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Hotel Category Mix Explains Half of City ADR: 34 Municipalities

Posted: 2026.08.19

Area & Property Analysis

Even when it is all called one “lodging market,” what is actually inside a city differs completely from place to place. In some cities business hotels account for 80% of the rooms; in others ryokan and resort hotels together account for 80%. And a city’s average rate can be explained to a considerable degree by that composition.

This article breaks down 34 municipalities selected from 13 major prefectures — 6,678 properties and 504,791 rooms — by property category, and quantifies the relationship between category composition (the mix) and lodging rates. It also shows how the same “share” figures paint an entirely different picture of a city depending on whether you count properties or rooms.

Key Takeaways
  • — The largest segment on a room-count basis is business hotels at 59.3%. Small-scale lodging such as simple accommodations — the largest segment on a property-count basis at 33.4% — accounts for only 3.3% of rooms.
  • — The correlation between the room share of the three high-rate categories (deluxe, resort, ryokan) and estimated transaction ADR is +0.688 (R²=0.474, n=34). Roughly half of a city’s rate level can be explained by its category mix.
  • — The data shows that for every 10-point gain in the room share of the three high-rate categories, estimated transaction ADR rises by about ¥1,000.
  • — Even within the same business-hotel category, listed prices span 2.8x, from ¥39,500 in Shibuya to ¥14,200 in Narita. Outside the mix, location, specification and pricing practice all leave room to grow.
  • — The higher a category’s rate, the lower its room occupancy (ryokan 38.4% vs business hotels 75.3%, 2025 annual figures). Revenue profiles have to be read as a combination of rate and occupancy.

Metric Definitions Used in This Article

  • ADR (average daily rate): An estimated transaction rate (tax-exclusive equivalent) calculated by applying category-specific adjustment factors to the lowest published plan level each property lists on OTAs and similar channels (two guests per room, per-room price, tax-inclusive). Against property-level results disclosed by listed hotel REITs (184 property-months, April–May 2026), the median error is 7.5%. These are estimates and differ from each property’s actual transaction prices and accounting figures. Area-level ADR is the median of the covered properties (the level of a typical property in the area). This article refers to it as “estimated transaction ADR.”
  • Listed price: The average of all plans published on OTAs and similar channels (two guests per room, per-room price, tax-inclusive, from room-only through meal-inclusive). Because it is measured on a different basis from estimated transaction ADR, the two cannot be added to or subtracted from each other directly. Across the 34 municipalities in this article, listed prices sit at roughly 1.9x the median estimated transaction ADR.
  • Property categories: Seven categories — business hotel, city hotel, deluxe hotel, resort hotel, ryokan, capsule/hostel, and small-scale lodging such as simple accommodations (rental villas, guesthouses, minshuku, pensions and the like).
  • Population:Among lodging properties in Japan tracked by MetroEngines Research, those confirmed active on OTAs and similar channels in early June 2026. The 34 municipalities covered contain 6,678 properties and 504,791 rooms. Both the property-count and room-count composition ratios are calculated from this same population.
  • Data source: MetroEngines Research

Counting Properties or Counting Rooms — The Same City Has Two Faces

The first thing worth settling is how category composition is counted. Summed across the 34 municipalities, the largest segment by property count is small-scale lodging such as simple accommodations at 33.4%, followed by business hotels at 32.6% and capsule/hostels at 15.6%. Judging by property counts alone, the lodging markets of Japan’s major cities look as though small properties make up the majority.

Recount by rooms, however, and the order reverses completely. Business hotels dominate at 59.3%, followed by city hotels at 16.8%, resort hotels at 6.5%, capsule/hostels at 6.0%, deluxe hotels at 5.8%, small-scale lodging at 3.3% and ryokan at 2.4%. Small-scale lodging, which held 33.4% by property count, shrinks to a tenth of that on a room basis.

