Esso Petrol Station Locations Dataset – UK

Esso Petrol Station Locations Dataset – UK

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Esso is a leading fuel brand in the UK, recognized for its Synergy fuels and extensive nationwide network. Many sites feature convenience partnerships such as Tesco Express.

There are 1,537 Esso Petrol Stations as of 7 July 2026 in the UK. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Esso locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Summary

  • Dataset Coverage: 1,537 Esso petrol stations in the UK
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • File Format: Fully geocoded CSV dataset (UTF-8)
  • Free Sample: Instantly accessible dataset to verify structure and data quality
  • Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
  • Last Updated: 7 July 2026

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Map showing the geographical distribution of Esso locations in UK

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Town
  • Local authority
  • District
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)85%
  • Web Address85%
  • Opening Hours86%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Esso dataset in UK

ID Location Title Latitude Longitude Postal Code Full Address
435337f... Esso (Potters Bar) 51.690568 -0.178664 EN6 2QU 46 A1000, EN6 2QU, Hertfordshire, Uni...
7e31a1d... Esso (Ashford) 51.422260 -0.444544 TW15 1RZ 404 STAINES ROAD, WEST, TW15 1RZ, Sur...
128365c... Esso (Montrose) 56.723357 -2.465272 DD10 9AY 108-124 North Esk Road, DD10 9AY, Ang...
20883a4... Esso (Swindon) 51.568428 -1.743731 SN3 3RA Dorcan Way, SN3 3RA, Swindon, United ...
64c7624... Esso (Newcastle upon Tyne) 54.975384 -1.626064 NE4 6BA 21 Barrack Road, NE4 6BA, Tyne and We...

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

Why download from Geolocet?

  • Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
  • Free sample first - verify structure, fields, and coordinate precision before you commit
  • Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
  • Regularly updated - last updated 7 July 2026

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Esso locations in the UK is found in England (1345 sites). This is followed by Scotland (125 sites) and Wales (65 sites).

Learn more about the brand network in our report: View Report

Also available for the UK

Brand bundle

Top 10 Petrol Stations Brands in the UK - €360

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View Top Brands dataset →

Full market coverage

All Petrol Stations Locations in the UK - complete POI dataset

Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.

View full POI dataset →

Need the data in another format?

We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.

Who uses this data?

  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

Frequently Asked Questions

Q: What coordinate reference system is used?

A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).

Q: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Can this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Esso dataset to identify underserved regions in the UK for potential market expansion."
  • "Analyze proximity between Esso locations and major highways, ring roads, or arterial transport corridors in the UK."
  • "Compare the spatial distribution of Esso locations against major competitor clusters to identify overlap and whitespace opportunities in the UK."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.