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Airbnb Charge-Rate Calculator

Find what to charge per night for your short-term rental: a cost floor, a comp-based base rate, weekend and peak premiums, and length-of-stay discounts.

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Recommended base rate

$176.28

Nightly floor (break-even)
$113.00
Weekend rate
$202.72
Peak-season rate
$264.41
Weekly-stay nightly
$149.83
Monthly-stay nightly
$114.58
Projected monthly revenue
$3,676.59
RevPAN (per available night)
$122.55
Cleaning fee (pass-through)
$90.00

Quick answer: With the example inputs this page loads by default, the headline result (Recommended base rate) comes to $176.28. Find what to charge per night for your short-term rental: a cost floor, a comp-based base rate, weekend and peak premiums, and length-of-stay discounts. Change any input above and every figure updates instantly in your browser.

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Your nightly rate sits between two anchors: a floor that covers your costs (monthly costs divided by your target booked nights) and the market rate that comparable booked listings actually charge. This calculator sets a base rate from those two, never below your cost-plus target, then layers a weekend premium and a peak-season premium on top and length-of-stay discounts below, and projects your monthly revenue and revenue per available night.

Assumptions

  • Your nightly floor is total monthly costs divided by your target booked nights. It is the break-even rate per booked night, the price below which you lose money on every booking.
  • Your cost-plus target is the floor times one plus your profit margin. The recommended base rate is the larger of that cost-plus target and a blend that splits the difference evenly between the cost-plus target and the comparable market rate. The base is therefore never below your cost-plus target, and when comparable listings charge more it moves halfway toward the market rather than all the way.
  • The comparable market rate should come from listings that actually book, not from asking prices, which tend to run higher than booked rates.
  • The weekend rate is the base times one plus the weekend premium, and the peak-season rate is the base times one plus the peak premium. The weekly and monthly nightly rates are the base reduced by the weekly and monthly length-of-stay discounts.
  • Projected monthly revenue is your booked nights times the base rate, with the weekend premium applied to the weekend share of nights. A month is treated as 30 available nights split five sevenths weekday and two sevenths weekend (Friday and Saturday). The peak premium is a high-season figure for specific dates, so it is deliberately left out of this monthly projection.
  • RevPAN, revenue per available night, is the projected monthly revenue divided by 30 available nights.
  • Cleaning is a pass-through. The guest pays the cleaning fee and the host remits it to the cleaner, so it is shown for reference but is never added to the nightly rate or counted in the revenue projection. If your cleaning fee does not cover what you pay the cleaner, fold only the shortfall into your monthly costs.
  • Urban markets usually reward a smaller weekend premium, often 8 to 15 percent, because a wide premium can leave midweek nights empty. All figures are rounded to the nearest cent.
  • These are starting points, not guarantees. Real pricing should respond to demand, events, seasonality, reviews, and your booking pace. This is an estimate for educational purposes only, not financial advice. See the pricing playbook for the full method.

Key terms

Definitions for the terms this calculator uses, in our finance glossary .

How is the charge rate calculated?

This calculator builds a nightly price the way an experienced host does: from the bottom up. It starts with a floor that covers your costs, sets a base rate against the market, then layers premiums above and discounts below. Every figure is rounded to the cent.

Your floor is the lowest price that still covers your costs:

floor = total monthly costs ÷ target booked nights

If a month costs $2,260 to run and you expect to book 20 nights, your floor is $113. Price below that and you lose money on every booked night.

Your base rate comes from two anchors, your costs and the market:

  • cost-plus target = floor × (1 + profit margin)
  • blended rate = (cost-plus target + comparable market rate) ÷ 2
  • base rate = the larger of the cost-plus target and the blended rate

The base is therefore never below your cost-plus target. When comparable booked listings charge more than your cost-plus number, the base moves halfway toward the market rather than all the way, so you capture more without pricing yourself out. When the market is soft, the base holds at your cost-plus target instead of chasing a low comp downward.

