Abstract

To ensure the centrality of refugees’ voices in discussions about their future, as well as to inform evidence-based inter-agency responses in support of host Governments, UNHCR is leading the regular implementation of intentions surveys with refugees from Ukraine, collecting primary data on their profiles, their current situation and intentions, and the factors influencing their decision-making.

The first, second and third regional intentions surveys were completed and the reports published in July 2022 (https://data.unhcr.org/en/documents/details/94176), September 2022 (https://data.unhcr.org/en/documents/details/95767) and February 2023 (https://data.unhcr.org/en/documents/details/99072). This data was collected during the fourth round, conducted between April and May 2023. The survey covered refugees hosted in countries in Europe.

A mixed methodological approach was used, combining two data collection modes. Around 3,850 refugee households were interviewed either through a phone-based survey, web-based survey or face-to-face interview. The data include a mix of Fresh refugee households (i.e. not included in previous rounds) and Panel households (i.e. those included in at least one of the previous rounds). All surveys used a harmonized questionnaire.

This data is an anonymous version of the original data collected and used for the primary analysis.

Geographic coverage

Europe

Analysis unit

Households

Universe

Refugees from Ukraine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample includes households and individuals who completed this round as well as previous rounds (two and/or three) of the study (sample_type='Panel') and those who only participated in this round (sample_type = 'Fresh'). See more details in the report.

Mode of data collection

Other [oth]

Abstract

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

Geographic coverage

National coverage

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

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

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

Mode of data collection

Other [oth]

Abstract

The 2023 Multi-Sector Needs Assessment (MSNA) in Slovakia presents findings from a regional interagency multi-sectoral assessment conducted with Ukrainian refugees in Slovakia from July to August 2023. The assessment, carried out by SHC and IOM, aimed to capture the needs of and access to basic services for refugees, identify service gaps, and understand refugees' priorities for the coming year to inform response planning. Using a structured questionnaire, the assessment surveyed purposively selected households of refugees from Ukraine, stratified by geographic area and accommodation type. Key topics included health, protection, food security, education, livelihoods, gender-based violence, mental health, cash assistance, and legal needs. As a key source of information for response planning, the 2023 MSNA provides insights into the experiences and priority needs of Ukrainian refugees in Slovakia.

Geographic coverage

Country

Analysis unit

Household

Universe

Households fleeing Ukraine: The assessment aimed to evaluate the profiles and urgent needs of these households as part of a regional exercise for the Ukraine Situation.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2023 Multi-Sector Needs Assessment (MSNA) in Slovakia utilized a simple random sampling method to survey 1,000 households (comprising both private accommodations and collective sites). 80% of the sample was drawn from households in private accommodations, and 20% from collective sites. The sample was stratified by geographic area and accommodation type, using data from the cash registration database and considering district-level refugee population density. This approach ensures that each household had an equal probability of selection, providing representative results of the refugee population's needs across Slovakia.

Mode of data collection

Face-to-face [f2f]

Research instrument

Income, food consumption, expenditures, assets, community relations, wellbeing, resilience, mental health, health, accommodation, protection, and education

Abstract

The aim of the survey was to assess displaced people's access to protection support during the pandemic and absence of in-person services. To do so, the survey assessed awareness and usage of major communication and information channels between refugee communities and UNHCR, identified unaddressed protection issues amongst respondents, and asked about awareness and use of alternative sources for support. The survey targeted registered refugees in the greater Jakarta area as in-person services were suspended for significantly longer here than elsewhere in the country. 426 responses were gathered using IVR (Interactive Voice Response). Only refugees with an active phone number registered were included in the sample. The results paint a picture of these three topics separately as well as identify hidden caseloads and there existing support opportunities.

Geographic coverage

Jakarta

Analysis unit

Individuals

Universe

Registered Refugees in Jakarta metropolitan area, 2022

Kind of data

Sample survey data [ssd]

Sampling procedure

1071 phone numbers were sampled from ProGres database to get 400 responses

Mode of data collection

Computer Assisted Telephone Interview [cati]

Abstract

The 2024 Socio-Economic Insights Survey (SEIS) in Romania is a comprehensive regional assessment conducted from May to July 2024, focusing on the needs of refugees in Romania, particularly those from Ukraine. This multi-sectoral survey aims to capture key data on refugees' socio-economic integration, access to national systems, and their priorities for the coming year, providing valuable insights to inform the 2025 Refugee Response Plan (RRP). The survey employs a stratified random sampling method and involves face-to-face and online interviews with refugees, covering topics such as health, education, protection, food security, and livelihoods. The collected data is anonymized and cleaned for use in policy planning and intervention development. The findings highlight gaps in services and provide crucial information on the changing trends in refugees’ needs, contributing to a more targeted and effective response to refugee challenges in Romania.

