Statistics of the World
218 countries. 335 country indicators from IMF, World Bank, and WHO, plus separate live market feeds.
Statistics of the World (SOTW) is the independent data platform at statisticsoftheworld.com. Compare countries using official statistics, inspect differences between sources, and download the data behind the charts.
Compare countriesGDP by countryAbout SOTWSources and methodology
| $32.38T | 341.8M | $94,430 | 2.3% | 3.2% | |
| $20.85T | 1.41B | $14,874 | 4.4% | 1.2% | |
| $5.45T | 83.5M | $65,303 | 0.8% | 2.7% | |
| $4.38T | 123.4M | $35,703 | 0.7% | 2.2% | |
| $4.26T | 69.5M | $61,056 | 0.8% | 3.2% | |
| $4.15T | 1.46B | $2,813 | 6.5% | 4.7% | |
| $3.60T | 68.7M | $52,083 | 0.9% | 1.8% | |
| $2.74T | 58.9M | $46,505 | 0.5% | 2.6% | |
| $2.66T | 143.5M | $18,525 | 1.1% | 5.6% | |
| $2.64T | 212.8M | $12,313 | 1.9% | 4.0% | |
| $2.51T | 41.7M | $60,305 | 1.5% | 2.5% | |
| $2.12T | 27.6M | $75,648 | 2.0% | 4.0% | |
| $2.12T | 131.9M | $15,779 | 1.6% | 3.9% | |
| $2.09T | 49.4M | $41,563 | 2.1% | 3.0% | |
| $1.93T | 51.7M | $37,412 | 1.9% | 2.5% | |
| $1.64T | 85.9M | $19,018 | 3.4% | 28.6% | |
| $1.54T | 285.7M | $5,362 | 5.0% | 3.0% | |
| $1.45T | 18.1M | $79,918 | 1.2% | 2.7% | |
| $1.39T | 37.0M | $37,811 | 3.1% | 2.3% | |
| $1.15T | 9.1M | $126,177 | 1.3% | 0.5% | |
| $1.13T | 36.4M | $31,336 | 3.3% | 3.3% | |
| $779.38B | 5.5M | $140,186 | 2.5% | 3.1% | |
| $776.73B | 11.9M | $65,112 | 0.7% | 2.8% | |
| $760.48B | 10.6M | $70,676 | 2.0% | 1.5% | |
| $719.85B | 10.1M | $69,804 | 3.5% | 2.3% | |
| $688.38B | 45.9M | $14,357 | 3.5% | 30.4% | |
| $659.57B | 6.1M | $107,758 | 3.5% | 2.3% | |
| $623.72B | 9.2M | $67,761 | 0.7% | 2.5% | |
| $621.55B | 11.5M | $54,214 | 3.1% | 2.5% | |
| $599.41B | 5.6M | $105,877 | 1.5% | 3.3% | |
| $580.00B | 71.6M | $8,105 | 1.5% | 0.9% | |
| $539.53B | 53.4M | $10,104 | 2.3% | 5.9% | |
| $527.27B | 101.6M | $5,115 | 7.1% | 4.9% | |
| $516.43B | 36.0M | $15,085 | 4.7% | 1.9% | |
| $512.22B | 116.8M | $4,443 | 4.1% | 4.3% | |
| $510.70B | 175.7M | $2,911 | 4.7% | 9.2% | |
| $503.77B | 6.0M | $83,445 | 2.0% | 2.0% | |
| $480.83B | 19.0M | $25,693 | 0.7% | 7.8% | |
| $479.96B | 64.7M | $7,503 | 1.0% | 3.9% | |
| $450.14B | 7.5M | $59,640 | 2.4% | 2.1% | |
| $432.60B | 10.9M | $39,795 | 2.2% | 2.4% | |
| $429.64B | 118.4M | $3,904 | 4.2% | 13.2% | |
| $407.85B | 19.9M | $20,240 | 2.4% | 2.9% | |
| $407.79B | 255.2M | $1,696 | 3.6% | 7.2% | |
| $380.90B | 34.6M | $10,960 | 2.8% | 2.5% | |
| $380.64B | 10.8M | $35,434 | 1.9% | 3.1% | |
| $377.37B | 237.5M | $1,556 | 4.1% | 16.0% | |
| $360.46B | 20.8M | $17,503 | 4.6% | 10.7% | |
| $337.67B | 5.6M | $60,130 | 1.0% | 2.5% | |
| $317.17B | 47.4M | $6,628 | 3.8% | 2.9% | |
| $307.55B | 10.4M | $29,696 | 1.8% | 3.5% | |
| $300.29B | 92.4M | $3,415 | -6.1% | 68.9% | |
| $278.64B | 5.3M | $52,023 | 2.1% | 3.1% | |
| $271.12B | 9.5M | $28,430 | 1.7% | 3.8% | |
| $264.78B | 47.0M | $5,677 | -6.8% | 3.0% | |
| $225.34B | 39.0M | $6,980 | 2.0% | 6.1% | |
| $217.42B | 3.0M | $68,138 | -8.6% | 3.9% | |
| $194.33B | 38.4M | $5,107 | 4.9% | 1.3% | |
