DEN GLOBALE INDEKSEN #023
BNP (PPP)2022
BNP konvertert ved bruk av kjøpekraftspariteter, uttrykt i gjeldende internasjonale dollar.
Topp 10
internasjonale $ · 2022Komplett rangering
Last ned CSV ↓| Rangering | Land/territorium | Verdi (internasjonale $) | År |
|---|---|---|---|
| 01 | 32 520 203 910 365 | 2022 | |
| 02 | 26 054 614 000 000 | 2022 | |
| 03 | 12 744 841 181 382 | 2022 | |
| 04 | 6 161 900 725 613 | 2022 | |
| 05 | 6 005 391 634 783 | 2022 | |
| 06 | 5 794 969 081 509 | 2022 | |
| 07 | 4 179 567 285 875 | 2022 | |
| 08 | 4 076 201 681 999 | 2022 | |
| 09 | 3 982 443 152 481 | 2022 | |
| 10 | 3 887 336 263 730 | 2022 | |
| 11 | 3 392 326 818 246 | 2022 | |
| 12 | 3 379 175 362 343 | 2022 | |
| 13 | 2 975 527 888 555 | 2022 | |
| 14 | 2 868 310 039 875 | 2022 | |
| 15 | 2 501 262 353 908 | 2022 | |
| 16 | 2 460 149 125 630 | 2022 | |
| 17 | 2 315 221 957 194 | 2022 | |
| 18 | 1 973 524 921 379 | 2022 | |
| 19 | 1 852 965 137 170 | 2022 | |
| 20 | 1 722 431 295 219 | 2022 | |
| 21 | 1 719 920 190 001 | 2022 | |
| 22 | 1 595 798 215 246 | 2022 | |
| 23 | 1 570 509 884 131 | 2022 | |
| 24 | 1 442 546 145 862 | 2022 | |
| 25 | 1 431 168 528 200 | 2022 | |
| 26 | 1 391 834 585 371 | 2022 | |
| 27 | 1 385 855 161 107 | 2022 | |
| 28 | 1 353 340 950 405 | 2022 | |
| 29 | 1 194 025 047 009 | 2022 | |
| 30 | 1 154 429 198 732 | 2022 | |
| 31 | 1 078 943 239 346 | 2022 | |
| 32 | 919 876 345 622 | 2022 | |
| 33 | 830 573 401 100 | 2022 | |
| 34 | 814 085 453 045 | 2022 | |
| 35 | 804 520 212 618 | 2022 | |
| 36 | 799 645 180 388 | 2022 | |
| 37 | 756 225 458 497 | 2022 | |
| 38 | 721 794 446 246 | 2022 | |
| 39 | 720 070 091 900 | 2022 | |
| 40 | 719 030 002 512 | 2022 | |
| 41 | 708 957 430 194 | 2022 | |
| 42 | 697 566 522 842 | 2022 | |
| 43 | 653 604 985 281 | 2022 | |
| 44 | 634 124 482 694 | 2022 | |
| 45 | 604 558 869 762 | 2022 | |
| 46 | 569 620 243 726 | 2022 | |
| 47 | 565 056 269 806 | 2022 | |
| 48 | 558 159 201 572 | 2022 | |
| 49 | 512 441 744 847 | 2022 | |
| 50 | 503 870 364 450 | 2022 | |
| 51 | 472 153 682 092 | 2022 | |
| 52 | 463 707 887 262 | 2022 | |
| 53 | 424 855 824 380 | 2022 | |
| 54 | 411 748 589 273 | 2022 | |
| 55 | 377 659 987 555 | 2022 | |
| 56 | 356 652 078 689 | 2022 | |
| 57 | 352 773 835 863 | 2022 | |
| 58 | 345 218 298 185 | 2022 | |
| 59 | 334 021 676 927 | 2022 | |
| 60 | 326 588 931 595 | 2022 | |
| 61 | 319 128 744 857 | 2022 | |
| 62 | 314 779 558 546 | 2022 | |
| 63 | 308 081 731 002 | 2022 | |
| 64 | 276 522 078 537 | 2022 | |
| 65 | 274 818 582 712 | 2022 | |
| 66 | 270 845 949 260 | 2022 | |
| 67 | 262 307 820 041 | 2022 | |
| 68 | 252 587 693 505 | 2022 | |
| 69 | 238 906 456 799 | 2022 | |
| 70 | 238 331 841 189 | 2022 | |
| 71 | 234 814 142 582 | 2022 | |
| 72 | 232 169 762 817 | 2022 | |
| 73 | 228 681 533 165 | 2022 | |
| 74 | 225 577 447 539 | 2022 | |
| 75 | 204 205 140 580 | 2022 | |
| 76 | 201 552 948 102 | 2022 | |
| 77 | 174 228 119 138 | 2022 | |
| 78 | 165 673 537 392 | 2022 | |
| 79 | 165 021 465 828 | 2022 | |
