DR Congo GNI per Capita (Atlas)

Gross national income per capita using the Atlas method, current US dollars.

Latest available data

This page uses the latest available World Bank observation (2024). Country-level datasets often lag the current calendar year because they depend on official reporting and validation.

World Bank 2024
Current Value (2024)
670 US$
Global Ranking
#183 of 189
Data Coverage
1962–2024

Historical Trend

42 181.2 320.4 459.6 598.8 738 196219701978198619942002201020182024
Historical Trend

Overview

DR Congo's GNI per Capita (Atlas) was 670 US$ in 2024, ranking #183 out of 189 countries.

Between 1962 and 2024, DR Congo's GNI per Capita (Atlas) changed from 230 to 670 (191.3%).

Over the past decade, GNI per Capita (Atlas) in DR Congo changed by 52.3%, from 440 US$ in 2014 to 670 US$ in 2024.

Where is DR Congo?

DR Congo

Continent
Africa
Country
DR Congo
Coordinates
0.00°, 25.00°

Historical Data

Year Value
1962 230 US$
1963 270 US$
1964 230 US$
1965 230 US$
1966 220 US$
1967 220 US$
1968 220 US$
1969 230 US$
1970 240 US$
1971 270 US$
1972 280 US$
1973 350 US$
1974 430 US$
1975 460 US$
1976 430 US$
1977 460 US$
1978 510 US$
1979 600 US$
1980 640 US$
1981 560 US$
1982 480 US$
1983 410 US$
1984 340 US$
1985 260 US$
1986 250 US$
1987 240 US$
1988 250 US$
1989 240 US$
1990 230 US$
1991 190 US$
1992 200 US$
1993 200 US$
1994 150 US$
1995 140 US$
1996 120 US$
1997 110 US$
1998 110 US$
1999 100 US$
2000 130 US$
2001 130 US$
2002 180 US$
2003 160 US$
2004 180 US$
2005 190 US$
2006 220 US$
2007 260 US$
2008 300 US$
2009 300 US$
2010 320 US$
2011 330 US$
2012 380 US$
2013 410 US$
2014 440 US$
2015 460 US$
2016 460 US$
2017 440 US$
2018 460 US$
2019 460 US$
2020 480 US$
2021 530 US$
2022 610 US$
2023 680 US$
2024 670 US$

Global Comparison

Among all countries, Bermuda has the highest GNI per Capita (Atlas) at 145.2K US$, while Burundi has the lowest at 260 US$.

DR Congo is ranked just above Somalia (620 US$) and just below Niger (680 US$).

Definition

GNI per capita measures the average income of a country's citizens by calculating the total value produced by a nation's residents, including income from foreign sources, divided by the total midyear population. Unlike Gross Domestic Product (GDP), which focuses on production within physical borders, Gross National Income (GNI) accounts for the economic output of all citizens and businesses regardless of their geographic location. It encompasses the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income, such as compensation of employees and property income, from abroad. This indicator serves as a primary metric for assessing the standard of living and economic well-being of a nation's people. It is the core metric used by international organizations like the World Bank to categorize countries into income groups, such as low, middle, and high income. By reflecting the actual income available to residents, it provides a more comprehensive view of economic capacity than domestic production alone.

Formula

GNI per capita = (Gross Domestic Product + Net Income from Abroad) ÷ Midyear Population

Methodology

Data for GNI per capita is primarily sourced from national accounts compiled by central banks and national statistical offices. International organizations like the World Bank and the International Monetary Fund (IMF) harmonize this data to ensure cross-country comparability. The World Bank specifically utilizes the Atlas Method to reduce the impact of exchange rate fluctuations; this involves using a 3-year average of exchange rates, adjusted for inflation differences between the country and several major economies. Limitations include the exclusion of non-monetary transactions, such as subsistence farming and household labor, which are significant in many developing nations. Additionally, the indicator does not reflect income distribution within a country, meaning a high average can mask significant internal poverty. Data collection may also be less reliable in regions with large informal economies or limited administrative capacity.

Methodology variants

  • GNI (Atlas Method). Uses a specific conversion factor to smooth exchange rate fluctuations over 3 years, making it the standard for World Bank income classifications.
  • GNI (Purchasing Power Parity - PPP). Adjusts for price level differences between countries, reflecting what a local currency can actually purchase within the domestic economy.
  • Real GNI per capita. Adjusts nominal GNI for inflation to show changes in purchasing power over time using constant prices from a base period.

