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FAO Data in Emergencies Monitoring System (DIEM)

Food and Agriculture Organization (FAO) of the United Nations

700+ Downloads

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

This dataset updates: Every day

The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample. The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset. For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/ View the column descriptions here. Metadata available here. Questionnaires used for data collection available here. Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.

CSV

REACH Colombia - Ciénaga, Magdalena - Evaluación Basada en Área (EBA)

REACH Initiative

Time Period of the Dataset [?]: July 13, 2023-July 24, 2023 ... More

This dataset updates: Never

El departamento de Magdalena por muchas décadas ha sido una zona de múltiples afectaciones de índole humanitaria. El municipio Ciénaga particularmente ha sido un territorio receptor de victimas del conflicto armado debido a su cercanía a la Sierra Nevada de Santa Marta donde Grupos Armados No Estatales se resguardan estratégicamente para controlar el paso de tránsito entre varios departamentos donde se producen cultivos ilícitos y los puertos al norte del país por donde salen estos productos. Ciénaga a su vez ha recibido un flujo migratorio de población refugiada y migrante venezolana ya que es un territorio donde los costos de vida son relativamente bajos y queda ubicado cercano a territorios donde la producción agrícola es la principal actividad económica y pueden encontrar empleo. Por otro lado, Ciénaga al estar delimitado en el costado occidental por la Ciénaga Grande y en el norte por el Mar Caribe, el municipio de Ciénaga se encuentra expuesto a los riesgos por variabilidad climática que van de extremo a extremo. Por un lado, las temporadas de lluvias (fenómeno de la Niña) y las épocas de huracanes tropicales en el océano Atlántico ocasionan que anualmente la cabecera municipal presente inundaciones por crecimiento de la Ciénaga Grande y por erosión costera, lo cual deriva en victimas que pierden pertenencias dentro de sus viviendas e inclusive las mismas viviendas si estas están construidas de materiales inadecuados. Por otro lado, las épocas de sequía afectan las zonas rurales de Ciénaga ocasionando la muerte de cultivos y de animales. Una tercera problemática por inundaciones se presenta por las obras fallidas de drenaje y acueducto que ocasionan inundaciones en varios sectores del municipio.

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Syrian Arab Republic - Market Price Index

Assistance Coordination Unit

2700+ Downloads

Time Period of the Dataset [?]: May 01, 2024-May 01, 2024 ... More

This dataset updates: Every month

This dashboard highlights the living situation in Syria by showing the prices of basic market items. How to use this product: The first three pages track price change chronologically on governorate level, with the ability to compare between them by choosing one or more. The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s). This product is funded by the CDCS-MEAE. Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement. Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any kind is implied or possible where projections of future conditions are attempted.

XLSX

Annual Whole of Afghanistan Assessment (WoAA 2022) Household Dataset [By...

REACH Initiative

Time Period of the Dataset [?]: July 30, 2022-September 04, 2022 ... More

This data is by request only

The Whole of Afghanistan Assessment 2022 (Annual WoAA 2022) is a multi sectoral need assessment, conducted based on in-person household-level interviews. This data consists the results collected from the head of household across the country, and provides data on household`s different sectoral and intersectoral needs such as health, education, nutrition, WASH, food security, shocks, protection, and so on. Data for this assessment was collected using stratified cluster sampling and all findings calculated using this data have a minimum confidence level of 95% and a 5% margin of error at the national-level. Urban and rural findings are representative with a confidence level of 90% and a 9% margin of error at the provincial level. Findings of the refugee population have a minimum confidence level of 90% and a 7% margin of error at the provincial-level.

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REACH IRAQ Multi Cluster Needs Assessment Round VIII-2020 - Dataset...

REACH Initiative

Time Period of the Dataset [?]: July 14, 2020-September 23, 2020 ... More

This data is by request only

The eighth round of Iraq's Multi-Cluster Needs Assessment (MCNA) conducted by REACH Initiative in close coordination with the Assessment Working Group (AWG), UN OCHA, and the Inter-Cluster Coordination Group (ICCG), seeks to understand multi-sectoral priority needs of conflict-affected populations living across the whole of Iraq. Between July 14 and September 23, 2020, a total of 9,634 in-camp IDP, out of camp IDP, and returnee households were assessed in a total of 61 districts in Iraq (including 40 formal camps).

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Indonesia main income source, 1986-2018 [By Request Only]

International Federation of Red Cross and Red Crescent Societies (IFRC)

Time Period of the Dataset [?]: February 28, 2018-February 28, 2018 ... More

This data is by request only

This dataset contains main income source of majority of population in Indonesia during 1986-2018. Agriculture, trade, services, and manufacture are the most main income source in Indonesia. This data, derived from SAKERNAS (National Labour Force Survey) data published by BPS every six months (February and August) and downloadable in MS. Excel (XLS) format: https://www.bps.go.id/statictable/2009/04/16/970/penduduk-15-tahun-ke-atas-yang-bekerja-menurut-lapangan-pekerjaan-utama-1986---2018.html

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Nepal - Results Monitoring Survey and Socio-Economic Assessment - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: December 28, 2023-January 11, 2024 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In Nepal the survey covered refugees and Asylum Seekers. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter and social protection. 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 Nepali context and programme objectives by removing, e.g. questions related to camp settings. Additionally, an extended module socio-economic markers was included. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 361 household amounting to 1292 individuals.

