New York hotel rates, month by month
| Month | Avg. nightly rate | vs. New York average |
|---|---|---|
| Jan | $196 | -42% |
| Feb | $202 | -40% |
| Mar | $277 | -18% |
| Apr | $335 | 0% |
| May | $372 | +11% |
| Jun | $327 | -3% |
| Jul | $268 | -20% |
| Aug | $273 | -19% |
| Sep | $458 | +36% |
| Oct | $429 | +28% |
| Nov | $352 | +5% |
| Dec | $541 | +61% |
What the curve means for planners
In New York, the month on the booking is a budget decision. Rates swing 64% between the cheapest and priciest months, one of the wider gaps in the 50 markets we measured.
January is the floor at $196 a night, 42% below the $336 average, while December peaks at $541, 61% above it.
If the destination is fixed but the dates are not, this is the market where it pays to schedule around the curve. Moving a multi-night group stay out of December changes the total more than most rate negotiations will.
Why do hotel prices in New York, NY move this way?
The pattern below is measured. The explanation is our read of it.
The September surge matches UN General Assembly week and the start of fall conference season, almost certainly the drivers, and the December peak looks like the holiday season doing what it always does to Manhattan. The January and February floor reads as the recovery from both. New York's swing is less about weather than about the density of its calendar.
How New York compares
At $336 a night, New York, NY ranks 1 of 50 major U.S. markets by average hotel rate, 127% above the $148 median of the 50 markets in this dataset.
| Similar-priced market | Avg. nightly rate | Rank of 50 |
|---|---|---|
| Boston, MA | $311 | 2 |
| Washington, D.C. | $252 | 3 |
| Chicago, IL | $233 | 4 |
Questions people ask
How much does a hotel cost in New York?
Hotels in New York, NY average $336 per night, based on 11.1M publicly available rates observed in searches on Engine between May 2024 and April 2026. These are par rates, meaning the cheapest public price offered at the time of each search, not negotiated or booked rates. Monthly averages range from $196 in January to $541 in December.
What is the cheapest month for hotels in New York?
January is the cheapest month for hotels in New York, NY, averaging $196 per night, which is 42% below the city's $336 average.
What is the most expensive month for hotels in New York?
December is the most expensive month for hotels in New York, NY, averaging $541 per night, 61% above the city's $336 average.
When should I book a hotel in New York?
The rates on this page are advance-purchase public rates, observed in searches made 10 to 180 days before check-in, so the bigger lever is which month you stay rather than how far ahead you book. For New York, NY, that means aiming for January and avoiding December when dates are flexible. Our full study, Every City Has a Season, covers how timing plays out across all 50 markets.
This page is one market from a 50-city study of how hotel prices move through the year.
How we did this
The figures on this page come from the 128,536,941 hotel prices that business travelers saw when searching on Engine, a platform companies use to book work trips, across 50 U.S. markets over roughly two years (May 2024 to April 2026).
What we measured. Every data point is a par rate, meaning the cheapest publicly available nightly rate a hotel offered at the moment of a live search. These are the prices companies see while planning a trip, not Engine's negotiated rates and not the prices ultimately booked. Real corporate rates typically sit below what is shown here.
Whose trips we looked at. We focused on planned travel and included only searches made 10 to 180 days before check-in, limited to business accounts, with internal, test, and promotional activity excluded.
A few caveats. These are advertised rates, not final booked prices. Monthly figures pool multiple years to smooth year-to-year noise, so an unusually large one-off event can occasionally push a single city-month higher than a typical year.
Data analysis by Jack Swiatoschik. Written by Alec Hollingsworth. Reviewed by Engine's data team.