AndreaBozzo/ceres-open-data-index huggingface dataset:
Niger - 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
Food Insecurity Mapping - West Africa (January - March 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**.

It was last updated on January 19, 2014. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* xx201401_ML1	Most likely food security outcome for January-March 2014
* xx201401_ML2	Most likely food security outcome for April-June 2014

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers)

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security
Organization: HDX
Damage Assessment in Aniwa Island - Tafea Province, Vanuatu

**UNOSAT code TC20230227VUT, GDACS Id: 1000965**  This map illustrates damaged and potentially damaged structures and buildings in Aniwa Island, Tafea Province of Vanuatu as detected using Pleiades satellite image acquired on 04 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 38 damaged and 67 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 extent in Sindh Province, Pakistan as of 31 August 2022

**UNOSAT code FL20220808PAK, GDACS Id: 1101522**  This map illustrates satellite-detected surface waters in Sindh Province, Pakistan as observed from a Sentinel-2 image acquired on 31 August 2022 at 10:56 local time. Within the analyzed area of about 25,000 km2, about 11,300 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 4.6 million 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 Shabelle Zone, Somali Region, Ethiopia as of 2 April 2023

**UNOSAT code FL20230327SOM**  This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region, Ethiopia as observed from a Sentinel-2 image acquired on 2 April 2023 at 07:38 UTC. Within the analyzed area of about 22,000 km², about 180 km² of land appear to be flooded. Water extent appears to have decreased by about 230 km² since 28 March 2023.  
  
Based on Worldpop population data and the detected surface waters in the analyzed area, 19,000 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 Bulo Burto City, Bulo Burto District, Hiraan Region of Somalia as of 3 June 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates satellite-detected surface waters over Bulo Burto City, Bulo Burto District, Hiraan Region of Somalia as observed from a Pleiades image acquired on 3 June 2023. Within the cloud free analysed area of 14 km², about 1 km² of land appear to be flooded. Water extent appears to have decreased by about 1 km² since 30 May 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 Waters Evolution over Khersonska, Dnipropetrovska, Mykolaivska,Odeska and Zaporizka Oblasts in Ukraine  as of 15 July 2023

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected water using Sentinel-2 image acquired on the 15th of July 2023 and compared with the water extent between the 03rd and the 05th of July 2023 after the Nova Kakhovka dam wall break of the 06th of June 2023. Within the analysed area of 25,000 km², surface waters appear to have receded by about 100 km² in cloud free zone since the 5th of July 2023. No major changes observed in water level of the cooling pond of the Zaporizhia nuclear power plant  as of 15 July 2023 compared to 5 July 2023.   
  
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 extent over Ringerike Municipality, Viken County, Norway as of 12 August 2023

**UNOSAT code FL20230811NOR**  This map illustrates satellite-detected water extent as observed from a Pléiades imagery acquired on the 12 August 2023 at 13:31 local time.Within the analysed area of about 16,000 ha, a total of about 255 ha of lands appear to be affected with flood waters.  
  
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 Chichaoua, Marrakech-Safi Region, Morocco as of 10 September 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643**  This map illustrates potentially damaged structures/buildings by the M6.8 Chichaoua earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 271 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, morocco-earthquake
Organization: United Nations Satellite Centre (UNOSAT)
Power Supply Assessment Following the Adassil/Al Haouz Earthquake (8 September 2023, M6.8) using High-resolution Night-time Light Images​ - 18 September 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643**  Status: Power outage observed.  
Further action(s): continue monitoring  
No significant power outage observed in Marrakech (70 km NE mainshock epicentre), Taroudant (150 km SW Marrakech) and Chichaoua (75 km SW Marrakech).  
By 17 September, power supply in Tameslouht (20 km SW Marrakech) has recovered to the level observed before the earthquake of 08 September 2023.  
On 14 September, Southeast of Amizmiz likely to have power outage. By 17 September, power supply in Amizmiz (50 km SW Marrakech) was still  in recovery phase but not yet at the before earthquake level.  
On 14 September, no evidences of power outage is observed in rural areas such as Ait Iaaza (60 km SW mainshock epicentre) and Sidi Zouine (60 km NE mainshock epicentre).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Floods in Somalia, November 2023

