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  • 20+ 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 [?]: May 27, 2019-July 05, 2019 ... More
    Modified [?]: 18 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    In 2016, UNHCR became aware of a group of stateless persons living in or near Nairobi, Kenya. Most of them were Shona, descendants of missionaries who arrived from Zimbabwe and Zambia in the 1960s and remained in Kenya. The total number of Shona living in Kenya is estimated to be between 3,000 and 3,500 people. On their first arrival, the Shona were issued certificates of registration, but a change in the Registration of Persons Act of 1978 did not make provision for people of non-Kenyan descent, consequently denying the Shona citizenship. Zimbabwe and Zambia did not consider them nationals either, rendering them stateless. Besides the Shona, there are other groups of stateless persons of different origins and ethnicities, with the total number of stateless persons in Kenya estimated at 18,500. UNHCR and the Government of Kenya are taking steps to address statelessness in the country, among them is the registration of selected groups for nationalization. In April 2019, the Government of Kenya pledged to recognize qualifying members of the Shona community as Kenyan citizens. However, the lack of detailed information on the stateless population in Kenya hinders advocacy for the regularization of their nationality status. Together with the Kenyan Government through the Department of Immigration Services (DIS) and the Kenya National Bureau of Statistics (KNBS), UNHCR Kenya conducted registration and socioeconomic survey for the Shona community from May to July 2019. While the primary objective of the registration was to document migration, residence and family history with the aim of preparing their registration as citizens, this survey was conducted to provide a baseline on the socio-economic situation of the stateless Shona population for comparison with non-stateless populations of Kenya.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2018 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
    It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
    It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
    It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
    It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
    It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.
  • 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.
  • 20+ Downloads
    Time Period of the Dataset [?]: September 22, 2020-September 28, 2020 ... More
    Modified [?]: 8 January 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention
    This Post-Distribution Monitoring (PDM) was initiated by UNHCR’s Sub-Office in Cox’s Bazar to monitor its distribution of cash to refugees as part of a pilot cash programme, as well as to collect the feedback of refugees on the cash distribution itself. It was designed with built-in COVID-19 prevention measures. UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed.
  • 10+ Downloads
    Time Period of the Dataset [?]: August 11, 2020-August 31, 2020 ... More
    Modified [?]: 2 November 2020
    Dataset Added on HDX [?]: 9 April 2023
    This dataset updates: Never
    The ongoing coronavirus pandemic, along with the preventive measures designed to slow its spread, are putting great stress on India's economy, and affecting the lives and livelihoods of millions of people, including refugees across the country. To determine the exact social and economic consequences of the crisis, UNDP and UNICEF, are working under the leadership of the UN Resident Coordinators, and in close collaboration with specialized UN agencies, to assess the socio-economic impacts of the COVID-19 pandemic on vulnerable communities. UNHCR led the socio economic impact assessment for refugee population in India. The assessment was conducted in collaboration with UNICEF and in partnership with BOSCO. As of June 2020, 40,068 refugees and asylum seekers from different nationalities are registered with UNHCR in India (28,053 refugees and 12,015 asylum seekers). Approximately 51% of the population registered with UNHCR lives in Delhi NCR, the remaining population live throughout the country, with bigger groups in Hyderabad, Jammu and Mewat. Rohingya are the largest group of persons of concern to UNHCR in India with 17,772 persons, followed by Afghans (15,806 persons). Of the total population registered with UNHCR, 47% are women and girls while 16% are persons with specific needs. The survival mechanism for most of the refugees and asylum seekers is mainly based on a daily income that is immensely challenged with the ongoing lockdown and restriction of movement introduced by the central and state governments. These restrictions make it impossible for asylum seekers and refugees to reach the location of their informal employment or daily income generating activities, or to receive customers for their goods and services. Their income and possible savings have dried up leaving them with no means to adequately provide for their families, including in the areas of food, shelter and medicine
  • 40+ Downloads
    Time Period of the Dataset [?]: June 04, 2018-June 14, 2018 ... More
    Modified [?]: 8 September 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This report presents the findings of the profiling activities conducted from June to August 2018 in communities hosting internally displaced persons (IDPs) of the Marawi conflict and return communities in the provinces of Lanao del Sur, Lanao del Norte, Misamis Oriental and Bukidnon. Data was collected through structured interviews with IDP households using the kobo™ tool. Primary respondents were heads of households and in their absence, any person of legal age in the family. A total of 34,785 heads of households were interviewed in the profiling activity, representing 97,126 IDPs in 56 municipalities and 3 cities. This report presents data on demographic makeup of the IDPs such as age, sex, number of households, and family size, as well as protection information relating to displacement location, place of origin, resettlement, integration; various vulnerabilities of persons with special needs; educational attainment; income livelihood and skills; access to assistance; access to information; civil documentation; property ownership; intent to return; access to information, assistance received, and sources of assistance. Special focus is given on children and women in separate sections of this report. A significant number of IDPs continue to experience gaps in assistance related to health, education, shelter and long-term livelihood support. Also, IDPs continue to experience protection risks due to lack of civil documentation due to loss or destruction of birth certificates. A more nuanced and targeted approach that will address specific protection needs of IDPs is needed.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 13, 2018-February 20, 2019 ... More
    Modified [?]: 13 July 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This study is the result of the socio-demographic and labor analysis of refugee residents in Brazil and represents a milestone in the production of knowledge about the integration of this population into the country. The study shows that most of the interviewees maintain close ties with family, friends and entities located in the countries of origin and, at the same time, demonstrate great knowledge of the Brazilian culture and want to become Brazilian citizens. Nevertheless, they pointed out obstacles to integration, including discriminatory acts. Several factors explain the vulnerability of the refugee population in Brazil: labor market, low wages or insufficient income, difficulty in recognizing diplomas and accessing public or banking services. All these factors, common to a large part of the Brazilian population, have a more striking impact on the quality of life of the refugee population.
