{"title":"McDonald's Store Locations Dataset USA \u0026 Europe","description":"\u003ch1\u003e\u003cspan\u003eMcDonald's Location Datasets – USA \u0026amp; Europe\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eExplore structured McDonald's restaurant location data for the United States and Europe. Download ready-to-use location datasets containing coordinates, addresses and store-level information in CSV and GeoJSON formats.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eWhether you need McDonald's locations for GIS mapping, market research, site selection, competitor analysis, data science or business intelligence, our datasets provide a practical way to work with McDonald's restaurant locations at scale.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eExplore the data, download a \u003ca href=\"https:\/\/www.datalocatr.com\/collections\/free-location-datasets\"\u003efree sample\u003c\/a\u003e, or get the \u003ca href=\"https:\/\/www.datalocatr.com\/collections\/complete-location-datasets-global-brand-store-locations-csv-geojson\"\u003ecomplete dataset\u003c\/a\u003e.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eExplore More McDonald's Location Datasets\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eCurious how many McDonald’s restaurants operate in each country? \u003c\/span\u003e\u003cspan\u003eBrowse our comprehensive McDonald’s location datasets, covering every major region worldwide.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eEurope\u003c\/h3\u003e\n\u003cul role=\"list\"\u003e\n\u003cli\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003eMcDonald's Netherlands\u003c\/span\u003e\u003c\/strong\u003e — with around \u003cstrong\u003e260+\u003c\/strong\u003e locations\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003eMcDonald's Belgium\u003c\/span\u003e\u003c\/strong\u003e — about \u003cstrong\u003e130+\u003c\/strong\u003e locations\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003eMcDonald's United Kingdom\u003c\/span\u003e\u003c\/strong\u003e —\u003cstrong\u003e1,500+\u003c\/strong\u003e locations\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003eMcDonald's Germany\u003c\/span\u003e\u003c\/strong\u003e — roughly \u003cstrong\u003e1,350–1,400\u003c\/strong\u003e locations\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e\u003cspan role=\"button\" tabindex=\"0\"\u003eMcDonald's USA\u003c\/span\u003e with over 13,000+ locations across all states\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e","products":[{"product_id":"mcdonalds-europe-verified-locations-dataset-csv-geojson","title":"McDonald's Europe – Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp data-start=\"1875\" data-end=\"2222\"\u003eThis dataset provides a complete, up-to-date overview of McDonald’s restaurant locations across Europe.\u003cbr data-start=\"1978\" data-end=\"1981\"\u003eAll records are sourced, structured, and verified using OpenStreetMap through Overpass API queries.\u003cbr data-start=\"2080\" data-end=\"2083\"\u003eEach location includes accurate latitude\/longitude coordinates, address attributes, brand metadata,\u003cbr data-start=\"2182\" data-end=\"2185\"\u003eand opening hours (when available).\u003c\/p\u003e\n\u003cp data-start=\"2224\" data-end=\"2395\"\u003eAll files have been cleaned, validated, and standardized for immediate use in GIS tools, data analysis,\u003cbr data-start=\"2327\" data-end=\"2330\"\u003ebusiness intelligence dashboards, or location-based applications.\u003c\/p\u003e\n\u003cp data-start=\"2397\" data-end=\"2433\"\u003eWhat you can do with this dataset:\u003c\/p\u003e\n\u003cul data-start=\"2434\" data-end=\"2629\"\u003e\n\u003cli data-start=\"2434\" data-end=\"2463\"\u003e\n\u003cp data-start=\"2436\" data-end=\"2463\"\u003eBuild maps and dashboards\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2464\" data-end=\"2490\"\u003e\n\u003cp data-start=\"2466\" data-end=\"2490\"\u003eRun proximity analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2491\" data-end=\"2531\"\u003e\n\u003cp data-start=\"2493\" data-end=\"2531\"\u003eStudy regional distribution patterns\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2532\" data-end=\"2583\"\u003e\n\u003cp data-start=\"2534\" data-end=\"2583\"\u003eIntegrate locations into apps or internal tools\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2584\" data-end=\"2629\"\u003e\n\u003cp data-start=\"2586\" data-end=\"2629\"\u003eCombine with demographic or mobility data\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2631\" data-end=\"2722\"\u003eThe dataset is updated regularly, and each download includes a changelog and metadata file.