FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
The WFP Global Market Monitor monitors food prices in markets across a range of countries globally. The resources are updated every other week, with country data updating based on when data is received from country offices.
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains.
The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access.
As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO).
At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district).
Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA).
In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset.
For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/
View the column descriptions here.
Metadata available here.
Questionnaires used for data collection available here.
Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
El Salvador administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the El Salvador- Subnational Population Statistics administrative level 0-3 tables using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
El Salvador administrative level 0-2 sex and age disaggregated 2024 projected population statistics
REFERENCE YEAR: 2024
These tables are suitable for database or GIS linkage to the El Salvador - Subnational Administrative Boundaries using the ADM0_PCODE, ADM1_PCODE, ADM2_PCODE, and ADM3_PCODE fields.
"El Salvador administrative level 0-3 boundaries (COD-AB) dataset.
NOTE: ABOUT THIS UPDATE. This administrative boundary structure was changed in August 2024 to insert a new administrative level between the previous administrative level 1 and level 2 boundaries. The previous level 2 boundaries have become level 3 boundaries. The general administrative structure is now 'departamento' (administrative level 1), 'municiplo' (level 2), and 'distrito' (level 3).
The former caveat about uninhabited administrative features being unrepresented in the COD-PS no longer applies. The COD-PS now contains 'zero population' records for those features.
This COD-AB was most recently reviewed for accuracy and necessary changes in August 2024. The COD-AB requires improvements.
Sourced from www.gadm.org.
Live geoservices 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 El Salvador 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 14 feature(s).
Administrative level 2 contains 48 feature(s).
Administrative level 3 contains 266 feature(s)."
Brazil administrative level 0-2 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Brazil - Subnational Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.
The dataset contains number of people displaced and returnees at village level in North Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
The dataset shows the operational presence of humanitarian partners in response to hurricane Beryl during the hurricane season in the Caribbean that made landfall on July 1st, 2024
A weekly dataset providing the total number of reported civilian targeting events and fatalities broken down by country. Civilian targeting events include violence against civilians events and explosions/remote violence events in which civilians were directly targeted.
Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
A weekly dataset providing the total number of reported political violence events and fatalities broken down by country. Political violence events include ACLED’s battles, violence against civilians, and explosions/remote violence event types, as well as the mob violence sub-event type of the riots event type.
Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
A weekly dataset providing the total number of reported demonstration events broken down by country. Demonstration events include ACLED’s protests and riots event types, with the exception of the mob violence sub-event type of the riots event type.
Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Zimbabwe. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
This dataset provides figures on staff and peacekeeper fatalities in Peacekeeping and Special Political Missions from 1948-Present, based on the receipt of official Notifications of Peacekeeper Casualties (NOTICAS). The dataset specifies details such as casualty mission, casualty nationality and type of incident.
Conflict and disaster population movement (flows) data for Zimbabwe. 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.
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
Eritrea level 0 (national), level 1 (region) and level 2 (district) boundaries
Prepared by OCHA
These boundaries are suitable for database or GIS linkage to the Eritrea - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
The 2024 Common Operational Dataset on Population Statistics (COD-PS) update for Ukraine presents raion-level (ADM-2), oblast-level (ADM-1) and national-level (ADM-0) estimates of population size by sex and standard 5-year demographic age groups. The 2024 COD-PS update revises the 2023 COD-PS update and 2022 COD-PS update produced by UNFPA, by accounting for recent population change due to mobility, mortality and fertility dynamics.
This COD-PS update was prepared by the United Nations Population Fund, UNFPA. This update was prepared in consultation with the Humanitarian Country Team and UN Country Team in Ukraine, as well as national partners including the Institute for Demography and Quality of Life Problems, Ukraine and the State Statistics Service of Ukraine.
The 2024 COD-PS update, like all COD-PS updates, is strictly a humanitarian data product of the United Nations aligned to the "best available humanitarian data standard". It does not represent or, in any way, replace official statistics or official population projections of the Government of Ukraine and it is not intended to meet the international standards of official statistics.
The Ukraine Common Operational Dataset on Population Statistics (COD-PS) 2024 is a restricted dataset, in line with applicable national laws and the host country agreement with the United Nations. It is shared only with the Ukraine Humanitarian Country Team, UN Country Team in Ukraine, and the Government of Ukraine. Additional requests for access to this dataset and the accompanying documentation may be made to the UN Office for the Coordination of Humanitarian Affairs and the United Nations Population Fund via this link. Such requests will be reviewed on a case-by-case basis.
Panama administrative level 0-1 sex and age disaggregated 2021 projected population statistics
Reference year: 2022
These tables are suitable for GIS or database linkage to the Panama - Subnational Administrative Boundaries.