The premiums and discounts all scale off the base:

  • weekend rate = base × (1 + weekend premium)
  • peak-season rate = base × (1 + peak premium)
  • weekly-stay nightly = base × (1 − weekly discount)
  • monthly-stay nightly = base × (1 − monthly discount)

Projected monthly revenue weights the base by your booked nights, applying the weekend premium to the weekend share. A month is treated as 30 available nights, split five sevenths weekday and two sevenths weekend (Friday and Saturday):

revenue = booked nights × base × (5/7 + 2/7 × (1 + weekend premium))

RevPAN, revenue per available night, spreads that revenue across all 30 available nights:

RevPAN = projected monthly revenue ÷ 30

Why the comp rate must come from booked listings

The single most common pricing mistake is anchoring to what other listings ask rather than what they actually book. Asking prices run higher than booked prices, often by 20 to 40 percent, because optimistic hosts leave high rates on empty calendars. Pull three to five genuinely comparable listings and watch which nights reserve. Those booked nights are your real market rate, and they are what belongs in the comparable market rate input. The gap between asking and booked also widens in oversupplied markets, so before you trust any comp, check whether the Airbnb market is saturated in 2026 for the supply data on markets like yours.

Why cleaning is shown but not added to the rate

The cleaning fee is collected from the guest and paid out to the cleaner. It passes through the host; it is not part of your nightly price and not your income. Folding it into the rate would distort both your pricing and your revenue, so the calculator shows it for reference and keeps it out of every nightly figure. If your cleaning fee does not fully cover what you pay the cleaner, fold only the shortfall into your monthly costs.

Worked example

$2,260 monthly costs, 20 target booked nights, $200 comparable market rate, 35% profit margin, 15% weekend premium, 50% peak premium, $90 cleaning fee, 15% weekly and 35% monthly discounts:

  • Floor = $2,260 ÷ 20 = $113.00.
  • Cost-plus target = $113 × 1.35 = $152.55. Blended = ($152.55 + $200) ÷ 2 = $176.28. The market is above cost-plus, so base = $176.28 (the blend halfway toward the market).
  • Weekend rate = $176.28 × 1.15 = $202.72. Peak rate = $176.28 × 1.50 = $264.41.
  • Weekly-stay nightly = $176.28 × 0.85 = $149.83. Monthly-stay nightly = $176.28 × 0.65 = $114.58.
  • Projected monthly revenue = 20 × $176.28 × (5/7 + 2/7 × 1.15) = $3,676.59.
  • RevPAN = $3,676.59 ÷ 30 = $122.55.
  • The $90 cleaning fee is shown separately and is not in any of the figures above.

Now flip the market. Keep everything the same but raise monthly costs to $3,000 (floor $150, cost-plus $202.50) and drop the comparable rate to $180. The blended rate is $191.25, but it loses to the $202.50 cost-plus target, so the base holds at $202.50: you do not cut your price below what covers your costs and margin just because a soft comp suggests it.

Edge cases and what this does not model

  • The peak premium is a high-season figure for specific dates and events, so it is deliberately left out of the monthly revenue projection, which reflects a normal month. The peak rate is shown for the dates where it applies.
  • Revenue uses a single 30-night month with a fixed weekday and weekend split. It does not model the exact calendar, holidays, orphan nights, or your real booking pace.
  • These are starting points, not guarantees. Real pricing should respond to demand, events, seasonality, reviews, and how fast your calendar is filling. Treat the output as a planning estimate under your assumptions, and read the full method in our Airbnb pricing playbook.

Sources

Frequently asked questions

How is the recommended base rate calculated?
It is the larger of two numbers: your cost-plus target (the floor times one plus your profit margin) and a blend that splits the difference evenly between that target and the comparable market rate. So your base never drops below the rate that covers your costs and margin, and when the market is higher it meets the market halfway rather than chasing it all the way up.
Why is cleaning shown separately instead of added to the rate?
Because cleaning is a pass-through. The guest pays the cleaning fee and you remit it to your cleaner, so it is neither your income nor part of your nightly price. Folding it into the rate would distort both your pricing and your revenue, so the calculator shows it for reference and leaves it out of the nightly numbers.
What is RevPAN and how is it different from the nightly rate?
RevPAN is revenue per available night: your projected monthly revenue divided by the nights the property is available, here 30. The nightly rate is what a booked night earns; RevPAN spreads earnings across every available night, booked or not, so it captures price and how full your calendar is in a single number.
Why is the peak premium left out of the monthly revenue projection?
The peak premium applies to specific high-season dates and events, not to a typical month. Including it would overstate ordinary monthly revenue. The projection uses your base rate plus the weekend premium, which reflects a normal month, and the peak rate is shown separately for the dates where it applies.

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Learn how this works

New to this topic? Our companion guide explains it in plain language: How Much Should I Charge for My Airbnb: A Pricing Playbook

By Sam Sage Last reviewed .