• Time Period of the Dataset [?]: March 07, 2020-October 06, 2020 ... More
    Modified [?]: 11 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 07, 2020-October 06, 2020 ... More
    Modified [?]: 11 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: April 16, 2020-May 17, 2020 ... More
    Modified [?]: 11 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 01, 2020-November 30, 2020 ... More
    Modified [?]: 11 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    20+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: October 01, 2020-December 31, 2020 ... More
    Modified [?]: 10 June 2021
    Dataset Added on HDX [?]: 4 July 2021
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: December 31, 2020-March 28, 2024 ... More
    Modified [?]: 1 June 2021
    Dataset Added on HDX [?]: 1 June 2021
    CCA Status as at 2020 by UN Lesotho
    50+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: May 14, 2020-July 17, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 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. 1,332 households were reached. The survey consent rate was 51 percent. From these households, 3,529 individuals were selected and interviewed.
    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 [?]: July 16, 2020-September 18, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 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. For the second wave, 4390 individuals were included belonging to 1735 households.
    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 [?]: September 28, 2020-November 30, 2020 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 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.
    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 15, 2021-March 25, 2021 ... More
    Modified [?]: 26 May 2021
    Dataset Added on HDX [?]: 26 May 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.
    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 06, 2020-May 20, 2020 ... More
    Modified [?]: 12 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    This dataset updates: Never
  • Time Period of the Dataset [?]: June 02, 2020-June 26, 2020 ... More
    Modified [?]: 12 April 2021
    Dataset Added on HDX [?]: 26 May 2021
    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.
    10+ Downloads
    This dataset updates: Never
  • 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, 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, 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