Updated
14 June 2022
| Dataset date: April 10, 2022-May 10, 2022
Newly displaced population due to conflict between 01 January 2022 and 10 May 2022, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 14 June 2022 and the numbers are expected to change as new assessment figures become available.
Updated
14 June 2022
| Dataset date: May 06, 2020-October 08, 2021
This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
Updated
14 June 2022
| Dataset date: May 11, 2022-June 28, 2022
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-June 28, 2022
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-June 28, 2022
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-June 28, 2022
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-June 28, 2022
Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: September 01, 2021-June 28, 2022
This dataset contains World Bank COVID-19 Vaccine financing support, the Gavi COVID-19 Delivery Support (early access), and the GAVI CDS (early access) Disbursed for selected countries.
Updated
13 June 2022
| Dataset date: September 02, 2020-June 28, 2022
The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors:
Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
Updated
13 June 2022
| Dataset date: February 01, 2014-December 31, 2021
The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in South Sudan at Admin 2 level.
Updated
11 June 2022
| Dataset date: January 05, 2022-June 28, 2022
South Sudan administrative level 0-2 2022 population estimates.
REFERENCE YEAR: 2022
Dataset updated by OCHA 2020.
This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020.
These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.
Updated
10 June 2022
| Dataset date: January 01, 2019-May 31, 2022
The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally.
It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high.
ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results.
Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity
This data is also available on ACAPS API: http://api.acaps.org/api/v1
Updated
10 June 2022
| Dataset date: October 15, 2017-October 15, 2017
Terre des hommes (Tdh) is leading a mHealth project in Burkina Faso, digitizing the Integrated Management of Chiildhood Illnesses (IMCI) protocol to improve the quality of care in 600 Primary Healthcare Centers (PHCs) in Burkina Faso. The data set is both a patient registry and a history of consultations for children under 5. All aggregated data is anonymous, and your access to the data set will be conditionned to obtaining an authorization for the Ministry of Health of Burkina Faso. More information here: https://www.tdh.ch/en/ieda
Updated
10 June 2022
| Dataset date: April 05, 2022-June 28, 2022
Niger administrative level 0-2 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the Niger - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Updated
10 June 2022
| Dataset date: May 20, 2019-May 20, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Angola: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
9 June 2022
| Dataset date: May 20, 2019-May 20, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Zimbabwe: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
Updated
9 June 2022
| Dataset date: May 20, 2019-May 20, 2019
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Zambia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
9 June 2022
| Dataset date: June 09, 2022-June 09, 2022
This dataset includes the names and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.
Updated
9 June 2022
| Dataset date: May 25, 2021-June 28, 2022
GAZETTEER CORRECTED 2022_06_09. Some records in the ADM3 and ADM4 tabs had incorrect ADM1_PCODE values.
Rwanda administrative level 0-3 sex and age disaggregated 2020 population statistics projections
REFERENCE YEAR: 2020
These CSV tables are suitable for database or GIS linkage to the Rwanda - Subnational Administrative Boundaries on HDX.
Updated
9 June 2022
| Dataset date: September 27, 2018-June 28, 2022
GAZETTEER CORRECTED 2022_06_09. Some records in the ADM3 and ADM4 tabs had incorrect ADM1_PCODE values.
The Admin boundary shapefiles for Rwanda since 2006. The shapefile was created in 2006 and updated by the 2012 Census mapping.
It was updated again on 17 Oct 2017.
These administrative level 0-3 shapefiles are suitable for database or GIS linkage to the Rwanda - Subnational Population Statistics tables.
02 October 2018 update:
Administrative level 1 (province) P-codes corrected at all levels.
27 September 2018 update:
Administrative level 0 (country) feature attributes corrected at all levels.
19 October 2018 update:
to Administrative levels 0 - 3:
Standardized P-codes, based on the pre-existing numeric codes added
Lake Kivu extent removed
Corrections made to two administrative level 1 names in the administrative level 3 (sector) shapefile
21 September 2018 update:
Administrative level 4 P-coded
Updated
9 June 2022
| Dataset date: May 25, 2022-June 28, 2022
Mali administrative level 0-2 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the Mali - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
