Unemployment is a static rebuild, not a live database. A Python script reads World Bank and IMF JSON from data/raw/, computes a handful of summary statistics, and writes HTML, JSON and a sitemap.
Ingest
- Unemployment (% of labour force) is World Bank indicator SL.UEM.TOTL.ZS (ILO modelled estimate).
- Youth unemployment (% of labour force ages 15–24) is SL.UEM.1524.ZS.
- Female unemployment is SL.UEM.TOTL.FE.ZS; male unemployment is SL.UEM.TOTL.MA.ZS.
- Labour force participation (% of population ages 15+) is SL.TLF.CACT.ZS.
- Employment to population (% of population ages 15+) is SL.EMP.TOTL.SP.ZS.
- Taiwan’s headline unemployment rate is filled from IMF WEO LUR because World Bank Open Data does not publish Taiwan. Youth, sex, participation and employment-to-population pages omit Taiwan unless a World Bank series appears.
- World Bank aggregate regions are dropped, except the euro area (EMU), which is kept for the /ea/ desk.
- Rankings use the latest year available for that economy. Economies do not all share the same last year.
- ILO modelled estimates are not the same as a national labour-force survey. They exist so rates can be compared across economies with a common definition.
What we do not do
We do not change a published value, fill a gap with an interpolation, or splice World Bank and IMF series for the same economy. IMF is used only when the Bank has no series.
Charts and tables
Charts are annual. The all-countries chart starts with the twelve highest latest readings; the legend and the table let you add or remove economies. Range buttons filter the view only. Country desks chart that country plus a related-country set.
Ads
Pages load Google AdSense (publisher id ca-pub-6557770900386479, listed in ads.txt). There are no reserved layout boxes on the page; ads may still appear through the network script.