AndreaBozzo/ceres-open-data-index huggingface dataset:
Panama - 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
Damage Assessment in Al Bab, Qabasin and Bza'a towns, Syria as of 11 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in  Al Bab and surrounding areas of Qabasin and Bza'a in Aleppo governorate as detected from a Pleiades very high-resolution satellite image acquired on 11 February 2023. Within the analyzed area, UNOSAT identified 37 damaged structures and 168 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).Centre (UNOSAT).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
INFORM SUB NATIONAL for Eastern Africa

INFORM SUB NATIONAL data for Eastern Africa Region.
It contains the Hazards/Exposures, Vulnerbilities and Lack of Coping Capacity of the Greater Horn of Africa Region and the Overal Rick Index. The scale is from 0 - 10

Tags: development, gender and age disaggregated data-gadd, hazards and risk, population
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Índice INFORM NNA - Colombia

INFORM niños, niñas y adolescentes es un índice de gestión del riesgo con el objetivo de mitigar riesgos. Para tratar el tema del índice INFORM de niñas, niños y adolecentes al igual que INFORM general se trabajará con las tres dimensiones – amenazas específicas de NNA, vulnerabilidad y falta de capacidad de respuesta-. La metodología está enfocada en utilizar información desagregada de NNA dentro de los cuales se encuentra sismos, deslizamientos, inundación, volcán, homicidios, exámenes médicos por presunto delito sexual, desaparecidos, violencia interpersonal, secuestros, expulsión, recepción, exámenes médicos por presunto delito sexual, violencia interpersonal, mortalidad por enfermedad respiratoria aguda, mortalidad por enfermedad diarreica aguda, mortalidad materna, alfabetismo y niños en ruta de restablecimiento de derechos.

Tags: gender and age disaggregated data-gadd
Organization: OCHA Colombia
Satellite-detected water extents  in Manakara Atsimo District, Vatovavy Fitovinany Region, Madagascar as of 23 February 2023

**UNOSAT code TC20230221MDG, GDACS Id: 1000961**  This map illustrates satellite-detected water in Manakara Atsimo District, Vatovavy Fitovinany Region, Madagascar from a TerraSAR-X imagery acquired on 23 February 2023 at 15:15 local time.  
  
Within the analyzed area of about 530 km2, about 16 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 87,000 people live within the analysed area while 4,100 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: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected landslides / mudslides over Kibingo, Congonil, Kagana and Ghanga Villages, Rutsiro District, Western Province, Rwanda  as of 7 May 2023

**UNOSAT code FL20230504RWA, GDACS Id: 1101977**  This map illustrates satellite-detected landslides / mudslides around Kibingo, Congonil, Kagana and Ghanga Villages in Rutsiro District (Western Province, Rwanda) as observed/detected from a Sentinel-2 satellite imagery acquired on 07 May 2023 at 08:30 local time.   
Within the analysed area, about 2,5 km2 of landslides scars are observed. Some of past landslides seem to have been reactivated during these flooding/landslides event.   
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 extents between 25 and 29 March 2023 over South Sudan

**UNOSAT code FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 25 to 29 March 2023 compared with the period from 01 to 05 March 2023. Within the cloud free analyzed areas of about 625,000 km², a total of about 17,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 13,000 km² since the period between 01 to 05 March 2023. Based on Worldpop population data and the maximal flood water extent ~285,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water  extents over Sofala, Tete, and Zambezia Provinces, Mozambique as of 21 March 2023

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates satellite-detected water using Sentinel-2 acquired on 21 March 2023, 09:55 local time over the intersection between Shire river and Zambezi rivers in Sofala, Tete and Zambezia Provinces of Mozambique. Within the cloud free analyzed areas of about 20,000 km², a total of about 2,400 km² of lands appear to be affected with flood waters. Based on Worldpop population data and flood water extent, ~180,000 people are potentially exposed or living close to flooded areas mainly located in Mutarara district, Tete province with ~62,000 people,  Caia district, Sofala province with ~38,200 people and Mopeia district, Zambezia province with ~34,000 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)
Damage Assessment in Luganville and South East Santo Councils, Espiritu Santo Island - Sanma Province

**UNOSAT code TC20230227VUT, GDACS Id: 1000965**  This map illustrates damaged and potentially damaged structures and buildings in Luganville and South East Santo Councils of Vanuatu as detected using Pleiades satellite images acquired on 04 & 06 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 46 damaged and/or potentially damaged structures.  
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)
Satellite detected water extents between 07 and 11 February 2023 in Zambia

**UNOSAT code FL20230131ZMB**  This map illustrates cumulative satellite-detected water using VIIRS in Zambia between 07 to 11 February 2023. Within the cloud free analysed areas of about 653,000 km² and based on Worldpop spatial demographic data and the maximum flood water extent, about 400,000 people out of 19 million are potentially exposed or living close to maximum floodwaters 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)
Damage Assessment in the northern part of Jableh City (Latakia) as of 9 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in the northern parts of Jableh, (Latakia Governorate) in Syria  as detected by using a Pleiades very high resolution satellite image acquired on 9 February 2023. Within analyzed area, UNOSAT identified 43 damaged/potentially damaged structures.  
  
