Search for a Dataset - Humanitarian Data Exchange

Kingdom of Eswatini - National Demographic and Health Data

2300+ Downloads

Time Period of the Dataset [?]: January 01, 2006-December 31, 2006 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: The DHS Program - Subnational Health and Demographic Data

Contains data from the DHS data portal. There is also a dataset containing Kingdom of Eswatini - Subnational Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.

CSV

Eswatini: NDVI at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: July 01, 2002-August 20, 2024 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - NDVI at Subnational Level

This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Kingdom of Eswatini - Subnational Administrative Boundaries

geoBoundaries

100+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: Live

This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

GeoJSON
SHP

Kingdom of Eswatini - Population Density

WorldPop

40+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Population Density

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

GeoTIFF

Eswatini: Integrated Context Analysis (ICA), 2019

WFP - World Food Programme

50+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Eswatini Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

80+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Waterways

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source name:ss This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Eswatini Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

100+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Roads

OpenStreetMap contains roughly 29.9 million km of roads in this region. Based on AI-mapped estimates, this is approximately 53 % of the total road length in the dataset region. The average age of data for the region is 4 years ( Last edited 2 months ago ) and 2% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:ss This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Kingdom of Eswatini - Subnational Demographic and Health Data

The DHS Program

1900+ Downloads

Time Period of the Dataset [?]: January 01, 2006-December 31, 2006 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: The DHS Program - Subnational Health and Demographic Data

Contains data from the DHS data portal. There is also a dataset containing Kingdom of Eswatini - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.

CSV

Kingdom of Eswatini - Population Counts

WorldPop

60+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: World Pop - Population Counts

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

GeoTIFF

Kingdom of Eswatini - Food Security Indicators

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: February 01, 2017-June 01, 2017 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: WFP - Food Security Indicators

The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).

CSV

Eswatini - Age and sex structures

WorldPop

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

GeoTIFF

Eswatini - Economic, Social, Environmental, Health, Education, Development and Energy

World Bank Group

200+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic Social Environmental Health Education Development and Energy

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

CSV

GRID3 Eswatini Settlement Extents, Version 02

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

80+ Downloads

Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2

The dataset consists of settlement extents across Eswatini, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

Eswatini - Internal Displacements (New Displacements) – IDPs

Internal Displacement Monitoring Centre (IDMC)

100+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IDMC - Internally displaced persons

Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

CSV

Eswatini - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

80+ Downloads

Time Period of the Dataset [?]: March 05, 2024-September 01, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Eswatini. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

CSV

Eswatini Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

80+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Railways

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:ss This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Eswatini Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Buildings

OpenStreetMap contains roughly 608.0 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 82% of the total buildings.The average age of data for this region is 4 years ( Last edited 2 months ago ) and 0% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source name:ss This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Eswatini Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Airports

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source name:ss This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Current IATI aid activities in Kingdom of Eswatini

International Aid Transparency Initiative

Time Period of the Dataset [?]: January 01, 2019-September 01, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: IATI - Current IATI aid activities

Live list of active aid activities for Kingdom of Eswatini shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from https://d-portal.org Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/

CSV

Eswatini: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-August 20, 2024 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Kingdom of Eswatini - Data on Conflict Events

HDX

100+ Downloads

Time Period of the Dataset [?]: February 12, 1989-October 20, 2021 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: UCDP - Data on Conflict Events

This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University

CSV

GRID3 Eswatini Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 60+ Downloads

Time Period of the Dataset [?]: December 21, 2021-September 01, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: GRID3 - Settlement Extents

Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Eswatini Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-ttwa-vd54 . Accessed DAY MONTH YEAR.

Eswatini - 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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Eswatini - Livelihoods Programme Monitoring Beneficiary Survey, 2018

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... 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

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PDF

Eswatini - Livelihoods Programme Monitoring Beneficiary Survey, 2019

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... 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