RevPAR reports are among the most useful tools in STR analytics — and among the most misread. The problem is not the metric itself. The problem is the average, which sits at the heart of most RevPAR reports and regularly misleads even experienced operators.
Understanding how to read past the average and extract genuinely actionable insight is a skill that separates reactive operators from those who make consistently better decisions.
The fundamental problem with market averages
When an analytics report states that the average RevPAR in a given market is $110, that number is almost certainly a mean average — the sum of all RevPAR values divided by the number of properties. The mean is sensitive to extreme outliers. One $1,500-per-night luxury villa in an otherwise mid-range market pulls the mean upward, making the market look more lucrative than it is for a typical operator.
In most STR markets, a small number of premium properties command disproportionate revenue. This creates a right-skewed distribution — a long tail of high performers that inflates the mean without reflecting the experience of the majority.
Mean vs. median: why median is usually more honest
The median RevPAR — the value at the midpoint of the distribution — is far more representative of what a typical property actually achieves. If the mean RevPAR is $110 but the median is $82, the market's apparent performance is being driven by a small number of outliers. An operator entering that market should calibrate expectations to $82, not $110.
When reading any market report, look for whether averages are mean or median. If the methodology is not disclosed, treat the numbers with appropriate scepticism.
The importance of percentile analysis
The most useful RevPAR reports present data in percentiles: P25 (the bottom quarter of performers), P50 (the median), P75 (the top quarter), and P90 (the top 10%). This gives you a meaningful picture of the distribution and allows you to position your property accurately within it.
If your property achieves a RevPAR that places it at the P65 level in your market, you know you are outperforming 65% of comparable properties. If your target is to reach P75, you have a specific, measurable goal to work toward. That is far more actionable than knowing you are above or below a mean.
Segmenting your comp set correctly
Market-level averages are useful for context but rarely sufficient for decision-making. A market RevPAR figure that includes everything from studio apartments to eight-bedroom estates tells you almost nothing about how your three-bedroom beachfront property should perform.
Effective RevPAR benchmarking requires a properly segmented comp set — properties of similar size, bedroom count, amenity tier, location, and target guest profile. Only within that cohort does a RevPAR comparison carry genuine weight.
The right questions to ask when reviewing a RevPAR report
- Is this a mean or median figure?
- What properties are included in this market definition?
- Does the report show percentile distribution or just a single average?
- What time period does this cover — and how does seasonality affect interpretation?
- How does my comp set's RevPAR compare to the broader market RevPAR?
A RevPAR report that can answer all five of those questions is worth acting on. One that cannot should be treated as directional context only.
The operators who use analytics most effectively are those who know which questions the numbers cannot answer — and ask them anyway.
RevPAR reporting that shows the full distribution
BNBinsights shows your RevPAR in percentile context — not just a market average, but where you sit within your actual comp set.
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