Coop Supermarket Locations Dataset – Hungary

Coop is one of Hungary's largest retailers, operating as a cooperative of independent regional stores with a strong presence in smaller towns and villages. It emphasizes local community support and provides essential groceries through its different store formats like Coop ABC and Coop Szuper.

There are 1,666 Coop Supermarkets as of 3 August 2026 in Hungary. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Coop locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Coop dataset in Hungary

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
d9384d0...	Coop Áruház (Gyöngyös)	47.781474	19.915581	3200	11 Kócsag utca, Gyöngyös, 3200, Hungary
c692b90...	Coop (Mosonszentmiklós)	47.728640	17.425190	9154	2 Kossuth utca, Mosonszentmiklós, 915...
6cb5484...	Coop Abc (Felsőtelekes)	48.407010	20.635739	3735	54 Fő utca, Felsőtelekes, 3735, Hungary
6112ef6...	Coop (Pécs)	46.040180	18.215957	7632	66 Nagy Imre út, Pécs, 7632, Hungary
19b5560...	Coop Mini (Nyírvasvári)	47.822883	22.183355	4341	11 Bátori utca, Nyírvasvári, 4341, Hu...

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Coop locations in Hungary is found in Észak-Magyarország (359 sites, equivalent to 33.55 Coop supermarkets per 100,000 residents). This is followed by Észak-Alföld (292 sites; 21.01 per 100,000) and Nyugat-Dunántúl (240 sites; 24.74 per 100,000). From a market-penetration perspective, Észak-Magyarország has the highest brand density at 33.55 locations per 100,000 people (population: 1,070,000), making it the most saturated region for Coop in Hungary. By contrast, Közép-Magyarország records only 5.7 locations per 100,000 residents (population: 3,020,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Hungary

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Hungary: Map these Coop locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Hungary: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Coop locations.
• Explore demographics data insights for Hungary: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Hungary (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Income distribution and socio-economic patterns in Hungary - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of Hungary-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Hungary

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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

Frequently Asked Questions

Analyze this data with AI

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

• "Analyze this Coop dataset to identify underserved regions in Hungary for potential market expansion."
• "Identify strategic locations in Hungary where new Coop sites could maximize geographic coverage while minimizing overlap."
• "Identify isolated Coop sites in Hungary that may face operational inefficiencies due to low regional clustering."

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.