976 18 #> 977 18 #> 978 18 #> 979 18 #> 980 18 #> 981 18 #> 982 18 #> 983 18 #> 984 18 #> 985 18 #> 986 18 #> 987 18 #> 988 18 #> 989 18 #> 990 18 #> 991 18 #> 992 18 #> 993 18 #> 994 18 #> 995 18 #> 996 18 #> 997 18 #> 998 18 #> 999 18 #> 1000 18 #> notes #> 1 BEA Account Code: A191RX\n\nReal gross domestic product is the inflation adjusted value of the goods and services produced by labor and property located in the United States.For more information see the Guide to the National Income and Product Accounts of the United States (NIPA). For more information, please visit the Bureau of Economic Analysis (http://www.bea.gov/national/pdf/nipaguid.pdf). #> 2 BEA Account Code: A191RL\n\nGross domestic product (GDP) is the value of the goods and services produced by the nation's economy less the value of the goods and services used up in production. GDP is also equal to the sum of personal consumption expenditures, gross private domestic investment, net exports of goods and services, and government consumption expenditures and gross investment. Real values are inflation-adjusted estimates—that is, estimates that exclude the effects of price changes.\n\nFor more information about this series, please visit the Bureau of Economic Analysis (http://www.bea.gov/national/). #> 3 BEA Account Code: A191RX\n\nA Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA) #> 4 BEA Account Code: A191RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 5 BEA Account Code: A191RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 6 BEA Account Code: ND000334 #> 7 BEA Account Code: OB000334 #> 8 BEA Account Code: NB000334 #> 9 BEA Account Code: A191RC\n\nGross domestic product (GDP), the featured measure of U.S. output, is the market value of the goods and services produced by labor and property located in the United States.For more information, see the Guide to the National Income and Product Accounts of the United States (NIPA) and the Bureau of Economic Analysis (http://www.bea.gov/national/pdf/nipaguid.pdf). #> 10 BEA Account Code: A191RC\n\n #> 11 BEA Account Code: A191RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 12 BEA Account Code: NA000334 #> 13 <NA> #> 14 BEA Account Code: A191RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 15 BEA Account Code: NC000334 #> 16 Federal Debt: Total Public Debt as Percent of Gross Domestic Product (GFDEGDQ188S) was first constructed by the Federal Reserve Bank of St. Louis in October 2012. It is calculated using Federal Government Debt: Total Public Debt (GFDEBTN) and Gross Domestic Product, 1 Decimal (GDP):\nGFDEGDQ188S = ((GFDEBTN/1000)/GDP)*100\nGFDEBTN/1000 transforms GFDEBTN from millions of dollars to billions of dollars. #> 17 BEA Account Code: DPCERC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 18 BEA Account Code: DPCERC\n\n #> 19 BEA Account Code: NA000349 #> 20 BEA Account Code: NC000349 #> 21 BEA Account Code: A191RD\n\nThe number of decimal places reported varies over time. A Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA). #> 22 BEA Account Code: DPCERX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 23 BEA Account Code: A191RI\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 24 BEA Account Code: DPCERL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 25 BEA Account Code: A939RX\n\nFor more information about this series, please visit the Bureau of Economic Analysis (http://www.bea.gov/national/). #> 26 BEA Account Code: A191RI\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 27 BEA Account Code: DPCERX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 28 BEA Account Code: DPCERO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 29 BEA Account Code: DPCERL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 30 Real potential GDP is the CBO’s estimate of the output the economy would produce with a high rate of use of its capital and labor resources. The data is adjusted to remove the effects of inflation. #> 31 BEA Account Code: ND000349 #> 32 BEA Account Code: NB000349 #> 33 BEA Account Code: OB000349 #> 34 BEA Account Code: BPCCRO\r\n\r\nFor more information about this series, please see http://www.bea.gov/national/. #> 35 BEA Account Code: A067RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 36 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 37 BEA Account Code: DPCCRG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 38 BEA Account Code: A067RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 39 BEA Account Code: A067RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 40 BEA Account Code: A067RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 41 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product (FYFSGDA188S) was first constructed by the Federal Reserve Bank of St. Louis in October 2012. It is calculated using Federal Surplus or Deficit [-] (FYFSD) and Gross Domestic Product (GDPA):\nFYFSGDA188S = ((FYFSD/1000)/GDPA)*100\nFYFSD/1000 transforms FYFSD from millions of dollars to billions of dollars. #> 42 BEA Account Code: A055RC\n\n #> 43 BEA Account Code: A067RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 44 BEA Account Code: DPCERG\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 45 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available from the IMF (http://www.imf.org/external/terms.htm). #> 46 BEA Account Code: A006RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 47 BEA Account Code: A229RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 48 BEA Account Code: DPCERG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 49 BEA Account Code: A229RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 50 <NA> #> 51 BEA Account Code: A006RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 52 BEA Account Code: A006RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 53 BEA Account Code: B006RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 54 BEA Account Code: A006RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 55 BEA Account Code: ND000335 #> 56 BEA Account Code: NB000335 #> 57 BEA Account Code: OB000335 #> 58 BEA Account Code: A006RC\n\nA Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA) #> 59 BEA Account Code: A019RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 60 BEA Account Code: A065RC\n\nPersonal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts. #> 61 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 62 BEA Account Code: A065RC\n\nPersonal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts.For more information about this series, please see http://www.bea.gov/national/. #> 63 BEA Account Code: W068RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 64 BEA Account Code: A019RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 65 BEA Account Code: A006RC\n\n #> 66 BEA Account Code: NA000374 #> 67 BEA Account Code: NA000335 #> 68 BEA Account Code: W006RC\n\nVisit the BEA (http://www.bea.gov/national/) for more information about this series. #> 69 Federal Receipts as Percent of Gross Domestic Product (FYFRGDA188S) was first constructed by the Federal Reserve Bank of St. Louis in January 2013. It is calculated using Federal Receipts (FYFR) and Gross Domestic Product (GDPA):\nFYFRGDA188S = ((FYFR /1000)/GDPA)*100\nFYFR /1000 transforms FYFR from millions of dollars to billions of dollars. #> 70 Copyright, 2016, Cabinet Office of Japan. #> 71 BEA Account Code: A001RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 72 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: UK\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 73 BEA Account Code: NC000335 #> 74 Population includes resident population plus armed forces overseas. The annual estimate is constructed as an average of monthly series https://fred.stlouisfed.org/series/POPTHM. \nBEA Account Code: B230RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 75 Population includes resident population plus armed forces overseas. The annual estimate is constructed as an average of monthly series https://fred.stlouisfed.org/series/POPTHM. \nBEA Account Code: B230RC #> 76 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 77 Federal Outlays: Interest as Percent of Gross Domestic Product (FYOIGDA188S) was first constructed by the Federal Reserve Bank of St. Louis in January 2013. It is calculated using Federal Outlays: Interest (FYOINT) and Gross Domestic Product (GDPA):\nFYOIGDA188S= ((FYOINT/1000)/GDPA)*100\nFYOINT/1000 transforms FYOINT from millions of dollars to billions of dollars. #> 78 BEA Account Code: W068RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 79 BEA Account Code: A001RC\n\n #> 80 BEA Account Code: A021RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 81 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: UK\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 82 BEA Account Code: A001RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 83 BEA Account Code: A001RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 84 BEA Account Code: W006RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 85 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: UK\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 86 BEA Account Code: NA000327 #> 87 The series assigns dates to U.S. recessions based on a mathematical model of the way that recessions differ from expansions. Whereas the NBER business cycle dates are based on a subjective assessment of a variety of indicators, the dates here are entirely mechanical and are calculated solely from historically reported GDP data. Whenever the GDP-based recession indicator index rises above 67%, the economy is determined to be in a recession. The date that the recession is determined to have begun is the first quarter prior to that date for which the inference from the mathematical model using all data available at that date would have been above 50%. The next time the GDP-based recession indicator index falls below 33%, the recession is determined to be over, and the last quarter of the recession is the first quarter for which the inference from the mathematical model using all available data at that date would have been below 50%.\n\nFor more information about this series visit http://econbrowser.com/recession-index. #> 88 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DE\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 89 GDPNow is a nowcasting model for gross domestic product (GDP) growth that synthesizes the bridge equation approach relating GDP subcomponents to monthly source data with factor model and Bayesian vector autoregression approaches. The GDPNow model forecasts GDP growth by aggregating 13 subcomponents that make up GDP with the chain-weighting methodology used by the US Bureau of Economic Analysis.\r\n\r\nThe Federal Reserve Bank of Atlanta's GDPNow release complements the quarterly GDP release from the Bureau of Economic Analysis (BEA). The Atlanta Fed recalculates and updates their GDPNow forecasts (called "nowcasts") throughout the quarter as new data are released, up until the BEA releases its "advance estimate" of GDP for that quarter. The St. Louis Fed constructs a quarterly time series for this dataset, in which both historical and current observations values are combined. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA's release of the advance estimate of GDP) is the static, historical value for that quarter.\r\n\r\nFor futher information visit the Federal Reserve Bank of Atlanta (https://www.frbatlanta.org/cqer/research/gdpnow.aspx?panel=1). #> 90 BEA Account Code: DDURRC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 91 Copyright, 2016, Cabinet Office of Japan. #> 92 BEA Account Code: A067RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 93 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 94 BEA Account Code: A021RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 95 St. Louis Fed’s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA’s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W. “A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth" (https://research.stlouisfed.org/publications/review/2016/12/05/a-macroeconomic-news-index-for-constructing-nowcasts-of-u-s-real-gross-domestic-product-growth/ ) #> 96 OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: USA All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 97 BEA Account Code: A067RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 98 BEA Account Code: B020RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 99 BEA Account Code: DDURRC\n\n #> 100 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 101 BEA Account Code: A021RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 102 BEA Account Code: ND000342 #> 103 BEA Account Code: A067RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 104 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 105 BEA Account Code: NA000346 #> 106 BEA Account Code: NB000342 #> 107 BEA Account Code: NC000346 #> 108 BEA Account Code: A021RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 109 BEA Account Code: A067RP\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 110 BEA Account Code: A021RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 111 BEA Account Code: W013RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 112 Projections of real gross domestic product growth are fourth-quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https://fraser.stlouisfed.org/publication/?pid=677. #> 113 Gross Federal Debt as Percent of Gross Domestic Product (GFDGDPA188S) was first constructed by the Federal Reserve Bank of St. Louis in January 2013. It is calculated using Gross Federal Debt (FYGFD) and Gross Domestic Product (GDPA):\nGFDGDPA188S = (FYGFD/GDPA)*100 #> 114 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 115 BEA Account Code: OB000342 #> 116 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 117 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 118 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 119 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 120 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 121 BEA Account Code: DPCERE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 122 BEA Account Code: A822RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 123 BEA Account Code: B020RC\n\n #> 124 BEA Account Code: NA000352 #> 125 BEA Account Code: NC000352 #> 126 BEA Account Code: A053RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 127 BEA Account Code: DNDGRC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 128 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:US:P:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 129 BEA Account Code: A071RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 130 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 131 BEA Account Code: NA000283 #> 132 BEA Account Code: A071RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 133 All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).