{"product_id":"romania-petrom-ev","title":"Petrom EV Charging Station Locations Dataset – Romania","description":"\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\/\",\n  \"@type\": \"Dataset\",\n  \"name\": \"Petrom EV Charging Station Locations Dataset – Romania\",\n  \"description\": \"Download a geocoded dataset containing 78 Petrom ev charging station locations across Romania. Includes addresses, administrative areas, and WGS84 latitude\/longitude coordinates in CSV format for GIS, market research, logistics, site selection, and location intelligence applications. Updated: 2 June 2026.\",\n  \"url\": \"https:\/\/geolocet.com\/products\/romania-petrom-ev\",\n  \"isAccessibleForFree\": false,\n  \"creator\": {\n    \"@type\": \"Organization\",\n    \"sameAs\": \"https:\/\/geolocet.com\",\n    \"name\": \"Geolocet\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Geolocet\",\n    \"sameAs\": \"https:\/\/geolocet.com\",\n    \"url\": \"https:\/\/geolocet.com\"\n  },\n  \"dateModified\": \"2026-06-02\",\n  \"lastVerified\": \"2026-06-02\",\n  \"spatialCoverage\": {\n    \"@type\": \"Place\",\n    \"name\": \"Romania\"\n  },\n  \"size\": \"78 locations\",\n  \"measurementTechnique\": \"Web scraping, geocoding, validation, and standardization\",\n  \"license\": \"https:\/\/geolocet.com\/pages\/terms-of-use\",\n  \"distribution\": {\n    \"@type\": \"DataDownload\",\n    \"encodingFormat\": \"text\/csv\"\n  },\n  \"hasPart\": {\n    \"@type\": \"Dataset\",\n    \"name\": \"Free Sample: Petrom EV Charging Stations Locations Dataset – Romania\",\n    \"description\": \"A subset of the full dataset demonstrating data structure, geospatial precision, and column headers.\",\n    \"isAccessibleForFree\": true,\n    \"distribution\": {\n      \"@type\": \"DataDownload\",\n      \"encodingFormat\": \"text\/csv\",\n      \"contentUrl\": \"https:\/\/geolocet.com\/products\/romania-petrom-ev\"\n    }\n  },\n  \"variableMeasured\": [\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"GUID\",\n      \"description\": \"Unique global identifier for the location record.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Title\",\n      \"description\": \"The official name, brand, or title of the store\/location.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Latitude\",\n      \"description\": \"Precise WGS84 latitude coordinate.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Longitude\",\n      \"description\": \"Precise WGS84 longitude coordinate.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Street No\",\n      \"description\": \"The specific building or street number.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Street\",\n      \"description\": \"The street name where the location is situated, excluding the building number.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"City\",\n      \"description\": \"City, municipality, or primary settlement area.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Admin_level_1\",\n      \"description\": \"Specific data attribute detailing the admin_level_1 of the location.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Admin_level_2\",\n      \"description\": \"Specific data attribute detailing the admin_level_2 of the location.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Municipality\",\n      \"description\": \"Municipality.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"County\",\n      \"description\": \"Specific data attribute detailing the county of the location.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Population\",\n      \"description\": \"Specific data attribute detailing the population of the location.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Postal Code\",\n      \"description\": \"Zip code or postal routing code for the region.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Address\",\n      \"description\": \"Full, standardized street address of the location.\"\n    }\n  ],\n  \"offers\": {\n    \"@type\": \"Offer\",\n    \"price\": \"24.00\",\n    \"priceCurrency\": \"EUR\",\n    \"seller\": {\n      \"@type\": \"Organization\",\n      \"sameAs\": \"https:\/\/geolocet.com\",\n      \"name\": \"Geolocet\"\n    },\n    \"description\": \"Full dataset. Digital product for instant download. No shipping required.\"\n  },\n  \"keywords\": [\n    \"Petrom\",\n    \"Romania\",\n    \"EV Charging Stations\",\n    \"geospatial data\",\n    \"location data\",\n    \"spatial retail analytics\",\n    \"retail site selection\",\n    \"forecourt geospatial dataset\",\n    \"GIS-ready retail location data\",\n    \"geocoded retail locations\"\n  ],\n  \"alternateName\": [\n    \"Petrom EV Charging Station Romania address list\",\n    \"Petrom Romania geospatial dataset\",\n    \"Geocoded Petrom locations - Romania CSV\",\n    \"Petrom EV Charging Station locations Romania\"\n  ],\n  \"temporalCoverage\": \"2026-06-02\",\n  \"mentions\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Petrom\",\n    \"url\": \"https:\/\/www.omvpetrom.com\",\n    \"alternateName\": \"OMV Petrom S.A.