9 datasets found
  1. a

    Wessex Water Domestic Water Quality

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 30, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    sophie.sherriff_wessex (2024). Wessex Water Domestic Water Quality [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/acc078ffd7a44426998ebfa3f468e89f
    Explore at:
    Dataset updated
    Jan 30, 2024
    Dataset authored and provided by
    sophie.sherriff_wessex
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    OverviewWater companies in the UK are responsible for testing the quality of drinking water. This dataset contains the results of samples taken from the taps in domestic households to make sure they meet the standards set out by UK and European legislation. This data shows the location, date, and measured levels of determinands set out by the Drinking Water Inspectorate (DWI).Key Definitions  AggregationProcess involving summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes  Anonymisation Anonymised data is a type of information sanitisation in which data anonymisation tools encrypt or remove personally identifiable information from datasets for the purpose of preserving a data subject's privacy Dataset Structured and organised collection of related elements, often stored digitally, used for analysis and interpretation in various fields.  Determinand A constituent or property of drinking water which can be determined or estimated. DWI Drinking Water Inspectorate, an organisation “providing independent reassurance that water supplies in England and Wales are safe and drinking water quality is acceptable to consumers.”  DWI Determinands Constituents or properties that are tested for when evaluating a sample for its quality as per the guidance of the DWI. For this dataset, only determinands with “point of compliance” as “customer taps” are included.   Granularity Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours ID Abbreviation for Identification that refers to any means of verifying the unique identifier assigned to each asset for the purposes of tracking, management, and maintenance.  LSOA Lower-Level Super Output Area is made up of small geographic areas used for statistical and administrative purposes by the Office for National Statistics. It is designed to have homogeneous populations in terms of population size, making them suitable for statistical analysis and reporting. Each LSOA is built from groups of contiguous Output Areas with an average of about 1,500 residents or 650 households allowing for granular data collection useful for analysis, planning and policy- making while ensuring privacy.  ONS Office for National Statistics  Open Data Triage The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.  Sample A sample is a representative segment or portion of water taken from a larger whole for the purpose of analysing or testing to ensure compliance with safety and quality standards.  Schema Structure for organizing and handling data within a dataset, defining the attributes, their data types, and the relationships between different entities. It acts as a framework that ensures data integrity and consistency by specifying permissible data types and constraints for each attribute.  Units Standard measurements used to quantify and compare different physical quantities.  Water Quality The chemical, physical, biological, and radiological characteristics of water, typically in relation to its suitability for a specific purpose, such as drinking, swimming, or ecological health. It is determined by assessing a variety of parameters, including but not limited to pH, turbidity, microbial content, dissolved oxygen, presence of substances and temperature.Data HistoryData Origin  These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database.Data Triage Considerations Granularity Is it useful to share results as averages or individual? We decided to share as individual results as the lowest level of granularity Anonymisation It is a requirement that this data cannot be used to identify a singular person or household. We discussed many options for aggregating the data to a specific geography to ensure this requirement is met. The following geographical aggregations were discussed: • Water Supply Zone (WSZ) - Limits interoperability with other datasets • Postcode – Some postcodes contain very few households and may not offer necessary anonymisation • Postal Sector – Deemed not granular enough in highly populated areas • Rounded Co-ordinates – Not a recognised standard and may cause overlapping areas • MSOA – Deemed not granular enough • LSOA – Agreed as a recognised standard appropriate for England and Wales • Data Zones – Agreed as a recognised standard appropriate for Scotland Data Triage Review Frequency Annually unless otherwise requested Publish FrequencyAnnuallyData Specifications • Each dataset will cover a year of samples in calendar year • This dataset will be published annually • Historical datasets will be published as far back as 2016 from the introduction of The Water Supply (Water Quality) Regulations 2016 • The determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate. • A small proportion of samples could not be allocated to an LSOA – these represented less than 0.1% of samples and were removed from the dataset in 2023. • The postcode to LSOA lookup table used for 2022 was not available when 2023 data was processed, see supplementary information for the lookup table applied to each calendar year of data. Context Many UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset. Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. Some samples are tested on site and others are sent to scientific laboratories.Supplementary informationBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.   1. Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/   2. LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf   3. Description for LSOA boundaries by the ONS: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies4. Postcode to LSOA lookup tables (2022 calendar year data): https://geoportal.statistics.gov.uk/datasets/postcode-to-2021-census-output-area-to-lower-layer-super-output-area-to-middle-layer-super-output-area-to-local-authority-district-august-2023-lookup-in-the-uk/about   5. Postcode to LSOA lookup tables (2023 calendar year data):  https://geoportal.statistics.gov.uk/datasets/b8451168e985446eb8269328615dec62/about6. Legislation history: https://www.dwi.gov.uk/water-companies/legislation/

