Data Grid Completeness
47%  31% 
9/19 Core Data 16 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
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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
40%  20%  40% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Humanitarian Access
Climatic Hazards
Food Security & Nutrition
1 Datasets
50%  50% 
Food security
Acute Malnutrition
Not applicable
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
50%  50% 
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
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  • Updated 28 June 2022 | Dataset date: May 16, 2022-May 16, 2022
    This dataset updates: Never
    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).
  • Updated 28 June 2022 | Dataset date: May 07, 2022-May 07, 2022
    This dataset updates: Never
    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).
  • Updated 28 June 2022 | Dataset date: May 19, 2022-May 19, 2022
    This dataset updates: Never
    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).
  • Updated 28 June 2022 | Dataset date: May 04, 2022-May 04, 2022
    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).
  • Updated 28 June 2022 | Dataset date: April 28, 2022-April 28, 2022
    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).
  • Updated 28 June 2022 | Dataset date: April 26, 2022-April 26, 2022
    This dataset updates: Never
    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).
  • 300+ Downloads
    Updated 28 June 2022 | Dataset date: March 03, 2022-March 03, 2022
    This dataset updates: As needed
    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
  • 100+ Downloads
    Updated Live | Dataset date: February 08, 2021-August 10, 2022
    This dataset updates: Live
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
  • 100+ Downloads
    Updated Live | Dataset date: February 24, 2022-August 10, 2022
    This dataset updates: Live
    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
  • 2700+ Downloads
    Updated 28 June 2022 | Dataset date: August 02, 2021-August 10, 2022
    This dataset updates: As needed
    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
  • 1200+ Downloads
    Updated Live | Dataset date: December 14, 2020-August 02, 2022
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 80+ Downloads
    Updated 22 June 2022 | Dataset date: June 22, 2022-June 22, 2022
    This dataset updates: As needed
    The dataset provides names and locations of the certified airfields in Ukraine that are included in the State Registry of Civil Airfields of Ukraine and the Journal of Admission to Operation of Permanent Runway Platforms as of 24 May 2022 according to the State Aviation Administration of Ukraine. Airfield Certificate issued by the State Aviation Administration confirms the airfield compliance with the requirements of Ukrainian aviation rules. Operation of airfield (helidrome) for the purpose of accomplishment of air transportation and/or aviation works in the absence of the certificate or in case of cancellation of the certificate is forbidden.
  • 1100+ Downloads
    Updated 19 June 2022 | Dataset date: January 01, 2008-December 31, 2021
    This dataset updates: Every year
    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.
  • 2400+ Downloads
    Updated 9 June 2022 | Dataset date: June 09, 2022-June 09, 2022
    This dataset updates: As needed
    This dataset includes the names and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.
  • 300+ Downloads
    Updated 18 May 2022 | Dataset date: January 01, 2021-April 30, 2022
    This dataset updates: As needed
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
  • Updated 29 April 2022 | Dataset date: January 06, 2022-January 06, 2022
    This data is by request only
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 50+ Downloads
    Updated 22 April 2022 | Dataset date: March 18, 2022-March 18, 2022
    This dataset updates: As needed
    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 14 March 2022 and 21 June 2021, analysts found that 773 out of 17,594 structures sustained visible damage in the AOI. This represents approximately 4% of the structures. Out of these, 62 are destroyed, 315 severely damaged, 321 moderately damaged and 75 possibly damaged. This includes 8 schools and 4 health facilities. This analysis is based on structures visibly damaged as of 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).
  • 30+ Downloads
    Updated 16 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: As needed
    Ukraine administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
  • 40+ Downloads
    Updated 15 April 2022 | Dataset date: April 14, 2022-April 14, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment in Irpin City, Ukraine. Based on imagery collected on 31 March 2022, analysts found that 1,060 structures sustained damage visible on the satellite imagery. Out of these, 115 are destroyed, 698 severely damaged, 187 moderately damaged and 60 possibly damaged. This includes 4 education facilities and 3 health facilities. While no complete count of buildings for Irpin is available, an open source dataset which is visibly incomplete indicates at least 3,732 structures in the area. This analysis is based on structures visibly damaged as of 31 March 2022 as seen in marginally cloudy 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).
  • 20+ Downloads
    Updated 12 April 2022 | Dataset date: April 12, 2022-April 12, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Building Damage Assessment (RBDA) in Kotsiubynske and the western part of Kyiv City, Kyiv Oblast, Ukraine. The RBDA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022 and on 25 March 2022, analysts found that 66 out of 4672 cells in western Kyiv sustained visible damage. This represents approximately 1.4% of the cells over the area. This analysis is based on structures visibly damaged as of 31 March 2022 and 25 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).
  • 10+ Downloads
    Updated 12 April 2022 | Dataset date: April 11, 2022-April 11, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in the Horenka, Kyiv region, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 51 cells out of 66 cells in Horenka sustained visible damage. This represents approximately 77% of the cells over 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).
  • 10+ Downloads
    Updated 11 April 2022 | Dataset date: April 08, 2022-April 08, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based building damage assessment within an area of interest (AOI) including Bucha City, Ukraine, and a small area on the western edge. Based on imagery collected on 31 March 2022 and 20 February 2022, analysts found that 147 structures sustained damage visible in the satellite imagery. Out of these, 19 are destroyed, 72 severely damaged, 27 moderately damaged and 29 possibly damaged. This includes 3 health facilities. While no complete count of buildings for Bucha is available an open source dataset which is visibly incomplete indicates at least 2,373 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).
  • 100+ Downloads
    Updated 8 April 2022 | Dataset date: August 14, 2018-August 14, 2018
    This data is by request only
    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.
  • 20+ Downloads
    Updated 8 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Irpin City, Kyiv Oblast, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 176 cells out of 246 in the City of Irpin sustained visible damage. This represents approximately 71% of the cells over the city. 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).
  • 10+ Downloads
    Updated 7 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Hostomel City, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 31 March 2022, analysts found that 125 cells out of 217 in the City of Hostomel sustained visible damage. This represents approximately 58% of the cells over the city. 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).