\n\nThis measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.\n\nGenerally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women's participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.\n\nThe series comes from the 'Current Employment Statistics (Establishment Survey).'\n\nThe source code is: CES0000000001 #> 134 BEA Account Code: W790RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 135 Federal Net Outlays as Percent of Gross Domestic Product (FYONGDA188S) was first constructed by the Federal Reserve Bank of St. Louis in January 2013. It is calculated using Federal Net Outlays (FYONET) and Gross Domestic Product (GDPA):\nFYONGDA188S= ((FYONET/1000)/GDPA)*100\nFYONET/1000 transforms FYONET from millions of dollars to billions of dollars. #> 136 <NA> #> 137 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 138 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IT\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 139 BEA Account Code: A020RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 140 BEA Account Code: A822RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 141 BEA Account Code: DNDGRC\n\n #> 142 BEA Account Code: A792RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 143 BEA Account Code: A822RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 144 BEA Account Code: DSERRC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 145 BEA Account Code: DPCERE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 146 BEA Account Code: A939RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 147 BEA Account Code: A939RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 148 BEA Account Code: NA000348 #> 149 BEA Account Code: A792RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 150 BEA Account Code: A822RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 151 BEA Account Code: NC000348 #> 152 BEA Account Code: ND000333 #> 153 BEA Account Code: A822RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 154 BEA Account Code: OB000333 #> 155 BEA Account Code: NB000333 #> 156 Source ID: labsh\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 157 BEA Account Code: A020RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 158 All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP). This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion. Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women's participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.\n\nThe series comes from the 'Current Employment Statistics (Establishment Survey).'\n\nThe source code is: CEU0000000001 #> 159 Copyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright"\n\nData prior to December 31, 1998 are in Millions of ECU.\n\nIncluded countries: Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, Slovenia, Slovakia and Finland. #> 160 BEA Account Code: A008RC\n\n #> 161 BEA Account Code: W790RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 162 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IT\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 163 BEA Account Code: B021RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 164 BEA Account Code: DSERRC\n\n #> 165 BEA Account Code: A020RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 166 BEA Account Code: A020RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 167 BEA Account Code: ND000352 #> 168 BEA Account Code: NA000350 #> 169 BEA Account Code: NC000350 #> 170 BEA Account Code: NB000352 #> 171 BEA Account Code: A020RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 172 BEA Account Code: OB000352 #> 173 BEA Account Code: A126RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 174 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FR\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 175 BEA Account Code: M318501\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 176 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 177 Federal Debt Held by the Public as Percent of Gross Domestic Product (FYGFGDQ188S) was first constructed by the Federal Reserve Bank of St. Louis in October 2012. It is calculated using Federal Debt Held by the Public (FYGFDPUN) and Gross Domestic Product, 1 Decimal (GDP):\nFYGFGDQ188S = ((FYGFDPUN/1000)/GDP)*100\nFYGFDPUN/1000 transforms FYGFDPUN from millions of dollars to billions of dollars. #> 178 BEA Account Code: A551RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 179 <NA> #> 180 The Global Economic Policy Uncertainty Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States..\r\n\r\nFor additional details, including an analysis of the performance of the model, see Baker, Scott, Nicholas Bloom and Steven Davis (2016), "Measuring Economic Policy Uncertainty" (https://www.policyuncertainty.com/media/EPU_BBD_Mar2016.pdf) #> 181 This measure uses a lagged break-adjusted measure of nominal GDP as the denominator.\n\nThis series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 182 The observation values for the 2015 and 2016 annual periods are forecasted values from the IMF staff. The forecasts reflect data available through early September 2015. In making their predictions, the staff has assumed that (i) established policies of national authorities will be maintained, (ii) the price of oil will average US$51.6 per barrel in 2015 and US$50.4 in 2016, and (ii) the 6-month London interbank offered rate (LIBOR) on U.S. dollar deposits will average 0.4 percent in 2015 and 1.2 percent in 2016.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 183 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 184 BEA Account Code: B021RC\n\n #> 185 Eurostat unit ID: CP_MEUR\nEurostat item ID = B1GQ\nEurostat country ID: EA19\n\nEuro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements.\n\nEA19: Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Greece, Slovenia, Cyprus, Malta, Slovakia, Estonia, Latvia, and Lithuania.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 186 BEA Account Code: A008RC\n\n #> 187 BEA Account Code: NA000336 #> 188 BEA Account Code: M318501\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 189 BEA Account Code: NA000342 #> 190 BEA Account Code: NC000342 #> 191 BEA Account Code: NC000336 #> 192 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 193 <NA> #> 194 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FR\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 195 BEA Account Code: B087RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 196 BEA Account Code: A126RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 197 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 198 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 199 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 200 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 201 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 202 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 203 BEA Account Code: A011RC\n\n #> 204 Crown Copyright, 2016. Source: Office for National Statistics licensed under the Open Government Licence v.1.0. #> 205 BEA Account Code: DDURRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 206 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 207 BEA Account Code: B087RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 208 BEA Account Code: ND000346 #> 209 BEA Account Code: A072RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 210 BEA Account Code: A794RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 211 BEA Account Code: A091RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 212 <NA> #> 213 BEA Account Code: A006RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 214 BEA Account Code: OB000346 #> 215 BEA Account Code: NA000300 #> 216 BEA Account Code: DDURRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 217 BEA Account Code: NB000346 #> 218 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 219 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 220 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: UK\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 221 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 222 BEA Account Code: A011RC\n\n #> 223 BEA Account Code: A008RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 224 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 225 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: UK\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 226 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 227 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 228 OECD descriptor ID: NAEXKP01\nOECD unit ID: GYSA\nOECD country ID: AUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 229 BEA Account Code: A072RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 230 This index measures the probability that the U.S. economy was in a recession during the indicated quarter. It is based on a mathematical description of the way that recessions differ from expansions. The index corresponds to the probability (measured in percent) that the underlying true economic regime is one of recession based on the available data. Whereas the NBER business cycle dates are based on a subjective assessment of a variety of indicators that may not be released until several years after the event, this index is entirely mechanical, is based solely on currently available GDP data and is reported every quarter. Due to the possibility of data revisions and the challenges in accurately identifying the business cycle phase, the index is calculated for the quarter just preceding the most recently available GDP numbers. Once the index is calculated for that quarter, it is never subsequently revised. The value at every date was inferred using only data that were available one quarter after that date and as those data were reported at the time.\n\nIf the value of the index rises above 67% that is a historically reliable indicator that the economy has entered a recession. Once this threshold has been passed, if it falls below 33% that is a reliable indicator that the recession is over.\n\nFor more information about this series visit http://econbrowser.com/recession-index. #> 231 <NA> #> 232 BEA Account Code: B075RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 233 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 234 Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06 #> 235 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: ES\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 236 BEA Account Code: A006RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 237 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 238 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 239 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DE\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 240 BEA Account Code: NA000308 #> 241 BEA Account Code: OB000336 #> 242 BEA Account Code: A008RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 243 BEA Account Code: B4701C\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 244 BEA Account Code: A124RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 245 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 246 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: SE\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 247 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EL\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 248 BEA Account Code: DPCERD\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 249 BEA Account Code: ND000336 #> 250 BEA Account Code: NB000336 #> 251 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 252 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 253 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 254 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 255 Eurostat unit ID: CLV10_MEUR\nEurostat item ID = B1GQ\nEurostat country ID: EA19\n\nSeasonally and calendar adjusted data.