Humanitarian Datasets | Find Crisis Data

Philippines - Subnational Administrative Boundaries

COD+ 47000+ Downloads

Time Period of the Dataset [?]: February 09, 2018-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Philippines administrative level 0-4 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveat about treatment of National Capital (Manila) data. OCHA acknowledges PSA and the National Mapping and Resource Information Authority (NAMRIA) as the sources. LMB is the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. Its updated to reflect the new areas within BARMM; It uses the new 10-digit pcode consistent with government PSGC as of 2023 This COD-AB was most recently reviewed for accuracy and necessary changes in April 2024. The COD-AB does not require any update. Sourced from National Mapping and Resource Information Authority (NAMRIA), Philippines Statistics Authority (PSA) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Philippines COD-PS. As this is an island country, no edge-matched (COD-EM) version of this COD-AB is required. Please see the COD Portal. Administrative level 1 contains 17 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 88 feature(s). The normal administrative level 2 feature type is ""currently not known"". Administrative level 3 contains 1,642 feature(s). The normal administrative level 3 feature type is ""currently not known"". Administrative level 4 contains 42,048 feature(s). The normal administrative level 4 feature type is ""currently not known"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Show 1 other recently updated dataset from OCHA Philippines

Coronavirus (COVID-19) Cases and Deaths

World Health Organization

24000+ Downloads

Time Period of the Dataset [?]: January 08, 2020-December 31, 2023 ... More

This dataset updates: Every week

Coronavirus COVID-19 daily new and cumulative cases and deaths by country.

Show 2 other recently updated datasets from World Health Organization

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

417000+ Downloads

Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More

This dataset updates: As needed

JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv

CSV

Afghanistan - Food Security and Nutrition Indicators

Food and Agriculture Organization (FAO) of the United Nations

1200+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Security Indicators

Food Security and Nutrition Indicators for Afghanistan. Contains data from the FAOSTAT bulk data service.

CSV

Show 428 other recently updated datasets from Food and Agriculture Organization (FAO) of the United Nations

Bangladesh - Subnational Administrative Boundaries

OCHA Regional Office for Asia and the Pacific (ROAP)

COD+ 33000+ Downloads

Time Period of the Dataset [?]: January 01, 2022-October 31, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Bangladesh administrative level 0-4 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2022 NOTE: COD-PS extends only to administrative level 3. The spelling of 5 districts (and two of their divisions) were changed in 2018. The new spellings are Chattogram (for Chittagong), Barishal (for Barisal), Cumilla (for Comilla), Jashore (for Jessore) and Bogura (for Bogra). These changes will be reflected in the next COD-AB update. This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB requires improvements. Sourced from Bangladesh Bureau of Statistics (BBS) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Bangladesh COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 8 feature(s). The normal administrative level 1 feature type is 'Division'. Administrative level 2 contains 64 feature(s). The normal administrative level 2 feature type is 'District (Zila)'. Administrative level 3 contains 544 feature(s). The normal administrative level 3 feature type is 'upazila (subdistrict) or thana'. Administrative level 4 contains 5,160 feature(s). The normal administrative level 4 feature type is 'currently not known'. Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 17, 2025.

Pakistan - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 30000+ Downloads

Time Period of the Dataset [?]: September 02, 2022-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Pakistan administrative level 0-3 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: The geoservice layer and the pak_admbndl_admALL_ocha_itos_20230308 lines shapefile contains the following special 'admLevel' codes: 86 =Special boundary between administrative level 1 features ""Khyber Pakhtunkhwa"" [PK5] and ""Punjab"" [PK6] to west and ""Gilgit Baltistan"" [PK3] and ""Azad Kashmir"" [PK1] to east. This boundary may need to be symbolized differently in some mapping contexts. 87 = Approimate ""Line of Control"" in Jammu and Kashmir This COD-AB was most recently reviewed for accuracy and necessary changes in September 2024. The COD-AB requires improvements. Sourced from World Food Programme SDI Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Pakistan COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 7 feature(s). The normal administrative level 1 feature type is ""Province or Territory"". Administrative level 2 contains 160 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 577 feature(s). The normal administrative level 3 feature type is ""Tehsil"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Show 4 other recently updated datasets from OCHA Field Information Services Section (FISS)

