The richest economies report figures more than a thousand times the poorest

Across the 214 economies that report GDP per capita in current US dollars, the gap between the top and the bottom is not a matter of degree but of order of magnitude. Monaco sits at the apex with roughly $288,002 per resident, a figure inflated by a tiny population and an outsized financial and tourism base. Liechtenstein follows at about $220,167, and Bermuda at $142,250. These micro-economies share a common profile: very small populations, specialised high-value service sectors, and favourable tax treatment that draws capital far in excess of what their resident headcount would otherwise generate.

At the other end of the table, the poorest reporting economies cluster tightly below $700 per resident. Burundi anchors the floor at roughly $216, with Afghanistan at $417, Central African Republic at $516, Malawi at $522, and Madagascar at $550. The ratio between Monaco's figure and Burundi's exceeds 1,300 to 1, a spread far wider than almost any other development indicator in the dataset. Where life expectancy ranges by a factor of about 1.6 and access to electricity by a factor of a few, income per head ranges by more than three orders of magnitude.

Highest GDP per capita

Top six reporting economies, current US$

The bottom of the table is concentrated in conflict-affected and Sub-Saharan economies

The countries at the base of the distribution are not randomly scattered. Five of the lowest six are in Sub-Saharan Africa, and the sixth, Afghanistan, has experienced decades of conflict and institutional disruption. This concentration reflects a familiar set of structural constraints: economies that depend heavily on subsistence agriculture, that have limited integration into global trade, and that have faced repeated shocks from drought, conflict, or political instability. GDP per capita in current dollars also moves with exchange rates, so a depreciating currency can push a country down the table even when real output is flat or rising.

It is worth stressing what this measure does and does not capture. GDP per capita is an average, not a distribution: a country can post a respectable figure while most of its residents live well below the mean, because a small high-income enclave or a single extractive sector lifts the aggregate. Nominal GDP per capita at market exchange rates also overstates the real gap in living costs, because a dollar buys far more in a low-income economy than in Monaco or Switzerland. Purchasing-power-parity figures narrow the spread considerably, though they never close it.

Lowest GDP per capita

Bottom six reporting economies, current US$

Regional patterns reinforce the point. The top of the table is dominated by European micro-states and a handful of high-income financial centres, while the lower third is overwhelmingly Sub-Saharan and South Asian. Resource wealth complicates the picture in both directions: some petroleum exporters post per-capita figures that rival Western Europe in years of high oil prices, then slide several places when prices fall, because nominal GDP in current dollars tracks the commodity cycle as much as it tracks domestic productivity. Tourism-dependent island economies show a similar volatility, with figures that can swing on a single strong or weak visitor season. None of this is visible in a static snapshot, which is precisely why a per-capita number should always be read alongside its reporting year and its multi-year trend rather than treated as a fixed property of a country.

Why the average sits so much closer to the bottom than the top

The mean GDP per capita across all 214 reporting economies is about $22,968. That average sits much closer to the poorer end of the range than to the richest, which is the signature of a right-skewed distribution: a small number of very high values pull the mean upward, but the bulk of countries fall below it. More than half of the world's economies report figures under the global mean, and the median country sits well beneath it. This is why a simple "average country" is a misleading construct, and why ranking and percentile framing, rather than a single headline number, is the honest way to read income data.

Comparisons also shift dramatically depending on which conversion is used. Purchasing-power-parity exchange rates, which adjust for differences in domestic price levels, compress the apparent distance between rich and poor economies because housing, transport, food, and services are cheaper in lower-income countries. A worker earning a modest salary in Bangladesh or Ethiopia commands more real consumption locally than the headline dollar figure suggests, whereas residents of Switzerland or Norway face correspondingly steep living costs that erode their nominal advantage. Beyond conversion, the composition of output matters: economies anchored in extraction, finance, or shipping registries can post per-capita totals wildly disproportionate to the productivity of their broader workforce, while diversified manufacturing and knowledge economies tend to translate output more evenly into household prosperity. Reading the figure alongside inequality measures such as the Gini coefficient guards against mistaking concentrated affluence for shared wellbeing. Remittances sent home by migrant workers, informal cash markets, and subsistence farming further blur the official tally, since substantial economic activity in poorer nations never passes through the formal channels statisticians can capture.

For readers using this data, the practical implication is to always pair a per-capita figure with its rank and its reporting year. A country's position can shift several places between releases purely on currency movements, and a headline figure quoted without its vintage can be years out of date. Each country profile on PlainCountries shows the per-capita figure alongside its global rank, and the indicator rank finder lets you check exactly where any economy sits on this and every other tracked measure. For the broader question of how to compare economies fairly, see the guide on comparing countries with data and the breakdown of the richest and poorest countries.