Refugees Humanitarian Datasets | Find Crisis Data

Kenya - Socio-economic impact of COVID-19 on refugees - Round 3, 2020

Time Period of the Dataset [?]: September 28, 2020-November 30, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.

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Kenya - Socio-economic impact of COVID-19 on refugees - Round 4, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 15, 2021-March 25, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.

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Kenya - Socioeconomic Survey of Refugees in Kakuma 2019

UNHCR - The UN Refugee Agency

30+ Downloads

Time Period of the Dataset [?]: October 21, 2019-December 18, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

Since 1992, Kenya has been a generous host of refugees and asylum seekers, a population which today exceeds 500,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites (about 40% of the total refugees in Kenya), and have become even larger in recent years, with an estimated 67 percent of the current refugee population arriving in the past five years. In 2015, UNHCR, the Government of Kenya, and partners established Kalobeyei Settlement, located 40 kilometers north of Kakuma, to reduce the population burden on the other camps and facilitate a shift towards an area-based development model that addresses the longer term prospects of both refugees and the host community. The refugee population makes up a significant share of the local population (an estimated 40 percent at the district level) and economy, engendering both positive and negative impacts on local Kenyans. While Kenya has emerged as a leader in measuring the impacts of forced displacement, refugees are not systematically included in the national household surveys that serve as the primary tools for measuring and monitoring poverty, labor markets and other welfare indicators at a country-wide level. As a result, comparison of poverty and vulnerability between refugees, host communities and nationals remains difficult. Initiated jointly by UNHCR and the World Bank, this survey replicates the preceding Kalobeyei SES (2018), designed to address these shortcomings and support the wider global vision laid out by the Global Refugee Compact and the Sustainable Development Goals. Data was collected in October 2019 to December 2019, covering about 2,122 households.

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Kenya - Socio-economic impact of COVID-19 on refugees - Panel Study

UNHCR - The UN Refugee Agency

40+ Downloads

Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.

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Kenya - Socio-economic impact of COVID-19 on refugees - Panel Study

UNHCR - The UN Refugee Agency

20+ Downloads

Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The World Bank and UNHCR in collaboration with the Kenya National Bureau of Statistics and the University of California, Berkeley are conducting the Kenya COVID-19 Rapid Response Phone Survey to track the socioeconomic impacts of the COVID-19 pandemic, the recovery from it as well as other shocks to provide timely data to inform a targeted response. This dataset contains information from eight waves of the COVID-19 RRPS, which is part of a panel survey that targets refugee household and started in May 2020. The same households were interviewed every two months for five survey rounds, in the first year of data collection, and every four months thereafter, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. The sample aims to be representative of the refugee and stateless population in Kenya. It comprises five strata: Kakuma refugee camp, Kalobeyei settlement, Dadaab refugee camp, urban refugees, and Shona stateless. Waves 1-7 of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge. Wave 8 focused on how households were exposed to shocks, in particular adverse weather shocks and the increase in the price of food and fuel, but also included parts of the previous modules on household background, service access, employment, food security, income loss, and subjective wellbeing. The data is uploaded in three files. The first is the hh file, which contains household level information. The 'hhid', uniquely identifies all household. The second is the adult level file, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the 'adult_id'. The third file is the child level file, available only for waves 3-7, which contains information for every child in the household. Each child in a household is uniquely identified by the 'child_id'. The duration of data collection and sample size for each completed wave was: Wave 1: May 14 to July 7, 2020; 1,328 refugee households Wave 2: July 16 to September 18, 2020; 1,699 refugee households Wave 3: September 28 to December 2, 2020; 1,487 refugee households Wave 4: January 15 to March 25, 2021; 1,376 refugee households Wave 5: March 29 to June 13, 2021; 1,562 refugee households Wave 6: July 14 to November 3, 2021; 1,407 refugee households Wave 7: November 15, 2021, to March 31, 2022; 1,281 refugee households Wave 8: May 31 to July 8, 2022: 1,355 refugee households The same questionnaire is also administered to nationals in Kenya, with the data available in the WB microdata library: https://microdata.worldbank.org/index.php/catalog/3774

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Ubicación de pasos migratorios irregulares (trochas) en el Área...

iMMAP Inc.

80+ Downloads

Time Period of the Dataset [?]: March 15, 2019-April 27, 2025 ... More

This dataset updates: As needed

Ubicación de pasos migratorios irregulares (trochas) en el Área Metropolitana de Cúcuta. Fuente: investigación periodística de El Tiempo. Ver: https://www.eltiempo.com/colombia/otras-ciudades/bandas-criminales-cobran-paso-de-migrantes-por-trochas-en-frontera-entre-colombia-y-venezuela-339184

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Afghanistan - Socio-economic assessment of IDPs and returnees in the five...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: Never

At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.

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Kenya - Socio-economic assessment of refugees in Kenya's Kakuma camp 2015

UNHCR - The UN Refugee Agency

30+ Downloads

Time Period of the Dataset [?]: November 08, 2015-December 04, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

Kakuma Refugee Camp is one of the longest-standing humanitarian settlements in sub-Saharan Africa and one of the largest refugee camps in the world. In response to recent reductions in funding for the Kenyan refugee operation, increased global competition for funds, and a common belief that not all refugees in such protracted situations have the same humanitarian assistance needs, UNHCR and WFP decided to undertake a study among refugees in Kakuma Camp. The main aims were to fill knowledge gaps regarding refugee livelihoods and the level and differences of vulnerability in refugee households, as well as to explore the feasibility of delivering more differentiated assistance and to identify the mechanisms that would need to be put in place to do so. Specifically, the study was meant to determine whether a permanent targeting mechanism could be put in place or whether other ways of prioritising assistance exist when resources are tight. The survey covered 2,000 households and was implemented in November/December 2015.