\n\nEuro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements.\n\nEA19: Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Greece, Slovenia, Cyprus, Malta, Slovakia, Estonia, Latvia, and Lithuania.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 256 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 257 BEA Account Code: W875RX\n\nThe current-dollar measure is deflated by the implicit price deflator for personal consumption expenditures. #> 258 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: ES\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 259 BEA Account Code: A822RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 260 BEA Account Code: W207RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 261 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 262 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 263 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 264 BEA Account Code: NA000322 #> 265 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 266 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 267 BEA Account Code: W875RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 268 BEA Account Code: A019RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 269 BEA Account Code: DPCERD\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 270 BEA Account Code: A019RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 271 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 272 BEA Account Code: BA06RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 273 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: SE\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 274 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EL\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 275 This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https://fred.stlouisfed.org/series/GDPC1\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 276 BEA Account Code: A019RX\n\n #> 277 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 278 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 279 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 280 BEA Account Code: A822RC\n\n #> 281 BEA Account Code: W207RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 282 BEA Account Code: A824RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 283 BEA Account Code: A051RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 284 Total amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes.\n\nTotal amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes. Table 16A (domestic debt amount): all issuers minus governments / GDP. End of year data (i.e. December data) are considered for debt securities. GDP is from World Development Indicators. (Bank for International Settlements)\n\nSource Code: GFDD.DM.03 #> 285 OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: CHN All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 286 Eurostat unit ID: CLV10_MEUR\nEurostat item ID = B1GQ\nEurostat country ID: EA19\n\nEuro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements.\n\nEA19: Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Greece, Slovenia, Cyprus, Malta, Slovakia, Estonia, Latvia, and Lithuania.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 287 BEA Account Code: NA000333 #> 288 BEA Account Code: A929RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 289 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 290 BEA Account Code: NC000333 #> 291 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 292 BEA Account Code: A019RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 293 This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https://fred.stlouisfed.org/series/GDPCA\n\nCautionary note on the use of data in millions of dollars -- The tables provided include estimates in millions of dollars for NIPA series that appear regularly in the national income and product account (NIPA) tables published in the Survey of Current Business. The Bureau of Economic Analysis (BEA) generally does not include estimates at this level of precision in the published tables because the associated sampling and nonsampling errors are larger than this implied level of precision. Compared with the published aggregates, the million-dollar estimates are generally not any more accurate. #> 294 This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https://fred.stlouisfed.org/series/GDPC1\n\nCautionary note on the use of data in millions of dollars -- The tables provided include estimates in millions of dollars for NIPA series that appear regularly in the national income and product account (NIPA) tables published in the Survey of Current Business. The Bureau of Economic Analysis (BEA) generally does not include estimates at this level of precision in the published tables because the associated sampling and nonsampling errors are larger than this implied level of precision. Compared with the published aggregates, the million-dollar estimates are generally not any more accurate. #> 295 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 296 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 297 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 298 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 299 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 300 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 301 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 302 BEA Account Code: W005RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 303 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: MEX\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 304 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: BRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 305 BEA Account Code: ND000374 #> 306 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 307 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IT\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 308 BEA Account Code: A929RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 309 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 310 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPCNA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 311 BEA Account Code: A261RC\r\nGross domestic income is an alternative way of measuring the nation's economy, by counting the incomes earned and costs incurred in production. In theory, GDI should equal gross domestic product, but the different source data yield different results. The difference between the two measures is known as the "statistical discrepancy." BEA considers GDP more reliable because it's based on timelier, more expansive data. #> 312 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 313 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 314 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IT\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 315 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 316 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 317 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 318 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 319 BEA Account Code: NA000304 #> 320 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 321 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 322 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 323 BEA Account Code: B075RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - http://www.bea.gov/national/pdf/nipaguid.pdf #> 324 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 325 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 326 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: TUR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 327 BEA Account Code: A927RC\n\n #> 328 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 329 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 330 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:US:N:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 331 BEA Account Code: A001RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 332 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 333 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 334 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 335 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 336 BEA Account Code: A001RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 337 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 338 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 339 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 340 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 341 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FR\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 342 BEA Account Code: A001RX\n\n #> 343 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 344 BEA Account Code: A001RD\n\nThe number of decimal places reported varies over time. A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 345 OECD descriptor ID: NAEXKP01\nOECD unit ID: GYSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 346 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 347 BEA Account Code: A001RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 348 BEA Account Code: A927RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 349 BEA Account Code: A001RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 350 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 351 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 352 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 353 OECD descriptor ID: NAEXKP01\nOECD unit ID: GYSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 354 <NA> #> 355 BEA Account Code: DPCCRV\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 356 BEA Account Code: A011RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 357 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 358 BEA Account Code: A001RI\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 359 BEA Account Code: A001RI\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 360 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:CN:P:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. For information specifying what comprises G20, Advanced Economies, Emerging Market Economies, and All Reporting Economies, visit https://www.bis.org/statistics/totcredit/tables_f.pdf #> 361 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FR\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 362 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 363 BEA Account Code: DSERRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 364 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 365 <NA> #> 366 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 367 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 368 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 369 Note: Over GDP, 1 US dollar (US$) = 1 international dollar (I$). Purchasing power parity is the number of currency units required to buy goods equivalent to what can be bought with one unit of the base country. We calculated our PPP over GDP. That is, our PPP is the national currency value of GDP divided by the real value of GDP in international dollars. International dollar has the same purchasing power over total U.S. GDP as the U.S. dollar in a given base year.\n\nFor more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: ppp #> 370 OECD descriptor ID: LORSGPOR OECD unit ID: GYSA OECD country ID: EA19 All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 371 BEA Account Code: A446RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 372 BEA Account Code: DNDGRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 373 BEA Account Code: DPCCRV\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 374 BEA Account Code: A822RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 375 BEA Account Code: ND000348 #> 376 BEA Account Code: DSERRL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 377 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 378 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 379 BEA Account Code: OB000348 #> 380 BEA Account Code: A011RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 381 BEA Account Code: ND000338 #> 382 BEA Account Code: ND000350 #> 383 BEA Account Code: DSERRO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 384 BEA Account Code: DNDGRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 385 BEA Account Code: DSERRX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 386 BEA Account Code: DSERRL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 387 BEA Account Code: NB000348 #> 388 BEA Account Code: OB000350 #> 389 BEA Account Code: NB000350 #> 390 BEA Account Code: A007RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 391 <NA> #> 392 <NA> #> 393 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 394 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 395 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 396 BEA Account Code: W987RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 397 BEA Account Code: A822RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 398 BEA Account Code: A794RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 399 OECD descriptor ID: BPBLTT01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 400 OECD descriptor ID: LORSGPOR OECD unit ID: IXOBSA OECD country ID: EA19 All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 401 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 402 BEA Account Code: A446RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 403 This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Provided that the underlying sources of the data are acknowledged and cited appropriately users are permitted to reproduce this series in their own work as it is based on Bank calculations and manipulations of underlying series that are the copyright of the Bank of England. