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.

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.

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

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.

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.

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.

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.

The map shows the monthly mean precipitation in mm for November, December, January and February. This WorldClim data was generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (= about 1km² resolution).

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 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.

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 calculated average monthly snow cover data for November, December, January and February; derived from data extracted for each year from the full available period of record from 2000 to 2015. The original MODIS/Terra Snow Cover Monthly data consists of snow cover in a spatial resolution of 0.05 degrees, which equals ~5 square kilometres. The monthly average snow cover is calculated from the daily products.

This map illustrates satellite-detected shelters and other structures at the Kapise refugee camp in Mwanza District, Malawi. The camp is for refugees fleeing reported violence in neighboring Mozambique. An initial examination of WorldView-2 satellite imagery acquired 16 February 2016 revealed a total of 1,497 structures within the camp. Approximately 24 of these were administrative buildings, 1,416 were tent or improvised shelters, and 57 were semi-permanent structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map shows the average wind speed at each cell for November, December, January and February at 5 km spatial resolution. The data was modelled from ECMWF operational, forecasting models 2010 - 2015.

This map illustrates satellite-detected areas of likely refugee populations in Sido village, Moyen - Chari Region, Republic of Chad, as seen by the WorldView-1 and WorldView-2 satellites on 29 January 2014 and 13 June 2014. As of 29 January, fleeing outbreaks of violence in the Central African Republic, refugees had established a primary settlement area in the central portion of Sido village and along the primary road. As of that date, the camp included approximately 543 improvised shelters and 200 tent shelters. As of 13 June 2014 approximately 2,731 tent shelters and new housing structures, 798 improvised shelters or small huts, and 1,255 tukuls or large huts were detected within and around Sido village. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

This map illustrates the refugee settlement in Al Azraq, Jordan as seen by the WorldView-3 satellite on 30 June 2016. Analysis by UNITAR-UNOSAT of the satellite image indicates a total of 14,609 visible structures. This includes 4,389 infrastructure and support buildings as well as 10,220 shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 5 October 2015 detected a total of 14,227 infrastructure, support buildings and shelters. This is an increase of approximately 2.7%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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.

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.