India

Key Figures
Datasets [138] | Archived Datasets[6] [?]
  • Time Period of the Dataset [?]: December 31, 2019-September 23, 2020 ... More
    Modified [?]: 10 February 2022
    Dataset Added on HDX [?]: 7 May 2020
    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
    2200+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: December 23, 2015-December 23, 2015 ... More
    Modified [?]: 30 October 2018
    Dataset Added on HDX [?]: 23 December 2015
    This dataset contains the daily summaries on base stations across India. The four indicators included are: * TPCP: Total precipitation * MXSD: Maximum snow depth * TSNW: Total snow fall * EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.
    90+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Daily Summaries of Precipitation Indicators
  • Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
    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.
    100+ Downloads
  • Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More
    Modified [?]: 29 January 2016
    Dataset Added on HDX [?]: 14 January 2016
    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.
    100+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure
  • Time Period of the Dataset [?]: December 04, 2015-December 04, 2015 ... More
    Modified [?]: 10 December 2015
    Dataset Added on HDX [?]: 10 December 2015
    This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 24 November 2015, 12 November 2015, 14 October 2015 and 01 September 2015. UNITAR-UNOSAT identified expansion of waters in the area of Chennai. Standing waters extended between the 24 November 2015 and 12 November 2015 and the total water expansion is estimated to be about 10% between the two dates. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 26, 2015-November 26, 2015 ... More
    Modified [?]: 10 December 2015
    Dataset Added on HDX [?]: 10 December 2015
    This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 12 November 2015, 01 September 2015, and 14 October 2015, UNITAR-UNOSAT identified expansion of wetlands and standing waters in the area of Chennai and also some saturated soils areas which are mainly agricultural fields. Saturation in the area increased between 14 October 2015 and 12 November 2015, and the total water expansion is estimated to be about 28%. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    20+ Downloads
    This dataset updates: Never