Direct link to ESRI StoryMap https://storymaps.esri.com/stories/2017/the-uprooted/index.htmlStudents will use the ESRI StoryMap to learn important content about migration and refugees. This worksheet accompanies the NCGE webinar on March 29, 2023

The refugee location data (Geo-Refugee) provides information on the geographical locations, population sizes and accommodation types of refugees and people in refugee-like situations throughout Africa. Based on the United Nations High Commissioner for Refugees' Location and Demographic Composition data as well as information contained in supplemental UNHCR resources, Geo-Refugee assigns administrative unit names and geographic coordinates to refugee camps/ centers, and locations hosting dispersed (self-settled) refugees. Geo-Refugee was collected for the purpose of investigating the relationship between refugees and armed conflict, but can be used for a number of refugee-related studies. The original data for the category refugees and people in a refugee-like situation by accommodation type and location name comes directly from the UNHCR. The category refugees includes: "individuals recognized under the 1951 Convention relating to the Status of Refugees and its 1967 Protocol; the 1969 OAU Convention Governing the Specific Aspects of Refugee Problems in Africa; those recognized in accordance with the UNHCR statute; individuals granted complementary forms of protection and those enjoying temporary protection.The category people in a refugee-like situation "is descriptive in nature and includes groups of people who are outside their country of origin and who face protection risks similar to those of refugees, but for whom refugee status has, for practical or other reasons, not been ascertained" (UNHCR http://www.unhcr.org/45c06c662.html). The unit of the data is the first-level administrative unit (province, region or state). A refugee location is defined as a unit with a known refugee population, as established by UNHCR country offices. The locations data was compiled using statistics provided by the UNHCR Division of Programme Support and Management. Several of the refugee sites in the original UNHCR data are camp names or other lo cations which are not immediately traceable to a particular location using even the most established geographical databases like that of the National Geospatial Intelligence Agency (NGA). Thus, unit-level location of refugees was established and confirmed using supplementary resources including reports, maps, and policy documents compiled by the UNHCR and contained in the Refworld database (see http://www.unhcr.org/cgi-bin/texis/vtx/refworld/rwmain). Refworld was the primary database used for this project. Geographic coordinates were assigned using the database of the National Geospatial-Intelligence Agency. See https://www1.nga.mil/Pages/default.aspx for more information. All attempts were made to find precise coordinates, including cross-referencing with Google Maps. The current version of the data covers 43 African countries and encompasses the period 2000 to 2010. The UNHCR began systematically collecting information on the locations and demographic compositions of refugee populations in 2000.

https://infchg.github.io/ProtecInt.html shows a map of current refugees asking asylum due to the situation in their countries of origin, the sites shows a live map.

Around the world, nearly four million refugees reside in planned or self-settled camps. This interactive map, created in conjunction with UNHCR in commemoration of World Humanitarian Day (August 19th), identifies the ten most populous refugee camps in the world, drawing attention to the plight—and the resilience—of the planet's most vulnerable populations, and to the organizations that work tirelessly to protect them.

The current worldwide refugee crisis is often referred to as the worst humanitarian crisis since World War II. Using Insights for ArcGIS, you'll look at data from 1951 to 2017 and find patterns in the global movement of refugees and asylum seekers.

First, you'll use link analysis to map the movement of refugees from their country of origin to their country of residence. Then, you'll create supplemental charts and tables and dig deeper into the data and the patterns that emerge over time.

In this lesson you will build skills in the these areas:

• Creating a link map
• Filtering data cards, tables, and charts
• Using link analysis to find patterns

Learn ArcGIS is a hands-on, problem-based learning website using real-world scenarios. Our mission is to encourage critical thinking, and to develop resources that support STEM education.

Description

This dataset provides a comprehensive record of missing migrants and their tragic journeys towards international destinations , collected by the Missing Migrants Project, an initiative implemented by the International Organization for Migration (IOM) since 2014. The dataset documents deaths and disappearances, shedding light on the challenges migrants face during their journeys. Please note that due to the complexities of data collection, the figures presented are likely an undercount. The dataset serves as a tribute to the individuals who lost their lives, as well as the families and communities impacted by their absence.

