Population Raster New Caledonia 2020
Data Input: Settlement footprint from Facebook's High-Resolution Population Density Maps https://data.humdata.org/dataset/new-caledonia-high-resolution-population-density-maps-demographic-estimates
Population allocated proportionally using 2011 census population counts at enumeration area (districts de recensement) level.
Year Population Growth Rate of 0.2% (0.001957) has been applied to update population up to 2020
The human settlement footprint with census population allocated has been converted into a 100 m resolution raster.
Access this dataset from the Pacific Data Hub
Total Population by Single-Year Age, Sex, Region, Province, City/Municipality and Barangay (admin 4) Census 2020.
It uses the new 10-digit pcode consistent with [Philippines - Subnational Administrative Boundaries] (https://data.humdata.org/dataset/cod-ab-phl).
Tanzania administrative level 0 (country), 1 (region), 2 (district), and 3 (ward) boundary and line shapefiles, geodatabase
These boundary files are suitable for database or GIS linkage to the Tanzania administrative level 0-3 population statistics tables.
These boundaries reflect the creation of Songwe region (TZ26) in January 2016 from the western half of Mbeya Region.
Timor-Leste administrative level 0-1 sex and age disaggregated 2022 projected population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Timor-Leste - Subnational Administrative Boundaries layers using the ADM0 and ADM1_PCODE fields.
Note caveats.
Burundi administrative level 0-2 sex and age disaggregated 2022 projections with standard and special age categories
REFERENCE YEAR: 2022 (projected from 2008)
Population estimation done by UNFPA with Institut de Statistiques et d'Etudes Economiques du Burundi.
These CSV tables are suitable for database or GIS linkage to the Burundi - Subnational Administrative Boundaries using the P-codes as keys. See caveats.
2020 Census Total Population by Barangay (admin4) with new 10-digit pcode with Maguindanao del Sur and Norte; Missing barangays in R12 that moved to BARMM
The 2018 Population and Housing Census (2018 PHC) was conducted by the National Statistical Office (NSO). The 2018 PHC is the sixth in the series having conducted the previous ones in 1966, 1977, 1987, 1998 and 2008. The following reports present the main results of the 2018 Population and Housing Census (PHC) that was conducted from 3 – 23 September 2018 by the National Statistical Office (NSO). The Census enumeration was successfully conducted by the large teams of enumerators and supervisors after undergoing rigorous training prior to their deployment. The planning and organizational structure put in place ensured good household coverage. The 2018 PHC was the first one to be conducted on the Computer Assisted Personal Interview (CAPI) programme. The data was collected and captured on tablets and transmitted to the NSO server electronically via the internet. This process is very efficient and reduces the time for data processing and cleaning as these processes are done at the data capture stage in the field.
Please consult the Malawi Data Dissemination Platform to get more data. The website uses an unsecure http format, which is not problematic for consulting the data. Avoid the browser block.
Data also available in GHDx
Myanmar administrative level 0-3 sex and age disaggregated projected 2022 population statistics
REFERENCE YEAR: 2022
These population statistics are suitable for database or GIS linkage to the Myanmar - Subnational Administrative Boundaries or the Myanamar - Subnational Edge-matched Administrative Boundaries administrative level 0-3 layers using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.
The COD-AB and COD-EM layers manages both 15-feature and 18-feature administrative level 1 systems. These COD-PS tables conform to the 18-feature system.
See caveats for further information.
These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom Foreign, Commonwealth & Development Office (OPP1182425). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.
This work provides an estimate of the geographic distribution of the population of Mozambique in 2017. The outputs are intended as an interim population product to support ongoing development and operations work until such time as the official 2017 Population and Housing Census results are available in a spatial gridded format. At that time, this interim gridded population layer will be superseded and users will be advised to use the official gridded population release from INE.
For further details, please, read MOZ_population_v1_1_README.pdf
Recommended citation
Bondarenko M, Jones P, Leasure D, Lazar AN, Tatem AJ. 2020. Census disaggregated gridded population estimates for Mozambique (2017), version 1.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00672
This dataset contains the population profile by age group, sex (male/female) and urban/rural in 2010. This data, derived from the Indonesia Population Census 2010 (Sensus Penduduk) data published by BPS every 10 years. The data is available in MS. Excel (XLS) format: https://sp2010.bps.go.id/index.php/site/tabel?tid=263&wid=0
This datasets include Maldives Sex disaggregated population data by various administrative levels (1 to 3) based on 2014 Census with P-codes. The data were cleaned by the Faculty of Engineering, Science and Technology within the Maldives National University.