Severity Gazetteer Humanitarian Datasets | Find Crisis Data

Syrian Arab Republic: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2700+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Haiti - Humanitarian Access Severity

OCHA Haiti

200+ Downloads

Time Period of the Dataset [?]: April 30, 2023-December 12, 2024 ... More

This dataset updates: Every year

Humanitarian access constraints data compiled at national level based on workshops in the 10 Departements (admin 1). The dataset provides an estimation on the severity level for different type of actors and different types of access constraints.

XLSX

Somalia - Subnational Population Statistics

OCHA Somalia

COD 7900+ Downloads

Time Period of the Dataset [?]: January 01, 2005-September 17, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Population Statistics

The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data The data collected in 2024 has now been endorsed for use.

XLSX
CSV

INFORM Severity Index

ACAPS

12000+ Downloads

Time Period of the Dataset [?]: January 01, 2019-April 30, 2025 ... More

This dataset updates: Every month

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 about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index Users can specify time period and download from: https://www.acaps.org/en/data#dataset-3

XLSX

Colombia: Cálculo de las Personas en Necesidad (PiN) y las Severidades del...

3iSolution

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: As needed

El archivo tiene los resultados del cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA) para el año 2025 en Colombia.

XLSX

Syrian Arab Republic: JIAF Humanitarian Needs People in Need and Severity

OCHA Syria

30+ Downloads

Time Period of the Dataset [?]: April 24, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

XLSX
PDF

Yemen: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

7500+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Ukraine: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2700+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Colombia: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2100+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Myanmar - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD 1100+ Downloads

Time Period of the Dataset [?]: March 11, 2024-March 31, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Myanmar administrative level 0-5 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB was most recently reviewed for accuracy and necessary changes in March 2024. The COD-AB requires improvements. Sourced from Myanmar Information Management Unit (MIMU) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Myanmar COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 18 feature(s). The normal administrative level 1 feature type is ""State/Region"". Administrative level 2 contains 80 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 330 feature(s). The normal administrative level 3 feature type is ""Township"". Administrative level 4 contains 14,174 feature(s). The normal administrative level 4 feature type is ""Town / Village tract"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Benin - Subnational Population Statistics

UNFPA

COD+ 2100+ Downloads

Time Period of the Dataset [?]: July 01, 2023-July 31, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Benin administrative level 0-2 sex and age disaggregated 2024 projected population statistics REFERENCE YEAR: 2024 These tables are suitable for database or GIS linkage to the Benin - Subnational Administrative Boundaries or the Benin - Subnational Edge-matched Administrative Boundaries layers using the ADM0, ADM1, and ADM2-PCODE fields.

Ecuador - Subnational Administrative Boundaries

OCHA Latin America and the Caribbean (ROLAC)

COD+ 3800+ Downloads

Time Period of the Dataset [?]: May 30, 2017-January 09, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Ecuador administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2017 NOTE: ADM4 feature names are not yet availalble. (Currently ADM4_PCODE is copied into ADM4_ES as a proxy.) No lines layer is yet availalbe. The live geoservices do not reflect the new ADM4 level. This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB does not require any update. Sourced from INEC - Instituto Nacional de Estadística y Censos Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Ecuador COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 26 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 223 feature(s). The normal administrative level 2 feature type is ""currently not known"". Administrative level 3 contains 1,044 feature(s). The normal administrative level 3 feature type is ""currently not known"". Recommended cartographic projection: South America Albers Equal Area Conic This metadata was last updated on January 9, 2025.

SHP
XLSX

Colombia - PiN General y Severidad Intersectorial

3iSolution

60+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: As needed

Para el año 2025 la estimación de las Personas en Necesidad (PiN) General y las Severidades intersectoriales para Colombia, se desarrolló siguiendo la metodología global JIAF 2.0 (Joint Intersectoral Analysis Framework, por sus siglas en inglés). Esto se relaciona con el análisis del documento del Plan de Respuesta a Prioridades Comunitarias – PRPC- 2025.

XLSX
PDF

Colombia - PiN Clúster Seguridad Alimentaria y Nutrición

3iSolution

10+ Downloads

Time Period of the Dataset [?]: January 01, 2024-October 02, 2024 ... More

This dataset updates: As needed

Esta base contiene el resultado final del cálculo de las severidades y la Población en Necesidad (PiN) para el Clúster de Seguridad Alimentaria y Nutrición, Colombia 2025. Para más información, por favor diríjase a la nota metodológica en el siguiente enlace: https://reliefweb.int/report/colombia/pin-2025-nota-metodologica-estimacion-personas-en-necesidades-2025

XLSX

Mali: JIAF Humanitarian Needs People in Need and Severity

OCHA Mali

60+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Sudan: JIAF Humanitarian Needs People in Need and Severity

OCHA Sudan

90+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Chad: JIAF Humanitarian Needs People in Need and Severity

OCHA Chad

90+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Angola - Subnational Administrative Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD+ 5300+ Downloads

Time Period of the Dataset [?]: August 30, 2018-March 06, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Angola administrative level 0-3 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about two special ADM2 records. The shapefile zipfile in the HDX dataset was corrected in March 2025. It previously excluded the ADM1 layer. This COD-AB was most recently reviewed for accuracy and necessary changes in January 2025. The COD-AB requires improvements. Sourced from OCHA Regional Office for Southern and Eastern Africa (ROSEA) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. USERS SHOULD BE AWARE that changes to COD-AB datasets on HDX since February 2025 will NOT be reflected in the live geoservices. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Angola COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 18 feature(s). The normal administrative level 1 feature type is 'Province'. Administrative level 2 contains 161 feature(s). The normal administrative level 2 feature type is 'Municipality'. Administrative level 3 contains 539 feature(s). The normal administrative level 3 feature type is 'currently not known'. Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on March 06, 2025.

