Nigeria

Data Grid Completeness
80% 
16/20 Core Data 20 Datasets 14 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
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Affected People
4 Datasets
100% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
UNHCR - The UN Refugee Agency
Returnees
International Organization for Migration (IOM)
Humanitarian Needs
Coordination & Context
5 Datasets
40%  40%  19% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Climatic Hazards
Food Security & Nutrition
3 Datasets
100% 
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
75%  25% 
Administrative Divisions
Roads
WFP - World Food Programme
Airports
Health & Education
2 Datasets
100% 
Health Facilities
Education Facilities
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 20+ Downloads
    Updated 16 December 2021 | Dataset date: November 17, 2021-June 26, 2022
    This dataset updates: As needed
    This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100 m grid cells) with national coverage for Nigeria, along with estimates of the number of people belonging to various age-sex groups. Version 2.0 is an update to the previous version 1.2 gridded population estimates and is based on more recent and detailed settlement information and a different regional boundary definition. These model-based population estimates most likely represent the time period around 2019, corresponding to the period when the satellite imagery was processed to generate building footprints. Populations are mapped only into areas where residential settlements are predicted. These data were produced by the WorldPop Research Group at the University of Southampton in collaboration with the National Population Commission of Nigeria. This work was part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3 ) programme with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network (CIESIN), a center within the Columbia Climate School at Columbia University, and the Flowminder Foundation. Statistical modelling was led by Chris Jochem and Doug Leasure additional support and oversight from Attila Lazar and Andy Tatem. Chris Lloyd provided the residential building classification. The microcensus data were originally collected by eHealth Africa and Oak Ridge National Laboratory with support from the Bill and Melinda Gates Foundation. The WorldPop grou and GRID3 partners are acknowledged for their project support. RELEASE CONTENT NGA_population_v2_0_gridded.zip NGA_population_v2_0_admin.zip NGA_population_v2_0_sql.sql NGA_population_v2_0_mastergrid.tif NGA_population_v2_0_tiles.zip NGA_population_v2_0_agesex.zip LICENSE These data (1-6) may be redistributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) License. Recommended citations WorldPop and National Population Commission of Nigeria. 2021. Bottom-up gridded population estimates for Nigeria, version 2.0. WorldPop, University of Southampton. doi: 10.5258/SOTON/WP00729. For further details, please, read NGA_population_v2_0_README.pdf
  • 18000+ 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.
  • 200+ 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).
  • 10+ Downloads
    Updated Live | Dataset date: January 01, 2019-June 26, 2022
    This dataset updates: Live
    Live list of active aid activities for Nigeria 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
  • 80+ Downloads
    Updated 24 November 2021 | Dataset date: November 01, 2021-June 26, 2022
    This dataset updates: Every year
    Designated institutions to provide learning spaces and learning environments for the teaching of students. This data has been extracted from GRID3 Nigeria site
  • 17000+ Downloads
    Updated 23 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nigeria: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 30+ Downloads
    Updated 22 November 2021 | Dataset date: October 31, 2021-October 31, 2021
    This dataset updates: Every three months
    This data is the Regional 3W for West and Central Africa.
  • 300+ Downloads
    Updated 17 November 2021 | Dataset date: September 11, 2020-September 11, 2020
    This dataset updates: Every year
    Administrative level 3 boundaries for selected Sahel countries edge-matched and derived from respective COD-AB datasets. P-codes match source datasets.
  • 200+ Downloads
    Updated 15 November 2021 | Dataset date: June 01, 2021-December 31, 2021
    This dataset updates: Every year
    In the humanitarian context / humanitarian profiling, it demonstrates a strong evidence base, positive impact on resource allocation, and forms the basis and reference point of any relief operation aiming to deliver aid according to the population’s needs. This data gives the total size of population for Borno, Adamawa, and Yobe states (BAY) and disaggregated by sex and age (SADD) for each population category. The population category is grouped into: • Internally displaced people (IDP) • Returnees • Host community • Inaccessible areas
  • 90+ Downloads
    Updated 15 November 2021 | Dataset date: September 01, 2021-September 30, 2021
    This dataset updates: As needed
    who-is-doing-what-and-where
  • 1100+ 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
  • 30+ Downloads
    Updated 7 November 2021 | Dataset date: June 01, 2020-July 16, 2020
    This dataset updates: Never
    Further the emergence of COVID-19 and the perceived socioeconomic hardship imposed by the measures put in place to curtail the spread of the virus, the United High Commissioner for Refugees (UNHCR) in conjunction with several partners in Nigeria carried out a study to understand the socioeconomic impact of COVID-19 among Persons of Concern to UNHCR including refugees, internally displaced persons, returnees, asylum-seekers, stateless persons and community members hosting displaced populations. The study examines several dimensions including the impact of the pandemic on economic, social, cultural, civil, and political rights.
  • 100+ Downloads
    Updated 5 November 2021 | Dataset date: January 05, 2021-June 06, 2021
    This dataset updates: Every year
    Nigeria IOM DTM dataset on returnees
  • 2800+ Downloads
    Updated 27 October 2021 | Dataset date: January 01, 2016-September 30, 2021
    This dataset updates: As needed
    This dataset includes the latest available information on COVID-19 developments impacting the security of aid and health work and operations to help aid agencies meet duty of care obligations to staff and reach people in need.
  • 2300+ Downloads
    Updated 21 October 2021 | Dataset date: November 30, 2019-August 31, 2021
    This dataset updates: Every year
    The Who Does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in Nigeria at admin 3 (ward) level by cluster.
  • 700+ Downloads
    Updated 19 October 2021 | Dataset date: September 12, 2018-September 12, 2018
    This dataset updates: As needed
    The regional INFORM Sahel model was initiated by Emergency Response and Preparedness Group of regional Inter-Agency Standing Committee (IASC) and is managed by OCHA. The INFORM model is being used to support the Humanitarian Programme Cycle and coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
  • Updated 17 October 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • 200+ Downloads
    Updated 7 October 2021 | Dataset date: August 01, 2021-August 31, 2021
    This dataset updates: Never
    Who is doing what and where for North East Nigeria for the August period (August 01 - August 31, 2021)
  • 100+ Downloads
    Updated 28 September 2021 | Dataset date: September 24, 2021-September 24, 2021
    This dataset updates: As needed
    Hospitals and Clinics with registration status and Location in Nigeria. This dataset has been publicly provided by the Nigeria Federal Ministry of Health on the NIGERIA Health Facility Registry (HFR) website
  • 1100+ 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.
  • 60+ Downloads
    Updated 16 September 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: Every year
    Refugees and Asylum seekers in Nigeria
  • 400+ Downloads
    Updated 15 September 2021 | Dataset date: November 14, 2020-May 17, 2021
    This dataset updates: Every month
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
  • 300+ 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.
  • 300+ 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.