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How do I find a good Airbnb investment area?

Updated 20 July 2026 · HostPal Invest Editorial

Short answer

Divide an area's annual short-let RevPAR by its median two-bed asking price and shortlist anything clearing 9% gross or better — then eliminate on regulation before you look at a single property. That order matters. Most people find a property they like and rationalise the market afterwards; the money is made by screening forty markets down to three on four numeric filters, and only then opening a property portal.

The detail

Filter one is the yield ratio. Annual RevPAR — nightly rate times occupancy times 365 — divided by the median two-bed sale price in that specific neighbourhood, not the city. In the markets we track, 9% gross is the shortlist threshold and 7% is the abandon line once you assume a 5% mortgage. Sale prices come from HM Land Registry price paid data in England and Wales, or the equivalent national register elsewhere.

Filter two is supply trend. Inside Airbnb publishes rolling city snapshots of active listings; compare the current snapshot to the one twelve months earlier. Listing growth above 15% a year is compressing occupancy faster than demand can absorb, and you will be underwriting last year's numbers into next year's market. Under 10% is comfortable.

Filter three is the regulatory horizon, and it is the one that kills deals. Check the municipal or council licensing register directly: is there a night cap, a licence, a moratorium on new permits, or a live consultation? A market with a settled regime and no pending consultation is worth a lower yield than one with a great yield and an open review. Filter four is demand durability — split the annual occupancy curve by month, and if the peak-to-trough ratio exceeds 2.5x, or if a single event or employer explains the peak, treat the market as fragile.

Finally, go sub-city. Within London, RevPAR varies by roughly 3x between the strongest and weakest postcodes, and the highest-yielding neighbourhoods are almost never the most expensive ones — they are the walkable, transport-connected areas one ring out from the tourist core.

The numbers that matter

1. Gross RevPAR yield
(ADR x occupancy x 365) / median two-bed price. Shortlist at 9%+, abandon below 7%.
2. Supply growth
Active listings year on year from Inside Airbnb snapshots. Under 10% comfortable, over 15% a warning.
3. Regulatory horizon
Read the council or municipal register yourself. No cap and no live consultation is worth 1-2 points of yield.
4. Seasonality spread
Peak-month occupancy divided by trough-month occupancy. Under 2.5x is a business; over 4x is a summer job.

Where this stops holding

Every one of these four filters is backward-looking. Listing growth tells you what already happened; occupancy tells you what a market did last year with last year's supply. The single largest determinant of a market's next three years is a regulatory decision that has not been taken yet, and no dataset contains it — Barcelona's yields looked excellent right up to the June 2024 announcement that all 10,101 tourist-apartment licences would expire by 2028. The defence is not better data, it is buying at a price that also works as a long let.

Sources

Get this answered for your address

A HostPal Invest report runs the real occupancy, nightly rate, RevPAR, regulation risk and a buy / wait / avoid verdict for one specific property or drawn area, in any of 117 markets — not a national average. Street-Level reports from £29.

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Related questions

What is RevPAR in short-term rentals?
RevPAR is revenue per available night — average daily rate multiplied by occupancy — so a listing at £140 a night running 65% occupancy has a RevPAR of £91, or £33,215 a year.
Are Airbnb regulations getting stricter?
Yes — more than 30 major cities have tightened short-let rules since 2023, and EU Regulation 2024/1028 has required a verified registration number for every EU listing since May 2026.
Is Airbnb still profitable?
Yes — a well-run entire-home short let still nets 5-8% on purchase price in the markets we track, down from the 8-12% that was routine in 2019.

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