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  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-December 31, 2028 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset is part of the data series [?]: HDX HAPI - Data by Country
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 400+ Downloads
    Time Period of the Dataset [?]: April 30, 2018-May 20, 2025 ... More
    Modified [?]: 22 May 2025
    Dataset Added on HDX [?]: 15 July 2024
    This dataset updates: Every month
    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.
  • 1800+ Downloads
    Time Period of the Dataset [?]: January 21, 2020-April 17, 2025 ... More
    Modified [?]: 19 May 2025
    Dataset Added on HDX [?]: 17 October 2018
    This dataset updates: As needed
    This dataset contains violent agency- and open source events affecting refugee and IDP camps published in the Protection in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 1200+ Downloads
    Time Period of the Dataset [?]: January 01, 1970-June 30, 2024 ... More
    Modified [?]: 13 January 2025
    Dataset Added on HDX [?]: 30 July 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: UNHCR - Data on forcibly displaced populations and stateless persons
    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).
  • 10+ Downloads
    Time Period of the Dataset [?]: March 29, 2021-June 13, 2021 ... More
    Modified [?]: 1 August 2021
    Dataset Added on HDX [?]: 1 August 2021
    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.
  • Time Period of the Dataset [?]: May 14, 2020-July 17, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
  • Time Period of the Dataset [?]: July 16, 2020-September 18, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
  • Time Period of the Dataset [?]: September 28, 2020-November 30, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
  • Time Period of the Dataset [?]: January 15, 2021-March 25, 2021 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 21, 2019-December 18, 2019 ... More
    Modified [?]: 16 March 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
  • 40+ Downloads
    Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More
    Modified [?]: 28 February 2021
    Dataset Added on HDX [?]: 28 February 2021
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More
    Modified [?]: 26 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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
  • 20+ Downloads
    Time Period of the Dataset [?]: November 08, 2015-December 04, 2015 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
  • 30+ Downloads
    Time Period of the Dataset [?]: May 14, 2020-July 17, 2020 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 16, 2020-September 18, 2020 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 22, 2018-January 17, 2019 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 7 February 2021
    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 470,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites, 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 was designed to address these shortcomings and support the settlement's development framework, as well as the wider global vision laid out by the Global Refugee Compact and the Sustainable Development Goals. Data were collected in November 2018 to January 2019, covering about 6004 households.