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Cameroon - Socio-economic assessement of Central African refugees in...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016.

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Afghanistan - Socio-economic assessment of IDPs and returnees in the five...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.

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Rwanda - Socio-economic assessment of refugees in Rwanda's Gihembe, Kigeme...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: May 05, 2016-May 25, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

There is a growing interest in the consequences of hosting refugees for local populations. Such consequences need not to be unfavorable and in many instances the presence of refugees results in direct and indirect benefits for host communities. This survey was conducted to examine the influence of Congolese refugees on host communities in Rwanda, with a focus on labor market activity and economic welfare. The survey covered three refugee camps as well as their surrounding host communities. Data was collected in May 2016 and covers 427 refugee households and 953 host households.

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Afghanistan - Socio-economic assessment of Pakistani refugees in...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 11, 2017-May 29, 2017 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).

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Kenya - Socio-economic impact of COVID-19 on refugees - Round 1, 2020

UNHCR - The UN Refugee Agency

30+ Downloads

Time Period of the Dataset [?]: May 14, 2020-July 17, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. 1,332 households were reached. The survey consent rate was 51 percent. From these households, 3,529 individuals were selected and interviewed.

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Zambia - COVID-19 Impact Assessment on Refugee Livelihoods: Multistakeholder...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: June 08, 2020-June 19, 2020 ... More

This dataset updates: Never

The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.

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Kenya - Socio-economic impact of COVID-19 on refugees - Round 2, 2020

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: July 16, 2020-September 18, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. For the second wave, 4390 individuals were included belonging to 1735 households.

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Afghanistan Voluntary Repatriation 2020

UNHCR Afghanistan

500+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Every month

Number of Refugees returning to Afghanistan for the period of 01 January 2020 to 31 December 2020 by district of destination and origin.

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CSV

Afghanistan Voluntary Repatriation 2019

UNHCR Afghanistan

300+ Downloads

Time Period of the Dataset [?]: January 01, 2019-January 31, 2019 ... More

This dataset updates: Every day

Number of Refugees returning to Afghanistan for the period of 01 January 2019 to 31 December 2019 by district of destination and origin.

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CSV

Sudan - UNHCR Refugee camps

OCHA Sudan

300+ Downloads

Time Period of the Dataset [?]: January 11, 2021-January 11, 2021 ... More

This dataset updates: As needed

This shapefile shows the Refugee camps in Sudan

SHP

IOM Bangladesh - Needs and Population Monitoring (NPM) Round 16 Site Assessment

International Organization for Migration (IOM)

700+ Downloads

Time Period of the Dataset [?]: August 21, 2019-October 10, 2019 ... More

This dataset updates: Never

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

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. The two datasets present the result of the NPM Round 16 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs from female key informants and majhee key informants during the months of 21st August – 10th October. Rohingya refugee population distribution by para in Teknaf upazila. Please click here

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Bangladesh - Access Roads inside Rohingya Refugee Camps in Cox's Bazar

WFP - World Food Programme

500+ Downloads

Time Period of the Dataset [?]: August 01, 2020-August 01, 2020 ... More

This dataset updates: Every six months

The dataset contains roads accessible by vehicles and trucks across the refugee camps in Cox’s Bazar Bangladesh, smaller routes and footpaths are not included, satellite imageries and ground verification was used in order to collect and consolidate this dataset. Source: Logistics Sector Contributor: WFP Date: August 2020 Expected Update Frequency: 2 times per year + as needed

KML
SHP

Zambia - COVID-19 Impact Assessment on Refugee Livelihoods: Multistakeholder...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: June 08, 2020-June 19, 2020 ... More

This dataset updates: Never

The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.

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Cox's Bazar - Common Facility Mapping

Inter Sector Coordination Group

500+ Downloads

Time Period of the Dataset [?]: January 27, 2020-January 27, 2020 ... More

This dataset updates: As needed

The dataset provides the information about existing common facility infrastructure points (except WASH) by Sector/Sub-sector, facility type, location (lat/lon) with an unique ID at Rohingya refugee camps in Cox's Bazar district, Bangladesh. The dataset is sourced and verified by sector/WG, IOM-NPM, UNHCR, ISCG in Cox's Bazar

XLSX

Ethiopia - Refugee Camp Locations

OCHA Ethiopia

700+ Downloads

Time Period of the Dataset [?]: October 01, 2019-October 01, 2019 ... More

This dataset updates: As needed

This file contains the location of refugee camps in Ethiopia.

SHP

UNHCR Global Trends: Forced Displacement in 2019 Data

UNHCR - The UN Refugee Agency

100+ Downloads

Time Period of the Dataset [?]: June 18, 2020-June 18, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: UNHCR - UNHCR Global Trends - Forced Displacement

This dataset contains 22 data tables on global trends in forced displacement in 2019. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.

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Sudan: PIN and Severity 2020

OCHA Sudan

100+ Downloads

Time Period of the Dataset [?]: May 10, 2020-May 10, 2020 ... More

This dataset updates: As needed

This data set contains people in need figures for Sudan by locality (Admin level 2) and sector

XLSX