  • Time Period of the Dataset [?]: April 17, 2020-May 21, 2020 ... More
    Modified [?]: 30 June 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households. After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only the non-Syrian refugees cases.
  • Time Period of the Dataset [?]: February 21, 2020-February 28, 2020 ... More
    Modified [?]: 30 June 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households. After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only Wave1 fot the non-Syrian refugees cases.
  • Time Period of the Dataset [?]: April 17, 2020-May 15, 2020 ... More
    Modified [?]: 23 June 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households. After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only the Syrian refugees cases.
  • Time Period of the Dataset [?]: February 21, 2020-February 28, 2020 ... More
    Modified [?]: 23 June 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households. After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only Wave1 fot the non-Syrian refugees cases.
  • 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.
  • Time Period of the Dataset [?]: January 01, 1999-December 31, 2018 ... More
    Modified [?]: 14 April 2020
    Dataset Added on HDX [?]: 14 April 2020
    This dataset updates: Every year
    ITN use by children - percentage of children (under age 5) who slept under an insecticide-treated mosquito net the night prior to the survey
  • 1500+ Downloads
    Time Period of the Dataset [?]: December 31, 2018-December 31, 2018 ... More
    Modified [?]: 16 March 2020
    Dataset Added on HDX [?]: 12 March 2020
    This dataset updates: As needed
    Simple, Spatial,Survey Method (S3M) for Sudan
  • 40+ Downloads
    Time Period of the Dataset [?]: April 17, 2018-July 14, 2018 ... More
    Modified [?]: 13 February 2020
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    The closure of the so-called "Balkan route" and the EU-Turkey Statement in March 2016 changed Greece from a transit country to a country hosting a growing population of refugees and asylum seekers. To address the needs of this growing population staying on the Greek mainland, the Greek Government established Open Reception Facilities (ORFs) in Northern and Central Greece. In the beginning of 2016, UNHCR through its partners established urban accommodation schemes to host asylum seekers eligible for relocation as part of the European solidarity measures. The program evolved to focus on the most vulnerable asylum seekers for whom accommodation in the ORFs was unsuitable. The Norwegian Refugee Council (NRC) set up a similar accommodation program in late 2016 also focusing on the most vulnerable. Arrivals at the Greek-Turkish land border increased in late 2017 and as a result a higher number of people started arriving directly to Thessaloniki, without having presented themselves to the authorities at the border. Hence, they were not registered by the Greek authorities and as a consequence lacked access to a dignified shelter, or other forms of basic assistance available to asylum seekers and refugees. The Municipality of Thessaloniki and the humanitarian community jointly decided to conduct a profiling exercise of the refugees and asylum seekers hosted in Thessaloniki as well as Third Country Nationals not registered with the Asylum Service in Thessaloniki. The objective was to explore the extent to which refugees and asylum seekers were moving towards local integration. This was done by looking at their outlook for the future as well as the obstacles and possibilities towards greater economic and socio-cultural integration in Greece. The analysis of persons with no asylum service documentation focused on the key challenges faced by those groups, such as lack of a regularized status and homelessness. The collected data would form a baseline for future integration monitoring and would additionally be a useful tool for the implementation of integration activities as foreseen in national and local strategies for integration. The survey included a total of 861 households. The survey found out that the great majority of refugees and asylum seekers in the accommodation scheme and in the ORF had been in Thessaloniki less than one year. The majority of the households in the accommodation scheme (60%) reported that they intended to stay in Thessaloniki in the long term, and one of the main conditions for being able to integrate locally is finding employment. Amongst the households in the ORF, less than half intended to stay in Thessaloniki (45%) and more than a third (38%) intended to move to another EU country. For those intending to stay, being able to integrate locally was very much linked to finding a different accommodation solution. The households having found their own accommodation were on average living longer in Thessaloniki, as almost half of them had lived in the city for more than one year compared to other groups who have been living in their majority in their accommodation for less than one year. This group of refugees and asylum seekers also included the biggest group reporting that they intended to stay in Thessaloniki longer term (76%). For them the main condition for local integration was access to employment and getting the status of international protection. Accessing employment as a key condition for local integration was also highlighted and confirmed during community consultations with asylum seekers and refugees.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 23 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    Since 2014, UNHCR has undertaken a comprehensive revision of the framework for monitoring UNHCR Livelihoods and Economic Inclusion programs. Since 2017, mobile data collection (survey) tools have been rolled out globally, including in Argentina. The participating operations conducted a household survey to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline (21 observations) and endline data (6 observations) from the same sample beneficiaries.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 23 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    Since 2014, UNHCR has undertaken a comprehensive revision of the framework for monitoring UNHCR Livelihoods and Economic Inclusion programs. Since 2017, mobile data collection (survey) tools have been rolled out globally, including in Ethiopia. The participating operations conducted a household survey to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of endline (147 observations) data.