Ukraine

Data Grid Completeness
93% 
15/16 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
Affected People
4 Datasets
100% 
Internally-Displaced Persons
Ukraine Displacement Data: IDP Estimates [IOM DTM]
International Organization for Migration (IOM)
Refugees & Persons of Concern
Ukraine - Data on forcibly displaced populations and stateless persons
UNHCR - The UN Refugee Agency
Returnees
Ukraine Displacement Data - Returnees [IOM DTM]
International Organization for Migration (IOM)
Humanitarian Needs
Ukraine: Humanitarian Needs and Response Targets
OCHA Ukraine
Coordination & Context
4 Datasets
80%  19% 
3w - Who is doing what where
Ukraine: Who Does What, Where (3W/5W)
OCHA Ukraine
Funding
Ukraine - Requirements and Funding Data
OCHA Financial Tracking System (FTS)
Conflict Events
Ukraine - Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Ukraine: Border Crossings
OCHA Ukraine
Climate Impact
Food Security & Nutrition
1 Datasets
100% 
Food security
Not applicable
Acute Malnutrition
Not applicable
Food Prices
Ukraine - Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
100% 
Administrative Divisions
Ukraine - Subnational Administrative Boundaries
OCHA Field Information Services Section (FISS)
Populated Places
Ukraine: Populated Places
OCHA Ukraine
Roads
Ukraine Roads (OpenStreetMap Export)
Humanitarian OpenStreetMap Team (HOT)
Airports
Ukraine: Certified Airfields
OCHA Ukraine
Health & Education
0 Datasets
100% 
Health Facilities
Not available
Education Facilities
Not available
Population & Socio-economy
2 Datasets
100% 
Baseline Population
Ukraine - Subnational Population Statistics
UNFPA
Poverty Rate
Ukraine: subnational poverty trends
Oxford Poverty & Human Development Initiative
Data Datasets [152] | Archived Datasets[46] [?]
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  • Imperial College COVID-19 Projections
    HDX
    300+ Downloads
    Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    Less
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • Ukraine - Age and sex structures
    WorldPop
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
    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. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. 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/WP00646