1. Chart data
  2. Share living in extreme poverty vs. GDP per capita
Our World in DataLine chart · 45 points · Our World in Data

Share living in extreme poverty vs. GDP per capita

The numbers behind a chart Our World in Data published, redrawn natively. Check the original, study the data, then make your own.

Estimated from the image 38%All chart data
Chart by Our World in Data. Source: x.com

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Drawn by us from the numbers below. Hover, tap or use the arrow keys.

A simplified redraw: it shows the numbers in our own look, not the look of the original. One accent marks what the chart is about. Values marked with ~ in the table are estimates.

The numbers

First 10 of 45 points are free
GroupSeriesxValueSourceConf.
Global Average19002000~60%Estimate0.30
Global Average19705000~30%Estimate0.30
Global Average201710000~15%Estimate0.30
Global Average195020000~10%Estimate0.30
Western Europe18202000~50%Estimate0.30
Western Europe19505000~20%Estimate0.30
Western Europe19701000010%Estimate0.97
Western Europe190020000~5%Estimate0.30
Western Offshoots18202000~50%Estimate0.30
Western Offshoots19005000~20%Estimate0.30

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Western Offshoots195010000~10%Estimate0.30
Western Offshoots197020000~5%Estimate0.30
Sub-Saharan Africa18201000~90%Estimate0.30
Sub-Saharan Africa19702000~80%Estimate0.30
Sub-Saharan Africa20175000~50%Estimate0.30
Sub-Saharan Africa195010000~30%Estimate0.30
Middle East and North Africa19002000~60%Estimate0.30
Middle East and North Africa19705000~30%Estimate0.30
Middle East and North Africa201710000~10%Estimate0.30
Middle East and North Africa195020000~5%Estimate0.30
Eastern Europe19002000~50%Estimate0.30
Eastern Europe19705000~20%Estimate0.30
Eastern Europe195010000~10%Estimate0.30
Eastern Europe201720000~5%Estimate0.30
East Asia1820100080%Estimate0.97
East Asia19702000~60%Estimate0.30
East Asia19505000~20%Estimate0.30
East Asia201710000~5%Estimate0.30
South and Southeast Asia18201000~70%Estimate0.30
South and Southeast Asia19502000~50%Estimate0.30
South and Southeast Asia19705000~20%Estimate0.30
South and Southeast Asia2017100005%Estimate0.97
Latin America and Caribbean19002000~40%Estimate0.30
Latin America and Caribbean19705000~20%Estimate0.30
Latin America and Caribbean201710000~10%Estimate0.30
Latin America and Caribbean195020000~5%Estimate0.30
Global Average18201000~90%Estimate0.50
Western Europe201740000~1%Estimate0.50
Western Offshoots201750000~1%Estimate0.50
Sub-Saharan Africa19001000~80%Estimate0.50
Middle East and North Africa18201500~80%Estimate0.50
Eastern Europe18201500~80%Estimate0.50
East Asia19001000~75%Estimate0.50
South and Southeast Asia19001500~70%Estimate0.50
Latin America and Caribbean18201500~80%Estimate0.50
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On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 779ef22a5819.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.38 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/779ef22a5819Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/779ef22a5819/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/779ef22a5819/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/779ef22a5819/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

How accurate are these numbers?

They are estimated from the image by two independent passes, with confidence 0.38 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.

Can I reuse this data?

The numbers describe a chart that Our World in Data published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.

How do I get the file?

The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/779ef22a5819.json and /api/charts/779ef22a5819.skill.md.