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
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
28 September 2021
| Dataset date: September 24, 2021-September 24, 2021
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
15 September 2021
| Dataset date: November 14, 2020-May 17, 2021
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
The data is aggregated by Urban/Rural/National and Industry Sector
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.
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.
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.
22 August 2021
| Dataset date: January 01, 1990-August 15, 2021
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.
4 August 2021
| Dataset date: August 01, 2020-August 12, 2022
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.
4 August 2021
| Dataset date: January 01, 1970-December 31, 2019
Education indicators for Nigeria.
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)
22 June 2021
| Dataset date: October 06, 2020-October 06, 2020
Nigeria Health facilities. These are Primary, Secondary and Tertiary entities that provide medical and/or healthcare services and/or engage in the use generally of natural and/or artificial materials to create or dispense drugs.
24 May 2021
| Dataset date: April 12, 2021-April 12, 2021
As a follow up to GeoPoll’s 2020 reports on the impact of COVID-19 in sub-Saharan Africa, GeoPoll conducted a survey to assess the ongoing effects of the pandemic on respondents’ finances, spending, and health, their thoughts and concerns about the vaccine, and their hopes for the future. The study was conducted by SMS in March 2021 in Côte D’Ivoire, the Democratic Republic of Congo (DRC), Kenya, Mozambique, Nigeria, and South Africa. Sample size of 400 per country, nationally representative by age, gender and location (ADM1). To request sub-national data contact firstname.lastname@example.org.
11 May 2021
| Dataset date: September 30, 2021-December 31, 2021
The table above shows the annual burden of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM), and
Global Acute Malnutrition (GAM) for each domain. The total number of children in all areas analysed is 2,128,925. The 2021
burden was determined by Round 9 NFSS (Nutrition and Food Security Surveillance) using combined Severe, Moderate, and
Global Acute Malnutrition (cSAM, cMAM, and cGAM) prevalence. More than 1.1 million cases of acute malnutrition requiring
urgent treatment are expected in 2021. The top five domains with the highest numbers of cases of acute malnutrition are
namely, Southern Yobe, MMC & Jere, Southern Adamawa, Northern Adamawa, Central Yobe. Together, these five domains
account for over two thirds of all cases in the region. In terms of severity based on the prevalence of global acute malnutrition,
the following four zones are worst affected: Central Yobe, Northern Yobe, Northern Borno, East Borno. The combined acute
malnutrition prevalence is at or above 15% in these four zones.
Acute Malnutrition: January - December 2021
4 May 2021
| Dataset date: January 01, 1990-December 31, 2030
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'.
15 April 2021
| Dataset date: March 01, 2020-December 31, 2020
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.
18 March 2021
| Dataset date: December 28, 2018-December 28, 2018
The zipped CSV file details the estimated people in need and people targeted for nutrition support at the Local Government Authority (LGA) level in all three crisis-affected states of north east Nigeria. Among other elements, it presents the breakdown people in need and people targeted, by settlement type (notably in Internally Displaced Persons (IDP) Camps, Host Communities and in Inaccessible Areas).