LATEST MARKET REPORT 2026

Scrape Kimpton Hotels & Restaurants Locations in US 2026 for Boutique Hospitality Market Insights

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.

Updated: 02 April, 2026
Coverage: United States
Industry: Hospitality
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Introduction

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.

180+

Hotels & Restaurants

25+

Major Cities

30+

States Covered
Map

Top States by Number of Kimpton Hotels

States with the highest number of Kimpton properties in the USA reflect strong tourism demand and urban activity.

REGIONAL

CALIFORNIA

35+

NEW YORK

20+

FLORIDA

18+

ILLINOIS

15+

TEXAS

14+

WASHINGTON

12+

City Level Granularity

Total Cities Covered: 25+ major cities (New York, Los Angeles, Chicago, San Francisco, Miami, Seattle, Boston, Washington D.C., Denver, Austin, Portland, Philadelphia)

High Occupancy Hubs :

New York32%
Los Angeles26%
Chicago22%
Miami20%
Map

Top States with Most Kimpton Hotels in the USA

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.

Kimpton Hotels in Key US Cities

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.

Kimpton Hotels with High Occupancy Rates

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.

Distribution of Kimpton Hotels Across Major US Cities

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.

Take Your Boutique Hospitality Insights Further

“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.”

Advantages of Kimpton Hotel Location Data Over Generic Hotel Datasets

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.

  • Hospitality Strategy Consultants: Uncover micro-market demand patterns, guest behavior insights, and pricing shifts to design highly tailored advisory solutions for boutique and lifestyle hotel segments.
  • Real Estate & Expansion Teams: Pinpoint emerging urban hotspots, lifestyle districts, and underpenetrated neighborhoods to guide profitable site selection and property development decisions.
  • Hotel Investors & Asset Managers: Utilize performance-driven metrics, occupancy forecasts, and revenue indicators to evaluate investments, reduce risks, and maximize long-term portfolio returns.
  • Tourism Boards & Travel Platforms: Leverage brand-specific datasets to refine destination marketing, enhance traveler personalization, and strengthen competitive positioning in premium hospitality markets.
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

Insights and Analysis

01

Strategic Urban Footprint

Kimpton selectively positions properties in culturally vibrant, high-traffic city districts to capture premium travelers and maximize visibility in competitive hospitality markets.

02

Experience-Driven Differentiation

The brand emphasizes design, ambiance, and personalized guest interactions, creating distinctive stays that stand apart from conventional chain hotel experiences.

03

Demand-Based Pricing Strategy

Advanced rate optimization adjusts pricing dynamically based on local events, travel demand, and booking behavior to drive consistent revenue growth.

04

Location Intelligence Advantage

Detailed geographic data enables businesses to analyze market gaps, benchmark competitors, and identify high-potential expansion zones.

05

Guest Sentiment Utilization

Continuous analysis of guest reviews and feedback helps refine services, improve satisfaction levels, and strengthen long-term brand loyalty.

Conclusion

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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