\u003c\/p\u003e\n\u003cp data-start=\"2631\" data-end=\"2722\"\u003eThis product includes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-start=\"3245\" data-end=\"3248\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"Netherlands \/ CSV","offer_id":56553817342283,"sku":"UFMC84920141","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56553845981515,"sku":"UFMC84920142","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":56553817375051,"sku":"UFMC84920143","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":56553846014283,"sku":"UFMC84920144","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56553817407819,"sku":"UFMC84920145","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56553846047051,"sku":"UFMC84920146","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ CSV","offer_id":57762381332811,"sku":"UFMC84920147","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ GeoJSON","offer_id":57762381365579,"sku":"UFMC84920148","price":15.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Gemini_Generated_Image_v23tc4v23tc4v23t.png?v=1765221648"},{"product_id":"mcdonalds-europe-free-sample-verified-locations-dataset-csv-geojson","title":"McDonald's Europe – Free Sample - Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp data-start=\"247\" data-end=\"460\"\u003eThis free sample provides a small preview of the McDonald’s restaurant locations dataset across Europe.\u003cbr data-start=\"350\" data-end=\"353\"\u003eIt includes a limited number of records to demonstrate the data structure, formatting, and overall quality.\u003c\/p\u003e\n\u003cp data-start=\"462\" data-end=\"707\"\u003eAll records are sourced and structured using OpenStreetMap via Overpass API queries.\u003cbr data-start=\"546\" data-end=\"549\"\u003eEach sample entry contains standardized fields such as latitude\/longitude coordinates, address attributes, brand metadata, and opening hours (when available).\u003c\/p\u003e\n\u003cp data-start=\"709\" data-end=\"897\"\u003eThe file has been cleaned and validated to show exactly how the full dataset is delivered — ready for use in GIS tools, dashboards, data analysis workflows, or location-based applications.\u003c\/p\u003e\n\u003cp data-start=\"899\" data-end=\"925\"\u003eThis sample allows you to:\u003c\/p\u003e\n\u003cul data-start=\"927\" data-end=\"1079\"\u003e\n\u003cli data-start=\"927\" data-end=\"959\"\u003e\n\u003cp data-start=\"929\" data-end=\"959\"\u003eReview the dataset structure\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"960\" data-end=\"998\"\u003e\n\u003cp data-start=\"962\" data-end=\"998\"\u003eTest compatibility with your tools\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"999\" data-end=\"1039\"\u003e\n\u003cp data-start=\"1001\" data-end=\"1039\"\u003eEvaluate data quality and formatting\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1040\" data-end=\"1079\"\u003e\n\u003cp data-start=\"1042\" data-end=\"1079\"\u003eExplore example location attributes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1081\" data-end=\"1220\"\u003eThe full version includes complete coverage of McDonald’s locations across Europe, regular updates, and a detailed changelog with metadata.\u003c\/p\u003e\n\u003cp data-start=\"1222\" data-end=\"1366\"\u003eThis product contains data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-start=\"1334\" data-end=\"1337\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"Netherlands \/ CSV","offer_id":56688136225099,"sku":"FUFMC84920141","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56688136257867,"sku":"FUFMC84920142","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":56688136290635,"sku":"FUFMC84920143","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":56688136323403,"sku":"FUFMC84920144","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56688136356171,"sku":"FUFMC84920145","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56688136388939,"sku":"FUFMC84920146","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ CSV","offer_id":57762371502411,"sku":"FUFMC84920147","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ GeoJSON","offer_id":57762371535179,"sku":"FUFMC84920148","price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Gemini_Generated_Image_v23tc4v23tc4v23t.png?v=1765221648"},{"product_id":"mcdonalds-usa-locations-dataset-verified-store-locations-csv-geojson","title":"McDonald's USA Locations Dataset – Verified Store Locations (CSV, GeoJSON)","description":"\u003ch1\u003eMcDonald's USA Store Locations Data\u003c\/h1\u003e\n\u003cp\u003eGet a complete \u003cstrong\u003eMcDonald's USA location dataset\u003c\/strong\u003e containing \u003cstrong\u003e13,735 McDonald's restaurant locations as of September 1, 2026\u003c\/strong\u003e. This structured \u003cstrong\u003eMcDonald's store locations database\u003c\/strong\u003e includes restaurant names, addresses, cities, states, ZIP codes, latitude, longitude, store identifiers and available location attributes. Use the data to analyze \u003cstrong\u003eMcDonald's locations by state\u003c\/strong\u003e, city or geographic area across the United States.\u003c\/p\u003e\n\u003cp\u003eThe dataset is available in \u003cstrong\u003eCSV and GeoJSON formats\u003c\/strong\u003e, making it ready for GIS, mapping, data science, market research, competitor analysis and location intelligence. Import the McDonald's location data into \u003cstrong\u003eQGIS, ArcGIS, Python, Excel, Google Sheets, databases or custom mapping applications\u003c\/strong\u003e and combine it with your own geographic, demographic or business data.\u003c\/p\u003e\n\u003ch3\u003eMcDonald's Locations by State\u003c\/h3\u003e\n\u003cp\u003eThe current dataset contains \u003cstrong\u003e13,735 locations across the USA\u003c\/strong\u003e, with the highest numbers found in states such as Texas, California and Florida.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eState\u003c\/th\u003e\n\u003cth align=\"right\"\u003eLocations\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTexas\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e1,265\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCalifornia\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e1,233\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFlorida\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e901\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIllinois\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e641\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOhio\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e617\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNew York\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e574\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMichigan\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e522\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNorth Carolina\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e481\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePennsylvania\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e475\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGeorgia\u003c\/td\u003e\n\u003ctd align=\"right\"\u003e451\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eUse McDonald's Location Data With AI\u003c\/h3\u003e\n\u003cp\u003eThe structured dataset can also be used for \u003cstrong\u003eAI-powered data analysis\u003c\/strong\u003e. Upload the CSV or GeoJSON file to an AI tool such as ChatGPT or another data-analysis platform and ask questions about McDonald's locations, geographic distribution and restaurant density. For example: \u003cem\u003eWhich states have the most McDonald's locations?\u003c\/em\u003e, \u003cem\u003eHow many locations are within 10 miles of a city?\u003c\/em\u003e, or \u003cem\u003eWhich areas have a high concentration of restaurants?\u003c\/em\u003e This makes the dataset useful for \u003cstrong\u003eAI-assisted geographic research, market analysis and location intelligence\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.datalocatr.com\/products\/mcdonalds-usa-free-dataset-sample-verified-store-locations-csv-geojson\"\u003e\u003cstrong\u003eFree sample available\u003c\/strong\u003e\u003c\/a\u003e — inspect the actual McDonald's location data before purchasing the complete dataset.