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Central America - Population Growth

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

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

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

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 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

UNHCR People of Concern

UNHCR - The UN Refugee Agency

400+ Downloads

Time Period of the Dataset [?]: June 07, 2021-May 17, 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

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

Ukraine Situation Protection Profiling and Monitoring - July - October 2024

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between July and October 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the profiles, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

Web App
PDF

Ukraine Situation Protection Profiling and Monitoring - October 2023 - April 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 01, 2023-April 30, 2024 ... More

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between October 2023 and April 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the demographics, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

Web App
PDF

Yemen: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

8200+ 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

Nepal - Settlements

OSGeo Nepal

20+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every year

This dataset includes populated places (cities, towns, villages, hamlets) from the Overture Divisions theme, which merges boundaries from OpenStreetMap, geoBoundaries, and Esri. Read more at https://docs.overturemaps.org/guides/divisions/

Colombia: Desplazamiento y Confinamiento - Probabilidad y estimación

3iSolution

20+ Downloads

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

This dataset updates: Every six months

Datos sobre estimación de personas que pueden ser víctima por desplazamiento individual, masivo y confinamientos y probabilidad de presentarse eventos de desplazamiento y confinamiento para el primer semestre del año 2025. El archivo de Excel incluye 3 hojas con información sobre: • Estimación_Desplaza_individual: Estimación de personas que pueden ser víctimas por eventos de desplazamiento individual y probabilidad de presentarse eventos de desplazamiento individual en el primer semestre del año 2025. • Estimación_Desplaza_masivo: Estimación de personas que pueden ser víctimas por eventos de desplazamiento masivo y probabilidad de presentarse eventos de desplazamiento masivos en el primer semestre del año 2025. • Estimación_Confinamiento: Estimación de personas que pueden ser víctimas por eventos de confinamiento y probabilidad de presentarse eventos de confinamientos en el primer semestre del año 2025.

XLSX