| $181.50B | 37.1M | $4,661 | 6.5% | 7.0% | |
| $172.92B | 4.9M | $33,164 | -0.6% | 2.8% | |
| $168.90B | 5.4M | $31,242 | 0.6% | 4.2% | |
| $152.35B | 39.0M | $3,754 | 2.3% | 12.9% | |
| $148.12B | 6.4M | $23,848 | 2.8% | 3.8% | |
| $147.26B | 57.5M | $2,714 | 4.5% | 5.9% | |
| $138.19B | 18.3M | $7,575 | 2.5% | 2.9% | |
| $136.15B | 11.5M | $12,406 | 3.7% | 5.1% | |
| $129.01B | 3.2M | $40,650 | -0.1% | 2.1% | |
| $128.89B | 18.7M | $6,810 | 3.9% | 2.6% | |
| $123.41B | 112.8M | $1,122 | 5.9% | 3.3% | |
| $121.53B | 135.5M | $1,081 | 9.2% | 11.8% | |
| $118.29B | 35.1M | $3,314 | 4.8% | 5.8% | |
| $117.18B | 5.5M | $21,645 | 3.5% | 1.7% | |
| $116.57B | 3.9M | $30,030 | 2.6% | 4.4% | |
| $112.11B | 32.7M | $3,313 | 6.2% | 1.8% | |
| $112.03B | 6.5M | $17,252 | 2.8% | 5.2% | |
| $111.30B | 28.5M | $4,140 | 4.0% | 387.4% | |
| $110.42B | 686,970 | $158,733 | 1.6% | 2.1% | |
| $109.93B | 5.2M | $20,299 | 3.6% | -0.4% | |
| $105.91B | 2.9M | $36,545 | 2.9% | 4.0% | |
| $102.04B | 9.1M | $11,286 | 1.2% | 6.4% | |
| $98.96B | 21.8M | $4,516 | 5.0% | 1.2% | |
| $96.09B | 3.4M | $27,608 | 1.8% | 4.0% | |
| $95.02B | 4.6M | $20,564 | 3.8% | 1.4% | |
| $94.89B | 70.5M | $1,362 | 5.9% | 4.0% | |
| $86.73B | 2.1M | $40,630 | 2.0% | 2.9% | |
| $83.83B | 54.9M | $1,519 | 3.0% | 19.0% | |
| $83.06B | 7.6M | $12,300 | 2.6% | 3.9% | |
| $80.74B | 12.6M | $6,333 | -3.3% | 20.7% | |
| $78.37B | 10.2M | $7,467 | 2.2% | 6.0% | |
| $73.37B | 51.4M | $1,476 | 7.5% | 4.0% | |
| $65.14B | 29.9M | $2,125 | 3.3% | 3.5% | |
| $64.91B | 11.5M | $5,601 | 2.7% | 2.3% | |
| $60.74B | 12.3M | $4,893 | 2.1% | 6.5% | |
| $60.54B | 7.0M | $9,372 | 4.2% | 3.3% | |
| $56.71B | 17.0M | $3,199 | 5.0% | 8.0% | |
| $54.23B | 685,900 | $76,446 | 3.0% | 1.8% | |
| $53.69B | 1.8M | $28,913 | 2.2% | 3.0% | |
| $52.45B | 7.5M | $6,962 | 6.7% | 10.5% | |
| $52.38B | 17.8M | $2,902 | 4.0% | 3.0% | |
| $51.63B | 1.4M | $37,718 | 1.4% | 3.8% | |
| $48.85B | 1.6M | $29,569 | -0.5% | 2.4% | |
| $45.84B | 29.6M | $1,548 | 3.0% | 3.1% | |
| $45.17B | 1.4M | $45,409 | 3.0% | 2.6% | |
| $44.69B | 51.7M | $864 | 0.7% | 75.1% | |
| $43.80B | 392,404 | $110,048 | 1.9% | 4.8% | |
| $42.72B | 3.9M | $11,574 | 5.3% | 4.4% | |
| $41.51B | 11.0M | $3,711 | 3.3% | 4.4% | |
| $41.24B | 21.9M | $1,831 | 4.3% | 9.0% | |
| $40.47B | 18.9M | $2,054 | 2.2% | 2.5% | |
| $39.84B | 6.4M | $6,196 | 3.3% | 2.5% | |
| $39.18B | 11.9M | $3,079 | -1.7% | 23.5% | |
| $36.77B | 3.1M | $10,701 | 2.2% | 4.5% | |
| $34.50B | 5.8M | $6,443 | 4.0% | 14.6% | |
| $34.40B | 10.8M | $2,632 | 3.8% | 5.0% | |
| $33.96B | 835,986 | $33,167 | 16.2% | 4.1% | |
| $33.85B | 25.2M | $1,301 | 5.5% | 2.2% | |
| $33.33B | 2.3M | $12,493 | 3.4% | 3.4% | |
| $32.51B | 24.1M | $1,319 | 4.9% | 1.5% | |
| $31.87B | 3.1M | $10,410 | 5.3% | 3.6% | |
| $30.71B | 579,704 | $53,560 | 3.7% | 2.5% | |
| $29.93B | 15.1M | $1,848 | 8.7% | 4.1% | |
| $28.45B | 3.6M | $7,853 | 5.3% | 7.4% | |
| $27.79B | 14.8M | $1,809 | 7.0% | 2.0% | |
| $26.84B | 1.4M | $18,616 | 0.8% | 1.8% | |
| $25.63B | 21.0M | $1,315 | 5.2% | 0.5% | |
| $24.81B | 27.9M | $822 | 6.7% | 0.4% | |
