Nigeria

Data Grid Completeness
11/27 Core Data 21 Datasets 9 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
Expand
Affected People
4 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
Humanitarian Needs
Coordination & Context
7 Datasets
3w - Who is doing what where
Affected Areas
Humanitarian Access
Transportation Status
WFP - World Food Programme
Humanitarian OpenStreetMap Team (HOT)
Humanitarian OpenStreetMap Team (HOT)
Humanitarian OpenStreetMap Team (HOT)
Damaged & Destroyed Buildings
Food Security & Nutrition
1 Datasets
Food security
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
5 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Humanitarian OpenStreetMap Team (HOT)
Roads
WFP - World Food Programme
Airports
Health & Education
3 Datasets
Health Facilities
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
Education Facilities
Affected Schools
Population & Socio-economy
3 Datasets
Baseline Population
Baseline Population by Age & Sex
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 400+ Downloads
    Updated December 4, 2020 | Dataset date: Dec 4, 2020
    This dataset updates: Every day
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
  • 5500+ Downloads
    Updated December 4, 2020 | Dataset date: Dec 4, 2020
    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.
  • 400+ Downloads
    Updated December 3, 2020 | Dataset date: Sep 25, 1990-Dec 31, 2018
    This dataset updates: Every month
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 3900+ Downloads
    Updated December 3, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2019
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 8500+ Downloads
    Updated December 3, 2020 | Dataset date: Mar 1, 2020-Aug 31, 2020
    This dataset updates: Every day
    These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
  • 800+ Downloads
    Updated December 3, 2020 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every three months
    Education indicators for Nigeria. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: Students and Teachers (made 2020 September), SDG 4 Global and Thematic (made 2020 September), Demographic and Socio-economic (made 2020 September)
  • 800+ Downloads
    Updated December 2, 2020 | Dataset date: Jan 1, 1997-Dec 31, 2020
    This dataset updates: Every week
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
  • 20+ Downloads
    Updated Live | Dataset date: Nov 6, 2020
    This dataset updates: Live
    The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. Incident data is collected both from public sources, through systematic media filtering using a data scraper tool developed for Humanitarian Outcomes, and from information provided directly to the project by aid organisations and operational security entities. The project also maintains agreements with a number of regional and field-level security consortiums for direct information sharing and verification of incidents. Incident reports are crosschecked and verified with the relevant agencies on an annual basis via our verification project. The latest, unverified incidents are provided on the online database with the qualification that the numbers are provisional and may change. For more: https://aidworkersecurity.org/about
  • 400+ Downloads
    Updated November 30, 2020 | Dataset date: Jan 1, 1998
    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
  • 40+ Downloads
    Updated November 30, 2020 | Dataset date: Nov 20, 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 1998 to 2020. 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
  • 200+ Downloads
    Updated November 30, 2020 | Dataset date: Jan 1, 2020-Nov 29, 2020
    This dataset updates: As needed
    Daily Covid-19 cases in african countries : daily infected, recovered and deceased and cumulative cases of infected, recovered and deceased since the beginning of the pandemic.
  • 300+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2019
    This dataset updates: Every year
    Food Security Indicators for Nigeria. Contains data from the FAOSTAT bulk data service.
  • 100+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 1991-Dec 31, 2013
    This dataset updates: Every year
    Prices for Nigeria. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices
  • 8300+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 1990-Nov 15, 2020
    This dataset updates: Every week
    This 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.
  • 1100+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 15, 2002-Oct 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for Nigeria. Food prices data comes from the World Food Programme and covers 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.
  • 100+ Downloads
    Updated November 28, 2020 | Dataset date: Nov 3, 2014
    This dataset updates: Never
    We have provided the 3 word addresses of each health centre within the West African Region. what3words is a simple, real-time, location referencing system which solves many of the key logistical issues facing aid and humanitarian organisations, for whom street addresses, GPS co-ordinates, and other systems don't exist or are problematic. Using words means non-technical people can find any location more accurately and most importantly, communicate it more quickly, more easily and with less ambiguity than any other system. For more information, to get our API or batch encode your coordinates visit http://www.developer.what3words.com
  • 500+ Downloads
    Updated November 27, 2020 | Dataset date: Apr 13, 2020-May 28, 2020
    This dataset updates: Every week
    West and Central Africa Coronavirus covid-19 situation
  • 1200+ Downloads
    Updated November 26, 2020 | Dataset date: Feb 27, 2020-Nov 25, 2020
    This dataset updates: Every week
    Subnational data about Covid19 in Nigeria per day - Infected (new cases), Deceased, Recovered.
  • 100+ Downloads
    Updated November 25, 2020 | Dataset date: Aug 1, 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.
  • Updated November 24, 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. 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 3 and 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. 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
  • 200+ Downloads
    Updated November 24, 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. 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. 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
    Updated November 21, 2020 | Dataset date: Jul 1, 2020-Sep 30, 2020
    This dataset updates: As needed
    Northeast Nigeria Consolidated 3Ws for July to September 2020
  • 1500+ Downloads
    Updated November 20, 2020 | Dataset date: Jan 1, 2020-Oct 31, 2020
    This dataset updates: Every month
    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.
  • 10+ Downloads
    Updated November 20, 2020 | Dataset date: Nov 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.
  • 20+ Downloads
    Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Nigeria Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.