| 80 | 162 802 171 508 | 2022 | |
| 81 | 162 419 619 811 | 2022 | |
| 82 | 159 868 582 748 | 2022 | |
| 83 | 151 613 609 848 | 2022 | |
| 84 | 148 606 710 170 | 2022 | |
| 85 | 145 937 660 770 | 2022 | |
| 86 | 143 431 971 451 | 2022 | |
| 87 | 143 363 103 384 | 2022 | |
| 88 | 138 092 348 396 | 2022 | |
| 89 | 136 658 687 208 | 2022 | |
| 90 | 131 218 740 918 | 2022 | |
| 91 | 122 479 348 512 | 2022 | |
| 92 | 118 996 706 244 | 2022 | |
| 93 | 112 013 968 517 | 2022 | |
| 94 | 110 508 337 429 | 2022 | |
| 95 | 110 233 561 503 | 2022 | |
| 96 | 110 180 384 541 | 2022 | |
| 97 | 95 953 334 617 | 2022 | |
| 98 | 94 024 583 669 | 2022 | |
| 99 | 88 595 964 160 | 2022 | |
| 100 | 86 692 951 273 | 2022 | |
| 101 | 86 135 058 870 | 2022 | |
| 102 | 83 374 527 035 | 2022 | |
| 103 | 79 950 717 708 | 2022 | |
| 104 | 77 389 616 149 | 2022 | |
| 105 | 76 202 334 926 | 2022 | |
| 106 | 74 573 019 177 | 2022 | |
| 107 | 71 200 528 075 | 2022 | |
| 108 | 70 604 897 093 | 2022 | |
| 109 | 69 539 629 820 | 2022 | |
| 110 | 69 388 143 492 | 2022 | |
| 111 | 66 255 084 264 | 2022 | |
| 112 | 64 784 560 253 | 2022 | |
| 113 | 59 532 386 775 | 2022 | |
| 114 | 57 087 996 760 | 2022 | |
| 115 | 56 884 923 385 | 2022 | |
| 116 | 56 311 372 895 | 2022 | |
| 117 | 54 275 535 286 | 2022 | |
| 118 | 52 885 260 370 | 2022 | |
| 119 | 52 491 614 650 | 2022 | |
| 120 | 52 468 514 465 | 2022 | |
| 121 | 52 242 538 954 | 2022 | |
| 122 | 51 654 575 587 | 2022 | |
| 123 | 48 733 593 846 | 2022 | |
| 124 | 48 589 146 461 | 2022 | |
| 125 | 48 421 249 980 | 2022 | |
| 126 | 46 765 903 773 | 2022 | |
| 127 | 45 957 048 815 | 2022 | |
| 128 | 45 872 323 475 | 2022 | |
| 129 | 45 092 847 739 | 2022 | |
| 130 | 45 035 551 556 | 2022 | |
| 131 | 44 350 094 740 | 2022 | |
| 132 | 43 618 881 781 | 2022 | |
| 133 | 43 471 387 013 | 2022 | |
| 134 | 41 576 390 620 | 2022 | |
| 135 | 40 111 976 664 | 2022 | |
| 136 | 37 332 327 693 | 2022 | |
| 137 | 37 244 157 638 | 2022 | |
| 138 | 36 571 691 929 | 2022 | |
| 139 | 33 814 851 320 | 2022 | |
| 140 | 33 745 743 033 | 2022 | |
| 141 | 32 711 102 161 | 2022 | |
| 142 | 32 622 831 000 | 2022 | |
| 143 | 32 197 667 472 | 2022 | |
| 144 | 31 612 656 171 | 2022 | |
| 145 | 31 080 110 139 | 2022 | |
| 146 | 30 806 720 904 | 2022 | |
| 147 | 29 258 503 368 | 2022 | |
| 148 | 26 674 277 297 | 2022 | |
| 149 | 26 457 836 152 | 2022 | |
| 150 | 26 017 863 486 | 2022 | |
| 151 | 24 662 615 549 | 2022 | |
| 152 | 17 491 558 758 | 2022 | |
| 153 | 14 669 668 860 | 2022 | |
| 154 | 14 623 662 059 | 2022 | |
| 155 | 12 961 606 131 | 2022 | |
| 156 | 12 510 425 132 | 2022 | |
| 157 | 11 989 913 321 | 2022 | |
| 158 | 11 934 312 717 | 2022 | |
| 159 | 11 761 676 282 | 2022 | |
| 160 | 9 087 877 269 | 2022 | |
| 161 | 8 085 590 250 | 2022 | |
| 162 | 7 844 558 870 | 2022 | |
| 163 | 7 527 895 080 | 2022 | |
| 164 | 6 792 769 517 | 2022 | |
| 165 | 6 311 660 372 | 2022 | |
| 166 | 6 207 661 682 | 2022 | |
| 167 | 6 197 503 668 | 2022 | |
| 168 | 5 884 291 963 | 2022 | |
| 169 | 5 865 550 320 | 2022 | |
