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The World Bank Urban Expansion Data 2000- 2010
The World Bank’s unique database is a complete map of built-up areas across the East Asia region (stretching from Mongolia to the Pacific Islands) for the years 2000 and 2010, combined with a population distribution map. The dataset, which includes data on all 869 urban areas in the region with populations over 100,000, is a treasure trove of changing patterns of urbanization in recent years. The data also include maps for five cities with more detailed land use classifications, using ~10m resolution satellite imagery.
Data can be downloaded at puma.worldbank.org/downloads.
East Asia and Pacific region-wide data (select dataset 'Urban Expansion 2000-2010):
- Shapefiles of administrative boundaries, showing built-up areas and population mapped to those areas in c2000 and c2010, downloadable by country (.shp).
- Raster maps showing built-up areas for c2000 and c2010, downloadable by country (.tif).
- Tables showing urban land and urban population by country and by individual urban area (.xls).
Five cities in detail (select dataset 'PUMA Land Use'):
- Land use/ land cover maps for Surabaya (Indonesia), Ho Chi Minh City and Hai Phong (Vietnam), Cebu (Philippines), and Ulaanbaatar (Mongolia), for c2000 and c2012, using GMES (European Urban Atlas) land cover classifications (.shp) Important notes
Important notes on definitions:
- ‘Urban areas’ as defined in these data are not delimited by administrative boundaries. As explained in the readme.txt file, urban areas can be grouped using the ‘WB_agglom’ field in the administrative boundary shapefiles. Entries that combine data on ‘urban areas’, as defined here, with data on ‘cities’ or ‘metropolitan areas’ defined differently, without adjustment, may be considered misleading and judged accordingly.
- Similarly, urban populations in this study are measured differently from national statistical agencies, which means national urban population figures here differ from those reported by the United Nations World Urbanization Prospects, which uses national definitions, and consequently on the World Bank Open Data website, which draws from UN statistics.