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.

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.

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.

Proportional symbols represent the population of refugees from each origin country. Migration routes for the ten largest countries of asylum are shown for each refugee population. The five largest refugee populations since 1951 originated from the following countries: Syrian Arab Republic, Afghanistan, Somalia, Ethiopia and Iraq.Refugee population data source from the UN Refugee Agency population statistics - http://popstats.unhcr.org/en/persons_of_concern.

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 vector data have been digitized on the basis of WorldView-2 satellite data (0.5m 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. Please make sure to visit http://www.zki.dlr.de for the latest version of this product.

The map shows the elevation of the surroundings of the Al Zaatari refugee camp in Jordan. The elevation information is derived from ASTER GDEM 2 data (vertical accuracy +/- 6m). Furthermore basic reference information, digitized on the basis of WorldView-2 satellite data acquired on January 03, 2013, at 08:52:52 UTC and LANDSAT-7 data acquired on December 16, 2012 at 08:07:11 UTC, is depicted. Not all settlements are captured. The results have not been validated in the field. ASTER GDEM 2 data as well as a hillshade derived from this data is used as backdrop. Please note, that information on elevation derived from ASTER data does not apply for the refugee camp area. ASTER data was acquired before 2011 and the elevation might have changed due to construction works. 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. Please make sure to visit http://www.zki.dlr.de for the latest version of this product.

The majhee block system represents an important aspect of communities within the Rohingya refugees settled in collective or camp-like settings in Cox's Bazar district. A majhee is a community leader belonging to the Rohingya refugee population, while a block is the area for which he is responsible.

The NPM majhee blocks mapping exercise was first conducted during NPM Baseline 9, between 5 and 20 February 2018. As part of the majhee interview process (key informants), enumerators walked the perimeter of each majhee block with guidance from the KI. As they walked, the field team traced their path, marking up the boundary on the tablet or paper map. Upon returning to NPM office, details of these boundaries were finalized on the paper maps.

The paper maps were then received by the NPM digitizing team. This team carefully digitized the Mahjee zone perimeters in GIS, using high-resolution NPM UAV imagery as an underlying reference. Boundaries were assigned the NPM Block_ID attribute, which represents a unique identifier for each Site Assessment Location. In this manner, boundaries can be uniquely linked back to a mahjee.

The majhee blocks mapping exercise is now embedded in NPM regular assessment activities (baseline and site assessment), hence regularly updated with a frequency of approximately three weeks.

The majhee block system is not an official form of governance. The scope of this exercise is purely descriptive and not prescriptive. Names and boundaries adopted in this exercise do not imply official endorsement or acceptance by IOM.

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.

The five largest refugee origin countries from 1951 to 2015: 1. Afghanistan 2. Syrian Arab Republic 3. Iraq 4. Ethiopia 5. Somalia

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.

The World Refugee and IDPs layer present data on refugees, internally displaced persons (IDPs), and hosted refugees globally from 2001 to 2023.The data is sourced from the United Nations High Commissioner for Refugees (UNHCR) to present accurate and up-to-date information on the displacement crisis worldwide.. However, users should note that the data might not always be completely accurate due to the complexities of data collection in conflict and displacement situations.

Activation time (UTC): 2014-11-21 09:30:00
Event time (UTC): 2014-11-21 09:29:00
Event type: Other

Activation reason:
Generation of detailed maps of the Kutupalong Rohingya refugee camp area in Bangladesh, marking all refugee shelters, roads, water bodies and other infrastructures.

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 group of layers are a geographic representation of the service boundaries for each of the programs administered by the LA County Department of Public Social Services (DPSS). Each DPSS district office is responsible for tracking and auditing the cases that fall within their boundaries. The following are the DPSS programs that have a service boundary:- CalFresh- CalWORKS- Medi-Cal- IHSS- GROW- General Relief- GAIN- CAPIPlease note that these layers are subject to change as DPSS sees fit and without prior notice. For more information on these programs, please visit https://dpss.lacounty.gov/.

