Nigeria

Data Grid Completeness
70% 
14/20 Core Data 19 Datasets 12 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.
Legend:
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
  • No dataset found matching the criteria
Affected People
4 Datasets
50%  50% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
Returnees
International Organization for Migration (IOM)
Coordination & Context
4 Datasets
80%  19% 
3w - Who is doing what where
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Climate Impact
Food Security & Nutrition
3 Datasets
100% 
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
75%  25% 
Administrative Divisions
Roads
Airports
Humanitarian OpenStreetMap Team (HOT)
Health & Education
2 Datasets
100% 
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 6300+ Downloads
    Time Period of the Dataset [?]: January 01, 2014-December 31, 2023 ... More
    Modified [?]: 12 February 2024
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every year
    The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition. There is also a global Acute Food Insecurity Country dataset.
  • 1100+ Downloads
    Time Period of the Dataset [?]: May 30, 2009-February 07, 2024 ... More
    Modified [?]: 8 February 2024
    Dataset Added on HDX [?]: 10 March 2017
    This dataset updates: Every three months
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2003-December 31, 2021 ... More
    Modified [?]: 7 February 2024
    Dataset Added on HDX [?]: 29 April 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: UNDP Human Development Reports Office - Human Development Indicators
    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'.
  • 2300+ Downloads
    Time Period of the Dataset [?]: January 01, 1999-December 31, 2023 ... More
    Modified [?]: 22 January 2024
    Dataset Added on HDX [?]: 24 November 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 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 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 Les limites administratives sont fournies par OCHA https://data.humdata.org/dataset/west-and-central-africa-administrative-boundaries-levels
  • COD+ 7900+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 18 January 2024
    Dataset Added on HDX [?]: 6 June 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Population Statistics
    Nigeria administrative level 0-2 and Senatorial District sex and age disaggregated 2020 population statistics projected from 2006 Census. REFERENCE YEAR: 2020 Dataset updated 2021. These tables are suitable for database or GIS linkage to the Nigeria - Subnational Administrative Boundaries administrative level 0 to 2 and senatorial district shapefiles See caveat.
  • 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 18 January 2024
    Dataset Added on HDX [?]: 10 January 2024
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
    A high-resolution asset exposure dataset produced using 'lit population' (LitPop), a globally consistent methodology to disaggregate asset value data proportional to a combination of nightlight intensity and geographical population data. Exposure data for population, asset values and productive capital at 4km spatial resolution globally, consistent across country borders. The dataset offers value for manifold use cases, including globally consistent economic disaster risk assessments and climate change adaptation studies, especially for larger regions, yet at considerably high resolution. The Climada Data API can be used to explore the full, original datasets.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-August 31, 2023 ... More
    Modified [?]: 4 January 2024
    Dataset Added on HDX [?]: 11 May 2021
    This dataset updates: Every year
    The tables shows the annual burden of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM), and Global Acute Malnutrition (GAM)
  • 500+ Downloads
    Time Period of the Dataset [?]: June 01, 2021-June 30, 2024 ... More
    Modified [?]: 3 January 2024
    Dataset Added on HDX [?]: 15 November 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
  • 30+ Downloads
    Time Period of the Dataset [?]: August 22, 2023-March 29, 2024 ... More
    Modified [?]: 23 December 2023
    Dataset Added on HDX [?]: 23 August 2023
    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 2.1 is an update to the previous version 2.0 gridded population estimates and is based on a correction of the settlement map. 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. This work was part of the GRID3 Bridge Funding project with funding from the Bill and Melinda Gates Foundation (INV-045694). Project partners included the GRID3 Inc and the Center for International Earth Science Information Network in the Earth Institute at Columbia University. Statistical modelling was originally led by Chris Jochem and Doug Leasure with additional support and oversight from Attila Lazar and Andy Tatem. Ortis Yankey led the population map update with additional support from Edith Darin. The authors followed rigorous procedures designed to ensure that the used data, the applied method and thus the results are appropriate and of reasonable quality. If users encounter apparent errors or misstatements, they should contact WorldPop at release@worldpop.org. SUGGESTED CITATIONS WorldPop. 2023. Bottom-up gridded population estimates for Nigeria, version 2.1. WorldPop, University of Southampton. DOI: 10.5258/SOTON/WP00765
  • 1400+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-August 31, 2023 ... More
    Modified [?]: 20 December 2023
    Dataset Added on HDX [?]: 25 August 2022
    This dataset updates: Every year
    The dataset contains information on flood-affected people and locations in Nigeria from 2022 to 2023.
