Yes, you can create your account login here.
Can I create an account login for the STR website?
How are hotels classified by STR?
Chain Scale Segments
The Chain Scale segments are: Luxury, Upper Upscale, Upscale, Upper Midscale, Midscale, Economy and Independent.
Chain Scale segments are grouped primarily according to actual average room rates. An independent hotel, regardless of average daily rate (ADR), is included as a separate Chain Scale category.
Hotels are categorized by the following class segments: Luxury, Upper Upscale, Upscale, Upper Midscale, Midscale and Economy.
The class for a chain-affiliated hotel is the same as its Chain Scale. An independent hotel is assigned a class based on its ADR, relative to that of the chain hotels in their geographic proximity.
How do you track new hotel openings and changes to existing hotels?
Our AM:PM hotel supply and pipeline platform is updated daily. Our global research team uses chain-feed pipelines with hotel brands, publicly-available data and our worldwide relationships to maintain the industry's most accurate supply and development database.
Each hotel in our database is contacted once per year to confirm its information as part of our Database Operations Center's ongoing maintenance and verification process.
How does STR collect data?
On a daily, weekly and monthly basis, STR processes performance data from hotels all around the world. This data is submitted straight from the source: chain headquarters, management companies, owners and directly from independent hotels. The data is checked for accuracy and for adherence to our reporting guidelines.
How does STR forecast markets?
STR’s Market Forecasts are created in partnership with leading forecasting company, Tourism Economics. Our historic market data, market event information, and both general and local economic indicators, are combined to predict the behavior of the hotels in each market. Tourism Economics applies its economic model and analysis found in the report.
Each market is handled uniquely and has its own best-fit forecast model that provides the highest rate of forecast accuracy. For example, as London accommodates many international visitors, currency exchange will be a more significant indicator than in Manchester, as this market is driven predominately by domestic demand.
How many hotels are included in STR's data sample?
STR currently collects data for more than 64,000 hotels around the world.
I have an account, why can't I open dSTAR reports?
In order to receive and access dSTAR reports, you must be on a report’s distribution list with an appropriate username and password. The email address on the distribution list must match the one linked to your web access. For security reasons, it is not possible to open reports sent to a different email address.
What data does STR collect from hotels?
We collect rooms available, rooms sold and net room revenue on a monthly, weekly and daily basis. We also collect data broken down by source of business (transient, group and contract) and source of revenue (room, F&B and other). On an annual basis, we process profitability data by department. In a growing number of markets, we collect forward occupancy data.
What is a competitive set (comp set)?
A comp set is a group of hotels that compete with your property for business and is selected with the purpose of benchmarking your performance against the competition.
What is ADR?
Average daily rate is a measure of the average rate paid for rooms sold. This is calculated by dividing rooms revenue by rooms sold.
What is benchmarking?
Benchmarking is the process of comparing and analyzing your property or portfolio's performance against the competition. The benchmarking process draws on our robust historical data to provide you with a better understanding of the market and context in which you operate.
What is RevPAR?
The gold standard metric around the industry, revenue per available room is calculated by dividing total room revenue by total number of available rooms. RevPAR is a function of both occupancy and ADR.
Where can I find a participation list for my market?
Please get in touch to discuss participation lists for your markets. You can find contact details of offices in your region here.
Who is STR?
STR is the recognized leader in hospitality industry benchmarking around the globe. Powered by the world's largest hotel data sample, we deliver confidential data, accurate and actionable insights, and comprehensive solutions that empower our clients’ decisions.
From our humble beginnings at the kitchen table of our co-founders, Randy and Carolyn Smith, we have grown to more than 300 team members in 15 countries. Discover our story.
Can I access individual hotel data?
Only an authorized representative of an individual hotel, brand or parent company can access the data of those respective entities. We take every precaution to maintain data confidentiality, and strict controls are maintained along each step of the process to ensure that data is handled responsibly. STR reports strictly aggregated data in public forums.
I am missing comp set data, can you tell me which hotel has not provided data?
No, STR reports aggregated data only. We do not release individual hotel, brand or company-specific data.
Reports and participation
Are there different options for participation with STR?
How can I edit the list of recipients for our STR hotel performance reports?
How can my hotel participate with STR?
If you are affiliated with a chain, please contact your corporate office, because many major chains, management and ownership companies have made provisions for their hotels to participate.
If your chain does not participate or your are an independent hotel, please contact us directly for assistance.
How do I submit data during closures?
Holiday closures (voluntary closures of less than 1 month)
Data should be submitted via the STR website, with full available rooms, zero rooms sold and zero revenue.
Seasonal closures (annual closure for one month or longer)
Data does not need to be submitted for seasonal closures, but you will need to notify us to ensure correct reporting. Please email:
email@example.com - North America
firstname.lastname@example.org - outside North America
Understanding your reports
How and why is running data calculated?