Key Features:

• Incident Type: Type of migration incident
• Incident Year: Year when the incident occurred
• Reported Month: Month when the incident was reported
• Region of Origin: Geographical region where the migrants originated
• Region of Incident: Geographical region where the incident occurred
• Country of Origin: Country from which the migrants originated
• Number of Dead: Number of confirmed deceased migrants
• Minimum Estimated Number of Missing: Minimum estimated count of missing migrants
• Total Number of Dead and Missing: Total count of both deceased and missing migrants
• Number of Survivors: Number of migrants who survived the incident
• Number of Females: Number of female migrants involved
• Number of Males: Number of male migrants involved
• Number of Children: Number of children migrants involved
• Cause of Death: Cause of death for the migrants
• Migration Route: Route taken by migrants during their journey (if available)
• Location of Death: Approximate location where the incident occurred
• Information Source: Source of information about the incident
• Coordinates: Geographical coordinates of the incident location
• UNSD Geographical Grouping: Geographical grouping according to the United Nations Statistics Division

Potential Use Cases:

• Migration Patterns Analysis: Explore trends and patterns in migration incidents to understand the most affected regions and routes.
• Gender and Age Analysis: Investigate the demographics of migrants to identify gender and age-related vulnerabilities.
• Survival and Mortality Analysis: Analyze survival rates and causes of death to highlight risks and challenges migrants face.
• Temporal Analysis: Examine incidents over time to identify any temporal patterns or changes.
• Geospatial Analysis: Utilize geographical coordinates to map migration routes and incident locations.

If you find this dataset valuable, your support through votes is highly appreciated! ❤️ Thank you 🙂

The map shows the Al Zaatari refugee camp in Jordan. It is situated approx. 12 km from the Syrian border and in close proximity to the city of Al Mafraq (10 km). The camp was set up on July 28, 2012, to shelter refugees fleeing the conflict in Syria. The map shows general characteristics of the camp infrastructure, including camp extent, location of shelters, containers and facility buildings, road infrastructure and the runway area. For a more detailed view parts of the camp area are also shown in the zoom boxes. The vector data have been digitized on the basis of WorldView-2 satellite data (0.5 m spatial resolution) acquired on January 03, 2013. The results have not been validated in the field. WorldView-2 satellite data acquired on January 03, 2013, is used as backdrop. The products elaborated for this Rapid Mapping Activity are realised to the best of our ability, within a very short time frame, optimising the material available. All geographic information has limitations due to the scale, resolution, date and interpretation of the original source materials. No liability concerning the content or the use thereof is assumed by the producer. The ZKI crisis maps are constantly updated.

Abstract

In July-August 2021, a participatory assessment was conducted to map the protection gaps and challenges faced by refugees and asylum-seekers in Syria. The assessment was conducted mainly through 80 focus group discussions (FGDs) that were conducted in 11 Governorates with the participation of 712 PoCs. The FDGs were conducted in areas with the largest refugee and asylum-seeker populations. The main areas included Damascus / Rural Damascus (26 FGDs), Hassakeh (18 FDGs) and Aleppo (12 FDGs). During the discussions, refugees and asylum seekers identified various protection challenges and made recommendations to UNHCR.

Geographic coverage

National.

Analysis unit

Focus group

Sampling procedure

nan

Mode of data collection

Focus Group [foc]

Research instrument

The questionnaire contained the following sections: Background Questions and General Information, Basic Needs and Essential Services, Livelihoods, Education, Shelter/Housing, Cash Based Interventions, Child Protection, Children, Caregiver, GBV, Legal, Family Reunification, Return/Integration, Elderly, Community Engagement and Accountability.

This map is part of an annual series of joint State/PRM and State/INR/HIU products created and published for World Refugee Day, each year on June 20.