| $24.23B | 7.0M | $3,559 | 3.8% | 3.5% | |
| $23.61B | 7.3M | $3,202 | 6.1% | 10.6% | |
| $23.36B | 2.6M | $9,918 | 2.7% | 2.5% | |
| $23.27B | 35.6M | $632 | 0.5% | 4.4% | |
| $23.03B | 2.8M | $8,356 | -1.2% | 6.1% | |
| $21.94B | 2.6M | $8,490 | 4.7% | 5.1% | |
| $21.89B | 2.4M | $9,354 | 1.9% | 6.4% | |
| $21.61B | 1.8M | $11,967 | 3.1% | 4.5% | |
| $21.18B | 32.7M | $656 | 3.6% | 8.3% | |
| $20.42B | 10.8M | $1,939 | 6.0% | 4.0% | |
| $19.66B | 43.8M | $448 | 3.0% | 2.9% | |
| $18.96B | 7.9M | $2,403 | 4.0% | 9.6% | |
| $18.15B | 22.2M | $733 | 2.2% | 24.4% | |
| $17.34B | 14.6M | $1,198 | 7.2% | 5.6% | |
| $17.31B | 3.1M | $5,573 | 2.4% | 3.9% | |
| $17.12B | 1.2M | $13,812 | 3.4% | 3.7% | |
| $17.04B | 403,033 | $40,892 | 2.1% | 1.6% | |
| $17.03B | 6.5M | $2,554 | 2.8% | 2.8% | |
| $16.86B | 466,330 | $36,288 | 2.6% | 1.6% | |
| $14.35B | 5.3M | $3,033 | 4.4% | 4.1% | |
| $14.17B | 19.7M | $813 | 2.6% | 5.9% | |
| $13.72B | 1.9M | $8,152 | -2.7% | 3.2% | |
| $13.44B | 8.6M | $1,341 | 5.0% | 2.8% | |
| $10.23B | 623,129 | $16,377 | 2.8% | 3.2% | |
| $9.44B | 41,024 | $226,809 | -0.4% | 0.5% | |
| $8.48B | 282,623 | $29,020 | 2.5% | 2.3% | |
| $8.27B | 8.8M | $919 | 4.5% | 7.5% | |
| $8.14B | 14.4M | $546 | 3.8% | 14.5% | |
| $8.13B | 529,676 | $19,464 | 3.0% | 3.0% | |
| $7.43B | 41.8M | $384 | 0.5% | 26.5% | |
| $6.35B | 933,154 | $6,802 | 2.4% | 2.2% | |
| $6.07B | 12.2M | $488 | 4.1% | 14.0% | |
| $5.91B | 639,850 | $8,856 | 3.9% | 11.8% | |
| $5.79B | 1.3M | $4,927 | 4.0% | 3.5% | |
| $5.64B | 5.7M | $964 | 5.1% | 5.7% | |
| $4.88B | 82,904 | $53,475 | 2.1% | 3.0% | |
| $4.72B | 1.2M | $4,421 | 6.0% | 1.5% | |
| $4.67B | 108,785 | $42,862 | 2.3% | 1.2% | |
| $3.86B | 796,682 | $4,867 | 7.5% | 4.0% | |
| $3.49B | 5.5M | $613 | 2.6% | 1.5% | |
| $3.45B | 422,924 | $8,134 | 2.2% | 1.5% | |
| $3.45B | 527,326 | $6,670 | 4.8% | 2.2% | |
| $2.98B | 2.2M | $1,449 | 4.9% | 2.5% | |
| $2.97B | 2.4M | $1,241 | 1.1% | 4.2% | |
| $2.79B | 2.8M | $953 | 5.1% | 5.8% | |
| $2.77B | 180,149 | $15,135 | 2.0% | 2.5% | |
| $2.42B | 34,109 | $70,187 | 1.3% | 2.8% | |
| $2.38B | 94,209 | $22,448 | 2.6% | 2.6% | |
| $2.25B | 122,730 | $17,675 | 1.5% | 2.6% | |
| $2.17B | 1.4M | $1,520 | 4.1% | 2.1% | |
| $1.84B | 838,645 | $2,258 | 2.8% | 3.2% | |
| $1.81B | 882,847 | $1,951 | 4.1% | 3.7% | |
| $1.48B | 117,303 | $12,689 | 3.1% | 1.3% | |
| $1.40B | 335,169 | $4,082 | 3.5% | 4.1% | |
| $1.38B | 219,306 | $6,455 | 3.2% | 2.5% | |
| $1.24B | 99,924 | $11,098 | 3.0% | 0.9% | |
| $1.16B | 240,254 | $4,739 | 3.4% | 9.6% | |
| $1.14B | 46,922 | $22,146 | 2.0% | 2.2% | |
| $791.0M | 65,871 | $10,459 | 3.1% | 3.0% | |
| $716.0M | 103,742 | $7,238 | 2.3% | 3.8% | |
| $521.0M | 113,683 | $5,514 | 0.7% | 3.2% | |
| $401.0M | 136,488 | $3,051 | 3.1% | 4.5% | |
| $377.0M | 17,663 | $21,571 | 3.3% | 5.9% | |
| $342.0M | 36,282 | $9,677 | 3.7% | 7.4% | |
| $196.0M | 12,025 | $16,053 | 2.1% | 5.5% | |
| $65.0M | 9,492 | $6,581 | 2.5% | 3.1% | |
| - | 46,029 | - | - | - | |
| - | 64,555 | - | - | - | |
| - | 39,732 | - | - | - | |
| - | 75,844 | - | - | - | |
