Burundi
Data Grid Completeness
10/27 Core Data
22 Datasets
13 Organisations
Show legend
Expand
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
Internally-Displaced Persons
International Organization for Migration
International Organization for Migration
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
International Organization for Migration
Humanitarian Needs
OCHA Burundi
Casualties
Coordination & Context
4 Datasets
3w - Who is doing what where
OCHA Burundi
International Aid Transparency Initiative
Funding
Affected Areas
Conflict Events
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
2 Datasets
Food security
Integrated Food Security Phase Classification (IPC)
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
6 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Humanitarian OpenStreetMap Team (HOT)
OurAirports
Health & Education
5 Datasets
Health Facilities
OCHA Burundi
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Affected Schools
Population & Socio-economy
2 Datasets
Baseline Population
OCHA Burundi
Baseline Population by Age & Sex
Poverty Rate
Oxford Poverty & Human Development Initiative
-
Updated January 26, 2021 | Dataset date: January 01, 2021-January 26, 2021
-
Updated January 26, 2021 | Dataset date: March 01, 2020-August 31, 2020
-
Updated January 26, 2021 | Dataset date: January 01, 2015-December 31, 2020
-
Updated January 26, 2021 | Dataset date: January 26, 2021-January 26, 2021
-
Updated January 26, 2021 | Dataset date: December 15, 2020-January 26, 2021
-
Updated January 25, 2021 | Dataset date: January 01, 2020-April 30, 2020
-
Updated January 25, 2021 | Dataset date: January 25, 2021-January 26, 2021This dataset updates: As needed
-
Updated January 24, 2021 | Dataset date: January 01, 2000-December 31, 2019
-
Updated January 24, 2021 | Dataset date: January 01, 1991-December 31, 2019
-
Updated January 24, 2021 | Dataset date: January 01, 1990-December 15, 2021
-
Updated January 24, 2021 | Dataset date: January 15, 2003-December 15, 2020
-
Updated January 22, 2021 | Dataset date: January 01, 2021-January 01, 2021
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2020
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 2000-December 31, 2017
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2020
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2020
-
Updated January 20, 2021 | Dataset date: January 01, 1980-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 1962-December 31, 2020
-
Updated January 20, 2021 | Dataset date: January 01, 1960-December 31, 2019
-
Updated January 20, 2021 | Dataset date: January 01, 1992-December 31, 2018
-
Updated January 20, 2021 | Dataset date: January 01, 1978-December 31, 2020