Ukraine

Data Grid Completeness Expand
Affected People
3 Datasets
25%  50%  25% 
Coordination & Context
4 Datasets
40%  20%  40% 
Food Security & Nutrition
1 Datasets
50%  50% 
Geography & Infrastructure
3 Datasets
50%  25%  25% 
Health & Education
2 Datasets
100% 
Population & Socio-economy
2 Datasets
100% 
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
  • Updated 29 June 2022 | Dataset date: January 01, 2018-June 24, 2022
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Ukraine. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
    1000+ Downloads
    This dataset updates: Every week
  • UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 7, 8, 12 May 2022 and 14 March 2022, and 21 June 2021, analysts found that 5,647 structures sustained visible damage in the AOI. This represents approximately 32% of the structures. Out of these, 315 are destroyed, 2,132 severely damaged, 3,002 moderately damaged and 194 possibly damaged. Compared to the 14 March 2022 analysis, 5% of previously affected buildings sustained additional damage, and the total damage has increased by 28%, with 4,910 new damaged buildings. While no complete count of buildings for Mariupol is available, an open source dataset, which is visibly incomplete indicates at least 17,568 structures in the area. This analysis is based on structures visibly damaged as of 12, 8, 7 May 2022 and 14 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: May 16, 2022-May 16, 2022
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in the city of Borodyanka. Based on imagery collected on 2 May 2022, analysis show that 164 structures sustained damage visible in the satellite imagery. Out of these, 42 are destroyed, 52 severely damaged, 60 moderately damaged and 10 possibly damaged. While no complete count of buildings for Borodyanka is available, an open source dataset which is visibly incomplete indicates at least 1538 structures in the area. This analysis is based on structures visibly damaged as of 2 May 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: May 07, 2022-May 07, 2022
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest in Vorzel. Based on imagery collected on 31 March 2022, analysis shows that 18 structures sustained damage visible in the satellite imagery. Out of these, 2 are destroyed, 8 severely damaged, 5 moderately damaged and 3 possibly damaged. While no complete count of buildings for Vorzel is available, an open source dataset which is visibly incomplete indicates at least 324 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: May 19, 2022-May 19, 2022
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in the city of Chernihiv. Based on imagery collected on 28 April 2022, analysis show that 974 structures sustained damage visible in the satellite imagery. Out of these, 258 are destroyed, 362 severely damaged, 252 moderately damaged and 102 possibly damaged. While no complete count of buildings for Chernihiv is available, an open source dataset which is visibly incomplete indicates at least 17,383 structures in the area. This analysis is based on structures visibly damaged as of 28 April 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest in northeast Kharkiv. Based on imagery collected on 24 April 2022, analysis show that 489 structures sustained damage visible in the satellite imagery. Out of these, 45 are destroyed, 149 severely damaged, 236 moderately damaged and 59 possibly damaged. While no complete count of buildings for Kharkiv is available, an open source dataset which is visibly incomplete indicates at least 18,200 structures in the area. This analysis is based on structures visibly damaged as of 24 April 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within the Azovstal industrial site of Mariupol City, Ukraine. Using imagery collected on 25 April 2022 and 21 June 2021, analysts found that 220 out of 294 structures sustained visible damage in the area of interest (AOI). This represents approximately 75% of them. Out of these, 50 are destroyed, 54 severely damaged, 101 moderately damaged and 15 possibly damaged. In addition, 214 impact craters have also been identified. This analysis is based on damage visible as of 25 April 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: April 26, 2022-April 26, 2022
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest including Hostomel City, Ukraine, and the area of Antonov Airport. Based on imagery collected on 31 March 2022 and 20 February 2022, analysis show that 865 structures sustained damage visible in the satellite imagery. Out of these, 260 are destroyed, 138 severely damaged, 397 moderately damaged and 70 possibly damaged. While no complete count of buildings for Hostomel is available an open source dataset which is visibly incomplete indicates at least 3,116 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 28 June 2022 | Dataset date: March 01, 2022-May 21, 2022
    This dataset is part of the Ukraine Data Explorer Consolidated Multi-Purpose Cash (MPC) 4W and 5W data (Who does What, Where) from Ukraine Cash Working Group (CWG), collected from partners involved in the MPC assistance.
    100+ Downloads
    This dataset updates: As needed
  • Updated 28 June 2022 | Dataset date: June 28, 2022-June 28, 2022
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    9400+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: December 15, 2020-June 29, 2022
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
    1600+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: February 19, 2021-June 29, 2022
    This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.
