The U.S. hospitality landscape in 2026 continues to evolve with strong reliance on structured datasets and location intelligence. Midscale hotel brands, particularly Hampton by Hilton, are playing a critical role in catering to both business and leisure travelers across diverse regions. Organizations aiming to Scrape Hampton hotels in United States can gain access to valuable insights on hotel distribution, occupancy trends, and pricing benchmarks across the country.
The availability of the Hampton Inn Hotel Location Dataset allows analysts to evaluate geographic spread, city-level penetration, and demand clusters. Businesses that extract Hampton hotels USA location dataset can uncover patterns that support expansion planning, pricing optimization, and competitive positioning.
With the rise of Hotel Chains Data Scraping, Hampton’s extensive footprint provides a strong case for leveraging structured data to improve decision-making. By utilizing Hampton hotels US location intelligence, companies can better understand how midscale hotels dominate high-traffic travel corridors, suburban areas, and major metropolitan regions.
In 2026, Hampton by Hilton operates more than 3,100+ hotels across the United States, covering all 50 states and over 1,800 cities. Leveraging tools to Scrape Hotel Chains Location Data enables businesses to map hotel density, evaluate performance trends, and identify underserved markets for future growth. The Hampton hotels USA city-wise location dataset provides granular visibility into how properties are distributed across high-demand urban and travel-centric locations.
States with the highest Hampton hotel presence highlight strong travel demand and strategic placement.
TEXAS
FLORIDA
CALIFORNIA
GEORGIA
TENNESSEE
NORTH CAROLINA
Total Cities Covered: 1,800+ major and mid-sized cities (New York City, Los Angeles, Chicago, Houston, Dallas, Atlanta, Orlando, Phoenix, Denver, Nashville, Charlotte, Tampa)
Based on available data, the states with the highest number of Hampton properties include:
| Rank | State Name | Total Hotels | Key Cities |
|---|---|---|---|
| 01 | Texas | 420+ | Houston, Dallas, Austin, San Antonio |
| 02 | Florida | 380+ | Orlando, Miami, Tampa, Jacksonville |
| 03 | California | 310+ | Los Angeles, San Diego, Sacramento |
| 04 | Georgia | 210+ | Atlanta, Savannah, Augusta |
| 05 | Tennessee | 180+ | Nashville, Memphis, Knoxville |
| 06 | North Carolina | 170+ | Charlotte, Raleigh, Durham |
These regions represent strong business and tourism demand, making them ideal for Hampton’s expansion strategy.
| Rank | City Name | Hotels | Avg Review | Star Rating | Starting Price |
|---|---|---|---|---|---|
| 01 | New York City | 14 | 8.2 | 3★–4★ | $210 |
| 02 | Atlanta | 12 | 8.3 | 3★–4★ | $185 |
| 03 | Dallas | 11 | 8.1 | 3★–4★ | $170 |
| 04 | Orlando | 10 | 8.4 | 3★–4★ | $195 |
| 05 | Houston | 10 | 8.0 | 3★–4★ | $165 |
This table highlights cities with strong Hampton presence and consistent guest satisfaction metrics.
| Rank | Hotel Name | City | Star Rating | Review Score | Total Rooms | Occupancy Rate (%) |
|---|---|---|---|---|---|---|
| 01 | Hampton Inn Manhattan | New York | 4★ | 8.5 | 220 | 93% |
| 02 | Hampton Inn Downtown ATL | Atlanta | 3★ | 8.4 | 180 | 91% |
| 03 | Hampton Inn Orlando Airport | Orlando | 3★ | 8.6 | 210 | 92% |
| 04 | Hampton Inn Dallas Market | Dallas | 3★ | 8.2 | 175 | 90% |
Hotels with high occupancy provide valuable insights into demand patterns and pricing strategies.
| Rank | City | Number of Hotels | Total Rooms | Avg Review Score | Starting Price (USD) |
|---|---|---|---|---|---|
| 01 | Atlanta | 12 | 2,500 | 8.3 | 185 |
| 02 | Dallas | 11 | 2,200 | 8.1 | 170 |
| 03 | Orlando | 10 | 2,400 | 8.4 | 195 |
| 04 | Houston | 10 | 2,100 | 8.0 | 165 |
| 05 | Nashville | 9 | 1,850 | 8.2 | 180 |
This table reflects Hampton’s strong presence across high-demand U.S. cities.
“Unlock the power of Hampton hotel location insights to identify expansion hotspots, refine pricing models, and maximize occupancy across the U.S. market.”
Our Hampton-focused datasets deliver precise, data-driven insights that support informed strategic decisions. They enable businesses to analyze location distribution, occupancy trends, pricing patterns, and customer behavior, helping stakeholders optimize operations, identify growth opportunities, and strengthen competitive positioning within the U.S. hospitality market.
| Fields Name | Description |
|---|---|
| Hotel Name & Brand | Identifies Hampton property and brand classification |
| Location Details | Includes city, state, full address, and coordinates |
| Room & Occupancy Data | Total rooms and occupancy trends |
| Pricing Information | Average rates and seasonal pricing |
| Guest Reviews | Ratings and customer feedback insights |
Hampton hotels are strategically located in major cities such as New York, Atlanta, Dallas, Houston, and Orlando to maximize occupancy and accessibility.
The brand focuses on consistent, affordable accommodations, making it highly scalable across diverse geographic regions.
Using Hampton by Hilton US location data scraping, businesses can identify growth trends aligned with population and travel demand.
Hampton’s widespread presence allows benchmarking against similar midscale brands, helping businesses refine their strategies.
Guest reviews and ratings datasets help improve service quality and enhance overall satisfaction levels.
By leveraging advanced analytics to understand Hampton hotel distribution, businesses can gain deeper insights into market coverage, occupancy trends, and pricing strategies. The ability to perform Hampton hotels US location market coverage scraping enables organizations to identify high-growth regions and optimize expansion strategies.
TAdditionally, tools that scrape Hampton hotels US location mapping data provide a visual representation of geographic distribution, supporting better planning and forecasting. Combined with robust Hotel Data Intelligence, these insights empower hospitality stakeholders to make data-driven decisions and maintain a competitive advantage in 2026 and beyond.
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