Poorest countries by GDP per capita
Burundi has the lowest nominal GDP per capita among the 187 countries with a 2024 observation in this comparison. Explore the complete ranking, then see how adjusting for local prices changes the picture.
2024 observations · Research reviewed 1 October 2026 · Sources & methodology
“Poorest” depends on the question
This page ranks annual economic output per resident, from lowest to highest. It does not rank the value of a country’s people, culture or natural resources. Nor does it tell you what a typical household earns: national output includes income that does not become wages, and averages conceal inequality.
Three questions are often confused. How much does an economy produce per person? Use GDP per capita. What can that output buy locally? Use the purchasing-power-adjusted version. How many people cannot afford basic needs? Use household poverty measures. A country can improve on one measure while making little progress on another.
Read the year before comparing. Every value in this table describes 2024. We do not mix a recent projection for one country with an older observation for another, or divide 2024 GDP by today’s population.
Where output per person is lowest
Natural Earth generalized boundaries. Dots locate countries too small to see at this scale. Select a country to explore its profile.
The map shows countries with data across the entire income range. Large countries occupy more space on the map; that does not give them more weight in the ranking. Use the regional filter below to compare nearby countries without losing their global base ranks.
Complete country ranking
The lowest ten nominal observations are strongly concentrated geographically: 9 are in Africa, with Afghanistan also in this group. Burundi’s $216 per person is around 52% of the next observation, Afghanistan’s $417. Even at the low end, neighbouring ranks can conceal a substantial numerical gap.
Changing the unit gives useful additional context. Burundi’s PPP figure is $1,193 in international dollars, compared with its nominal figure in US dollars. That difference reflects a price adjustment, not a cash payment or an amount a household can exchange. The country’s position among other economies may change when the same adjustment is applied everywhere.
Afghanistan’s inclusion also shows why geography alone cannot explain the ranking. These observations describe output outcomes in particular countries and years. To explain an individual case, follow through to its economic and historical context rather than assuming that a continent label is a cause. The table’s regional filter supports comparison, but it does not isolate the effects of conflict, institutions, prices or any other factor.
Start with nominal GDP per capita, or sort the PPP column to change the question. A dash in the PPP column means that the companion observation is unavailable. Dollar amounts are rounded for display; sorting and exports retain the source precision.
187 countries. Scroll the table for all entries. Base rank follows the page’s main measure; sorting another column keeps that rank.
