Sierra Leone

Key Figures
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • Updated 30 December 2021 | Dataset date: August 01, 2022-August 01, 2022
    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: beds tourism addr:housenumber source name amenity man_made rooms addr:street shop addr:full opening_hours addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated 30 December 2021 | Dataset date: August 01, 2022-August 01, 2022
    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: depth name natural covered blockage water tunnel width source layer waterway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 30 December 2021 | Dataset date: August 01, 2022-August 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: building:levels addr:housenumber source name addr:street office addr:full building addr:city building:materials This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated 30 December 2021 | Dataset date: August 01, 2022-August 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: highway surface name smoothness lanes width source layer oneway bridge This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-October 06, 2022
    This dataset updates: As needed
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Sierra Leone Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-26xs-7532 . Accessed DAY MONTH YEAR.
  • 21000+ Downloads
    Updated 15 December 2021 | Dataset date: October 13, 2021-October 13, 2021
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
  • 100+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This dataset updates: Every year
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • Updated Live | Dataset date: January 01, 2019-October 06, 2022
    This dataset updates: Live
    Live list of active aid activities for Sierra Leone shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • 1400+ Downloads
    Updated 9 November 2021 | Dataset date: January 01, 1999-December 31, 2021
    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 2021. 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 Administrative boundaries are provided by OCHA https://data.humdata.org/dataset/west-and-central-africa-administrative-boundaries-levels Productions et anomalies annuelles de biomasse en Afrique de l'Ouest de 1999 à 2021 : 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 2021. 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 Les limites administratives sont fournies par OCHA https://data.humdata.org/dataset/west-and-central-africa-administrative-boundaries-levels
  • 600+ Downloads
    Updated 13 October 2021 | Dataset date: April 16, 2014-April 16, 2014
    This dataset updates: Every year
    This data is made available from the WHO - Global Health Observatory. Data on new probable and confirmed cases by epi week and district. There is a file for each country Liberia, Sierra Leone, and Guinea. All the data from the countries can be found at: http://apps.who.int/gho/data/node.ebola-sitrep.ebola-country?lang=en There are 2 values for each district. One is from the Ministry of Health SitRep. The other is from the patient database maintained in country. There is latency in getting the patient database is updated therefore the numbers are lower in the latest weeks.
  • 1200+ Downloads
    Updated 27 September 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: Every two weeks
    Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.
  • 400+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 400+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 400+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 400+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 500+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 300+ Downloads
    Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    This dataset updates: As needed
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 13000+ Downloads
    Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    This dataset updates: Never
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 1200+ Downloads
    Updated 4 August 2021 | Dataset date: January 01, 1970-December 31, 2019
    This dataset updates: Every three months
    Education indicators for Sierra Leone. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)
  • 600+ Downloads
    Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    Food Security Indicators for Sierra Leone. Contains data from the FAOSTAT bulk data service.
  • 500+ Downloads
    Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030
    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'.
  • 300+ Downloads
    Updated 15 April 2021 | Dataset date: March 01, 2020-December 31, 2020
    This dataset updates: Every three months
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • 70+ Downloads
    Updated 6 April 2021 | Dataset date: May 05, 2020-May 05, 2020
    This dataset updates: Never
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards
  • 300+ Downloads
    Updated 4 March 2021 | Dataset date: November 20, 2020-November 20, 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 600+ Downloads
    Updated 20 January 2021 | Dataset date: May 17, 2020-October 06, 2022
    This dataset updates: As needed
    Figures about the evolution of Covid19 in African countries, new infected, recovered and deceased per day and cumulative cases of infected, recovered and deceased.