Search for a Dataset - Humanitarian Data Exchange

Nepal - Post-Distribution Monitoring of Cash-Based Interventions 2022

Time Period of the Dataset [?]: February 02, 2023-February 09, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees’ feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. UNHCR increasingly uses cash based interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to the people with and for whom UNHCR works. In order to ensure that the cash assistance provided meets the intended objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample of refugee recipients residing across the country. This PDM covers people who receives CBI in Nepal throughout 2022. Feedback on the modality was collected from 351 households in February 2023.

Web App
PDF

Kazakhstan - Results Monitoring Survey, 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 23, 2023-February 28, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey for person for and with whom UNHCR works, 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. 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 Kazakhstan context and programme objectives and focused on health, education and employment. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 89 household containing 363 individuals.

Web App
PDF

Kyrgyzstan - Results Monitoring Survey 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 16, 2023-February 07, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey on persons of concern (PoC) to UNHCR directly or indirectly assisted 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. 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 data includes indicators collected at both the household and individual (household-member) level, and results are statistically representative.

Web App
PDF

Tajikistan - Post-Distribution Monitoring of Cash-Based Intervention 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 03, 2023-January 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

THE CBI PDM Household Survey was conducted in Tajikistan in January 2023. Tajikistan hosts the largest number of refugees in Central Asia, predominantly from neighbouring Afghanistan. While some progress has been achieved in areas such as access to health and education for refugees, livelihoods and self-reliance, though, continue to pose a challenge. As the result of Covid-19, refugees faced a myriad of challenges, including the loss of daily incomes and livelihoods to cover basic needs such as rent, food and health care. For refugees in Tajikistan, who largely rely on daily work, the impact of Covid 19 has been devastating as it has led to widespread unemployment. As a response measure, UNHCR jointly with its NGO partner provided Covid-19 cash assistance to 183 refugee households over the course of six months. The results from this survey suggest that cash assistance provided as an immediate measure to support vulnerable refugee households has had a positive impact on the lives of the respondents. Cash assistance predominantly has been spent to cover food, medicines and rent costs. UNHCR uses Post-Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of refugee recipients.

Web App
PDF

Jordan - Quarterly assessment of the socio-economic situation of refugees, Q1-Q4 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Never

The quarterly assessment of the socio-economic situation of refugees monitors changes in refugee vulnerability in Jordan over time. Using the results of the 2022 Vulnerability Assessment Framework (VAF) study as a baseline, this series collect information repeatedly from the same refugee families on a quarterly basis to examine variations at the household level for the following sectors: economic vulnerability (including livelihoods), food security, shelter, WASH and health. Since Q3 2022, the assessment has been expanded to include refugees from the two main Syrian refugee camps: Azraq and Zaatari.

Web App
PDF

Rwanda - Joint UNHCR/WFP Post Distribution Monitoring - December, 2020

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: December 04, 2020-December 15, 2020 ... More

This dataset updates: Never

This study contains the data of the Joint Post Distribution Monitoring (JPDM) and Targeting Assessment undertaken by the World Food Programme (WFP) and the United Nations High Commission for Refugees (UNHCR), supported by the UNHCR/ WFP Joint Programme Excellence & Targeting Hub. The objectives of the assessment were to 1) ensure corporate continuity in monitoring refugees’ food security outcomes and basic needs, the household impacts of COVID-19, income situation and livelihoods and 2) inform programmatic decisions and the development of a joint targeting approach for WFP and UNHCR. Data collection was conducted in December 2020 in all six refugee camps in Rwanda where 92 percent of refugees live. The JPDM covers multidimensional vulnerabilities and needs including a wide array of thematic areas such as food security, coping strategies, household expenditure, protection, livelihoods, asset ownership, water, sanitation and hygiene and demographics among others.

Web App
PDF

Bulgaria - Multi Sector Needs Assessment and Winter Needs - 2022/2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: December 21, 2022-January 18, 2023 ... More

This dataset updates: Never

This MSNA is a quantitative survey that aims to cover randomly selected households of Ukrainian citizens who have sought international protection in Bulgaria in order to prepare an assessment of their needs in key public policy sectors: health care, employment, education and housing. The survey includes questions that pertained both the personal experience of respondents and to the experience of their households. The study was conducted using a stratified sample with four subsamples: Refugees accommodated by state accommodation program; Refugees who received/receive support through the Blue dot centers; Refugees in private accommodation; Refugees whose children are enrolled in the Bulgarian education system - schools and kindergartens. 1311 surveys were collected between December 2022 and January 2023 in 265 municipalities in Bulgaria. This dataset is the anonymized version of the original data.

Web App
PDF

Jordan - Mobile Needs Assessment for non-Syrian Refugees - 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: March 25, 2021-April 20, 2021 ... More

This dataset updates: Never

The main objective of the Mobile Needs Assessment is to update the knowledge base on the humanitarian needs and livelihoods situation at the household level for non-Syrian refugees in Jordan, inform the development of a vulnerability-based targeting strategy and strengthen the current food assistance framework, with the goal of providing longer-term assistance based on needs and improve food security in a sustainable manner. Specific objectives of the Mobile Needs Assessment include: Collecting first-hand up-to-date data on an extended sample of non-Syrian refugees Exploring and understanding refugees’ basic needs, vulnerability, and livelihood opportunities also in the context of the COVID-19 onset; Describing the socio-economic profile of and identify the most vulnerable non-Syrian refugee households; Informing the programmatic decisions and targeting approach development for WFP in Q2-Q3 2021 and contributing to the existing evidence on targeting for UNHCR.

