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World Tunnels Database 2023 Update

Comprehensive and updated dataset of tunnels: explore locations, unique attributes, and popularity insights
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Fresh data 1,000+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Board Tree Tunnel Board Tree Tunnel,Boardtree Tunnel US West Virginia Marshall County tunnels 39.727030 -80.528970 0 393 America/New_York
Boston and Maine Railroad Tunnel Boston and Main Railroad Tunnel,Boston and Maine Railroad Tu... US Vermont Windham County tunnels 43.133060 -72.443630 0 93 America/New_York
Buck Springs Tunnel Buck Spring Tunnel,Buck Springs Tunnel US North Carolina Transylvania County tunnels 35.417610 -82.747630 0 1517 America/New_York
Butt Valley Tunnel Butt Valley Tunnel,Prattville Tunnel US California Plumas County tunnels 40.200160 -121.176350 0 1430 America/Los_Angeles
Caldecott Tunnel Aldecott Tunnel,Caldecott Tunnel US California Alameda County tunnels 37.857980 -122.213020 0 422 America/Los_Angeles
Cascade Tunnel Cascade Tunnel,Great Northern Cascade Tunnel US Washington King County tunnels 47.742610 -121.069540 0 1605 America/Los_Angeles
Claremont Tunnel Claremont Tunnel,Claremont Water Tunnel US California Alameda County tunnels 37.872700 -122.218860 0 499 America/Los_Angeles
Cole Tunnel Cole Tunnel,Nevada Tunnel US Nevada Storey County tunnels 39.316300 -119.654900 0 2022 America/Los_Angeles
Cooke Tunnel Cook Tunnel,Cooke Tunnel US Hawaii Honolulu County tunnels 21.354170 -157.779720 0 265 Pacific/Honolulu
Cooks Springs Tunnel Canefield Tunnel,Cooks Springs Tunnel US Alabama Saint Clair County tunnels 33.585660 -86.387480 0 216 America/Chicago
Available data formats

What's included in the world Tunnels database

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

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

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the world Tunnels DB - Frequently asked questions

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

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.