United States Trails Database 2023 Update

Comprehensive and updated dataset of United States trails: explore locations, unique attributes, and popularity insights
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Fresh data 10,000+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Baldface Circle Trail Baldface Circle Trail,Sanctuary Circle Trail US New Hampshire Coos County trails 44.251180 -71.062020 0 629 America/New_York
Barber Springs Trail Barber Spring Trail,Barber Springs Trail US New Mexico Lincoln County trails 33.738690 -105.694430 0 2217 America/Denver
Barker Valley Spur Barker Spur Trail,Barker Valley Spur US California San Diego County trails 33.341980 -116.799190 0 1552 America/Los_Angeles
Basin Cascade Trail Basin Cascade Trail,Basin-Cascade Trail US New Hampshire Grafton County trails 44.122570 -71.688420 0 557 America/New_York
Beachcroft Trail Beachcroft Trail,Champlain Mountain Trail US Maine Hancock County trails 44.352860 -68.203620 0 49 America/New_York
Bean Creek Trail Bean Creek Trail,Juneau Creek Trail US Alaska Kenai Peninsula Borough trails 60.418060 -149.864720 0 644 America/Anchorage
Bear Creek Trail Bear Creek Foot Trail,Bear Creek Trail US California Siskiyou County trails 41.887360 -122.672250 0 1075 America/Los_Angeles
Bear Creek Trail Bear Creek Trail,Grindstone Trail US Colorado Montezuma County trails 37.529440 -108.124520 0 2667 America/Denver
Beasley Trail Beasley Trail,Beaston Trail US Pennsylvania Perry County trails 40.265360 -77.579990 0 327 America/New_York
Beech Mountain Trail Beech Mountain Trail,Brain Trail US Maine Hancock County trails 44.311470 -68.346130 0 256 America/New_York
Available data formats

What's included in United States Trails database

We collect and enrich data on United States trails 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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United States trails data sources

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

United States Trails DB - Frequently asked questions

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