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 404 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 405 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 406 Break-adjusted measure intended for users who need a series without classification or geographical breaks for use in appropriate econometric work where, for example, the series will be log-differenced or log-linearised around a trend.\n\nThis series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Provided that the underlying sources of the data are acknowledged and cited appropriately users are permitted to reproduce this series in their own work as it is based on Bank calculations and manipulations of underlying series that are the copyright of the Bank of England. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 407 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 408 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 409 Total value of all traded shares in a stock market exchange as a percentage of GDP. (Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.02 #> 410 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 411 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 412 <NA> #> 413 <NA> #> 414 Converted to U.S. dollars using 2011 purchasing power parities. For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes.\n\nBureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour. #> 415 BEA Account Code: A191RG\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 416 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 417 BEA Account Code: DHLCRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 418 BEA Account Code: A794RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 419 This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Provided that the underlying sources of the data are acknowledged and cited appropriately users are permitted to reproduce this series in their own work as it is based on Bank calculations and manipulations of underlying series that are the copyright of the Bank of England. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 420 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 421 This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 422 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 423 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 424 BEA Account Code: W987RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 425 OECD descriptor ID: BPBLTT01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 426 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 427 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 428 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 429 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: IDN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 430 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 431 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 432 <NA> #> 433 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 434 BEA Account Code: W019RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 435 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NO\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 436 BEA Account Code: DPCCRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 437 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NL\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 438 BEA Account Code: W825RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 439 BEA Account Code: DPCCRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 440 BEA Account Code: DHLCRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 441 BEA Account Code: W825RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 442 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NL\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 443 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 444 <NA> #> 445 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 446 BEA Account Code: B056RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 447 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 448 <NA> #> 449 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPJPA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 450 BEA Account Code: W070RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 451 BEA Account Code: Y694RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 452 BEA Account Code: Y033RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 453 Annual data observations begin 3 years before publication. Projected data include the year of publication and the subsequent 5 years. The data and projections presented are forecasted estimates by the IMF staff based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 454 BEA Account Code: W019RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 455 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NO\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 456 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 457 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 458 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 459 BEA Account Code: DPCCRG\n\nThe number of decimal places reported varies over time. #> 460 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 461 Federal Debt Held by Foreign & International Investors as Percent of Gross Domestic Product (HBFIGDQ188S) was first constructed by the Federal Reserve Bank of St. Louis in October 2012. It is calculated using Federal Debt Held by Foreign & International Investors (FDHBFIN) and Gross Domestic Product, 1 Decimal (GDP):\n(FDHBFIN/GDP)*100 #> 462 <NA> #> 463 <NA> #> 464 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 465 <NA> #> 466 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 467 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 468 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 469 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 470 BEA Account Code: Y033RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 471 BEA Account Code: Y694RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 472 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 473 BEA Account Code: W070RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 474 BEA Account Code: Y033RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 475 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 476 BEA Account Code: NA000328 #> 477 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 478 BEA Account Code: Y033RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 479 BEA Account Code: Y033RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 480 BEA Account Code: ND000340 #> 481 BEA Account Code: OB000340 #> 482 BEA Account Code: NB000340 #> 483 BEA Account Code: TRP600\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 484 BEA Account Code: A191RD\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 485 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 486 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 487 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 488 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 489 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 490 <NA> #> 491 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPDEA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 492 BEA Account Code: W024RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 493 BEA Account Code: DFDHRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 494 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPARA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 495 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 496 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 497 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 498 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 499 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 500 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 501 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: KOR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 502 BEA Account Code: G16029\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 503 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 504 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 505 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 506 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 507 BEA Account Code: A084RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 508 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 509 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 510 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 511 Projections of real gross domestic product growth are fourth-quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https://fraser.stlouisfed.org/publication/?pid=677. #> 512 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 513 BEA Account Code: B140RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 514 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: SE\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 515 BEA Account Code: A229RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 516 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 517 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 518 BEA Account Code: NA000284 #> 519 BEA Account Code: DFDHRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 520 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 521 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 522 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 523 BEA Account Code: W024RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 524 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: GBR\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 525 <NA> #> 526 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 527 BEA Account Code: A464RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 528 <NA> #> 529 BEA Account Code: W398RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 530 <NA> #> 531 BEA Account Code: A904RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 532 Gross Federal Debt Held by the Public as Percent of Gross Domestic Product (FYPUGDA188S) was first constructed by the Federal Reserve Bank of St. Louis in January 2013. It is calculated using Gross Federal Debt (FYGFDPUB) and Gross Domestic Product (GDPA):\nFYPUGDA188S= (FYGFDPUB/GDPA)*100 #> 533 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 534 <NA> #> 535 BEA Account Code: B140RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 536 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FI\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 537 BEA Account Code: DPCERY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 538 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EA19\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEA19: Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Greece, Slovenia, Cyprus, Malta, Slovakia, Estonia, Latvia, and Lithuania.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 539 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 540 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 541 BEA Account Code: A229RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 542 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 543 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 544 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: SE\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 545 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:US:H:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 546 BEA Account Code: A084RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 547 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 548 <NA> #> 549 <NA> #> 550 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 551 <NA> #> 552 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 553 BEA Account Code: A011RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 554 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 555 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 556 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 557 BEA Account Code: B020RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 558 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DK\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 559 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 560 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PL\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 561 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPCAA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 562 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 563 BEA Account Code: DPCERA\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 564 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FI\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 565 BEA Account Code: DPCERA\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 566 BEA Account Code: DPCERY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 567 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EA19\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEA19: Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Greece, Slovenia, Cyprus, Malta, Slovakia, Estonia, Latvia, and Lithuania.