    1300+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: February 08, 2021-June 29, 2022
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
    100+ Downloads
    This dataset updates: Live
  • Updated 28 June 2022 | Dataset date: August 02, 2021-June 29, 2022
    This dataset contains the number of confirmed cases, recoveries and deaths by country and subnational region due to the Coronavirus pandemic in Europe. Since the outbreak of the COVID-19 crisis, the Joint Research Centre (JRC) has been supporting the European Commission in multidisciplinary areas to understand the COVID-19 emergency, anticipate its impacts, and support contingency planning. This data provides an overview of the monitoring in the area of the 34 UCPM Participating States plus Switzerland related to sub-national data (admin level 1) on numbers of contagious and fatalities by COVID-19, collected directly from the National Authoritative sources (National monitoring websites, when available). The sub-national granularity of the data allows to have a fit-for-purpose model to early capture the local spread and response to the COVID-19 outbreak. The data is maintained on the JRC COVID-19 Github Repository
    2700+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: February 24, 2022-June 29, 2022
    In 2015, the World Health Organization established the Attacks on Health Care (AHC) initiative. This initiative is a priority of WHO’s Health Emergencies Programme. The vision of the initiative is that essential lifesaving health services must be provided to emergency-affected populations unhindered by any form of violence or obstruction. The Surveillance System for Attacks on Health Care (SSA) is one of the outputs of this initiative. The purpose of the WHO Surveillance System for Attacks on Health Care (SSA) is to systematically collect and make available data on attacks on health care, and their immediate impact on health care in countries facing emergencies. Definition of attack WHO defines an attack as any act of verbal or physical violence, threat of violence or other psychological violence, or obstruction that interferes with the availability, access and delivery of curative and/or preventive health services. Criteria for determining the level of certainty of an attack on health care Rumour Social media post (Twitter or Facebook) OR Hearsay OR Form submission from anonymous source Possible Media report from local or international news source OR Communication from an organization not defined in the partner group that an attack has been made against them Probable One eyewitness accounts of the attack as told to one or more SSA partner OR Two secondary accounts (not eyewitnesses) of the attack as told to one or more SSA partner(s) Confirmed Communication from an SSA partner that an attack has been made against them OR One eyewitness account by someone from the SSA partner group OR Two eyewitness accounts of the attack as told to one or more SSA partner(s) OR Types and sources of information that would be graded as ‘Probable’ PLUS-A photo, video or satellite image of the attack or its aftermath, or an international media or police report that provides clear evidence of the attack
    100+ Downloads
    This dataset updates: Live
  • Updated 28 June 2022 | Dataset date: March 03, 2022-June 29, 2022
    Key Figures extracted from Ukraine Flash Appeal, FTS and the daily Situation Reports.
    600+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: February 24, 2022-June 29, 2022
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Ukraine Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
    80+ Downloads
    This dataset updates: Live
  • Updated 28 June 2022 | Dataset date: January 01, 2021-June 16, 2022
    Consolidated 3W and 5W data (Who does What, Where) from OCHA Ukraine, collected from the clusters and organizations involved in the response.
    1300+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: December 14, 2020-June 17, 2022
    Immunization campaigns impacted due to COVID-19
    1200+ Downloads
    This dataset updates: Live
  • Updated 28 June 2022 | Dataset date: January 01, 2021-June 29, 2022
    At the time of the Global Humanitarian Overview 2022 launch in December 2021, 274 million people need humanitarian assistance and protection. This number means that 1 in 29 people worldwide needs humanitarian assistance – a significant increase from 1 in 33 in 2020 and 1 in 45 in 2019, which were already the highest figures in decades. The UN and partner organizations aim to assist 183 million people most in need across 30 countries and 7 regions and require a total of $ 41 billion to do so.
    400+ Downloads
    This dataset updates: Every month
  • Updated 28 June 2022 | Dataset date: March 03, 2022-March 03, 2022
    This dataset contains layers ESRI ArcGIS Online feature services for the following layers of interest to the logistics cluster in Ukraine: - Entry and exit points - Ports - Supply routes - Roads - Railways - Reception points - Roads in Poland
    300+ Downloads
    This dataset updates: As needed
  • Updated 27 June 2022 | Dataset date: January 01, 1960-December 31, 2021
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.
    900+ Downloads
    This dataset updates: Every month
  • Updated 27 June 2022 | Dataset date: January 01, 1989-December 31, 2021
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies.
    400+ Downloads
    This dataset updates: Every month
  • Updated 27 June 2022 | Dataset date: January 01, 1989-December 31, 2021
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.
    200+ Downloads
    This dataset updates: Every month
  • Updated 27 June 2022 | Dataset date: January 01, 1960-December 31, 2021
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
    400+ Downloads
    This dataset updates: Every month