Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • Updated 1 August 2021 | Dataset date: March 29, 2021-June 13, 2021
    This dataset updates: Never
    The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
  • Updated 18 July 2021 | Dataset date: April 16, 2020-May 17, 2020
    This dataset updates: Never
    The enrolment of Internally Displaced Persons (IDPs) was conduced in Maradi, Tahoua and Tillaberi in Niger by the Government through the National Committee for Data Collection and Information Management on Internally Displaced Persons in Niger established in October 2019. The Committee acts in these regions with the technical support of UNHCR. Its aim is to ensure an adequate protection response for IDPs following the attacks perpetrated by non-state armed groups in their villages. The enrolment helped to identify the socio-economic profile of IDPs and their needs, detect potential cases of statelessness, and ease the aid of the humanitarian community. The enrolment data contain information on heads of households, family composition, specific needs of household members, documents held by family members, reasons for displacement, places of origin and current location. In Tahoua, 6,955 households were registered between May and October 2020. They originated from Tahoua, Tillia and other departments in the Tahoua region of Niger. The data provided here is a sample of the original data.
  • Updated 18 July 2021 | Dataset date: March 07, 2020-October 06, 2020
    This dataset updates: Never
    The enrolment of Internally Displaced Persons (IDPs) was conduced in Maradi, Tahoua and Tillaberi in Niger by the Government through the National Committee for Data Collection and Information Management on Internally Displaced Persons in Niger established in October 2019. The Committee acts in these regions with the technical support of UNHCR. Its aim is to ensure an adequate protection response for IDPs following the attacks perpetrated by non-state armed groups in their villages. The enrolment helped to identify the socio-economic profile of IDPs and their needs, detect potential cases of statelessness, and ease the aid of the humanitarian community. The enrolment data contain information on heads of households, family composition, specific needs of household members, documents held by family members, reasons for displacement, places of origin and current location. In Maradi, 2'169 households were registered between April and September 2020. They originated from 9 communes in Guidan Roumji, Madarounfa and other departments in the Maradi region of Niger. The data provided here is a sample of the original data.
  • Updated 18 July 2021 | Dataset date: March 07, 2020-October 06, 2020
    This dataset updates: Never
    The enrolment of Internally Displaced Persons (IDPs) was conduced in Maradi, Tahoua and Tillaberi in Niger by the Government through the National Committee for Data Collection and Information Management on Internally Displaced Persons in Niger established in October 2019. The Committee acts in these regions with the technical support of UNHCR. Its aim is to ensure an adequate protection response for IDPs following the attacks perpetrated by non-state armed groups in their villages. The enrolment helped to identify the socio-economic profile of IDPs and their needs, detect potential cases of statelessness, and ease the aid of the humanitarian community. The enrolment data contain information on heads of households, family composition, specific needs of household members, documents held by family members, reasons for displacement, places of origin and current location. In Tillaberi, 4,859 households were registered between May and October 2020. They originated from 16 communes in Abala, Ayerou, Balleyara, Bankilare, Gotheye, Ouallam, Tera, Tillaberi and Torodi departments in the Tillaberi region of Niger. The data provided here is a sample of the original data.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Never
    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.
  • Updated 4 July 2021 | Dataset date: November 01, 2020-November 30, 2020
    This dataset updates: Never
    To allow for a proper understanding of the extent of the impact of COVID-19 on refugees in Uganda, the need was identified to carry out a Rapid Gender Assessment (RGA) to assess the impact of the pandemic on women, men, girls and boys of diverse backgrounds, including persons with disabilities, older persons and those with serious medical conditions. This assessment was conducted both in Kampala and across refugee settlements. A mixed methods approach was used to address the central objectives of the study, including a review of secondary sources, a household survey and a key informants interview. The household survey targeted 1535 individuals, including vulnerable groups such as child heads of household, persons living with disabilities, and persons with serious medical conditions. The final locations included within the sample were Kampala, Kyaka II, Nakivale, Oruchinga, Adjumani, Bidibidi, Imvepi, Kiryandongo, Lobule and Rhino Camp. Those locations were selected to ensure that all regions and population groups were represented in the final sample of respondents.
