1. Chart data
  2. The world has passed "peak child"
Our World in DataLine chart · 51 points · Our World in Data

The world has passed "peak child"

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 30%All chart data
Chart by Our World in Data. Source: x.com

Simplified redraw

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 51 points are free
GroupSeriesxValue (people)SourceConf.
1950Young people under 25 years1950~1300000000Estimate0.30
1960Young people under 25 years1960~1600000000Estimate0.30
1970Young people under 25 years1970~1950000000Estimate0.30
1980Young people under 25 years1980~2250000000Estimate0.30
1990Young people under 25 years1990~2500000000Estimate0.30
2000Young people under 25 years2000~2700000000Estimate0.30
2010Young people under 25 years2010~2850000000Estimate0.30
2020Young people under 25 years2020~2900000000Estimate0.30
2023Young people under 25 years2023~2900000000Estimate0.30
2030Young people under 25 years2030~2850000000Estimate0.30

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See all 51 points and download the files

The full table, the JSON, a CSV and the agent skill file for this chart. These are Max in the plan; while this is a prototype your email unlocks them.

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2040Young people under 25 years2040~2800000000Estimate0.30
2050Young people under 25 years2050~2750000000Estimate0.30
2060Young people under 25 years2060~2700000000Estimate0.30
2070Young people under 25 years2070~2650000000Estimate0.30
2080Young people under 25 years2080~2600000000Estimate0.30
2090Young people under 25 years2090~2550000000Estimate0.30
2100Young people under 25 years2100~2500000000Estimate0.30
1950Young people under 15 years1950~900000000Estimate0.30
1960Young people under 15 years1960~1100000000Estimate0.30
1970Young people under 15 years1970~1350000000Estimate0.30
1980Young people under 15 years1980~1550000000Estimate0.30
1990Young people under 15 years1990~1650000000Estimate0.30
2000Young people under 15 years2000~1700000000Estimate0.30
2010Young people under 15 years2010~1800000000Estimate0.30
2020Young people under 15 years2020~1850000000Estimate0.30
2023Young people under 15 years2023~1850000000Estimate0.30
2030Young people under 15 years2030~1800000000Estimate0.30
2040Young people under 15 years2040~1750000000Estimate0.30
2050Young people under 15 years2050~1700000000Estimate0.30
2060Young people under 15 years2060~1650000000Estimate0.30
2070Young people under 15 years2070~1600000000Estimate0.30
2080Young people under 15 years2080~1550000000Estimate0.30
2090Young people under 15 years2090~1500000000Estimate0.30
2100Young people under 15 years2100~1450000000Estimate0.30
1950Children under 5 years old1950~400000000Estimate0.30
1960Children under 5 years old1960~450000000Estimate0.30
1970Children under 5 years old1970~500000000Estimate0.30
1980Children under 5 years old1980~550000000Estimate0.30
1990Children under 5 years old1990~600000000Estimate0.30
2000Children under 5 years old2000~600000000Estimate0.30
2010Children under 5 years old2010~650000000Estimate0.30
2020Children under 5 years old2020~650000000Estimate0.30
2023Children under 5 years old2023~650000000Estimate0.30
2030Children under 5 years old2030~650000000Estimate0.30
2040Children under 5 years old2040~650000000Estimate0.30
2050Children under 5 years old2050~650000000Estimate0.30
2060Children under 5 years old2060~650000000Estimate0.30
2070Children under 5 years old2070~650000000Estimate0.30
2080Children under 5 years old2080~650000000Estimate0.30
2090Children under 5 years old2090~650000000Estimate0.30
2100Children under 5 years old2100~650000000Estimate0.30
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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 4bdc1eb0cf6e.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 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/4bdc1eb0cf6eTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/4bdc1eb0cf6e/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/4bdc1eb0cf6e/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/4bdc1eb0cf6e/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 0.30 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/4bdc1eb0cf6e.json and /api/charts/4bdc1eb0cf6e.skill.md.