Is Airbnb cheaper than a hotel in Park City (UT)?
Yes: in Park City (UT), Airbnb homes asked a median $320 a night against $1 792 for hotels on Agoda, 82% less (latest scan 26 October 2026; priced on a typical night: Airbnb homes 94, hotels on Agoda 165). Nights measured on both sides: 70, from 13 November 2026 to 23 January 2027, read on 26 October 2026.
Measured by Bed&Market (bedandmarket.com) from 208 places checked, read 26 October 2026 01:29 UTC.
Updated
Hotels and apartments side by side
On a typical night in Park City (UT), the middle half of asking prices ran from $784 to $3 346 for hotels on Agoda and from $270 to $444 for Airbnb homes.
| Places | Median asking price | Lower quarter (p25) | Upper quarter (p75) | With a price, typical night | Nights |
|---|---|---|---|---|---|
| Hotels on Agoda | $1 792 | $784 | $3 346 | 165 | 70 |
| Airbnb homes | $320 | $270 | $444 | 94 | 70 |
| All places pooled | $659 | $346 | $2 112 | 264 | 70 |
Each night's figure is the median (or quarter) of that night's asking prices for one night; each figure here is the median of those nights. The pooled row puts every asking price of a night into one list.
Friday and Saturday nights on each side
Friday and Saturday nights in Park City (UT) against Monday to Thursday: +20% for hotels on Agoda and +16% for Airbnb homes.
| Places | Friday + Saturday | Monday – Thursday | Weekend against Mon–Thu | Fri + Sat nights | Mon–Thu nights |
|---|---|---|---|---|---|
| Hotels on Agoda | $2 142 | $1 792 | +20% | 20 | 40 |
| Airbnb homes | $372 | $320 | +16% | 20 | 40 |
Medians of the nightly medians; Sunday nights sit in neither group.
Month by month
The gap in Park City (UT) was widest in January 2027: $395 for Airbnb homes against $2 152 for hotels on Agoda, 82% less.
| Month | Hotels on Agoda | Airbnb homes | Difference | Nights | Latest scan |
|---|---|---|---|---|---|
| November 2026 | $758 | $244 | -68% | 30 | 26 October 2026 |
| December 2026 | $1 674 | $314 | -81% | 31 | 26 October 2026 |
| January 2027 | $2 152 | $395 | -82% | 22 | 26 October 2026 |
Each month is the median of its nightly medians over the nights read on both sides; the month links to its own page.
On event and holiday nights
On 25 December 2026 in Park City (UT) (Christmas Day), Airbnb homes asked a median $581 against $3 494 for hotels on Agoda, 83% less.
| Night | Event or holiday | Hotels on Agoda | Airbnb homes | Difference | With a price: hotels / Airbnb |
|---|---|---|---|---|---|
| 26 November 2026 | Thanksgiving Day | $793 | $267 | -66% | 190 / 101 |
| 25 December 2026 | Christmas Day | $3 494 | $581 | -83% | 99 / 93 |
| 18 January 2027 | Martin Luther King Jr. Day | $1 792 | $395 | -78% | 126 / 98 |
Each event is printed beside the night it fell on; the prices are that night's asking prices and do not say what moved them.
What counts as a hotel and an apartment here
Places with a price on a typical night in Park City (UT): 264 in all, 165 on Agoda and 94 on Airbnb.
- Airbnb homes: the listings Airbnb's search showed with a price for one night for 2 guests, whole apartments, B&Bs and private rooms alike.
- Hotels on Agoda: every place Agoda's search showed with a price for one night for 2 adults: hotels, guesthouses, hostels and the apartments Agoda itself lists.
- A listing missing from a night's Airbnb search is unknown that night, not sold out.
- The two sites may count fees and taxes differently; each figure is the price its search showed.
What was measured
Nights measured in Park City (UT) on both sides: 70, from 13 November 2026 to 23 January 2027; each with at least 30 places showing a price on Agoda.
- Up to 208 places checked per night on Agoda; a place with no price that night (sold out or closed) is counted but carries no price.
- Prices in USD, as shown on the day each night was read on Agoda, on 26 October 2026.
- Asking prices seen while searching for one night: not prices paid, and not a forecast.
- Airbnb nights read on 26 October 2026.
Source: asking prices for one night, read from public search results on the scan date; not prices paid, and not a forecast. How we measure →