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GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [continent] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [postal] => Array ( [code] => 43215 ) [registered_country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [subdivisions] => Array ( [0] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) ) [traits] => Array ( [ip_address] => 216.73.216.152 [prefix_len] => 22 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [country:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [0] => en ) [maxmind:protected] => GeoIp2\Record\MaxMind Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [validAttributes:protected] => Array ( [0] => queriesRemaining ) ) [registeredCountry:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 216.73.216.152 [prefix_len] => 22 [network] => 216.73.216.0/22 ) [validAttributes:protected] => Array ( [0] => autonomousSystemNumber [1] => autonomousSystemOrganization [2] => connectionType [3] => domain [4] => ipAddress [5] => isAnonymous [6] => isAnonymousProxy [7] => isAnonymousVpn [8] => isHostingProvider [9] => isLegitimateProxy [10] => isp [11] => isPublicProxy [12] => isResidentialProxy [13] => isSatelliteProvider [14] => isTorExitNode [15] => mobileCountryCode [16] => mobileNetworkCode [17] => network [18] => organization [19] => staticIpScore [20] => userCount [21] => userType ) ) [city:protected] => GeoIp2\Record\City Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => names ) ) [location:protected] => GeoIp2\Record\Location Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [validAttributes:protected] => Array ( [0] => averageIncome [1] => accuracyRadius [2] => latitude [3] => longitude [4] => metroCode [5] => populationDensity [6] => postalCode [7] => postalConfidence [8] => timeZone ) ) [postal:protected] => GeoIp2\Record\Postal Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => 43215 ) [validAttributes:protected] => Array ( [0] => code [1] => confidence ) ) [subdivisions:protected] => Array ( [0] => GeoIp2\Record\Subdivision Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
country : United States
city : Columbus
US
Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )
Explore the latest McDonald’s Locations Data 2025 across the USA. Get insights on the growth, distribution, and store counts to stay ahead in the fast-food industry!
Note: You’ll receive it via email shortly after submitting the form.
As of January 15, 2025, there are a total of 13,589 McDonald's restaurants across the United States. California leads with the highest number of locations, boasting 1,218 McDonald's, representing approximately 8.90% of the national total. This data reflects the McDonald’s store count USA 2025 and the Total McDonald’s restaurants in America 2025. For those interested in further insights, our McDonald’s locations Data 2025 is available for download.
13,589
52
5,056
3.45
You can easily download the full list of 13,589 McDonald's locations in the United States, including geo-coded addresses, phone numbers, and operating hours, in an Excel file from our data store.
1,250 (10%)
With approximately 10% of all McDonald's locations, California has one restaurant for every 30,500 residents.
1,150 (8.5%)
Texas accounts for around 8.5% of McDonald's locations, with one restaurant for every 25,300 people.
900 (7%)
Florida holds about 7% of the total McDonald's restaurants, averaging one location for every 23,800 residents.
McDonald's restaurants are present in 55 states and territories across the United States.
There are 4 states and territories in total without McDonald's stores in the United States.
For a comprehensive report comparing McDonald's with other companies, please reach out to us!
Based on reviews and ratings from over 15.85M customers across all McDonald's locations, the findings are:
3.52 – Average rating from 15.85M reviews
57.12% – High customer satisfaction rating
24.89% – Poor customer feedback
The McDonald's POI locations dataset does not include customer reviews. If you're interested in accessing the review dataset or have any inquiries, please reach out to us!
You can download the full list of McDonald's locations used for this analysis from our data store. This includes comprehensive McDonald’s USA store directory with location details, such as address, city, state, and more. To get a better understanding of the data, here is a random sample of 10 records to show you the fields we provide. Whether you need McDonald Data Scraping , McDonald Datasets, or want to Scrape McDonald Data for further analysis, we have all the necessary data ready for extraction. Our services also offer McDonald Data Extractions tailored to your specific needs.
You can download the data in Excel or CSV format. For other formats such as JSON, GeoJSON, Esri Shapefile, KML (Google Earth), or any custom format, please reach out to us. Additional fees may apply for these alternative formats.
Actowiz Solutions specializes in providing accurate and up-to-date data through McDonald’s store count USA 2025 and helps businesses access critical insights such as the Total McDonald’s restaurants in America 2025. By leveraging advanced web scraping techniques, Actowiz Solutions can effectively gather detailed McDonald’s locations Data 2025 across all states and territories.
Our expertise in web scraping allows us to pull data from diverse sources, ensuring a comprehensive McDonald’s USA store directory that includes store names, addresses, contact details, and GPS coordinates. With McDonald Data Scraping, we can gather massive datasets in real-time, enabling businesses to track new store openings or closures.
Actowiz Solutions excels at delivering customized McDonald Datasets, whether you need data for research, analytics, or competitive insights. Our McDonald Data Extractions process ensures high-quality, clean data that supports your objectives. We also provide businesses with the option to Scrape McDonald Data in bulk for long-term projects or targeted analysis.
Our solutions also extend to Price Comparison, Pricing Strategy , and pricing intelligence, allowing you to assess McDonald’s pricing trends and develop data-driven strategies. With Actowiz Solutions, you get reliable, accurate, and actionable data for your business decisions.
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Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
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Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
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