Search for a Dataset - Humanitarian Data Exchange

Kingdom of Eswatini - Subnational Administrative Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD+ 1600+ Downloads

Time Period of the Dataset [?]: May 13, 2020-September 01, 2024 ... More

This dataset updates: Every year

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

Kingdom of Eswatini 2007 administrative level 0-2 boundaries Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These boundaries are suitable for database or GIS linkage to the Kingdom of Eswatini - Subnational Population Statistics.

Eswatini - Science and Technology

World Bank Group

100+ Downloads

Time Period of the Dataset [?]: January 01, 1978-December 31, 2022 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles, high-technology exports, royalty and license fees, and patents and trademarks. Sources include the UNESCO Institute for Statistics, the U.S. National Science Board, the UN Statistics Division, the International Monetary Fund, and the World Intellectual Property Organization.

CSV

Eswatini - Energy and Mining

World Bank Group

100+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2021 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Energy and Mining

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.

CSV

Kingdom of Eswatini - Subnational Population Statistics

UNFPA

COD+ 1000+ Downloads

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

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Kingdom of Eswatini administrative level 0-2 sex and age disaggregated 2022 population statistics REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Kingdom of Eswatini - Subnational Administrative Boundaries.

Eswatini - Economy and Growth

World Bank Group

100+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

CSV

Eswatini - Health Indicators

World Health Organization

3400+ Downloads

Time Period of the Dataset [?]: January 01, 1949-December 31, 2030 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: WHO - WHO Health Indicators

This dataset contains data from WHO's data portal covering the following categories: Air pollution, Antimicrobial resistance (AMR), Assistive technology, Child mortality, Dementia diagnosis, treatment and care, Dementia policy and legislation, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, HIV, Health Inequality Monitor, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, International Health Regulations (2005) monitoring framework, Malaria, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence against women, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics. For links to individual indicator metadata, see resource descriptions.

CSV

Eswatini - Population Density

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. 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 - Population Counts

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. 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 Prices

WFP - World Food Programme

800+ Downloads

Time Period of the Dataset [?]: April 15, 2004-August 15, 2023 ... More

This dataset updates: As needed

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

This dataset contains Food Prices data for Eswatini, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

CSV

Eswatini - Subnational Administrative Boundaries

geoBoundaries

10+ Downloads

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

This dataset updates: Live

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

Eswatini - Agriculture and Rural Development

World Bank Group

100+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Agriculture and Rural Development

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.

CSV

Eswatini - Food Security Indicators

WFP - World Food Programme

80+ Downloads

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

This dataset updates: Every month

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 - Human Development Indicators

UNDP Human Development Reports Office (HDRO)

100+ Downloads

Time Period of the Dataset [?]: January 01, 1990-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: UNDP Human Development Reports Office - Human Development Indicators

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

CSV

Eswatini: subnational poverty trends

Oxford Poverty & Human Development Initiative

70+ Downloads

Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).

XLSX

Eswatini - Social Protection and Labor

World Bank Group

100+ Downloads

Time Period of the Dataset [?]: January 01, 1966-December 31, 2023 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Social Protection and Labor

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. The supply of labor available in an economy includes people who are employed, those who are unemployed but seeking work, and first-time job-seekers. Not everyone who works is included: unpaid workers, family workers, and students are often omitted, while some countries do not count members of the armed forces. Data on labor and employment are compiled by the International Labour Organization (ILO) from labor force surveys, censuses, establishment censuses and surveys, and administrative records such as employment exchange registers and unemployment insurance schemes.

CSV

Eswatini - National Demographic and Health Data

The DHS Program

800+ 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 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 - Subnational Demographic and Health Data

The DHS Program

800+ 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 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

Eswatini - Food Security and Nutrition Indicators

Food and Agriculture Organization (FAO) of the United Nations

200+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More

This dataset updates: Every year

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

Food Security and Nutrition Indicators for Eswatini. Contains data from the FAOSTAT bulk data service.

CSV

Kingdom of Eswatini - Education Indicators

UNESCO

300+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2019 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

Education indicators for Kingdom of Eswatini. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)

CSV

Kingdom of Eswatini - Pregnancies

WorldPop

Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More

This dataset updates: As needed

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

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Swaziland 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00469

GeoTIFF

Kingdom of Eswatini - Births

WorldPop

Time Period of the Dataset [?]: January 01, 2014-December 31, 2017 ... More

This dataset updates: As needed

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

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Swaziland 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00361

GeoTIFF

Eswatini: Administrative Division with Aggregated Population

Kontur

10+ Downloads

Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population

Eswatini administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

Geopackage

Eswatini - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

3700+ Downloads

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

This dataset updates: Every day

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Eswatini - Data on Conflict Events

HDX

90+ 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

Kingdom of Eswatini - IFRC Appeals

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

30+ Downloads

Time Period of the Dataset [?]: January 01, 1997-April 30, 2023 ... More

This dataset updates: Every week

This dataset is part of the data series [?]: IFRC - Appeals

The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.

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