| Base rank | |||
|---|---|---|---|
| 1 | $216 | Int$ 1,193 | |
| 2 | $417 | Int$ 2,236 | |
| 3 | $516 | Int$ 1,265 | |
| 4 | $522 | Int$ 1,860 | |
| 5 | $550 | Int$ 1,889 | |
| 6 | $630 | Int$ 1,604 | |
| 7 | $657 | Int$ 1,708 | |
| 8 | $693 | Int$ 1,823 | |
| 9 | $730 | Int$ 2,044 | |
| 10 | $807 | Int$ 3,527 | |
| 11 | $851 | Int$ 1,874 | |
| 12 | $871 | Int$ 3,481 | |
| 13 | $981 | Int$ 2,767 | |
| 14 | $982 | Int$ 2,901 | |
| 15 | $985 | Int$ 2,119 | |
| 16 | $998 | Int$ 3,093 | |
| 17 | $1,023 | Int$ 3,071 | |
| 18 | $1,060 | Int$ 3,785 | |
| 19 | $1,078 | Int$ 3,278 | |
| 20 | $1,084 | Int$ 9,100 | |
| 21 | $1,093 | Int$ 3,322 | |
| 22 | $1,134 | Int$ 3,292 | |
| 23 | $1,187 | Int$ 4,221 | |
| 24 | $1,193 | Int$ 4,227 | |
| 25 | $1,266 | Int$ 3,815 | |
| 26 | $1,332 | Int$ 4,429 | |
| 27 | $1,359 | Int$ 6,006 | |
| 28 | $1,362 | Int$ 5,414 | |
| 29 | $1,460 | Int$ 5,746 | |
| 30 | $1,479 | Int$ 6,263 | |
| 31 | $1,485 | Int$ 4,441 | |
| 32 | $1,695 | Int$ 4,572 | |
| 33 | $1,739 | Int$ 5,097 | |
| 34 | $1,830 | Int$ 5,597 | |
| 35 | $1,858 | Int$ 4,048 | |
| 36 | $1,934 | Int$ 2,679 | |
| 37 | $2,060 | Int$ 3,169 | |
| 38 | $2,105 | Int$ 7,379 | |
| 39 | $2,124 | Int$ 9,790 | |
| 40 | $2,133 | Int$ 6,650 | |
| 41 | $2,419 | Int$ 8,051 | |
| 42 | $2,482 | Int$ 7,004 | |
| 43 | $2,496 | Int$ 5,933 | |
| 44 | $2,515 | Int$ 8,208 | |
| 45 | $2,551 | Int$ 3,728 | |
| 46 | $2,592 | Int$ 10,719 | |
| 47 | $2,593 | Int$ 9,661 | |
| 48 | $2,628 | Int$ 7,982 | |
| 49 | $2,721 | Int$ 9,964 | |
| 50 | $2,728 | Int$ 7,680 | |
| 51 | $2,848 | Int$ 8,721 | |
| 52 | $2,912 | Int$ 4,887 | |
| 53 | $3,028 | Int$ 4,771 | |
| 54 | $3,337 | Int$ 12,518 | |
| 55 | $3,338 | Int$ 19,122 | |
| 56 | $3,416 | Int$ 7,503 | |
| 57 | $3,503 | Int$ 6,274 | |
| 58 | $3,553 | Int$ 7,822 | |
| 59 | $3,910 | Int$ 11,823 | |
| 60 | $3,960 | Int$ 4,368 | |
| 61 | $3,985 | Int$ 11,814 | |
| 62 | $4,153 | Int$ 10,430 | |
| 63 | $4,188 | Int$ 14,542 | |
| 64 | $4,228 | Int$ 17,762 | |
| 65 | $4,244 | — | |
| 66 | $4,252 | Int$ 4,452 | |
| 67 | $4,421 | Int$ 12,896 | |
| 68 | $4,473 | Int$ 11,917 | |
| 69 | $4,502 | Int$ 11,698 | |
| 70 | $4,545 | Int$ 15,701 | |
| 71 | $4,717 | Int$ 16,388 | |
| 72 | $4,925 | Int$ 16,472 | |
| 73 | $5,074 | Int$ 11,916 | |
| 74 | $5,170 | Int$ 11,185 | |
| 75 | $5,190 | Int$ 19,903 | |
| 76 | $5,392 | Int$ 18,636 | |
| 77 | $5,393 | Int$ 8,751 | |
| 78 | $5,503 | Int$ 13,258 | |
| 79 | $5,753 | Int$ 17,646 | |
| 80 | $5,884 | Int$ 6,366 | |
| 81 | $5,904 | Int$ 21,026 | |
| 82 | $6,074 | Int$ 14,485 | |
| 83 | $6,151 | Int$ 14,393 | |
| 84 | $6,215 | Int$ 8,174 | |
| 85 | $6,267 | Int$ 15,479 | |
| 86 | $6,426 | Int$ 15,473 | |
| 87 | $6,457 | Int$ 18,632 | |
| 88 | $6,569 | Int$ 14,325 | |
| 89 | $6,751 | Int$ 19,173 | |
| 90 | $6,827 | Int$ 15,848 | |
| 91 | $6,962 | Int$ 21,832 | |
| 92 | $7,004 | Int$ 17,072 | |
| 93 | $7,295 | Int$ 25,146 | |
| 94 | $7,387 | Int$ 24,909 | |
| 95 | $7,579 | Int$ 18,662 | |
| 96 | $7,590 | Int$ 8,238 | |
| 97 | $7,650 | Int$ 20,612 | |
| 98 | $7,681 | Int$ 14,367 | |
