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 UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data only with refugees from Colombia. The full dataset is available here.

This dataset contains refugee population statistics from 1975 until 2012.

Abstract

The long-term presence of refugees in Chad and the reduction in funding to provide assistance in recent years have led the humanitarian community to reconsider the approach to assistance of these populations. WFP and UNHCR, the Government's main partners in providing assistance to refugees, had conducted a "socio-economic categorization" in 2014 and 2015 in some refugee camps, and an update was decided for 2017. This update was designed to go beyond a simple categorization and focuses on identifying profiles of refugee households that can be empowered in the short to medium term and the factors that can foster this empowerment. The assessment covers 87,724 refugee households in Chad and was carried out during June-August 2017.

Geographic coverage

Areas hosting refugees in Chad. This includes 19 refugee camps and 9 villages.

Analysis unit

Household and individual

Universe

All refugee households residing in Chad.

UNHCR PPG: 1TCDA, 1TCDB, 1TCDD

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey's objective was to deliver representative data of all refugees living in Chad. The total population of refugees at the time of the survey was estimated at slightly below 90,000 households. These refugees were located in 19 refugee camps and 9 villages.

The survey applied a full-coverage (census) approach, i.e. no sample selection was made. The registration database served as the list frame. The total number of completed interviews was 87,724 households.

While the original data collection took a full-coverage approach, the public-release version of the dataset contains a systematically drawn sub-sample of this original data for reasons of statistical disclosure control. The total sample size in the dataset presented for public release is 8,772 households.

Sampling deviation

None.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

All questionaires are provided in section "external ressources".

Cleaning operations

The dataset presented here has undergone light checking, cleaning and restructuring (data may still contain errors) as well as anonymization (includes removal of direct identifiers and sensitive variables, and grouping values of select variables). Moreover, it constitutes a sub-sample of the data originally collected.

Response rate

Information unavailable.

Data as of June 11, 2015. The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.

The UNHCR Population Statistics database currently contains data about UNHCR's populations of concern from the year 2000 up to 2013. The data is the same available in UNHCR's Yearbook Statistical Yearbook publications.

In this dataset it is possible to investigate different aspects of the populations of concern: their general composition by location of residence or origin, their status (refugees, asylum seekers, internally displaced persons, etc.), their evolution over time, and so on.

The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data only with refugees from Yemen. The full dataset is available here.

This dataset contains refugee population statistics from 1975 until 2012.

2015 UNHCR Refugees statistics by Country of Asylum broken down by Country of Origin Figures between 1 and 4 are redacted for Refugees protection reasons

Abstract

The assistance dataset includes the assistance history of the households that have taken the 2020 Vulnerability Assessment of Syrian Refugees (VASyR) assessment. The dataset is extracted from Refugees Assistance Information System (RAIS) which is an online Inter-Agency web application used by Lebanon Crisis Response Plan (LCRP) partners in Lebanon for tracking and reporting assistance provided to persons of concern to UNHCR.

Geographic coverage

National coverage

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

This dataset includes the assistance history of all the households that have taken the 2020 Vulnerability Assessment of Syrian Refugees (VASyR 2020) assessment, available on the UNHCR Microdata Library (survey ID number: UNHCR_LBN_2020_VASYR_v2.1). It is possible to link each assistance record to the VASyR 2020 dataset using the case number provided.

For more info about the VASyR 2020 sampling please refer to the dataset page: https://microdata.unhcr.org/index.php/catalog/286

Mode of data collection

Other [oth]

This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.

Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.

Canada refugee statistics for 2023 was 169,448, a 20.5% increase from 2022.

<ul style='margin-top:20px;'>

<li>Canada refugee statistics for 2022 was <strong>140,621</strong>, a <strong>8.07% increase</strong> from 2021.</li>
<li>Canada refugee statistics for 2021 was <strong>130,125</strong>, a <strong>19.15% increase</strong> from 2020.</li>
<li>Canada refugee statistics for 2020 was <strong>109,214</strong>, a <strong>7.33% increase</strong> from 2019.</li>
</ul>Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data only with refugees from Kenya. The full dataset is available here.

This dataset contains refugee population statistics from 1975 until 2012.

Refugees and Asylum-seekers in Southern Africa, East and Horn of Africa and the Great Lakes Region as a result of persecution, conflict, violence, human rights violations, or events seriously disturbing public order.