  2. ONS Postcode Directory (February 2024) for the UK

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Feb 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2024). ONS Postcode Directory (February 2024) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e14b1475ecf74b58804cf667b6740706
    Explore at:
    Dataset updated
    Feb 18, 2024
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

  3. a

    Listed Buildings

    • nottingham-city-council-open-data-geoportal-nottmcitycouncil.hub.arcgis.com
    • cloud.csiss.gmu.edu
    • +3more
    Updated Jun 5, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nccgisteam (2017). Listed Buildings [Dataset]. https://nottingham-city-council-open-data-geoportal-nottmcitycouncil.hub.arcgis.com/items/2ea748f182254e819ffd60c4f7437252
    Explore at:
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    nccgisteam
    Area covered
    Description

    This dataset represents the location of listed buildings in Nottingham City and contains some textual information including the address, grade, designation date and description.Please note some features in this data are represented by multiple individual points to give better spatial accuracy to the records (for example multiple building parts, or multiple columns) - the NCC_Ref attribute can be used to aggregate up into single features, if required. A Listed Building is one that is recognised as being of national importance. Buildings with listed status are recorded on an official register called The National Heritage List for England (NHLE). Listing marks and celebrates a building's special architectural and historic interest, and also brings it under the consideration of the planning system, so that it can be protected for future generations.The older a building is, and the fewer the surviving examples of its kind, the more likely it is to be listed. The general principles are that all buildings built before 1700 which survive in anything like their original condition are likely to be listed, as are most buildings built between 1700 and 1850. Particularly careful selection is required for buildings from the period after 1945. Buildings less than 30 years old are not normally considered to be of special architectural or historic interest because they have yet to stand the test of time.Please note, this data may vary from Historic England's national data. As this is sourced internally by Nottingham City Council, this data is the most up to date for Nottingham.

  4. Rural Urban Classification (2001) of Local Authority Districts in EW (DEFRA)...

    • geoportal.statistics.gov.uk
    Updated Mar 6, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2017). Rural Urban Classification (2001) of Local Authority Districts in EW (DEFRA) [Dataset]. https://geoportal.statistics.gov.uk/datasets/8ca2c3ab60e74a2693a4f3b912f6c787
    Explore at:
    Dataset updated
    Mar 6, 2017
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    The Rural Definition was introduced in 2004 as a joint project between the Commission for Rural Communities (CRC - formerly the Countryside Agency), the Department for Environment, Food and Rural Affairs (Defra), the Office for National Statistics (ONS), the Office of the Deputy Prime Minister (ODPM) and the Welsh Assembly. It was delivered by the Rural Evidence Research Centre at Birkbeck College (RERC).A) This new 'spectrum', or graded system, replaces the earlier Oxford/CA binary ward classification and adopts a settlement-based approach.B) It is available for England and Wales at:Census Output Area (COA or OA)Census Super Output Area (CSOA or SOA)Ward[OAs consist of ~125 households and have a population of ~300. SOAs are built of OAs, typically 5, and so contain ~625 households or a mean population of ~1500. OAs therefore vary greatly in size and shape between urban and rural regions, for example a single tower block may consist of more than one OA, whereas a large area of remote moorland may be covered by a single OA.] More information on OAs and SOAs.C) Output areas are classified by morphology and context:MorphologyUrban (over 10,000)Rural townVillageDispersed (hamlets and isolated dwellings)And contextSparseLess sparseThis gives 8 Urban/Rural Classification (1 urban and 6 rural):Urban (Sparse)Urban (Less Sparse)Town (Less Sparse)Town (Sparse)Village (Less Sparse)Village (Sparse)Dispersed (Less Sparse)Dispersed (Sparse)In April 2009 significant changes in the structure of local government came into force. These changes, especially the creation of 9 new unitary authorities, have necessitated an update to the Local Authority Classification. The Government Statistical Service Regional and Geography Group (GSSRG) commissioned a working group to look at this issue, and the outcome of this working group is a revised LA Classification. Detailed information about the changes can be found here, with guidance on how to use the Definition and Classification here.

