National percentile rankings are blunt on their own. They tell you where you stand against your country's adult population, not your peer group. This page does the simple part well. It places your income or your net worth on the curve for any of the 217 countries we cover.

You enter a yearly gross income or a net worth in local currency. The page returns the percentile that figure falls into among adults in that country.

Every country curve is fit from one source. The World Inequality Database is the most consistent cross-country dataset for income and wealth at the individual level. We use pretax national income (the sum of labor earnings, capital income, and pensions, before tax) and net personal wealth (assets minus debts). Both are reported per adult on an equal-split basis, which means resources are split equally within couples. Reference year is 2024 for almost every country.

Each curve is built as a log-normal body fitted to the published thresholds from the 10th through the 95th percentile, with a Pareto top tail calibrated to the published 99th and 99.9th percentile cutoffs. The body fit is anchored at the median, so the figure you get for the 50th percentile matches the source verbatim.

Most country comparisons stop at the published statistics. They take WID's number and put it on a chart. The catch is that the published statistics under-report income and wealth in countries with large informal economies. Tax records miss cash income and self-employment. Surveys under-cover the bottom and the very top. Rural undeclared activity, remittances paid in cash, small-business income, household assets that never touch a bank or a registry.

We adjust for this in five stages.

Stage one. The informal-economy correction. For each country we use two published informal-economy measures and take the larger of the two. The first is the World Bank Informal Economy Database estimate of informal output as a percent of GDP. The second is the World Bank's modelled estimate of vulnerable employment, which serves as a published proxy for informal employment and is multiplied by 0.7 to account for the lower productivity of informal workers. The shift scales with informal share, never more than doubles the published median, never moves it downward, and never touches the shape of the distribution. For Bolivia (60% informal), the income shift is about 82%. For Nigeria (56%), about 30%. For India (19%), about 13%. For Germany (15%), about 4%. For Switzerland, no shift.

Stage two. The GDP anchor for broken measurements. A handful of countries have data that is not just under-reported, it is structurally broken. Sanctioned states with multi-rate currencies (Cuba, Iran, Syria), conflict zones with little usable data, US Pacific territories where WID extrapolations do not fit. For these, after stage one, if the measured median in US dollars is still more than three times off from the GDP-implied figure, we anchor the median to the GDP-implied value.

Stage three. Remittances correction. For countries where households receive substantial international remittances year after year, accumulated wealth is higher than measured because of decades of saved transfers in real estate, durables, and cash. We boost wealth (not income) by up to 30 percent for these countries, scaled by remittances as a share of GDP. Lebanon, Tajikistan, Honduras, El Salvador, Tonga, Nepal all hit the cap.

Stage four. UBS Global Wealth Report override. For 26 major economies the UBS Global Wealth Report 2025 publishes per-adult mean and median wealth directly, computed from household balance sheets and tax records. Where UBS publishes a country, we replace our WID-derived wealth values with the UBS figures.

Stage five. Curated wealth overrides. For 17 countries where diaspora wealth, criminal-economy assets, or cash-dollar holdings systematically escape both WID and the algorithmic corrections (the Balkans, parts of post-Soviet space, cartel-affected Latin America), we apply a published curator's-judgment wealth multiplier of 1.10 to 1.25 on top of everything else. Albania gets 1.25, Kosovo 1.20, Serbia, Montenegro, North Macedonia, and Bosnia 1.15, Russia 1.15, Mexico and Colombia 1.10.

The figures on this page are not raw WID numbers. They are WID numbers, plus a calibrated transparent adjustment for informal economic activity, plus a hard GDP anchor where the underlying data is broken, plus a remittances boost for diaspora countries, plus UBS-published values where available, plus curated multipliers for the cases the algorithms cannot reach. Every country's full adjustment chain is in the underlying data file.

The curves are descriptive. They are a snapshot of measured inequality with a published-data correction, not financial advice and not a comparison against your specific peer group.

Pretax national income includes flows that do not always feel like "your salary." Pension entitlements, the imputed rental value of owner-occupied housing, and undistributed corporate profits attributed to capital owners are all in the figure. Where you land may differ from a paystub-only comparison.

Net wealth distributions have a heavy bottom (households in debt) and an extremely heavy top. The fit between the 90th and 99th percentile is an approximation by construction.

For a small number of countries with thin or missing WID coverage, we transfer distribution shape from same-income-group peer countries and anchor the level on that country's GDP per capita.

For sanctioned and conflict-affected countries (Cuba, Iran, Syria, Somalia, North Korea), the underlying data carries serious quality issues that no correction can fully resolve. We anchor what we can, publish what we have, and flag the data quality.

Source data is the latest WID release, reference year 2024 for almost every country. Currency conversion uses World Bank GDP-implied exchange rates where available (more reliable for sanctioned and parallel-market currencies than consumer feeds), with a daily consumer rate as fallback. Last refreshed 2 May 2026.

For every country, the underlying numbers carry known issues. Informal economy that is partly captured. Remittance flows that escape national accounts. Survey coverage that thins at both tails. WID makes a best effort to reconcile these against national accounts. We make a calibrated adjustment for informal economy on top, and a hard GDP anchor for the cases where measurement is broken. We publish the result with all the underlying data fully visible. Where you spot something that looks wrong for a country you know well, the right interpretation is "this is what the published statistics say, with our published correction," not "this is what reality is."