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 568 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 569 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: ES\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 570 BEA Account Code: A464RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 571 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 572 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 573 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 574 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 575 BEA Account Code: W986RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 576 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 577 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 578 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 579 BEA Account Code: DCAFRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 580 <NA> #> 581 <NA> #> 582 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 583 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 584 OECD descriptor ID: LORSGPTD OECD unit ID: STSA OECD country ID: USA All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 585 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 586 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 587 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: ES\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 588 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 589 BEA Account Code: A001RG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 590 Eurostat unit ID: CP_MNAC \n\nEurostat item ID = B1GQ \n\nEurostat country ID: EU27_2020 \n\nSeasonally and calendar adjusted data. \n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements. \n\nEuropean Union (27 countries from 2020) represents the 2020 reduction in the European Union countries due to the departure of the United Kindom. European Union (27 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia. \n\nCopyright, European Union, https://ec.europa.eu, 1995-2016. Complete terms of use are available here (https://ec.europa.eu/info/legal-notice_en#copyright). #> 591 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 592 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PL\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 593 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 594 BEA Account Code: B020RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 595 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: DK\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 596 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 597 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CH\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 598 BEA Account Code: A011RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 599 This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https://fred.stlouisfed.org/series/GDPSCDQ027S\n\nThe source ID is FA087005995.Q\n\nThis data appear in Table S.2.q of the 'Integrated Macroeconomic Accounts for the United States.'\n\nThese tables present a sequence of accounts that relate production, income and spending, capital formation, financial transactions, and asset revaluations to changes in net worth between balance sheets for the major sectors of the U.S. economy. They are part of an interagency effort to further harmonize the BEA National Income and Product Accounts (NIPAs) and the Federal Reserve Board Flow of Funds Accounts (FFAs). The structure of these tables is based on the internationally accepted set of guidelines for the compilation of national accounts that are offered in the System of National Accounts 1993 (SNA).\n\nCautionary note on the use of the integrated macroeconomic accounts (IMA) - The estimates that are provided on this page are based on a unique set of accounting standards that are founded on the SNA. Accordingly, some of the estimates in in the IMA tables will differ from the official estimates that are published in the NIPAs and FFAs due to conceptual differences. There will also be some statistical differences between the estimates in these tables and those in the related accounts. For further information on the conceptual differences, see the paper at https://www.bea.gov/data/special-topics/integrated-macroeconomic-accounts. #> 600 This series has been discontinued and will no longer be updated. The construction of this series was updated by the source with the release of Q3 2019 data, making it a duplicate of FRED series BOGZ1FA087005005A (https://fred.stlouisfed.org/series/BOGZ1FA087005005A), which will continue to be updated.\n\nSource ID: FA087005005.A\n\nFor more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).\n\nWith each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).\n\nIn the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA087005005&t=) provided by the source. #> 601 Eurostat unit ID: CP_MNAC \n\nEurostat item ID = B1GQ \n\nEurostat country ID: EU27_2020 \n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements. \n\nEuropean Union (27 countries from 2020) represents the 2020 reduction in the European Union countries due to the departure of the United Kindom. European Union (27 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia. \n\nCopyright, European Union, https://ec.europa.eu, 1995-2016. Complete terms of use are available here (https://ec.europa.eu/info/legal-notice_en#copyright). #> 602 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 603 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 604 <NA> #> 605 BEA Account Code: A034RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 606 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PT\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 607 Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03 #> 608 For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: cgnp #> 609 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates as of September 18, 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 610 Net lending (+)/ borrowing (-) is calculated as revenue minus total expenditure. This is a core Government Finance Statistics (GFS) balance that measures the extent to which general government is either putting financial resources at the disposal of other sectors in the economy and nonresidents (net lending), or utilizing the financial resources generated by other sectors and nonresidents (net borrowing). This balance may be viewed as an indicator of the financial impact of general government activity on the rest of the economy and nonresidents (Government Finance Statistics Manual 2001 (GFSM 2001), paragraph 4.17). Note: Net lending (+)/borrowing (-) is also equal to net acquisition of financial assets minus net incurrence of liabilities. A projection of this data can be found at https://fred.stlouisfed.org/series/GGNLBPUSA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 611 BEA Account Code: W206RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 612 BEA Account Code: A782RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 613 BEA Account Code: A001RV\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 614 Annual data observations begin 3 years before publication. Projected data include the year of publication and the subsequent 5 years. The data and projections presented are forecasted estimates by the IMF staff based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 615 This series has been discontinued and will no longer be updated. The construction of this series was updated by the source with the release of Q3 2019 data, making it a duplicate of FRED series BOGZ1FA087005005Q (https://fred.stlouisfed.org/series/BOGZ1FA087005005Q), which will continue to be updated.\n\nSource ID: FA087005005.Q\n\nFor more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).\n\nWith each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).\n\nIn the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA087005005&t=) provided by the source. #> 616 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EL\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 617 BEA Account Code: W986RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 618 BEA Account Code: A001RV\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 619 BEA Account Code: A007RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 620 This series has been discontinued and will no longer be updated. The construction of this series was updated by the source with the release of Q3 2019 data, making it a duplicate of FRED series BOGZ1FU087005005Q (https://fred.stlouisfed.org/series/BOGZ1FU087005005Q), which will continue to be updated.\n\nSource ID: FU087005005.Q\n\nFor more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).\n\nWith each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).\n\nIn the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU087005005&t=) provided by the source. #> 621 This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https://fred.stlouisfed.org/series/GDPSDCA027N\n\nThe source ID is FA087005995.A\n\nThis data appear in Table S.2.a of the 'Integrated Macroeconomic Accounts for the United States.'\n\nThese tables present a sequence of accounts that relate production, income and spending, capital formation, financial transactions, and asset revaluations to changes in net worth between balance sheets for the major sectors of the U.S. economy. They are part of an interagency effort to further harmonize the BEA National Income and Product Accounts (NIPAs) and the Federal Reserve Board Flow of Funds Accounts (FFAs). The structure of these tables is based on the internationally accepted set of guidelines for the compilation of national accounts that are offered in the System of National Accounts 1993 (SNA).\n\nCautionary note on the use of the integrated macroeconomic accounts (IMA) - The estimates that are provided on this page are based on a unique set of accounting standards that are founded on the SNA. Accordingly, some of the estimates in in the IMA tables will differ from the official estimates that are published in the NIPAs and FFAs due to conceptual differences. There will also be some statistical differences between the estimates in these tables and those in the related accounts. For further information on the conceptual differences, see the paper at https://www.bea.gov/data/special-topics/integrated-macroeconomic-accounts. #> 622 This series has been discontinued and will no longer be updated. The construction of this series was updated by the source with the release of Q3 2019 data, making it a duplicate of FRED series BOGZ1FU087005005A (https://fred.stlouisfed.org/series/BOGZ1FU087005005A), which will continue to be updated.\n\nSource ID: FU087005005.A\n\nFor more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).\n\nWith each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).\n\nIn the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU087005005&t=) provided by the source. #> 623 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 624 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 625 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 626 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 627 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:JP:P:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 628 BEA Account Code: A007RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 629 The All industry total includes all Private industries and Government.\n\nConsists of all counties in a state that are parts of metropolitan statistical areas.