Antigua and Barbuda

Key Figures
  • Time Period of the Dataset [?]: December 31, 2021-December 31, 2021 ... More
    Modified [?]: 31 December 2021
    Dataset Added on HDX [?]: 21 July 2017
    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.
    1400+ Downloads
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data
  • Time Period of the Dataset [?]: January 01, 2019-March 28, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    Live list of active aid activities for Antigua and Barbuda 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
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
  • Time Period of the Dataset [?]: January 01, 1990-December 31, 2005 ... More
    Modified [?]: 27 September 2020
    Dataset Added on HDX [?]: 19 November 2019
    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.
    80+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: World Bank - Poverty
  • Time Period of the Dataset [?]: September 01, 2017-September 30, 2017 ... More
    Modified [?]: 22 September 2020
    Dataset Added on HDX [?]: 22 September 2020
    The dataset contains number of IDPs!
    30+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. 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
    10+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
  • Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. 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
    433000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 23 November 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. 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/WP00674
    20+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
  • Time Period of the Dataset [?]: September 07, 2017-March 28, 2024 ... More
    Modified [?]: 28 November 2019
    Dataset Added on HDX [?]: 7 September 2017
    COD 500+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
  • Time Period of the Dataset [?]: January 01, 2008-March 28, 2024 ... More
    Modified [?]: 3 November 2019
    Dataset Added on HDX [?]: 2 June 2014
    List of airports in Antigua and Barbuda, with latitude and longitude. Unverified community data from http://ourairports.com/countries/AG/
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
  • Time Period of the Dataset [?]: July 04, 2019-July 04, 2019 ... More
    Modified [?]: 4 July 2019
    Dataset Added on HDX [?]: 4 July 2019
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution' Features may have these attributes: name, amenity, isced:level, capacity Geometry types: point, polygon This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Latin America and the Caribbean - HOTOSM Schools
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. 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/WP00646
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
  • Time Period of the Dataset [?]: September 29, 2017-September 29, 2017 ... More
    Modified [?]: 22 September 2017
    Dataset Added on HDX [?]: 22 September 2017
    This dataset contains data on who is doing what where (3W) in the Caribbean Hurricanes response.
    200+ Downloads
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA Latin America and the Caribbean- Operational Presence 3W
  • Time Period of the Dataset [?]: September 21, 2017-September 21, 2017 ... More
    Modified [?]: 21 September 2017
    Dataset Added on HDX [?]: 21 September 2017
    Hurricane Maria peak 3-sec gust footprints in kml format (through 9UT 21st Sept 2017) Credit - Tropical Storm Risk/UCL
    100+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: September 11, 2017-September 11, 2017 ... More
    Modified [?]: 21 September 2017
    Dataset Added on HDX [?]: 7 September 2017
    Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017. Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September). Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017) Credit - Tropical Storm Risk/UCL
    300+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 11, 2017-September 11, 2017 ... More
    Modified [?]: 14 September 2017
    Dataset Added on HDX [?]: 11 September 2017
    Includes information from several data sources about Damages and needs assessment
    100+ Downloads
    This dataset updates: Every day
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    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.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Antigua And Barbuda 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/WP00347
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Births
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 5 May 2017
    Dataset Added on HDX [?]: 27 May 2019
    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.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Antigua And Barbuda 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/WP00455
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Pregnancies
  • Time Period of the Dataset [?]: September 13, 2016-September 13, 2016 ... More
    Modified [?]: 14 December 2016
    Dataset Added on HDX [?]: 13 September 2016
    This data is a global overview on Zika Virus.
    200+ Downloads
    This dataset updates: Every two weeks