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)
Satellite detected water extents over Khongxedone District, Saravan Province & Sanasomboon District, Champasak Province, LAO PDR as of 1 October 2022

**UNOSAT code TC20220928LAO, GDACS Id: 1000922**  This map illustrates satellite-detected surface waters in Khongxedone District, Saravan Province & Sanasomboon, Champasak Province, Lao PDR as observed from a Sentinel-1 image acquired on 1 October 2022 at 05:45 local time. Within the extent of this map of 600 km2, about 14 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 1,800 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).  
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 13 and 17 October 2022 over Nigeria

**UNOSAT code FL20221019NGA**  This map illustrates cumulative satellite-detected water using VIIRS in Nigeria between 13 to 17 October 2022 compared with the period from 08 to 12 October 2022. Within the cloud free analysed areas of about 890,000 km², a total of about 30,000 km² of land appears to be affected. In the analysed areas, 738 health facilities and 1,424 schools are identified to be within or close to a flooded zone. In comparison with the period between 08 to 12 October 2022, water extent appears to have decreased of about 1,000 km². Based on Worldpop population data and the maximal flood water extent ~6,660,000 people are potentially exposed or living close to flooded areas amongst the 204 million people living in the analysed zone.  
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)
Somalia: Integrated Context Analysis (ICA), 2018


    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.

The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
    

Tags: geodata, hazards and risk
Organization: WFP - World Food Programme
Satellite detected water extent in Garissa City, Dujis County, Garissa Province, Kenya as of 26 November 2023

**UNOSAT code: FL20231124KEN**  This map illustrates satellite-detected water extent in Garissa City, Dujis County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time. Within analysed area of about 220 km², a total of about 45 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 6,500 buildings are identified as affected by the floods.  
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)
Syrian Arab Republic: Integrated Context Analysis (ICA), 2020


    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.

The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
    

Tags: geodata, hazards and risk
Organization: WFP - World Food Programme
Satellite detected water extent in Jilib City, Jilib District, Middle Juba Region, Somalia, 15 November 2023

**UNOSAT code FL20231105SOM**  This map illustrates satellite-detected surface waters in Jilib City, Jilib District, Middle Juba Region, Somalia as observed from a Pleiades image acquired on 14 and 15 November 2023. Within the analysed area of about 215 km2 about 123 km2 of land appears to be flooded. Furthermore, within the analysed area about 2,800 buildings are identified as potentially affected by the floods.   
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)
Niger: Integrated Context Analysis (ICA), 2018


    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.

The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
    

Tags: geodata, hazards and risk
Organization: WFP - World Food Programme
Satellite detected water extent in Gedo & Juba Dhexe Region, Somalia as of 07 November 2023

**UNOSAT code FL20231105SOM**  This map illustrates satellite-detected surface waters in Baardheere District, Gedo Region and Saakow District, Juba Dhexe Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the map extent of about 4,900 km², about 50 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)
M 5.7M Jajarkot Earthquakes, Nepal of 3 November 2023

**UNOSAT code EQ20231104NPL, GDACS Id: 1398938**  This application provides geospatial information on ongoing satellite based-assessment related with the 5.7 magnitude earthquakes in Nepal of the 03rd of November 2023.  
  
Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre -UNOSAT is not responsible for the misuse or misrepresentation of the map.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Zones incendiées le 27 juillet 2023 dans les communes de Melbou et Ziama Mansouria, Wilayas de Bejaia et Jijel, Algérie

**UNOSAT code FR20230724DZA, GDACS Id: 1015944**  Cette carte illustre les zones incendiées telles qu'observées à partir d'une image Pléiades acquise le 27 juillet 2023 à 11:21 heure locale dans les communes de Melbou et Mansouria.  
Sur les 70 km² de la zone observée, environ 15km² et 8m² de végétation semblent avoir brûlé dans les communes de Melbou et Ziama Mansouria.  
En se basant sur les données démographiques Worldpop, dans les communes de Melbou et Ziama Mansouria respectivement environ 2,600 et 5,000 personnes sont potentiellement impactées par les feux de forêt.  
Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage analysis by settlement and surface displacement of the 7th October 2023 Hirat earthquake

**UNOSAT code EQ20231008AFG, GDACS Id: 1394952**  This map illustrates the level of damage induced by the 07 October earthquake (M6.3) in settlements North and North-West Herat as observed from very high-resolution images Pléiades acquired on 09 October 2023. UNOSAT has analysed 4 areas for a total of 750km² and detected 56 affected settlements, amongst which 38 are moderately affected, 3 severely affected and 15 are almost destroyed. The map illustrates also the coseismic surface displacement interferogram related with the 7 October 2023 earthquake as deduced using a pair of SAR images acquired on 07 Oct. 2023 and 25 Sep. 2023. Narrow fringes translate a higher surface displacement.  
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)
France - 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