Top 10 largest economies by nominal GDP in 2024
Daily Tens #78 · Tuesday, September 29, 2026 · Ranked by gdp in current us dollars
Heads up: the answers are published further down this page.
About this ranking
The GDP question compares total economic output in current US dollars for 2024, using the World Bank snapshot checked in September 2026. It is a nominal GDP ranking. It is not adjusted for purchasing-power differences, divided by population or converted into a growth-rate table. The chart uses the saved numerical observations, with values displayed in trillions of US dollars.
The answers
| Rank | Answer | 2024 GDP (current US$) |
|---|---|---|
| 1 | United States | 29,298,013,000,000 |
| 2 | China | 18,729,668,435,848 |
| 3 | Germany | 4,685,592,577,804.69 |
| 4 | Japan | 4,190,008,188,358.57 |
| 5 | India | 3,760,813,470,500.86 |
| 6 | United Kingdom | 3,695,539,513,534.15 |
| 7 | France | 3,160,442,622,465.08 |
| 8 | Italy | 2,383,435,562,458.12 |
| 9 | Canada | 2,270,076,189,683.46 |
| 10 | Russia | 2,186,462,268,813.08 |
Values follow the dated source snapshot and the original answer order. Rounding is for display only; the ranking uses the stored values.
Nominal GDP in 2024
US dollars, trillions · Linear scale starting at zero
- United States 29.30
- China 18.73
- Germany 4.69
- Japan 4.19
- India 3.76
- United Kingdom 3.70
- France 3.16
- Italy 2.38
- Canada 2.27
- Russia 2.19
World Bank 2024 current-US-dollar figures from the September 6, 2026 review snapshot. Trillion-dollar labels are rounded; PPP, per-capita figures and aggregates are not included.
Data: World Bank: 2024 nominal GDP. Chart by Daily Tens.
Nominal dollars and purchasing power
Current-dollar GDP converts output valued at current prices into US dollars. Exchange rates therefore affect the international comparison. A currency’s dollar value can change even when the volume of goods and services does not move by the same amount. A purchasing-power-parity comparison instead uses price-level adjustments to compare what money can buy. Both measures are useful, but they answer different questions and can place large economies in a different order. The title’s nominal qualifier identifies which interpretation belongs to this puzzle.
Total GDP is not income per person
A large population can contribute to a large total economy. Dividing GDP by population creates GDP per capita, which would favour a different candidate set and still would not equal each resident’s personal income. Nor does a high total tell us how income is distributed. This puzzle’s United States and China values illustrate the scale of two large economies, while the other rows show a substantial drop in total size. The chart compares aggregate production, rather than living standards or household purchasing power.
What the frozen source includes
The source API contains countries, reporting regions and aggregate groups. Regional and income-group totals are excluded so they do not compete with their constituent economies. Missing observations are excluded rather than treated as zero. The ten saved values are kept in their original order even if the World Bank later revises the series. The observation year, source-check date and puzzle publication date are separate pieces of information. Rounded trillion-dollar labels help readability, but the bar lengths use the underlying stored values. This is a historical data explanation, and it does not infer future growth or investment returns from one year’s GDP ranking.
A comparison calculated from the saved figures
Adding the United States and China figures gives about $48.03 trillion, while dividing them gives a US-to-China ratio of about 1.56. These calculations use the same 2024 current-dollar snapshot as the chart. They do not represent the countries’ combined share of world output unless a compatible world total is also supplied. This is why a total or a ratio can be supported by the ten-row table, whereas a global market-share claim would need an additional, consistently defined denominator.
Sources & further reading
Explanation updated . The puzzle’s original data date is listed below.
Sources & methodology
Spotted something wrong? Report an issue and we'll re-check the data.
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