This report provides comprehensive Kimpton Hotels US location data insights, enabling analysis of distribution, pricing trends, occupancy patterns, and customer behavior to support informed boutique hospitality strategies in 2026.
The U.S. hospitality segment is rapidly evolving, driven by personalized guest experiences, lifestyle-centric stays, and data-backed strategic planning. One of the most effective approaches to gaining a competitive edge is to Scrape Kimpton Hotels & Restaurants locations in US, enabling businesses to access detailed insights into property distribution, pricing trends, occupancy behavior, and guest sentiment. Kimpton Hotels & Restaurants is known for its boutique-style accommodations, design-forward properties, and curated dining experiences. With a strong footprint in major metropolitan cities and lifestyle-driven destinations, Kimpton appeals to both premium leisure travelers and business professionals.
By leveraging structured datasets like the Kimpton Hotels Hotel Location Dataset, organizations can better understand market positioning, identify high-demand locations, and optimize expansion strategies across urban and leisure destinations.
Advanced techniques to extract Kimpton Hotels USA location dataset empower analysts, investors, and travel-tech companies to monitor performance, benchmark competitors, and uncover hidden opportunities within the boutique hospitality sector.
Given Kimpton’s unique positioning in lifestyle hospitality, Hotel Chains Data Scraping becomes essential for capturing nuanced insights such as neighborhood-level demand, seasonal pricing variations, and customer experience metrics.
States with the highest number of Kimpton properties in the USA reflect strong tourism demand and urban activity.
CALIFORNIA
NEW YORK
FLORIDA
ILLINOIS
TEXAS
WASHINGTON
Total Cities Covered: 25+ major cities (New York, Los Angeles, Chicago, San Francisco, Miami, Seattle, Boston, Washington D.C., Denver, Austin, Portland, Philadelphia)
The metrics highlight how Kimpton Hotels USA location analytics supports identification of high-performing urban markets and demand clusters. Based on available data, the states with the highest number of Kimpton properties include:
| Rank | State Name | Total Hotels | Key Cities |
|---|---|---|---|
| 01 | California | 35+ | Los Angeles, San Francisco, San Diego |
| 02 | New York | 20+ | New York City, Brooklyn |
| 03 | Florida | 18+ | Miami, Orlando, Tampa |
| 04 | Illinois | 15+ | Chicago |
| 05 | Texas | 14+ | Austin, Dallas, Houston |
| 06 | Washington | 12+ | Seattle |
These regions demonstrate how Kimpton Hotels US location intelligence helps identify premium hospitality zones and supports expansion strategies.
| Rank | City Name | Hotels | Avg Review | Star Rating | Starting Price |
|---|---|---|---|---|---|
| 01 | New York City | 6 | 8.5 | 4★–5★ | $280 |
| 02 | Los Angeles | 5 | 8.4 | 4★–5★ | $260 |
| 03 | Chicago | 4 | 8.3 | 4★ | $230 |
| 04 | Miami | 4 | 8.6 | 4★–5★ | $250 |
| 05 | Seattle | 3 | 8.7 | 4★ | $240 |
This dataset helps businesses Scrape Hotel Chains Location Data for benchmarking and competitive intelligence.
| Rank | Hotel Name | City | Star Rating | Review Score | Total Rooms | Occupancy Rate (%) |
|---|---|---|---|---|---|---|
| 01 | Kimpton EPIC Hotel | Miami | 5★ | 8.7 | 411 | 91% |
| 02 | Kimpton Gray Hotel | Chicago | 4★ | 8.6 | 293 | 89% |
| 03 | Kimpton Shorebreak | Huntington Beach | 4★ | 8.5 | 157 | 88% |
| 04 | Kimpton Muse Hotel | New York | 4★ | 8.4 | 200 | 90% |
These insights are essential for extract Kimpton Hotels USA city-wise locations and evaluating performance across high-demand destinations.
| Rank | City | Number of Hotels | Total Rooms | Avg Review Score | Starting Price (USD) |
|---|---|---|---|---|---|
| 01 | New York | 6 | 1,200 | 8.5 | 280 |
| 02 | Los Angeles | 5 | 950 | 8.4 | 260 |
| 03 | Chicago | 4 | 800 | 8.3 | 230 |
| 04 | Miami | 4 | 780 | 8.6 | 250 |
| 05 | Seattle | 3 | 600 | 8.7 | 240 |
This table provides a clear view for Property Listing Analysis, helping stakeholders understand city-level performance and pricing dynamics.
“Access rich Kimpton hotel location data to sharpen market positioning, enhance operational efficiency, and identify high-growth opportunities across the evolving U.S. hospitality sector.”
Our Kimpton-focused datasets unlock precise, boutique-level intelligence, enabling businesses to make smarter, data-driven decisions across hospitality, real estate, and travel ecosystems with improved accuracy and strategic clarity.
| Fields Name | Description |
|---|---|
| Hotel Name & Brand | Identifies the specific Kimpton property |
| Location Details | Includes city, state, address, and coordinates |
| Room & Occupancy Data | Total rooms and occupancy trends |
| Pricing & Rate Information | Seasonal and dynamic pricing insights |
| Guest Ratings & Reviews | Review scores and customer feedback |
Kimpton selectively positions properties in culturally vibrant, high-traffic city districts to capture premium travelers and maximize visibility in competitive hospitality markets.
The brand emphasizes design, ambiance, and personalized guest interactions, creating distinctive stays that stand apart from conventional chain hotel experiences.
Advanced rate optimization adjusts pricing dynamically based on local events, travel demand, and booking behavior to drive consistent revenue growth.
Detailed geographic data enables businesses to analyze market gaps, benchmark competitors, and identify high-potential expansion zones.
Continuous analysis of guest reviews and feedback helps refine services, improve satisfaction levels, and strengthen long-term brand loyalty.
By leveraging advanced analytics to extract Kimpton Hotels & Restaurants data, businesses can gain deep insights into boutique hospitality performance across the United States.
The ability to perform Kimpton Hotels USA market coverage scraping ensures comprehensive visibility into high-demand regions and emerging markets.
Integrating Web Scraping Kimpton Hotels & Restaurants data in US enables real-time monitoring, predictive analytics, and smarter decision-making.
Ultimately, adopting Hotel Data Intelligence empowers organizations to optimize operations, enhance guest experiences, and maintain a competitive edge in the evolving hospitality landscape.
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