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 630 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: AT\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 631 BEA Account Code: A074RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 632 OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: DEU All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission. #> 633 Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06 #> 634 <NA> #> 635 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 636 BEA Account Code: B056RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 637 Federal Debt Held by Federal Reserve Banks as Percent of Gross Domestic Product (HBFRGDQ188S) was first constructed by the Federal Reserve Bank of St. Louis in October 2012. It is calculated using Federal Debt Held by Federal Reserve Banks (FDHBFRBN) and Gross Domestic Product, 1 Decimal (GDP):\nHBFRGDQ188S = (FDHBFRBN/GDP)*100 #> 638 BEA Account Code: G16037\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 639 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.\n\nSource Code: GFDD.OI.13 #> 640 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 641 BEA Account Code: G16085\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 642 <NA> #> 643 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 644 The World Uncertainty Index determines uncertainty using the frequency of the selfsame word in the quarterly Economist Intelligence Unit country reports.\n\nPlease see Hites Ahir, Nicholas Bloom and Davide Furceri (2018), 'The World Uncertainty Index' (https://www.policyuncertainty.com/media/WUI_mimeo_10_29.pdf) for additional explanation. #> 645 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 646 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 647 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 648 BEA Account Code: A782RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 649 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EL\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 650 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 651 BEA Account Code: W206RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 652 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 653 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 654 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 655 BEA Account Code: A032RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 656 BEA Account Code: ND000337 #> 657 BEA Account Code: NB000337 #> 658 BEA Account Code: OB000337 #> 659 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PT\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 660 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 661 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 662 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: ITA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 663 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 664 BEA Account Code: A577RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 665 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 666 BEA Account Code: A032RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 667 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 668 BEA Account Code: A063RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 669 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 670 The longer-run projections are the rates of growth, inflation, and unemployment to which a policymaker expects the economy to converge over time in the absence of further shocks and under appropriate monetary policy. Because appropriate monetary policy, by definition, is aimed at achieving the Federal Reserve's dual mandate of maximum employment and price stability in the longer run, policymakers' longer-run projections for economic growth and unemployment may be interpreted, respectively, as estimates of the economy's longer-run potential growth rate and the longer-run normal rate of unemployment; similarly, the longer-run projection of inflation is the rate of inflation which the FOMC judges to be most consistent with its dual mandate in the longer-term.\n\nProjections of real gross domestic product growth are fourth-quarter growth rates - that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https://fraser.stlouisfed.org/publication/?pid=677. #> 671 <NA> #> 672 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 673 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 674 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 675 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 676 Eurostat unit ID: CLV10_MEUR\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nSeasonally and calendar adjusted data.\n\nEuro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 677 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 678 BEA Account Code: A033RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 679 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 680 <NA> #> 681 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 682 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 683 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPITA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 684 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 685 BEA Account Code: A014RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 686 BEA Account Code: B235RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 687 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: AT\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 688 BEA Account Code: Y006RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 689 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 690 BEA Account Code: A074RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 691 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 692 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 693 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 694 BEA Account Code: NA000320 #> 695 BEA Account Code: A577RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 696 BEA Account Code: A063RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 697 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: NZL\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 698 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: CHN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 699 BEA Account Code: M318191\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 700 OECD descriptor ID: NAEXKP02\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 701 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 702 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 703 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: CHN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 704 BEA Account Code: M318191\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 705 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 706 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: BE\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 707 The Contributions to percent change in GDPNow: Real Gross Private Domestic Investment: Fixed Investment: Business: Equipment represents the contribution in percentage points that the nowcast for Gross Private Domestic Investment: Fixed Investment: Business: Equipment provides to real GDP growth. For any forecasts occurring on or before the second quarter of 2013, the Gross Private Domestic Investment: Fixed Investment: Business: Equipment was actually Equipment and Software. Currently, Gross Private Domestic Investment: Fixed Investment: Business: Equipment excludes Software. For further information visit the source at https://www.frbatlanta.org/cqer/research/gdpnow.aspx?panel=1. #> 708 Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06 #> 709 <NA> #> 710 Converted to U.S. dollars using 2011 purchasing power parities. For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes.\n\nBureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour. #> 711 <NA> #> 712 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 713 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 714 <NA> #> 715 <NA> #> 716 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 717 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 718 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 719 BEA Account Code: W823RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 720 OECD descriptor ID: NAEXKP02\nOECD unit ID: GPSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 721 OECD descriptor ID: NAEXKP02\nOECD unit ID: GYSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 722 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 723 BEA Account Code: NA000373 #> 724 BEA Account Code: Y006RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 725 BEA Account Code: W823RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 726 OECD descriptor ID: NAEXKP02\nOECD unit ID: IXOBSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 727 BEA Account Code: A014RC\n\n #> 728 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: CHN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 729 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 730 Eurostat unit ID: CLV10_MEUR\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nEuro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 731 BEA Account Code: B235RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 732 OECD descriptor ID: NAEXKP02\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 733 BEA Account Code: A262RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 734 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 735 OECD descriptor ID: NAEXKP02\nOECD unit ID: GYSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 736 OECD descriptor ID: NAEXKP02\nOECD unit ID: GPSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 737 OECD descriptor ID: NAEXKP02\nOECD unit ID: IXOBSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 738 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: JPN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 739 BEA Account Code: B703RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 740 Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06 #> 741 BEA Account Code: W388RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 742 <NA> #> 743 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 744 <NA> #> 745 BEA Account Code: B1448C1\r\n\r\nFor more information about this series, please see http://www.bea.gov/national/. #> 746 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 747 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 748 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 749 BEA Account Code: W457RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 750 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 751 Approximate percent difference from trend. The HP filter was applied to the natural logarithm of GDP and the cyclical component was then multiplied by 100. \n\nThis series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 752 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 753 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 754 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 755 <NA> #> 756 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 757 The observation values for the 2015 and 2016 annual periods are forecasted values from the IMF staff. The forecasts reflect data available through early September 2015. In making their predictions, the staff has assumed that (i) established policies of national authorities will be maintained, (ii) the price of oil will average US$51.6 per barrel in 2015 and US$50.4 in 2016, and (ii) the 6-month London interbank offered rate (LIBOR) on U.S. dollar deposits will average 0.4 percent in 2015 and 1.2 percent in 2016.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 758 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 759 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPBRA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 760 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: BE\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 761 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 762 BEA Account Code: A489RA\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 763 BEA Account Code: NA000251 #> 764 BEA Account Code: B703RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 765 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU28\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (28 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, Sweden, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia, Slovakia, Bulgaria, Romania, and Croatia.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 766 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FI\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 767 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:XM:P:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 768 Annual data observations begin 3 years before publication. Projected data include the year of publication and the subsequent 5 years. The data and projections presented are forecasted estimates by the IMF staff based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 769 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 770 BEA Account Code: W055RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 771 BEA Account Code: A489RA\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 772 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 773 <NA> #> 774 BEA Account Code: A019RY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 775 <NA> #> 776 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.