\"\n  }\n}\n\u003c\/script\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BreadcrumbList\",\n  \"itemListElement\": [\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 1,\n      \"name\": \"Home\",\n      \"item\": \"https:\/\/geolocet.com\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 2,\n      \"name\": \"Brands Locations\",\n      \"item\": \"https:\/\/geolocet.com\/collections\/brands-locations\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 3,\n      \"name\": \"Romania\",\n      \"item\": \"https:\/\/geolocet.com\/pages\/romania\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 4,\n      \"name\": \"Petrom EV Charging Stations Dataset\",\n      \"item\": \"https:\/\/geolocet.com\/products\/romania-petrom-ev\"\n    }\n  ]\n}\n\u003c\/script\u003e\n\u003cnav aria-label=\"Page sections\" style=\"background:#f8f9fa; border:1px solid #ddd; border-radius:4px; padding:10px 14px; margin-bottom:18px;\"\u003e\u003cstrong style=\"font-size:0.85em; margin-right:10px;\"\u003eQuick links:\u003c\/strong\u003e\u003cul style=\"display:inline; list-style:none; margin:0; padding:0;\"\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#dataset-summary\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eDataset Summary\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#methodology\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eMethodology\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#download\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eDownload\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#regional-distribution\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eRegional Distribution\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#brand-bundle\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eBrand Bundle\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#related-datasets\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eRelated Datasets\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#use-cases\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eUse Cases\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#faq\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eFAQ\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#ai-prompts\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eAnalyze with AI\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/nav\u003e\u003cp\u003e Petrom is Romania's most recognised fuel retail brand, operated by OMV Petrom, the largest integrated energy company in the country. As part of its transition toward a lower-carbon future, OMV Petrom has been expanding EV charging infrastructure at Petrom-branded filling stations across Romania and the wider South-East European region, offering charging alongside conventional fuel services.\u003c\/p\u003e\u003cp\u003eThere are \u003cstrong\u003e78 Petrom EV Charging Stations\u003c\/strong\u003e as of \u003cstrong\u003e2 June 2026\u003c\/strong\u003e in Romania. This dataset is compiled and maintained by \u003ca href=\"https:\/\/geolocet.com\" rel=\"noopener noreferrer\"\u003eGeolocet\u003c\/a\u003e and provides a complete, geocoded list of all Petrom locations, including full address details, administrative divisions, and precise WGS84 latitude\/longitude coordinates - structured for GIS, retail analytics, mapping, and AI\/RAG workflows.\u003c\/p\u003e\n        \u003cdiv class=\"dataset-summary\"\u003e\n            \u003ch2 id=\"dataset-summary\"\u003eDataset Summary\u003c\/h2\u003e\n            \u003cul\u003e\n            \u003cli\u003e\n\u003cstrong\u003eDataset Coverage:\u003c\/strong\u003e 78 Petrom ev charging stations in Romania\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eContents:\u003c\/strong\u003e Coordinates, addresses, postal codes, and administrative divisions\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eFile Format:\u003c\/strong\u003e Fully geocoded CSV dataset (UTF-8)\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eFree Sample:\u003c\/strong\u003e Instantly accessible dataset to verify structure and data quality\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eUse Cases:\u003c\/strong\u003e Suitable for GIS, retail analytics, site selection, and AI\/RAG workflows\u003c\/li\u003e\n            \u003cli\u003e\n\u003cstrong\u003eLast Updated:\u003c\/strong\u003e 2 June 2026\u003c\/li\u003e\n        \u003c\/ul\u003e\n    \u003c\/div\u003e\n    \u003ch2 id=\"methodology\"\u003eDataset Methodology:\u003c\/h2\u003e\u003cp\u003e 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.\u003c\/p\u003e\u003cp\u003eIt is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.