Severity Population Humanitarian Datasets | Find Crisis Data

Central America - Population Growth

10+ Downloads

Time Period of the Dataset [?]: January 01, 1963-December 31, 2023 ... More

This dataset updates: As needed

The dataset presents the economic indicator 'population growth rate (annual percentage)' for El Salvador, Nicaragua, Honduras, and Guatemala. This indicator represents the annual growth rate of the population, including all residents, regardless of their legal status or citizenship. The data have been assessed based on information obtained from the World Bank. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Syrian Arab Republic: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2900+ 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

Population living in low elevation coastal zones (0-10m and 0-20m above sea level)

Pacific Community

40+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2021 ... More

This dataset updates: As needed

Proportion of population in Pacific Island Countries and Territories (PICTs) living in Low Elevation Coastal Zones (LECZ) of 0-10 and 0-20 meters above sea level. LECZ were delineated using the bathub method overlaid on the Advanced Land Observing Satellite (ALOS) Global Digital Surface Model (AW3D30). Populations within the LECZs were estimated using the Pacific Community (SPC) Statistics for Development Division’s 100m2 population grids. Find more Pacific data on PDH.stat. Access this dataset from the Pacific Data Hub

CSV

Coastal population (1, 5 and 10km from coast)

Pacific Community

20+ Downloads

Time Period of the Dataset [?]: January 01, 2010-December 31, 2021 ... More

This dataset updates: As needed

Proportion of population living in 1, 5 and 10km buffer zones for Pacific Island Countries and Territories, determined using most recent Population and Housing Census. Number of people living in 1,5 and 10km buffer zones determined by apportioning population projections. Find more Pacific data on PDH.stat. Access this dataset from the Pacific Data Hub

CSV

Population projections

Pacific Community

30+ Downloads

Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More

This dataset updates: As needed

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups. Find more Pacific data on PDH.stat. Access this dataset from the Pacific Data Hub

CSV

Population densities

Pacific Community

50+ Downloads

Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More

This dataset updates: As needed

Population densities for Pacific Island Countries and Territories based on mid-year population projections and available informaiton about land area. Find more Pacific data on PDH.stat. Access this dataset from the Pacific Data Hub

CSV

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

INFORM Severity Index

ACAPS

13000+ 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

UNHCR People of Concern

UNHCR - The UN Refugee Agency

400+ Downloads

Time Period of the Dataset [?]: June 07, 2021-May 21, 2025 ... More

This dataset updates: Live

Geographic point layer representing all the people of concern's known locations in the world ( Refugees, Internally displaced, Stateless persons and other of concern). The data is displayed by population type and location type (typology adapted from the SPHERE handbook standard).

Antigua and Barbuda: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

French Southern Territories: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

American Samoa: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Armenia: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Argentina: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

United Arab Emirates: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

20+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Andorra: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Albania: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Anguilla: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Angola: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Afghanistan: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Aruba: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

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

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

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

40+ 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

Palau_Population_Grid_2020

Pacific Community

10+ Downloads

Time Period of the Dataset [?]: April 24, 2020-April 24, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Pacific Community - Population Grids

Population Raster Palau 2020 Data Input: Household locations from 2015 Household listing and population at Enumeration Area level extracted from 2015 Population and Housing Census conducted by Palau's Bureau of Budget & Planning Year Population Growth Rate of 0.6 % has been applied to update population up to 2020 Household locations vector layer transformed into a 100m resolution raster. Access this dataset from the Pacific Data Hub

Vanuatu_Population_Grid_2020

Pacific Community

50+ Downloads

Time Period of the Dataset [?]: April 03, 2020-April 03, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Pacific Community - Population Grids

Population Raster Vanuatu 2020 Data Input: Household locations from 2016 Population and Housing Census conducted using Survey Solutions CAPI (Computer Assisted Personal Interview). Year Population Growth Rate of 2.3% has been applied to update population up to 2020 Household locations vector layer has been transformed into a 100m resolution raster. Access this dataset from the Pacific Data Hub