Geographic coverage

Romania

Analysis unit

Household

Universe

Ukrainian refugee households in Romania

Kind of data

Sample survey data [ssd]

Sampling procedure

Probability: Stratified random sampling. The sampling frame was constructed using deduplicated databases (Cash and CRI Assistance Lists) with 15,100 households. One strata was added based on the county distribution of Ukrainian households under temporary protection, respecting the UNHCR geographical distribution.

Mode of data collection

Face-to-face interview

Research instrument

Key topics covered include protection, gender-based violence, mental health, socio-economic status, health, accommodation, food security, education, social cohesion, and access to humanitarian aid.

Abstract

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.

Geographic coverage

Urban areas at National Coverage

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

This study is not based on random sampling. The Home Visits survey is an ongoing assessment which aims to interview every refugee household registered with UNHCR outside camps. The survey went through many different versions which included major changes in variables and sections content, for this reason it is not possible to fully compare the different versions with each other. Whenever possible, though, the various dataset versions have been harmonized so that variables containing the same kind of information were renamed with the same name. You can see all the versions available in the Microdata Library in the “Related studies” tab.

Mode of data collection

Face-to-face [f2f]

Abstract

The Vulnerability Assessment Framework (VAF) is a key tool used by humanitarian and development organizations in Jordan. It contributes to coherent vulnerability identification and programme delivery across sectors. It was designed in 2014 with a focus on Syrian refugees residing outside of camps.

For the fifth bi-annual VAF population study in 2022, 6,427 refugee households residing in host communities were randomly sampled across all governorates to explore thematic and sectoral vulnerabilities for refugee populations of all nationalities within Jordan. This data was collected in person between July 2021 and October 2021.

Geographic coverage

Whole country host communities (excluding camps).

Analysis unit

Household, Case (family), Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

The stratified sampling strategy was developed jointly with the World Bank and designed to generate the most precise statistics possible and at the lowest possible cost and to allow for representativeness at a margin of error below 5%. Stratification was planned along two variables: nationality (Syrian, Iraqi and Other) and location. Syrians were represented across the twelve governorates, while non-Syrians were represented across the regions of Jordan; Amman, Central/outside Amman (consisting of Balqa, Madaba and Zarqa), North (consisting of Ajloun, Irbid, Jerash, Mafraq) and South (consisting of Aqaba, Karak, Tafilah, Ma'an). The sample was randomly drawn from cases registered in the ProGres registration database administered by UNHCR Jordan. The sample includes refugees residing in urban, peri-urban and rural settings and excludes those living in refugee camps.

Mode of data collection

Face-to-face [f2f]

Research instrument

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

Abstract

The Forced Displacement Survey (FDS) is UNHCR’s new flagship household survey programme designed to standardize, streamline, and build on the existing UNHCR survey landscape to produce high-quality and timely data on people forced to flee. The FDS is comparable across countries over time and aligned with international statistical standards. It has the purpose of providing actionable evidence to inform the government’s operational and policy-related data needs, as well as its humanitarian and development partners.
As a multi-topic survey, the FDS collected household and individual level data on the socioeconomic characteristics and living conditions of targeted populations. Data was collected through face-to-face household interviews, where up to four household members aged 15 and above were interviewed: (1) the head of the household or a household member who was knowledgeable about the household; (2) a randomly selected household member who provided information about individual life experiences; (3) the caregiver of a randomly selected child under five years of age; and (4) a randomly selected woman who gave birth in the last two years. South Sudan was the first pilot country where FDS has been implemented. South Sudan hosted refugees since its independence in 2011, despite facing multiple social challenges and internal conflicts. By April 2024 South Sudan hosted 450,000 refugees, mostly from Sudan, Burundi, the Central African Republic, and other countries. The FDS in South Sudan collected data on a nationally representative sample of registered refugees and on a sample of the national population living in proximity of refugees located in the north of South Sudan. Data collection occurred between April and December 2023. The final realized sample of the FDS in South Sudan was composed of around 3,000 households, all located in rural areas. Among them, 68 per cent are refugee households and 32 per cent belong to host communities.

