List of INGO Petrol Stations in Denmark: 196 Locations (CSV)

List of INGO Petrol Stations in Denmark: 196 Locations (CSV)

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INGO is a discount petrol station chain in Denmark and Sweden, formerly known as Jet before being acquired and rebranded by the Finnish company St1. It offers automated, low-price fuel with a focus on simplicity and accessibility in urban areas.

As of 27 October 2026, INGO operates 196 petrol stations in Denmark, according to Geolocet. Region Midtjylland has 57 of them, Region Syddanmark 48 and Region Nordjylland 33. The CSV file has 18 fields, including Phone (present in 98.5% of records), Website (98.0%) and Opening hours (98.0%).

Dataset Summary

  • Dataset Coverage: 196 INGO petrol stations in Denmark
  • 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: 27 October 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 INGO locations in Denmark

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Kommune
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Fuel Type
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)98%
  • Web Address98%
  • Opening Hours98%
  • Popularity Score100%
  • Fuel Type97%

Data Preview: Sample geospatial records from the INGO dataset in Denmark

ID Location Title Latitude Longitude Postal Code Full Address
0fe9e4c... INGO (Nors) 57.023391 8.681698 7700 Nors, 7700, Denmark
dc1ca61... INGO (Struer) 56.479118 8.581812 7600 3 Fælledvej, Struer, 7600, Denmark
f1a4fb2... INGO (Søborg) 55.739750 12.486067 2860 369 Gladsaxevej, Søborg, 2860, Denmark
0d99127... INGO (København SV) 55.660796 12.557084 2450 4 Vasbygade, København, 2450, Denmark
4618cce... INGO (København SV) 55.649987 12.522480 2450 49 Ellebjergvej, København, 2450, Den...

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 27 October 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 INGO locations in Denmark is found in Region Midtjylland (57 sites, equivalent to 4.12 INGO petrol stations per 100,000 residents). This is followed by Region Syddanmark (48 sites; 3.86 per 100,000) and Region Nordjylland (33 sites; 5.56 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 5.56 locations per 100,000 people (population: 590,000), making it the most saturated region for INGO in Denmark. By contrast, Region Hovedstaden records only 1.6 locations per 100,000 residents (population: 1,940,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Denmark.

Region INGO Locations Population Density per 100,000
Region Midtjylland 57 1,380,000 4.12
Region Syddanmark 48 1,240,000 3.86
Region Nordjylland 33 590,000 5.56
Region Hovedstaden 31 1,940,000 1.6
Region Sjælland 27 855,000 3.15

Geolocet is a store location data provider. See also our POI datasets.

Also available for Denmark

Brand bundle

Top 10 Petrol Station Brands in Denmark: 2,425 Locations

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

View the Top 10 Petrol Station Brands dataset →

Full market coverage

Denmark Petrol Station POI Dataset: 2,933 Locations

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 the Denmark Petrol Station 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?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • 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).
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

Frequently Asked Questions

Q: How many INGO petrol stations are there in each Region of Denmark?

A: INGO has 57 petrol stations in Region Midtjylland, 48 in Region Syddanmark, 33 in Region Nordjylland, 31 in Region Hovedstaden and 27 in Region Sjælland. Stores per 100,000 residents: 4.12 in Region Midtjylland, 3.86 in Region Syddanmark, 5.56 in Region Nordjylland, 1.60 in Region Hovedstaden and 3.15 in Region Sjælland.

Q: Which fields does the dataset include, and how complete are they?

A: The dataset has 18 fields, and GUID, Title, Latitude, Longitude, City, Kommune, Region, Population, Postal Code, Address and Popularity Score are each present in 100% of records. Street No is present in 91.3% of records, Street in 91.3%, Wheelchair in 28.6%, Phone in 98.5%, Website in 98.0%, Fuel Type in 97.4% and Opening hours in 98.0%.

Q: When was the data last updated?

A: Geolocet last updated this INGO dataset on 27 October 2026.

Q: Under which licence can I use the data?

A: The Geolocet terms of use at https://geolocet.com/pages/terms-of-use set out how you can use this INGO dataset.

Q: In which format is the data delivered?

A: The Danish INGO petrol station data is delivered as a CSV file with 18 fields.

Analyze this data with AI

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

  • "Analyze this INGO dataset to identify underserved regions in Denmark for potential market expansion."
  • "Analyze the clustering behavior of INGO locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
  • "Generate regional density heatmaps showing where INGO has the strongest and weakest retail presence in Denmark."

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.