  • 100+ Downloads
    Updated 23 June 2021 | Dataset date: June 18, 2020-June 18, 2020
    This dataset updates: As needed
    This dataset contains 22 data tables on global trends in forced displacement in 2019. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
  • 10+ Downloads
    Updated 22 June 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: As needed
    This dataset contains 22 data tables on global trends in forced displacement in 2020. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
  • Updated 16 June 2021 | Dataset date: June 01, 2019-August 31, 2019
    This data is by request only
    Primary data will be collected by means of a household-level survey designed with the participation of the humanitarian clusters in Somalia. Cluster leads are asked to outline information gaps and the type of data required to inform their strategic plans. Key indicators are developed by REACH with the substantive input of participating partners, and subsequently validated by the clusters. REACH will draft the household survey tool through an iterative consultation process with cluster partners and OCHA and is aligned, as much as possible, with the Joint Inter-Sectoral Analysis Framework (JIAF) which will serve as a common and structured method for assessing the severity of needs across different clusters. The assessment will use stratified cluster sampling at the district level using settlements as the clusters and households as the unit of measurement. For some districts, 2-stage stratified random sampling will be used instead of stratified cluster sampling for large urban centres, if it proves to be more efficient and logistically feasible for data collection. The sample will be stratified by population group, disaggregated by non-displaced communities, and IDP settlements; the sample will be further stratified by district to ensure coverage and comparison across the entire country (with the exception of inaccessible areas). In the case of cluster sampling, the minimum cluster size will be set to 6 households. The sample size will be adjusted for the design effect and will enable generalisation of the results to each of the two population strata in each district, with a 90% confidence level and a 10% margin of error.
  • Updated 27 May 2021 | Dataset date: April 01, 2019-May 30, 2019
    This dataset updates: Never
    The South Sudan situation is currently the largest refugee situation on the African continent. There are over 2.2 million refugees spread across Sudan, Uganda, Ethiopia, Kenya, the Democratic Republic of the Congo (DRC), and the Central African Republic (CAR) a further 1.8 million people are displaced internally in South Sudan. An estimated 140,000 South Sudanese spontaneously returnees are reported to have returned to South Sudan from November 2018 to date. The South Sudan situation continues to be characterized as a children's tragedy with children constituting over 65 percent of the refugee population. The Revitalised Agreement for the Resolution of the Conflict in the Republic in South Sudan (R-ARCSS) foresees the formation of a Government of National Unity (GNU) with all the parties in agreement including the leader of the SPLA IO and first vice president by May 2019. In November 2018, it was agreed during the Kampala Representatives meeting that intention surveys should be conducted for South Sudanese refugees in all countries of asylum. This was further concretized in March 2019, during the EHA/GLR planning meeting; here it was decided that UNHCR country representations of CAR, Kenya, Uganda, DRC, Sudan, Ethiopia would ensure that a rapid intention survey of South Sudanese refugees in their respective asylum countries is carried out before May 2019, in line with the agreed calendar of the R-ARCSS The Intention Survey was a cross-sectional survey conducted among the over 2.2 million South Sudanese refugees living in six countries of asylum using a stratified random sampling approach to survey 6,964 refugees (heads of households) in 15 camps selected across the region. In each location, sample size estimation assumed a 95 per cent confidence level, and a margin of error of 7 per cent; sample was drawn taking into account the location, place of origin, ethnicity, year of arrival to the country of asylum and gender of the head of household. The confidence intervals were taken into consideration in all the tables and analysis. Security, access and logistical constraints restricted sampling in some locations, therefore weighting was applied to adjust for unequal selection probabilities in each of the 15 locations. The findings of this report are representative of the return intentions of refugee households in these 15 camps. Data was collected through in-person interviews using a harmonised survey that was conducted concurrently in the six countries in May 2019 with a mobile data collection tool (KoBo Toolkit). Questionnaires were administered to consenting refugees aged 12 years and above. Children below 12 years of age were excluded from the survey.