Thailand - Subnational Administrative Boundaries

OCHA Regional Office for Asia and the Pacific (ROAP)

COD+ 44000+ Downloads

Time Period of the Dataset [?]: January 01, 2022-June 30, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Thailand administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2022./1/1 This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from Royal Thai Survey Department Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Thailand COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 77 feature(s). The normal administrative level 1 feature type is ""Province"". Administrative level 2 contains 928 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 7,425 feature(s). The normal administrative level 3 feature type is ""Sub-district (Tambon)"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Show 26 other recently updated datasets from OCHA Regional Office for Asia and the Pacific (ROAP)

Kenya - Subnational Administrative Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD+ 22000+ Downloads

Time Period of the Dataset [?]: July 03, 2018-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Kenya administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB and COD-PS features do not correspond at ADM2. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from IEBC Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Kenya COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 47 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 290 feature(s). The normal administrative level 2 feature type is ""currently not known"". These administrative boundaries became out of date in: 2020 Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Show 22 other recently updated datasets from OCHA Regional Office for Southern and Eastern Africa (ROSEA)

Mortality rate age 5-24

UNICEF Data and Analytics (HQ)

100+ Downloads

Time Period of the Dataset [?]: January 01, 1990-December 31, 2022 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: UNICEF - Health, Nutrition and Sanitation Indicators

Mortality rate age 5-24

CSV
XML

Show 70 other recently updated datasets from UNICEF Data and Analytics (HQ)

India - Subnational Administrative Boundaries

geoBoundaries

14000+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2021 ... More

This dataset updates: Live

This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM1, ADM1, ADM2, ADM3, ADM4, ADM5. 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.

GeoJSON
SHP

Ethiopia - Subnational Administrative Boundaries

OCHA Ethiopia

COD+ 28000+ Downloads

Time Period of the Dataset [?]: November 23, 2021-August 19, 2023 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Ethiopia administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2021 NOTE: See COD-AB caveats about missing features. See COD-PS caveats about data rounding. This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB requires improvements. Sourced from CSA (Central Statistics Agency) + Regional Bureau of Finance and Economic Development (BoFED) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Ethiopia COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 13 feature(s). The normal administrative level 1 feature type is ""Region"". Administrative level 2 contains 92 feature(s). The normal administrative level 2 feature type is ""Zone"". Administrative level 3 contains 1,082 feature(s). The normal administrative level 3 feature type is ""Woreda"". These administrative boundaries became out of date in: 2023 Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Relative Wealth Index

Data for Good at Meta

29000+ Downloads

Time Period of the Dataset [?]: April 01, 2021-February 17, 2023 ... More

This dataset updates: As needed

The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/

CSV

Yemen - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

1200+ Downloads

Time Period of the Dataset [?]: September 22, 2024-March 21, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Yemen. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

CSV

Show 87 other recently updated datasets from Internal Displacement Monitoring Centre (IDMC)

Ukraine - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 13000+ Downloads

Time Period of the Dataset [?]: January 01, 2024-January 31, 2025 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

