• Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: September 15, 2020-October 15, 2020 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    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. This wave focuses on: livelihoods, economic vulnerability, living conditions, access to health services, food and livelihood coping strategies, covid-19. This dataset includes only the non-Syrian refugees cases.
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 15, 2020-October 15, 2020 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    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. This wave focuses on: livelihoods, economic vulnerability, living conditions, access to health services, food and livelihood coping strategies, covid-19. This dataset includes only the Syrian refugees cases.
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 21, 2019-December 18, 2019 ... More
    Modified [?]: 16 March 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    20+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More
    Modified [?]: 28 February 2021
    Dataset Added on HDX [?]: 28 February 2021
    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.
    40+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees
  • Time Period of the Dataset [?]: May 14, 2020-July 07, 2020 ... More
    Modified [?]: 26 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Kenya - Socio-economic impact of COVID-19 on refugees
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 21 February 2021
    Dataset Added on HDX [?]: 21 February 2021
    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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 15, 2020-September 29, 2021 ... More
    Modified [?]: 19 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    Assessment of the impact of the COVID-19 pandemic on food security, livelihoods and local markets for refugees in urban areas.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2018 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 16 February 2021
    Dataset Added on HDX [?]: 26 May 2021
    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
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Jordan Home Visits Survey
  • Time Period of the Dataset [?]: November 19, 2016-November 30, 2016 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: May 05, 2016-May 25, 2016 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: May 11, 2017-May 29, 2017 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    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).
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
  • Time Period of the Dataset [?]: April 16, 2018-May 04, 2018 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    The Vulnerability Assessment for Syrian Refugees in Lebanon (VASyR-2018) was conducted jointly by the United Nations Children’s Fund (UNICEF), United Nations High Commissioner for Refugees (UNHCR) and the United Nations World Food Programme (WFP, dataviz.vam.wfp.org). Now in its sixth year, the Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) assesses a representative sample of Syrian refugee families to identify changes and trends in their situation. The Government of Lebanon estimates that the country hosts 1.5 million Syrian refugees who have fled their country’s conflict since 2011 (including nearly one million registered with UNHCR as of end of September 2018). The Syrian refugee population in Lebanon remains the largest concentration of refugees per capita and the fourth largest refugee population in the world. VASyR includes a sample of 4,446 Syrian refugee households from 26 districts across Lebanon. The assessment demonstrates that despite the large scale assistance and the efforts of Lebanon and its partners that have resulted in improvements in economic vulnerability and stabilization in education, food security and some improvements in the situation for women, girls and female-headed households, Syrian refugees still remain very vulnerable. The economic context remains precarious and the protection needs to persist.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Lebanon - Vulnerability Assessment of Syrian Refugees
  • Time Period of the Dataset [?]: February 01, 2018-July 14, 2018 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    UNHCR requested REACH to facilitate a JMSNA, with support from ECHO with the objective of establishing a comprehensive evidence-base of multi-sectoral needs among refugee and host community populations across all existing refugee settlements nationwide (30) and the districts hosting these settlements (11). The report also incorporates findings on needs among refugee and host community populations living in vulnerable urban neighbourhoods of Kampala. The findings and analysis from this report has been used to support the Refugee Response Plan for 2019-2020, along with informing other programmatic, strategic, and operational decision making for the humanitarian response coordinators and partner organisations. The JMSNA aims to compare humanitarian needs across population groups and locations in order to highlight groups and areas of most concern. Consequently, it aims to answer the following research question: what is the situation for specific population groups (refugees residing within refugee settlements and host community populations) in Uganda regarding health and nutrition; water, sanitation, and hygiene (WASH); livelihoods, environment and energy; shelter, site planning, and non-food items; education; and food security. The JMSNA process in Uganda began in February 2018, with REACH facilitating the research design under the auspices of UNHCR and Uganda’s Office of the Prime Minister (OPM). Through the inter-agency coordination group and other coordination mechanisms, a collaborative tool was developed with input from many partners. Data collection was conducted from 2 April to 14 July, 2018, in all 30 refugee settlements. Data collection was carried out in Kampala from 6 to 16 March and 28 March to 9 April to assess the needs of refugee and host community households in vulnerable urban neighbourhoods of Kampala. Project URL: https://www.reachresourcecentre.info/country/uganda/theme/multi-sector-assessments/cycle/1252/#cycle-1252
    30+ Downloads
    This dataset updates: Never