  • 20+ Downloads
    Updated 27 May 2021 | Dataset date: December 01, 2019-March 30, 2020
    This dataset updates: Never
    Multiple causes for displacement, all too often underpinned by violence and persecution, has led to over 800,000 Central Americans fleeing their homes, beginning in 2013. Year after year, there has been an increase in individuals fleeing. This was marked initially by especially large numbers of unaccompanied children, then joined in around 2018 with dramatic increases in families units fleeing Central America. Families are forced to flee together as violent threats and persecution by criminal groups in communities extend beyond individuals to entire family units. Given these shifting dynamics in human mobility in these countries, UNHCR and UNICEF, through the Interdisciplinary Development Consultants, CID Gallup, decided to undertake this study with the aim of understanding and giving visibility to the forced displacement of families that flee northern Central America. In addition, the study also seeks to shed light on the current trends, protection risks and factors associated to the forced displacement and migration of unaccompanied and separated children. For this purpose, Gallup conducted 3,104 surveys, complemented by focus group sessions segmented according to the geography of displacement in the region: country of origin, of transit and of asylum. Additionally, interviews were undertaken with families who were part of large mixed movement "caravans" that left Honduras at the beginning of 2020.
  • Updated 26 May 2021 | Dataset date: March 16, 2020-May 23, 2020
    This dataset updates: Never
    The present PDM was conducted under time and resource constraints related to COVID-19 emergency. Due to the restrictions on public gathering and partial restrictions on movements, the survey findings could not have been triangulated with the FGDs or market assessment, which will be an integral part of all subsequent PDMs. The PDM household survey data collection took place over three days on 25 - 27 March 2020. ProGres V4 data of Kalobeyei persons of concern was used as a sampling frame, with a sample drawn using stratified random sampling based on random numbers generation. The original sample included over 400 households (adjusted for a non-response rate) aiming at a confidence level of 95% with a confidence interval of 5. However, the enumerators managed to conduct 457 interviews with respondents added through convenience sampling. Due to poor quality of some of the records, however, only 388 data entries were validated. This nevertheless allows us to remain within the same degree of precision in the inference, although affected by a bias linked to a non-probability sampling.
  • Updated 26 May 2021 | Dataset date: May 14, 2020-July 17, 2020
    This dataset updates: Never
    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.
  • Updated 26 May 2021 | Dataset date: July 16, 2020-September 18, 2020
    This dataset updates: Never
    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.
  • Updated 26 May 2021 | Dataset date: July 15, 2020-September 29, 2021
    This dataset updates: Never
    Assessment of the impact of the COVID-19 pandemic on food security, livelihoods and local markets for refugees in urban areas.
  • Updated 26 May 2021 | Dataset date: May 14, 2020-July 07, 2020
    This dataset updates: Never
    This dataset contains information from five waves of the COVID-19 RRPS, which is a bi-monthly panel survey that targets Kenyan nationals and refugees and started in May 2020. The same households are interviewed every two months, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. Sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. The “wave” variable represents in which wave the households were interviewed in. All waves of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge. The data set contains 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 child level file, which contain information for every child in the household. Each child in a household is uniquely identified by the ‘child_id’. The duration of data collection for each wave was: Wave 1: May 14 to July 7, 2020 Wave 2: July 16 to September 18, 2020 Wave 3: September 18 to November 28, 2020 Wave 4: January 15 to March 25, 2021 Wave 5: March 29 to June 13, 2021 The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
  • Updated 26 May 2021 | Dataset date: June 02, 2020-June 26, 2020
    This dataset updates: Never
    UNHCR in Cameroon organized an assessment on the socioeconomic impact of COVID-19 on refugees, IDPs and host communities in the Extreme North of Cameroon. The objective of the assessment was to evaluate the impact on the food security and livelihood situation in rural areas. 698 people were interviewed over the phone to collect household-level data for the exercise.
  • Updated 26 May 2021 | Dataset date: May 06, 2020-May 20, 2020
    This dataset updates: Never
    UNHCR in Cameroon in partnership with WFP organized a rapid assessment on the socioeconomic impact of COVID-19 on Central African refugees in the eastern part of the country. The objective of the assessment was to understand the socioeconomic impact on refugee households livelihoods and estimate their resilience capacity in the case of a lock down due to the pandemic. The study aimed to identify the economic activities undertaken by refugees in the area, identify which of these activities and related sectors was or could be most impacted and propose a response plan to respond to shocks and reinforce the resilience capacity. 275 people were interviewed over the phone to collect data for the assessment.
  • Updated 26 May 2021 | Dataset date: September 28, 2020-November 30, 2020
    This dataset updates: Never
    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.