occupied Palestinian territory-Israel Hostilities

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 index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Palestine. 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 Israel. 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 data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

Conflict and disaster population movement (flows) data for State of Palestine. 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.

OpenStreetMap contains roughly 498.9 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 38% of the total buildings.The average age of data for this region is 2 years ( Last edited 5 months ago ) and 47% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics 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:ar This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap contains roughly 45.9 million km of roads in this region. Based on AI-mapped estimates, this is approximately 76 % of the total road length in the dataset region. The average age of data for the region is 2 years ( Last edited 5 months ago ) and 15% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:ar This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education, food security, 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 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

Food Security and Nutrition Indicators for State of Palestine. Contains data from the FAOSTAT bulk data service.

The dataset provides an overview of the material entry process through Rafah and Kerem Shalom crossings. It gives insight into the progress of supplies and dispatched items as well as the vital manifest details associated with them.

This dataset shows aid worker security incidents in State of Palestine. Annually, the data for the previous year undergoes a verification process. Data for the current year is provisional. For incident descriptions, please download data directly from www.aidworkersecurity.org

This dataset shows the health indicators before and after escalation of hostilities in the Gaza strip.

The dataset contains information on the price of basic commodities in Gaza before and after hostilities.

This dataset shows the Monthly Consumer Price Index Numbers and percent changes by Major Divisions and Groups in the Gaza Strip.

This dataset contains publicly-reported cases of sexual violence by conflict actors, security personnel, and sexual violence violence that targets aid workers, educators, health workers and IDPS/refugees. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This data is a summary of the violations against education in the Gaza Strip and the West Bank.

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 is also a global dataset.

The two-round campaign, being conducted by the Palestinian Ministry of Health (MOH), in collaboration with the World Health Organization (WHO) and United Nations Children Fund (UNICEF), the United Nations Relief and Works Agency for Palestine Refugees (UNRWA) and many partners, aims to provide two drops of nOPV2 to around 640,000 children during each round. The campaign is part of an urgent response to prevent the spread of polio after circulating variant poliovirus type 2 (cVDPV2) was detected in Gaza, after 25 years of being polio-free.

UNOSAT code: CE20231007PSE This map illustrates a satellite imagery-based comprehensive damage assessment to detect damage and affected roads across the Gaza Strip, Occupied Palestinian Territory, based on an image collected on 18 August 2024. According to satellite imagery analysis, UNOSAT identified approximately 1,190km of destroyed roads, 415km of severely affected roads and 1,440km of moderately affected roads. From these statistics, it has been calculated that approximately 68% of the total road network has been damaged (including destroyed and affected roads), across the Gaza Strip. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in cropland areas of the Gaza Strip resulting from the decline in the health and density of crops due to the ongoing conflict. UNOSAT conducted an analysis utilising satellite imagery collected by the Sentinel-2 satellite between August 2017 and 2024, performing a Normalized Difference Vegetation Index (NDVI) analysis as well as a multitemporal classification to identify notable changes taking place in agricultural areas during that timeframe. The methodology evaluated the damage as a decline in the health and density of crops in August 2024, in comparison to the preceding seven seasons spanning from 2017 to 2024. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle activity, bombing, shelling, and other conflict-related dynamics. The analysis includes damage assessment for orchards and other trees, field crops and vegetables. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 150 sq. km, accounting for approximately 41% of the total area of the Gaza Strip, following an extensive land-cover analysis. Compared to the average of the previous seven years, approximately 68% of the permanent crop fields in the Gaza Strip exhibited a significant decline in health and density in August 2024. In a comprehensive evaluation, it was found that there has been a 4% increase in the proportion of cropland that has been damaged since the previous analysis conducted in July 2024. Additionally, the analysis indicates a notable rise in the destruction of the orchards and other trees, field crops and vegetables in the Deir al-Balah Governorate, with a 5-percentage point increase compared to the previous July 2024 analysis. Moreover, there has been a notable escalation in the destruction of cropland within the Gaza Governorate, with the percentage rising from 73% in July 2024 to 75% in August 2024. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in cropland areas of the Gaza Strip resulting from the decline in the health and density of crops due to the ongoing conflict. UNOSAT conducted an analysis utilising satellite imagery collected by the Sentinel-2 satellite between July 2017 and 2024, performing a Normalized Difference Vegetation Index (NDVI) analysis as well as a multitemporal classification to identify notable changes taking place in agricultural areas during that timeframe. The methodology evaluated the damage as a decline in the health and density of crops in July 2024, in comparison to the preceding seven seasons spanning from 2017 to 2024. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle activity, bombing, shelling, and other conflict-related dynamics. The analysis includes damage assessment for orchards and other trees, field crops and vegetables. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 150 sq. km, accounting for approximately 41% of the total area of the Gaza Strip, following an extensive land-cover analysis. Compared to the average of the previous seven years, approximately 65% of the permanent crop fields in the Gaza Strip exhibited a significant decline in health and density in July 2024. In a comprehensive evaluation, it was found that there has been a 4% increase in the proportion of cropland that has been damaged since the previous analysis conducted in June 2024. Additionally, the analysis indicates a notable rise in the destruction of the orchards and other trees, field crops and vegetables in the Gaza Governorate, with a 4-percentage point increase compared to the previous June 2024 analysis. Moreover, there has been a notable escalation in the destruction of cropland within the Rafah Governorate, with the percentage rising from 52% in June 2024 to 55% in July 2024. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: CE20231007PSE This map illustrates a satellite imagery-based comprehensive assessment of damage and destruction to structures within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on images collected on 6 July 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, 26 November 2023, 6-7 January 2024, 29 February 2024, 31 March - 1 April 2024, and 3 May 2024. According to satellite imagery analysis, UNOSAT identified 46,223 destroyed structures, 18,478 severely damaged structures, 55,954 moderately damaged structures, and 35,754 possibly damaged structures for a total of 156,409 structures. These correspond to around 63% of the total structures in the Gaza Strip and a total of 215,137 estimated damaged housing units. The governorates of North Gaza and Rafah have experienced the highest rise in damage compared to the 3 May 2024 analysis, with around 2,300 new structures damaged in North Gaza and around 15,030 in Rafah. Within Rafah, Rafah City municipality had the highest number of newly damaged structures, totalling almost 10,100. This is a preliminary analysis and has not yet been validated in the field.

This dataset showcases funding levels in activated country Clusters/Sectors/Working Groups per FTS