international aid transparency initiative-iati
[2]
languages
[30]
libya-floods
[16]
literacy
[49]
livelihoods
[437]
logistics
[238]
malaria
[240]
malnutrition
[55]
markets
[150]
maternity
[428]
men
[71]
mental health
[255]
migration
[177]
morocco-earthquake
[13]
mortality
[356]
natural disasters
[73]
needs assessment
[395]
non-food items-nfi
[48]
nutrition
[747]
openstreetmap
[33]
operational capacity
[188]
operational partners
[64]
operational presence
[147]
opt-israel-hostilities
[45]
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
[417]
returnees
[94]
rivers
[433]
roads
[473]
rural
[4]
sahel
[4]
services
[433]
severe acute malnutrition-sam
[32]
severity
[25]
sex and age disaggregated data-sadd
[81]
shelter
[99]
social media data
[10]
socioeconomics
[1169]
stateless persons
[224]
survey
[261]
sustainable development
[239]
sustainable development goals-sdg
[699]
topography
[40]
trade
[462]
transportation
[2188]
urban
[7]
vaccination-immunization
[244]
water sanitation and hygiene-wash
[676]
west africa
[42]
who is doing what and where-3w-4w-5w
[508]
women
[234]
youth
[248]
LessMore
Licenses:
CC BY 3.0 IGO
[178]
Creative Commons Attribution International
[7790]
Creative Commons Attribution Share-Alike
[310]
Creative Commons Attribution Share-Alike
[18]
Creative Commons Attribution for Intergovernmental Organisations
[3011]
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
[3410]
Public Domain
[194]
Public Domain / No Restrictions
[421]
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]
A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Syria. 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.
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.
This dataset shows the timeseries data of total monthly transits and carrying capacity (DWT and DT million) of vessels in the Suez and Panama canals, Bosphorus Strait and the Gulf of Aden from 2016 to date.
UNOSAT code: EQ20240326IDN, GDACS ID: 1420595 This map illustrates satellite-detected surface waters in Jawa Tengah Province, Indonesia, as observed from a Sentinel-1 image acquired on 19 March 2024 at 17:58 local time (10:58 UTC). Within the analysed area of about 4,400 km², a total of about 320 km² of land appears to be flooded, receding of about 70 km² compared to 15 March 2024.
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).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units.
Included indicators are (for each dekad):
10 day NDVI (vim)
NDVI long term average (vim_lta)
10 day NDVI anomaly [%] (viq)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
Overview
The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.
Unit of Measure
Percentages.
Aggregation Method:
The data is aggregated by Urban/Rural/National and Industry Sector
Disclaimer:
This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out.
Version Notes:
COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review
Funding Name, Abbreviation, Role:
The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea.
Other Acknowledgments:
This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative.
Time Periods:
March, 2021
This dataset contains Who, What, and Where(3W) data for the Negros Occidental Province in the Philippines. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level.
Original site: https://fieldmaps.io/data
Uses geoBoundaries exclusively, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
The Risk List enumerates the risks ACAPS analysts have identified. ACAPS analysts conduct daily monitoring and independent analysis of more than 150 countries to support evidence-based decision-making in the humanitarian sector. The information comes from publicly available sources and expert opinions.
Learn more about the ACAPS Risk list: https://www.acaps.org/en/thematics/all-topics/risk-list
Original site: https://fieldmaps.io/data
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Original site: https://fieldmaps.io/data/population
Population statistics in 3 versions, all adjusted to match UN World Population Projection (UN WPP) 2022 totals:
Common Operational Datasets: Default version recommended for use. Mixed source data including OCHA / UNFPA sex and age disaggregated data (SADD), filling gaps with Meta / Facebook and WorldPop.
Meta / Facebbook: Data from Meta / Facebook, filling gaps with WorldPop. Contains limited sex and age groups.
WorldPop: Data only from WorldPop. Contains no sex or age groups, only totals.