This video is a walk through of the digital storytelling platform way from home conceived by Misha Myers as part of a wider research project exploring spatial narratives of refugee transnational home-building through walking-based locative media arts practices. The platform was technically designed with Dan Harris and Adam Childs in partnership with Refugees First and funded by Performance Research Journal and an AOL Innovation in the Community Award.

Syrians fleeing conflict and violence are being internally and externally displaced. This map identifies IDP sites in Syria, official refugee camp locations in Turkey, Jordan, and Iraq, as well as areas in Lebanon, Turkey, Jordan, and Iraq where sizable concentrations of Syrians are living in urban areas. It also shows numbers of externally displaced Syrians reported in the neighboring countries, as well as in Egypt and North Africa with charts to illustrate numbers of Syrian refugees in neighboring countries and living in camps or outside camps.

Over 1.2 million refugees from Ukraine due to the Russian invasion fled to Germany as of April 2025. Furthermore, the second-highest number was recorded in Poland. In total, around 5.1 million Ukrainian refugees were registered across Europe and 5.6 million worldwide as of May 2025. Most of them fled the country by crossing the border with Poland. Ukrainian refugees in Germany The first increases in the number of Ukrainian refugees in Germany were registered in March and April 2022. The figure exceeded one million refugees in September of that year. Germany had the highest monthly financial allowance for Ukrainians who fled the war compared to other European countries as of June 2022. Temporary protection for Ukrainian refugees in the EU European Union (EU) members implemented the Temporary Protection Directive (TPD), which guaranteed access to accommodation, welfare, and healthcare to refugees from Ukraine. People fleeing the war had a right to a residence permit in the EU, enter the labor market, and enroll children in educational institutions. The protection is granted until March 4, 2026, but it can be extended in the future depending on the situation in the country.

Includes a binary GeoTIFF where 0 values are non-flooded and 1 values are flooded. Included a metadata file that describes a summary and methods for the data.

Activation time (UTC): 2013-04-29 14:30:00
Event time (UTC): 2012-08-08 15:30:00
Event type: Other

Activation reason:
The German Federal Relief Agency (THW) plans to set up a refugee camp in Jordan near the Syrian border. The maps are foreseen to provide the THW-Team which is on site and plans the camp in cooperation with Jordan authorities

Reference products: 2
Delineation products: 0
Grading products: 0

Copernicus Emergency Management Service - Mapping is a service funded by European Commission aimed at providing actors in the management of natural and man-made disasters, in particular Civil Protection Authorities and Humanitarian Aid actors, with mapping products based on satellite imagery.

This map illustrates the refugee camp currently under construction in Al Azraq, Jordan. Using an image collected by the WorldView-1 satellite on 11 November 2014 a total of 12,761 structures were detected. This total includes 2,690 infrastructure and support buildings as well as 10,071 transitional shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 26 April 2014 detected a total of 7,333 infrastructure, support buildings and transitional shelters. This is an increase of approximately 74%. Paved and unpaved roads have likewise increased significantly and define the transportation network in and around the camp. Water and sanitation services are also under development in multiple camp zones suitable for supporting thousands of proximate shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

The HEED project aims at understanding energy needs of refugees and displaced populations to improve access to clean energy. The focus of HEED is on the lived experiences of refugees living for protracted periods of time in three refugee camps in Rwanda (Nyabiheke, Gihembe and Kigeme) and internally displaced persons (IDPs) forced to leave their homes as a result of the 2015 earthquake in Nepal. As part of the project, an energy assessment survey of households in both countries was undertaken using quantitative and qualitative research methods with households living in different parts of the camps/settlements, entrepreneurs running small businesses, and those responsible for community facilities, such as schools and health clinics. In the first phase, a questionnaire-based survey targeting displaced populations was conducted with households living in three refugee camps in Rwanda and four displaced sites in Nepal (see tables 2.1 and 2.2 respectively). The second phase of the field research involved a series of interviews and focus group discussions with various stakeholders in Nepal and Rwanda. The surveys were designed and delivered between March and April 2018 by the project partner, Practical Action. In both countries, the enumerators for the survey received a two-day training on research methods, data collection and ethics.

