Data Grid Completeness defines
a set of core data that are essential for preparedness and emergency response.
For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to
hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
Dataset fully matches criteria and is up-to-date
Dataset partially matches criteria and/or is not up-to-date
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.
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 November 2017 and 2023, 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 timeframe. The methodology evaluated the damage as a substantial decline in the health and density of crops in November 2023, in comparison to the preceding six seasons spanning from 2017 to 2022. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle tracking, bombing, shelling, and other conflict-related dynamics. The analysis takes into account the damage that affects both active crop fields, fallow lands, and a multitude of household gardens. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 185 sq. km, accounting for approximately 50% of the total area of Gaza. Compared to the average of the previous 6 years, approximately 15% of the arable land in the Gaza Strip has exhibited a significant decline in health and density in November 2023. Furthermore, the analysis shows that there has been a significant increase in damage to the arable land in the North Gaza Governorate, with around 35% of its land being impacted. This damage to agricultural land has expanded by 4.3 sq. km, which is a 13% increase compared to the previous analysis with imagery collected in October 2023. Additionally, there has been an increase in agricultural land damage in the Gaza City Governorate, rising from 7% to 17% between imagery collected on October 2023 and November 2023. 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 damage assessment to detect damage and destruction to structures within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on an image collected on 7 November 2023 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, and 15 October 2023. According to satellite imagery analysis, UNOSAT identified 6,583 destroyed structures, 6,062 severely damaged structures and 12,405 moderately damaged structures, for a total of 25,050 structures. This corresponds to approximately 10 per cent of the total structures in the Gaza Strip. The areas most affected by damage are the governorates of North Gaza and Gaza. Between 15 October and 7 November, there was an increase in the number of damaged buildings by approximately 137 per cent. From 15 October to 7 November 2023, the neighborhood of Al Qaraya al Badawiya al Maslakh in North Gaza has seen a notable increase in damage (see inset 1). This is a preliminary analysis and has not yet been validated in the field.
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.
UNOSAT code CE20231007PSE UNOSAT conducted a satellite-imagery based comprehensive damage assessment to detected damage and destruction to structures within the area of interest in the Deir Al-Balah Governorate, Gaza Strip, using an image collected on 21 October 2023 and compared it to an image collected on 15 October 2023. According to the satellite imagery analysis, UNOSAT identified a total of 197 destroyed structures, 143 severely damaged structures, and 435 moderately damaged structures, for a total of 775 affected structures as of 21 October 2023. This corresponds to less than 2% of the total structures in the Deir Al-Balah Governorate.
The most affected area appears to be the Al Bureij Camp neighborhood, where the number of damaged structures per square kilometer is the highest, followed by the Al Awda neighborhood. Among the newly affected structures, UNOSAT identified a mosque, namely the Al-Salam Mosque, visibly destroyed. Additionally, UNOSAT identified 42 affected road sections, either by impact craters or by debris. This is a preliminary analysis and has not yet been validated in the field.
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.
UNOSAT code CE20231007PS UNOSAT's satellite-detected damage and destruction to buildings within the area of interest in the Gaza Governorate, Gaza Strip, based on an image collected on 15 October 2023 compared to an image collected on 10 October 2023 (partially clouded), and 10 May 2023 shows a total of 533 destroyed structures, 640 severely damaged structures, and 1273 moderately damaged structures, for a total of 2246 affected buildings as of 15 October 2023. The most affected area appears to be the one south of Ash Shuja'iyeh neighborhood (inset 1), with clouds covered on the 10 October 2023 image. Among the new affected structures, UNOSAT identified two school compounds, namely the Elnoor W Alaml School, moderately affected, and the Islamic University of Gaza, previously cloud-covered and now severely damaged. Additionally, UNOSAT identified 45 affected road sections, either by impact craters or by debris. This is a preliminary analysis and has not yet been validated in the field.
UNOSAT code CE20231007PSE UNOSAT's satellite imagery-based damage assessment detected damage and destruction to buildings within the area of interest in the North Gaza Governorate, Gaza Strip, based on an image collected on 15 October 2023 when compared to images collected on 1 May 2023, 10 May 2023, and 18 September 2023. According to satellite imagery analysis, UNOSAT identified 927 destroyed structure, 1216 severely damaged structures and 3121 moderately damaged structures, for a total of 5264 buildings. This corresponds to around 15% of the total structures in the North Gaza Governorate. One of the most affected area appears to be the one between Al Farata and Hai Abu Ghazala neighborhoods (inset 1). Among the affected structures, UNOSAT identified one school compound, namely the Beit Hanoun school, which eastern wing got severely damaged. Additionally, UNOSAT identified 271 affected road sections, either by impact craters or by debris. This is a preliminary analysis and has not yet been validated in the field.
UNOSAT code CE20231007PSE This map illustrates a satellite-detected damage and destruction to buildings within the area of interest in the Gaza Governorate, Gaza Strip, based on an image collected on 10 October 2023 (partially clouded) when compared to an image collected on 10 May 2023. According to satellite imagery analysis, UNOSAT identified 228 destroyed structure, 148 severely damaged structures and 365 moderately damaged structures, for a total of 741 buildings. The two most affected areas appear to be between Southern Remal and As Sabra neighborhoods (inset 1), and on the western outskirt of the Old City, north of At Turukman neighborhood. Among the affected structures, UNOSAT identified one school compound, namely the Omar Bin Abd Alaz school, visibly destroyed (see inset 2). This is a preliminary analysis and has not yet been validated in the field.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/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.
"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.
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).
This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
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.
State of Palestine administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
The borders of the State of Palestine are disputed.
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
The dataset contains the full data collected in the field related to energy access. The assessment used the "Beyond Connection" methodology, developed by ESMAP (World Bank).
The full sample is based on 210 interviews at the household level in 68 different communities within the Hebron Governorate. All the households are in Area C.
As soon the data are fully analyzed, an open version will be released.
Percentage of children under age 5 by nutritional status according to three anthropometric indices: weight for age, height for age, and weight for height, Palestine, 2019-2020
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Palestine at Admin 2.
This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.