Major Hospitality Industry Publications and Data Sources
The hospitality industry generates a dense ecosystem of research, trade journalism, and performance data that operators, investors, and analysts rely on to benchmark properties and track market conditions. This page identifies the principal publication types and data providers serving the US commercial hospitality sector, explains how each category functions, and outlines when a practitioner would turn to one source over another. Understanding the distinction between trade press, academic journals, and proprietary benchmarking databases is essential for anyone evaluating hospitality industry performance benchmarks or conducting due diligence on a market.
Definition and scope
Hospitality industry publications and data sources encompass four broad categories: trade press, academic and research journals, government statistical agencies, and proprietary benchmarking or market intelligence platforms. Each category serves a different analytical function and operates on a different publication cycle.
Trade press includes outlets such as Hotel Management, Hotels Magazine, Skift, and HospitalityNet, which deliver news, operator interviews, and segment analysis on a daily or weekly basis. These sources are useful for tracking brand announcements, technology adoption, and legislative developments but rarely publish research-based methodology.
Academic and research journals — including the International Journal of Hospitality Management (Elsevier) and the Cornell Hospitality Quarterly published by Cornell University's School of Hotel Administration — subject research to peer review and publish findings on topics from revenue management to labor turnover. The Cornell Hospitality Quarterly has been in continuous publication since 1960, making it one of the longest-running hospitality research periodicals in the US.
Government statistical sources include the US Bureau of Labor Statistics (BLS), which tracks hospitality employment and wage data under the Accommodation and Food Services sector (NAICS 72), and the US Census Bureau, which publishes accommodation revenue through the Annual Retail Trade Survey and the Economic Census.
Proprietary benchmarking platforms — led by CoStar Group's STR division — collect property-level data from participating hotels and aggregate it into market-wide occupancy, ADR, and RevPAR indices. STR data is widely cited as the industry standard for comparative performance measurement and is referenced in discussions of RevPAR, ADR, and occupancy rate metrics.
How it works
Trade publications operate on advertising and subscription revenue and publish content on continuous cycles tied to news events and industry conferences. They do not typically own proprietary datasets.
STR, now a division of CoStar Group, collects weekly or daily room revenue and occupancy data from participating properties through a voluntary submission system. Properties receive benchmarking reports in return for their data. As of 2023, STR tracked more than 60,000 hotels globally (CoStar Group / STR), with the US market comprising the largest single-country dataset. STR segments its output into chain-scale categories — Luxury, Upper Upscale, Upscale, Upper Midscale, Midscale, and Economy — which align with the classifications discussed under hotel classifications and star ratings in the US.
CBRE Hotels Research publishes quarterly and annual US hotel market reports drawing on both proprietary transaction data and STR benchmarks, focusing heavily on investment and asset valuation metrics that are relevant to real estate investment trusts in hospitality.
The American Hotel & Lodging Association (AHLA) commissions annual state-of-the-industry reports through Oxford Economics and releases workforce and economic impact data. AHLA figures are frequently cited in congressional testimony and regulatory proceedings (AHLA).
Common scenarios
- Competitive set benchmarking: A hotel general manager uses STR's STAR Report to compare the property's occupancy and ADR against a defined competitive set of 5–10 comparable properties in the same submarket.
- Investment underwriting: A private equity analyst pulls CBRE Hotels Research or STR Pipeline data to assess new supply entering a target market over the next 24 months.
- Academic research: A graduate student studying hospitality labor law and employment standards draws on BLS Occupational Employment and Wage Statistics and Cornell Hospitality Quarterly articles to frame their literature review.
- Legislative testimony: A lodging association uses AHLA-commissioned Oxford Economics data to quantify job losses or tax revenue impacts when advocating before state legislatures.
- Technology evaluation: An operator consulting Hotel Management or Hospitalitynet tracks peer adoption rates before selecting a new property management system.
Decision boundaries
The choice of source depends on the question being asked and the precision required.
| Purpose | Primary source type | Example |
|---|---|---|
| Real-time market performance | Proprietary benchmarking | STR STAR Report |
| Macroeconomic and employment trends | Government statistics | BLS NAICS 72 data |
| research-based academic research | Research journals | Cornell Hospitality Quarterly |
| Industry news and brand intelligence | Trade press | Skift, Hotel Management |
| Transaction and investment analysis | Commercial research firms | CBRE Hotels Research |
A critical distinction separates descriptive benchmarking data (STR, CBRE) from regulatory and statutory data (BLS, Census Bureau). Benchmarking data reflects only the universe of participating or surveyed properties and carries methodological caveats about sample coverage; government data uses probabilistic sampling or near-census methodology with published confidence intervals. For litigation, regulatory filings, or academic citation, government and research-based sources carry greater evidentiary weight. For operational decisions — pricing, staffing, capital planning — proprietary benchmarking data provides the granularity and timeliness that government sources, which often lag by 12–24 months, cannot match. This distinction becomes particularly important when consulting the US hospitality industry market size and scope data that underpins investment decisions.
References
- US Bureau of Labor Statistics — Accommodation and Food Services (NAICS 72)
- US Census Bureau — Accommodation Sector
- CoStar Group / STR
- Cornell Hospitality Quarterly — SAGE Journals
- American Hotel & Lodging Association (AHLA)
- International Journal of Hospitality Management — Elsevier