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  • 3000+ Downloads
    Updated August 7, 2020 | Dataset date: Mar 1, 2020-May 31, 2020
    This dataset updates: Every week
    This data includes movement changes measured by Facebook throughout March, April, and May 2020 starting from a baseline in February.
  • 1100+ Downloads
    Updated August 7, 2020 | Dataset date: Dec 31, 2019-Jul 30, 2020
    This dataset updates: Every two weeks
    The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries. The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff. The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include: • Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines • Policy-related: government coordination and legal authorization, public communications and education, movement restrictions • Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces • Economic measures: economic and social measures, logistics / supply chains and security. We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database. Comments on the data can be submitted to covid.database.comments@dalberg.com Questions can be submitted to covid.database.questions@dalberg.com www.dalberg.com
  • 5100+ Downloads
    Updated August 7, 2020 | Dataset date: Aug 7, 2020
    This dataset updates: Every day
    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.
  • 200+ Downloads
    Updated August 5, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2020
    This dataset updates: Every week
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
  • 50+ Downloads
    Updated August 4, 2020 | Dataset date: Jan 1, 1983-Dec 31, 2019
    This dataset updates: Every year
    UNHCR dataset
  • 10+ Downloads
    Updated August 4, 2020 | Dataset date: Jul 4, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: addr:full tourism name rooms addr:street source addr:housenumber shop addr:city opening_hours amenity man_made beds This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated August 4, 2020 | Dataset date: Jul 4, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: layer width natural depth name water source covered blockage waterway tunnel This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated August 4, 2020 | Dataset date: Jul 4, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: building:materials office name addr:street source addr:housenumber building:levels addr:city addr:full building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Updated August 4, 2020 | Dataset date: Jul 4, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: layer surface width highway name smoothness source lanes bridge oneway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated August 3, 2020 | Dataset date: Apr 20, 1989-Dec 15, 2018
    This dataset updates: Every month
    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
  • 300+ Downloads
    Updated August 3, 2020 | Dataset date: Jun 3, 2020-Aug 3, 2020
    This dataset updates: As needed
    This datasets show location of hand washing stations in Indonesia taken from https://handwashing-station.ushahidi.io/ website. All of the features provided in here use Bahasa Indonesia. Features may be include in here such as: Nama object (ID) / Object name (EN) = provide description about the object name Alamat (ID) / Address (EN) = provide address where the hand-washing station located Tipe tempat cuci tangan (ID) / Type of hand-washing station (EN) = provide the type of hand-washing station. There are two values provided here: portable permanent Sumber air dari tempat cuci tangan (ID) / water source (EN) = provide the water source of the hand-washing station. There are several values provided here: manual/isi sendiri (ID) - manual (EN) pipa paralon (ID) - pipe (EN) truk air (ID) - water truck (EN) lainnya (ID) - other (EN) Tambahan sumber air (ID) / additional water source (EN) = provide additional information about water source if the user fill other in the previous questions. Penyedia tempat cuci tangan (ID) / provider (EN) = provide information about who create the hand-washing station. There are several values provided here: Inisiatif individu (ID) - individual (EN) Komunitas sekitar (Desa, RT, RW) - local community (EN) Pemerintah (ID) - Government (EN) Perusahaan swasta (ID) - Private company (EN) LSM (ID) - NGO (EN) Status (ID/EN) = provide the status of hand-washing station. There are three values provided here: Berfungsi (ID) - Function (EN) Tidak berfungsi (ID) - Not function (EN) Sementara tidak digunakan (ID) - Not being used at the moment (EN) Informasi tambahan apabila tidak berfungsi (ID) / Additional information if not function (EN) = provide additional information if the user fill not function in the previous question Komponen utama penyusun tempat cuci tangan (ID) / Main materials of hand-washing station (EN) = provide information about the materials of hand-washing station. There are several value provided here: Plastik (ID) - Plastic (EN) Keramik (ID) - Ceramic (EN) Fiber (ID) - Fiber (EN) Besi (ID) - Iron (EN) Tanah liat (ID) - Clay (EN) Kayu (ID) - Wood (EN) Waktu pengisian tempat cuci tangan (ID) / Schedule for water filling (EN) = provide information about the when the water refil. There are several value provided here: Setiap hari (ID) - Daily (EN) Setiap minggu (ID) - Weekly (EN) Setiap bulan (ID) - Monthly (EN) Otomatis (ID) - Automatically (EN) Tidak tahu (ID) - I don't know (EN) Lokasi (ID) / location (EN) = provide the location of the hand-washing station Foto / Photo
  • 1200+ Downloads
    Updated August 3, 2020 | Dataset date: Mar 2, 2020-Aug 1, 2020
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
  • 200+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2019
    This dataset updates: Every year
    Food Security Indicators for Indonesia. Contains data from the FAOSTAT bulk data service.
  • 100+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 1991-Dec 31, 2018
    This dataset updates: Every year
    Prices for Indonesia. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices
  • 7400+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 1, 1990-Jul 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 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.
  • 800+ Downloads
    Updated August 2, 2020 | Dataset date: Jan 15, 2007-Jul 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for Indonesia. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 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.
  • 274000+ Downloads
    Updated Live | Dataset date: Jan 22, 2020-Aug 6, 2020
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 500+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2026
    This dataset updates: Every month
    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.
  • 70+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every month
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies.
  • 50+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2026
    This dataset updates: Every month
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.
  • 90+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every month
    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.
  • 50+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1995-Dec 31, 2015
    This dataset updates: Every month
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
  • 100+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every month
    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.
  • 100+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every month
    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.
  • 60+ Downloads
    Updated July 27, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every month
    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.