New Orleans edges ahead of Santa Clara County on higher occupancy (60% vs 36%), stronger RevPAR (£47 vs £17).
Head-to-head metrics
| New Orleans | Santa Clara County | |
|---|---|---|
| Median occupancy | 60% | 36% |
| Median daily rate | £103 | £90 |
| Median RevPAR | £47 | £17 |
| Active listings | 4,939 | 4,277 |
| YoY occupancy | — | +17.9 pts |
| YoY daily rate | — | +3.6% |
| Regulation risk | — | — |
| Annual night cap | None | None |
| License required | No | No |
Full analysis: New Orleans vs Santa Clara County
On the money side of this comparison — what a listing actually earns against the nights it has available — New Orleans finishes decisively ahead of Santa Clara County. Revenue per available night — rate and occupancy combined, the figure that actually reaches an owner — is 177.5% higher in New Orleans: £47 against £17. New Orleans sells 24 more points of its calendar — 60% median occupancy against 36% in Santa Clara County. That is not a rounding difference, and it compounds over a hold period.
New Orleans takes both halves of the yield equation, which is less common than it sounds. It charges more per night — £103 against £90 — and still fills more of the year, 60% against 36%. A market that leads on price and utilisation at once is normally one where demand has outrun supply, rather than one where hosts are discounting to keep the calendar busy. RevPAR reflects the double advantage at £47 against £17.
That verdict needs a caveat, because Santa Clara County is not simply the weaker market of the two. Santa Clara County sits at the cheaper end at £90 a night against £103, which lowers the bar for filling shoulder-season dates and usually tracks a lower purchase price too. Its strongest submarket, Saratoga, clears £47 RevPAR on its own — city medians hide that kind of spread. If your model leans on nightly rate rather than volume, the ordering above can reasonably flip.
Neither New Orleans nor Santa Clara County currently has a verified short-term rental regulation record in our register, so the comparison above is a yield comparison only. Regulation is the single largest source of downside in this asset class — an unverified market is an unpriced risk, not an absent one.
The two calendars also behave differently. New Orleans peaks in August at 52.2% and bottoms in December at 29.9%; Santa Clara County runs from 53.5% in November down to 35% in April. Santa Clara County is the steadier of the two at 18.5 points peak-to-trough against 22.3 — easier to underwrite against a mortgage — while New Orleans concentrates its return into a shorter window and rewards operators who price the peak aggressively instead of holding a flat rate all year.
Who each suits, then. New Orleans suits buyers who want a conventional, lightly regulated entry. Santa Clara County answers to the same regulatory profile, so the split between them is operational rather than legal. Every figure above comes from the same Inside Airbnb snapshot pipeline on both sides, filtered to listings with at least one booking in the last twelve months. Occupancy medians are drawn from 1,475 active New Orleans listings and 2,801 in Santa Clara County.
Frequently asked questions
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