Updated September 17, 2018
| Dataset date: Jan 1, 2011
Cambodia administrative levels 0 (country), 1 (province / khaet and capital / reach thani), 2 (municipality, district), and 3 (commune / khum, quarter / sangkat) population statistics with full sex and age disaggregation
These CSV tables are suitable for database or GIS linkage to the Cambodia administrative level 0-3 boundaries shapefiles.
NOTE caveats below.
September 17, 2018 update: Sex and age disaggregation data (computed from administrative level 1 data) included.
Updated September 17, 2018
| Dataset date: Oct 14, 2014
Cambodia administrative levels 0 (country), 1 (province / khaet and capital / reach thani), 2 (municipality, district), and 3 ( commune / khum, quarter / sangkat) boundary line shapefiles and KMZ files.
The datasets were obtained from the Department of Geography of the Ministry of Land Management, Urbanization and Construction in 2008 and unofficially updated in 2014 according to sub-decrees on administrative modifications. Data provided by WFP - VAM unit Cambodia.
These shapefiles are suitable for database or GIS linkage to the Cambodia administrative level 0-3 population statistics CSV tables. (However, six administrative level 3 records do not correspond to any of the level 3 shapefile features.)
This is the full Administrative dataset for Bangladesh. It includes administrative level 0 (nation), 1 (division), 2 (district), 3 (upazila), and 4 (union) polygons and lines. All units have two PCODES. For each administrative level 'X', the 'admXcode_old' is the original 'GEOCODE11' PCODE and the one most commonly used in country. The GEOCODE15 incorporates Mymensingh Division which was created in 2015.
Updated August 23, 2018
| Dataset date: Dec 31, 2017
This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin. Attributes provides details such as storm Name, Date, Time, wind speed and GPS points for each advisory point. Wind speeds are in knots for more details on speeds conversion and storm categories please visit the original source of data: http://weather.unisys.com/hurricane/index.php.
Updated August 16, 2018
| Dataset date: Jan 1, 2013
This spatial dataset of settlements is a national dataset of 729 villages, towns and cities and suburbs across DPR Korea. The attribute information includes the location name (in English) and the associated province name. This dataset can be complemented by the OSM dataset.
This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the World Food Programme. It is believed that the original source of the data is the Global Mapping initiative.