Data Grid Completeness
50% 
9/18 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.
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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
50%  25%  25% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Humanitarian Access
Food Security & Nutrition
1 Datasets
50%  50% 
Food security
Acute Malnutrition
Not applicable
Food Prices
WFP - World Food Programme
Geography & Infrastructure
3 Datasets
50%  25%  25% 
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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  • 2000+ Downloads
    Updated 14 April 2022 | Dataset date: April 14, 2022-April 14, 2022
    This dataset updates: Every month
    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.
  • 10+ 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).
  • 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 Live | Dataset date: February 24, 2022-May 22, 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
  • 2600+ Downloads
    Updated 9 April 2022 | Dataset date: August 02, 2021-May 22, 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
  • 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.
  • 10+ 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).
  • 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).
  • 10+ Downloads
    Updated 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in Donetsk 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 18 and 26 March 2022, analysts found that 6 cells out of 3507 in the City of Donetsk sustained visible damage. This represents 0.17% of the cells over the city. This does not include damage occurring before the current ongoing conflict. This analysis is based on structures visibly damaged as of 18 and 26 March 2022 as seen in moderately degraded satellite imagery affected by precipitation, seasonality, 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 6 April 2022 | Dataset date: April 06, 2022-April 06, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) in the Bucha 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 82 cells out of 305 cells in the City of Bucha sustained visible damage. This represents approximately 27% 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).
  • 30+ Downloads
    Updated 6 April 2022 | Dataset date: April 05, 2022-April 05, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) of the Mariupolska Hromada, 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 03 April 2022, analysts found that 767 cells out of 3,459 sustained visible damage. This represents approximately 22% of the cells over the Hromada. This represents an increase of 6 percentage points since 26 March 2022. Note that not all 3,459 cells include buildings. Numerous craters are also visible in the fields but were not taken into account for this analysis. This analysis is based on structures visibly damaged as of 03 April 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, 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).
  • 80+ Downloads
    Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagerybased Rapid Damage Building Assessment (RDBA) in the North of Kharkiv, Ukraine. The RDBA divides the area of interest 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 21, 22 and 23 March 2022, analysts found that 72 cells out of 1,866 cells in the North of Kharkiv sustained visible damage. This represents approximately 4% of the cells over the city. This analysis is based on structures visibly damaged as of 21, 22 and 23 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, 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).
  • 70+ Downloads
    Updated 4 April 2022 | Dataset date: March 30, 2022-March 30, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based Rapid Damage Building Assessment (RDBA) in Sumy 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 20 and 22 March 2022, analysts found that 5 cells out of 1,111 cells sustained visible damage. This represents approximately 0.4% of the cells over the city. This analysis is based on structures visibly damaged as of 20 and 22 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 United Nations Satellite Centre (UNOSAT).
  • Updated 4 April 2022 | Dataset date: April 03, 2022-April 03, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) of a 2 km buffer zone on either side of the national highway H20 connecting Mariupol City and Donetsk City, in Donetska Oblast, Ukraine. The RDBA divides the area of interest (AOI) 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 23 and 26 March 2022, analysts found that 66 cells out of 2,869 cells near the national highway H20 connecting Mariupol City and Donetsk City sustained visible damage. This represents approximately 2,3% of the cells of the AOI. The most affected populated places are Volnovakha, Novotroitske and Berezove. This analysis is based on structures visibly damaged as of 23 and 26 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, 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 4 April 2022 | Dataset date: April 01, 2022-April 01, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) of the Mariupolska Hromada, 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 26 March 2022, analysts found that 556 cells out of 3,456 sustained visible damage. This represents approximately 16% of the cells over the Hromada. Note that not all 6,456 cells include buildings. Numerous craters are also visible in the fields but were not taken into account for this analysis. This analysis is based on structures visibly damaged as of 26 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, 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 4 April 2022 | Dataset date: April 03, 2022-April 03, 2022
    This dataset updates: Never
    UNOSAT code: CE20220223UKR This map illustrates a satellite imagery- based Rapid Damage Building Assessment (RDBA) in the Chernihiv 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 22 March 2022, analysts found that 191 cells out of 901 cells in the City of Chernihiv sustained visible damage. This represents approximately 21% of the cells over the city. This analysis is based on structures visibly damaged as of 22 March 2022. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 60+ Downloads
    Updated 31 March 2022 | Dataset date: August 06, 2019-May 22, 2022
    This dataset updates: As needed
    The geodatabase contains boundaries for the national and first- and second- order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided. The tabular data contain total population for 2001 (census) and 2017 (population estimates), as well as five-year age group and sex, language, ethnicity/nationality, and characteristics relating to households, information and communication technology, and income and poverty.
