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  • 2200+ Downloads
    Time Period of the Dataset [?]: December 31, 2019-September 23, 2020 ... More
    Modified [?]: 10 February 2022
    Dataset Added on HDX [?]: 7 May 2020
    This dataset updates: Never
    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
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
    This dataset updates: Never
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 80+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2015 ... More
    Modified [?]: 9 July 2018
    Dataset Added on HDX [?]: 10 November 2016
    This dataset updates: Never
    Old age dependency ratio is computed from people aged 65 and more and people aged 15 to 64 source from OECD.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-November 30, 2013 ... More
    Modified [?]: 9 July 2018
    Dataset Added on HDX [?]: 10 November 2016
    This dataset updates: Never
    City product per capita is computed from city GDP and city population data source from OECD.
  • 30+ Downloads
    Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More
    Modified [?]: 29 January 2016
    Dataset Added on HDX [?]: 14 January 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.