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
Updated
24 May 2022
| Dataset date: September 01, 2016-April 01, 2018
More than 200 million businesses use Facebook. Meta partners with various academic and international organizations to survey these businesses throughout the year to learn about their perspectives, challenges and opportunities. With more businesses leveraging online tools each day, these surveys provide a lens into a new mobilized and digital economy.
The Future of Business Survey (FoBS) is a collaboration between Meta, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises or Businesses (SMEs/SMBs). The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. The Future of Business Survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. In 2020, the Future of Business Survey shifted to do additional monthly waves with questions focused on business challenges related to COVID-19.
Meta also shares information from other SMB surveys, such as those that feed into the Global State of Small Business Reports, which are fielded to active Facebook Page Administrators and the general population of Facebook users. These surveys are conducted in approximately 30 countries across the globe and are also conducted on a roughly bi-annual basis.
Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, reduction of employees and challenges/needs of the business.
Aggregated country level data is available to the public here for each wave and controlled access microdata is available to Data for Good partners.
To request access to survey microdata or to see published Meta reports, please visit: futureofbusinesssurvey.org
Update 12/12/21: We have transitioned all small business survey datasets to have survey weights applied. Files with weighted estimates have now replaced the previously posted unweighted estimates.
Update 10/4/21: Aggregate data in files [gsosb_2021julyaugust_data_aggregate_weighted.csv] and [gsosb_2021february_data_aggregate_weighted.csv] have been updated to provide weighted results and to correct an error found in those two files. These files were discovered to present results for large businesses rather than small and medium businesses and have been updated to provide the information for the latter group. Downloads of these two files that took place between April 1 and September 30 2021 were affected and analysis using downloads from this period may need to be amended. No analyses or reports published by Facebook were affected.
Please contact dataforgood@fb.com for any questions.
Updated
23 May 2022
| Dataset date: January 01, 2019-December 31, 2021
These datasets contain information on violent and threatening incidents affecting aid operations, education, healthcare, refugees and IDPs in Nigeria to ensure staff safety and better response outcomes.
Updated
23 May 2022
| Dataset date: January 01, 2016-December 31, 2021
The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
Updated
18 May 2022
| Dataset date: January 01, 2021-April 30, 2022
These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access.
Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
Updated
15 May 2022
| Dataset date: January 01, 2014-June 28, 2022
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.
(Refer to the documents linked as showcases for more information).
Updated
15 May 2022
| Dataset date: March 01, 2021-October 31, 2022
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
Updated
14 April 2022
| Dataset date: April 07, 2022-April 07, 2022
Nigeria administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
4 April 2022
| Dataset date: April 04, 2022-June 28, 2022
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 data product contains all information contained in the previous “GRID3 Nigeria Settlement Extents, Version 01.01” product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex.
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. 2022. GRID3 Nigeria Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/1tb8-bm49 . Accessed DAY MONTH YEAR
Updated
28 March 2022
| Dataset date: March 07, 2022-June 28, 2022
This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement.
The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
Updated
25 March 2022
| Dataset date: January 01, 2022-June 28, 2022
SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA)
The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20]
This dataset contains 119 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO.
For more information contact ssa@who.inthttp://ssa.who.int
Dates 2022/01/01 - 2022/03/25
Updated
25 March 2022
| Dataset date: February 25, 2017-December 31, 2022
SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA)
The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20]
http://ssa.who.int
This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO.
For more innformation contact ssa@who.int
Dates 31/12/2021
25/02/2017
Updated
22 March 2022
| Dataset date: January 01, 2020-February 28, 2022
These datasets comprise publicly reported cases of sexual violence by law enforcement bodies, conflict related sexual violence, and sexual violence that targets IDPs / refugees or vulnerable beneficiaries from information available in local, national and international news outlets and online databases.
Dataset for South Sudan currently available. Other datasets covering the DRC, Ethiopia, Nigeria and South Sudan will soon be available.
Updated
15 March 2022
| Dataset date: September 30, 2021-September 30, 2021
This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2010 to 2021.
PIN figures for 2022 are available in this dataset: Interagency Response Plans in 2022
Updated
16 February 2022
| Dataset date: January 01, 2019-December 31, 2021
This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset
These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date.
All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
Updated
15 February 2022
| Dataset date: January 01, 2017-December 31, 2021
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
Updated
10 February 2022
| Dataset date: December 31, 2019-September 23, 2020
The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.
The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.
The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:
• Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines
• Policy-related: government coordination and legal authorization, public communications and education, movement restrictions
• Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces
• Economic measures: economic and social measures, logistics / supply chains and security.
We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.
Comments on the data can be submitted to covid.database.comments@dalberg.com
Questions can be submitted to covid.database.questions@dalberg.comwww.dalberg.com
Updated
14 January 2022
| Dataset date: September 21, 2020-September 21, 2020
This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at:
https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
Updated
Live
| Dataset date: January 01, 2020-December 31, 2020
This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
Updated
31 December 2021
| Dataset date: July 01, 2021-June 28, 2022
West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
West and Central Africa settlements with administrative capitals
