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  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Climate Change
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Millenium development goals
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Gender
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Development
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Development
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation. Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1980-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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. Effective governments improve people's standard of living by ensuring access to essential services – health, education, water and sanitation, electricity, transport – and the opportunity to live and work in peace and security. Data here includes World Bank staff assessments of country performance in economic management, structural policies, policies for social inclusion and equity, and public sector management and institutions for the poorest countries. Also included are indicators on revenues and expenses from the International Monetary Fund's Government Finance Statistics, and on tax policies from various sources.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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. Private markets drive economic growth, tapping initiative and investment to create productive jobs and raise incomes. Trade is also a driver of economic growth as it integrates developing countries into the world economy and generates benefits for their people. Data on the private sector and trade are from the World Bank Group's Private Participation in Infrastructure Project Database, Enterprise Surveys, and Doing Business Indicators, as well as from the International Monetary Fund's Balance of Payments database and International Financial Statistics, the UN Commission on Trade and Development, the World Trade Organization, and various other sources.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1994-December 31, 2021 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Poverty
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1961-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Infrastructure
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Infrastructure helps determine the success of manufacturing and agricultural activities. Investments in water, sanitation, energy, housing, and transport also improve lives and help reduce poverty. And new information and communication technologies promote growth, improve delivery of health and other services, expand the reach of education, and support social and cultural advances. Data here are compiled from such sources as the International Road Federation, Containerisation International, the International Civil Aviation Organization, the International Energy Association, and the International Telecommunications Union.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Health
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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. An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2022 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Environment
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1963-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Education
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Aid Effectiveness
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 19 November 2019
    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.
  • 1000+ Downloads
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2023 ... More
    Modified [?]: 27 November 2024
    Dataset Added on HDX [?]: 1 September 2017
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 300+ Downloads
    Time Period of the Dataset [?]: February 27, 2009-July 21, 2024 ... More
    Modified [?]: 25 November 2024
    Dataset Added on HDX [?]: 4 December 2019
    This dataset updates: Every three months
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Time Period of the Dataset [?]: November 07, 2024-November 07, 2024 ... More
    Modified [?]: 19 November 2024
    Dataset Added on HDX [?]: 19 November 2024
    This dataset updates: Every six months
    This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between **paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the [paper](http://arxiv.org/abs/2410.19874) Roughly 0.5122 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.11 and 0.0709 (in million kms), corressponding to 21.4685% and 13.8363% respectively of the total road length in the dataset region. 0.3314 million km or 64.6952% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0012 million km of information (corressponding to 0.3629% of total missing information on road surface) It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications. This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications. AI features: pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved." pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved). osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved." combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved." combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved." n_of_predictions_used: Number of predictions used for the feature length estimation. predicted_length: Predicted length based on the DL model’s estimations, in meters. DL_mean_timestamp: Mean timestamp of the predictions used, for comparison. OSM features may have these attributes(Learn what tags mean here): name: Name of the feature, if available in OSM. name:en: Name of the feature in English, if available in OSM. name:* (in local language): Name of the feature in the local official language, where available. highway: Road classification based on OSM tags (e.g., residential, motorway, footway). surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt). smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad). width: Width of the road, where available. lanes: Number of lanes on the road. oneway: Indicates if the road is one-way (yes or no). bridge: Specifies if the feature is a bridge (yes or no). layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels). source: Source of the data, indicating the origin or authority of specific attributes. Urban classification features may have these attributes: continent: The continent where the data point is located (e.g., Europe, Asia). country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States). urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban) urban_area: Name of the urban area or city where the data point is located. osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature. osm_type: Type of OSM element (e.g., node, way, relation). The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer. This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information. We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.
  • 3600+ Downloads
    Time Period of the Dataset [?]: January 01, 1949-December 31, 2030 ... More
    Modified [?]: 15 November 2024
    Dataset Added on HDX [?]: 27 July 2017
    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, Assistive technology, Child mortality, Dementia diagnosis, treatment and care, 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 financing, Health systems, Health taxes, Hepatitis, Immunization coverage and vaccine-preventable diseases, 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 prevention, Water, sanitation and hygiene (WASH), World Health Statistics. For links to individual indicator metadata, see resource descriptions.
  • 100+ Downloads
    Time Period of the Dataset [?]: June 30, 2024-October 21, 2024 ... More
    Modified [?]: 30 October 2024
    Dataset Added on HDX [?]: 19 July 2024
    This dataset updates: As needed
    Business Activity Trends during Crisis uses the rate that businesses post on Facebook compared to pre-crisis levels to measure how crisis events are affecting different economic sectors each day. Learn more details here: https://dataforgood.facebook.com/dfg/tools/business-activity-trends and https://dataforgood.facebook.com/dfg/resources/business-activity-trends-methodology-paper Here we are posting datasets from selected crisis events.
  • Time Period of the Dataset [?]: December 01, 2023-December 03, 2023 ... More
    Modified [?]: 24 September 2024
    Dataset Added on HDX [?]: 14 April 2024
    This dataset updates: Never
    This survey is part of UNHCR’s intention survey series for refugees from Ukraine across Europe. It was conducted in Austria to gather data on the situation and intentions of Ukrainian refugees, including their profiles, decision-making reasons, and socio-economic conditions. The survey aims to inform advocacy, programming, and decision-making by stakeholders. A total of 553 households, representing over 1,500 refugees, participated in the online survey conducted between mid-January and mid-March 2023.