Ukraine - Humanitarian Data Exchange

Mariupol Updated Building Damage Assessment Overview Map - Livoberezhnyi and...

United Nations Satellite Centre (UNOSAT)

70+ Downloads

Time Period of the Dataset [?]: June 15, 2022-June 15, 2022 ... More

This dataset updates: Never

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).

UNOSAT Damage Assessment Overview Map - Livoberezhnyi and Zhovtnevyi...

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: March 18, 2022-March 18, 2022 ... More

This dataset updates: Never

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).

North Kharkiv Rapid Damage Assessment Overview Map

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: March 30, 2022-March 30, 2022 ... More

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).

Sumy Rapid Damage Assessment Overview Map

United Nations Satellite Centre (UNOSAT)

80+ Downloads

Time Period of the Dataset [?]: March 30, 2022-March 30, 2022 ... More

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).

Mariupol Rapid Damage Assessment Overview Map

United Nations Satellite Centre (UNOSAT)

40+ Downloads

Time Period of the Dataset [?]: April 01, 2022-April 01, 2022 ... More

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).

SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) -Historic

Health Cluster

80+ Downloads

Time Period of the Dataset [?]: February 25, 2017-December 31, 2022 ... More

This dataset updates: Never

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

XLSX

Ukraine: 2022 Humanitarian Response Plan

OCHA Ukraine

100+ Downloads

Time Period of the Dataset [?]: December 20, 2021-December 31, 2022 ... More

This dataset updates: Never

The attached dataset is from the 2022 Ukraine HRP and offers the number of targeted people by geozone and by population group. The data is also presented with SADD.

XLSX

Ukraine: Baseline Population in Donetska and Luhanska Oblasts

OCHA Ukraine

100+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2022 ... More

This dataset updates: Never

Ukraine estimated baseline population data (residents and IDPs) in Donetska and Luhanska oblasts used in 2022 HNO with SAAD disaggregation at adm1, GCA/NGCA and zone (distance from contact line) level. Estimation is based on 2001 census.

XLSX

Ukraine: Security Incidents

OCHA Ukraine

100+ Downloads

Time Period of the Dataset [?]: January 31, 2017-October 31, 2021 ... More

This dataset updates: Never

Monthly numbers of security incidents in Ukraine for the period January 2017 - July 2021

XLSX

Ukraine: Civilian Casualties

OCHA Ukraine

40+ Downloads

Time Period of the Dataset [?]: January 01, 2021-September 30, 2021 ... More

This dataset updates: Never

Dataset includes monthly numbers of civilian casualties by cause, type and location (adm1, GCA/NGCA) in 2021, and yearly numbers of civilian casualties by cause, type and location (GCA/NGCA) in 2016-2020. The dataset is compiled based on the monthly and yearly updates on civilian casualties in Ukraine provided by the Office of the High Commissioner for Human Rights (OHCHR).

XLSX

Ukraine: Entry/Exit Crossing Points

OCHA Ukraine

100+ Downloads

Time Period of the Dataset [?]: September 01, 2021-September 01, 2021 ... More

This dataset updates: Never

The dataset contains entry/exit crossing points along the "contact line" dividing Government-controlled area (GCA) and non-Government-controlled area (NGCA) with coordinates and operational status (operational, non-operational, partially operational, planned). Source: State Border Guard Service of Ukraine, https://dpsu.gov.ua/ua/perelik-kpvv/.

SHP
XLSX

Ukraine: Affected areas (Donetska and Luhanska oblasts)

OCHA Ukraine

20+ Downloads

Time Period of the Dataset [?]: August 13, 2021-September 04, 2024 ... More

This dataset updates: Never

The shapefile contains areas of Donetska and Luhanska oblasts divided by the "contact line" (as of August 2018) in the Government-controlled area (GCA) and non-Government-controlled area (NGCA).

SHP

Ukraine: Internally Displaced Persons

OCHA Ukraine

200+ Downloads

Time Period of the Dataset [?]: February 15, 2021-February 15, 2021 ... More

This dataset updates: Never

These figures were endorsed as the baseline figure of IDPs residing in government-controlled areas (GCAs) in 2020 by OCHA and other humanitarian partners in the Humanitarian Needs Overview for Ukraine for 2021.

XLSX

Impact of the use of explosive weapons on health facilities

EWIPA Community (inactive)

200+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2020 ... More

This dataset updates: Never

This dataset contains events where air- and ground-launched explosive weapons affected health facilities between 2016 and 2020.

XLSX

UN Collective Results on the COVID-19 Socioeconomic Response in 2020

United Nations Development Coordination Office (inactive)

300+ Downloads

Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More

This dataset updates: Never

Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.

XLSX

Satellite detected waters in Ivano-Frankivska and Ternopilska Oblast of...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: July 08, 2020-July 08, 2020 ... More

This dataset updates: Never

UNOSAT code: FL20200626UKR This map illustrates satellite-detected surface waters in Ivano-Frankivska and Ternopilska Oblastof Ukraine as observed from a Sentinel-1 image acquired on 24 June 2020. Within the ana lyzed area of about 642 km2, a total of a bout 35 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT .

Ukraine Who Does What Where (3W) -January to December 2019

OCHA Ukraine

80+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More

This dataset updates: Never

Operational presence of partners who does what where by oblast (admin1) from January to December 2019

XLSX

Ukraine - Subnational Population Statistics

OCHA Ukraine

500+ Downloads

Time Period of the Dataset [?]: March 07, 2019-September 04, 2024 ... More

This dataset updates: Never

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 GIS or database linkage to the Ukraine - Subnational Administrative Divisions at administrative level 0-1.

XLSX
CSV

Ukraine - Demographic, Health, Education and Transport indicators

United Nations Human Settlement Programmes, Data and Analytics Section

100+ Downloads

Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More

This dataset updates: Never

This dataset is part of the data series [?]: United Nations Human Settlement Programmes, Global Urban Observatory - Demographic, Health, Education and Transport indicators

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.

CSV

Number of people reached with food assistance in emergency settings

WFP - World Food Programme

400+ Downloads

Time Period of the Dataset [?]: October 27, 2016-October 27, 2016 ... More

This dataset updates: Never

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.

XLSX

GAR15 Global Exposure Dataset for Ukraine

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure

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.

SHP