Updated January 2, 2019
| Dataset date: Jan 1, 2017
This dataset updates: Every year
This dataset contains population estimates for Armenia for 2017 at country-level and first administrative level. It includes a breakdown by urban and rural areas and has population disaggregated by sex and age groups.
The file includes a sheet with metadata.
Data from the 2011 population census is available here: https://data.humdata.org/dataset/armenia-population-census-2011
Updated December 28, 2018
| Dataset date: Dec 28, 2018
This dataset updates: Every year
Comoros administrative level 0 (country), 1 (island), 2 (prefecture), and 3 (commune), boundary polygon and line shapefiles, EMF files, KMZ files, and geodatabase, and gazetteer.
The gazetteer includes uncertified administrative level 4 (locality) and 5 (village) tables for which no boundaries are available.
The administrative level 0, 1, and 2 shapefiles are suitable for database and GIS linkage to the Comoros administrative level 0-2 population statistics CSV tables.
Updated December 28, 2018
| Dataset date: Dec 28, 2018
This dataset updates: Every year
Comoros administrative level 0 (country), 1 (island), 2 (prefecture), 4 (locality), and 5 (village) population statistics
The gazetteer includes an administrative level 3 (commune) table for which no statistics are available.
The CSV files are suitable for database or GIS linkage to the Comoros administrative level 0-3 boundaries administrative level 0, 1, and 2 shapefiles.
Updated December 28, 2018
| Dataset date: Dec 19, 2018
This dataset updates: Every year
Namibia administrative level 0 (country), 1 (region) and 2 (constituency) population statistics and gazetteer
The CSV files are suitable for database or GIS linkage to the Namibia administrative level 0-2 boundaries shapefiles.
Updated December 28, 2018
| Dataset date: Jan 1, 2011
This dataset updates: Every year
Namibia administrative level 0 (country), 1 (region) and 2 (constituency) population statistics
The shapefiles are suitable for database or GIS linkage to the Namibia administrative level 0-2 population statistics CSV tables.
Updated December 28, 2018
| Dataset date: Dec 27, 2018
This dataset updates: Every year
South Africa administrative levels 0 (country), 1 (province), 2 (district), and 3 (local municipality) boundaries polygon and line shapefiles, KMZ files, EMF files, and geodatabase, and gazetteer.
These shapefiles are suitable for database or GIS linkage to the South Africa administrative levels 0-3 population statistics CSV tables.
Updated December 27, 2018
| Dataset date: Dec 27, 2018
This dataset updates: Every year
South Africa administrative levels 0 (country), 1 (province), 2 (district), and 3 (local municipality) population statistics.
These CSV files are suitable for database or GIS linkage to the South Africa administrative levels 0-4 boundaries shapefiles.
Updated December 26, 2018
| Dataset date: Dec 26, 2018
This dataset updates: Every year
Pakistan administrative level 0 (country), 1 (province, federal capital territory, autonomous and disputed territory, or group of federally administered tribal areas), 2 (district), and 3 (tehsil) boundary polygons, lines, and central places.
Updated December 24, 2018
| Dataset date: Dec 24, 2018
This dataset updates: Never
This datasets are extracted from the government sources. Levels 1-4 (Province to village) of Banten Province areas where hit Tsunami on 24 December 2018.
Banten administrative level 1 (province or special administrative area), 2 (Districts and Cities / Kabupaten and Kota), 3 ( Subdistricts / Kecamatan), and 4 (administrative Villages / Desa) boundary polygons.
Each original resource with Indonesian field names and codes is accompanied by a version that appends standard field names and P-codes.
Updated December 20, 2018
| Dataset date: Mar 2, 2016
This dataset updates: Never
Populated places dataset for Ethiopia endorsed by the Inter-Cluster Information Management Working group (ICIMWG) on March 2 2016 after cleaning and processing done by ITOS. Source: Multiple sources
Updated December 19, 2018
| Dataset date: Dec 17, 2018
This dataset updates: Every year
Ecuador administrative level 0 (country), level 1 (province), 2 (canton), and 3 (parroquia) boundary polygons. The administrative level 0-2 shapefiles are suitable for database or GIS linkage to the "Ecuador population statistics for administrative level 1, 2, and 3" shapefiles on HDX.
Updated December 18, 2018
| Dataset date: Jan 31, 2013
This dataset updates: Every year
This spatial dataset of major rivers provides the delimitation of major water courses in Afghanistan. It comprises 24 water course features, which are attributed with a hydrological description and watercourse name (English).
This dataset was last modified by the OCHA IMU in January 2013. The scales at which the original datasets were created are unknown, but it is likely that they were digitized at a scale of around 1:500,000. The purpose of this dataset is to show major rivers at a provincial scale or higher.
The multiple sources of the data are as follows: South East Asia Rivers, USAID map of ongoing humanitarian assistance to Afghanistan; Foreign and Commonwealth Office Library map series 230 (2005); and an alternative country river line dataset (custodian unknown).
Updated December 18, 2018
| Dataset date: Dec 31, 2012
This dataset updates: Every year
This road network for Afghanistan includes a simple classification of major and minor roads ("Class" field). The original dataset was sourced from the Afghanistan Information Management Services (AIMS) organisation and updated using OSM, Google Earth, and field observation.
Updated December 17, 2018
| Dataset date: Dec 4, 2018
This dataset updates: Every year
Ecuador administrative level 0 (country), 1 (province), 2 (canton) and 3 (parroquia) population statistics. The administrative level 0-2 tables are suitable for database or GIS linkage to the "Ecuador administrative level 0 (country), level 1 (province), 2 (canton), and 3 (parroquia) boundaries" shapefiles on HDX.
Updated December 6, 2018
| Dataset date: Dec 5, 2018
This dataset updates: Every year
Administrative boundary, administrative level 0 (national), level 1 (department), level 2 (commune), and level 3 (section communale).
Notice! The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
These shapefile and geodatabase classes are fully compatible with the Haiti - Estimated population in 2015 (with pcodes) population statistics tables available on HDX.
The 'AdminLevel' field categorizes the lines AdminLevel 0: coastlines AdminLevel 1: lines between administrative level 1 polygons AdminLevel 2: lines between administrative level 2 polygons within the same administrative level 1 polygon AdminLevel 3: lines between administrative level 3 polygons within the same administrative level 2 polygon AdminLevel 99: international borders
Updated December 5, 2018
| Dataset date: Dec 5, 2018
This dataset updates: Every year
Total population by gender, total population in different geographical units , number of households , area of different geographical units.
P-coded file includes: Estimates at administrative level 3 for: total population, male, female, over 18 yrs, no of households, area in square km, density per square km.
These population statistics tables are suitable for database or GIS linkage to the Haiti Administrative Boundary levels 0 - 3 shapefiles and geodatabase available on HDX.
Updated November 26, 2018
| Dataset date: Aug 4, 2017
This dataset updates: Every year
Last update August 2017 (harmonization of codes following the IMWG meeting eg SN010101) according to the COD databases approved by the RO in January 2016; See metadata for description of ITOS cleaning and processing.
The dataset represents Admin level 0 (International), Admin Level 1 (Region), Admin Level 2 (Departement), Admin Level 3 (Arrondissement).
Updated November 23, 2018
| Dataset date: Jan 1, 2017
This dataset updates: Every year
The dataset contains the settlements/ location in Pakistan with Province, District and Tehsil details. The source of the dataset is World Gazetter- National Geospatial-Intelligence Agency.