The actual boundaries were most recently adjusted in: January 2025. Boundary information source: State Scientific Production Enterprise “Kartographia”. Contributor: OCHA Field Information Services Section (FISS). COD-AB quality level: cod-enhanced (geometry and attributes verified and standardized) and live services available. Most recent COD-AB review conclusion: The COD-AB does not require any update. An edge-matched (COD-EM) dataset is available COD-EM HDX link: https://data.humdata.org/dataset/cod-em-ukr. OCHA country status: Operational (country office). Most recent COD-AB review date: January 2025. Deepest administrative level: ADM4. COD-PS HDX URL: https://data.humdata.org/dataset/cod-ps-ukr. Live featureserver: https://codgis.itos.uga.edu/arcgis/rest/services/COD_External/UKR_pcode/FeatureServer. Deepest administrative level with complete coverage: ADM3. Administrative level required by humanitarian community: ADM2. Note: The Ukrainian government has not fully implemented its new administrative structure reforms in the Autonomous Republic of Crimea [UA01] and Sevastopol [UA85]. Consequently, 31 ADM4 features within the Sevastopol ADM3 polygon retain P-codes that do not correctly conform to [UA85]. This will be rectified in a COD-AB update once the government has regained control of the Crimean Peninsula. Note: Some administrative feature names were adjusted in a September/October 2024 administratrive feature renaming exercise. See reference table at https://data.humdata.org/dataset/cod-ab-ukr. Note: The Ukraine COD-AB was most recently adjusted in early 2024 - affecting administrative level 3 (hromadas) only. Note: The population statistics common operational dataset (COD-PS-UKR) is only available via special request. See Ukraine - Subnational Population Statistics. Users should use the 'Request Data' button. Note: Limitations of the Ukrainian-to-Russian transliteration method mean that more than one Ukrainian name may be represented by a single Russian feature name. Note: Feature name attribute fields in this dataset incorrectly use 'UA' to represent the Ukrainian language. The correct language code is 'UK'. This will be resolved in 2026. Note: ADM0 is not affected by the September/October 2024 administrative feature renaming exercise. Typical feature type: oblast (region) with three exceptions. P-code format: UAnn. COD-PS compatibility: ADM0, ADM1, ADM2. OCHA region: Europe. Feature count: 27. The ADM1 layer can be linked by P-CODE to the ADM1 Population statistics. Note: Kyiv (city) [UA80] and Sevastopol [UA85] are each a 'city with special status' rather than an 'oblast'. Note: Crimea [UA01] is an 'autonomous republic' rather than an 'oblast'. Note: However, Ukraine Population Statistics are only available on special request. ADMINISTRATIVE LEVEL 4 metadata: Typical feature type: ADM4 features may be of 'city', 'settlement', or 'village' type. However, all 'village' features are currently categorized in the 'ADM4_TYPE' as a 'settlement'. This is expected to be resolved in 2026. P-code format: UAnnnnnnnnnn. Feature count: 29707. COD-PS compatibility: no ADM4 population statistics are available. COD-PS HDX URL: https://data.humdata.org/dataset/cod-ps-ukr. Note: 329 ADM4 features were affected by the September/October 2024 administrative feature renaming excercise. Specific details are provided in the 'ADM4' tab of the 'UKR_Admin234_Renaming_ReferenceTable_20250123.xlsx' reference table available on the HDX dataset Ukraine - Subnational Administrative Boundaries. Note: The COD-AB ADM4 boundary attributes for this COD-AB have not been adjusted. The Ukrainian government has not fully implemented its new administrative structure reforms in the Autonomous Republic of Crimea [UA01] and Sevastopol [UA85]. Consequently, 31 ADM4 features within the Sevastopol ADM3 polygon retain P-codes that do not correctly conform to [UA85]. This will be rectified in a COD-AB update once the government has regained control of the Crimean Peninsula.

Facebook Social Connectedness Index

Data for Good at Meta

31000+ Downloads

Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More

This dataset updates: As needed

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.facebook.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.

Philippine Dengue Cases and Deaths

Cirrolytix

4100+ Downloads

Time Period of the Dataset [?]: January 01, 2016-January 31, 2021 ... More

This dataset updates: As needed

A dataset containing confirmed dengue cases and deaths from the Department of Health-Epidemiology Bureau in the Philippines. Notes: Reported dengue cases includes suspect, probable and confirmed. Deaths were included in the total number of cases.