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

FDS survey features up to 4 distinct interviews and aims to represent their respective populations: • Refugee households, • Adults aged 15 and over, • Children under the age of 5 and • Women who gave birth within 2 years prior to the interview. The microdata features weights to correctly represent these populations.

The sampling design identified 5 distinctive sampling strata: • Refugees in Pariang county • Refugees in Mabane county • Refugees in Central Equatoria, West Equatoria and Jonglei • Hosts in Pariang county • Hosts in Mabane county

The main sampling principle assumed equal sample size for each identified stratum. Due to late changes in the survey design oversampling of refugees in Pariang and Mabane county was introduced in order to achieve more analytical power at the levels below the identified strata.

Mode of data collection

Computer Assisted Personal Interview [capi]

Abstract

The socio-economic desk score dataset includes the socio-economic scores of the households that have taken the 2020 Vulnerability Assessment of Syrian Refugees (VASyR) assessment. The desk score is a Proxy Means Test (PMT) score, available for all population, that predicts the economic vulnerability of households. The dataset includes the desk scores of the case numbers since 2016. In Lebanon, the desk score is revised annually and used by Lebanon Crisis Response Plan (LCRP) cash actors for the identification and selection of beneficiaries for multi-purpose cash assistance.

Geographic coverage

National coverage

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

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

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

Mode of data collection

Other [oth]

Abstract

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.

Geographic coverage

Urban areas at National Coverage

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

This study is not based on random sampling. The Home Visits survey is an ongoing assessment which aims to interview every refugee household registered with UNHCR outside camps. The survey went through many different versions which included major changes in variables and sections content, for this reason it is not possible to fully compare the different versions with each other. Whenever possible, though, the various dataset versions have been harmonized so that variables containing the same kind of information were renamed with the same name. You can see all the versions available in the Microdata Library in the “Related studies” tab.

Mode of data collection

Face-to-face [f2f]

Abstract

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

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

Geographic coverage

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

Analysis unit

Households

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

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

Mode of data collection

Face-to-face [f2f]

Abstract

Since the onset of the Syrian crisis, the humanitarian community has increasingly relied on cash-based assistance provided from donor contributions and implemented by aid partners under the Lebanon Crisis Response Plan to support the affected population. In November 2017, the World Food Programme (WFP) joined the United Nations High Commissioner for Refugees (UNHCR) and non-governmental organisations (NGO) in the delivery of multi-purpose cash (MPC) to assist the most economically vulnerable Syrian refugee households to meet their basic needs.

This study aims to measure the short-term (12 months or less) and long-term (more than 12 months) causal impact of the $173.50 and $175 MPC assistance provided by WFP and UNHCR respectively, over and above the $27 per person per month assistance, as well as the impact of discontinuation from MPC on the well-being of Syrian refugees. This report presents the causal impact on multiple dimensions of well-being, namely household expenditures, food security, housing, water, sanitation and hygiene (WASH), education, employment, health and decision-making.

The key take-away messages from the study are: 1. The impact of MPC materialised across most dimensions of well-being in the long-term, indicating the importance of households' access to a longer duration of MPC. 2. The benefits of MPC fade for many indicators within 4 to 10 months after discontinuation, and households' well-being returned to pre-assistance levels for most indicators, and dropped slightly below the pre-assistance baseline for others. 3. The findings would suggest that there are benefits to instituting longer cash cycles and/or linking MPC to other services through a 'cash plus' approach to expand and extend the positive impact of cash on beneficiary households and ensure sustainable impact.

A total of 11,457 households were visited and used in this analysis, which constitutes one of the largest samples among impact evaluations conducted in Lebanon to date.

Analysis unit

Household and individual.

