CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Open Postcode Geo is a postcode dataset and API optimised for geocoding applications. You can use Open Postcode Geo to geocode a dataset, geocode user input, and therefore build a proximity search.
Data is derived from the ONS (Office for National Statistics) postcode database and is free to use, subject to including attributions to ONS, OS (Ordinance Survey) and Royal Mail.
Information is also provided on a range of topics, including education, health, crime, business, etc.
Postcodes can be entered at area, district, sector, and unit level - see Postcode map for the geographical relationship between these.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
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.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns Census 2021 estimates on the number of households in England and Wales.
The estimates are as at Census Day, 21 March 2021.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns total crime rates, crime rates by crime types, area ratings by total crime, and area ratings by crime type for small areas (Lower Layer Super Output Areas, or LSOAs) and Local Authority Districts (LADs). The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA or LAD.
All figures are annual (for the last 12 months).
The crime rates are calculated per 1,000 resident population derived from the census 2021.
The dataset is updated on a monthly basis, with a 3-month lag between the current date and the most recent data.
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Estimates of mean annual household income for the year 2022 for small areas (Middle layer Super Output Areas, or MSOAs). The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding MSOA.
Date of the next update to be announced.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector centroids for the Live Postcodes in the UK as at May 2025.
The centroids are of every live postcode in the United Kingdom
Contains both Ordnance Survey and ONS Intellectual Property Rights.
REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Online_ONS_Postcode_Directory_Live/FeatureServer
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns monthly crimes (total and by crime type) starting from December 2010. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA.
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This method provides statistics on relative deprivation in England, Wales, and Scotland, including:
The indices assess deprivation at a small-area level:
Each area is ranked from most to least deprived:
The ranks are available in the imdRank
field, with domain-specific ranks in fields such as incomeRank
, employmentRank
, crimeRank
, etc.
To simplify, areas are also categorized into deciles (1 = most deprived, 10 = least deprived), available in fields like imdDecile
, incomeDecile
, employmentDecile
, etc.
We use deciles to color-code our deprivation map. However, on our consumer platform, we reversed the ratings scale to match user expectations where higher ratings are associated with higher deprivation.
For example, postcode W6 0LJ (imdDecile 2, a highly deprived area) is displayed as “_Index of Multiple Deprivation - 9/10 or high_” on the consumer platform.
A global self-hosted location dataset containing all administrative divisions, cities, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.
Use cases for the Global Zip Code Database (Geospatial data)
Address capture and validation
Map and visualization
Reporting and Business Intelligence (BI)
Master Data Mangement
Logistics and Supply Chain Management
Sales and Marketing
Data export methodology
Our location data packages are offered in variable formats, including .csv. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.
Product Features
Fully and accurately geocoded
Administrative areas with a level range of 0-4
Multi-language support including address names in local and foreign languages
Comprehensive city definitions across countries
For additional insights, you can combine the map data with:
UNLOCODE and IATA codes
Time zones and Daylight Saving Times
Why do companies choose our location databases
Enterprise-grade service
Reduce integration time and cost by 30%
Weekly updates for the highest quality
Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.
Doorda's UK Vulnerability Data provides a comprehensive database of over 1.8M postcodes sourced from 30 data sources, offering unparalleled insights for location intelligence and analytics purposes.
Volume and stats: - 1.8M Postcodes - 5 Vulnerability areas covered - 1-100 Vulnerability rating
Our Residential Real Estate Data offers a multitude of use cases: - Market Analysis - Identify Vulnerable Consumers - Mitigate Lead Generation Risk - Risk Management - Location Planning
The key benefits of leveraging our Residential Real Estate Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source
Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.
Doorda's UK Geodemographic Data provides a comprehensive database of over 2.2 million Postcodes, linked to 230 thousand Output Areas sourced from 173 data sources, offering unparalleled insights for location intelligence and modelling purposes.
Volume and stats: - 2.2M Postcodes locations - 230K Comparable output areas linked to postcodes - Consolidated UK census from England & Wales, Scotland and Northern Ireland
Our Geodemographic Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Targeted Marketing - Customer Segmentation - Location Planning
The key benefits of leveraging our Geodemographic Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source
Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns Census 2021 estimates that classify usual residents by their national identity.
Someone's national identity is a self-determined assessment of their own identity, it could be the country or countries where they feel they belong or think of as home. It is not dependent on ethnic group or citizenship. Respondents could select more than one national identity.
National identity is split into 91 categories including total.
The estimates are as at Census Day, 21 March 2021.
Doorda's UK Health Data provides a comprehensive database covering 1.8M postcodes sourced from 20 data sources, offering unparalleled insights for local area health insights and analytics purposes.
Volume and stats: - 1.8M Postcodes - UK Coverage - Age and Gender bands
Our Health Data offers a multitude of use cases: - Market Analysis - Geodemographic Insights - Risk Management - Location Planning
The key benefits of leveraging our Health Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source
Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The property subsidence assessment dataset provides an understanding of the shrink-swell hazard at both the individual property and/or postcode level for England and Wales. It builds upon the BGS GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The data consist of GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate these phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP (BGS GeoSure Insurance Product) and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level. BGS GeoSure - a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain
A global self-hosted Market Research dataset containing all administrative divisions, cities, addresses, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.
