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Our World in Data@MaxCRoser · Jun 11, 2026 · Small multiples

Poverty vs GDP by region

Our World in Data's small multiples drew 143.9K views on X: 2.4x its typical post and #15 of 139 Our World in Data charts we track by views. Read Oct 10, 2026.

A way to see the amazing history of economic growth and declining poverty over the last two centuries.

Posted on X by @MaxCRoser (Our World in Data), Jun 11, 2026. Source: x.com · See its data

Why it spread

This chart post spread because it paired a big, hopeful story about two centuries of economic growth and falling poverty with a clear small multiples form, and it reached 143,873 views, 586 likes, 208 reposts, 29 quotes, and 172 saves, with a quote rate in the top quarter and a source reach in the top quarter.

What worked

  • The post text framed the chart as a way to see the amazing history of economic growth and declining poverty over the last two centuries, which gives the data a clear narrative.
  • The chart used small multiples to show that the share living in extreme poverty falls as GDP per capita rises, making a complex long run trend easy to scan.
  • The chart was self labelling to a high degree and included a source line, and it came from an independent author, which helped it earn many quotes and a quote rate in the top quarter.

What to borrow

We could use the same small multiples form and the same long run framing to show our own data as a clear before and after story, and we could keep self labelling high and always show a source line.

Careful

Do not copy the exact topic or assume the same result for our charts, and do not over read the numbers as proof of causation, since the chart only shows that the share living in extreme poverty falls as GDP per capita rises.

Written by our analysis model from the measured numbers above, not by Our World in Data.

Make it yours

Your numbers, in this line chart.

Starts from the real numbers of "Share living in extreme poverty vs. GDP per capita" by Our World in Data. Replace every number with yours before you post. Make one like this, step by step

Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.

API · Max

Use this chart via API

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 far did Our World in Data's "Poverty vs GDP by region" chart travel?

143,873 views, 586 likes, 208 reposts and 172 saves on X, read Oct 10, 2026. A normal post from @MaxCRoser gets about 59K views.

What kind of chart is it?

A small multiples. Share living in extreme poverty falls as GDP per capita rises.

Can I use Our World in Data's chart?

Use the format, not the picture. The chart, logo and design belong to Our World in Data. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.