CSV

South Africa - Subnational Administrative Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD+ 16000+ Downloads

Time Period of the Dataset [?]: December 27, 2018-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

South Africa administrative level 0-4 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about ADM2 - ADM4 nesting ambiguity. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from South African Municipal Demarcation Board Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the South Africa COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 9 feature(s). The normal administrative level 1 feature type is ""Province"". Administrative level 2 contains 52 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 213 feature(s). The normal administrative level 3 feature type is ""Local municipality"". Administrative level 4 contains 4,392 feature(s). The normal administrative level 4 feature type is ""currently not known"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Egypt - Subnational Administrative Boundaries

OCHA Middle East and North Africa (ROMENA)

COD+ 20000+ Downloads

Time Period of the Dataset [?]: August 14, 2017-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Egypt administrative level 0-3 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about one feature name. Age disaggregation unavailable. This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB does not require any update. Sourced from Central Agency for Public Mobilization and Statistics (CAPMAS) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Egypt COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 27 feature(s). The normal administrative level 1 feature type is ""Governorate"". Administrative level 2 contains 365 feature(s). The normal administrative level 2 feature type is ""Region"". Administrative level 3 contains 5,716 feature(s). The normal administrative level 3 feature type is ""currently not known"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Türkiye - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD 600+ Downloads

Time Period of the Dataset [?]: March 30, 2014-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Türkiye administrative level 0-2 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2024 NOTE: This dataset was derived in January 2025 from a version now named 'Türkiye - Subnational Administrative Boundaries - RIMWGE' developed but since neglected by the Regional IM Working Group - Europe. This dataset was modified for compatibility by OCHA FIS. LIVE GEOSERVICES WILL BE UPDATED SHORTLY. This COD-AB was most recently reviewed for accuracy and necessary changes in January 2025. The COD-AB does not require any update. Sourced from General Command of Mapping (obtained by Regional IM Working Group - Europe) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Türkiye COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 81 feature(s). The normal administrative level 1 feature type is 'Province (İl)'. Administrative level 2 contains 973 feature(s). The normal administrative level 2 feature type is 'District (İlçe)'. Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 17, 2025.

XLSX
SHP

Show 2 other recently updated datasets from OCHA Field Information Services Section (FISS)

Nigeria - Subnational Administrative Boundaries

OCHA Nigeria

COD+ 18000+ Downloads

Time Period of the Dataset [?]: October 01, 1996-October 31, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Nigeria administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 1996 NOTE: See COD-PS caveats about uninhabited COD-AB feature. This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from Office for the Surveyor General of the Federation of Nigeria (OSGOF), Ehealth, United Nations Cartographic Section (UNCS) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Nigeria COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 37 feature(s). The normal administrative level 1 feature type is ""State"". Administrative level 2 contains 774 feature(s). The normal administrative level 2 feature type is ""Local Governement Area"". Administrative level 3 contains 714 feature(s). The normal administrative level 3 feature type is ""Ward"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Show 1 other recently updated dataset from OCHA Nigeria

Global Humanitarian Overview 2025

OCHA HQ

400+ Downloads

Time Period of the Dataset [?]: December 04, 2024-February 28, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: OCHA - Global Humanitarian Overview by Year

In 2025, the UN and partner organizations are appealing for nearly $45 billion to assist 185 million people. This Global Humanitarian Overview 2025 is launched on behalf of more than 2000 humanitarian partners. It covers 72 countries through 24 country plans, 9 flash appeals and 9 regional plans. The Global Humanitarian Overview 2025 is being launched at a time when entrenched, violent conflicts and the climate crisis are taking a tremendous toll on lives and livelihoods. In 2024: Four out of five civilian casualties in conflicts worldwide occurred in a countries with a humanitarian plan or appeal. One in five children worldwide lives in or has fled from conflict zones. Four out of five civilian casualties in conflicts worldwide occurred in a countries with a humanitarian plan or appeal. 2024 was the hottest year on record, with global temperatures reaching 1.5ºC warming. Crises are lasting longer, with grim prospects for people impacted. The average duration of a humanitarian appeal/plan is now 10 years. In these settings: The maternal mortality rate is nearly double the global average. Measles vaccinations reach just 64 per cent of children, compared to 84 per cent globally. Primary school completion rates are just 10 per cent, compared with 90 per cent globally. Two things are urgently needed for humanitarians to effectively deliver in 2025: respect for international humanitarian law and accountability for violations, and a fully funded appeal. The Global Humanitarian Overview is a comprehensive assessment of global humanitarian needs, and it provides a snapshot of current and future trends in humanitarian action for large-scale resource mobilization. The GHO is updated every month, with an overview of funding trends and thematic highlights. The full report, interactive content and updated operational data are available in full through "https://humanitarianaction.info"

