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- Labor force sectors by income
Labor force sectors by income
Our World in Data's stacked bar chart drew 20.5K views on X: 0.7x its typical post and #109 of 139 Our World in Data charts we track by views. Read Oct 10, 2026.
In low-income countries, most people work in farming; in richer countries, they work in services, As countries get richer, the type of work that people do changes a lot.
Why it spread
This post spread because it explains itself, comes from an independent author, and pairs a clear income-and-work message with a stacked bar chart that reached the top quarter of source reach, drawing 20,488 views, 187 likes, 49 reposts, 6 quotes, and 28 saves.
What worked
- The chart is highly self labelling, so viewers can read the income groups and work sectors without extra explanation.
- The post text states the takeaway plainly, that richer countries shift from farming to services, which makes the chart easy to share.
- It comes from an independent author in data journalism with a branded chart and a visible source line, which supports trust and reach.
What to borrow
We could use the same self explaining stacked bar form and the same plain framing, showing how a workforce shifts across income groups with our own data.
Careful
Do not over read the result as proofagy of causation, and do not copy the exact framing without checking that our own data supports the same income and sector pattern.
Written by our analysis model from the measured numbers above, not by Our World in Data.
Make it yours
Your numbers, in this stacked bar chart.
Starts from the real numbers of "Share of the labor force working in different sectors in 2023" 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 ea5e53e29949.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/ea5e53e29949 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/ea5e53e29949/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/ea5e53e29949/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/ea5e53e29949/data \
-H "Authorization: Bearer $VIRALCHART_KEY"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.
More from Our World in Data
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Questions people ask
How far did Our World in Data's "Labor force sectors by income" chart travel?
20,488 views, 187 likes, 49 reposts and 28 saves on X, read Oct 10, 2026. A normal post from @OurWorldInData gets about 28.6K views.
What kind of chart is it?
A stacked bar chart. Higher income countries shift from agriculture to industry and services.
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.