| 170 | 5 456 542 512 | 2022 | |
| 171 | 5 420 414 259 | 2022 | |
| 172 | 5 248 001 092 | 2022 | |
| 173 | 4 926 921 602 | 2022 | |
| 174 | 4 492 347 933 | 2022 | |
| 175 | 4 390 522 905 | 2022 | |
| 176 | 4 368 281 936 | 2022 | |
| 177 | 4 289 715 331 | 2022 | |
| 178 | 4 057 079 114 | 2022 | |
| 179 | 3 502 316 390 | 2022 | |
| 180 | 3 096 796 333 | 2022 | |
| 181 | 2 763 086 051 | 2022 | |
| 182 | 2 562 998 893 | 2022 | |
| 183 | 2 054 400 770 | 2022 | |
| 184 | 2 050 794 454 | 2022 | |
| 185 | 1 949 659 091 | 2022 | |
| 186 | 1 840 135 827 | 2022 | |
| 187 | 1 488 421 075 | 2022 | |
| 188 | 1 487 229 978 | 2022 | |
| 189 | 1 385 314 539 | 2022 | |
| 190 | 1 365 235 820 | 2022 | |
| 191 | 1 256 268 806 | 2022 | |
| 192 | 1 226 743 053 | 2022 | |
| 193 | 766 381 099 | 2022 | |
| 194 | 458 231 574 | 2022 | |
| 195 | 437 018 707 | 2022 | |
| 196 | 309 273 384 | 2022 | |
| 197 | 297 820 262 | 2022 | |
| 198 | 151 928 739 | 2022 | |
| 199 | 53 990 102 | 2022 |
Ingen samsvarende land.
Hvordan denne rangeringen fungerer
For årlig statistikk er standard det nyeste året som dekker minst 70 % av den maksimale tilgjengelige landsdekningen, og minst 20 økonomier der det er mulig. En rangering bruker ett års eller rapportutgave; manglende observasjoner erstattes ikke med et nytt år. Nyere år med lavere dekning kan velges.
Forsettlige drapsrater og fredspoeng rangerer fra lavest til høyest; andre indikatorer rangerer fra høyeste til laveste. Rangeringer bruker opprinnelige verdier og konkurranserangering for uavgjort, for eksempel 1, 2, 2, 4. Filtrering eller endring av visningsrekkefølgen beregner ikke globale rangeringer på nytt. Høyere verdier er ikke nødvendigvis bedre.
Statistikk gjenspeiler øyeblikksbildet av den offentlige kilden, ikke direkte målinger. Noen serier er modellerte estimater eller flerårige gjennomsnitt. Se originale metadata.
Ingen observasjon (18)
Amerikansk Samoa · Cuba · De britiske jomfruøyene · Eritrea · Fransk Polynesia · Gibraltar · Guam · Jemen · Kanaløyene · Liechtenstein · Man · Monaco · Nord-Korea · Nord-Marianene · Ny-Caledonia · Saint-Martin · Sør-Sudan · Venezuela
Kilde og definisjon
- Indikatordefinisjon
- BNP konvertert ved bruk av kjøpekraftspariteter, uttrykt i gjeldende internasjonale dollar.
- Enhet
- internasjonale $
- Kilde og definisjon
- World Bank ·
NY.GDP.MKTP.PP.CD
Originale metadata
This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.
Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
{
"id": "NY.GDP.MKTP.PP.CD",
"name": "GDP, PPP (current international $)",
"unit": "",
"source": {
"id": "2",
"value": "World Development Indicators"
},
"sourceNote": "This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.",
"sourceOrganization": "International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, date accessed: Periodical update;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD, date accessed: Periodical update;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)",
"topics": [
{
"id": "3",
"value": "Economy & Growth"
}
]
}