Abstract

The primary purpose of the Harmonized Host and Refugee Labor Market Survey (HHR-LMS) in Uganda is to provide information relevant for studying the impact of forced displacement on labor market outcomes for host communities, both among Ugandan nationals and refugees. The survey aims to obtain detailed information that helps explore labor market outcomes for host and refugee communities living side by side and engaging in shared labor market settings.

Geographic coverage

The survey covers three locations in Uganda: Kampala, Isingiro district, and the Nakivale refugee settlement.

Analysis unit

Household or respondent, depending on survey module.

Universe

The survey covered all de jure households excluding prison, hospitals, military barracks and school dormitories. It includes both national and refugee households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design included 265 initial enumeration areas selected using probability proportionate to size with the number of households used as a measure of size. The enumeration areas were select-ed based on the sample frame constructed during the 2014 population census of Uganda. The Ugan-dan Bureau of Statistics (UBOS) conducted the selection of the EAs and provided their list along with detailed maps of the areas.

Using maps of the selected enumeration areas provided by UBOS, the study team conducted the list-ing of all households in the selected EAs with door-to-door visits. The listing exercise was carried out during November 2021-January 2022 by a team of local field workers recruited and trained for this purpose.

In Kampala city, in addition to a traditional PPS sample, we employed adaptive cluster sampling (ACS) (Thomson 1997; Thomson and Seber 1996) to capture a sufficient number of refugee house-holds. Using the listing of households in the initial 150 clusters in Kampala, the survey team identified those EAs that have 10 percent or more refugee households and conducted the listing of all of their neighbors. This resulted in listing additional 49 clusters that are identified as neighbors to these initial clusters. The exercise served as a basis for selection of both refugees and national households in Kampala.

In general, the sample design is a two-stage sample, with EAs first selected randomly for listing, followed by random selection of households from the listing. There is an extra third stage of choosing individuals randomly selected in households (RSI). Within each household, one person is selected at random (RSI) from the list of eligible members: persons aged between 18 and 65 years old in a national household; or refugees aged between 18 and 65 years old in a non-national household.

Sampling deviation

Description provided in "Harmonized Host and Refugee Labor Market Survey in Uganda, Sampling Description" documentation.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two main questionnaires were used to two sampling units: the household head and a randomly selected individual from within the household among the members of the household who are in the age range of 18 to 65 years old.

Response rate

Description provided in "Harmonized Host and Refugee Labor Market Survey in Uganda, Sampling Description" documentation.

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.

The Al Zaatari refugee camp in Jordan is situated approx. 12 km from the Syrian border and in close proximity to the city of Al Mafraq (10 km). Due to heavy rainfall in the region parts of the Zaatari camp are affected by flooding. The map shows the flood situation derived by semi-automatic image analysis of TerraSAR-X data acquired on January 10, 2013 at 03:38:49 UTC. Furthermore basic reference information, digitized on the basis of WorldView-2 satellite data acquired on January 03, 2013, at 08:52:52 UTC, is depicted. The contour lines were derived from ASTER GDEM 2 data (vertical accuracy +/- 6m). For a more detailed view on the flood situation, parts of the camp area are also shown in the zoom boxes. The results of the image interpretation and analysis have not been validated in the field. WorldView-2 satellite data acquired on January 03, 2013, is used as backdrop. Please note that flood waters in settlement areas might not be fully captured and the water extent might be underestimated due to sensor characteristics. Thus especially shallow water bodies might not be fully captured. 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. Please make sure to visit http://www.zki.dlr.de for the latest version of this product.

