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
Updated
31 January 2022
| Dataset date: December 01, 2017-August 31, 2018
This dataset covers the finding of the post-execution monitoring of 232 houses repaired by UNHCR in the frame of the 2017 shelter programme in the east of Ukraine.
The monitoring visits took place between December 2017 and August 2018, and were performed by teams composed by at least two members, one from the Shelter team and one from the Protection unit. The monitored sample covers all five UNHCR offices in the field (Mariupol, Sloviansk and Severodonetsk in Government Controlled Areas (GCA); Donetsk and Luhansk in non Government Controlled Areas (NGCA)). The 232 monitoring visits included in the report represent 13% of the 1.732 repairs conducted in 2017 by UNHCR. The number of monitoring visits conducted corresponds to approximately one-third of the target recommended by the SOPs (607 visits, or 35% of the total number of repairs).
The monitoring of 2017 shelter activities confirms that shelter assistance - in terms of repair of houses damaged by conflict-related activities - is highly appreciated by the recipients and is generally executed with good quality. The consistent quality is related to the fact that it is easy to find construction companies and brigades with sufficient expertise, and the technology involved is basic and repetitive.
Updated
31 January 2022
| Dataset date: September 03, 2018-March 31, 2019
This report covers the finding of the post-execution monitoring of 464 houses repaired by UNHCR in the frame of the 2018 shelter programme in the east of Ukraine.
The monitoring visits took place between September 2018 and March 2019, and were performed by teams composed of at least two members, one from the shelter team and one from the protection unit.
The monitored sample covers repairs completed in the geographic areas of all five UNHCR offices in eastern Ukraine (Mariupol, Sloviansk and Sievierodonetsk in government-controlled areas [GCA]; Donetsk and Luhansk in non-government-controlled areas [NGCA]).
The 464 monitoring visits on which this report is based represent 34% of the 1,374 repairs conducted in 2018 by UNHCR: a significant improvement compared to the 13% covered in the 2017 shelter monitoring exercise (232 visits out of 1,732 repairs conducted).
The monitoring of 2018 shelter activities confirms the main findings of the 2017 campaign: the repair of houses damaged by conflict-related incidents is still highly appreciated by recipients (95% of respondents, compared to 97% in 2017) and is executed with good quality (99% of cases, compared to 100% in 2017).
Updated
31 January 2022
| Dataset date: October 03, 2019-April 30, 2020
This report covers the finding of the post-execution monitoring of 433 houses repaired by UNHCR in the frame of the 2019 shelter programme in the east of Ukraine.
The monitoring visits took place between October 2019 and April 2020, and were performed by teams composed of at least two members, one from the shelter team and one from the protection unit. The form has two main sections, one focusing on technical aspects, the other on protection.
A few changes to the questionnaire were introduced in 2019, mainly to capture the feedback on cash based interventions; all changes, though, comply with the principle of preserving the comparability of data and findings across the implementation years. The monitored sample covers repairs completed in the geographic areas of four of the five UNHCR offices in eastern Ukraine: Mariupol, Sloviansk and Sievierodonetsk in governmentcontrolled areas (GCA); and Donetsk in non government-controlled areas (NGCA). Last year, Luhansk office in NGCA was not allowed to implement field visits and therefore could not contribute to the 20192 monitoring exercise.
The 433 monitoring visits on which this report is based represent 33 per cent of the 1,316 repairs conducted in 2019 by UNHCR, in line with last year’s already satisfactory achievement.
Updated
31 January 2022
| Dataset date: January 18, 2022-August 18, 2022
Ukraine administrative level 0-4 boundaries. See caveats.
The administrative level 0 and 1 layers are suitable for database or GIS linkage to the Ukraine - Subnational Population Statistics tables.
Updated
Live
| Dataset date: January 01, 2017-December 31, 2021
This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','station')
Features may have these attributes:
operator:type
ele
railway
layer
addr:city
name
source
name:ru
name:en
name:uk
addr:full
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
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
addr:city
name
source
name:ru
operator
network
name:en
name:uk
addr:full
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
place
name
source
is_in
name:ru
name:en
name:uk
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university')
Features may have these attributes:
operator:type
amenity
addr:city
building
name
source
name:ru
capacity:persons
name:en
name:uk
addr:full
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL
Features may have these attributes:
operator:type
amenity
addr:city
building
name
port
source
name:ru
name:en
name:uk
addr:full
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site'
Features may have these attributes:
operator:type
addr:city
building
name
source
aeroway
name:ru
capacity:persons
name:en
emergency
name:uk
addr:full
emergency:helipad
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
shop
amenity
rooms
beds
opening_hours
addr:city
name
addr:housenumber
source
man_made
name:ru
name:en
name:uk
addr:full
tourism
addr:street
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
tunnel
natural
layer
covered
depth
name
water
source
width
name:ru
blockage
name:en
waterway
name:uk
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
6 January 2022
| Dataset date: May 18, 2022-May 18, 2022
Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys.
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
oneway
surface
layer
bridge
name
lanes
highway
source
width
name:ru
name:en
name:uk
smoothness
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
31 December 2021
| Dataset date: March 04, 2022-March 04, 2022
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
name
addr:housenumber
office
name:uk
name:ru
source
name:en
addr:full
building
building:materials
addr:street
building:levels
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
15 December 2021
| Dataset date: October 13, 2021-October 13, 2021
We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook.
Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259).
Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
Updated
14 December 2021
| Dataset date: October 07, 2021-October 15, 2022
This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
Updated
17 October 2021
| Dataset date: January 01, 2020-December 31, 2020
The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation).
The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices.
Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact.
More info is available on the official website: https://lis.unhcr.org
Updated
Live
| Dataset date: January 01, 2019-August 18, 2022
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
Updated
22 August 2021
| Dataset date: January 01, 1990-August 15, 2021
This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
Updated
13 August 2021
| Dataset date: January 01, 2018-July 31, 2021
Number of private houses damaged as a result of conflict at adm 0-1 levels, disaggregated by GCA/NGCA. Yearly numbers of damaged houses for 2018-2021 and monthly numbers for June 2020 - July 2021.
Updated
4 August 2021
| Dataset date: January 01, 1970-December 31, 2019
Education indicators for Ukraine.
Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)
Updated
4 August 2021
| Dataset date: August 01, 2020-August 18, 2022
The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