**UNOSAT code FL20231105SOM**  This application provides geospatial information on ongoing satellite based-assessment related to the ongoing floods in Somalia that started in 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Jowhar City, Jowhar District, Middle Shabelle Region, Somalia as of 22 November 2023

**UNOSAT code: FL20231105SOM**  This map illustrates satellite-detected surface waters in Jowhar City, Jowhar District, Middle Shabelle Region, Somalia as observed from a Radarsat RCM-3 image acquired on 11 and 22 November 2023 and ad Worldview-2 image acquired on the 22 November 2023. Within the analysed area of 148 km2 about 31 km2 of land appears to be flooded. The water seems to have increased about 11 km2 since the 11 Nov. 2023.  
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 extent in Bu'aale City, Bu'aale District, Middle Juba Region, Somalia, 22 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 Worldview-3 image acquired on 22 November 2023 at 07:35 UTC. Within the analysed area of about 1,000 hectares about 800 hectares of land appear to be flooded. Compared to the situation on 13 November, the flood-affected area in the analysed extent increased about 20 hectares and the number of flood-affected buildings increased about 330.  
  
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 and Juba Dhexe Region, Somalia, 3 December 2023

**UNOSAT code: FL20231105SOM**  This map illustrates satellite-detected surface waters in Juba Hoose and Juba Dhexe Region, Somalia as observed from a Sentinel-2 image acquired on 3 December 2023 at 07:39 UTC. Within the analysed area of about 20,000 km2 about 1,300 km2 of land appears 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)
Nauru - 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
Somalia - 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
Kenya - Socio-economic impact of COVID-19 on refugees - Round 5, 2021

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.

Tags: covid-19, economics, food security, health, livelihoods, population, refugees, survey
Organization: UNHCR - The UN Refugee Agency
Satellite detected water extent over Lumbini and Sudurpaschim Provinces, Nepal as of 25 & 30 October 2022

**UNOSAT code FL20221117NPL**  This map illustrates satellite-detected surface waters in Sudurpaschim and Lumbini Provinces, Nepal as observed from Sentinel-2 images acquired on 25 & 30 October 2022 (Cumulative). Within the analyzed area of about 5,600 km², a combined 52 km² of lands appear to be flooded on the 25th and the 30th of October 2022. Water extent appears to have decreased of about 37 km² since the 15th October 2022. Based on Worldpop population data and the detected surface waters, about 23,000 people are potentially exposed or living close to flooded areas, of which 10,000 are located In Janaki, Tikapur, Geruwa, Rajapur, Thakurbaba & Madhuwan Palikas.  
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 between 10 and 14 November 2022 over South Sudan

**UNOSAT code FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 November 2022 compared with the period from 26 to 30 October 2022. Within the cloud free analyzed areas of about 625,000 km², a total of about 41,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 10,000 km² since the period between 26 to 30 October 2022. Based on Worldpop population data and the maximal flood water extent ~745,000 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)
Preliminary Satellite Derived Flood Evolution Assessment, Islamic Republic of Pakistan-9 Sep. 2022

**UNOSAT code FL20220808PAK, GDACS Id: 1101522**  Status: Increasing and receding flood waters observed  
Further action(s): continue monitoring  
  
Summary of findings;  
  
Evolution of Cumulative Flood Impact Assessment (25 - 31 August Vs 01-07 September 2022):  
  
From 01 to 07 September 2022 approximately 22 million people remain potentially exposed or living close to flooded areas  
  
Based on satellite data from  25 - 31 August and 01-07 September, flood waters appear to be receding in many parts of the country, however, many districts in the southern province of Sindh still appear to be heavily affected by flooding and increasing flood waters.  
  
Floods assessment in Sindh Province  
  
Large floods were observed all along the Indus river;  
Guddu Barrage seem to be intact as of 1 Sep. 2022  
Inundated villages and inundated agricultural areas   
were observed along Indus river as of 5 Sep. 2022;  
The increasing floodwater along Indus river in Khairpur, Jamshoro, Shaheed Benazir Abad, Thatta and Sujawal districts observed as of 5 Sep. 2022;

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Republic of North Macedonia - 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