The data and documentation in this study is an innovation project that is a part of "PROTECT The Right to International Protection: A Pendulum between Globalization and Nativization?". This is an EU-funded research project launched on 1 February 2020. The impacts of the UN's Global Compacts on Refugees and Migration are studied, which are two non-binding frameworks promoting international cooperation and responsibility-sharing as key solutions to handle global refugee flows. By studying how the Compacts are received and implemented in different countries, and how they interact with existing legal frameworks and governance architectures, the Compacts' impact on refugees' right to international protection is investigated.

More specifically, this database maps the different policy tools of the external dimension of the Common European Asylum System (CEAS) and of the Asylum policy of the EU. The information gathered in this database concerns the policy toolbox relating to the external dimension of the EU’s asylum and migration policy. Said toolbox is also displayed on an interactive map available to the public by following the link: https://umap.openstreetmap.fr/en/map/eu-external-migration-policy-tools_584227#4/30.33/41.13. The data is collected from open secondary sources and legal texts.

Licensed under Creative Commons Attribution 4.0 International.

Evaluate migration at the global, regional, and local scales. The GeoInquiry activity is available here.Educational standards addressed:APHG: II.C. Explain how push and pull factors contribute to migration.APHG: II.C. Analyze the cultural, economic, environmental, and political conse- quences of migration.This map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

Abstract

The main purpose of the Harmonized Host and Refugee Labor Market Survey (HHR-LMS) in Ethiopia is to provide information relevant for studying the impact of forced displacement on labor market out-comes in host communities, both among Ethiopian nationals and refugees. The survey aims at obtaining detailed information that help explore labor market outcomes for host and refugees communities living side by side and engaging in a shared labor market settings.

Geographic coverage

The survey covers select localities two regions in Ethiopia: Addis Ababa and Somali region of Ethiopia. In the Somali region, the localities of Jigjiga city; Kebribeyah town and Kebribeyah refugee camp were covered. Within these localities, the survey is representative of the national and refugee population.

Analysis unit

Individual and household.

Universe

The survey covered all de jure households excluding prison, hospitals, military barracks and school dormitories. It includes both national and refugee households.

Kind of data

Sample survey data [ssd]

Sampling procedure

[Further described in "Harmonized Host and Refugee Labor Market Survey in Ethiopia, Sampling Description" documentation.]

The sample design included 150 initial enumeration areas in Addis Ababa and 79 EAs in Somali region. These EAs were selected using probability proportionate to size where size is measured by the number of households. The enumeration areas were selected based on the sample frame prepared for the population census of Ethiopia planned for 2020 but not implemented due to the COVID pandemic and overall security challenges in the country. The Ethiopian Central Statistical Service (CSS) conducted the selection of the EAs and provided their list along with detailed maps of the areas.

Using maps of the selected enumeration areas provided by CSS, the study team conducted the listing of all households in the selected EAs with door-to-door visits. The listing exercise was carried out during February-March 2022 in Addis Ababa and during May-June 2022 in Somali region by a team of local field workers recruited and trained for this purpose.

In Addis Ababa, we employed adaptive cluster sampling (ACS) to capture enough refugee households. Using the listing of households in the initial 150 clusters in Ababa, we identified those EAs that have 10 percent or more refugee households and conducted the listing of all their neighbors. This resulted in listing additional 71 EAs clusters that are identified as neighbors to these initial clusters. The exer-cise served as a basis for selection of both refugees and national households in Addis Ababa.

In general, the sample design is a two-stage sample, with an extra third stage for individuals random-ly selected in households (RSI). Within each household, one person is selected at random (RSI) from the list of the eligible members: persons aged between 18 and 65 years old in a national household; or refugees aged between 18 and 65 years old in a non-national household.

Sampling deviation

Description provided in "Harmonized Host and Refugee Labor Market Survey in Ethiopia, Sampling Description" documentation.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two main questionnaires were used to two sampling units: the household head and a randomly selected individual from within the household among the members of the household who are in the age range of 18 to 65 years old.

Response rate

Description provided in "Harmonized Host and Refugee Labor Market Survey in Ethiopia, Sampling Description" documentation.