World Stadiums Database 2023 Update

Comprehensive and updated dataset of stadiums: explore locations, unique attributes, and popularity insights
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Fresh data 3,000+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Babe Zaharias Memorial Stadium Babe Zaharias Memorial Stadium,Babe Zaharias Park Stadium,Sa... US Texas Jefferson County stadiums 30.100490 -94.116570 0 9 America/Chicago
Balboa Stadium Balboa Stadium,City Stadium US California San Diego County stadiums 32.720610 -117.151700 0 52 America/Los_Angeles
Bank of America Stadium Bank of America Stadium,Bank of Amerika marzadast,Benk of Am... US North Carolina Mecklenburg County stadiums 35.224860 -80.853130 0 218 America/New_York
Banta Bowl Ron Roberts Field,Ron Roberts Field at the Banta Bowl US Wisconsin Outagamie County stadiums 44.257780 -88.385130 0 0 America/Chicago
Bear Stadium Bear Stadium,Brewer Bear Stadium US Texas Tarrant County stadiums 32.748740 -97.455300 0 226 America/Chicago
Bears And Eagles Riverfront Stadium Bears And Eagles Riverfront Stadium,Riverfront Stadium US New Jersey Essex County stadiums 40.745380 -74.168200 0 10 America/New_York
Beaver Stadium ビーバー・スタジアム US Pennsylvania Centre County stadiums 40.812280 -77.856110 0 354 America/New_York
Billy Goodloe Stadium Billy Goodloe Stadium,Billy Goodlow Stadium US Texas Ellis County stadiums 32.498750 -96.801940 0 170 America/Chicago
Bob Shelton Stadium Bob Shelton Stadium,Rebel Stadium US Texas Hays County stadiums 30.025490 -97.892230 0 246 America/Chicago
Bobcat Stadium Bobcat Stadium,San Angelo Stadium US Texas Tom Green County stadiums 31.430440 -100.460370 0 571 America/Chicago
Available data formats

What's included in the world Stadiums database

We collect and enrich data on the world stadiums and provide you with various metrics you can use for you project
Exact location
Region, city, zip code, latitude, longitude etc
Unique attributes
Elevation, unique features, alternative names etc
Popularity
Population, refresh date, related locations, etc
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The world stadiums data sources

We curate information from numerous open-source data streams, ensuring comprehensive coverage of the worldstadiums. Our team meticulously cleans and refines this data, offering you a streamlined and user-friendly dataset, primed for efficient and accurate use.

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the world Stadiums DB - Frequently asked questions

More information about the world stadiums dataset and how it works
What does this dataset include?
This dataset provides comprehensive information on stadiumsaround the world, detailing their locations, elevation and other unique attributes.
How frequently is the stadiums data updated?
We update our stadiums dataset annually to ensure current and accurate information.
In which formats is the stadiums data available?
The stadiums dataset is available in 20 different formats including: CSV, Excel, and GeoJSON for easy integration
Can I use the world stadiums data for commercial purposes?
Yes, the stadiums dataset is licensed for both personal and commercial use.
How is the world stadiums data sourced?
We compile stadiums data from verified global sources, ensuring reliability and breadth of coverage.
Do you provide any historical data on stadiums?
Currently, our focus is on present-day information, but we are exploring the inclusion of historical stadiums data in future updates.
How can I integrate the stadiums data into my GIS system?
The GeoJSON stadiums dataset format we provide is compatible with most GIS systems, allowing for straightforward integration.
Is there any support if I face issues with the the world stadiums dataset?
Absolutely! Our team is here to assist with any challenges or questions you may have about the stadiums dataset.
Are there any sample the world stadiums data points I can review before purchase?
Yes, please see the sample the world stadiums dataset file at the top of this page. Click here.
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About us

We collect data from multiple sources to streamline business decision-making. Our mission is to simplify complex geographical datasets, empowering users to make informed decisions with precision and confidence.