Is Airbnb cheaper than a hotel in Houston (TX)?
Yes: in Houston (TX), Airbnb homes asked a median $103 a night against $115 for hotels on Agoda, 10% less (latest scan 7 November 2026; priced on a typical night: Airbnb homes 87, hotels on Agoda 199). Nights measured on both sides: 84, from 13 November 2026 to 4 February 2027, read on 7 November 2026.
Measured by Bed&Market (bedandmarket.com) from 208 places checked, read 7 November 2026 16:23 UTC.
Updated
Hotels and apartments side by side
On a typical night in Houston (TX), the middle half of asking prices ran from $89 to $161 for hotels on Agoda and from $81 to $136 for Airbnb homes.
| Places | Median asking price | Lower quarter (p25) | Upper quarter (p75) | With a price, typical night | Nights |
|---|---|---|---|---|---|
| Hotels on Agoda | $115 | $89 | $161 | 199 | 84 |
| Airbnb homes | $103 | $81 | $136 | 87 | 84 |
| All places pooled | $112 | $86 | $154 | 287 | 84 |
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 Houston (TX) against Monday to Thursday: +3% for hotels on Agoda and +15% for Airbnb homes.
| Places | Friday + Saturday | Monday – Thursday | Weekend against Mon–Thu | Fri + Sat nights | Mon–Thu nights |
|---|---|---|---|---|---|
| Hotels on Agoda | $118 | $115 | +3% | 24 | 48 |
| Airbnb homes | $117 | $102 | +15% | 24 | 48 |
Medians of the nightly medians; Sunday nights sit in neither group.
Month by month
The gap in Houston (TX) was widest in January 2027: $106 for Airbnb homes against $120 for hotels on Agoda, 12% less.
| Month | Hotels on Agoda | Airbnb homes | Difference | Nights | Latest scan |
|---|---|---|---|---|---|
| November 2026 | $111 | $102 | -8% | 24 | 7 November 2026 |
| December 2026 | $112 | $103 | -8% | 31 | 7 November 2026 |
| January 2027 | $120 | $106 | -12% | 31 | 7 November 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 1 January 2027 in Houston (TX) (New Year's Day), Airbnb homes asked a median $135 against $118 for hotels on Agoda, 14% more.
| Night | Event or holiday | Hotels on Agoda | Airbnb homes | Difference | With a price: hotels / Airbnb |
|---|---|---|---|---|---|
| 26 November 2026 | Thanksgiving Day | $113 | $103 | -9% | 199 / 88 |
| 25 December 2026 | Christmas Day | $113 | $122 | +8% | 200 / 80 |
| 1 January 2027 | New Year's Day | $118 | $135 | +14% | 197 / 87 |
| 18 January 2027 | Martin Luther King Jr. Day | $128 | $96 | -25% | 200 / 83 |
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 Houston (TX): 287 in all, 199 on Agoda and 87 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 Houston (TX) on both sides: 84, from 13 November 2026 to 4 February 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 7 November 2026.
- Asking prices seen while searching for one night: not prices paid, and not a forecast.
- Airbnb nights read on 7 November 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 →