Source: MetroEngines Research; compiled by the HotelBank Editorial Team

What creates the gap is average rooms per property. City hotels average 268 rooms and deluxe hotels 222, against 137 for business hotels, while resort hotels have 108, capsule/hostels 29, ryokan 26, and small-scale lodging just 7. Gather 100 properties with 7 rooms each and you still have only the equivalent of three city hotels.

Source: MetroEngines Research; compiled by the HotelBank Editorial Team

In other words, “property share” describes the lineup of operators present in a city, while “room share” describes the lodging capacity the city can supply. Room-count figures suit any discussion of how demand is absorbed; property-count figures suit discussion of the local operator base and new entry. From here on, this article uses the room-count basis wherever the relationship with rates is examined.

Category Mix Across 34 Municipalities — Ranked by Estimated Transaction ADR

Next, the room-count category mix of each of the 34 municipalities, ordered by June 2026 estimated transaction ADR from high to low. A clean hierarchy emerges: the higher a city ranks, the thicker the colours on the right (resort and ryokan); the lower it ranks, the thicker the business-hotel band on the left.

Source: MetroEngines Research; compiled by the HotelBank Editorial Team

At the top, Hakone has ryokan at 62.2% of rooms and resort hotels at 18.9% — 81.1% between them — with an estimated transaction ADR of ¥22,700. Onna Village (Okinawa) follows with resort hotels at 92.7% and ¥20,100, then Atami with resorts at 42.5% and ryokan at 40.5% at ¥19,400. The rate hierarchy within Kanagawa Prefecture, Hakone included, is set out area by area in Kanagawa Hotel Market 2026: Four Tiers and a ¥15,400 Autumn ADR Gap.

At the other end, cities built around business demand dominate. Narita has an airport-type composition with city hotels at 61.0% of rooms and ¥7,700; Nagoya’s Naka Ward has business hotels at 80.2% and ¥8,300; Hiroshima’s Naka Ward 67.9% and ¥8,000. Osaka’s Kita Ward is at ¥8,800 and Sendai’s Aoba Ward at ¥8,500 — in every case business and city hotels together make up roughly 80% of rooms.

The full list of 34 municipalities follows. “Small-scale” is the sum of capsule/hostels and simple accommodations and similar properties.