\u003c\/p\u003e\u003cdiv style=\"overflow: auto;\"\u003e\n\u003cdiv style=\"float: right; margin: 0 0 15px 20px; width: 45%; max-width: 560px;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0727\/3853\/7806\/files\/Romania_Petrom_EV_Charging_Stations_Locations_Map.png\" alt=\"Map showing the geographical distribution of Petrom locations in Romania\" style=\"width: 100%; height: 100%; object-fit: contain;\"\u003e\u003c\/div\u003e\n\u003ch3\u003eDataset fields included in the CSV:\u003c\/h3\u003e\n\u003cul style=\"columns: 150px 2; margin-left: 20px;\"\u003e\n\u003cli\u003eGUID\u003c\/li\u003e\n\u003cli\u003eTitle\u003c\/li\u003e\n\u003cli\u003eLatitude\u003c\/li\u003e\n\u003cli\u003eLongitude\u003c\/li\u003e\n\u003cli\u003eStreet No\u003c\/li\u003e\n\u003cli\u003eStreet\u003c\/li\u003e\n\u003cli\u003eCity\u003c\/li\u003e\n\u003cli\u003eAdmin_level_1\u003c\/li\u003e\n\u003cli\u003eAdmin_level_2\u003c\/li\u003e\n\u003cli\u003eMunicipality\u003c\/li\u003e\n\u003cli\u003eCounty\u003c\/li\u003e\n\u003cli\u003ePopulation\u003c\/li\u003e\n\u003cli\u003ePostal Code\u003c\/li\u003e\n\u003cli\u003eAddress\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"margin-top: 15px;\"\u003e\u003cem\u003eRequire additional attributes such as charging points, charger types, or charging speed? \u003ca href=\"\/pages\/contact-us\"\u003eContact us\u003c\/a\u003e to request a custom data enrichment.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003ch2\u003eData Preview: Sample geospatial records from the Petrom dataset in Romania\u003c\/h2\u003e\n\u003ctable class=\"data-preview-table\" aria-describedby=\"table-note\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth scope=\"col\"\u003eID\u003c\/th\u003e\n\u003cth scope=\"col\"\u003eLocation Title\u003c\/th\u003e\n\u003cth scope=\"col\"\u003eLatitude\u003c\/th\u003e\n\u003cth scope=\"col\"\u003eLongitude\u003c\/th\u003e\n\u003cth scope=\"col\"\u003ePostal Code\u003c\/th\u003e\n\u003cth scope=\"col\"\u003eFull Address\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ef6ad6bc...\u003c\/td\u003e\n\u003ctd\u003ePetrom Electric Charging Station\u003c\/td\u003e\n\u003ctd\u003e47.036329\u003c\/td\u003e\n\u003ctd\u003e21.945634\u003c\/td\u003e\n\u003ctd\u003e410583\u003c\/td\u003e\n\u003ctd\u003e28A Strada Nufărului, Oradea, 410583,...\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e68dc64c...\u003c\/td\u003e\n\u003ctd\u003ePetrom Charging Station\u003c\/td\u003e\n\u003ctd\u003e45.843351\u003c\/td\u003e\n\u003ctd\u003e26.157853\u003c\/td\u003e\n\u003ctd\u003e525200\u003c\/td\u003e\n\u003ctd\u003e1E Strada Ștefan cel Mare, Covasna, 5...\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e81e51be...\u003c\/td\u003e\n\u003ctd\u003ePetrom Charging Station\u003c\/td\u003e\n\u003ctd\u003e46.925791\u003c\/td\u003e\n\u003ctd\u003e26.908671\u003c\/td\u003e\n\u003ctd\u003e611052\u003c\/td\u003e\n\u003ctd\u003eȘoseaua de Centură, Roman, 611052, Mu...\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5f29850...\u003c\/td\u003e\n\u003ctd\u003ePetrom Charging Station\u003c\/td\u003e\n\u003ctd\u003e45.615797\u003c\/td\u003e\n\u003ctd\u003e22.956424\u003c\/td\u003e\n\u003ctd\u003e335500\u003c\/td\u003e\n\u003ctd\u003e1 Strada Viilor, Hațeg, 335500, Oraș ...\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e62a8642...\u003c\/td\u003e\n\u003ctd\u003ePetrom Charging Station\u003c\/td\u003e\n\u003ctd\u003e45.399135\u003c\/td\u003e\n\u003ctd\u003e27.046663\u003c\/td\u003e\n\u003ctd\u003e125300\u003c\/td\u003e\n\u003ctd\u003eStrada Focșani, Râmnicu Sărat, 125300...\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp id=\"table-note\" class=\"data-preview-note\" style=\"font-style: italic; font-size: 0.9em;\"\u003eNote: Only a subset of the full dataset fields are displayed here. Download the \u003cstrong\u003efree sample\u003c\/strong\u003e (option above) to view all fields and verify the data structure.\u003c\/p\u003e\u003cdiv style=\"background:#f8fff8; border:1px solid #c3e6cb; border-radius:6px; padding:16px 20px; margin:24px 0;\"\u003e\n\u003cp style=\"margin:0 0 10px 0; font-weight:bold; font-size:1em;\"\u003eWhy download from Geolocet?\u003c\/p\u003e\n\u003cul style=\"margin:0; padding-left:18px; font-size:0.95em; line-height:1.8;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eInstant download\u003c\/strong\u003e - full dataset available immediately after purchase, no waiting, no manual fulfilment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFree sample first\u003c\/strong\u003e - verify structure, fields, and coordinate precision before you commit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnalysis-ready CSV\u003c\/strong\u003e - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRegularly updated\u003c\/strong\u003e - last updated \u003cstrong\u003e2 June 2026\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cp style=\"text-align:center; margin:16px 0; font-size:0.95em;\"\u003e✅ Data looks right? \u003ca href=\"#\" onclick=\"window.scrollTo({top:0,behavior:'smooth'});return false;\" style=\"color:#2c6fad; font-weight:bold;\"\u003eAdd to cart ↑\u003c\/a\u003e - or download the \u003cstrong\u003efree sample\u003c\/strong\u003e first.