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  2. Average incomes are measured by GDP per capita
Our World in DataLine chart · 36 points · Our World in Data

Average incomes are measured by 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 59%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 36 points are free
GroupSeriesxValue (international-$)SourceConf.
1820Western offshoots1820~1200Estimate0.80
1900Western offshoots1900~4000Estimate0.30
1950Western offshoots1950~10000Estimate0.30
2022Western offshoots2022~53000Estimate0.30
1820Western Europe1820~1200Estimate0.80
1900Western Europe1900~4000Estimate0.30
1950Western Europe1950~5000Estimate0.30
2022Western Europe2022~40000Estimate0.80
1820East Asia1820~1000Estimate0.80
1900East Asia1900~1000Estimate0.30

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1950East Asia1950~2000Estimate0.80
2022East Asia2022~18000Estimate0.80
1820Eastern Europe1820~1000Estimate0.80
1900Eastern Europe1900~2000Estimate0.80
1950Eastern Europe1950~3000Estimate0.80
2022Eastern Europe2022~20000Estimate0.30
1820Middle East & North Africa1820~1000Estimate0.80
1900Middle East & North Africa1900~2000Estimate0.30
1950Middle East & North Africa1950~3000Estimate0.30
2022Middle East & North Africa2022~18500Estimate0.65
1820Global average1820~1000Estimate0.80
1900Global average1900~2000Estimate0.80
1950Global average1950~3000Estimate0.80
2022Global average2022~15000Estimate0.80
1820Latin America1820~1000Estimate0.80
1900Latin America1900~2000Estimate0.80
1950Latin America1950~3000Estimate0.30
2022Latin America2022~16000Estimate0.30
1820South & South East Asia1820~1000Estimate0.30
1900South & South East Asia1900~1000Estimate0.80
1950South & South East Asia1950~2000Estimate0.30
2022South & South East Asia2022~8000Estimate0.80
1820Sub Saharan Africa1820~1000Estimate0.30
1900Sub Saharan Africa1900~1000Estimate0.80
1950Sub Saharan Africa1950~2000Estimate0.30
2022Sub Saharan Africa2022~4000Estimate0.80
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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 00803d4261b1.

PathReturnsPlan
GET/api/v1/charts/00803d4261b1Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/00803d4261b1/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/00803d4261b1/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/00803d4261b1/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 0.59 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/00803d4261b1.json and /api/charts/00803d4261b1.skill.md.