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 Nigeria. They also provide information on incidents of conflict related sexual violence (CRSV). 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
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education and health care services in Cameroon. 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
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
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 Ukraine.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
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
Data containing details on locations of security incidents and, in particular, attacks on health facilities is available on request here.
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education and health care services in Afghanistan. They also provide information on incidents of 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
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education and health care services in Burkina Faso. 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
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
In Peru, according to official sources, between January and September of 2017, in the border crossing CEBAF Tumbes, more than 103,000 Venezuelan were registered entering, of which, more than 64% entered after June. Likewise, in the PCF of Santa Rosa, on the southern border, a total of 47,342 Venezuelan exits to Chile were registered up to October of this year.
The current increase in migratory flows imposes the need to carry out an exhaustive monitoring of it in order to promote an orderly migration, safe and in human conditions - hand in hand with the stakeholders-. Thus, there is a need to know a profile of the Venezuelan migrant, the characteristics and dynamics of the migratory route.
The DTM Round 1 had questions related to Profile of Venezuelan migrant, Migratory status, Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields.
Mali administrative level 0-3 boundaries (COD-AB) dataset.
NOTE: Two COD-PS records are not represented in the COD-AB. The OCHA Regional Office is consulting with the DoDMA about new boundaries.
This COD-AB was most recently reviewed for accuracy and necessary changes 5 month(s) ago. The determination was: The COD-AB requires updates due to changes in the location (country) administrative structure.
Sourced from DNCT - Direction Nationale des Collectivités Territoriales.
Live geoservices are available. 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 Mali COD-PS table(s) using the XX_PCODE, field(s).
An edge-matched (COD-EM) version of this COD-AB is available.
Please see COD Portal: https://cod.unocha.org/
Administrative level 1 contains 10 features.
Administrative level 2 contains 53 features.
Administrative level 3 contains 701 features.
In response to the Somalia’s severe drought beginning in November 2021, DTM Somalia launched an Emergency Trends Tracking (ETT) tool first in Gedo and Bay regions in 2022, and subsequently in Hiraan, Banadir and Middle Shabelle regions in 2023 to monitor drought related displacement trends and hotspots in support of operational planning. However, during the first half of 2023, conflict and flooding displacements have been significant. Therefore, DTM restructured its ETT tool to capture multi-shock displacements (drought, flood, conflict and other) from October 2023. ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance.
This Ukraine administrative level 0-4 enhanced gazetteer contains all available useful attribute information for every current Ukrainian administrative feature. It is compatible with the gazetteer provided in the Ukraine - Subnational Administrative Boundaries dataset, the Ukraine - Subnational Population Statistics dataset, and the Ukraine - Subnational Edge-matched Administrative Boundaries dataset. However, it extends that gazetteer with the following information (for each administrative level, as appropriate). (Please note that the spreadsheet contains a table of the field names.)
POLYGON PARTS - the number of individual polygons comprising each administrative feature
ADMx_COUNT - the number of administrative features in each lower administrative level per administrative feature
ORIENTATION - the recommended cartographic neatline orientation based on the ratio of the X and Y extent
ADMx_RP_LON / LAT representative point latitude / longitude derived by QGIS “Pole of inaccessibility” tool
ADMx_CAPITAL 'Y' if the (ADM4 only) feature is an ADM0, 1, 2, or 3 capital
FAO P-CODE
FAO -EN name
UNICEF P-CODE
UNICEF EN name
CODETOPO legacy Ukrainian administrative feature code
ADMx_TYPE_EN, ADMx_TYPE_UA administrative feature type
KOATUU legacy Ukrainian administrative feature code
Minregion legacy Ukrainian administrative feature code
Projects proposed, in progress, or completed as part of the annual Sudan Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Important: some projects in Sudan might be missing, and others might not apply specifically to Sudan. See Caveats under the Metadata tab.
This dataset shows the distribution, number of beds, infrastructure and operational status of Ministry of Health hospitals according to governorates. The data was collected by the Directorate of planning and international cooperation.
Data provides the Humanitarian Country team's shared understanding of the crisis, including the most pressing humanitarian needs, and reflects its joint humanitarian response planning.
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
Projects proposed, in progress, or completed as part of the annual Honduras Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Important: some projects in Honduras might be missing, and others might not apply specifically to Honduras. See Caveats under the Metadata tab.
Country border crossing points. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.
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.
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.
Original site: https://fieldmaps.io/data/adm0
International boundaries in 3 versions using US DoS LSIB for boundaries and U.S. Geological Survey for coastline data.
International: Balanced world view for use by international non-governmental organizations. Disputed areas follow recommended representation used by the UN Clear Map. UN agencies should use official layers at the UN Geospatial Hub.
All: Conservative world view that dissagregates all disputed areas. Useful if applying customized area aggregations.
USA: Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
Original site: https://fieldmaps.io/data/adm0
International boundaries in 3 versions using US DoS LSIB for boundaries and OpenStreetMap for coastline data.
International: Balanced world view for use by international non-governmental organizations. Disputed areas follow recommended representation used by the UN Clear Map. UN agencies should use official layers at the UN Geospatial Hub.
All: Conservative world view that dissagregates all disputed areas. Useful if applying customized area aggregations.
USA: Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
The geodatabase contains boundaries for the national, first-, second-, third-, and fourth-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.
The tabular data contain total population for 2017 (census), as well as five-year age group and sex, and information relating to households, housing units, amenities, nationality, religion, language, information and communication technology, livestock, and agriculture.
Evolution over time of basic food prices in Guatemala, Nicaragua and Honduras expressed in US dollars (USD) according to different sources of information.
For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
Database containing information related to precipitation indices useful for analysing and comparing variations in precipitation over time and in different geographical regions and indices used in the analysis of vegetation and crops to monitor their activity and detect their presence in the territory. Key variables: Atmospherically Resistant Vegetation Index (ARVI), Normalized Difference Vegetation (NDVI), Enhanced Vegetation Index (EVI) and Structure Insensitive Pigment Index (SIPI) for rainfall information and Standardized Precipitation Index (SPI1, SPI3, SPI6, SPI9 and SPI12) for vegetation information. The indicators between SPI1 - SPI3 refer to short time periods (indicator for immediate impacts) while SPI3 - SPI12 is for more medium-term impact measurements. Each vegetation index is based on a set of data that can be collected through remote sensing, such as satellite imagery, and is designed to measure different vegetation and crop characteristics. The data are categorised by country, department and municipality and by year and month. The indices refer to the monthly average. Vegetation and precipitation data have been produced and transformed by GIS4Tech.
For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform: https://predisan.gis4tech.com/ca4