This layer shows the movement path of 2020 Tropical Cyclone Gati in Somalia. TC Gati originated from the Bay of Bengal and became the strongest ever documented tropical storm to hit Somalia. It made landfall at Ras Hafun (Northeast of Somalia) with maximum sustained winds of 170Km/hr and was classified as a Category 2 storm.
Tropical Cyclone Gati was the strongest storm ever recorded in the northern Indian Ocean and wreaked unimaginable damage on people and property. GATI left a trail of destruction across Bari and Sanaag regions of Somalia, disproportionately affecting coastal communities.
Authorities estimated about 180,000 people (30,000 households) to have been affected in Puntland Regional State, with 42,000 people (7,000 households) displaced and at least eight people killed and unknown number injured, with considerable damage reported to infrastructure, livelihoods, and social services (telecommunication, electricity, roads, schools).
Resultant flooding burst the sewerage system and increased the risk of diseases among the affected population. The worst hit areas were Baargaal, Foocaar, Garduush, Hurdiya, and Xaafuun, Foocaar, Garduush and Garan Hoose were worst hit villages in the Indian Ocean, Bosaso / Qandala in the Gulf of Aden, and Baarmadowe.
Key Figures extracted from OCHA daily Situation Reports.
On 6 February as a 7.7 magnitude earthquake struck southern Türkiye at 4:17 am. This is Türkiye's most powerful earthquake recorded since 1939. At least 78 aftershocks have been reported followed by a second earthquake of 7.5 magnitude at 13:24 with the epicenter in Ekinozu/Kahramanmaras province. Tremors were reportedly felt in Gaziantep and neighboring provinces. The Government of Türkiye has since issued a Level 4 alarm, calling for international assistance.
The COD Services API is a companion to the HDX API, which focuses on COD, theme organization, metadata, gazetteer output and lookup functionality. For instance, an external application may access the API to search for a place for humanitarian context work and show administrative units or population statistics based on UN OCHA FIS and UN FPA sources.
COD Services API - Usage and Documentation
https://apps.itos.uga.edu/CODV2API
Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities since 2014.
What is included in Missing Migrants Project data?
Missing Migrants Project counts migrants who have died at the external borders of states, or in the process of migration towards an international destination, regardless of their legal status. The Project records only those migrants who die during their journey to a country different from their country of residence.
Missing Migrants Project data include the deaths of migrants who die in transportation accidents, shipwrecks, violent attacks, or due to medical complications during their journeys. It also includes the number of corpses found at border crossings that are categorized as the bodies of migrants, on the basis of belongings and/or the characteristics of the death. For instance, a death of an unidentified person might be included if the decedent is found without any identifying documentation in an area known to be on a migration route. Deaths during migration may also be identified based on the cause of death, especially if is related to trafficking, smuggling, or means of travel such as on top of a train, in the back of a cargo truck, as a stowaway on a plane, in unseaworthy boats, or crossing a border fence. While the location and cause of death can provide strong evidence that an unidentified decedent should be included in Missing Migrants Project data, this should always be evaluated in conjunction with migration history and trends.
What is excluded?
The count excludes deaths that occur in immigration detention facilities or after deportation to a migrant’s homeland, as well as deaths more loosely connected with migrants´ irregular status, such as those resulting from labour exploitation. Migrants who die or go missing after they are established in a new home are also not included in the data, so deaths in refugee camps or housing are excluded. The deaths of internally displaced persons who die within their country of origin are also excluded. There remains a significant gap in knowledge and data on such deaths. Data and knowledge of the risks and vulnerabilities faced by migrants in destination countries, including death, should not be neglected, but rather tracked as a distinct category.
The dataset captures weekly progress updates from UN agencies involved in implementing the Central Emergency Response Fund's (CERF) US$ 15 million Early Action allocation to mitigate the impacts of expected severe floods in Unity State during the 2022 rainy season
This dataset contains World Bank COVID-19 Vaccine financing support, the Gavi COVID-19 Delivery Support (early access), and the GAVI CDS (early access) Disbursed for selected countries.