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  • Updated March 20, 2020 | Dataset date: Jan 1, 1993-Dec 31, 2015
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing India - 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.
  • Updated October 9, 2019 | Dataset date: Sep 1, 2016-Apr 1, 2018
    This dataset updates: Every six months
    The Future of Business survey is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises (SMEs). The Future of Business survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. To date, more than 90 million SMEs have created a Facebook Page, and more than 700,000 of these Facebook Page owners have taken the survey. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest. The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download. This dataset contains survey response data aggregated by country and wave. Future of Business Survey website: futureofbusinesssurvey.org
  • Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    information about UNHCR's populations of concern for a given year and country of residence. Data is presented as a yearly time series across the page.
  • Updated Live | Dataset date: Jan 1, 1959-Dec 31, 2025
    This dataset updates: Live
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
  • Updated Live | Dataset date: Jan 1, 2000-Dec 31, 2025
    This dataset updates: Live
    Information about asylum applications in a given year and the progress of asylum-seekers through the refugee status determination process.
  • Updated July 26, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.
  • Updated July 20, 2019 | Dataset date: Jul 19, 2019
    This dataset updates: As needed
    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.
  • Updated July 19, 2019 | Dataset date: Jul 19, 2019
    This dataset updates: As needed
    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.
  • Updated July 19, 2019 | Dataset date: Jul 19, 2019
    This dataset updates: As needed
    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.
  • Updated July 15, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains events in which an aid worker was involved in a road safety accident (RSA). Categorized by country.
  • Updated July 12, 2019 | Dataset date: Jun 19, 2019
    This dataset updates: As needed
    The territories of Pakistan and India are mostly covered by the non-political blocks AS42 through AS50, going roughly from West to East. Please see the attached map of these non-political boundary blocks.
  • Updated Live | Dataset date: Jan 1, 2005-Dec 31, 2025
    This dataset updates: Live
    Information about persons of concern broken down by sex and age, as well as by location within the country of residence (where such information is available). Such data is available since 2000.
  • Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets 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
  • Updated May 27, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. 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).
  • Updated May 27, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2018
    This dataset updates: Every year
    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.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. India 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/WP00605
  • Updated May 27, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2018
    This dataset updates: Every year
    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.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. India 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/WP00554
  • Updated May 6, 2019 | Dataset date: May 3, 2019-May 3, 2019
    This dataset updates: Never
    TSR gust footprint for Cyclonic Storm FANI - 2019-May 3 - Credit: Tropical Storm Risk/UCL Issued about 3 hours after it made landfall ~15km to the west of Puri in Odisha state, India. The gust footprint shows the magnitude and extent of the peak winds from FANI at landfall and immediately thereafter. Our model indicates that the peak gust at landfall was 150-160 mph and that gusts of 100 mph and over extend over a swathe width of ~100 km. The wind damage from FANI will almost certainly be severe. This damage will be exacerbated by heavy rains and an expected high storm surge. Unfortunately the forecast wind swathe for FANI is in line with the heavily populated cities of Bhubaneshwar and Cuttack.
  • Updated Live | Dataset date: Jan 1, 2019-Jan 1, 2020
    This dataset updates: Live
    Live list of active aid activities for India shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • Updated March 14, 2019 | Dataset date: Dec 31, 2018
    This dataset updates: Every year
    This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin. Attributes provides details such as storm Name, Date, Time, wind speed and GPS points for each advisory point. Wind speeds are in knots for more details on speeds conversion and storm categories please visit the original source of data: UNISYS (http://weather.unisys.com/hurricane/index.php), NOAA (http://rammb.cira.colostate.edu/products/tc_realtime/index.asp)
  • Updated Live | Dataset date: Jan 1, 1999-Dec 31, 2025
    This dataset updates: Live
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
  • Updated Live | Dataset date: Jan 1, 1959-Dec 31, 2025
    This dataset updates: Live
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
  • Updated Live | Dataset date: Jan 1, 1999-Dec 31, 2025
    This dataset updates: Live
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
  • Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern originating from India. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern residing in India. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    information about UNHCR's populations of concern for a given year and country of origin. Data is presented as a yearly time series across the page.