Data Datasets [12] | Archived Datasets[0] [?]
Refine your search: Clear all
Data series [?]:
More
Licenses:
  • Time Period of the Dataset [?]: April 27, 2023-May 13, 2023 ... More
    Modified [?]: 5 December 2024
    Dataset Added on HDX [?]: 24 September 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Peru from April 2023 to May 2023 at national level.
  • Time Period of the Dataset [?]: July 11, 2022-July 30, 2022 ... More
    Modified [?]: 1 November 2023
    Dataset Added on HDX [?]: 20 November 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Guatemala in July 2022 at national level.
  • Time Period of the Dataset [?]: October 18, 2022-November 19, 2022 ... More
    Modified [?]: 5 October 2023
    Dataset Added on HDX [?]: 20 November 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Trinidad and Tobago from October 2022 to November 2022 at national level.
  • Time Period of the Dataset [?]: September 19, 2022-November 10, 2022 ... More
    Modified [?]: 13 September 2023
    Dataset Added on HDX [?]: 24 September 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. This RMS took place in Brazil from September 2022 to November 2022 at national level.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 12, 2022-December 05, 2022 ... More
    Modified [?]: 7 September 2023
    Dataset Added on HDX [?]: 11 June 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Survey (RMS) has the objective of monitoring the impact and outcome of UNHCR's assistance on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. UNHCR Iraq has authorized IMPACT to undertake a Results Monitoring Survey targeting IDP/returnee and refugee families, including beneficiaries and non-beneficiaries, throughout Iraq in 2022 to assist in internal monitoring of results and impact indicators. This survey will help UNHCR create and execute successful interventions for Iraqi IDP/returnee and refugee families by providing vital information on their well-being and living situations.
  • Time Period of the Dataset [?]: September 12, 2022-January 11, 2023 ... More
    Modified [?]: 4 July 2023
    Dataset Added on HDX [?]: 9 July 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. Additionally, in the Republic of Korea the survey covered rejected Asylum-Seekers. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the Korean context and programme objectives by removing, e.g. questions related to camp settings. Questions related to the rejected asylum seekers in need of protection and family members abroad were added. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 424 household amounting to 950 individuals.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 01, 2019-November 30, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    Uganda is hosting over 1 million refugees with about 114,716 (OPM Nov 2019) of them settled in Kyangwali refugee settlement. This rapid influx of refugees has put pressure on basic social services including education, food, shelter and WASH infrastructure. In order to efficiently and effectively improve WASH service delivery in the settlement, there is need for accurate and reliable information on which to base programmatic decisions. Kyangwali settlement has had a number of interventions by different partners, and in as much as there were access indicators obtained regularly by the partners that provide extremely useful average figures at settlement level, there has been a gap in the in-depth understanding of the situation at household level and to account for disparities within the settlement so as to measure the impact of the interventions. The survey mainly utilized 2 methods: Household questionnaire survey and documentary review. The survey covered all the five zones of the settlement, with samples drawn from all the villages in the different zones. Sample sizes for each zone were calculated using the UNHCR sample size determination tool. A sample of 403 (only refugees) was interviewed using household questionnaire survey administered through Kobo collect and Open Data Kit (ODK) tool. Reviewed documents included: partners periodic updates, minutes of WASH meetings.
  • 20+ Downloads
    Time Period of the Dataset [?]: September 01, 2019-September 30, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    The purpose of the WASH KAP survey was to collect primary data on several indicators related to the WASH Program implemented in the refugee and host communities of Palabek Settlement, Uganda. The survey aimed at assessing the level of improvement on the accessibility of WASH facilities after a 2 year intervention project. The survey used cross-sectional design used and both qualitative and quantitative techniques such as use of UNHCR standard WASH questionnaires, field visits and observations were employed during the study. In the 2019/20, the LWF provided WASH services to both refugee settlements and host community living in and around Palabek settlement. In order to gauge the coverage, the LWF conducted this KAP survey. The respondents were drawn from the host community (238 households) and the refugee settlement (446 households).
