occupied Palestinian territory-Israel Hostilities

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. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

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 3 May 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, and 31 March - 1 April 2024. According to satellite imagery analysis, UNOSAT identified 36,591 destroyed structures, 16,513 severely damaged structures, 47,368 moderately damaged structures, and 36,825 possibly damaged structures for a total of 137,297 structures. These correspond to around 55% of the total structures in the Gaza Strip and a total of 135,142 estimated damaged housing units. The governorates of Deir Al-Balah and Gaza have experienced the highest rise in damage compared to the 1 April 2024 analysis, with 2,613 new structures damaged in Deir Al-Balah and 2,368 in Gaza. Within Deir Al-Balah, An Nuseirat municipality had the highest number of newly damaged structures, totaling 1,216. This is a preliminary analysis and has not yet been validated in the field.

This dataset contains agency- and open source events published in the Attacks on Health Care News Brief and included in the Safeguarding Health in Conflict Coalition (SHCC) annual reporting on violence against or obstruction of health care. This page is managed by SHCC member Insecurity Insight. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This dataset shows the indicators at different education levels and the education status in Gaza Strip up to 2023.

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in agricultural 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 April 2017 and 2024, performing a Normalised 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 substantial decline in the health and density of crops in January 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 permanent crop fields, arable land, and fallow lands. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 178 sq. km, accounting for approximately 49% of the total area of the Gaza Strip, following an extensive land-cover analysis. Compared to the average of the previous seven years, approximately 45% of the permanent crop fields and arable land in the Gaza Strip exhibited a significant decline in health and density in April 2024. In a comprehensive evaluation, it was found that there has been a 33% increase in the proportion of agricultural land that has been damaged since the previous analysis conducted in January 2024. Additionally, the analysis indicates a notable rise in the destruction of the permanent crop fields and arable land in the Khan Yunis Governorate, with a 30-percentage point increase compared to the previous January 2024 analysis. Moreover, there has been a significant escalation in the destruction of agricultural land within the Rafah Governorate, with the percentage rising from 11% in January 2024 to 43% in April 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 agricultural areas in a stretch of land 1 km from the Armistice Demarcation Line in the Gaza Strip, Occupied Palestinian Territory. UNOSAT conducted an analysis utilising Sentinel-2 satellite imagery captured between January 2018 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal classification to identify notable changes in agricultural areas during that time frame. 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 permanent crop fields, arable land, and fallow lands. UNOSAT analysis and statistics presented show the damaged agricultural area in sq km, percentage and percentage change for only the area contained within the zone. Statistical analysis shows an increase on the percentage of damaged agricultural land in October 2023 from 5.36% to 33.13% of damaged land in February 2024.

UNOSAT code: CE20231007PSE This map illustrates a satellite-imagery based comprehensive damage assessment (CDA) to detect damage and destruction within a stretch of land 1 km from the Armistice Demarcation Line in the Gaza Strip, Occupied Palestinian Territory. This analysis includes a CDA from several dates, including 15 October 2023, 7 November 2023, 26 November 2023, 7 January 2024 and 29 February 2024. Statistical analysis shows the rapid increase in damaged and destroyed buildings within the zone, from 15% to 90% between October 2023 and February 2024. Satellite-derived analysis undertaken on 29 February 2024 on 4042 buildings within the zone, shows 3033 destroyed, 593 damaged (severe or moderately) and 416 with no visible damage.

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 29 February 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, and 6-7 January 2024. According to satellite imagery analysis, UNOSAT identified 31,198 destroyed structures, 16,908 severely damaged structures and 40,762 moderately damaged structures, for a total of 88,868 structures. These correspond to around 35% of the total structures in the Gaza Strip and a total of 121,400 estimated damaged housing units. The governorates of Khan Yunis and Gaza have experienced the highest rise in damage, with 12,279 new structures damaged in Khan Yunis and 2,010 in Gaza. Khan Yunis City had the highest number of newly destroyed structures, with 6,663 in total. This is a preliminary analysis and has not yet been validated in the field.

IDPs due to the escalation of hostilities between Gaza and Israel since 7 October 2023 and demolition and displacement in the West Bank since 2009.

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 and 7 January 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, and 26 November 2023. According to satellite imagery analysis, UNOSAT identified 22,130 destroyed structures, 14,066 severely damaged structures and 32,950 moderately damaged structures, for a total of 69,146 structures. These correspond to around 30% of the total structures in the Gaza Strip and a total of 93,800 estimated damaged housing units. The governorates of Gaza and Khan Yunis have experienced the highest rise in damage, with 10,319 new structures damaged in Gaza and 11,893 in Khan Yunis. Gaza City had the highest number of newly destroyed structures, with 8,926 in total. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in agricultural 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 January 2018 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal classification to identify notable changes taking place in agricultural areas during that time frame. The methodology evaluated the damage as a substantial decline in the health and density of crops in January 2024, in comparison to the preceding six seasons spanning from 2018 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 permanent crop fields, arable land, and fallow lands. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 178 sq. km, accounting for approximately 49% of the total area of Gaza, following an extensive land cover analysis. Compared to the average of the previous six years, approximately 34% of the permanent crop fields and arable land in the Gaza Strip exhibited a significant decline in health and density in January 2024. Crop analysis shows that 21% of the arable land has been damaged. Furthermore, the analysis shows that there has been a significant increase in damage to the permanent crop fields and arable land in the Deir al-Balah Governorate, with around 56% of its agricultural land being impacted. Additionally, there has been an increase in agricultural land damage in the Khan Yunis Governorate, rising from 3% to 14% between imagery collected in December 2023 and January 2024. This is a preliminary analysis and has not yet been validated in the field.

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 prioritization tool is designed to streamline and optimize the delivery of humanitarian aid to Gaza, addressing critical needs promptly, transparently, and in a coordinated manner. It serves as a vital instrument in ensuring that aid reaches those who need it most, contributing to the alleviation of suffering and the restoration of basic necessities in the region.

State of Palestine - Health Facilities (Gaza Strip and West Bank )

State of Palestine population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

SPECIAL NOTE: The geoservices for this dataset do not yet have the lines modification described below. (The shapefiles and geodatabase do.) They will be updated in the week of 2023_10_22. The lines layer in this database facilitate conformity to the UN Geocarto cartographic rules. The following 'admLevel' lines may be used to control the required specific symbology: admLevel 88: (optional) no man's land limit admLevel 85: border between Gaza Strip and Israel admLevel 88: border between West Bank and Israel admLevel 99: shoreline (Gaza Strip, Dead Sea) admLevel 0: conventional international border (Egypt) admLevel 2: governorate borders Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID These boundaries are suitable for database or GIS linkage to the State of Palestine - Subnational Population Statistics tables.

This dataset organizes data on closures, crossing points and buffer zones.

This dataset contains closed and access restricted areas in Gaza Strip.

This table contains subnational multidimensional poverty trends 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).

State of Palestine administrative level 0-1 sex and age disaggregated 2023 population statistics REFERENCE YEAR: 2023 These tables are suitable for database or GIS linkage to the State of Palestine - Subnational Administrative Boundaries.

Includes ports, airports and international crossings in Palestine with at borders with Egypt and Jordan

Road network in Gaza and West Bank. Gaza Roads from PA MOP, West Bank roads from JRC, updated by OCHA.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

Crossing points into Gaza Strip and from West Bank to Jordan.

Palestinian Communities in the West Bank and the Gaza Strip