  • 50+ Downloads
    Updated 30 March 2022 | Dataset date: March 28, 2022-May 22, 2022
    This dataset updates: As needed
    These data were produced by WorldPop at the University of Southampton and the ‘Smart Cities and Spatial Development’ team at the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR). These data include gridded estimates of population at approximately 100m and 1km resolution for 2020, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Ukraine in 2020 provided in the Common Operational Dataset on Population Statistics (COD-PS) and building height/area/fraction/volume covariates extracted from the World Settlement Footprint (WSF) imperviousness and WSF-3D by DLR. The constrained top-down disaggregation method was used to produce the datasets. The modelling work and geospatial data processing was led by Bondarenko M., Palacios-Lopez D., Sorichetta A., Leasure D.R., ,Zeidler J., Marconcini M., and Esch T.. Oversight was provided by Tatem A.J. Internal WorldPop peer reviews that helped to improve the results and documentation was provided by Lazar A.N.. Main data sources The German Aerospace Centre’s (DLR) WSF imperviousness and WSF 3D products (WSF-3D). Subnational population estimates for Ukraine in 2020 provided in the Common Operational Dataset on Population Statistics (COD-PS). The subnational population estimates were produced using baseline information from the 2001 Population Census of Ukraine and annual birth and death registration data since then. Subnational Administrative Boundaries for Ukraine provided by OCHA . Geospatial covariate layers available at WorldPop. For further details, please, read the Release Statement. Release content ukr_pop_2020_100m_constrained_v2.zip ukr_pop_2020_1km_constrained_v2.zip ukr_agesex_2020_100m_constrained_v2.zip ukr_agesex_2020_1km_constrained_v2.zip ukr_agesex_0_18_2020_100m_constrained_v2.zip ukr_agesex_0_18_2020_1km_constrained_v2.zip Recommended citations Bondarenko M., Palacios-Lopez D., Sorichetta A., Leasure D.R., Zeidler J., Marconcini, M., Esch T., and Tatem A.J. 2022 Gridded population estimates for Ukraine using UN COD-PS estimates 2020, version 2.0. WorldPop and DLR, University of Southampton. doi:10.5258/SOTON/WP00735 License These data may be distributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) License, specified in legal code. Contact release[at]worldpop.org for more information. The authors followed rigorous procedures designed to ensure that the used data, the applied method and thus the results are appropriate and of reasonable quality. If users encounter apparent errors or misstatements, they should contact WorldPop at release[at]worldpop.org. WorldPop, University of Southampton, and their sponsors offer these data on a "where is, as is" basis; do not offer an express or implied warranty of any kind; do not guarantee the quality, applicability, accuracy, reliability or completeness of any data provided; and shall not be liable for incidental, consequential, or special damages arising out of the use of any data that they offer.
  • 90+ Downloads
    Updated 28 March 2022 | Dataset date: March 07, 2022-May 22, 2022
    This dataset updates: Every six months
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
  • 900+ Downloads
    Updated 25 March 2022 | Dataset date: December 31, 2001-December 31, 2001
    This dataset updates: As needed
    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.
  • 20+ Downloads
    Updated 25 March 2022 | Dataset date: January 01, 2022-May 22, 2022
    This dataset updates: Every six months
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] This dataset contains 119 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more information contact ssa@who.int http://ssa.who.int Dates 2022/01/01 - 2022/03/25
  • 20+ Downloads
    Updated 25 March 2022 | Dataset date: February 25, 2017-December 31, 2022
    This dataset updates: As needed
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] http://ssa.who.int This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more innformation contact ssa@who.int Dates 31/12/2021 25/02/2017
  • 500+ Downloads
    Updated 23 March 2022 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Every year
    This Common Operational Dataset on Population Statistics (COD-PS) is estimated using baseline information from the 2001 Population Census of Ukraine and annual birth and death registration data since the last census. REFERENCE YEAR: 2020 The COD-PS is age- and sex-disaggregated at ADM-1 level (i.e. Oblast) and has a reference date of 1 January, 2020. This common operational dataset is constructed using the cohort-component method of population projection. The 2001 population census data are projected forward to account for population change due to natural increase (using vital event registration data) and net migration (using administrative data sources on migration) at the ADM-1 level and for major cities (with population size of more than 100,000 people). These tables are suitable for database or GIS linkage to the Ukraine - Subnational Administrative Boundaries tables at administrative levels 0 and 1, using the established P-codes.
  • 200+ Downloads
    Updated 22 March 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