| Channel Islands | - | 168,466 | - | - | - |
| - | 10.9M | - | - | - | |
| - | 156,263 | - | - | - | |
| - | 3.6M | - | - | - | |
| - | 54,900 | - | - | - | |
| - | 282,465 | - | - | - | |
| - | 40,126 | - | - | - | |
| - | 56,831 | - | - | - | |
| - | 168,999 | - | - | - | |
| - | 84,118 | - | - | - | |
| - | 26.6M | - | - | - | |
| - | 1.6M | - | - | - | |
| - | 38,341 | - | - | - | |
| - | 295,333 | - | - | - | |
| - | 43,541 | - | - | - | |
| - | 43,923 | - | - | - | |
| - | 24,941 | - | - | - | |
| - | 25.6M | - | - | - | |
| - | 46,855 | - | - | - | |
| - | 103,792 | - | - | - | |
| - | 5.4M | - | - | - | |
| World | - | - | - | - | - |
Global Economic Data — Free Access to 335 Indicators
Comprehensive Country Statistics
Statistics of the World aggregates economic, demographic, health, education, and environmental data for 218 countries from the world's most authoritative sources: the IMF World Economic Outlook, World Bank World Development Indicators, WHO Global Health Observatory, FRED (Federal Reserve Economic Data), and United Nations. Our database covers 335 country indicators, with historical data going back to 1960 for many series.
Each series retains its provider attribution and release context. We normalize identifiers, units, and response formats without using generative AI to invent observations. Coverage, update timing, and reuse terms vary by provider and series. Browsing and basic public API access are free; users should follow the original provider's citation and licensing requirements.
How to Use This Platform
Start by selecting a country to see its full economic profile — GDP, population, inflation, unemployment, government debt, life expectancy, and hundreds more indicators with interactive charts and historical trends. Use the rankings pages to compare countries on any indicator: which country has the highest GDP, the lowest unemployment, or the most CO₂ emissions per capita.
Build software with the REST API or connect an AI client through MCP. Retrieve country indicators and historical data with source attribution and reuse metadata. Basic access is free for 1,000 requests/day without a key; a free key adds a usage dashboard.
API Pro includes reviewed bulk datasets, the archived IMF forecast panel, email support, and 50,000 API and MCP requests/day for $49/month.
Read the numbers in context
Observation years vary by country and indicator. An IMF estimate or forecast is not the same as a reported World Bank observation. Check the year, units, and source before comparing values. Nominal GDP measures economic size at market exchange rates; GDP per capita and purchasing-power measures answer different questions.
Our country comparisons explain differences between source estimates. The forecast explorer distinguishes projections and revisions, and our citation guide helps you credit the original data providers.
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Country GDP guides: history, estimates and sources
Compare published readings, inspect observation years, and understand nominal dollar changes before using a ranking.