Data Grid Completeness
50% 
9/18 Core Data 15 Datasets 10 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
3 Datasets
50%  25%  25% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
UNHCR - The UN Refugee Agency
Returnees
Humanitarian Needs
Coordination & Context
4 Datasets
50%  25%  25% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Humanitarian Access
Food Security & Nutrition
1 Datasets
50%  50% 
Food security
Acute Malnutrition
Not applicable
Food Prices
WFP - World Food Programme
Geography & Infrastructure
3 Datasets
50%  25%  25% 
Administrative Divisions
OCHA Field Information Services Section (FISS)
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Health & Education
2 Datasets
100% 
Health Facilities
Education Facilities
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
Refine your search: Clear all
Featured:
Locations:
Formats:
Organisations:
Tags:
More
Licenses:
  • 2300+ Downloads
    Updated 3 May 2022 | Dataset date: January 22, 2014-December 25, 2019
    This dataset updates: Never
    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
  • 200+ Downloads
    Updated 11 April 2016 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.