SKU: 25001617053

Lidl EV Charging Station Locations Dataset – Romania

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Description

Lidl EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Lidl Romania is the local subsidiary of the German discount supermarket giant Lidl, part of the Schwarz Group. As part of its European sustainability commitment, Lidl integrates EV charging stations into its Romanian stores, with AC charging points available in store car parks across the country, allowing customers to

Lidl Romania is the local subsidiary of the German discount supermarket giant Lidl, part of the Schwarz Group. As part of its European sustainability commitment, Lidl integrates EV charging stations into its Romanian stores, with AC charging points available in store car parks across the country, allowing customers to charge their vehicles during shopping visits.

There are 169 Lidl EV Charging Stations as of 2 June 2026 in Romania. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Lidl 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: 169 Lidl ev charging stations in Romania
  • Contents: Coordinates, addresses, postal codes, and administrative divisions
  • 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: 2 June 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.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Municipality
  • County
  • Population
  • Postal Code
  • Address

Require additional attributes such as charging points, charger types, or charging speed? Contact us to request a custom data enrichment.

Data Preview: Sample geospatial records from the Lidl dataset in Romania

ID Location Title Latitude Longitude Postal Code Full Address
b0a790d... Lidl Charging Station 44.306815 28.621916 905701 Strada D10, Mamaia-Sat, 905701, Oraș ...
a07a77d... Lidl Charging Station 45.762118 24.146661 555300 8 Strada Grigore Ionescu, Cisnădie, 5...
5b1fcd8... Lidl Charging Station 46.520658 21.514266 315100 48 Strada Înfrățirii, Chișineu-Criș, ...
9e85a92... Lidl Charging Station 44.593267 26.033045 077065 216 Șoseaua Unirii, Corbeanca, 077065...
de8a6df... Lidl Charging Station 45.975312 24.625281 555100 30 Strada 1 Decembrie, Agnita, 555100...

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 2 June 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 Lidl locations in Romania is found in București (17 sites, equivalent to 1.0 Lidl ev charging stations per 100,000 residents). This is followed by Ilfov (15 sites; 2.5 per 100,000) and Timiș (13 sites; 1.95 per 100,000). From a market-penetration perspective, Ilfov has the highest brand density at 2.5 locations per 100,000 people (population: 600,000), making it the most saturated region for Lidl in Romania. By contrast, Dolj records only 0.17 locations per 100,000 residents (population: 595,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Romania

Brand bundle

Top 15 EV Charging Stations Brands in Romania - €240

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 EV Charging Stations Locations in Romania - 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 [email protected].

Who uses this data?

  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • 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.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.

Frequently Asked Questions

Q: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

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: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: How recent is this dataset?

A: This dataset was last updated on 2 June 2026 and is periodically refreshed through automated collection and validation workflows.

Analyze this data with AI

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

  • "Analyze this Lidl dataset to identify underserved regions in Romania for potential market expansion."
  • "Assess the accessibility of Lidl locations in Romania based on proximity to population centers and public infrastructure."
  • "Identify locations where multiple Lidl sites compete within overlapping catchment areas in Romania."

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.

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SKU: 25001617053

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C. Hunter
Bozeman, US
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Beta, Alpha, Omega oh my!
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Omegas are precious and given to Alphas & their packs... but the Betas want in too. To this end, the Beta government is rolling out its trial of assigning a Beta to each Alpha-Omega pack. But forcing a Beta into a pack where they are not wanted will not end well... Of course, no one expected the Omega to fall for the assigned Beta. Great read and cliffhanger
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B. Stubby
Cuba, US
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A familiar story, just with…..less.
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So, as other reviewers make clear, this is very similar to Pack Darling and The Beta. It’s much closer aligned with The Beta, in plot and maybe more like Pack Darling with characters. That being said, I don’t hate this…..but it wasn’t great either. It’s both books mentioned but just….less. Less angst, less emotion, less feeling. The plot feels very half fleshed out, and the “bad guy” feels underwhelming. I didn’t really feel any real emotions from and of the male leads, except maybe Oliver. The others fell sorta flat for me. And Mika makes herself out to be this big bad ass straight outta training and then we never see it from here again with the one fitting room incident as the exception. SPOILER: The whole, “Oh, I’m actually probably an Omega, but I don’t wanna be but I do actually wanna be but no one can ever know my secret that I do nothing to hide “ thing fell so flat. She never commutes to believing she was secretly an omega, but also mentions her “secret” a lot. It just felt so manufactured. I’m intrigued enough to read part 2 and see how the author closes everything out, but this is not one I’ll recommend or ever come back to.
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Reviewed in the United States on February 13, 2024
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Natrona Heights, US
★★★★★ 5
Good start to a series
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I delayed reading the series for reasons I don’t remember. But my TBR list is huge so I thought I’d take a shot of this and I was pleasantly surprised. I didn’t think the blurb about it was anything special. But it was a very good book. It took some interesting twists and turns. I am so glad the second book is already out. Because I would not have waited patiently. Very slow burn but good storyline. 🔥🔥/5
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Jammie Clark
Port Orchard, US
★★★★★ 4
A good read
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Multiple points of view. 3 Alpha men and an Omega male. She is a Beta in training for a new program placing betas in Alpha/Omega packs. Mila is only doing the program for the money to take care of her dad. She wasn't expecting to fall for a pack but when she sees this packs Omega she is done for. There is just something about him. His Alphas are good looking as well. Too bad she is hiding a secret and their government is acting shady. I liked it and can't wait to see where their story goes.
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Bri Hires
New York, US
★★★★★ 3
Slightly repetitive but I did love some things
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I love this type of story. And omegaverse is one of my all time favorite genres. But there are a few things that pulled me out of my enjoyment while I was reading. It was repetitive at times as well as struggled with telling not showing. So we didn’t always feel like we were experiencing things with the main character. There were also some plot holes but they may still be answered in part 2. Now this isn’t to be said I didn’t enjoy parts of the story. I loved the almost instant love between Mila and Oliver. And how he started changing around her.
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Reviewed in the United States on February 15, 2024

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