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United States Hotels Database 2023 Update

Comprehensive and updated dataset of United States hotels: explore locations, unique attributes, and popularity insights
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Fresh data 60,000+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Best Western Plus Sunset Plaza Hotel Sunset Plaza Hotel US California Los Angeles County hotels 34.095060 -118.372690 0 0 America/Los_Angeles
Chateau Celeste Hollywood Hotel Chateau Celeste US California Los Angeles County hotels 34.092990 -118.292110 31 0 America/Los_Angeles
Comfort Inn & Suites Berkshire Berkshire Comfort Inn,Comfort Inn & Suites Berkshire,Comfort... US Massachusetts Berkshire County hotels 42.207500 -73.346400 0 0 America/New_York
Crystal Hotel Hotel Alma,Hotel Tait US Oregon Multnomah County hotels 45.522860 -122.683310 0 0 America/Los_Angeles
Desert Inn Desert Inn US Nevada Clark County hotels 36.128610 -115.166390 0 0 America/Los_Angeles
Dunes Hotel and Casino Dunes Hotel and Casino US Nevada Clark County hotels 36.113060 -115.176390 0 0 America/Los_Angeles
Edgewater Hotel Edgewater Water View US Washington King County hotels 47.612370 -122.352370 0 0 America/Los_Angeles
El Rancho Hotel and Casino El Rancho Hotel and Casino,The Silverbird,The Thunderbird US Nevada Clark County hotels 36.137500 -115.158890 0 0 America/Los_Angeles
Embassy Suites by Hilton Tampa USF Embasy Suites Busch Gardens US Florida Hillsborough County hotels 28.055720 -82.416710 0 0 America/New_York
Embassy Suites Hotel® Portland-Downtown Multnomah Hotel US Oregon Multnomah County hotels 45.521700 -122.673800 0 0 America/Los_Angeles
Available data formats

What's included in United States Hotels database

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

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

United States Hotels DB - Frequently asked questions

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