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  • 30+ Downloads
    Updated July 1, 2020 | Dataset date: Aug 1, 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: healthcare healthcare:speciality source operator:type addr:city amenity capacity:persons addr:full name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated July 1, 2020 | Dataset date: Aug 1, 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: tourism man_made opening_hours beds addr:street source addr:city amenity rooms addr:housenumber shop addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated July 1, 2020 | Dataset date: Aug 1, 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: source operator:type addr:city amenity capacity:persons addr:full name building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated June 29, 2020 | Dataset date: Dec 15, 2017
    This dataset updates: Every three months
    Ce jeu de données est le produit intérieur brut par branche d'activité au Sénégal de 2014 à 2019.
  • 300+ Downloads
    Updated June 29, 2020 | Dataset date: Jan 1, 2015-Sep 30, 2019
    This dataset updates: Every three months
    Ce jeu de données est relatif aux indicateurs sur le marché du travail au Sénégal
  • Updated June 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing methods and time periods are still available for download here: Individual countries and Whole continent. 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
  • Updated June 29, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Senegal 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00448
  • Updated June 29, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Senegal 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00340
  • 100+ Downloads
    Updated June 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data and methods can be found in Tatem et al, a description of the modelling methods used found in Stevens et al, and access to modelling code here. 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). Individual countries 2000-2020: Consistent 100m resolution population count datasets created using "top-down" methods for all countries of the World for each year 2000-2020. Individual countries 2000-2020 UN adjusted: Adjusted to match official United Nations population estimates (UN 2019). Global mosaics 2000-2020: Mosaiced 1km resolution versions of the "Individual countries 2000-2020" datasets. Bespoke methods for individual countries (WOPR): Bespoke 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. 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 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
  • 100+ Downloads
    Updated June 24, 2020 | Dataset date: Jun 24, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 100+ Downloads
    Updated May 30, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2019
    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.
  • 100+ Downloads
    Updated Live | Dataset date: Aug 10, 2020
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 5400+ Downloads
    Updated May 26, 2020 | Dataset date: Sep 26, 2017
    This dataset updates: As needed
    West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations. West and Central Africa settlements with administrative capitals
  • 1000+ Downloads
    Updated May 1, 2020 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every three months
    Education indicators for Senegal. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: Students and Teachers (made 2020 February), Education Expenditure and Funding (made 2020 February), School Resources and Teaching Conditions in Africa (made 2020 February), SDG 4 Global and Thematic (made 2020 February), Demographic and Socio-economic (made 2020 February)
  • 40+ Downloads
    Updated April 29, 2020 | Dataset date: Jan 1, 1990-Dec 31, 2017
    This dataset updates: Every year
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
  • 60+ Downloads
    Updated April 28, 2020 | Dataset date: Feb 1, 2020-Apr 1, 2020
    This dataset updates: Never
    These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during February and March 2020.
  • Updated Live | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Senegal. Source: http://ngoaidmap.org/location/gn_2245662
  • 9100+ Downloads
    Updated Live | Dataset date: Jan 18, 2020-Aug 11, 2020
    This dataset updates: Live
    'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
  • 600+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 1986-Dec 31, 2017
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Senegal - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • 700+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 1986-Dec 31, 2017
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Senegal - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • 300+ Downloads
    Updated March 19, 2020 | Dataset date: Jan 1, 1998
    This dataset updates: Every year
    Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator
  • 1800+ Downloads
    Updated March 18, 2020 | Dataset date: Mar 18, 2020
    This dataset updates: Every year
    Senegal administrative level 0 (country), 1 (région), 2 (département), 3 (arrondissement) and 4 (collectivité locale, commune) 2020 projected population statistics
  • 70+ Downloads
    Updated March 10, 2020 | Dataset date: Dec 1, 2019-Jan 31, 2020
    This dataset updates: Every three months
    These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during December and January 2020.
  • 600+ Downloads
    Updated March 10, 2020 | Dataset date: Dec 5, 2016
    This dataset updates: Every year
    Global Humanitarian Overview 2017 Figures
  • 200+ Downloads
    Updated February 20, 2020 | Dataset date: Jul 25, 2019
    This dataset updates: As needed
    This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format. This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.