Jersey

Datasets [28] | Archived Datasets[0] [?]
  • Time Period of the Dataset [?]: September 30, 2023-March 28, 2024 ... More
    Modified [?]: 28 March 2024
    Dataset Added on HDX [?]: 14 December 2023
    Conflict and disaster population movement (flows) data for Jersey. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
    10+ Downloads
    This dataset updates: Every day
    This dataset is part of the data series [?]: IDMC - Internal Displacement Updates
  • Time Period of the Dataset [?]: January 01, 2020-March 22, 2024 ... More
    Modified [?]: 28 March 2024
    Dataset Added on HDX [?]: 15 December 2021
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Bailiwick of Jersey. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
    100+ Downloads
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
  • Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More
    Modified [?]: 24 March 2024
    Dataset Added on HDX [?]: 23 October 2022
    Food Prices for Jersey. Contains data from the FAOSTAT bulk data service.
    50+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
  • Time Period of the Dataset [?]: October 13, 2021-October 13, 2021 ... More
    Modified [?]: 15 March 2024
    Dataset Added on HDX [?]: 2 June 2020
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
    24000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Railways
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Financial Services
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Waterways
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap contains roughly 9.1 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 100% of the total buildings.The average age of data for this region is 8 months ( Last edited 14 days ago ) and 2% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Buildings
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap contains roughly 1.3 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 96 % of the total road length in the dataset region. The average age of data for the region is 8 months ( Last edited 14 days ago ) and 8% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    10+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Roads
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Airports
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Points of Interest
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Sea Ports
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
  • Time Period of the Dataset [?]: March 04, 2024-March 04, 2024 ... More
    Modified [?]: 4 March 2024
    Dataset Added on HDX [?]: 12 May 2020
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Populated Places
  • Time Period of the Dataset [?]: November 28, 2012-October 27, 2023 ... More
    Modified [?]: 8 February 2024
    Dataset Added on HDX [?]: 4 December 2019
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
    200+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
  • Time Period of the Dataset [?]: December 31, 2023-December 31, 2023 ... More
    Modified [?]: 31 December 2023
    Dataset Added on HDX [?]: 4 June 2019
    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
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data
  • Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    Jersey population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
  • Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More
    Modified [?]: 10 July 2023
    Dataset Added on HDX [?]: 13 April 2022
    Jersey administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 30 May 2022
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
    30+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 21 March 2023
    Dataset Added on HDX [?]: 21 March 2023
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Jersey: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
    200+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 1970-December 31, 2012 ... More
    Modified [?]: 21 December 2022
    Dataset Added on HDX [?]: 4 August 2021
    Education indicators for Jersey. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September)
    100+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UNESCO - Education Indicators
  • Time Period of the Dataset [?]: December 17, 2020-January 11, 2024 ... More
    Modified [?]: 28 November 2022
    Dataset Added on HDX [?]: 17 December 2020
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
    5800+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: September 21, 2020-September 21, 2020 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
    4000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 29 June 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. 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
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts