an atlas of who gets what

INEQUALITYINDEX

Eight billion people. One income distribution. The half of humanity at the bottom shares $1.18 of every ten dollars the world earns — while the top tenth takes nearly five. This is not an abstraction. It is measured, surveyed, and mapped — and below, you can find yourself inside it.

60.5
world gini index
$8.91
median human · per day
47%
income held by top 10%
scroll to descend
01

The Atlas

172 territories · drag to spin · click to open a case file
drag — spin · click — inspect
24 · more equalWorld Bank PIP58 · most unequal
case file · ZAFconsumption survey · 2022

South Africa

Sub-Saharan Africa
54.0
Gini index
19.3%
top 1% income share (2014)
65.4%
top 10% income share
15.3%
bottom 50% share
$200
median income / month (PPP)
64.0 million
population
income share by decilepoorest 10% → richest 10%
1.4%
42.1%
D1D5D10
gini trajectory19932022
Distribution: World Bank Poverty & Inequality Platform. Top shares: World Inequality Database (pre-tax national income). Values in 2021 PPP dollars.
Run your number in South Africa
02

The Divide

one line · eight billion people

Line every human being up by income, poorest to richest, and walk the line. Each bar below is one percent of humanity — 79,411,029 people. Heights are drawn on a log scale; on a linear one, the first ninety bars would be invisible. Keep scrolling. The line does not rise. It detonates.

1percentile of humanity
$0.00 / DAY · 2021 PPPincome or consumption per person

PPP dollars are adjusted for what money actually buys in each country — a dollar here is a dollar of the same groceries everywhere. The data pools household surveys from 172 countries, covering 97.5% of the world's population.

extreme povertythe median humantop 10% beginsthe one percent
0%
of world income goes to the bottom 50% — four billion people
0%
goes to the top 10% — fewer people than live in Europe
0%
of pre-tax income is captured by the top 1% alone1
03

The Stigma

what we tell ourselves · crossed out

Inequality survives on a story: that the line you just walked is a ranking of effort. The story is comfortable, repeated, and measurably false. Below — the four most common versions of it, set against what the data actually says.

“Anyone who works hard can make it.”
Where you are born explains roughly two-thirds of the variation in lifetime income — decided before your first day of work. The same job, the same hours, the same talent pays out wildly different lives depending on the passport it comes with.Milanovic, “Global Inequality of Opportunity” (2015) — citizenship premium
“The poor just manage money badly.”
Half of humanity lives on under $9 a day at purchasing-power parity — already adjusted for cheaper local prices. There is no budgeting strategy that turns $9 into rent, food, transport, school fees and a buffer for one bad week.World Bank PIP, pooled distribution (this site’s dataset)
“Inequality is just the price of growth.”
The divide is steepest inside the engine rooms of growth. In the United States the top 1% captures over a fifth of pre-tax income; rapid-growth economies like China saw inequality double in a generation while headline GDP soared.WID.world; World Bank PIP series for CHN — see case file below
“It’s envy. The numbers are exaggerated.”
Every figure on this page comes from household surveys and tax records assembled by the World Bank and the World Inequality Database — the most conservative, audited estimates that exist. Survey data tends to under-count the very top, meaning reality is likely worse than this page shows.Methodology, §sources — top incomes are under-captured in surveys

The most reliable predictor of your income is not effort, education, or ideas. It is the lottery of where you were born — a ticket no one chooses.

04

Case File: China

one nation · two economies · 19812022

No country has created wealth faster. And few datasets show more plainly how unevenly a miracle can land. China runs household surveys separately for its cities and its countryside — and under the hukou registration system, which of the two you belong to is largely assigned at birth and decides your schools, hospitals and pensions. The World Bank publishes both lines. They have never touched.

urban meanrural mean2021 ppp $ / person / day
$5$10$15$20$19.4 urban$13.0 rural198120022022
0×urban consumption per person vs rural, 2022 — after decades of “converging”
00national gini, 1981 → its peak in 2010 — inequality nearly doubled inside one working lifetime
0gini today (2022) — easing, yet still far above the 1981 baseline
$0median rural resident, per month (PPP) — for ~491 million people

Growth was real. So was the sorting: the city keeps the surplus, the village keeps the work — and a registration stamp decides which side of the line you live on.

05

The Ledger

where the surplus goes · entries audited

Country averages hide the mechanism. Inequality is not weather — it is bookkeeping: wages set against buybacks, pay committees against pension funds. Four entries from the ledger, each with its source attached.

0:1
Average CEO-to-median-worker pay ratio across the S&P 500. In 1965 it was about 20-to-1. A median employee now works roughly a full year to earn what the CEO makes before lunch on January 2nd.
AFL-CIO Executive Paywatch, FY2024 filings
0%
Share of all U.S. household wealth held by the top 1%. The entire bottom half of the country — some 165 million people — holds about 2.5%.
U.S. Federal Reserve, Distributional Financial Accounts
0%
Share of all new wealth created worldwide in 2020–2021 that went to the richest 1% — roughly twice what reached the bottom 99% combined, in the middle of a global pandemic.
Oxfam, “Survival of the Richest” (2023), from Credit Suisse data
0%
Share of global wealth growth since 1995 captured by the top 1%, versus 2% for the bottom half of humanity. Wealth concentrates faster than income — and compounds.
World Inequality Report 2022, ch. 3

None of these numbers describe scarcity. They describe allocation — decisions, made by people, that could be made differently.

06

Your Number

household surveys · 172 countries · find yourself

You have walked the line of humanity. Now stand in it. Enter what your household — or just you — earns in a month, and the same survey machinery that built the atlas will place you among your country's percentiles, and among the world's. Everything runs in your browser; nothing is sent anywhere.

income survey · 2024
02 · counting
treated as a one-person household
people
1
USD $
median person here ≈ 2,539 USD/month
07

Method & Sources

world bank pip & wdi (april 2026), wid via our world in data

Sources

1
World Bank — Poverty & Inequality Platform (PIP)

Decile income/consumption shares, Gini, means and medians from national household surveys; the spine of the atlas, the percentile walk, and the evaluator. 2021 PPP dollars.

2
World Inequality Database (WID.world), via Our World in Data

Pre-tax top 1% and top 10% national income shares, combining surveys with tax records to correct the top tail.

3
World Bank — World Development Indicators

PPP conversion factors (private consumption), official exchange rates, population, GDP per capita, US CPI.

4
AFL-CIO Executive Paywatch · Federal Reserve DFA · Oxfam · World Inequality Report 2022

Ledger entries on executive pay and wealth concentration, as labelled on each row.

Honest limits

  1. Survey welfare is household income or consumption per capita — not gross salary. Countries differ in which they measure; each case file is labelled.
  2. Surveys under-capture the very rich. Every top-end figure here is therefore a floor, not a ceiling.
  3. PPP conversion uses the latest national factor, deflated to 2021 international dollars via US CPI; your local inflation since the survey year is not individually modelled.
  4. Quantile functions are monotone-cubic interpolations of eleven exact Lorenz points per country; reconstruction error at the median is under ~1% for major economies.
  5. Sub-national detail exists only where statistical offices publish it (e.g. China's urban/rural series). Most countries are mapped at national level.
  6. Coverage: 172 countries, 97.5% of world population (7.94 billion people). The missing 2.5% skews toward states too fragile to survey — which likely makes the world look more equal here than it is.