Kind of data

Sample survey data [ssd]

Sampling procedure

A total of 11,457 households were visited and used in this analysis, which constitutes one of the largest samples among impact evaluations conducted in Lebanon to date. The impact evaluation used a quasi-experimental fuzzy regression discontinuity design, which enables estimation of the causal impact of MPC after different enrolment periods in the programme (rather than producing simple correlations). For this purpose, a multi-sectoral household survey was collected across three regions in Lebanon (Bekaa, North, and Mount Lebanon), where 85 per cent of Syrian refugees and 94 per cent of MPC beneficiaries live, over three waves of data collection held in July/ August 2018, February/March 2019, and July/August 2019. The multiple rounds of data collection allowed for the measurement of effects that materialise at different points in time and enabled the validation of the detected impact. Furthermore, collecting data in the summer and winter made it possible to account for seasonal variations, and accessing administrative data from UNHCR on other assistance programmes targeting the population of interest made it possible to append this information and distinguish between the effect of MPC and other programmes. WFP and UNHCR cash assistance beneficiaries are selected based on a proxy means testing formula that constructs a vulnerability score for each household based on a set of socio-demographic characteristics from the UNHCR database. This score predicts the per capita expenditure level of households and is used to rank them from most to least vulnerable. All households with a score below the SMEB are eligible for MPC. However, due to budgetary constraints, only about 29 per cent of eligible households currently receive the MPC package. WFP follows a bottom-up approach by including in the programme households starting from the lowest scores and moving up the scores until the allocated funding is fully disbursed. UNHCR employs a geographical bottomup targeting approach by including the most vulnerable households in each geographic region until it reaches the regions allocated proportion given its budget constraints. Accordingly, the point at which the funding is fully disbursed creates an artificial cut-off line. This creates a quasi-natural experiment where households on either side of the cut-off are plausibly similar along observable and unobservable characteristics. As a result, the argument is that the only difference is the receipt of MPC. Thus, any differences in outcomes between households are attributable to the amount of cash assistance received, which allows for measuring the causal impact of the MPC. Notably, because the annual recalibration of the targeting formula that determines a households eligibility for MPC occurred prior to the collection of wave 2 data, this uniquely positioned the study to measure the impact of discontinuation on affected household.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire included the following sections: demographics, education, employment, health, food, housing, economic situation, accountability.

Abstract

A multi-sectoral needs assessment was conducted in Poland between July 13, 2023 and August 21, 2023, surveying 5,645 households comprising 13,421 individuals. The assessment aimed to capture the needs of refugees in Poland, understand their level of access to basic services, how their needs are currently being met, gaps in services, and priorities for the refugee response in the coming year. Key findings will inform the 2024 Regional Refugee Response Plan for Poland, providing critical data on priorities and funding requirements to support refugees. With 5,645 households surveyed across multiple sectors, the assessment provides a robust evidence base to shape a more effective, responsive refugee program in Poland.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2023 Multi-Sector Needs Assessment survey in Poland sampled 5,645 Ukrainian refugee households selected based on geography.

Mode of data collection

Face-to-face [f2f]

Research instrument

Income, food consumption, expenditures, assets, community relations, wellbeing, resilience, mental health, health, accommodation, protection, and education

Abstract

In January 2021, the United Nations High Commissioner for Refugees (UNHCR) and the World Food Programme (WFP) undertook an assessment of refugees from Burundi in the Lusenda and Mulongwe refugee camps in South Kivu, Democratic Republic of the Congo (DRC). The objective of the assessment was to assess the relevance of UNHCR and WFP's targeting in the context of Burundian refugees and possibly develop a targeting strategy harmonized as much as possible with other refugee populations in DRC.

A secondary objective was to introduce barcodes linked to unique identifiers used in registration. This vulnerability assessment was conducted through an exhaustive inventory of all refugee households living in the Lusenda and Mulongwe camps (South Kivu) as well as those living outside the camps and who went to the interview locations in the camps. The survey targeted Burundian refugee households assisted by WFP and UNHCR. The data collected during the survey are quantitative and were supplemented by qualitative data collected in February 2021 in the camps of Lusenda and Mulongwe through four focus group discussions per camp for a total of eight focus groups. All refugee households in Lusenda and Mulongwe camps as well as those living outside the camp, were interviewed with a core set of questions (see variable TypeEnquete, response Ciblage). In addition, 7% of households, randomly selected, participated in a more detailed interview (see variable TypeEnquete, response Exhaustive). A total of 7,873 households were selected.