| 99 | $7,754 | Int$ 12,909 | |
| 100 | $7,951 | Int$ 22,439 | |
| 101 | $8,230 | Int$ 21,541 | |
| 102 | $8,526 | Int$ 17,882 | |
| 103 | $8,556 | Int$ 22,856 | |
| 104 | $8,606 | Int$ 33,166 | |
| 105 | $8,968 | Int$ 27,487 | |
| 106 | $9,292 | Int$ 26,996 | |
| 107 | $9,398 | Int$ 25,148 | |
| 108 | $10,311 | Int$ 22,371 | |
| 109 | $10,405 | Int$ 21,332 | |
| 110 | $10,876 | Int$ 27,582 | |
| 111 | $11,374 | Int$ 26,702 | |
| 112 | $11,501 | Int$ 21,303 | |
| 113 | $11,529 | Int$ 19,903 | |
| 114 | $11,874 | Int$ 38,836 | |
| 115 | $11,991 | Int$ 31,697 | |
| 116 | $13,270 | Int$ 34,063 | |
| 117 | $13,293 | Int$ 27,140 | |
| 118 | $13,379 | Int$ 26,221 | |
| 119 | $13,678 | Int$ 32,832 | |
| 120 | $13,970 | Int$ 30,475 | |
| 121 | $13,988 | Int$ 25,820 | |
| 122 | $14,048 | Int$ 13,612 | |
| 123 | $14,155 | Int$ 40,950 | |
| 124 | $14,494 | Int$ 28,117 | |
| 125 | $14,962 | Int$ 47,686 | |
| 126 | $15,893 | Int$ 45,123 | |
| 127 | $16,659 | Int$ 36,071 | |
| 128 | $17,597 | Int$ 41,970 | |
| 129 | $18,169 | Int$ 21,059 | |
| 130 | $18,365 | Int$ 33,339 | |
| 131 | $18,733 | Int$ 36,381 | |
| 132 | $18,853 | Int$ 31,552 | |
| 133 | $19,161 | Int$ 41,430 | |
| 134 | $20,080 | Int$ 49,077 | |
| 135 | $20,285 | Int$ 41,801 | |
| 136 | $23,060 | Int$ 33,352 | |
| 137 | $23,305 | Int$ 48,540 | |
| 138 | $23,579 | Int$ 43,873 | |
| 139 | $23,961 | Int$ 34,897 | |
| 140 | $24,050 | Int$ 49,551 | |
| 141 | $24,308 | Int$ 36,597 | |
| 142 | $24,626 | Int$ 44,171 | |
| 143 | $25,104 | Int$ 51,263 | |
| 144 | $25,993 | Int$ 47,847 | |
| 145 | $26,897 | Int$ 24,540 | |
| 146 | $29,328 | Int$ 52,513 | |
| 147 | $29,604 | Int$ 55,699 | |
| 148 | $29,675 | Int$ 80,271 | |
| 149 | $29,717 | Int$ 67,230 | |
| 150 | $31,428 | Int$ 50,396 | |
| 151 | $31,828 | Int$ 57,625 | |
| 152 | $32,856 | Int$ 53,119 | |
| 153 | $33,153 | Int$ 90,010 | |
| 154 | $33,797 | Int$ 54,156 | |
| 155 | $34,301 | Int$ 57,571 | |
| 156 | $35,327 | Int$ 58,064 | |
| 157 | $35,528 | Int$ 71,936 | |
| 158 | $36,239 | Int$ 61,051 | |
| 159 | $38,674 | Int$ 63,007 | |
| 160 | $39,455 | Int$ 41,258 | |
| 161 | $40,430 | Int$ 62,293 | |
| 162 | $44,024 | Int$ 70,063 | |
| 163 | $46,103 | Int$ 62,525 | |
| 164 | $49,357 | Int$ 75,395 | |
| 165 | $49,432 | Int$ 55,794 | |
| 166 | $50,274 | Int$ 79,344 | |
| 167 | $53,156 | Int$ 65,137 | |
| 168 | $53,341 | Int$ 62,839 | |
| 169 | $54,217 | Int$ 57,278 | |
| 170 | $55,016 | Int$ 65,483 | |
| 171 | $56,104 | Int$ 73,957 | |
| 172 | $56,582 | Int$ 74,225 | |
| 173 | $57,223 | Int$ 71,222 | |
| 174 | $58,269 | Int$ 75,774 | |
| 175 | $64,610 | Int$ 72,118 | |
| 176 | $67,465 | Int$ 85,218 | |
| 177 | $71,026 | Int$ 80,938 | |
| 178 | $75,685 | Int$ 126,713 | |
| 179 | $85,863 | Int$ 83,561 | |
| 180 | $86,170 | Int$ 86,170 | |
| 181 | $89,889 | Int$ 105,657 | |
| 182 | $94,897 | Int$ 153,161 | |
| 183 | $107,702 | Int$ 97,468 | |
| 184 | $112,895 | Int$ 140,779 | |
| 185 | $137,782 | Int$ 156,079 | |
| 186 | $220,167 | — | |
| 187 | $288,002 | — |
No countries match these filters. Try another name or reset the filters.