\u003c\/p\u003e\u003ch2 id=\"regional-distribution\"\u003eRegional Distribution Breakdown\u003c\/h2\u003e\u003cp\u003eLooking at the geographic distribution, the highest concentration of Petrom locations in Romania is found in \u003cstrong\u003eTimiș\u003c\/strong\u003e (7 sites, equivalent to \u003cstrong\u003e1.05 Petrom ev charging stations per 100,000 residents\u003c\/strong\u003e). This is followed by \u003cstrong\u003eBihor\u003c\/strong\u003e (4 sites; 0.72 per 100,000) and \u003cstrong\u003eBucurești\u003c\/strong\u003e (4 sites; 0.23 per 100,000). From a market-penetration perspective, \u003cstrong\u003eCovasna\u003c\/strong\u003e has the highest brand density at \u003cstrong\u003e1.54 locations per 100,000 people\u003c\/strong\u003e (population: 195,000), making it the most saturated region for Petrom in Romania. By contrast, \u003cstrong\u003eCluj\u003c\/strong\u003e records only 0.14 locations per 100,000 residents (population: 695,000), indicating a potential white-space opportunity for network expansion or competitor analysis.\u003c\/p\u003e\u003ch2 id=\"brand-bundle\" style=\"margin-bottom:12px;\"\u003eAlso available for Romania\u003c\/h2\u003e\u003cdiv style=\"border:1px solid #2c6fad; border-left:4px solid #2c6fad; border-radius:0 6px 6px 0; padding:16px 20px; margin-bottom:12px; background:#f5f9ff;\"\u003e\n\u003cp style=\"margin:0 0 4px 0; font-size:0.8em; text-transform:uppercase; letter-spacing:0.05em; color:#2c6fad; font-weight:bold;\"\u003eBrand bundle\u003c\/p\u003e\n\u003cp style=\"margin:0 0 8px 0; font-weight:bold; font-size:1.05em;\"\u003eTop 15 EV Charging Stations Brands in Romania - €240\u003c\/p\u003e\n\u003cp style=\"margin:0 0 12px 0; font-size:0.9em; color:#444;\"\u003eAll major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.\u003c\/p\u003e\n\u003ca href=\"https:\/\/geolocet.com\/products\/romania-ev-brands\" style=\"display:inline-block; background:#2c6fad; color:#fff; padding:7px 14px; border-radius:4px; text-decoration:none; font-size:0.88em; font-weight:bold;\"\u003eView Top Brands dataset →\u003c\/a\u003e\n\u003c\/div\u003e\u003cdiv style=\"border:1px solid #6c757d; border-left:4px solid #6c757d; border-radius:0 6px 6px 0; padding:16px 20px; margin-bottom:12px; background:#f9f9f9;\"\u003e\n\u003cp style=\"margin:0 0 4px 0; font-size:0.8em; text-transform:uppercase; letter-spacing:0.05em; color:#6c757d; font-weight:bold;\"\u003eFull market coverage\u003c\/p\u003e\n\u003cp style=\"margin:0 0 8px 0; font-weight:bold; font-size:1.05em;\"\u003eAll EV Charging Stations Locations in Romania - complete POI dataset\u003c\/p\u003e\n\u003cp style=\"margin:0 0 12px 0; font-size:0.9em; color:#444;\"\u003eIncludes everything in the brand bundle \u003cem\u003eplus\u003c\/em\u003e independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.\u003c\/p\u003e\n\u003ca href=\"https:\/\/geolocet.com\/products\/romania-ev-charging-stations-poi-data\" style=\"display:inline-block; background:#6c757d; color:#fff; padding:7px 14px; border-radius:4px; text-decoration:none; font-size:0.88em; font-weight:bold;\"\u003eView full POI dataset →\u003c\/a\u003e\n\u003c\/div\u003e\u003ch2 id=\"related-datasets\"\u003eRelated geospatial datasets\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/geolocet.com\/products\/romania-all-available-administrative-boundaries\" rel=\"noopener noreferrer\"\u003eAdministrative boundaries and full polygon dataset for Romania\u003c\/a\u003e: Map these Petrom locations against highly precise administrative polygons for territory analysis and spatial structuring.\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/geolocet.com\/products\/romania-geodemographics-dataset-with-boundaries\" rel=\"noopener noreferrer\"\u003eDemographics dataset for Romania\u003c\/a\u003e: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Petrom locations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"formats\"\u003eNeed the data in another format?\u003c\/h2\u003e\u003cp\u003eWe can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at \u003ca href=\"mailto:contact@geolocet.com\"\u003econtact@geolocet.com\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"use-cases\"\u003eWho uses this data?\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eFranchise Expansion:\u003c\/strong\u003e Network development teams assessing market saturation and mapping open territories for new franchisees.