\n\nSource Code: NY.GDP.PCAP.CD #> 777 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 778 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates as of September 18, 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 779 <NA> #> 780 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.\n\nSource Code: NY.GDP.PCAP.CD #> 781 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 782 BEA Account Code: A034RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 783 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 784 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 785 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 786 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 787 BEA Account Code: A955RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 788 BEA Account Code: DMOTRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 789 BEA Account Code: A466RD\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 790 BEA Account Code: W055RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 791 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: FI\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 792 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 793 BEA Account Code: A008RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 794 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CZ\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 795 BEA Account Code: A190RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 796 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 797 BEA Account Code: A466RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 798 BEA Account Code: A466RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 799 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 800 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: CZ\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 801 BEA Account Code: DGDSRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 802 BEA Account Code: A190RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 803 BEA Account Code: A008RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 804 BEA Account Code: A190RX\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 805 BEA Account Code: A190RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 806 BEA Account Code: A019RY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 807 BEA Account Code: DMOTRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 808 BEA Account Code: DGDSRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 809 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 810 BEA Account Code: B069RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 811 BEA Account Code: A955RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 812 BEA Account Code: NA000347 #> 813 BEA Account Code: A466RD\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 814 The observation values for the 2015 and 2016 annual periods are forecasted values from the IMF staff. The forecasts reflect data available through early September 2015. In making their predictions, the staff has assumed that (i) established policies of national authorities will be maintained, (ii) the price of oil will average US$51.6 per barrel in 2015 and US$50.4 in 2016, and (ii) the 6-month London interbank offered rate (LIBOR) on U.S. dollar deposits will average 0.4 percent in 2015 and 1.2 percent in 2016.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 815 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 816 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 817 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 818 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 819 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 820 BEA Account Code: A796RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 821 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 822 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 823 <NA> #> 824 <NA> #> 825 BEA Account Code: A679RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 826 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.\n\nSource Code: GFDD.OI.13 #> 827 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 828 The observation values for the 2015 and 2016 annual periods are forecasted values from the IMF staff. The forecasts reflect data available through early September 2015. In making their predictions, the staff has assumed that (i) established policies of national authorities will be maintained, (ii) the price of oil will average US$51.6 per barrel in 2015 and US$50.4 in 2016, and (ii) the 6-month London interbank offered rate (LIBOR) on U.S. dollar deposits will average 0.4 percent in 2015 and 1.2 percent in 2016.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 829 BEA Account Code: A190RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 830 BEA Account Code: A955RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 831 BEA Account Code: A955RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 832 BEA Account Code: NC000347 #> 833 BEA Account Code: B069RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 834 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 835 BEA Account Code: W170RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 836 BEA Account Code: DHUTRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 837 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IS\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 838 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPMXA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 839 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU15\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (15 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, and Sweden.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 840 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: EU15\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nEuropean Union (15 countries): Belgium, Denmark, Germany, Ireland, Greece, Spain, France, Italy, Luxembourg, the Netherlands, Portugal, the United Kingdom, Austria, Finland, and Sweden.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 841 Eurostat unit ID: CLV10_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: IS\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 842 BEA Account Code: DGDSRX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 843 BEA Account Code: DGDSRL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 844 BEA Account Code: W170RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 845 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 846 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 847 BEA Account Code: DHUTRC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 848 BEA Account Code: DGDSRO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 849 BEA Account Code: DGDSRL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 850 BEA Account Code: DGDSRX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 851 BEA Account Code: NB000347 #> 852 BEA Account Code: ND000347 #> 853 BEA Account Code: OB000347 #> 854 BEA Account Code: A041RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 855 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 856 BEA Account Code: A053RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 857 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 858 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 859 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 860 For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes.\n\nBureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour. #> 861 <NA> #> 862 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 863 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 864 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 865 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 866 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 867 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 868 For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: rgdpch #> 869 <NA> #> 870 Total value of all listed shares in a stock market as a percentage of GDP.\n\nValue of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data)\n\nSource Code: GFDD.DM.01 #> 871 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 872 <NA> #> 873 The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 874 <NA> #> 875 The All industry total includes all Private industries and Government.\n\nReal GDP by metropolitan area is an inflation-adjusted measure of each metropolitan area's gross product that is based on national prices for the goods and services produced within the metropolitan area.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 876 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 877 Ratio of assets of pension funds to GDP. A pension fund is any plan, fund, or scheme that provides retirement income.\n\nRatio of assets of pension funds to GDP. A pension fund is any plan, fund, or scheme that provides retirement income. Data taken from a variety of sources such as OECD, AIOS, FIAP and national sources. (World Bank - Non banking financial database)\n\nSource Code: GFDD.DI.13 #> 878 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nNations that are included in this data series are listed at https://datahelpdesk.worldbank.org/knowledgebase/articles/906519\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 879 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 880 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 881 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 882 The observation values for the 2015 and 2016 annual periods are forecasted values from the IMF staff. The forecasts reflect data available through early September 2015. In making their predictions, the staff has assumed that (i) established policies of national authorities will be maintained, (ii) the price of oil will average US$51.6 per barrel in 2015 and US$50.4 in 2016, and (ii) the 6-month London interbank offered rate (LIBOR) on U.S. dollar deposits will average 0.4 percent in 2015 and 1.2 percent in 2016.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 883 BEA Account Code: A014RY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 884 BEA Account Code: A455RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 885 BEA Account Code: DHLCRG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 886 BEA Account Code: W202RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 887 BEA Account Code: W171RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 888 BEA Account Code: Y001RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 889 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPUSA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 890 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PL\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 891 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NO\n\nSeasonally and calendar adjusted data.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 892 BEA Account Code: B009RX\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 893 Calculated as the ratio of quarterly nominal GDP (https://fred.stlouisfed.org/series/GDP)\nto the quarterly average of M2 money stock (https://fred.stlouisfed.org/series/M2SL).\n\nThe velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy.\nThe frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, traveler's checks [non-bank issuers], demand deposits, and checkable deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis.\nThe broader M2 component includes M1 in addition to saving deposits, certificates of deposit (less than $100,000), and money market deposits for individuals. Comparing the velocities of M1 and M2 provides some insight into how quickly the economy is spending and how quickly it is saving.\nMZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler's checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy. #> 894 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 895 BEA Account Code: A014RY\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 896 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 897 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: PL\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 898 BEA Account Code: ND000339 #> 899 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 900 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 901 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NO\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 902 BEA Account Code: A455RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 903 BEA Account Code: A009RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 904 BEA Account Code: A009RL\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 905 BEA Account Code: A009RO\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 906 BEA Account Code: DHLCRG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 907 BEA Account Code: W202RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 908 BEA Account Code: W171RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 909 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: DEU\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 910 BEA Account Code: NA000268 #> 911 BEA Account Code: NB000339 #> 912 BEA Account Code: OB000339 #> 913 BEA Account Code: Y001RE\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 914 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 915 <NA> #> 916 BEA Account Code: A923RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 917 BEA Account Code: Y033RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 918 Note: Over GDP, 1 US dollar (US$) = 1 international dollar (I$). Purchasing power parity is the number of currency units required to buy goods equivalent to what can be bought with one unit of the base country. We calculated our PPP over GDP. That is, our PPP is the national currency value of GDP divided by the real value of GDP in international dollars. International dollar has the same purchasing power over total U.S. GDP as the U.S. dollar in a given base year.