  5. Southern Water Domestic Water Quality

    • streamwaterdata.co.uk
    Updated May 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DSlidel_southernwater (2024). Southern Water Domestic Water Quality [Dataset]. https://www.streamwaterdata.co.uk/datasets/f6a77acc71494f0dbf59249a2cb7729d
    Explore at:
    Dataset updated
    May 21, 2024
    Dataset provided by
    Southern Water
    Authors
    DSlidel_southernwater
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data Origin  These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database.  Context Many UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. Some samples are tested on site and others are sent to scientific laboratories. Data TriageWe are sharing individual results, anonymised by mapping samples to LSOA (lower super output area).Data Specifications Each dataset will cover a calendar year of samples.This dataset will be published annually.The Determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate. Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.   Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/   LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf   Description for LSOA boundaries by the ONS: Census 2021 geographies - Office for National Statistics (ons.gov.uk) Postcode to LSOA lookup tables:  https://geoportal.statistics.gov.uk/datasets/postcode-to-2021-census-output-area-to-lower-layer-super-output-area-to-middle-layer-super-output-area-to-local-authority-district-august-2023-lookup-in-the-uk/about Legislation history https://www.dwi.gov.uk/water-companies/legislation/

  6. a

    Schools

    • hub.arcgis.com
    Updated Nov 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DCC Public GIS Portal (2024). Schools [Dataset]. https://hub.arcgis.com/datasets/dundeecity::schools-1?uiVersion=content-views
    Explore at:
    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    DCC Public GIS Portal
    Area covered
    Description

    WARNINGThis data is provided here for users of specialist GIS software only. The same information is available in a much more user-friendly format in the Services near me page on the main council website, and anyone interested in enrolling a child in school should see the page on Enrolment in Primary and Secondary Schools in DundeeDescriptionThis layer contains 5 sublayers - 1 shows all Dundee City Council Schools, and the other 4 show catchment boundaries in the following categories:Denominational PrimaryNon-denominational (Roman Catholic) PrimaryDenominational SecondaryNon-denominational (Roman Catholic) SecondaryThe Council uses catchment areas to decide where your child is given a place at school. A catchment area is an area around a single school. Children who live in this area are usually offered a place at the school. For more information please see DCC Guidance on Enrolment at P1 and S1 and on Placing Requests (208KB MS Word doc)LimitationsTBDUpdatesThis data is updated as required. This typically happens around October or November before enrolment starts for the next school year each year. The data may therefore reflect the catchments that are due to take effect at the start of the next school year. Usage This layer can be used directly in Web apps like the ArcGIS Online mapviewer, dashboards, storymaps, etc, some of which are available via the council websiteMobile apps like ArcGIS FieldDesktop apps like ArcGIS ProLinks to this layer can also be found in:Dundee Council open data portal - for technical specialists to download and exploring the data Improvement Service Spatial Hub - included in a national dataset that is collated and distributed by IS. One Dundee GIS Portal based on ArcGIS Enterprise - for DCC staff on internal DCC devices - TBDScottish Government spatial data portal - TBDdata.gov.uk - TBDUsage in other softwareThis data is also available as a Web Feature Service (WFS) for use in other GIS software such as QGIS. Integration tipsFor most integration purposes it will be easier to use one of the UPRN based items mentioned below under 'Related data'To see how to query this layer please see the 'API Explorer' or modify the examples below.Integration examplesNote that these examples output in pretty json, but the f parameter can be used to change this to other output formats such plain JSON or HTML List of all schoolsAll catchments for an XY locationRelated DataThis layer is used to create the following items for use in system integrations:UPRNs with school catchments - map layer intended for use in live integrations like Firmstep\Granicus. This can be queried to provide all the relevant catchments for a UPRN without needing to know the XY coordinates.UPRN to school catchment seedcode lookup tables - collection of CSV files intended for use in disconnected integrations like SEEMIS, but may also be used to remove dependency on a live integration in Firmstep/Granicus.