Use cases for the Global Zip Code Database (Market Research data)
Address capture and validation
Map and visualization
Reporting and Business Intelligence (BI)
Master Data Mangement
Logistics and Supply Chain Management
Sales and Marketing
Data export methodology
Our map data packages are offered in variable formats, including .csv. All geographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.
Product Features
Fully and accurately geocoded
Administrative areas with a level range of 0-4
Multi-language support including address names in local and foreign languages
Comprehensive city definitions across countries
For additional insights, you can combine the map data with:
UNLOCODE and IATA codes
Time zones and Daylight Saving Times
Why do companies choose our Market Research databases
Enterprise-grade service
Reduce integration time and cost by 30%
Weekly updates for the highest quality
Note: Custom geographic data packages are available. Please submit a request via the above contact button for more details.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns Census 2021 estimates that classify households by the diversity in ethnic group of household members in different relationships.
This dataset classifies households by whether members identify as having the same or different ethnic groups. If multiple ethnic groups are present, this identifies whether they differ between generations or partnerships within the household.
Multiple ethnic groups in household are split into 6 categories including total.
The estimates are as at Census Day, 21 March 2021.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d
This dataset is the Derived Postcode Database issued as part of the GeoSure Insurance V7 incorporating postcode data from OS Code-Point Open version 2016.1. The GeoSure Insurance Product (including the Derived Postcode Database) represents the end of an interpretation process, starting with the BGS Digital Geological Map of Great Britain at the 1:50,000 scale (DiGMapGB-50). This digital map is the definitive record of the types of rocks underlying Great Britain (excluding the Isle of Man), as represented by various layers, starting with Bedrock and moving up to overlying Superficial layers. In 2003, the BGS also published a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain, called GeoSure. There are six separate hazards considered - shrink-swell clays, slope instability, dissolution of soluble ground, running sand, compressible and collapsible deposits. These maps were derived by combining the rock-type information from DiGMapGB-50 with a series of other influencing factors which may cause the geological hazards (e.g. steep slopes, groundwater). In 2005, the BGS used the GeoSure maps to make an interpretation of subsidence insurance risk for Great Britain property insurance industry, released as the new GeoSure Insurance Product. This represents the combined effects of the 6 GeoSure hazards on (low-rise) buildings in a postcode database - the Derived Postcode Database, which can be accompanied by GIS maps showing the most significant hazard areas. The combined hazard is represented numerically in the Derived Postcode Database as the Total Hazard Score, with a breakdown into the component hazards. The GeoSure Derived Postcode Database (DPD) is a stand-alone database, which can be provided separately to the full GeoSure Insurance Product V7. The methodology behind the DPD involves balancing the 6 GeoSure natural ground stability hazards against each other. The GeoSure maps themselves have a fivefold coding (A to E), and the balancing exercise involves comparing each level across the six hazards e.g. comparing a level C shrink-swell clay area with a level C running sand area. The comparison is done by a process involving expert analysis and statistical interpretations to estimate the potential damage to a property (specifically low-rise buildings only). Each level of each of the hazards is given a 'hazard score' which can then be added together to derive a Total Hazard Score at a particular location (e.g. within a given postcode).
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This method returns Census 2021 estimates that classify usual residents by religion.
Religion is the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. This question was voluntary and includes people who identified with one of eight tick-box response options, including "No religion", alongside those who chose not to answer this question.
Religion is split into 10 categories including total.
The estimates are as at Census Day, 21 March 2021.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns Census 2021 estimates that classify usual residents by their age of arrival in the UK.
Age of arrival in the UK is derived from the date a person last arrived to live in the UK and their age. Arrival dates do not include returning from short trips away from the UK. Age of arrival only applies to usual residents not born in the UK. It does not include usual residents born in the UK who have emigrated and since returned. These are recorded in the category "born in the UK".
Age of arrival in the UK is split into 19 categories including total.
The estimates are as at Census Day, 21 March 2021.
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This method returns Census 2021 estimates that classify usual residents by long-term health problems or disabilities.
People who assessed their day-to-day activities as limited by long-term physical or mental health conditions or illnesses are considered disabled. This definition of a disabled person meets the harmonised standard for measuring disability and is in line with the Equality Act (2010).
Disability is split into 7 categories including total.
The estimates are as at Census Day, 21 March 2021.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Open Postcode Geo is a postcode dataset and API optimised for geocoding applications. You can use Open Postcode Geo to geocode a dataset, geocode user input, and therefore build a proximity search.
Data is derived from the ONS (Office for National Statistics) postcode database and is free to use, subject to including attributions to ONS, OS (Ordinance Survey) and Royal Mail.
Information is also provided on a range of topics, including education, health, crime, business, etc.
Postcodes can be entered at area, district, sector, and unit level - see Postcode map for the geographical relationship between these.