Which 9 countries are missing?
Cuba, Eritrea, North Korea, San Marino, South Sudan, Syria, Taiwan, Vatican City, Yemen. Their absence reflects missing 2024 observations in the selected series. They are not assigned a zero or placed at the bottom.
Compare two countries
Both values use the same measure and reference period as the main table. A ratio describes the figures, not the quality of life in either country.
How the ranking changes when prices matter
Converting output at market exchange rates can make a country look much poorer after a currency depreciation, even if its residents produce a similar quantity of goods. PPP adjusts for price differences. An international dollar is a statistical unit of purchasing power, not a banknote or an exchange rate you can obtain.
The comparison below is calculated only among the 184 countries with both observations. It identifies the largest changes in position when we rank the same countries by the two measures. This isolates the effect of changing the metric rather than changing membership of the comparison.
| Country | Nominal rank, lowest first | PPP rank, lowest first | Positions apart |
|---|---|---|---|
| Nauru | 121 | 74 | 47 |
| Marshall Islands | 95 | 55 | 40 |
| Nigeria | 20 | 58 | 38 |
| Egypt | 55 | 93 | 38 |
| Barbados | 144 | 107 | 37 |
Calculated from the two World Bank series above. These ranks use the common-data group and can differ from the full table’s base ranks.
Questions worth asking of any poverty ranking
Why do other lists name a different poorest country?
They may use PPP instead of nominal dollars, an IMF forecast instead of a World Bank observation, or include economies missing here. Compare the metric, year and coverage before deciding that one list contradicts another. South Sudan, for example, has no 2024 nominal observation in this snapshot and is therefore unranked here.
Can I divide the annual figure by 365 to estimate daily income?
The arithmetic is possible; the interpretation is not. GDP per capita is not money handed to each resident. A daily GDP figure is not a poverty line, a wage or a household spending allowance.
Does a low rank explain why a country is poor?
No. The table describes an outcome. Explaining it needs country-specific evidence about institutions, health, education, conflict, infrastructure, productive activity and external conditions. Inferring a single cause from a cross-country ranking would go beyond these data.
Sources & methodology
We match World Bank economies to our country directory by ISO3, exclude regional aggregates and territories outside the directory, and rank non-missing positive observations. Nominal and PPP figures each use their own published per-capita series. Display rounding does not determine order. The map uses five groups based on the distribution of included values.
- World Bank: GDP per capita, current US dollars
2024 observations. Snapshot retrieved 1 October 2026; national accounts data and World Bank estimates. CC BY 4.0.
- World Bank: GDP per capita at purchasing power parity
2024 current international dollars. Used as a separate comparator, not substituted into the nominal ranking.
- World Bank: measuring poverty
Poverty monitoring uses household living standards and poverty thresholds; GDP per capita is a different measure.
Country lists follow our 196-profile directory convention: 193 UN members, Vatican City, Palestine and Taiwan. Dependent territories are identified separately. A missing observation never means zero.