AndreaBozzo/ceres-open-data-index huggingface dataset:
Cabo Verde - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Flood analysis for Myanmar (06 August 2015)

This is "Flood vectors - Sentinel-1 (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 48,899 satellite detected water bodies with a spatial extent of 1,140.54 square kilometers derived from the Sentinel-1 image a...

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in City of Naga Municipality, Cebu Province, Region VII, Philippines as of 21 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures and buildings in City of Naga & Minglanilla municipalities, Cebu province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 21 December 2021. Within the analyzed area, UNOSAT identified 876 damaged structures and 1,361 potentially damaged structures.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Belarus - Protection Profiling and Monitoring - May-Dec 2022

To strengthen and promote an evidence-based protection response, UNHCR and its partners have been implementing a protection monitoring exercise since May 2022 to regularly collect and analyze data about the profiles, needs and intentions of refugees from Ukraine and monitor changes over time. The exercise covers the following countries that have received refugees from Ukraine: Belarus, Bulgaria, Hungary, Republic of Moldova, Poland, Romania and Slovakia.

The protection monitoring involves household-level interviews conducted at border crossing points, reception and transit centres, collective sites, and assistance points in major cities using a structured questionnaire. Trained enumerators from UNHCR and partners collect data in face-to-face interviews. While respondents are randomly selected to reduce bias, the sample is considered a non-probability sample and results should be considered indicative, meaning they cannot be extrapolated to the population of refugees from Ukraine. The result reflects the refugees' situation and intentions at the time of data collection.

This dataset includes 1,409 household interviews conducted in Belarus between May and December 2022. It is an anonymous version of the original data collected and used for the primary analysis.

Tags: needs assessment, protection, refugees
Organization: UNHCR - The UN Refugee Agency
Togo - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Albania - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Satellite detected water  and landslide extents  in Kinshasa Province, Democratic Republic  of The Congo  as of 13 January 2024

**UNOSAT code: FL20231229COD**  This map illustrates satellite-detected surface waters and landslide location in Kinshasa Province, Democratic Republic of The Congo, as observed from a WorldView-3 image acquired on 13 January 2024, at 10:36 local time. Within the analysed area of 130km2, approximately 4 km2 of land appear to be flooded and a landslide location observed. Within the analysed area 9,352 buildings are identified as potentially affected by the floods and landslide.  
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Buloburto City and surroundings, Buloburto District, Hiraan Region, Somalia, 30 November 2023

**UNOSAT code: FL20231105SOM**  This map illustrates satellite-detected surface waters in Buloburto City, Buloburto District, Hiraan Region, Somalia as observed from a Worldview-2 image acquired on 30 November 2023. Within the analysed area of about 150 km2 about 23 km2 of land appears to be flooded.  Furthermore, within the analysed area  7,151 buildings are identified as potentially affected by the floods as of 30 November 2023.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Bu'aale City, Bu'aale District, Middle Juba Region, Somalia, 13 November 2023

**UNOSAT code FL20231105SOM**  This map illustrates satellite-detected surface waters in Bu'aale City, Bu'aale District, Middle Juba Region, Somalia as observed from a Pleiades image acquired on 13 November 2023 at 07:24 UTC. Within the analysed area of about 1,000 hectares about 700 hectares of land appear to be flooded.   
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Juba Hoose Region, Somalia as of 07 November 2023

**UNOSAT code FL20231105SOM**  This map illustrates satellite-detected surface waters in Jilib District, Juba Dhexe & Afmadow Jamaame District, Juba Hoose Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 7,300 km², about 60 km² of land appear to be flooded.   
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Luuq & Doolow District, Gedo Region, Somalia as of 07 November 2023

**UNOSAT code FL20231105SOM**  This map illustrates satellite-detected surface waters in Luuq & Doolow District, Gedo Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 12,500 km², about 150 km² of land appear to be flooded.   
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage analysis by settlement of the 11th October 2023 Hirat earthquake

**UNOSAT code EQ20231008AFG, GDACS Id: 1394952**  This map illustrates the level of damage induced by the 11 October earthquake (M6.3) in settlements North and North-West Herat as observed from very high-resolution images WorldView-3 and WorldView-1 acquired on 11 October 2023. UNOSAT has analysed an area of a total of 3,150km² and detected 123 affected settlements, amongst which 92 are moderately affected, 10 severely affected and 21 are almost destroyed. In addition, 25 settlements have no visible damages.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 26 and 30 July 2023 over Pakistan

**UNOSAT code FL20230729PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan between 26 to 30 July 2023. Within the analyzed area in a cloud-free zone of about 723,000 km², a total of about 27,000 km² of land appear to be affected by flood waters. Based on Worldpop population data and the maximum flood water coverage, at least 10 million people were potentially exposed or living close to flooded areas.  
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Surface Waters Monitoring In Pakistan - Evolution - 22 June 2023