XLSX
CSV

Uzbekistan - Subnational Administrative Boundaries

OCHA Middle East and North Africa (ROMENA)

COD 8000+ Downloads

Time Period of the Dataset [?]: July 12, 2018-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Uzbekistan administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about sex and age disaggregation and feature name translations. COD-PS to be updated shortly. This COD-AB was most recently reviewed for accuracy and necessary changes in January 2024. The COD-AB does not require any update. Sourced from OCHA Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Uzbekistan COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 14 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 199 feature(s). The normal administrative level 2 feature type is ""currently not known"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Sri Lanka - Subnational Administrative Boundaries

OCHA Regional Office for Asia and the Pacific (ROAP)

COD+ 12000+ Downloads

Time Period of the Dataset [?]: August 02, 2022-March 21, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Sri Lanka administrative level 0-4 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2022 NOTE: COD-AB contains one lake polygon which is not represented int the COD-PS. This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from Survey Department of Sri Lanka (http://www.survey.gov.lk) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Sri Lanka COD-PS. As this is an island country, no edge-matched (COD-EM) version of this COD-AB is required. Please see the COD Portal. Administrative level 1 contains 9 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 25 feature(s). The normal administrative level 2 feature type is ""currently not known"". Administrative level 3 contains 339 feature(s). The normal administrative level 3 feature type is ""currently not known"". Administrative level 4 contains 14,043 feature(s). The normal administrative level 4 feature type is ""currently not known"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Kontur Population: Global Population Density for 400m H3 Hexagons

Kontur

5600+ Downloads

Time Period of the Dataset [?]: March 11, 2020-November 01, 2023 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons

Global Population dataset. Vector H3 hexagons with population counts at 400m resolution. Per-country subsets of Kontur Population can be found here: data.humdata.org/organization/kontur 3km resolution version: data.humdata.org/dataset/kontur-population-dataset-3km 22km resolution version: data.humdata.org/dataset/kontur-population-dataset-22km Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

Geopackage

WorldRiskIndex

Institute for International Law of Peace and Armed Conflict

9400+ Downloads

Time Period of the Dataset [?]: January 01, 2000-September 09, 2024 ... More

This dataset updates: Every year

The WorldRiskIndex is a statistical model that provides an assessment of the latent risk of 193 countries falling victim to a humanitarian disaster caused by extreme natural events and the negative impacts of climate change. Based on peer-reviewed concepts of risk, hazard and vulnerability, it is assumed that disaster risks are not solely shaped by the occurrence, intensity, and duration of extreme natural events, but that social factors, political conditions, and economic structures are equally responsible for whether disasters occur in the context of extreme natural events. Accordingly, both main spheres of disaster risk, exposure and vulnerability, are treated as equals. The WorldRiskIndex was initially developed in 2011 by the United Nations University Institute for Environment and Human Security (UNU-EHS) for Bündnis Entwicklung Hilft as a model with 27 indicators to analytically link and relate the two spheres of disaster risks – exposure to natural hazards such as earthquakes, storms or droughts, and societal capacities to respond to these kinds of events. The methodology of the WorldRiskIndex has been continuously revised and developed by the Institute for International Law of Peace and Armed Conflict (IFHV) since 2018. In 2022, a new, fully revised model of the WorldRiskIndex was published, enabling more accurate analyses by incorporating more than 100 high-quality indicators, new data sources, and more robust statistical methods, thus finally replacing the previously used model.