This dataset represents an anonymous version of the original dataset. A sample of the original dataset was drawn as part of the anonymization. The sample was stratified by camp (Lusenda or Muolongwe) and the type of survey (Ciblage or Exhaustive). All respondents that were part of the Exhaustive survey were preserved, while a random sample of the respondents that were part of the Ciblage survey was taken. The variable strata defines which records correspond with which group, and survey_weight provide the final weights.

Geographic coverage

Lusenda and Mulongwe refugee camps in South Kivu.

Analysis unit

Households

Universe

Refugees from Burundi living in Lusenda and Mulongwe refugee camps in South Kivu

Kind of data

Sample survey data [ssd]

Sampling procedure

The original dataset was a full enumeration for a core set of questions related to demographics, livelihoods and assets (TypeEnquete ciblage). A random sample of households were selected to answer an additional set of supplementary questions relating to their livelihoods, food consumption and coping strategies (TypeEnquete exhaustive). The anonymous data published on the Microdata Library is a stratified random sample of the original dataset. Data is stratified by by site (Lusenda and Mulongwe) and further more into the group of households that was asked only the base questions (ciblage) and the group of households that was asked the base questions and additional supplementary questions (exhaustive).

Mode of data collection

Face-to-face [f2f]

Abstract

The 2023 Multi-Sector Needs Assessment (MSNA) in Czechia presents findings from a regional interagency multi-sectoral assessment conducted with Ukrainian refugees. The assessment, carried out by SHC and IOM, aimed to evaluate refugee households' access to basic services, identify service gaps, and understand priorities for the coming year to inform response planning. Using a structured questionnaire, the assessment surveyed purposively selected households, stratified by geographic area and accommodation type. Key topics included health, protection, food security, education, livelihoods, gender-based violence, mental health, cash assistance, and legal needs. The MSNA 2023 provides key insights into the needs and experiences of Ukrainian refugees in Czechia, shaping the 2024 Refugee Response Plan. The dataset has been anonymized for publication under Licensed Use on UNHCR's Microdata Library.

Geographic coverage

Country

Analysis unit

Household

Universe

Households fleeing Ukraine: The assessment aimed to evaluate the profiles and urgent needs of these households as part of a regional exercise for the Ukraine Situation.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2023 Multi-Sector Needs Assessment (MSNA) in Czechia used a purposive sampling method, with households selected based on geographic area and accommodation type (inside or outside collective sites). The sample included 1,218 households and 2,648 individuals. Although the data is not statistically representative of the entire refugee population, it provides indicative insights into the needs and priorities of Ukrainian refugees residing in various regions of Czechia.

Mode of data collection

Face-to-face [f2f]

Research instrument

Income, food consumption, expenditures, assets, community relations, wellbeing, resilience, mental health, health, accommodation, protection, and education

Abstract

The World Bank 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 policy. This dataset contains information from eight waves of the COVID-19 RRPS, which is part of a panel survey that targets Kenyan nationals 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 data set contains information from two samples of Kenyan households. The first sample is a randomly drawn subset of all households that were part of the 2015/16 Kenya Integrated Household Budget Survey (KIHBS) Computer-Assisted Personal Interviewing (CAPI) pilot and provided a phone number. The second was obtained through the Random Digit Dialing method, by which active phone numbers created from the 2020 Numbering Frame produced by the Kenya Communications Authority are randomly selected. The samples cover urban and rural areas and are designed to be representative of the population of Kenya using cell phones. Waves 1-7 of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge and vaccinations. 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; 4,061 Kenyan households Wave 2: July 16 to September 18, 2020; 4,492 Kenyan households Wave 3: September 28 to December 2, 2020; 4,979 Kenyan households Wave 4: January 15 to March 25, 2021; 4,892 Kenyan households Wave 5: March 29 to June 13, 2021; 5,854 Kenyan households Wave 6: July 14 to November 3, 2021; 5,765 Kenyan households Wave 7: November 15, 2021, to March 31, 2022; 5,633 Kenyan households Wave 8: May 31 to July 8, 2022: 4,550 Kenyan households

The same questionnaire is also administered to refugees in Kenya, with the data available in the UNHCR microdata library: https://microdata.unhcr.org/index.php/catalog/296/

