Ukraine

Data Grid Completeness Expand
Affected People
2 Datasets
Coordination & Context
3 Datasets
Food Security & Nutrition
2 Datasets
Geography & Infrastructure
4 Datasets
Health & Education
1 Datasets
Population & Socio-economy
2 Datasets
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
Data [99]
  • Updated June 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing methods and time periods are still available for download here: Individual countries and Whole continent. 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
    This dataset updates: Every year
  • Updated June 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data and methods can be found in Tatem et al, a description of the modelling methods used found in Stevens et al, and access to modelling code here. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively). Individual countries 2000-2020: Consistent 100m resolution population count datasets created using "top-down" methods for all countries of the World for each year 2000-2020. Individual countries 2000-2020 UN adjusted: Adjusted to match official United Nations population estimates (UN 2019). Global mosaics 2000-2020: Mosaiced 1km resolution versions of the "Individual countries 2000-2020" datasets. Bespoke methods for individual countries (WOPR): Bespoke 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent 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/WP00645
    90+ Downloads
    This dataset updates: Every year
  • Updated Live | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Ukraine, with latitude and longitude. Unverified community data from http://ourairports.com/countries/UA/
    60+ Downloads
    This dataset updates: Live
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: amenity source network name addr:full addr:city operator This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
  • Updated May 30, 2020 | Dataset date: Jan 1, 2008-Dec 31, 2019
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
    200+ Downloads
    This dataset updates: Every year
  • Updated May 6, 2020 | Dataset date: Jan 1, 2020-Dec 31, 2020
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
    300+ Downloads
    This dataset updates: Every year
  • Updated May 6, 2020 | Dataset date: Mar 26, 2020
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
    500+ Downloads
    This dataset updates: As needed
  • Ukraine education facilities in Donetska and Luhanska
    10+ Downloads
    This dataset updates: As needed
  • Updated April 29, 2020 | Dataset date: Jan 1, 1990-Dec 31, 2017
    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'.
    60+ Downloads
    This dataset updates: Every year
  • Updated March 21, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2007
    Contains data from the DHS data portal. There is also a dataset containing Ukraine - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
    600+ Downloads
    This dataset updates: Every year
  • Updated March 21, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2007
    Contains data from the DHS data portal. There is also a dataset containing Ukraine - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
    600+ Downloads
    This dataset updates: Every year
  • Updated March 16, 2020 | Dataset date: Dec 31, 2018
    This dataset contains the affected populations, people in need and targeted populations by sector, region and disaggregated by sex and age. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
    200+ Downloads
    This dataset updates: Every year
  • Updated March 10, 2020 | Dataset date: Dec 5, 2016
    Global Humanitarian Overview 2017 Figures
    600+ Downloads
    This dataset updates: Every year
  • Updated February 6, 2020 | Dataset date: Dec 31, 2001
    Language data drawn from the 2001 government census. Includes the percentage of the population for whom this is their main language, English speaking rates, and literacy rates of people age 15 and older. Available at the admin 0, 1, and 2 levels.
    200+ Downloads
    This dataset updates: As needed
  • Updated October 11, 2019 | Dataset date: Jan 22, 2018-Dec 14, 2018
    In 2016, REACH with the support of OFDA conducted the first area based assessment (ABA) in Ukraine focusing on access to basic services for the 100 government controlled cities and villages along the line of contact seperating the government controlled (GCA) and non government controlled areas (NGCA) of the Donetsk and Luhansk oblasts. The assessment found that access to basic services in conflict-affected areas the assessed communities had been severely disrupted due to the disconnection between peripheries of large cities Donbas and the city centers now in non-governmental controlled areas (NGCA). As a result of the seperation between GCA and NGCA, settlements along the line of contact in the GCA have reorganised themselves inward towards government controlled urban centers. The networks of communities that access basic services unit geographies in government controlled areas have adjusted to the reality of a disconnection with non-government controlled cities by accessing all services and markets in reorganizing into new basic service units surrounding cities controlled by the Ukrainian Government. Based on findings from the area based assessment (ABA), this reorganization of basic services units in Donetsk and Luhansk Oblastsbas increases pressure on administrative services, housing, education and health services due to multiple potential factors including: i) the departure of qualified personnel ii) the arrival of conflict-displaced populations iii) and the relocation of of administrative centers. In order to support effective recovery and longer-term development planning it is critical to understand how the conflict has brought new challenges to service delivery in GCA urban centers close to the line of contact, particularly with regards to the new population flows following the effective closure of large urbanized areas in the NGCA. General Objective To understand the gaps and in the provision of basic services (by service providers) and the barriers to accessing basic services (by households) in raions that have been been separated by the contact line in Donetsk and Luhansk oblasts.
    This data is by request only
  • Updated September 12, 2019 | Dataset date: Nov 3, 2017
    Ukraine administrative level 0 (country), 2 (raion), 3 (council and community), and 4 (settlement) boundary polygons, lines, and representative points, in geodatabase, shapefile, and live service formats, and tabular data in .xlsx format. The data is in geographic coordinate system WGS84. REFERENCE YEAR: 2018 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative level 0-2 shapefiles and geodatabase features are suitable for database or GIS linkage to the Ukraine administrative levels 0-2 population statistics population tables.
    8600+ Downloads
    This dataset updates: Every three months
  • Updated August 7, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset includes any criminally motivated events in which aid agency or aid worker property was stolen, destroyed or otherwise misappropriated in 2018. Categorised by date, country, crime sub-type.
    20+ Downloads
    This dataset updates: As needed
  • Updated June 24, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset covers events in which a health facility was damaged or destroyed by explosive weapon use in 2018. It will be regularly updated with additional details on the impact of explosive weapon use on health facilities. It is a sub-dataset of '2018 SHCC Attacks Data'.
    100+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: Jan 1, 2019-Jan 1, 2020
    Live list of active aid activities for Ukraine shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
    This dataset updates: Live
  • Updated March 7, 2019 | Dataset date: Mar 7, 2019
    Ukraine administrative levels 0 (country), 1 (oblast, autonomous republic, city with special status), and 2 (raion, city municipality) population statistics REFERENCE YEAR: 2018 These tables are suitable for database or GIS linkage to the administrative level 0-2 Ukraine administrative level 0, 1, 2, 3 and 4 boundaries shapefiles and geodatabase features.
    900+ Downloads
    This dataset updates: Every year
  • Updated December 3, 2018 | Dataset date: Aug 14, 2018
    As the conflict in Eastern Ukraine is into its fourth year, ongoing and widespread ceasefire violations along the ‘line of contact’ and the restrictions on movement of people and goods continue to pose significant risks to civilian populations in Donetsk and Luhansk oblasts. 2017 and 2018 saw the conflict intensify, leading to a significant loss of lives, major concerns over the protection of civilians and significant damage to critical infrastructure. Overall, 3.4 million people are in need of humanitarian assistance and protection . It is therefore necessary to update the previous multi-sector needs assessment reports (IAVA, Trend Analysis, Winter Assessment) with a new and relevant data, and further investigate the trends of the changing humanitarian situation on the ground through both secondary data review from other humanitarian actors, as well as primary field collection of data to fill the gaps identified in the humanitarian data available. General Objective To understand and track changes in humanitarian needs of populations living in conflict affected areas in government controlled areas of Ukraine.
    100+ Downloads
    This dataset updates: Every year
  • The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
    200+ Downloads
    This dataset updates: Every year
  • This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
    1400+ Downloads
    This dataset updates: Every month
  • 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.
    100+ Downloads
    This dataset updates: Never