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommercial Brokerage:\u003c\/strong\u003e Real estate brokers validating commercial property valuations based on proximity to major retail anchors.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTrade Area Marketing:\u003c\/strong\u003e Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupply Chain Strategy:\u003c\/strong\u003e Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMobility Analysis:\u003c\/strong\u003e Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eB2B Telemarketing \u0026amp; Outreach:\u003c\/strong\u003e Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCRM Data Enrichment:\u003c\/strong\u003e RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce\/HubSpot records.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEconomic Development:\u003c\/strong\u003e Agencies identifying underserved neighborhoods or \"retail deserts\" for targeted commercial investment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"faq\" style=\"margin-top: 30px;\"\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cdiv class=\"faq-section\"\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Does the dataset include opening hours?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Yes, opening hours are included where publicly available and validated during the data standardization process.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Does the dataset contain duplicate locations?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Can I combine this dataset with administrative boundaries?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: How recent is this dataset?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: This dataset was last updated on 2 June 2026 and is periodically refreshed through automated collection and validation workflows.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: How are addresses standardized?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Can this dataset support expansion planning?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n\u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Can this dataset be used for academic or research purposes?\u003c\/p\u003e\n\u003cp style=\"margin:0; color:#444;\"\u003eA: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does the dataset include opening hours?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, opening hours are included where publicly available and validated during the data standardization process.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does the dataset contain duplicate locations?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I combine this dataset with administrative boundaries?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How recent is this dataset?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This dataset was last updated on 2 June 2026 and is periodically refreshed through automated collection and validation workflows.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How are addresses standardized?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can this dataset support expansion planning?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can this dataset be used for academic or research purposes?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\u003ch2 id=\"ai-prompts\"\u003eAnalyze this data with AI\u003c\/h2\u003e\u003cp\u003eUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:\u003c\/p\u003e\u003cul style=\"margin-left: 20px;\"\u003e\n\u003cli class=\"ai-prompt-item\"\u003e\u003ccode\u003e\"Analyze this Petrom dataset to identify underserved regions in Romania for potential market expansion.\"\u003c\/code\u003e\u003c\/li\u003e\n\u003cli class=\"ai-prompt-item\"\u003e\u003ccode\u003e\"Identify the most central Petrom locations in Romania to serve as hubs for a last-mile delivery network.\"\u003c\/code\u003e\u003c\/li\u003e\n\u003cli class=\"ai-prompt-item\"\u003e\u003ccode\u003e\"Detect clusters where Petrom sites are in close proximity to analyze potential self-cannibalization in Romania.\"\u003c\/code\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"font-size: 0.8em; color: #888; margin-top: 20px; border-top: 1px solid #eee; padding-top: 10px;\"\u003e\u003cem\u003e\u003cstrong\u003eDisclaimer:\u003c\/strong\u003e 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.\u003c\/em\u003e\u003c\/p\u003e","brand":"Romania","offers":[{"title":"Full dataset","offer_id":59938915549518,"sku":"romania-petrom-ev-full","price":20.0,"currency_code":"EUR","in_stock":true},{"title":"Free sample","offer_id":59938915582286,"sku":"romania-petrom-ev-sample","price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0727\/3853\/7806\/files\/Locations_Petrom.png?v=1780310704","url":"https:\/\/geolocet.com\/products\/romania-petrom-ev","provider":"Geolocet","version":"1.0","type":"link"}