Business Travel Per Diems for 200 Global Cities
BTN’s 2024 Corporate Travel Index is the business travel industry's definitive resource for business travel costs in 200 cities around the world. Use it to benchmark your current program or to offer insights into rate
trends in the markets you care about most. The index is unique in that it tracks actual corporate booked hotel and car rental rates using data from managed travel sources, not consumer data, to reflect actual managed travel activity as opposed to theoretically available rates.
Hotel, car rental and safety data are updated quarterly in BTN's Corporate Travel Index Calculator, where users can customize per diem snapshots based on the class of service allowed by their travel policies for hotel and car rental categories. Meal costs and taxi rates are updated annually. Five years of data are now available in the calculator, allowing for year-over-year or quarter-over-quarter comparisons.
Most Recent Quarterly Data Tables
BTN offers its most recent quarterly Corporate Travel Index data in summary documents available for download. These tables include all 200 cities and are calculated using data for all classes of service, including economy, midscale, upscale, upper upscale and luxury for hotel rates and compact, midsize and full-size rental car rates.
Methodology
Hotel Rates: Advito, Emburse and Prime Numbers provide quarterly aggregated,
anonymized, quarterly U.S. rates booked by corporate clients across five hotel
tiers. Advito, HRS and Prime Numbers provide parallel data for non-U.S. cities.
BTN provides taxes and fees for U.S. cities on an annual basis.
Car Rental Rates: Advito, Emburse and Prime Numbers provide quarterly aggregated,
anonymized, quarterly U.S. car rental rates booked by corporate clients across
three car rental tiers. Advito provides combined local tax and fee data.
Meal Prices: BTN rebuilt its meal and restaurant database in 2023. BTN will update
meal data annually, using the following methodology.
U.S. Meal Data: Cities with annual GDP above $95 billion: BTN surveyed six independent
restaurants and three hotel restaurants for breakfast; for each lunch and dinner,
they surveyed six chain and six independent restaurants. For smaller cities, BTN
surveyed two independent restaurants and one hotel restaurant for breakfast and
three chain and three independent restaurants for each lunch and dinner. Breakfast
is based on an egg entree with fruit and coffee or juice. Lunch is an
entree-style salad or sandwich, pizza, burrito, etc. with fruit; fries or
chips; and nonalcoholic beverage. Dinner is protein-based entree; small salad;
cheese tray or dessert; glass of wine. Sample breakfast restaurants include
Denny’s, IHOP and Starbucks. Lunch chains include Chili's, Panera and Bonefish
Grill. Dinner chains include Cheesecake Factory and Capital Grille.
Non-U.S.Meal Data: Breakfast is based on continental breakfast. For lunch
and dinner in each city that has a population of 1.5 million or more, BTN
surveyed 12 restaurants; in each smaller city, they called six. BTN converted
prices from local currency to U.S. dollars on February 15, 2023. Lunch is based
on a sandwich, salad and nonalcoholic drink. Dinner is based on a fish, chicken
or beef entree; salad; a dessert or cheese tray; glass of wine.
Taxi Rates: BTN compiles taxi rate data annually using Rome2Rio.
Risk Scores: GeoSure synthesizes near real-time traveler safety data using a
proprietary combination of Big Data predictive analytics, artificial
intelligence/natural language processing and crowdsourced input. GeoSafeScores
powered by GeoSure incorporate structured and unstructured data from sources
like the United Nations, Centers for Disease Control and Prevention, World
Health Organization, Interpol, The World Bank, FBI and the U.S. State
Department, as well as macro sources like inflation trends, education, income
levels, political stability, trending health and disease data,
neighborhood-level police presences, healthcare facility proliferation and
infrastructure characteristics. BTN updates risk data quarterly.