  7. Highway Boundary (RedLine)

    • opendata.nationalhighways.co.uk
    • hub.arcgis.com
    Updated Feb 5, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Highways (2025). Highway Boundary (RedLine) [Dataset]. https://opendata.nationalhighways.co.uk/maps/95fced9066a342688b3264886bfa639f
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    National Highways
    Area covered
    Description

    This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 11 July 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.

  8. Yorkshire Water Drinking Water Quality 2025

    • portal-streamwaterdata.hub.arcgis.com
    Updated Mar 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yorkshire Water Services (2025). Yorkshire Water Drinking Water Quality 2025 [Dataset]. https://portal-streamwaterdata.hub.arcgis.com/datasets/yorkshire-water::yorkshire-water-drinking-water-quality-2025
    Explore at:
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Yorkshire Waterhttps://www.yorkshirewater.com/
    Authors
    Yorkshire Water Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Data History Data Origin These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database. Data Triage ConsiderationsGranularity We decided to share as individual results as the lowest level of granularity.Anonymisation It is a requirement that this data cannot be used to identify a singular person or household. We discussed many options for aggregating the data to a specific geography to ensure this requirement is met. The following geographical aggregations were discussed:Water Supply Zone (WSZ) - Limits interoperability with other datasets.Postcode – Some postcodes contain very few households and may not offer necessary anonymisation.Postal Sector – Deemed not granular enough in highly populated areas.Rounded Co-ordinates – Not a recognised standard and may cause overlapping areas.MSOA – Deemed not granular enough.LSOA – Agreed as a recognised standard appropriate for England and Wales.Data Zones – Agreed as a recognised standard appropriate for Scotland.Preferred: Geospatial to LSOA.Why is Geospatial to LSOA preferred? It is more accurate since the postcode mapping is best fitted by plotting the location of the postcode's mean address rather than sample point’s specific location.Data Specifications Each dataset will cover a calendar year of samples:This dataset will be published monthly.Historical datasets will be published as far back as 2022 following the introduction of the Water Supply Regulations. https://www.legislation.gov.uk/uksi/2016/614/contents/made The Determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate.ContextMany UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset.Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. In this case these test results are omitted from the dataset.Some samples are tested on site and others are sent to scientific laboratories.Data Publish FrequencyMonthly.Data Triage Review FrequencyAnnually unless otherwise requestedSupplementary information Below is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/ LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf  Description for LSOA boundaries by the ONS: Census 2021 geographies - Office for National Statistics (ons.gov.uk) Postcode to LSOA lookup tables:  Postcode to 2021 Census Output Area to Lower Layer Super Output Area to Middle Layer Super Output Area to Local Authority District (August 2023) Lookup in the UK (statistics.gov.uk) Legislation history: Legislation - Drinking Water Inspectorate (dwi.gov.uk) Dataset SchemaSAMPLE_ID: Identity of the sampleSAMPLE_DATE: The date the sample was takenDETERMINAND: The determinand being measured DWI_CODE: The corresponding DWI code for the determinand UNITS: The expression of resultsOPERATOR: The measurement operator for limit of detection RESULT: The test resultsLSOA or DATA ZONE: Lower Super Output Area or Data Zone (population weighted centroids used by the ONS (Office for National Statistics) for geo-anonymisation)

  9. s

    Postcode (February 2024) to Westminster Parliamentary Constituencies (July...

    • geoportal.statistics.gov.uk
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2024). Postcode (February 2024) to Westminster Parliamentary Constituencies (July 2024) Lookup in EW [Dataset]. https://geoportal.statistics.gov.uk/datasets/209eace00af645e7bae1241c87441cf6
    Explore at:
    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Description

    This CSV file provides a lookup of postcodes in England and Wales as at February 2024 to the new Westminster Parliamentary Constituencies that have become operable on the 4th July 2024. (File size 18MB).