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Tajikistan - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: November 02, 2023-December 01, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In the Tajikistan the survey covered rejected Asylum-Seekers and refugees. 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 Tajik context and programme objectives by removing, e.g. questions related to camp settings. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 340 household amounting to 1790 individuals.

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Malaysia - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 02, 2023-November 05, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey conducted with people directly or indirectly assisted by UNHCR. In Malaysia refugee households were surveyed. 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 Malaysia context and programme objectives and focused on e.g., health, education and employment. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 1103 household containing 3027 individuals, and results are statistically representative.

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Myanmar - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: April 07, 2023-May 29, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In Myanmar, respondents included internally displaced persons, returnees, stateless and host community. 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 Myanmar context and programme objectives by including, e.g. the IDP module. Questions related to Accoutability to Affected Populations (AAP) and service provision were added. A mixed methodology of remote and in-person interview was applied to allow for inclusion of respondents in areas not accessible to data collectors, e.g. rakhine state. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 4444 household amounting to 19009 individuals.

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Multi-Sector Needs Assessment (MSNA) - 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: June 18, 2023-September 24, 2023 ... More

This dataset updates: Never

With the goal of supporting the Inter-Agency Regional Response Plan (RRP) and to enable planning among key humanitarian actors through the provision of updated information on multi-sectoral needs and priorities of refugees from Ukraine, the Regional Refugee Coordination Forum (RCF) agreed on a regional approach to the implementation of inter-agency multi-sectoral needs assessments (MSNA) in 2023. The assessments were conducted around summer of 2023, using a similar methodological approach and a harmonized questionnaire aiming at having comparable results to better inform and prioritize the humanitarian response. This comprehensive regional dataset was compiled by consolidating MSNA datasets from seven countries: Poland, Slovakia, Hungary, Czechia, Moldova, Romania, and Bulgaria.

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Afghanistan - Border Monitoring, outflow - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Never

The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979. UNHCR border monitoring seeks to understand the triggers, intentions and reasons for Afghan cross-border movements, assess access to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. In 2023, more than 78,000 interviews were conducted with people across six crossing points into Pakistan, Iran and Central Asia from Afghanistan. This dataset is the anonymized version of the original data.

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Afghanistan - Border Monitoring, Unofficial Crossing Points - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Never

The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8.2 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979. UNHCR has expanded its border monitoring in Afghanistan to include unofficial crossing points to understand flows and frequency on Afghans departing via these points, assess to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. Interviews at unofficial crossing points were held with key informants such as local residents in border areas, drivers, hotel and restaurant owners or border officials in over 50 locations, through Kunduz, Jalalabad, Herat, Gardez, Mazar and Kandahar field locations. Key informants gave estimates of weekly flows and their composition. This monitoring activity found that the majority of movements to Iran (81%) happen via unofficial border crossings, while less than 18% of movements to Pakistan happen via unofficial border crossings. This dataset is the anonymized version of the original data.

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Bangladesh - Results Monitoring Survey (Bhasan Char Needs Assessment) 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 17, 2023-October 25, 2023 ... More

This dataset updates: Never

Since December 2020, the Government of Bangladesh has led the establishment of refugee facilities on the island of Bhasan Char in the Bay of Bengal and the delivery of relief services in partnership with civil society organizations. Currently nearly 31,000 Rohingya refugees live on Bhasan Char. With the continuous increase of the population on the island through relocations of Rohingya refugees from Cox’s Bazar, it has become imperative to have a more comprehensive view of the needs and capacities of the population on the island. Against this background, a joint multi-sector assessment was implemented by REACH under UNHCR leadership with the following objectives: (1) to inform an evidence-based prioritisation and resource allocation to effectively plan and design programming activities around; (2) to harmonise data collection efforts to avoid duplication of efforts and resources, minimise intrusion into the lives of beneficiaries, and maintain compatibility, quality, and comparability; (3) to provide the basis for a joint multi-stakeholder needs analysis and interpretation process. The surevey found that almost that two thirds of households (67%) reportedly faced challenges in making ends meet financially. A further 88% faced some challenge in accessing health cares. About half of the respondents (46%) information needs were not met, which included information on how to find work (as reported by 17% of households as an information need) or how to get food assisstance(24%). Only 2 % said they struggled with information about access to protection services. 41% reported the WASH facilities were considered unsafe by women and girls in their household. A decrease from 75% in 2022.

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Afghanistan - Border Monitoring, inflow - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Never

The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. 1.6 million new arrivals have been witnessed in neighboring countries. While 5.3 million refugees returned to Afghanistan in phases since 2002, this trend has been declining in recent times. Since August 2021, UNHCR has maintained a non-return advisory for Afghanistan (reaffirmed February 2022), calling for a halt on forced returns of Afghan nationals. To assess people’s ability to access the right to return and map potential protection risks and human rights violations faced by people, over 80,000 interviews were conducted with people across six crossing points from Pakistan, Iran and Central Asia into Afghanistan. Interviews were conducted through out 2023. Interviewees were selected to gain an understanding of triggers, intentions and reasons for Afghan cross-border movements and assess access to territory. This dataset is the anonymized version of the original data.

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Dominican Republic - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Costa Rica - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Djibouti - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Argentina - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Armenia - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Angola - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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El Salvador - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Mauritania - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Albania - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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Panama - Livelihoods Programme Monitoring Beneficiary Survey, 2022

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

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

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