UNOSAT code: TC20240328MDG, GDACS ID: 1001057 This map illustrates satellite-detected water extent in Sambava and Vohemar Districts, Sava Region, Madagascar as observed from a TanDEM-X satellite image acquired on 01 April 2024 at 18:09 local time (15:09 UTC). Within the analysed area of about 850 km², a total of about 10 km² of lands appear to be affected with flood waters.
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.
Earthquake hazard sets at 150 arcsec (ca. 4km) resolution, available for the entire globe and per country. Available as historic records from the USGS epicentres database and as a simple probabilistic sampling starting from the historic earthquake catalog, with 9 synthetic events per historic record. The presented data are maximum intensity on the Modified Mercalli intensity scale (MMI) over the historic record 1905-2017.
Projects proposed, in progress, or completed as part of the annual Guatemala Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Important: some projects in Guatemala might be missing, and others might not apply specifically to Guatemala. See Caveats under the Metadata tab.
This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days.
Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532
Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
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.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
30+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
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)
Conflict and disaster population movement (flows) data for Egypt. 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 (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.
A table listing the targets and achievements of currently active peacekeeping missions/operations of the UN based on set indicators.
The data is extracted from the Secretary General's Budget Performance Report of each mission/operation published annually, and is used to build a dashboard that summarizes the performance of each mission/operation. The dashboard is published on the Department of Operational Support's (DOS) website.
Mauritania administrative level 0-3 edge-matched gazetteer and boundary files.
Live edge-matched boundary geoservices for Mauritania and other edge-matched locations are available in this "COD_External_Edgematch" catalogue.
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 Mauritania - Subnational Population Statistics 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.
Mauritania administrative level 0-3 shapefiles
Live administrative boundary geoservices for Mauritania and other enhanced COD-AB locations are available in this "COD_External" catalogue. Live administrative boundary geoservices of the previous version of this COD-AB are available in this "V00_0" catalogue. Older live administrative boundary geoservices are available in this "V1_00" catalogue.
The associated Mauritania - Subnational Population Statistics dataset has NOT been updated and is no longer suitable for linkage.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. ITOS processing updated 2021_12_22. The ITOS live geoservices have not yet been updated to reflect the new boundary updates.
A high-resolution asset exposure dataset produced using 'lit population' (LitPop), a globally consistent methodology to disaggregate asset value data proportional to a combination of nightlight intensity and geographical population data. Exposure data for population, asset values and productive capital at 4km spatial resolution globally, consistent across country borders. The dataset offers value for manifold use cases, including globally consistent economic disaster risk assessments and climate change adaptation studies, especially for larger regions, yet at considerably high resolution. The Climada Data API can be used to explore the full, original datasets.
Projects proposed, in progress, or completed as part of the annual Burundi Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Important: some projects in Burundi might be missing, and others might not apply specifically to Burundi. See Caveats under the Metadata tab.
Point layer that represents populated places locations (e.g., capitals/ cities/ towns) and of administrative units (Level 1, 2 and 3 depending on availability).
This layer shows the different administrative boundaries (levels: 2) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.
This dataset provides information on the approved number of personnel involved in United Nations peacekeeping missions on an annual basis. The data spans a specific time period and includes details about the deployment of personnel across missions since 2010.
Methodology: An artificial intelligence model was trained for extracting the table "Human resources incumbency performance" and accompanying details from the Secretary-General’s performance reports. Subsequently, the output underwent simple random sampling for validation.
The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors:
Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
This product is funded by the CDCS-MEAE.
Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement.
Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any
kind is implied or possible where projections of future conditions are attempted.
This dashboard highlights the living situation in Syria by showing the prices of basic market items.
How to use this product:
The first three pages track price change chronologically on governorate level, with the ability to compare between them by choosing one or more.
The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
This product is funded by the CDCS-MEAE.
Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement.
Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any
kind is implied or possible where projections of future conditions are attempted.
This dashboard monitors the population movements in Northern Syria in non-governmental areas. The data is collected from # communities and # IDP camps in the targeted area by the ACU field enumerators and triangulated with various sources like the local councils and humanitarian organizations to ensure the maximum level of accuracy. The baseline was set by cross-checking the population numbers from ACU Population Monitoring and HNAP statistics.
RESIDENT POPULATION: Resident populations are individuals or households living in a location and are neither displaced nor newly returned (in the current calendar year).
INTERNALLY DISPLACED PERSONS (IDPs): individuals who have been forced to flee their location of origin to another location within Syria for at least one month.
RETURNEES: are individuals who returned to their community of origin within the calendar year and have stayed for at least one month after having previously fled for at least one month.
Newly INTERNALLY DISPLACED PERSONS (N-IDPs): individuals who have been forced to flee their location of origin to another location within Syria, and at the time of the data collection, their stay in the displacement sites did not exceed one month.
Departures: individuals who were not in their original locations during the data collection period and had left their locations for about a month.