How sources differ

While the World Bank and IMF generally align, slight discrepancies arise from different population estimates or the timing of data revisions. The World Bank Atlas Method remains the definitive source for official country income classifications.

What is a good value?

GNI per capita levels above 13,845 USD are typically considered high income, while levels below 1,135 USD indicate low-income status. A rising GNI per capita generally suggests improving living standards, and a figure of at least 40,000 USD is common among the most advanced economies.

World ranking

GNI per Capita (Atlas) ranking for 2024 based on World Bank data, covering 189 countries.

GNI per Capita (Atlas) — World ranking (2024)
Rank Country Value
1 Bermuda 145.2K US$
2 Norway 98.2K US$
3 Switzerland 95.2K US$
4 Luxembourg 84.7K US$
5 United States 83.5K US$
6 Iceland 82.2K US$
7 Ireland 80.7K US$
8 Qatar 77.3K US$
9 Singapore 74.8K US$
10 Faroe Islands 73.1K US$
183 DR Congo 670 US$
185 Malawi 570 US$
186 Mozambique 550 US$
187 Central African Republic 510 US$
188 Madagascar 510 US$
189 Burundi 260 US$
View full rankings

Global Trends

Over the last few decades, global GNI per capita has shown a consistent upward trajectory, driven largely by rapid industrialization and service sector growth in emerging markets. Recent data indicates a shift where middle-income countries, particularly in East Asia, have seen faster growth rates than established high-income nations. However, the gap between the highest and lowest earners remains vast. Economic shocks, such as global health crises or geopolitical conflicts, have caused temporary contractions in GNI, but most regions have shown resilience and a return to growth. The transition toward digital economies and globalized trade has allowed many smaller nations to increase their net income from abroad, though debt servicing costs in developing regions continue to exert downward pressure on the final per capita figures for many citizens. Current estimates show that while global averages are rising, the pace of growth varies significantly based on a nation's integration into global value chains.

Regional Patterns

Significant disparities exist across the globe, with North America and Western Europe maintaining the highest GNI per capita levels, often exceeding 50,000 USD. In contrast, Sub-Saharan Africa and parts of South Asia report the lowest averages, frequently falling below 2,000 USD. East Asia and the Pacific have experienced the most dramatic improvements in recent years, propelled by economic expansion in major emerging markets. The Middle East shows high variability; oil-rich nations report GNI per capita comparable to European levels, while neighboring countries affected by instability show much lower figures. Small island developing states often exhibit higher GNI per capita than their continental neighbors due to specialized industries like tourism or offshore finance, though they remain vulnerable to external economic volatility. Latin America and the Caribbean generally occupy the upper-middle-income bracket, though growth has historically been more volatile compared to the steady rise seen in emerging Asian economies.

About this data
Source
World Bank NY.GNP.PCAP.CD
Definition
Gross national income per capita using the Atlas method, current US dollars.
Coverage
Data for 189 countries (2024)
Limitations
Data may lag 1-2 years for some countries. Coverage varies by indicator.

Frequently Asked Questions

DR Congo's GNI per Capita (Atlas) was 670 US$ in 2024, ranking #183 out of 189 countries.

Between 1962 and 2024, DR Congo's GNI per Capita (Atlas) changed from 230 to 670 (191.3%).

GDP per capita measures the value of goods and services produced within a country's borders per person. GNI per capita includes that value plus income earned by citizens from overseas investments and employment, minus payments made to foreign entities. It better reflects the actual income available to a nation's residents.

The World Bank uses GNI per capita because it identifies the total economic capacity of a country's citizens. By including net income from abroad, it provides a more accurate picture of the resources available for consumption and investment. This helps in determining eligibility for specific types of international financial assistance.

Inflation can artificially inflate nominal GNI figures without an actual increase in wealth. To compare economic well-being accurately over time, economists use real GNI per capita, which adjusts for price changes. This ensures that the data reflects actual growth in purchasing power rather than just rising price levels.

No, GNI per capita is an average and does not account for income inequality. A country can have a high GNI per capita if a small elite holds most of the wealth while the majority lives in poverty. Other metrics, like the Gini coefficient, are needed to understand wealth distribution.

Yes, a country has a higher GNI if its residents earn more from foreign investments and labor than foreign residents earn within its borders. This is common in nations with significant overseas business operations or large diaspora populations that send substantial remittances back to their home country.

GNI per Capita (Atlas) figures for DR Congo are sourced from the World Bank Open Data API, which aggregates reporting from national statistical agencies and verified international organizations. The dataset is refreshed annually as new submissions arrive, typically with a 1–2 year reporting lag.