  • 400+ Downloads
    Time Period of the Dataset [?]: July 30, 2022-March 29, 2024 ... More
    Modified [?]: 20 December 2023
    Dataset Added on HDX [?]: 28 March 2022
    This dataset updates: As needed
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to gather the figures relevant to Humanitarian Health response at global levels. The information is collected from the last available data from publicly validated sources. See detailed info below. The data is mainly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact GHCU-IMU at healthcluster@who.int. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is expected to be updated. Not all the fields are available in the reviewed documents, and it is expected to be complemented.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 20, 1993-October 31, 2024 ... More
    Modified [?]: 15 December 2023
    Dataset Added on HDX [?]: 13 March 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: IFRC - Appeals
    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.
  • 10+ Downloads
    Time Period of the Dataset [?]: February 01, 2017-March 29, 2024 ... More
    Modified [?]: 14 December 2023
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Nigeria Current Situation FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2021.
  • 200+ Downloads
    Time Period of the Dataset [?]: October 01, 2020-August 31, 2024 ... More
    Modified [?]: 13 December 2023
    Dataset Added on HDX [?]: 27 April 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports. There is also a global dataset.
  • 800+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-September 30, 2023 ... More
    Modified [?]: 13 November 2023
    Dataset Added on HDX [?]: 11 January 2022
    This dataset updates: As needed
    This dataset contains publicly-reported cases of sexual violence by conflict actors, security personnel, and sexual violence violence that targets aid workers, educators, health workers and IDPS/refugees. Please get in touch if you are interested in curated datasets.
  • 70+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Nigeria 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, and OpenStreetMap data.
  • 40+ Downloads
    Time Period of the Dataset [?]: October 27, 2023-October 27, 2023 ... More
    Modified [?]: 30 October 2023
    Dataset Added on HDX [?]: 30 October 2023
    This dataset updates: Every year
    This dataset shows the description and major roads, residential roads, tertiary roads and tracks in Nigeria
  • 400+ Downloads
    Time Period of the Dataset [?]: August 01, 2020-March 29, 2024 ... More
    Modified [?]: 29 October 2023
    Dataset Added on HDX [?]: 24 August 2020
    This dataset updates: As needed
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
  • 1700+ Downloads
    Time Period of the Dataset [?]: December 14, 2020-November 09, 2023 ... More
    Modified [?]: 29 October 2023
    Dataset Added on HDX [?]: 27 May 2020
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 1800+ Downloads
    Time Period of the Dataset [?]: August 31, 2021-December 31, 2023 ... More
    Modified [?]: 9 October 2023
    Dataset Added on HDX [?]: 15 March 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning
  • 700+ Downloads
    Time Period of the Dataset [?]: January 01, 2009-December 31, 2022 ... More
    Modified [?]: 20 September 2023
    Dataset Added on HDX [?]: 4 September 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
    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. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" 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.
  • 500+ Downloads
    Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 14 September 2020
    This dataset updates: Every year
    This table contains subnational multidimensional poverty trends 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 methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).
  • 2000+ Downloads
    Time Period of the Dataset [?]: December 15, 2020-March 29, 2024 ... More
    Modified [?]: 29 August 2023
    Dataset Added on HDX [?]: 27 May 2020
    This dataset updates: Live
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
  • 90+ Downloads
    Time Period of the Dataset [?]: May 19, 2020-May 19, 2020 ... More
    Modified [?]: 21 August 2023
    Dataset Added on HDX [?]: 27 May 2020
    This dataset updates: As needed
    Pool fund Extended allocation Details
  • 300+ Downloads
    Time Period of the Dataset [?]: December 20, 2020-December 20, 2020 ... More
    Modified [?]: 17 August 2023
    Dataset Added on HDX [?]: 24 November 2021
    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