**UNOSAT code TC20230616PAK**  Status: Overall increase in the observed surface waters  
Further action(s): continue monitoring  
  
Evolution of Cumulative Surface Waters over I.R. of Pakistan (26 to 30 April 2023) Vs. (16 to 20 June 2023)   
- Between 16 to 20 June 2023 approximately 3 million people are potentially exposed or living close to maximum floodwaters areas(*);  
- Approximately 468,000 people are potentially exposed or living close to minimum floodwaters areas(**) between 16 to 20 June 2023;  
- Based on satellite observations between 16 to 20 June 2023 and compared with observations between 26 to 30 April 2023, the maximum flood water extent appears to increase approximately ~ 2,000 km² in Sindh and ~ 3,500 km² in Punjab.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Shabelle District, Shabelle Region, Ethiopia as of 28 March 2023

**UNOSAT code FL20230327SOM**  This map illustrates satellite detected surface waters in Shabelle District, Shabelle Region, Ethiopia as observed from a Sentinel-2 image acquired on 28 March 2023 at 07:49 UTC. Within the analyzed area of about 44,000 km2, about 485 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 40,000 people are potentially exposed or living close to flooded areas.  
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Zambezia Provinces, Mozambique as of 24 March 2023

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates satellite-detected surface waters in Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 24 March 2023 at 05:00 local time and using an automated analysis with a machine learning method. Within the analyzed area of about 20,000 km2, about 330 km2 of land appear to be flooded.   
  
Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Maganja Da Costa, with ~10,000 people, Cidade De Quelimane with ~4,500 people, Inhassunge with ~ 3,500 people and Maquival with ~ 3,000 people.  
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 21 and 25 March 2023 over Mozambique

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 21 to 25 March 2023. Within the cloud free analyzed areas of about 620,000 km², a total of about 18,300 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,700 km2 since the 15-19 March 2023.  
Based on Worldpop population data and the maximal flood water extent, ~1,300,000 people are potentially exposed or living close to flooded areas mainly located in Zambezia province with ~480,000 people, Nampula province with ~210,000 people and Sofala province with ~ 210,000 people.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water  extents between 15 and 19 March 2023 over Inhambane, Sofala, Tete and Zambezia Provinces, Mozambique

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 15 to 19 March 2023. Within the cloud free analyzed areas of about 600,000 km², a total of about 21,000 km² of lands appear to be affected with flood waters.  
Based on Worldpop population data and the maximal flood water extent ~1,400,000 people are potentially exposed or living close to flooded areas.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Jindires, Afrin District, Aleppo Governorate, Syria as of 11 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates the potentially damaged structures/buildings affected by the 06th of February 2023 earthquake in  Jindires in Afrin distric (Aleppo governorate), Syria as detected from a Pleiades very high-resolution satellite image acquired on 11 February 2023. Within the city of  Jindires, UNOSAT identified 228 damaged structures and 318 potentially damaged.   
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood Impact assessment of Cabuyao City and City of Calamba, Laguna Province, Region IV-A, Philippines as of 5 November 2022

**UNOSAT code TC20221028PHL, GDACS Id: 1000942**  This map illustrates satellite-detected surface waters in Cabuyao City and City of Calamba, Laguna Province, Region IV-A, Philippines as observed from a Kanopus-V image acquired 5 November 2022 at 11:12 local time. Within the analysis extent of about 2,200 hectares, approximately 120 hectares of land appear to be flooded. Based on Worldpop population data and the detected surface waters within the analysis extent, approximately 4,400 people are potentially exposed to or living close to flooded areas along with 256 structures and a port potentially affected by flooding.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Vanuatu

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249 https://sdd.spc.int/mapping-coastal

_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/coastal-population-dataset-vut)_

Tags: demographics, population
Organization: Pacific Community
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Nauru

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. 
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249
https://sdd.spc.int/mapping-coastal


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/coastal-population-dataset-nru)_

Tags: demographics, population
Organization: Pacific Community
Global Subnational Population - Humanitarian

Original site: https://fieldmaps.io/data/population

Population statistics using data from [WorldPop Unconstrained Individual Countries](https://hub.worldpop.org/geodata/listing?id=29) to create a complete global coverage population raster. Results are aggregated to [humanitarian edge-matched boundaries](https://data.humdata.org/dataset/global-edge-matched-subnational-boundaries-humanitarian), adjusted so that ADM0 totals match those of the 2024 projections in the [United Nations World Population Prospects](https://population.un.org/wpp/Download/Standard/CSV/).

Tags: baseline population, gazetteer
Organization: FieldMaps