With regards to the household survey, the sample size was derived using Cochran’s formula as described by Bartlett et. al. in Organizational Research: Determining Appropriate Sample Size in Survey Research. A minimum sample size of 119 households was derived by applying a margin of error of 0.03 and an alpha of 0.5. A breakdown of the focal group and specific sites where the surveys were delivered in Rwanda and Nepal is shown in tables 2.1 and 2.2 respectively. In Rwanda, a total of 814 surveys including 622 households, 155 enterprises and 37 community facilities from across three sites were conducted. The sample distribution across camp shows 211 for Gihembe, 202 for Kigeme and 209 for Nyabiheke. In Gihembe more than half of the respondents (118, 55.9%) sampled were females with the remaining 93 (44.1%) being males. This is in contrast with Kigeme where almost equal numbers of both male (100, 49.5%) and females (102, 50.5%) were sampled. In Nyabiheke the sample covered more females (123, 58.9%) than males (86, 41.1%). In Nepal, the sample covered 181 households, 18 enterprises and 3 community facilities (see table 2.2). The household sample in Nepal covered more males (126, 69.6%) than females (55, 30.4%).

Folder Structure:
Surveys:

Gihembe Community Facility Survey – Gihembe_CF.csv
Gihembe Enterprise Survey – Gihembe_EN.csv
Gihembe Household Survey – Gihembe_HH.csv

Kigeme Community Facility Survey – Kigeme_CF.csv
Kigeme Enterprise Survey – Kigeme_EN.csv
Kigeme Household Survey – Kigeme_HH.csv

Nepal Community Facility Survey – Nepal_CF.csv
Nepal Enterprise Survey – Nepal_EN.csv
Nepal Household Survey – Nepal_HH.csv

Nyabiheke Community Facility Survey - Nyabiheke_CF.csv
Nyabiheke Enterprise Survey – Nyabiheke_EN.csv
Nyabiheke Household Survey – Nyabiheke_HH.csv

Location Maps:

Gihembe Community Facility Survey Map – CF_GIS_gihembe.csv
Gihembe Enterprise Survey Map – EN_GIS_gihembe.csv
Gihembe Household Survey Map – HH_GIS_gihembe.csv

Kigeme Community Facility Survey Map – CF_GIS_kigeme.csv
Kigeme Enterprise Survey Map – EN_GIS_kigeme.csv
Kigeme Household Survey Map – HH_GIS_kigeme.csv

Nepal Community Facility Survey Map – CF_GIS_nepal.csv
Nepal Enterprise Survey Map – EN_GIS_nepal.csv
Nepal Household Survey Map – HH_GIS_nepal.csv

Nyabiheke Community Facility Survey Map - CF_GIS_nyabiheke.csv
Nyabiheke Enterprise Survey Map – EN_GIS_nyabiheke.csv
Nyabiheke Household Survey Map – HH_GIS_nyabiheke.csv

The following information was gathered from each of the surveys:

• Households: The datasets contain information about household demographics, access to and use of electricity and lighting technologies, access to and use of cooking technologies and fuels, self-reported needs and priorities by the household, and ownership of energy products. Several key areas, such as solar lighting products and issues around fuel usage, are covered in more detail.
• Enterprises: The datasets contain information about the enterprise, their electrical and non-electrical lighting needs and supply, the usage of energy for ICT and entertainment, motive power, heating, and cooling applications, and their ownership of electrical appliances.
• Community facility: The datasets contain information about the community facility or institution, their electrical and non-electrical lighting needs and supply, the usage of energy for ICT and entertainment, motive power, heating, and cooling applications, and their ownership of electrical appliances. Community facilities offered healthcare services were presented additional questions about specific medical devices.

The survey results together with other methodological tools including field visits, workshops - ‘Design for Displacement (D4D)’ and ‘Energy for End-Users’ (E4E) workshops have provided relevant data and contextual knowledge to inform the design of the various interventions associated with the HEED. The data sets and results have been compiled, organised and uploaded in the data portal for use by researchers, students and all both within and outside of the project consortium, during and beyond the project lifetime.