Dominican Republic - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 3000+ Downloads

Time Period of the Dataset [?]: September 06, 2017-February 28, 2025 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Dominican Republic administrative level 0-4 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: This COD-AB was updated by OCHA FIS in March 2025 without the most complete quality control processes. The live geoservices have not been similarly updated. The accompanying COD-EM has not been similarly updated. The COD-PS extends only to ADM2 This COD-AB was most recently reviewed for accuracy and necessary changes in February 2025. The COD-AB does not require any update. Sourced from OCHA Field Information Services Section (FISS) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. USERS SHOULD BE AWARE that changes to COD-AB datasets on HDX since February 2025 will NOT be reflected in the live geoservices. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Dominican Republic COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 10 feature(s). The normal administrative level 1 feature type is 'region'. Administrative level 2 contains 32 feature(s). The normal administrative level 2 feature type is 'province or national district (distrito nacional)'. Administrative level 3 contains 158 feature(s). The normal administrative level 3 feature type is 'municipio'. Administrative level 4 contains 383 feature(s). The normal administrative level 4 feature type is 'dm(?)'. Recommended cartographic projection: North America Albers Equal Area Conic This metadata was last updated on March 04, 2025.

Colombia - People in Need (PiN) for the Protection Cluster and Child...

Protection Cluster Colombia

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the final results of the severity calculations and the People in Need (PiN) for the Protection Cluster, as well as the GBV, Mine Action, and Child Protection Areas of Responsibility in Colombia for 2025.

XLSX

Afghanistan - Subnational Administrative Boundaries

geoBoundaries

2500+ Downloads

Time Period of the Dataset [?]: January 01, 2007-December 31, 2014 ... More

This dataset updates: Live

This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

GeoJSON
SHP

Marshall Islands - Subnational Population Statistics

OCHA Regional Office for Asia and the Pacific (ROAP)

COD 1500+ Downloads

Time Period of the Dataset [?]: August 01, 2021-August 31, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Marshall Islands administrative level 0 sex and age disaggregated population statistics REFERENCE YEAR: 2021 This .CSV table is suitable for database or GIS linkage to the Marshall Islands - Subnational Administrative Boundaries administrative level 0 shapefile using the ADM0_PCODE field.

XLSX
CSV

Yemen: JIAF Humanitarian Needs and Response Plan

OCHA Yemen

200+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

The dataset provides a full breakdown of the affected population, people in need, severity, planned target by cluster, population group, and SADD at the ADM2 level.

XLSX
PDF

Honduras - Subnational Administrative Boundaries

OCHA Latin America and the Caribbean (ROLAC)

COD+ 4200+ Downloads

Time Period of the Dataset [?]: July 01, 2010-July 01, 2010 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Honduras administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB was most recently reviewed for accuracy and necessary changes in November 2024. The COD-AB does not require any update. Sourced from Sistema Nacional de Información Territorial (SINIT), Secretaria Técnica de Planificación y Cooperación Externa (SEPLAN), 2010 Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Honduras COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 18 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 298 feature(s). The normal administrative level 2 feature type is ""currently not known"". Recommended cartographic projection: North America Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Somalia - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 8700+ Downloads

Time Period of the Dataset [?]: June 23, 1984-December 31, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Somalia administrative level 0-2 boundaries (COD-AB) dataset.Boundaries established: 1984 NOTE: In addition to administrative levels 0-2, this dataset includes ""level 1 Operational Zones"" (OPZ1) and ""level 2 Operational Zones"" (OPZ2). 17 OPZ1 features within the Banadir administrative level 1 feature are now (as of the January 2025 update) coincident with individual administrative level 2 features. Two further OPZ1 features within the Banadir administrative level 1 polygon are excluded from the administrative structure and must be named and P-coded as 'unspecified'. All Operational Zones are not administrative boundaries and are not identified as administrative level 3 features. The six Federal member states (Somaliland, Puntland, Galmudug, Hirshabelle, South West, and Jubaland) are NOT integrated into the administrative structure. (Their boundaries cannot be constructed even from administrative level 2 features.) This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB does not require any update. Sourced from OCHA Somalia Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Somalia COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 18 feature(s). The normal administrative level 1 feature type is 'Region'. Administrative level 2 contains 91 feature(s). The normal administrative level 2 feature type is 'District'. Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 23, 2025.