  • 20+ Downloads
    Time Period of the Dataset [?]: December 02, 2019-December 09, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    This report presents findings, discussions, conclusions and recommendations made following a survey of the Water Sanitation and Hygiene (WASH) Knowledge, Attitude and Practice (KAP) among refugees in Kakuma refugee camps and Kalobeyei settlement in Turkana West in Turkana County, Kenya. Two principle methods were used to collect primary data: household questionnaire and documents review in a summative evaluation approach. The survey adopted a summative evaluation approach and a combination of quantitative and qualitative methods were used to obtain answers to the survey questions. The mixed approach was adopted for purposes of complementary, triangulation, and validation of responses. Primary data was collected with the use of household questionnaires, Key Informant Interviews (KIIs) and review of existing literatures and reports. The inclusive criteria of the survey allowed the enumerators to collect data from household heads or any household member of age 18 years and above who consented to participate in the survey. Qualitative methods mainly KIIs were also adopted in order to gather an in-depth understanding of the perspectives of the various primary targets of the programme. These included households, members of WASH Committees, NRC staff and staff from the implementing partner agencies. Observation method was also used during the survey to assess WASH infrastructure and human habits. The infrastructure included; water points, sanitation and hygiene facilities. The stratified random sampling survey was carried out in in the 4 camps of Kakuma and the 3 villages of Kalobeyei. In Kakuma, all the 13 zones were included in the study for significant representation. The study population comprised all the households for the 192,352 refugees and asylum seekers registered in Kakuma camp (153,593) and Kalobeyei settlement (36,099) as per UNHCR population statistics of August 2019. The respondents were sampled household heads or family members aged 18 years and above. Although teachers who are patrons of school health clubs where institutional latrines had been done were targeted for interview, they were not reached due to school vacation.
  • 20+ Downloads
    Time Period of the Dataset [?]: December 02, 2019-December 09, 2019 ... More
    Modified [?]: 1 October 2020
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    This report presents findings, discussions, conclusions and recommendations made following a survey of the Water Sanitation and Hygiene (WASH) Knowledge, Attitude and Practice (KAP) among refugees in Kakuma refugee camps and Kalobeyei settlement in Turkana West in Turkana County, Kenya. Two principle methods were used to collect primary data: household questionnaire and documents review in a summative evaluation approach. The survey adopted a summative evaluation approach and a combination of quantitative and qualitative methods were used to obtain answers to the survey questions. The mixed approach was adopted for purposes of complementary, triangulation, and validation of responses. Primary data was collected with the use of household questionnaires, Key Informant Interviews (KIIs) and review of existing literatures and reports. The inclusive criteria of the survey allowed the enumerators to collect data from household heads or any household member of age 18 years and above who consented to participate in the survey. Qualitative methods mainly KIIs were also adopted in order to gather an in-depth understanding of the perspectives of the various primary targets of the programme. These included households, members of WASH Committees, NRC staff and staff from the implementing partner agencies. Observation method was also used during the survey to assess WASH infrastructure and human habits. The infrastructure included; water points, sanitation and hygiene facilities. The stratified random sampling survey was carried out in in the 4 camps of Kakuma and the 3 villages of Kalobeyei. In Kakuma, all the 13 zones were included in the study for significant representation. The study population comprised all the households for the 192,352 refugees and asylum seekers registered in Kakuma camp (153,593) and Kalobeyei settlement (36,099) as per UNHCR population statistics of August 2019. The respondents were sampled household heads or family members aged 18 years and above. Although teachers who are patrons of school health clubs where institutional latrines had been done were targeted for interview, they were not reached due to school vacation.
  • 10+ Downloads
    Time Period of the Dataset [?]: September 01, 2019-September 30, 2019 ... More
    Modified [?]: 23 September 2020
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    The purpose of the WASH KAP survey was to collect primary data on several indicators related to the WASH Program implemented in the refugee and host communities of Palabek Settlement, Uganda. The survey aimed at assessing the level of improvement on the accessibility of WASH facilities after a 2 year intervention project. The survey used cross-sectional design used and both qualitative and quantitative techniques such as use of UNHCR standard WASH questionnaires, field visits and observations were employed during the study. In the 2019/20, the LWF provided WASH services to both refugee settlements and host community living in and around Palabek settlement. In order to gauge the coverage, the LWF conducted this KAP survey. The respondents were drawn from the host community (238 households) and the refugee settlement (446 households).
  • 20+ Downloads
    Time Period of the Dataset [?]: November 01, 2019-November 30, 2019 ... More
    Modified [?]: 20 May 2020
    Dataset Added on HDX [?]: 27 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    Uganda is hosting over 1 million refugees with about 114,716 (OPM Nov 2019) of them settled in Kyangwali refugee settlement. This rapid influx of refugees has put pressure on basic social services including education, food, shelter and WASH infrastructure. In order to efficiently and effectively improve WASH service delivery in the settlement, there is need for accurate and reliable information on which to base programmatic decisions. Kyangwali settlement has had a number of interventions by different partners, and in as much as there were access indicators obtained regularly by the partners that provide extremely useful average figures at settlement level, there has been a gap in the in-depth understanding of the situation at household level and to account for disparities within the settlement so as to measure the impact of the interventions. The survey mainly utilized 2 methods: Household questionnaire survey and documentary review. The survey covered all the five zones of the settlement, with samples drawn from all the villages in the different zones. Sample sizes for each zone were calculated using the UNHCR sample size determination tool. A sample of 403 (only refugees) was interviewed using household questionnaire survey administered through Kobo collect and Open Data Kit (ODK) tool. Reviewed documents included: partners periodic updates, minutes of WASH meetings.