This map illustrates satellite-detected shelters and other buildings at the Domiz refugee camp in Duhok Governorate, Iraq. As of 25 December 2013 a total of 9,367 standard shelters were detected, 990 improvised structures likely being used for shelter and other purposes, and 592 infrastructure and support buildings. Domiz refugee camp is encircled by a fence that surrounds the perimeter of the camp and delineates the 149.76 hectares of the camp area. Areas that were in preparation of the ground for new construction as 21 July 2013, as 25 December 2013 contain a total of 584 new shelters (estimated). New expansion areas are also visible in the image as of 25 December 2013, indicating preparations are underway to accommodate increased numbers of refugees in the near future. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Please send ground feedback to UNITAR/UNOSAT.

A comprehensive survey was conducted on July 2, 2022, to prepare the fuel inventory map featuring dwelling structure, fuel load density, placement of fuel etc. In the 5-day long survey, three camps having contrasting fuel inventory have been examined. They are- Camp 4 Extension (Ex), Camp 5 and Kutupalong Registered Camp (KRC). These camps were selected based on the following features :

• Being the youngest of all the camp in Kutupalong, Camp 4 Ex followed a standard design and an average separation distance of 7m.
• On the other hand, Camp 5 is densely populated, having no visible space between two dwellings. It was one of the largest camps with a population of almost 25 thousand. The Rohingya community there are as equally impoverished as those living in Camp 4 Ext. The shelters of both of these camps are made of cellulose based structure material like wood, bamboo, timber etc., but the dwellings of camp 5 don’t follow any standard design.
• With a sharp contrast, dwellings in KRC follow a shaded structure consisting of six dwellings under one roof but separated by brick wall or corrugated steel sheet. KRC began informally in 1991, making it the oldest of all camps and its dwellers somewhat self-sufficient. A lot more permanent structure e.g., wooden furnitures, bed, wardrobe, showcase has been found here, increasing its fuel load larger than that of Camp 4 Ex and 5.

The Site Management sector, with the support of SM partners (IOM, UNHCR, ADRA and Solidarités International) conducted a mapping exercise during the months of April and May 2018 in the areas of Teknaf upazila currently hosting Rohingya refugees. The purpose of the exercise was to identify and map the boundaries of local paras, namely group of houses. The mapping exercise aimed to better define the areas of responsibility of the newly established Para Development Commitees, and to support RRRC’s CiCs in the process of defining the new camp boundaries in Teknaf.

IOM Needs and Population Monitoring (NPM) provided technical support to better identify the para names and demarcation. The para mapping exercise was conducted in two rounds. The first exercise took place from 1 to 3 of April 2018 in the areas of Alikhali, Leda, Nayapara, Muchoni, Jadimura and Domdumia. A second exercise took place on 21 and 22 April 2018 covering the areas of Hakimpara, Jamtoli, Putibonia, Shamlapur and Unchiprang.

This dataset presents the figures of the Rohingya refugee population in Teknaf, by para. These data were collected during NPM's regular data collection exercises (Baseline and Site Assessment), which usually capture information on a majhee block level. The two systems are currently coexisting and overlapping. In order to better visualize how the two systems interact, NPM produced a set of maps available at this link.

Data source:United Nations High Commissioner for Refugees Date extracted: 29/09/2020 08:22 Last updated: 29/09/2020 08:22 Last Some data presented may differ from statistics published previously due to retroactive changes or the inclusion of previously unavailable data. Data table contains the following: Population figures Content type End year stock population totals Data quick link https://www.unhcr.org/refugee-statistics/download/?url=7UjX Data definitions https://www.unhcr.org/refugee-statistics-2/methodology/ Usage licence https://creativecommons.org/licenses/by/4.0/ Population types included REF,ROC,ASY,IDP,IOC,VDA,OOC,STAYear: 2019Data source: https://www.unhcr.org/refugee-statistics/download/?url=ZWu5