Unosat gaza strip escalation of hostilities Iom dtm baseline assessment Humanitarian Datasets | Find Crisis Data

South Sudan Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

3100+ Downloads

Time Period of the Dataset [?]: April 30, 2018-February 28, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains information on IDPs and returnees at the subnational level.

XLSX

Ukraine Displacement Data - Baseline Assessment - Hromada level [IOM DTM]...

International Organization for Migration (IOM)

20+ Downloads

Time Period of the Dataset [?]: February 24, 2022-December 31, 2024 ... More

This data is by request only

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The Registered IDP Area Baseline Assessment provides regular data on the number and geographic location of officially registered internally displaced people (IDPs). The data collected for the Area Baseline Assessment Round 39 reflects the officially registered internally displaced population (IDP) displaced since 24 February 2022, as of 31 December 2024, across 23 oblasts and Kyiv City, as recorded by IOM.

Request access

Cameroon Displacement - [IDPs, Returnees, Refugees] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

3800+ Downloads

Time Period of the Dataset [?]: November 10, 2015-June 30, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs, Returnees and Refugees at sub national level with information on IDPs in camps and host communities. IOM set up and rolled out the first round of the DTM in November 2015 with the objective of providing regular, accurate and updated information on displaced populations within the Far North region of Cameroon to better support the response of the Government of Cameroon and the humanitarian community.

XLSX

Burundi Displacement - [IDPs] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

9500+ Downloads

Time Period of the Dataset [?]: January 31, 2016-November 28, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs individuals and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation. The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs. The dataset includes returnees from abroad who are still displaced in the country. They are categorized as IDPs due to their continued displacement within the country.

XLSX
CSV

Libya Migration Data - [Migrants] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

2100+ Downloads

Time Period of the Dataset [?]: August 01, 2023-December 31, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains number of migrants in Libya at sub national level. The dataset also contains nationality of the migrants and their needs.

XLSX

Ukraine Displacement Data - Baseline Assessment - Raion level [IOM DTM]

International Organization for Migration (IOM)

4100+ Downloads

Time Period of the Dataset [?]: February 24, 2022-December 31, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.

XLSX

DRC Displacement Data - North Kivu Province - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

900+ Downloads

Time Period of the Dataset [?]: March 15, 2021-August 20, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains number of people displaced and returnees at village level in North Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.

XLSX

Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

7200+ Downloads

Time Period of the Dataset [?]: December 31, 2017-September 30, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements. The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin.

XLSX

Haiti - Displacement - [IDPs] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

1000+ Downloads

Time Period of the Dataset [?]: October 15, 2021-December 30, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains number of IDPs and Households at quartier level.

XLSX

Mozambique Displacement Data - Baseline Assessment - Northern Mozambique...

International Organization for Migration (IOM)

1000+ Downloads

Time Period of the Dataset [?]: February 01, 2022-June 26, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The increase of security incidents in northern Mozambique since 2017 resulted in population displacement as well as subsequent humanitarian needs in virtually every humanitarian sector. To better understand the scope of displacement and needs of displaced populations, and in light of the intensification of the situation, the International Organization for Migration (IOM) activated its Displacement Tracking Matrix (DTM) in the Cabo Delgado province in February 2019.

XLSX

Somalia Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

1400+ Downloads

Time Period of the Dataset [?]: February 01, 2020-September 19, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs, Returnees and host community at sub-national level.

XLSX

Nigeria Displacement Data - North Central & West Zones - Baseline Assessment...

International Organization for Migration (IOM)

700+ Downloads

Time Period of the Dataset [?]: June 21, 2019-December 31, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The datasets cover the period of 21 June - 30 December and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.

XLSX

DRC Displacement Data - Ituri Province - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

1200+ Downloads

Time Period of the Dataset [?]: October 01, 2018-August 22, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The data collection exercise conducted in the villages of Aru, Djugu, Irumu, Mahagi and Mambasa territories. It contains number of IDPs, returnees and theri needs.

XLSX

Central African Republic: Displacement Data - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

3700+ Downloads

Time Period of the Dataset [?]: November 30, 2017-September 09, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment. Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.

XLSX
XLS

DRC Displacement Data - South Kivu Province - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

1200+ Downloads

Time Period of the Dataset [?]: March 02, 2018-August 16, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains number of people displaced and returnees at village level in South Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.

XLSX

DRC Displacement Data - Tanganyika Province - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

1100+ Downloads

Time Period of the Dataset [?]: August 03, 2021-August 09, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains number of people displaced and returnees at village level in Tanganyika province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.

XLSX

Burundi Displacement Data - Multi Sectoral Location Assessment [IOM DTM]

International Organization for Migration (IOM)

300+ Downloads

Time Period of the Dataset [?]: April 11, 2022-May 17, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset aims to collect data on population presence, living conditions and needs in a particular displacement location or community.

XLSX

Afghanistan Displacement Data - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

6700+ Downloads

Time Period of the Dataset [?]: February 01, 2017-February 29, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs, returnees at sub national level.

XLSX

UNOSAT Gaza Strip Comprehensive Damage Assessment - January 2024

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: February 01, 2024-February 01, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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.

Geodatabase

UNOSAT Gaza Strip Agricultural Damage Assessment - January 2024

United Nations Satellite Centre (UNOSAT)

80+ Downloads

Time Period of the Dataset [?]: February 01, 2024-February 01, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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.

Geodatabase

UNOSAT Gaza Strip Agricultural Damage Assessment - December 2023

United Nations Satellite Centre (UNOSAT)

60+ Downloads

Time Period of the Dataset [?]: December 13, 2023-December 13, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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 December 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 December 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 activity, 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 18% 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 39% of its land being impacted. Additionally, there has been an increase in agricultural land damage in the Gaza Governorate, rising from 17% to 27% between imagery collected on November 2023 and December 2023. This is a preliminary analysis and has not yet been validated in the field.

Geodatabase

UNOSAT Gaza Strip Comprehensive Damage Assessment - 26 November 2023

United Nations Satellite Centre (UNOSAT)

80+ Downloads

Time Period of the Dataset [?]: December 12, 2023-December 12, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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 an image collected on 26 November 2023 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, and 7 November 2023. According to satellite imagery analysis, UNOSAT identified 10,049 destroyed structures, 8,243 severely damaged structures and 19,087 moderately damaged structures, for a total of 37,379 structures. This corresponds to around 18% of the total structures in the Gaza Strip. The governorates of North Gaza and Gaza have experienced the highest rise in damage, with 3,806 new structures damaged in North Gaza and 6,243 in Gaza. Gaza City had the highest number of newly destroyed structures, with 2,397 in total. This is a preliminary analysis and has not yet been validated in the field.

Geodatabase

UNOSAT Gaza Strip Agricultural Damage Assessment - November 2023

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: November 17, 2023-November 17, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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.

Geodatabase

UNOSAT Gaza Strip Comprehensive Damage Assessment - 7 November 2023

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: November 13, 2023-November 13, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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.

Geodatabase

UNOSAT Deir Al-Balah Comprehensive Damage Assessment - Gaza Strip - 21 October 2023

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: October 25, 2023-October 25, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

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.

Geodatabase