Abstract

The Vulnerability Assessment Framework (VAF) is a key tool used by humanitarian and development organizations in Jordan. It contributes to coherent vulnerability identification and programme delivery across sectors. . It was designed in 2014 with a focus on Syrian refugees residing outside of camps. This dataset collected between November and December 2021 presents the first efforts in expanding the scopes to the Zaatari and Azraq refugee camps. Residents of both Azraq and Zaatari camps were randomly sampled to explore trends and vulnerabilities specific to the camp context. As the questionnaire was first used to collect the data in the urban setting, it was tailored for the refugee camps context to account for the camp residents’ living circumstances, allowing for a deeper understanding of this specific group. A total of 10,141 individuals, representing 2,208 families living in 1,620 households, were interviewed in person.

Geographic coverage

Azraq and Zaatari camps

Analysis unit

Household, Case (family), Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

In order to ensure that the sample is representative of the refugee population living in both camps, a stratified random sampling method was used, with two strata: Azraq and Zaatari. Random sampling aims to reduce selection bias and ensure that our respondents have the same characteristics as the entire population on average. A random sample of families was selected for each camp using UNHCR's ProGres registration database. This sample was then proportionally distributed across the villages in Azraq and districts in Zaatari. Even though sampling was conducted at the family unit, all members in the household were interviewed, including other cases/families living in the same household, and individuals pending registration with UNHCR

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaire contained the following sections: Household Demographics, Shelter, WASH, Consumption and Expenditure6, COVID-19 KAP7, Financial Situation, Health, Education, Livelihoods, and Child Labour.

This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.

Abstract

Between February and March 2021, UNHCR and WFP undertook an assessment of refugees from South Sudan in the sites of Biringi (Ituri province), Bele and Meri (Haut Uélé province) in the Democratic Republic of the Congo (DRC). The objective of the assessment was to update the basic knowledge on the humanitarian needs of the whole South Sudanese refugee population in these sites to inform programmatic decisions and assess the relevance of a harmonized humanitarian targetting strategy based on level of vulnerability.

The assessment was carried out jointly by UNHCR and WFP. All refugee households in all sites were interviewed, consisting of 8,630 households. This dataset represents an anonymous version of the original dataset. A 20% random sample of the original dataset was drawn as part of the anonymization. The sample was stratified by site (Mele, Beri and Biringi). The variable survey_weight provide the final weights.

Geographic coverage

Biringi (Ituri province), Bele and Meri (Haut Uélé province) refugee camps.

Analysis unit

Households

Universe

Refugees from South Sudan living in sites of Biringi (Ituri province), Bele and Meri (Haut Uélé province) refugee camps.

Kind of data

Sample survey data [ssd]

Sampling procedure

The original dataset was a full enumeration. The anonymous data published on the Microdata Library is a stratified random sample of the original dataset, stratified by camp (camp).

Mode of data collection

Face-to-face [f2f]

Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.

Series Name: Number of refugees per 100 000 population by country of origin (per 100 000 population)Series Code: SM_POP_REFG_ORRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 10.7.4: Proportion of the population who are refugees, by country of originTarget 10.7: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policiesGoal 10: Reduce inequality within and among countriesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Abstract

In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.

Geographic coverage

Gozamir and Belom refugee camps, Chad

Analysis unit

Household and individual

Universe

All refugee households residing in Gozamir and Belom refugee camps, Chad. UNHCR PPG: 1TCDA, 1TCDB

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey's objective was to deliver representative data of all refugees living in Chad's Gozamir and Belom refugee camps. The total population of refugees in these camps at the time of the survey was estimated at slightly below 13,000 households.

The survey applied a full-coverage (census) approach, i.e. no sample selection was made. The registration database served as the list frame. The total number of completed interviews was 12,643 households (7,393 in Gozamir and 5,250 in Belom).

While the original data collection took a full-coverage approach, the public-release version of the dataset contains a systematically drawn sub-sample of this original data for reasons of statistical disclosure control. The total sample size in the dataset presented for public release is 2,528 households (1,478 in Gozamir and 1,050 in Belom).

Mode of data collection

Other [oth]

Research instrument

All questionaires are provided in section "external ressources".

Cleaning operations

The dataset presented here has undergone light checking, cleaning and restructuring (data may still contain errors) as well as anonymization (includes removal of direct identifiers and sensitive variables, and grouping values of select variables). Moreover, it constitutes a sub-sample of the data originally collected.

Response rate

Information unavailable.