Updated
13 May 2022
| Dataset date: January 01, 2017-December 31, 2022
This dataset updates: Every year
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
Updated
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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 ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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 ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
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 ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
Balanced world view for use by international non-governmental organizations. Disputed areas follow recommended representation used by the UN Clear Map. UN agencies should use official layers at the UN Geospatial Hub.
Updated
12 May 2022
| Dataset date: May 11, 2022-May 29, 2022
This dataset updates: Every month
Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
Updated
11 May 2022
| Dataset date: March 09, 2022-May 03, 2022
This dataset updates: Every two weeks
IOM conducted rapid representative surveys of the general population in Ukraine to gather initial insights into internal displacement and mobility flows, and to assess local needs. While Displacement Tracking Matrix tools are being established, this general population survey will serve as a preliminary source to identify areas with high humanitarian needs and to inform the targeting of response aiming to assist the conflict-affected population. The geographical scope of the survey covers all five macro-regions (West, East, North, Center, South, and the city of Kyiv). The probabilistic sample, representative at macro-region level, was constructed through a random‐digit‐dial (RDD) approach, and 2,000 respondents aged 18 and over were interviewed using the computer assisted telephone interviewing (CATI) method. Those currently outside Ukraine were not interviewed. Population estimates assume that children travel together with their adult guardians. The estimates rely on the UNFPA population data for Ukraine, agreed upon as the common population baseline by the humanitarian community.
Updated
10 May 2022
| Dataset date: January 07, 2020-May 10, 2022
This dataset updates: Every month
La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.
Updated
10 May 2022
| Dataset date: June 01, 2021-May 10, 2022
This dataset updates: Every month
La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.
Updated
10 May 2022
| Dataset date: October 22, 2021-April 01, 2022
This dataset updates: As needed
This data sets contains a shapefile with the building footprint of Wad Sherifey Refugee Settlement, Kassala, Sudan.
Wad Sherifey is a refugee camp located in the East of Sudan along the Mareb River. During the past year refugees fleeing from conflict have arrived and settled in the area, partly within flood prone areas of the Mareb River. Already vulnerable and displaced, now additionally facing the risk of floods. Actors like the Red Cross Red Crescent Climate Centre and MFS manage projects in this region, and OSM data sets like this support the expansion of anticipatory action (acting before a disaster happens www.anticipation-hub.org/) to those most affected by conflict and climate. The area was selected for OSM mapping through a methodology to identify & prioritize high-risk and unmapped areas within a country for OSM mapping (StoryMap: https://arcg.is/1eqOXj)
The data was collected through an HOT OSM task (https://tasks.hotosm.org/projects/11685), which was created in collaboration with MFS and led by the Netherland Red Cross’ Missing Maps Team. The task was completed (mapped & validated) in April 2022. The satellite imagery used for the mapping was from late August 2021 and provided by MFS.
Updated
10 May 2022
| Dataset date: January 01, 2016-December 31, 2022
This dataset updates: Every year
This data is a snapshot of the humanitarian situation in Chad. The data includes the targets that the humanitarian community will use in planning its response.
Updated
10 May 2022
| Dataset date: January 01, 2016-December 31, 2022
This dataset updates: Every year
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning
Updated
9 May 2022
| Dataset date: May 09, 2022-May 29, 2022
This dataset updates: Every six months
This database shows sea and air entry points of Kinshasa city. This data was updated by Maluku commune Red Cross volunteers during the training on the usage of OSMTracker, an opensource mobile phone GPS application for the CP3/IFRC program.
Updated
9 May 2022
| Dataset date: December 01, 2021-February 15, 2022
This dataset updates: Every six months
A village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and reintegration.
