TOP 10 Poorest Countries by GDP per Capita (PPP, 2025)
GDP per capita (PPP) adjusts output per person for differences in national price levels. In plain terms, it approximates how much real purchasing power the average person has. In 2025, the bottom of the global distribution is dominated by low-income and fragile economies where conflict risks, weak institutions, narrow export bases, and climate shocks keep productivity extremely low.
Nuance: PPP GDP per capita is a useful cross-country benchmark, but it does not measure household income, ignores inequality within countries, and does not capture non-income deprivation (health, education, safety). For fragile states, uncertainty and data gaps can also be significant.
Key takeaways (what to remember)
- All bottom-10 economies in 2025 sit around $0.7–2.1k (PPP) per person — extremely low purchasing power.
- State fragility and conflict are common: wars and institutional collapse can erase earlier gains fast.
- Population growth often “dilutes” progress: even decent GDP growth may not translate into gains per person.
- PPP ≠ poverty rate: complement PPP with poverty headcount, human capital, and governance indicators.
Top 10 “poorest by PPP” in 2025 (quick context)
The countries below represent the lowest end of estimated GDP per capita (PPP) in 2025. They share structural constraints: dependence on agriculture or primary commodities, weak infrastructure, limited human capital, and persistent vulnerability to shocks.
Chronic instability, inflation shocks, and disrupted oil infrastructure keep average purchasing power at the very bottom of global rankings.
Agriculture-heavy structure, limited electricity access, and low capital intensity constrain productivity and incomes.
Resource potential exists, but governance constraints and insecurity restrict investment, trade, and broad-based growth.
Prolonged conflict has reduced output, disrupted supply chains, and undermined essential public services.
Recurring climate shocks and security risks raise the cost of development and slow productivity gains per person.
High reliance on agriculture and vulnerability to weather volatility keep income per person near the bottom globally.
Resource wealth coexists with weak infrastructure and governance challenges, limiting how much value reaches people’s living standards.
Fragility and recurring shocks produce both low levels and higher uncertainty in measurement relative to stable countries.
Investment needs are large, while institutional capacity and infrastructure gaps keep productivity per worker low.
Climate hazards, political uncertainty, and limited diversification continue to cap average purchasing power.
Table 1. Top 10 Poorest Countries by GDP per Capita (PPP), 2025
Values are in current international dollars (PPP) per person and rounded to the nearest dollar. For cross-checking, see the sources listed in Part 3/3.
| Rank | Country | GDP per capita, PPP (int$, 2025) |
|---|---|---|
| 1 | South Sudan | 716 |
| 2 | Burundi | 1,015 |
| 3 | Central African Republic | 1,330 |
| 4 | Yemen | 1,675 |
| 5 | Mozambique | 1,729 |
| 6 | Malawi | 1,778 |
| 7 | Democratic Republic of the Congo | 1,884 |
| 8 | Somalia | 1,916 |
| 9 | Liberia | 2,006 |
| 10 | Madagascar | 2,043 |
Context: the global average PPP income per person is an order of magnitude higher (tens of thousands of international dollars), highlighting the scale of the productivity gap.
Chart 1. GDP per capita (PPP) in the 10 poorest countries, 2025
Chart is intentionally kept linear and simple (no gradients). Axis labels are rendered in high-contrast black.
How have PPP incomes changed since 2010?
A common assumption is that “the poorest countries are stuck forever”. PPP GDP per capita time series show a more mixed reality: some economies improved materially from a very low base, while others saw dramatic collapses driven by conflict, inflation, or institutional breakdown.
Table 2. Approximate change in GDP per capita (PPP), 2010 → 2025 (bottom-10 set)
2010 values are approximate and provided for long-run context. 2025 values match Table 1. For fragile states, historical series can be incomplete and subject to revision; treat this as an order-of-magnitude view.
| Country | 2010 (≈, int$) | 2025 (int$) | Change |
|---|---|---|---|
| South Sudan* | 3,000 | 716 | ≈ −76% |
| Burundi | 615 | 1,015 | ≈ +65% |
| Central African Republic | 950 | 1,330 | ≈ +40% |
| Yemen | 3,600 | 1,675 | ≈ −53% |
| Mozambique | 1,300 | 1,729 | ≈ +33% |
| Malawi | 1,460 | 1,778 | ≈ +22% |
| DR Congo | 600 | 1,884 | ≈ +214% |
| Somalia | 820 | 1,916 | ≈ +134% |
| Liberia | 980 | 2,006 | ≈ +105% |
| Madagascar | 1,460 | 2,043 | ≈ +40% |
*South Sudan: the “2010” baseline is a rough proxy for early oil-driven income levels around the period of state formation; exact historic comparability is limited.
