international aid transparency initiative-iati
[2]
languages
[30]
libya-floods
[22]
literacy
[49]
livelihoods
[412]
logistics
[236]
malaria
[240]
malnutrition
[54]
markets
[150]
maternity
[428]
men
[71]
mental health
[255]
migration
[177]
morocco-earthquake
[18]
mortality
[356]
natural disasters
[77]
needs assessment
[395]
non-food items-nfi
[48]
nutrition
[747]
openstreetmap
[33]
operational capacity
[162]
operational partners
[64]
operational presence
[146]
opt-israel-hostilities
[44]
peacekeeping
[93]
people in need-pin
[113]
points of interest-poi
[395]
populated places-settlements
[681]
population
[567]
ports
[407]
poverty
[474]
protection
[310]
railways
[409]
refugee crisis
[75]
refugees
[418]
returnees
[95]
rivers
[433]
roads
[473]
rural
[4]
sahel
[4]
services
[433]
severe acute malnutrition-sam
[31]
severity
[25]
sex and age disaggregated data-sadd
[81]
shelter
[99]
social media data
[10]
socioeconomics
[1169]
stateless persons
[224]
survey
[236]
sustainable development
[239]
sustainable development goals-sdg
[699]
topography
[40]
trade
[461]
transportation
[2187]
urban
[7]
vaccination-immunization
[244]
water sanitation and hygiene-wash
[676]
west africa
[42]
who is doing what and where-3w-4w-5w
[509]
women
[234]
youth
[248]
LessMore
Licenses:
CC BY 3.0 IGO
[178]
Creative Commons Attribution International
[7788]
Creative Commons Attribution Share-Alike
[321]
Creative Commons Attribution Share-Alike
[18]
Creative Commons Attribution for Intergovernmental Organisations
[3010]
Multiple Licenses
[7]
ODC-ODbL
[13]
ODbL
[204]
Open Data Commons Attribution License (ODC-BY)
[27]
Open Data Commons Public Domain Dedication and License (PDDL)
[3]
Open Database License (ODC-ODbL)
[4856]
Other
[3385]
Public Domain
[194]
Public Domain / No Restrictions
[422]
UN-Habitat’s urban datasets are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/
[166]
OpenStreetMap contains roughly 7.9 million buildings in this region. Based on AI-mapped estimates, this is approximately 88% of the total buildings.The average age of data for this region is 2 years ( Last edited 5 days ago ) and 2% buildings were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['building'] IS NOT NULL
Features may have these attributes:
name
name:en
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
source
name:ne
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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.
ACAPS Information Landscape Dataset is a repository of data on the information landscape (or ‘information ecosystem’) in humanitarian settings, tracking the events and trends that affect the way information is handled, circulated and received by people affected in crisis settings. It aims to inform the users about:
information disorders (disinformation, misinformation, malinformation)
vulnerability of specific groups within the context / safety and dignity of people accessing information (stigma trends, hate-speech)
access to information (telecommunication infrastructures damage or limitation, accurate information access, information trust and literacy, digital literacy)
information freedom and security (journalist safety, censorship, digital security, communication shutdown and restrinctions)
The dataset aims to inform humanitarian actors and analyst, on how to handle information and how to approach the information coming from specific context, to provide some useful insights on how to communicate in specific context, both publicly and with population affected, and how the population receives information.
The framework was develop by a partnership between ACAPS and Internews.
The dataset tracks protection events on a global level, using various publicly available sources, including – but not limited to – local, regional, and international operational and non-operational humanitarian organisations; UN agencies; media; and social media platforms. Data is collected and reviewed regularly, and the dataset is continuously updated.
Methodology
ACAPS has identified categories for tracking ‘protection events’, including one-time events, policies, and recurrent violations. Protection events are those that impede people’s meaningful access to humanitarian assistance and their rights, safety, and dignity. These events may impose violence, coercion, or deliberate deprivation. In the table below, we present the list of protection indicators and their scope. The Protection Indicators Monitor Dataset provides information relevant to the main protection threats, vulnerabilities, and coping strategies of affected populations and the existing capacities to address them. It informs decision makers and humanitarian responders about potential protection risks to the affected people and/or their service operations.
This dataset consolidates key indicators of the Ukraine crisis for the regular comparison and analysis of available data and the tracking of changes in the humanitarian situation. Data is sourced from publicly available information, such as reports from international and local humanitarian organisations, international and local media, social media platforms, UN agencies, and official government websites.
The dataset is released monthly, and historical versions are available since January 2022.
Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Samoa in the last 180 days.
Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) 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), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
CSV containing subnational p-codes, their corresponding administrative names, parent p-codes, and reference dates for the world (where available). These are constructed using the COD gazetteers or in the case those are not available, from the COD administrative boundaries.
Monthly DEEP extracts related to the Sudan Situational Analyses conducted by DFS and iMMAP Inc. They are provided by sector and operational environment themes. DOCX files contain the screenshot of the visuals used as DEEP entries. XLSX files contain links to the screenshots stored in the DEEP platform.
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.
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
There are also country datasets
Estimates of the number of acutely malnourished children expected for the year 2024 were made based on the results of the national nutritional and retrospective mortality survey using the SMART methodology carried out between January and March 2023.
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.
This dataset contains violent agency- and open source events affecting refugee and IDP camps published in the Protection in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
La Présence Opérationnelle (3W) est un ensemble de données pour la coordination humanitaire. Il est essentiel de savoir où les organisations humanitaires travaillent, ce qu'elles font et leurs capacités afin d'identifier les lacunes, d'éviter la duplication des efforts et de planifier une future réponse humanitaire. Cet ensemble de données comprend une liste des organisations humanitaires opérant au République Démocratique du Congo au niveau Admin 3.
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in the oPt. They also provide information on incidents of conflict related sexual violence (CRSV) and explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the Safeguarding Health in Conflict Coalition (SHCC)'s annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
This dataset contains agency- and open source events published in the Education in Danger Monthly News Brief. Categorized by country.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
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.
DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
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.
Historical and twenty-first century crop production in tons. Global gridded (4km resolution) crop yield simulations for maize, rice, soybean, and wheat, encompassing an ensemble of transient yield simulation output from eight global gridded crop models driven by bias-corrected output from five global climate models, as facilitated by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP, isimip.org)
A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Belgium. 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.