Web App
PDF

Nepal - Results Monitoring Survey and Socio-Sconomic Assessment 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 02, 2023-February 18, 2023 ... More

This dataset updates: Never

The survey streamlines data collection and monitoring of impact and outcome level results as part of multi-year country strategy. Monitoring progress towards education enrollment and sustainable livelihoods results is vital to inform course correction in the operation’ annual implementation plan and budgeting. The RMS and SEA are to be representative of persons of concern (PoC). This exercise was part of the 2022 RMS pilot.

Web App
PDF

Ground Truth survey of Dominicans Feb-March 2018 [By Request Only]

Ground Truth Solutions

Time Period of the Dataset [?]: February 04, 2018-March 02, 2018 ... More

This data is by request only

This data is the result of interviews conducted with 444 Dominicans impacted by Hurricane Maria. This round of interviews took place between 4 February and 2 March 2018, roughly four and a half months after Hurricane Maria made landfall. This is the third of five rounds of surveys in Dominica.

Request access

Chile - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Health - HRP Monitoring Framework

Health Cluster

100+ Downloads

Time Period of the Dataset [?]: January 01, 2022-August 19, 2024 ... More

This dataset updates: As needed

These document are compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the monitoring framework of the Humanitarian Response Plans in Activated Health Clusteres. The data comes from humanitarianaction For any ideas, updates, or corrections please contact Alberto Castillo Aroca castilloalb@who.int GHCU-IM Assessment and Analysis IMO or the GHC healthcluster@who.int. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document

XLSX

Jordan - Vulnerability Assessment Framework Population Survey for Refugees...

UNHCR - The UN Refugee Agency

40+ Downloads

Time Period of the Dataset [?]: July 05, 2021-October 09, 2021 ... More

This dataset updates: Never

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.

Web App
PDF

Mozambique - UNHCR-WFP Joint Assessment Mission in Maratane - 2020-2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: June 01, 2021-June 30, 2021 ... More

This dataset updates: Never

The objectives of the UNHCR-WFP Joint Assessment Mission (JAM) 2021 were to: collect updated information on refugees’ and host communities’ capacities to meet their basic needs, their livelihood opportunities and challenges, and any related protection concerns, including the level of integration and social cohesion between the two groups; understand the current food security and nutrition situation of the refugees and host community; and describe the vulnerability characteristics of refugee households in the camp and those in the host community to inform programmatic decision-making. The survey was designed to generate statistically representative findings for the refugee population residing in Maratane settlement and the Mozambican host community living east of the river Ruvuma within a 6 km radius from the centre of the settlement. In addition to the household survey, 16 focus group discussions (FGDs) and 7 key informant interviews were conducted both in-settlement refugees and the host community. Data collection of household survey took place between 20th August and 11th September, and FGDs and key informant interviews between 20th September and 15th October 2021. The sample frame of the refugee household survey for Maratane settlement was UNHCR’s proGres database and was verified by the Instituto Nacional de Apoio aos Refugiados (INAR). The sample was drawn each in Maratane settlement and the host community at the 95 per cent of confidence level and 5 per cent considering non-response rates. In the settlement, the sample was stratified by sex of household heads. In total, 951 households completed interviews, 579 in the settlements and 372 in the host community. This dataset is an anonymous version of the original data collected and processed by UNHCR and WFP.

Web App
PDF

Zambia - Joint WFP/UNHCR Needs Assessment Mantapala Settlement - 2020

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: September 19, 2020-September 28, 2020 ... More

This dataset updates: Never

Against the recent COVID-19 pandemic and its secondary socio-economic impact, the objective of theJoint Needs Assessment (JNA) was to provide an update on the level of vulnerability and livelihoodresilience among refugee households in Mantapala settlement. Livelihood challenges and opportunities had to be identified and socio-economic profiles developed for those most vulnerable and affected bythe pandemic. Lastly, the JNA was to inform programmatic decisions and suggest the most appropriate and feasible targeting approach for future interventions by WFP and UNHCR. An extensive literature review and technical discussions took place to identify the knowledge gap during the assessment design phase. The data collection for the assessment took place in Mantapala settlement between the 19 - 28 September 2020. A total of 1,128 randomly selected households were interviewed based on a structured questionnaire. Additionally, five focus group discussions and two key informant interviews were conducted. Findings are statistically representative at the settlement level. This dataset is an anonymous version of the household data collected through the structured questionnaire. It was processed by UNHCR and WFP. Data users should be aware that the data includesa number of households that are composed of only minors (under the age of 18). This is a known vulnerability in the settlement, and not an error in the dataset.

Web App
PDF

Jordan - Vulnerability Assessment Framework Population Survey for Refugees...

UNHCR - The UN Refugee Agency

20+ Downloads

Time Period of the Dataset [?]: October 07, 2021-December 19, 2021 ... More

This dataset updates: Never

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. This dataset collected between November and December 2021 presents the first efforts in expanding the scopes to the Zaatari and Azraq refugee camps. Residents of both Azraq and Zaatari camps were randomly sampled to explore trends and vulnerabilities specific to the camp context. As the questionnaire was first used to collect the data in the urban setting, it was tailored for the refugee camps context to account for the camp residents’ living circumstances, allowing for a deeper understanding of this specific group. A total of 10,141 individuals, representing 2,208 families living in 1,620 households, were interviewed in person.

Web App
PDF

Philippines - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

40+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Namibia - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Morocco - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Nigeria - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Jordan - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Panama - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Kenya - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Niger - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF

Ghana - Livelihoods Programme Monitoring Beneficiary Survey, 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey

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

Web App
PDF