Chart 2. PPP income trajectories (illustrative), 2010–2025
The goal is to show three patterns: sharp collapse (South Sudan), slow improvement (Madagascar), and stronger catch-up from a very low base (DR Congo).
This chart uses simple checkpoints (2010/2015/2020/2025) to remain readable and robust on mobile.
Insights: why the bottom-10 stays poor (and why rankings can shift)
The bottom tail of PPP GDP per capita is shaped less by short-term cycles and more by deep constraints: weak state capacity, security risks, low human capital, and insufficient infrastructure. In these conditions, productivity remains low and shocks have outsized effects.
Diverging trajectories inside the “poorest 10”
Three recurring patterns help explain the numbers:
- Collapse after conflict or institutional breakdown (example: South Sudan, Yemen).
- Slow improvement from a low base, often offset by population growth (Mozambique, Malawi, CAR).
- Catch-up from extremely low levels when stability and basic reforms improve (parts of DR Congo, Somalia, Liberia — still very low globally).
Even when a low-income economy grows at 3–5% per year, rapid population growth and repeated shocks can keep PPP GDP per capita almost flat. Meanwhile, revisions in PPP benchmarks (International Comparison Program cycles) can also slightly re-order the bottom of the table.
What this means for readers
If you use this ranking to understand “poverty” globally, treat PPP GDP per capita as a starting point: it tells you about average purchasing power, not how households live day-to-day.
- Use PPP GDP per capita for comparisons across countries when exchange rates distort nominal figures.
- Pair it with poverty headcount (e.g., extreme poverty rates) to see distribution and hardship directly.
- Check fragility and conflict indicators if you want to explain why progress is hard and reversals are common.
- Look at human capital (education, health) if your question is about long-run growth potential.
Methodology (how the ranking is built)
- Indicator: GDP per capita, PPP (current international dollars per person).
- Year: 2025 estimates / projections (latest available international releases; subject to revision).
- Rounding: values rounded to the nearest dollar for readability.
- Coverage: global set of economies where comparable PPP GDP per capita estimates exist.
- Fragile states: measurement uncertainty may be higher due to incomplete national accounts and limited surveys.
- Interpretation limit: this is not a poverty-rate ranking; it does not capture inequality or non-income deprivation.
Table 2 and Chart 2 provide illustrative long-run context rather than a fully harmonized historical panel for each fragile economy.
FAQ (quick answers)
1) What does “PPP” actually change versus nominal GDP per capita?
2) Does the “poorest by PPP” list equal the “highest poverty rates” list?
3) Why do fragile states often sit at the bottom?
4) Can the ranking change quickly?
5) Why are some countries missing from such lists?
6) What should I use together with PPP GDP per capita?
Sources (primary + reference)
Links are provided for verification and for pulling updated values as databases revise 2025 estimates over time.
-
International Monetary Fund (IMF) — World Economic Outlook (WEO), Oct 2025 (DataMapper):
GDP per capita, PPP (current international $).
IMF DataMapper: PPP GDP per capita (PPPPC@WEO) -
World Bank — World Development Indicators (WDI):
GDP per capita, PPP (current international $), indicator NY.GDP.PCAP.PP.CD.
World Bank WDI: NY.GDP.PCAP.PP.CD -
International Comparison Program (ICP) — PPP benchmarks:
technical background on PPP methodology.
World Bank: International Comparison Program (ICP) -
Global Finance Magazine (IMF-based compilation, includes exact 2025 values used here):
Poorest Countries in the World 2025 -
Our World in Data (concept + harmonised charting tools):
OWID: GDP per capita (international-$, World Bank)
