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.

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.

This method returns the council tax band and the corresponding council tax figure.

Council tax bands are retrieved for each individual property, with tax values derived from levels set by local authorities. Figures include adult social care and parish precepts.

Address Format Recommendations

This method utilises sophisticated heuristics to match the searched property address to the council tax database. In 99% of cases, a match is found. However, please follow the recommendations below to achieve the best results:

1. The address should be sufficient to identify the exact property. If several properties correspond to the input, the method will return an error.
2. Best results are achieved when using the address derived from the SINGLE_LINE_ADDRESS field of the OS AddressBase datasets.
3. If you do not utilise OS AddressBase datasets, please include the following data: Flat, BuildingName, BuildingNumber, StreetName, Town or PostTown, Postcode.

We suggest using commas as delimiters as shown in this example. Some data points may not exist for each particular address. In this case, simply ignore them.

Address format examples:

5 WOODBINE TERRACE, EXETER, EX4 4LJ
where 5 is BuildingNumber, WOODBINE TERRACE is StreetName, EXETER is Town, EX4 4LJ is Postcode.

FLAT 1, CHARLOTTE COURT, INVERMEAD CLOSE, LONDON, W6 0WW
where FLAT 1 is Flat, CHARLOTTE COURT is BuildingName, INVERMEAD CLOSE is StreetName, LONDON is Town, W6 0WW is Postcode.

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.

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

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.

This method returns Census 2021 estimates that classify all households by household size.

Household size is the number of people in the household. Visitors staying at an address do not count to that household's size.

Household size is split into 10 categories including total.

The estimates are as at Census Day, 21 March 2021.

This method returns Census 2021 estimates that classify usual residents aged one year and over by their address one year ago, in order to determine their status as a migrant from within or outside the UK.

The migration indicator classifies people based on the difference between their current address and their address one year ago. It provides an indicator of the movement of people within the UK and from outside the UK, in the one-year period before the census.

Migrant Indicator is split into 5 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.

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.

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

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.

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.

This method returns Census 2021 estimates that classify usual residents aged 16 years and over by sexual orientation.

This dataset classifies people according to the responses to the sexual orientation question. This question was voluntary and was only asked of people aged 16 years and over.

The estimates are as at Census Day, 21 March 2021.

This method returns Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by gender identity.

This dataset classifies people according to the responses to the gender identity question. This question was voluntary and was only asked of people aged 16 years and over.

The estimates are as at Census Day, 21 March 2021.

This method returns Census 2021 estimates that classify usual residents aged 16 years and over who were not in employment on Census Day, 21 March 2021, by whether and when they were last employed.

This dataset classifies people who were not in employment on Census Day into:

• Not in employment: Worked in the last 12 months
• Not in employment: Not worked in the last 12 months
• Not in employment: Never worked

The estimates are as at Census Day, 21 March 2021.

This method returns Census 2021 estimates that classify all household spaces with at least one usual resident in England and Wales by number of bedrooms.

Number of bedrooms is the number of bedrooms in a household's accommodation. This number is not available for household spaces with no usual residents.

“Number of bedrooms” is split into 5 categories including total.

The estimates are as at Census Day, 21 March 2021.

This method returns historical annual crime rates (total and by crime type) for the years starting 2011. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA, LAD or region.

The crime rates are calculated per 1,000 resident population derived from the census 2011 and 2021.

The dataset is updated annually.

This method returns Census 2021 estimates that classify households by occupancy rating based on the number of rooms in the household.

Occupancy rating for rooms defines whether a household's accommodation is overcrowded, ideally occupied or under-occupied. This is calculated by comparing the number of rooms the household requires to the number of available rooms.

The number of rooms the household requires uses a formula which states that:

• one-person households require three rooms comprised of two common rooms and one bedroom
• two-or-more person households require a minimum of two common rooms and a bedroom for each person inline with the Bedroom Standard

People who should have their own room according to the Bedroom Standard are:

• married or cohabiting couple
• single parent
• person aged 16 years and over
• pair of same-sex persons aged 10 to 15 years
• person aged 10 to 15 years paired with a person under 10 years of the same sex
• pair of children aged under 10 years, regardless of their sex
• person aged under 16 years who cannot share a bedroom with someone in 4, 5 or 6 above

An occupancy rating of:

• -1 or less: implies that a household's accommodation has fewer rooms than required (overcrowded)
• +1 or more: implies that a household's accommodation has more rooms than required (under-occupied)
• 0: suggests that a household's accommodation has an ideal number of rooms

The number of rooms is taken from Valuation Office Agency (VOA) administrative data for the first time in 2021. The number of rooms is recorded at the address level. This means that for households that live in a shared dwelling, the available number of rooms are counted for the whole dwelling in VOA, and not each individual household.

VOA's definition of a room does not include bathrooms, toilets, halls or landings, kitchens, conservatories or utility rooms. All other rooms, for example, living rooms, studies, bedrooms, separate dining rooms and rooms that can only be used for storage are included.

“Occupancy rating for rooms” is split into 6 categories including total.

The estimates are as at Census Day, 21 March 2021.

This method returns Census 2021 estimates that classify households by the combination of household members speaking the same or different main languages.

This dataset classifies households by whether members speak the same or different main language. If multiple main languages are spoken, this identifies whether they differ between generations or partnerships within the household.

Multiple main languages in household is split into 6 categories including total.

The estimates are as at Census Day, 21 March 2021.