\n\nFor more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: ppp #> 919 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.\n\nSource Code: GFDD.OI.13 #> 920 For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm. #> 921 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 922 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.\n\nSource Code: GFDD.OI.13 #> 923 GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data. #> 924 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 925 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates as of September 18, 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 926 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 927 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 928 OECD descriptor ID: NAGIGP01\nOECD unit ID: IXOBSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 929 Total amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes.\n\nTotal amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes. Table 16A (domestic debt amount): all issuers minus governments / GDP. End of year data (i.e. December data) are considered for debt securities. GDP is from World Development Indicators. (Bank for International Settlements)\n\nSource Code: GFDD.DM.03 #> 930 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 931 Converted to U.S. dollars using 2011 purchasing power parities. Data for Germany for years before 1991 pertain to the former West Germany. For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes.\n\nBureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour. #> 932 Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPAUA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 933 Net lending (+)/ borrowing (-) is calculated as revenue minus total expenditure. This is a core Government Finance Statistics (GFS) balance that measures the extent to which general government is either putting financial resources at the disposal of other sectors in the economy and nonresidents (net lending), or utilizing the financial resources generated by other sectors and nonresidents (net borrowing). This balance may be viewed as an indicator of the financial impact of general government activity on the rest of the economy and nonresidents (Government Finance Statistics Manual 2001 (GFSM 2001), paragraph 4.17). Note: Net lending (+)/borrowing (-) is also equal to net acquisition of financial assets minus net incurrence of liabilities. A projection of this data can be found at https://fred.stlouisfed.org/series/GGNLBPDEA188N.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 934 BEA Account Code: B057RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 935 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 936 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 937 Credit is provided by domestic banks, all other sectors of the economy and non-residents. The "private non-financial sector" includes non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households as defined in the System of National Accounts 2008. The series have quarterly frequency and capture the outstanding amount of credit at the end of the reference quarter. In terms of financial instruments, credit covers loans and debt securities.(1)\n\nThe combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review at https://www.bis.org/publ/qtrpdf/r_qt1303h.htm. (1)\n\nSource Code: Q:IT:P:A:M:770:A\n\n(1) Bank for International Settlements. "Long series on credit to private non-financial ://www.bis.org/statistics/credtopriv.htm\n\nCopyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.\n\nUnless otherwise specified, series values are market values. #> 938 BEA Account Code: DDURRG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 939 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 940 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 941 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 942 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 943 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: RUS\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 944 BEA Account Code: NA000314 #> 945 BEA Account Code: B057RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 946 BEA Account Code: DDURRG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 947 BEA Account Code: A923RC\n\nA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) #> 948 BEA Account Code: Y033RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 949 BEA Account Code: NA000340 #> 950 BEA Account Code: NC000340 #> 951 OECD descriptor ID: NAGIGP01\nOECD unit ID: IXOBSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 952 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 953 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 954 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: FRA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 955 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 956 OECD descriptor ID: XTEXVA01\nOECD unit ID: STSA\nOECD country ID: CAN\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 957 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS #> 958 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 959 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 960 This data series refers to China Version 2. Two estimates are provided for China and their rationale is discussed in the Detailed Documentation. One estimate is based mostly on ICP 2005 and national growth statistics and is labeled China1. China1 does incorporate a productivity adjustment that has been applied to all countries in ICP 2005. China2 also adjusts for the urban character of its prices in ICP 2005 and also adjusts the growth rate.\n\nNote: Over GDP, 1 US dollar (US$) = 1 international dollar (I$). Purchasing power parity is the number of currency units required to buy goods equivalent to what can be bought with one unit of the base country. We calculated our PPP over GDP. That is, our PPP is the national currency value of GDP divided by the real value of GDP in international dollars. International dollar has the same purchasing power over total U.S. GDP as the U.S. dollar in a given base year.\nFor more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: ppp #> 961 BEA Account Code: W369RG\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 962 Converted to U.S. dollars using 2011 purchasing power parities. Data for Germany for years before 1991 pertain to the former West Germany. For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes.\n\nBureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour. #> 963 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 964 BEA Account Code: B359RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 965 According to the source, value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus. #> 966 For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\nSource Indicator: rgdpch #> 967 The All industry total includes all Private industries and Government.\n\nGross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production.\n\nFor more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm. #> 968 Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05 #> 969 BEA Account Code: A4382C\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 970 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 971 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 972 Source ID: labsh\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 973 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 974 GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.\n\nWorld Bank national accounts data, and OECD National Accounts data files. #> 975 Source ID: rgdpna\n\nWhen using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt\n\nFor more information, see http://www.rug.nl/research/ggdc/data/pwt/. #> 976 Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 977 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 978 Annual data observations begin 8 years before the year of publication. Projected data include the year of publication and the subsequent 5 years. Data and projections presented are IMF staff forecast estimates based on data available through early September 2015.\n\nCopyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm. #> 979 This data series refers to China Version 1. Two estimates are provided for China and their rationale is discussed in the Detailed Documentation. One estimate is based mostly on ICP 2005 and national growth statistics and is labeled China1. China1 does incorporate a productivity adjustment that has been applied to all countries in ICP 2005. China2 also adjusts for the urban character of its prices in ICP 2005 and also adjusts the growth rate.\n\n\n\nFor more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\n\n\nSource Indicator: cgnp #> 980 BEA Account Code: B096RC\n\nFor more information about this series, please see http://www.bea.gov/national/. #> 981 Copyright, 2016, OECD. Reprinted with permission.\n\nAll OECD data should be cited as follows: OECD (2010), "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) #> 982 This measure uses a break-adjusted measure of nominal GDP as the denominator. \n\nThis series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources. #> 983 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NL\n\nSeasonally and calendar adjusted data.\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright #> 984 OECD descriptor ID: NAEXKP02\r\nOECD unit ID: STSA\r\nOECD country ID: IND\r\n\r\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\r\nCopyright, 2016, OECD. Reprinted with permission. #> 985 OECD descriptor ID: NAEXKP04\nOECD unit ID: STSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 986 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 987 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: ZAF\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 988 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: ZAF\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 989 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: ZAF\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 990 GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.\n\nSource Code: NY.GDP.MKTP.CD #> 991 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 992 This data series refers to China Version 2. Two estimates are provided for China and their rationale is discussed in the Detailed Documentation. One estimate is based mostly on ICP 2005 and national growth statistics and is labeled China1. China1 does incorporate a productivity adjustment that has been applied to all countries in ICP 2005. China2 also adjusts for the urban character of its prices in ICP 2005 and also adjusts the growth rate.\n\n\n\nFor more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1\n\n\n\nSource Indicator: cgnp #> 993 OECD descriptor ID: NAEXKP01\nOECD unit ID: GYSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 994 OECD descriptor ID: NAEXKP04\nOECD unit ID: GPSA\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 995 OECD descriptor ID: NAEXKP01\nOECD unit ID: GPSA\nOECD country ID: ZAF\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 996 OECD descriptor ID: NAEXKP02\nOECD unit ID: GYSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 997 OECD descriptor ID: NAEXKP02\nOECD unit ID: GPSA\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 998 OECD descriptor ID: NAEXKP01\nOECD unit ID: STSA\nOECD country ID: EA17\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 999 OECD descriptor ID: NAEXKP01\nOECD unit ID: IXOBSA\nOECD country ID: ZAF\n\nAll OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date)\nCopyright, 2016, OECD. Reprinted with permission. #> 1000 Eurostat unit ID: CP_MNAC\nEurostat item ID = B1GQ\nEurostat country ID: NL\n\nFor euro area member states, the national currency series are converted into euros using the irrevocably fixed exchange rate. This preserves the same growth rates than for the previous national currency series. Both series coincide for years after accession to the euro area but differ for earlier years due to market exchange rate movements.\n\nCopyright, European Union, http://ec.europa.eu, 1995-2016.Complete terms of use are available at http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright