{"geometry": {"type": "MultiPolygon", "coordinates": [[[[-8.66667, 27.66666], [-8.66679, 27.29046], [-8.66694, 26.00028], [-12.00056, 26.0], [-12.00028, 23.45444], [-12.99833, 23.02472], [-13.08, 22.52027], [-12.99972, 21.33806], [-15.00528, 21.33639], [-16.95375, 21.33667], [-17.05233, 20.76409], [-16.95695, 21.83333], [-16.49813, 22.32534], [-15.77945, 23.90944], [-14.9009, 24.68965], [-14.79097, 25.43125], [-14.48333, 26.16333], [-13.54847, 26.76416], [-13.17496, 27.66696], [-10.29974, 27.66657], [-8.66667, 27.66666]]]]}, "type": "Feature", "properties": {"url": "/group/esh", "name": ""}, "id": "ESH"}
34
-
Time Period of the Dataset [?]: January 01, 1970-December 31, 2023
... More
Modificado [?]: 16 de agosto de 2024
Dataset Added on HDX [?]: 3 de abril de 2020
This dataset updates: Every three months
Education indicators for Western Sahara.
Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic (made 2024 February)
-
Time Period of the Dataset [?]: January 01, 2014-December 31, 2023
... More
Modificado [?]: 18 de junio de 2024
Dataset Added on HDX [?]: 30 de julio de 2020
This dataset updates: Every six months
Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
-
1600+ Downloads
Time Period of the Dataset [?]: January 01, 1999-December 31, 2023
... More
Modificado [?]: 6 de mayo de 2024
Confirmed [?]: 8 de julio de 2024
Dataset Added on HDX [?]: 7 de septiembre de 2018
This dataset updates: Every year
Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator
The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA.
These data are freely accessible for humanitarian or research purposes. Any commercial exploitation of this data is prohibited. No compensation can be demanded in exchange for the dissemination of this data.
Anomaly file values:
[0; 200]: Anomaly expressed as a % of the average (1999-today)
-9999: No data
-9998: Biomass always zero
-9997: Season not started yet
-9996: Biomass too low
-9995: Outside area of interest
Biomass file values:
[0 ; +inf[: Yearly biomass production (kg/ha)
-9999: No data
-9995: Outside area of interest
For more information, please visit:
www.sigsahel.info
Productions annuelles de biomasse et anomalies en Afrique de l'Ouest de 1999 à 2023 : version raster
Production annuelle de biomasse et anomalies extraites du DMP et calculées par BioGenerator
Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Le produit est basé sur les données de PROBA-V (©) et SPOT-VEGETATION (©) ESA.
Ces données sont accessibles librement à des fins humanitaires ou de recherche. Toute exploitation commerciale de ces données est interdite. Aucune compensation ne peut être exigée en échange de la diffusion de ces données.
Valeurs des fichiers d'anomalies :
[0 ; 200] : Anomalie exprimée en % de la moyenne (1999-aujourd'hui)
-9999 : Aucune donnée
-9998 : Biomasse toujours nulle
-9997 : Saison pas encore commencée
-9996 : Biomasse trop faible
-9995 : Hors zone d'intérêt
Valeurs des fichiers de biomasse :
[0 ; +inf[ : Production annuelle de biomasse (kg/ha)
-9999 : Aucune donnée
-9995 : En dehors de la zone d'intérêt
Pour plus d'informations, veuillez visiter :
www.sigsahel.info
-
Time Period of the Dataset [?]: August 18, 2015-March 06, 2024
... More
Modificado [?]: 12 de abril de 2024
Dataset Added on HDX [?]: 12 de abril de 2024
This dataset updates: Every year
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
- macroregion (admin-1 including region)
- region (admin-2 including state, province, department, governorate)
- macrocounty (admin-3 including arrondissement)
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)
The dataset also contains human settlement points and polygons for:
- localities (city, town, and village)
- neighbourhoods (borough, macrohood, neighbourhood, microhood)
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.
Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a
Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
-
Time Period of the Dataset [?]: September 27, 2023-March 25, 2024
... More
Modificado [?]: 25 de marzo de 2024
Dataset Added on HDX [?]: 14 de diciembre de 2023
This dataset updates: Every day
Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Western Sahara in the last 180 days.
Internally displaced persons are defined according to the 1998 Guiding Principles (
https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at
https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
-
2600+ Downloads
Time Period of the Dataset [?]: January 01, 1999-December 31, 2023
... More
Modificado [?]: 22 de enero de 2024
Confirmed [?]: 8 de julio de 2024
Dataset Added on HDX [?]: 24 de noviembre de 2020
This dataset updates: Every year
Total Biomass Production (tonnes of dry matter) for Admin 0, Admin 1 and Admin 2 Levels for years from 1999 to 2023.
Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator
The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA.
These data are freely accessible for humanitarian or research purposes. Any commercial exploitation of this data is prohibited. No compensation can be demanded in exchange for the dissemination of this data.
Administrative boundaries are provided by OCHA
https://data.humdata.org/dataset/west-and-central-africa-administrative-boundaries-levels
For more information, please visit:
www.sigsahel.info
Productions et anomalies annuelles de biomasse en Afrique de l'Ouest de 1999 à 2023 : version vectorielle
Production totale de biomasse (tonnes de matière sèche) pour les niveaux Admin 0, Admin 1 et Admin 2 pour les années 1999 à 2022.
Production annuelle de biomasse et anomalies extraites du DMP et calculées par BioGenerator
Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Le produit est basé sur les données de PROBA-V (©) et SPOT-VEGETATION (©) ESA.
Ces données sont accessibles librement à des fins humanitaires ou de recherche. Toute exploitation commerciale de ces données est interdite. Aucune compensation ne peut être exigée en échange de la diffusion de ces données.
Les limites administratives sont fournies par OCHA
https://data.humdata.org/dataset/west-and-central-africa-administrative-boundaries-levels
Pour plus d'informations, veuillez visiter :
www.sigsahel.info
-
Time Period of the Dataset [?]: December 31, 2023-December 31, 2023
... More
Modificado [?]: 31 de diciembre de 2023
Dataset Added on HDX [?]: 1 de noviembre de 2023
This dataset updates: Every day
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
-
Time Period of the Dataset [?]: July 10, 2023-November 01, 2023
... More
Modificado [?]: 31 de octubre de 2023
Dataset Added on HDX [?]: 20 de abril de 2023
This dataset updates: As needed
Western Sahara population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand (LINZ Data Service) NZ Building Outlines and OpenStreetMap data.
Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
-
50+ Downloads
Time Period of the Dataset [?]: January 01, 2023-June 30, 2023
... More
Modificado [?]: 29 de septiembre de 2023
Dataset Added on HDX [?]: 25 de septiembre de 2023
This dataset updates: Every year
Education main challenges in the region
Adding to the situations faced in the Central Sahel and Lake Chad Basin, the exacerbation of conflict in the East of DRC this quarter prompted an L3 emergency declaration there, and both Chad and CAR are further and increasingly impacted by the spillover of the Sudan crisis since April.
The Central Sahel crisis continues to deteriorate. In Burkina Faso alone, 23.48 % of schools are now closed due to Insecurity, and the number of refugees requiring education assistance in the coastal countries (Ghana, Côte d'Ivoire, Togo, Benin) has reached approximately 19,686 (54% of total refugees).
While resource mobilization for EiE is underway, the funding gap remains a major challenge for the response (only 10% of the funding required has been provided in cluster countries, up from 5% in the first quarter).
-
20+ Downloads
Time Period of the Dataset [?]: July 10, 2023-July 10, 2023
... More
Modificado [?]: 10 de julio de 2023
Dataset Added on HDX [?]: 10 de julio de 2023
This dataset updates: As needed
Western Sahara administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
The borders of the Western Sahara are disputed.
-
Time Period of the Dataset [?]: January 01, 2021-December 31, 2021
... More
Modificado [?]: 17 de abril de 2023
Dataset Added on HDX [?]: 30 de mayo de 2022
This dataset updates: Every year
Internally displaced persons are defined according to the 1998 Guiding Principles (
http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
"New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
Contains data from IDMC's Global Internal Displacement Database.
-
Time Period of the Dataset [?]: April 08, 2021-August 23, 2024
... More
Modificado [?]: 4 de abril de 2023
Dataset Added on HDX [?]: 30 de marzo de 2017
This dataset updates: Every year
Western Sahara administrative level 0-1 boundaries
-
Time Period of the Dataset [?]: January 01, 2019-August 23, 2024
... More
Modificado [?]: 10 de noviembre de 2021
Dataset Added on HDX [?]: 14 de febrero de 2019
This dataset updates: Live
-
Time Period of the Dataset [?]: October 13, 2020-October 13, 2020
... More
Modificado [?]: 13 de octubre de 2020
Dataset Added on HDX [?]: 21 de enero de 2019
This dataset updates: Every day
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
-
50+ Downloads
Time Period of the Dataset [?]: January 01, 2000-December 31, 2020
... More
Modificado [?]: 12 de septiembre de 2020
Dataset Added on HDX [?]: 20 de julio de 2017
This dataset updates: As needed
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
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/WP00645
-
40+ Downloads
Time Period of the Dataset [?]: January 01, 2000-December 31, 2020
... More
Modificado [?]: 22 de junio de 2020
Dataset Added on HDX [?]: 23 de noviembre de 2020
This dataset updates: As needed
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
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/WP00674
-
10+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','station')
Features may have these attributes:
railway
addr:full
operator:type
layer
name
source
ele
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office')
Features may have these attributes:
addr:full
network
amenity
name
source
addr:city
operator
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
30+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
place
population
name
source
is_in
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy')
Features may have these attributes:
addr:full
healthcare
operator:type
amenity
name
source
healthcare:speciality
capacity:persons
addr:city
building
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
10+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university')
Features may have these attributes:
addr:full
operator:type
amenity
name
source
capacity:persons
addr:city
building
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL
Features may have these attributes:
addr:full
operator:type
amenity
name
source
addr:city
port
building
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
10+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site'
Features may have these attributes:
addr:full
operator:type
name
source
capacity:persons
aeroway
addr:city
emergency:helipad
emergency
building
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
10+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
addr:housenumber
tourism
addr:full
man_made
amenity
addr:street
name
source
rooms
shop
beds
addr:city
opening_hours
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
30+ Downloads
Time Period of the Dataset [?]: April 02, 2023-April 02, 2023
... More
Modificado [?]: 13 de mayo de 2020
Dataset Added on HDX [?]: 13 de mayo de 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
water
blockage
covered
name
layer
waterway
source
width
natural
tunnel
depth
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.