\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"United States \/ CSV","offer_id":57167726608715,"sku":"UFMC84920147","price":29.99,"currency_code":"EUR","in_stock":true},{"title":"United States \/ GeoJSON","offer_id":57167726641483,"sku":"UFMC84920148","price":29.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Gemini_Generated_Image_v23tc4v23tc4v23t.png?v=1765221648"},{"product_id":"mcdonalds-usa-free-dataset-sample-verified-store-locations-csv-geojson","title":"McDonald's USA – Free Dataset Sample - Verified Store Locations (CSV, GeoJSON)","description":"\u003ch1 data-end=\"375\" data-start=\"315\"\u003eFree McDonald's USA Locations Dataset Sample (CSV \u0026amp; GeoJSON)\u003c\/h1\u003e\n\u003cp data-end=\"936\" data-start=\"783\"\u003eDownload a \u003cstrong data-end=\"849\" data-start=\"794\"\u003efree sample of the McDonald’s USA locations dataset\u003c\/strong\u003e to preview the structure, data quality, and format before purchasing the full version.\u003c\/p\u003e\n\u003cp data-end=\"1095\" data-start=\"941\"\u003eThis sample includes a subset of real McDonald’s restaurant locations across the United States, sourced and verified using OpenStreetMap via Overpass API.\u003c\/p\u003e\n\u003cp data-end=\"1162\" data-start=\"1100\"\u003eEach entry demonstrates the full dataset structure, including:\u003c\/p\u003e\n\u003cul data-end=\"1303\" data-start=\"1167\"\u003e\n\u003cli data-end=\"1205\" data-start=\"1167\" data-section-id=\"1bmg9fl\"\u003eLatitude and longitude coordinates\u003c\/li\u003e\n\u003cli data-end=\"1231\" data-start=\"1208\" data-section-id=\"19381gy\"\u003eAddress information\u003c\/li\u003e\n\u003cli data-end=\"1255\" data-start=\"1234\" data-section-id=\"huevug\"\u003eLocation metadata\u003c\/li\u003e\n\u003cli data-end=\"1301\" data-start=\"1258\" data-section-id=\"u473c2\"\u003eStandardized formatting (CSV \u0026amp; GeoJSON)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"1355\" data-start=\"1314\" data-section-id=\"10yescg\"\u003eWhat you can test with this sample\u003c\/h3\u003e\n\u003cul data-end=\"1531\" data-start=\"1360\"\u003e\n\u003cli data-end=\"1403\" data-start=\"1360\" data-section-id=\"1yo56h\"\u003eData structure and schema compatibility\u003c\/li\u003e\n\u003cli data-end=\"1441\" data-start=\"1406\" data-section-id=\"ybv0le\"\u003eGIS or mapping tool integration\u003c\/li\u003e\n\u003cli data-end=\"1485\" data-start=\"1444\" data-section-id=\"135vxsf\"\u003eImport into spreadsheets or databases\u003c\/li\u003e\n\u003cli data-end=\"1529\" data-start=\"1488\" data-section-id=\"1juujov\"\u003ePreview geospatial analysis workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"1569\" data-start=\"1542\" data-section-id=\"x03k0a\"\u003eFull Dataset Upgrade\u003c\/h3\u003e\n\u003cp data-end=\"1737\" data-start=\"1574\"\u003eThis is a \u003cstrong data-end=\"1610\" data-start=\"1584\"\u003elimited sample version\u003c\/strong\u003e. The \u003ca href=\"https:\/\/www.datalocatr.com\/products\/mcdonalds-usa-locations-dataset-verified-store-locations-csv-geojson\"\u003efull dataset\u003c\/a\u003e includes all McDonald’s locations across the United States, with expanded coverage and complete data fields.\u003c\/p\u003e\n\u003ch3 data-end=\"1764\" data-start=\"1750\" data-section-id=\"m2nk5g\"\u003eLicense\u003c\/h3\u003e\n\u003cp data-end=\"1902\" data-start=\"1769\"\u003eIncludes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-end=\"1871\" data-start=\"1868\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e\n\u003cp data-end=\"2013\" data-start=\"1915\"\u003e\u003cem data-end=\"2013\" data-start=\"1918\"\u003eUse this free sample to validate the dataset before upgrading to the full commercial version.\u003c\/em\u003e\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"United States \/ CSV","offer_id":57191768031563,"sku":"UFMC84920147FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United States \/ GeoJSON","offer_id":57191768064331,"sku":"UFMC84920148FREE","price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Gemini_Generated_Image_v23tc4v23tc4v23t.png?v=1765221648"}],"url":"https:\/\/www.datalocatr.com\/collections\/mcdonalds-store-locations-dataset-usa-europe.oembed","provider":"DataLocatr","version":"1.0","type":"link"}