Geographic coverage

National coverage covering rural and urban areas

Analysis unit

Household, Individual

Sampling procedure

The COVID-19 RRPS with Kenyan households has two samples. The first sample consists of households that were part of the 2015/16 KIHBS CAPI pilot and provided a phone number. The 2015/16 KIHBS CAPI pilot is representative at the national level stratified by county and place of residence (urban and rural areas). At least one valid phone number was obtained for 9,007 households and all of them were included in the COVID-19 RRPS sample. The target respondent was the primary male or female household member from the 2015/16 KIHBS CAPI pilot. The second sample consists of households selected using the Random Digit Dialing method. A list of random mobile phone numbers was created using a random number generator from the 2020 Numbering Frame produced by the Kenya Communications Authority. The initial sampling frame therefore consisted of 92,999,970 randomly ordered phone numbers assigned to three networks: Safaricom, Airtel and Telkom. An introductory text message was sent to 5,000 randomly selected numbers to determine if numbers were in operation. Out of these, 4,075 were found to be active and formed the final sampling frame. There was no stratification and individuals that were called were asked about the households they live in. Until wave 7 sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. In wave 8 only households that had previously participated in the survey were contacted for interview. The “wave” variable represents in which wave the households were interviewed in.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was administered in English and is provided as a resource in pdf format. Additionally, questionnaires for each wave are also provided in Excel format coded for SCTO. The same questionnaire is also administered to refugees in Kenya, with the data available in the UNHCR microdata library: https://microdata.unhcr.org/index.php/catalog/296/

Abstract

The survey aims to understand refugee children’s access to education in the age between 3 to 18 and their needs for the government’s assistance in public school enrolment.

Geographic coverage

The survey covers refugee households with children between the ages of 3 and 18.

Analysis unit

Households

Universe

Refugee children in China 2021

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not Applicable

Mode of data collection

Face-to-face [f2f]

Abstract

Between June and September 2021, a group of internally displaced persons (IDPs) were evicted from pastoral sites in Batangafo, Ouham prefecture, Central African Republic. They eventually settled in Bambari, Ouaka prefecture. UNHCR in partnership with ACTED, IOM, INTERSOS and PARET undertook a study of the intentions of the IDPs to return to their place of origin. The study took place from 8 to 13 September, and included all 1,670 IDP households or 8,134 individuals living in Bambari. This data is an anonymous version of the original data. A 20% sample of the original data, representing 335 households or 1,659 individuals, was drawn before the data were anonymized for public distribution.

Geographic coverage

Bambari, Ouaka, Central African Republic

Analysis unit

Household

Universe

all IDPs living in Bambari

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was a complete enumeration. The anonymous version published on the Microdata Library is a 20% sample of original data, stratified by prefecture of origin (origine_prefecture).

Mode of data collection

Face-to-face [f2f]

Abstract

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Geographic coverage

National coverage

Analysis unit

Household

Universe

All people of concern.

Kind of data

Sample survey data [ssd]

Sampling procedure

In the absence of a well-developed sampling-frame for forcibly displaced populations in the Americas, the High Frequency Survey employed a multi-frame sampling strategy where respondents entered the sample through one of three channels: (i) those who opt-in to complete an online self-administered version of the questionnaire which was widely circulated through refugee social media; (ii) persons identified through UNHCR and partner databases who were remotely-interviewed by phone; and (iii) random selection from the cases approaching UNHCR for registration or assistance. The total sample size was 829 households. At the time of the survey, the population of concern was estimated at around 500000 individuals.

Mode of data collection

Other [oth]

Research instrument

The questionnaire contained the following sections: journey, family composition, vulnerability, basic Needs, coping capacity, well-being, COVID-19 Impact.

Abstract

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Geographic coverage

National coverage

Analysis unit

Household

Universe

All people of concern.

Kind of data

Sample survey data [ssd]

Sampling procedure

In the absence of a well-developed sampling-frame for forcibly displaced populations in the Americas, the High Frequency Survey employed a multi-frame sampling strategy where respondents entered the sample through one of three channels: (i) those who opt-in to complete an online self-administered version of the questionnaire which was widely circulated through refugee social media; (ii) persons identified through UNHCR and partner databases who were remotely-interviewed by phone; and (iii) random selection from the cases approaching UNHCR for registration or assistance. The total sample size was 147 households. At the time of the survey, the population of concern was estimated at around 420000 individuals.

Mode of data collection

Other [oth]

Research instrument

The questionnaire contained the following sections: journey, family composition, vulnerability, basic Needs, coping capacity,well-being,COVID-19 Impact.