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Blog › 2026-10-06

Ryokan were about half as full as city hotels in 2025: occupancy by prefecture and month

By Japan Off-Peak (TechAthletes) · 2026-10-06 · Data: Japan Tourism Agency, counted by us (method)

At national level, it's already known that Japan's traditional inns fill fewer of their rooms than city hotels. HotelBank reported this from the agency's preliminary 2025 figures. What we haven't found laid out in English is how that gap looks in each of the 47 prefectures, and in which months each prefecture's ryokan are fullest and emptiest. That's what this article adds, from the confirmed 2025 figures.

The headline numbers

The Japan Tourism Agency publishes room occupancy by type of lodging: the share of rooms that were actually used over the month. For Japan as a whole, 2025 looked like this:

We checked all 47 prefectures. In none of them did ryokan occupancy for the year exceed city-hotel occupancy. The gap was largest in Saitama (21.1% against 78.2%), Nagano (27.2% against 76.1%) and Aichi (30.8% against 72.4%), with Fukuoka close behind (31.3% against 72.4%).

Month by month, nationally

Month Ryokan City hotels Small lodgings
Jan 33.0% 66.9% 25.1%
Feb 36.6% 71.8% 27.1%
Mar 38.2% 73.9% 28.6%
Apr 35.3% 76.1% 27.7%
May 38.5% 75.0% 29.7%
Jun 35.0% 72.5% 28.2%
Jul 37.2% 71.6% 32.8%
Aug 45.7% 75.3% 39.1%
Sep 38.8% 75.6% 30.5%
Oct 41.8% 80.3% 30.9%
Nov 42.1% 77.6% 29.4%
Dec 35.1% 72.9% 24.5%
Year 38.2% 74.1% 29.6%

Three patterns stand out:

Prefecture by prefecture

Annual occupancy for ryokan and city hotels, with the months when ryokan were least and most full. Where two months tie exactly, both are shown.

Use it to pick months: a prefecture's lowest ryokan month is when inns there had the most free rooms on average. Its highest month is when inns there were busiest on average.

Prefecture Ryokan (year) City hotels (year) Ryokan's lowest month Ryokan's highest month
Hokkaido 43.9% 74.5% Apr (29.6%) Jul (56.3%)
Aomori 41.8% 60.4% Jan (26.0%) Oct (57.2%)
Iwate 36.8% 68.9% Dec (28.5%) Aug and Oct (47.0%)
Miyagi 46.7% 68.9% Jan (37.0%) Oct and Nov (55.5%)
Akita 36.2% 49.7% Dec (23.9%) Oct (51.6%)
Yamagata 40.2% 58.2% Apr (29.5%) Aug (51.9%)
Fukushima 37.1% 46.8% Jan (27.5%) Oct (45.8%)
Ibaraki 33.2% 66.6% Jan (26.0%) Aug (48.9%)
Tochigi 44.9% 67.5% Jan (34.5%) Nov (57.2%)
Gunma 45.9% 53.6% Dec (37.5%) Aug (52.9%)
Saitama 21.1% 78.2% Dec (16.8%) Apr (25.8%)
Chiba 42.6% 77.0% Apr (32.1%) Aug (54.2%)
Tokyo 41.7% 77.2% Feb (36.2%) Aug (53.6%)
Kanagawa 49.0% 73.0% Jul (41.9%) Nov (56.6%)
Niigata 28.4% 62.3% Apr (22.3%) Aug (35.5%)
Toyama 33.6% 71.0% Jan (24.2%) Aug (43.4%)
Ishikawa 35.2% 69.7% Feb (26.9%) Nov (43.9%)
Fukui 26.8% 56.0% Jan (18.1%) Aug (40.1%)
Yamanashi 34.4% 50.2% Jan (26.1%) Aug (50.3%)
Nagano 27.2% 76.1% Jun (22.3%) Aug (38.7%)
Gifu 41.5% 66.7% Jun (34.5%) Aug (53.4%)
Shizuoka 42.4% 68.3% Jun (35.6%) Mar (50.6%)
Aichi 30.8% 72.4% Jun (25.3%) Aug (39.2%)
Mie 39.8% 73.1% Jun (32.2%) Nov (51.7%)
Shiga 36.5% 72.4% Jun (30.3%) Oct (43.9%)
Kyoto 41.7% 77.5% Jan (27.9%) Oct (53.9%)
Osaka 49.0% 79.4% Jul (40.8%) Mar (58.2%)
Hyogo 40.0% 72.2% Jun (33.0%) Nov (51.6%)
Nara 33.4% 69.0% Feb (21.8%) Nov (44.5%)
Wakayama 36.7% 68.4% Dec (27.5%) May (43.8%)
Tottori 45.3% 67.1% Jan (35.4%) Nov (53.4%)
Shimane 41.2% 68.8% Jan (27.0%) Nov (55.7%)
Okayama 21.2% 60.5% Jan (15.8%) Aug (28.4%)
Hiroshima 35.0% 73.8% Jan (23.5%) Nov (46.3%)
Yamaguchi 42.1% 60.2% Jun (34.7%) Nov (49.1%)
Tokushima 26.9% 55.9% Jun (18.4%) Nov (32.6%)
Kagawa 54.0% 78.0% Jan and Dec (45.3%) Nov (65.1%)
Ehime 48.0% 62.8% Jun (36.7%) Nov (58.0%)
Kochi 36.0% 70.8% Jan (20.7%) Nov (48.0%)
Fukuoka 31.3% 72.4% Jun (23.6%) Oct (36.5%)
Saga 37.7% 69.4% Jul (25.0%) Mar (47.6%)
Nagasaki 39.8% 72.1% Jan (29.3%) Aug (47.3%)
Kumamoto 41.9% 77.2% Jun (32.9%) Nov (48.6%)
Oita 43.3% 71.0% Jul (28.7%) Mar (52.9%)
Miyazaki 43.1% 58.6% Jun (28.2%) Nov (57.2%)
Kagoshima 35.7% 60.1% Jul (27.1%) Nov (43.9%)
Okinawa 43.6% 68.2% Dec (21.0%) Sep (55.0%)

A few examples from the table:

What this means for travellers

Why ryokan occupancy is so low

The statistics don't explain the reasons, so treat these as possibilities rather than findings:

What this data can't tell you

Sources and method

More on the method page.

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