GeoFrame / International
GeoFrame · International · Region
Every world region on one frame
The international sibling of GeoFrame (US metros). Here the anchor is the standard World Bank region — putting the seven WB regions on a single frame: population, the local price level (World Bank PPP ÷ exchange rate, US = 1.00), and — the signature metric, where an owned pay differential maps to the region — whether pay actually outruns the local cost of living, relative to the US worker.
Real earning power = pay index ÷ price levelWorld Bank PA.NUS.PPP ÷ PA.NUS.FCRF · SP.POP.TOTL · CC BY 4.0Region grain — metro is a later phase
Read this as a region, not a city. A World Bank region aggregate is coarse by construction — it rolls a whole continent into one number. 5 of the 7 regions carry a real earning-power figure (where our owned pay data maps cleanly); the rest render population and price level only, rather than fabricate pay. REGION grain only. Metro/city international pricing needs per-city data and is a later phase.
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| World Bank region | Population | Price level (US=1) | Pay index (US=1) | Real earning power |
|---|---|---|---|---|
| East Asia & Pacificcoarse pay | 2,390,873,921 | 0.44 | 0.67× | 1.50× |
| South Asiacoarse pay | 1,692,252,900 | 0.23 | 0.44× | 1.88× |
| Sub-Saharan Africa | 1,321,654,217 | 0.39 | — | — |
| Europe & Central Asiacoarse pay | 932,525,035 | 0.57 | 0.51× | 0.91× |
| Middle East & North Africa | 828,025,185 | 0.71 | — | — |
| Latin America & Caribbean | 666,592,570 | 0.48 | 0.63× | 1.32× |
| North Americacoarse pay | 383,501,065 | 0.98 | 0.95× | 0.96× |
“—” in real earning power = no owned pay-region maps cleanly to that World Bank region. We render the geography honestly rather than fabricate a pay figure.
World reference — population 8,215,424,893, price level 0.46 (US = 1.00). No earning-power figure: the owned “Global” number is a skew artifact, not a regional pay level.