Argentina vs China: GNI per capita, PPP

Argentina
31,920 current international $
in 2025
China
29,160 current international $
in 2025
Argentina rank
76th
China rank
79th

GNI per capita, PPP over time

  • Argentina
  • China
010.0k20.0k30.0k199020072025

How they compare

Argentina currently reports 31,920 current international $ against 29,160 current international $ in China, a difference of 2,760 current international $.

That makes Argentina's figure about 1.1 times China's.

Across all 36 years both countries report, Argentina has been ahead every year.

Argentina ranks 76th and China ranks 79th of 202 countries.

Argentina has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Argentina China Difference Ahead
1990s 9,622 current international $ 1,780 current international $ 7,842 current international $ Argentina
2000s 12,753 current international $ 5,235 current international $ 7,518 current international $ Argentina
2010s 20,147 current international $ 13,248 current international $ 6,899 current international $ Argentina
2020s 28,032 current international $ 23,798 current international $ 4,233 current international $ Argentina

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gni per capita, ppp, Argentina or China?
Argentina, at 31,920 current international $ against 29,160 current international $ in China as of 2025.
What is the difference in gni per capita, ppp between Argentina and China?
2,760 current international $, with Argentina ahead.
How many years of comparable data are there for Argentina and China?
36 years are reported by both, from 1990 to 2025.
How do Argentina and China rank globally for gni per capita, ppp?
Argentina ranks 76th and China ranks 79th of 202 countries.
Where does this data come from?
International Comparison Program (ICP), World Bank (WB), published as GNI per capita, PPP (current international $). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Argentina vs China: GNI per capita, PPP. Statizoid, drawing on International Comparison Program (ICP), World Bank (WB). Retrieved 27 August 2026, from https://economy.statizoid.com/compare/gni-per-capita-ppp-current-international/argentina/china/

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About this data

Indicator
GNI per capita, PPP (current international $)
Unit
current international $
Source
International Comparison Program (ICP), World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
249 places, 8,492 data points, 1990–2025
Last refreshed

This indicator provides values for gross national income (GNI) per person 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 national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. 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.