Running data is used to smooth out seasonality and to better identify the underlying trend. Running data is a sum of the data for the month or day in question plus the applicable running period.
For example, a running 3-month number is the average of the values for the current month and the previous two months; a running 12-month number is the average of the values for the current month and the previous 11 months. Running 3-month data for July would be calculated by summing the data of May, June and July. Running daily data works on the same principle (e.g. running 7 days for Sunday the 17th would be a sum of Monday the 11th through Sunday the 17th).
How are percent changes calculated?
Hotel and comp set performance changes are measured against the same period last year. The percent change is calculated using the following formula:
(This Year-Last Year) / Last Year.
If a percent change column in blank this means that current and/or historical data has not been received.
I would like to question some of my report's information, what should I do?
What does running 28 mean?
Running 28 days is the most recent 28 days of historical performance. The running 28 day numbers are based on the most current 28-day period, ending with the last day included in the weekly report.
What does running MTD mean?
It stands for running month-to-date. The MTD numbers are based on a calendar month and include all days of the same month, through the most recent calendar day included in the report. If the most recent week’s reporting includes data in two calendar months, the MTD numbers only include data from the recently-ended month.
What is my hotel's rank?
Your hotel’s performance is ranked against the other properties in your comp set. If your hotel’s RevPAR rank is “2 of 6,” that means your hotel’s RevPAR was second highest of the six hotels in your comp set.
What is the difference between Census and Sample rooms?
Census Rooms refers to the number of rooms collected and stored in our Hotel Census Database. Sample Rooms refers to the portion of the total census from which we receive performance data.
Why do you collect the previous year's data?
We collect prior year data to calculate year-over-year percentage change and check the accuracy of previously submitted data.
Why is there a large range for my percent numbers?
The data for this year vs. the same period last year may vary, depending on a number of factors such as holidays, calendar shifts, special events and promotions.
How do I calculate ADR?
ADR is calculated by diving the total rooms revenue by the total number of rooms sold.
Room Revenue/Rooms Sold = ADR
How do I calculate market penetration index (MPI)?
MPI is calculated by dividing the subject hotel's occupancy by the occupancy of the aggregated group of hotels and multiplying this number by 100.
(Subject hotel occupancy / Aggregated group of hotels’ occupancy) x 100 = Market Penetration Index
How do I calculate occupancy?
Occupancy is calculated by dividing the total number of rooms sold by the total number of rooms available.
Rooms Sold/Rooms Available = occupancy
How do I calculate revenue generating index (RGI)?
RGI is calculated by dividing the subject hotel's RevPAR by the RevPAR of the aggregated group of hotels and multiplying this number by 100.
To calculate RGI:
(Subject hotel RevPAR / Aggregated group of hotels’ RevPAR) x 100 = RevPAR Index
How do I calculate RevPAR?
RevPAR is calculated by diving the total room revenue by the total number of available rooms.
Room Revenue/Rooms Available = RevPAR
Competitive Sets (comp sets)
How can I change my comp set?
Branded hotels must contact their corporate office to make any changes. Independent hotels may contact us directly via:
email@example.com - North America
firstname.lastname@example.org - Outside North America
email@example.com - Asia Pacific
Any request to modify your comp set must include at least two changes to protect confidentiality.
How can I choose my ideal comp set?
Your biggest competitors are the properties sharing the highest amount of potential customers. This often means that your competitors are those sharing similar traits with your property or properties.
Distance, size, market segment, quality of service, online reputation and average daily rate are all necessary factors to consider when choosing your comp set. Analyzing each of these factors will help you narrow down your search and minimize the risk of picking the wrong comp set.
If you would like to know more about how you can build your ideal comp set, please reach out to us at any time.
Is my hotel included or excluded from the comp set numbers?
Our default is to exclude your hotel’s numbers from the comp set data on your dSTAR report. Upon request, we can include the subject hotel within the comp set.
You can check whether or not your hotel is included at the top of your report, below the title.
What happens if a hotel in my comp set does not participate?
If a hotel in your comp set fails to report data, we estimate their performance at the average of the reporting hotels in the comp set.
If a hotel closes, its data is not estimated in your comp set numbers. If a closing reduces your comp set hotel count to less than four, the comp set will be insufficient and the column will be blank. Please contact us for further information about a non-reporting hotel, data chasing or methodology questions via:
firstname.lastname@example.org - North America
email@example.com - Outside North America
firstname.lastname@example.org - Asia Pacific
What if there are blanks in my comp set numbers on my Bandwidth Report?
This means that your comp set did not include sufficient data for reporting. A minimum of three (3) hotels must report data in order for STR to provide comp set performance.
Why am I being compared to submarket scale or market scale instead of my comp set?
If your comp set did not include sufficient data for reporting, the comparative data will default to the most relevant industry segment available.