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
sophie.sherriff_wessex (2024). Wessex Water Domestic Water Quality [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/acc078ffd7a44426998ebfa3f468e89f

Wessex Water Domestic Water Quality

Explore at:
Dataset updated
Jan 30, 2024
Dataset authored and provided by
sophie.sherriff_wessex
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

OverviewWater companies in the UK are responsible for testing the quality of drinking water. This dataset contains the results of samples taken from the taps in domestic households to make sure they meet the standards set out by UK and European legislation. This data shows the location, date, and measured levels of determinands set out by the Drinking Water Inspectorate (DWI).Key Definitions  AggregationProcess involving summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes  Anonymisation Anonymised data is a type of information sanitisation in which data anonymisation tools encrypt or remove personally identifiable information from datasets for the purpose of preserving a data subject's privacy Dataset Structured and organised collection of related elements, often stored digitally, used for analysis and interpretation in various fields.  Determinand A constituent or property of drinking water which can be determined or estimated. DWI Drinking Water Inspectorate, an organisation “providing independent reassurance that water supplies in England and Wales are safe and drinking water quality is acceptable to consumers.”  DWI Determinands Constituents or properties that are tested for when evaluating a sample for its quality as per the guidance of the DWI. For this dataset, only determinands with “point of compliance” as “customer taps” are included.   Granularity Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours ID Abbreviation for Identification that refers to any means of verifying the unique identifier assigned to each asset for the purposes of tracking, management, and maintenance.  LSOA Lower-Level Super Output Area is made up of small geographic areas used for statistical and administrative purposes by the Office for National Statistics. It is designed to have homogeneous populations in terms of population size, making them suitable for statistical analysis and reporting. Each LSOA is built from groups of contiguous Output Areas with an average of about 1,500 residents or 650 households allowing for granular data collection useful for analysis, planning and policy- making while ensuring privacy.  ONS Office for National Statistics  Open Data Triage The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.  Sample A sample is a representative segment or portion of water taken from a larger whole for the purpose of analysing or testing to ensure compliance with safety and quality standards.  Schema Structure for organizing and handling data within a dataset, defining the attributes, their data types, and the relationships between different entities. It acts as a framework that ensures data integrity and consistency by specifying permissible data types and constraints for each attribute.  Units Standard measurements used to quantify and compare different physical quantities.  Water Quality The chemical, physical, biological, and radiological characteristics of water, typically in relation to its suitability for a specific purpose, such as drinking, swimming, or ecological health. It is determined by assessing a variety of parameters, including but not limited to pH, turbidity, microbial content, dissolved oxygen, presence of substances and temperature.Data HistoryData Origin  These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database.Data Triage Considerations Granularity Is it useful to share results as averages or individual? We decided to share as individual results as the lowest level of granularity Anonymisation It is a requirement that this data cannot be used to identify a singular person or household. We discussed many options for aggregating the data to a specific geography to ensure this requirement is met. The following geographical aggregations were discussed: • Water Supply Zone (WSZ) - Limits interoperability with other datasets • Postcode – Some postcodes contain very few households and may not offer necessary anonymisation • Postal Sector – Deemed not granular enough in highly populated areas • Rounded Co-ordinates – Not a recognised standard and may cause overlapping areas • MSOA – Deemed not granular enough • LSOA – Agreed as a recognised standard appropriate for England and Wales • Data Zones – Agreed as a recognised standard appropriate for Scotland Data Triage Review Frequency Annually unless otherwise requested Publish FrequencyAnnuallyData Specifications • Each dataset will cover a year of samples in calendar year • This dataset will be published annually • Historical datasets will be published as far back as 2016 from the introduction of The Water Supply (Water Quality) Regulations 2016 • The determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate. • A small proportion of samples could not be allocated to an LSOA – these represented less than 0.1% of samples and were removed from the dataset in 2023. • The postcode to LSOA lookup table used for 2022 was not available when 2023 data was processed, see supplementary information for the lookup table applied to each calendar year of data. Context Many UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset. Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. Some samples are tested on site and others are sent to scientific laboratories.Supplementary informationBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.   1. Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/   2. LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf   3. Description for LSOA boundaries by the ONS: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies4. Postcode to LSOA lookup tables (2022 calendar year data): https://geoportal.statistics.gov.uk/datasets/postcode-to-2021-census-output-area-to-lower-layer-super-output-area-to-middle-layer-super-output-area-to-local-authority-district-august-2023-lookup-in-the-uk/about   5. Postcode to LSOA lookup tables (2023 calendar year data):  https://geoportal.statistics.gov.uk/datasets/b8451168e985446eb8269328615dec62/about6. Legislation history: https://www.dwi.gov.uk/water-companies/legislation/

Search
Clear search
Close search
Google apps
Main menu