La Gran Encuesta Integrada de Hogares (GEIH) 2023 es una de las fuentes de datos más completas y relevantes para el análisis socioeconómico en Colombia. Esta base de datos, desarrollada por el Departamento Administrativo Nacional de Estadística (DANE), ofrece una visión detallada y actualizada sobre las dinámicas del mercado laboral y los ingresos de los hogares en el país.
Con una cobertura anual que incluye aproximadamente 315,000 hogares a nivel nacional, la GEIH permite realizar análisis profundos y diversos que pueden informar tanto políticas públicas como investigaciones en áreas clave como la pobreza, el empleo, y la distribución de ingresos. Los datos recolectados permiten caracterizar a la población según sexo, edad, nivel educativo, afiliación al sistema de seguridad social, y otros indicadores demográficos y socioeconómicos. Además, se abordan temas cruciales como las condiciones de empleo, desempleo, y la población fuera de la fuerza de trabajo.
Esta base de datos es esencial no solo para análisis humanitarios, como la identificación de poblaciones vulnerables y la evaluación de la pobreza monetaria, sino también para estudios más amplios que buscan entender las tendencias económicas y sociales en Colombia.
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
The UNHCR Results Monitoring Survey (RMS) conducted in Burkina Faso from June to August 2022 aimed to gather data on refugees, asylum seekers, and internally displaced persons (IDPs) to monitor impact and outcome indicators in education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. Using a standard structured questionnaire, data was collected at both household and individual levels through Computer-Assisted Personal Interviewing (CAPI) and Computer-Assisted Telephone Interviewing (CATI). The sample frames were sourced from the “Conseil National de Secours d'Urgence et de Réhabilitation (CONASUR)” in December 2021 for IDPs and UNHCR's registration database, ProGresv4, for refugees and asylum seekers, resulting in 667 observations for RAS, 6 for refugee returnees, and 704 for IDPs. The survey results, which were submitted by August 28, 2022, contribute to UNHCR’s evidence base for multi-year strategic reporting to key stakeholders.
The UNHCR Results Monitoring Survey (RMS) is a household-level survey conducted with people directly or indirectly assisted by UNHCR. In Papua New Guinea, West Papuan refugees as well naturalized and non-naturalized West Papuans households were surveyed in two major locations, these being Iowara in Western Province and Port Moresby in the National Capital District. The Survey was undertaken jointly with the Immigration and Citizenship Authority from the Papua New Guinean the government, the objective of the survey was to assess indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation and further evaluate food insecurity in Iowara.
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. Questions from the RMS standard survey were adapted to the context and incorporated into a government survey and an FAO survey for the capital and Western Province, respectively. The data collection focused on topics such as safety, access to identity documents, and income and employment. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 325 household containing 1894 individuals.
The Forced Displacement Survey (FDS) is UNHCR’s new flagship household survey programme designed to standardize, streamline, and build on the existing UNHCR survey landscape to produce high-quality and timely data on people forced to flee. The FDS is comparable across countries over time and aligned with international statistical standards. It has the purpose of providing actionable evidence to inform the government’s operational and policy-related data needs, as well as its humanitarian and development partners.
As a multi-topic survey, the FDS collected household and individual level data on the socioeconomic characteristics and living conditions of targeted populations. Data was collected through face-to-face household interviews, where up to four household members aged 15 and above were interviewed: (1) the head of the household or a household member who was knowledgeable about the household; (2) a randomly selected household member who provided information about individual life experiences; (3) the caregiver of a randomly selected child under five years of age; and (4) a randomly selected woman who gave birth in the last two years.
South Sudan was the first pilot country where FDS has been implemented. South Sudan hosted refugees since its independence in 2011, despite facing multiple social challenges and internal conflicts. By April 2024 South Sudan hosted 450,000 refugees, mostly from Sudan, Burundi, the Central African Republic, and other countries.
The FDS in South Sudan collected data on a nationally representative sample of registered refugees and on a sample of the national population living in proximity of refugees located in the north of South Sudan. Data collection occurred between April and December 2023. The final realized sample of the FDS in South Sudan was composed of around 3,000 households, all located in rural areas. Among them, 68 per cent are refugee households and 32 per cent belong to host communities.
UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect feedback from the people with and for whom we work on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle of the process is accountability, as well as a commitment to improving 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 displaced people in line with UNHCR’s core protection mandate. 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.
PDMs in Afghanistan are done on a quarterly basis. This dataset is a compilation of all PDMs completed in 2023 and thereby covers people who received CBI in Afghanistan in 2023. Feedback on the modality was collected from 2888 households throughout the year.
UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect feedback from the people with and for whom we work on the quality, sufficiency, utilization and effectiveness of the assistance they receive. The underlying principle of the process is accountability, as well as a commitment to improving 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 displaced people in line with UNHCR’s core protection mandate. 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 was conducted with 64 respondent covering people who received CBI in China in 2023.
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 panel survey data covers two waves of interviews (baseline in 2020 and endline in 2023) with refugee participants in livelihoods cooperatives in Ethiopia's Somali Region. The cooperatives focused on crop agriculture, meat-selling, solar energy, and prosopis/briquettes. The surveys gathered demographic, socioeconomic, and health data on the individual participants. Baseline had 515 respondents, endline had 394, with 77% overlap between the two waves. The data is not representative of the general refugee population in the region. It provides insights into livelihoods programming for refugees in Ethiopia.
The Burundi 2019-2020 Socioeconomic Survey presents a detailed dataset on the socioeconomic conditions of refugees in Burundi. Conducted alongside the UNHCR's Verification Exercise, it leveraged the UNHCR and the Government of Burundi's database, selecting a systematic random sample. The survey utilized Computer Assisted Personal Interviewing (CAPI) for data collection, with questionnaires covering a wide range of topics like household characteristics, education, employment, and access to services. Initially conducted through in-person interviews, the survey adapted to phone interviews due to the COVID-19 pandemic. Fieldwork involved three teams from mid-November 2019 to May 2020, with extensive training and supervision to ensure data quality. The questionnaire, primarily in English, was administered with interpreters when necessary. Additionally, uniform sample weights were estimated for each household based on their selection probability, and sensitivity checks were performed to validate the data's robustness. This dataset is crucial for understanding the complex socioeconomic dynamics faced by refugees in Burundi.
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
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. This dataset was collected between December 2023 and January 2024 and focuses 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. The questionnaire was tailored for the refugee camps context to account for the camp residents’ living circumstances, allowing for a deeper understanding of this specific group. In this iteration, a new set of questions were included to capture how climate change affects refugees’ lives.
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.
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.
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
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
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
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
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
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
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
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
