Bali villa occupancy rates.
The input that can fake ROI.
Occupancy is the easiest way to make a Bali villa spreadsheet look better than the investment really is. Change the booked-night assumption, and the ROI changes instantly. Buyers need to know whether occupancy is supported by the area, the rate, the villa quality, and the management plan before trusting the number.
Occupancy moves revenue before any other cost is counted.
Bali villa ROI starts with annual rental revenue. That revenue is usually nightly rate multiplied by occupied nights. If the occupancy assumption is too high, every number after it is too high: gross yield, net income, payback period, and the price a buyer thinks they can afford.
The trap is that occupancy sounds precise even when it is only a sales assumption. A seller can say 75% or 80% occupancy, but the buyer still needs to know whether that came from actual owner statements, a channel-manager export, comparable villas, a manager projection, or hope. BVT treats occupancy as a stress-test input, not a promise.
Start with the Bali villa ROI guide for the full net-yield formula, then use this page to pressure-test the demand side of the calculation.
Area demand is a proxy. Property history is proof.
BVT uses area-level occupancy assumptions to compare more than 2,000 audited listings consistently. The public model uses market demand signals, including Booking.com review-density patterns by area, then applies the same logic across listings so buyers can compare one villa against another without accepting every seller's custom forecast.
That is useful for screening. It is not the same as verified booking history for a specific villa. Before an offer, buyers should ask for monthly booking exports, owner statements, average daily rate, platform mix, direct-booking share, cancellation history, review count, review score, low-season discounting, and any periods blocked for owner use.
BVT occupancy estimate = useful for comparing listings at scale. Property booking records = needed before relying on a specific deal.
BVT publishes the screening estimate, then asks buyers to verify it.
These are the current BVT public screening estimates used for area-level comparison. They are rounded to the nearest whole percent and come from the review-density model in the rate engine, except where an area falls back to the flat default. They are not a claim that any specific villa will book that percentage of nights.
| Area | BVT screening estimate | Source label | Sample note |
|---|---|---|---|
| Canggu | 41% | Review-density model | 75-property sample |
| Berawa | 41% | Review-density model | 75-property sample |
| Pererenan | 49% | Review-density model | 75-property sample |
| Uluwatu | 42% | Review-density model | 75-property sample |
| Bingin | 65% | Flat fallback | No exact Bingin review model yet |
| Seminyak | 42% | Review-density model | 75-property sample |
| Ubud | 41% | Review-density model | 75-property sample |
| Sanur | 80% | Review-density model ceiling | 75-property sample |
| Ungasan | 42% | Review-density model | 30-property sample |
| Nusa Dua | 51% | Review-density model | 75-property sample |
Sanur currently sits at the model ceiling because its sampled review density is much higher than the other tracked areas. Bingin is the opposite kind of caution: the current exact-area model falls back to the default, so property-level booking records matter even more there.
The same occupancy number means different things in different markets.
A villa in Canggu, Uluwatu, Sanur, and Ubud can all show the same occupancy assumption and still carry very different risk. Entry price, seasonality, road access, view quality, construction noise, competition, and guest profile all change how durable that occupancy is.
These areas have strong rental demand, but buyers pay for that demand through higher land and villa prices. A high occupancy assumption does not automatically create a strong net yield.
Bukit villas can command strong nightly rates, but occupancy can swing with season, beach access, view quality, construction disruption, and off-plan delivery risk.
These markets can be steadier, but mature areas also have entrenched competition. The right question is not only occupancy, but occupancy at what rate and at what cost.
Ubud occupancy is harder to judge from bedroom count alone. View, wellness positioning, access, quiet, and operating quality can matter as much as the villa size.
Use the location hubs to compare asking price, lease years, and net yield inside each market: Canggu, Uluwatu, Seminyak, Ubud, Sanur, and Nusa Dua.
Do not ask whether occupancy is high. Ask what happens when it is wrong.
A serious Bali villa model should show more than one occupancy case. Buyers should test base, downside, and upside assumptions. If a villa only works at a perfect occupancy number, the price is carrying no margin of safety. If it still looks reasonable after lower occupancy, higher costs, and lease decay, the deal deserves more attention.
BVT listing pages include sensitivity tables so buyers can see how net yield changes when occupancy and nightly rate move. That matters because occupancy and rate often trade off. Discounting may fill the calendar, but it may not improve owner net income after fees, cleaning, utilities, and maintenance.
Pair occupancy testing with the management fees guide and the leasehold vs freehold ROI guide. Revenue, expenses, and lease decay need to survive together.
Ask for the records that make occupancy real.
Before deposit, request the source behind any occupancy claim. Useful records include channel-manager exports, Airbnb and Booking.com payout history, owner statements, cleaning logs, calendar screenshots with blocked nights separated from paid nights, tax records where available, review history, and the management agreement that produced the numbers.
Then check whether the claimed occupancy depended on unusually low rates, owner friends, long stays, free nights, heavy discounts, or a launch-period promotion. A stable villa should not need a perfect story to produce a workable net yield.
Use the Bali villa due diligence checklist to turn those questions into an offer process.
Common occupancy questions.
What occupancy rate should I assume for a Bali villa?
Do not use one island-wide number. Start with the area, villa type, nightly rate, seasonality, and management plan. BVT uses area-level occupancy assumptions as a screening model, then expects buyers to verify property-level booking history before offer.
Is 80% occupancy realistic in Bali?
It can be realistic for some well-located, professionally operated villas, but it should not be treated as a default. At 80% occupancy the villa also needs enough nightly rate and margin after costs to justify the asking price.
Why does occupancy matter so much for ROI?
Occupancy multiplies nightly rate. A small change in occupancy can move annual gross revenue sharply, which then changes net yield after management, booking costs, maintenance, utilities, and lease decay.
Can a lower-occupancy villa still be a better investment?
Yes. A lower-occupancy villa can win if it has a lower purchase price, stronger nightly rate, better lease terms, lower capex risk, or a more realistic operating plan.