Room-count category mix and estimated transaction ADR across 34 municipalities (as of June 2026; 6,678 properties, 504,791 rooms)
MunicipalityPropertiesRoomsAvg. size BusinessCityDeluxeResortRyokanSmall-scale Est. transaction ADR
Hakone(Kanagawa) 354 6,954 20 rooms 2% 3% 3% 19% 62% 12% ¥22,700
Shibuya(Tokyo) 91 7,182 79 rooms 54% 15% 16% 0% 0% 16% ¥21,300
Onna(Okinawa) 154 5,851 38 rooms 0% 0% 0% 93% 0% 6% ¥20,100
Atami(Shizuoka) 248 5,938 24 rooms 5% 1% 1% 42% 40% 10% ¥19,400
Urayasu(Chiba) 42 13,381 319 rooms 10% 19% 28% 42% 0% 0% ¥18,800
Kyoto Higashiyama(Kyoto) 308 5,118 17 rooms 16% 22% 22% 4% 3% 32% ¥17,500
Ito(Shizuoka) 404 5,095 13 rooms 2% 4% 0% 39% 28% 26% ¥15,900
Chuo(Tokyo) 204 27,860 137 rooms 76% 15% 4% 0% 0% 6% ¥15,700
Minato(Tokyo) 196 32,185 164 rooms 48% 33% 13% 0% 0% 6% ¥15,000
Sapporo Chuo(Hokkaido) 217 27,895 129 rooms 60% 27% 1% 1% 1% 9% ¥13,800
Miyakojima(Okinawa) 279 6,090 22 rooms 22% 0% 0% 57% 0% 20% ¥13,500
Fukuoka Chuo(Fukuoka) 173 13,925 80 rooms 69% 20% 0% 0% 0% 11% ¥13,400
Chiyoda(Tokyo) 119 18,351 154 rooms 57% 21% 15% 0% 0% 7% ¥13,200
Shinjuku(Tokyo) 228 22,457 98 rooms 57% 15% 15% 0% 0% 12% ¥12,900
Fukuoka Hakata(Fukuoka) 311 25,318 81 rooms 82% 8% 0% 0% 0% 10% ¥12,800
Taito(Tokyo) 385 24,275 63 rooms 77% 1% 1% 0% 1% 20% ¥12,000
Kyoto Nakagyo(Kyoto) 287 13,328 46 rooms 61% 18% 7% 1% 2% 11% ¥11,300
Ishigaki(Okinawa) 276 5,658 20 rooms 28% 0% 2% 49% 1% 21% ¥11,300
Kobe Chuo(Hyogo) 82 11,993 146 rooms 59% 34% 0% 2% 1% 4% ¥11,100
Kyoto Shimogyo(Kyoto) 456 21,714 48 rooms 62% 20% 4% 1% 3% 10% ¥11,100
Toshima(Tokyo) 127 11,802 93 rooms 67% 18% 0% 0% 0% 14% ¥10,300
Yokohama Naka(Kanagawa) 80 12,528 157 rooms 61% 12% 1% 20% 0% 6% ¥10,200
Kyoto Minami(Kyoto) 189 10,664 56 rooms 75% 17% 0% 1% 0% 7% ¥10,000
Naha(Okinawa) 290 22,584 78 rooms 56% 13% 1% 16% 0% 14% ¥9,600
Osaka Naniwa(Osaka) 107 11,139 104 rooms 72% 14% 0% 0% 0% 15% ¥9,400
Nagoya Nakamura(Aichi) 93 12,386 133 rooms 84% 7% 6% 0% 0% 3% ¥9,300
Osaka Chuo(Osaka) 279 38,301 137 rooms 69% 14% 8% 1% 0% 8% ¥9,300
Hakodate(Hokkaido) 167 9,763 58 rooms 55% 11% 1% 12% 17% 4% ¥9,000
Asahikawa(Hokkaido) 82 4,675 57 rooms 73% 14% 0% 5% 2% 5% ¥8,900
Osaka Kita(Osaka) 101 21,201 210 rooms 57% 23% 16% 0% 0% 4% ¥8,800
Sendai Aoba(Miyagi) 84 11,579 138 rooms 74% 15% 2% 3% 1% 4% ¥8,500
Nagoya Naka(Aichi) 106 18,131 171 rooms 80% 10% 6% 0% 0% 4% ¥8,300
Hiroshima Naka(Hiroshima) 118 10,481 89 rooms 68% 20% 0% 0% 0% 12% ¥8,000
Narita(Chiba) 41 8,989 219 rooms 35% 61% 0% 0% 1% 3% ¥7,700

Source: MetroEngines Research; compiled by the HotelBank Editorial Team (as of June 2026; 6,678 properties and 504,791 rooms covered)

How Far Does the Mix Explain Rates?

Now to the core question: how much of a city’s rate level can its category mix explain? Summing the room shares of the three high-rate categories — deluxe hotels, resort hotels and ryokan — and plotting that on the horizontal axis against estimated transaction ADR gives the following.

Source: MetroEngines Research; compiled by the HotelBank Editorial Team

Across the 34 municipalities the correlation coefficient is +0.688 and the coefficient of determination R²=0.474 (n=34; the 95% confidence interval for the correlation is +0.46 to +0.83). For every 10-point gain in the room share of the three high-rate categories, estimated transaction ADR rises by roughly ¥1,000. Conversely, the correlation between business-hotel room share and estimated transaction ADR is -0.687. Put another way, close to half of a city’s rate level is set by what kind of properties have been built there.

The other half is explained by something else. The clearest outlier above the regression line is Shibuya: its three high-rate categories hold only 15.6% of rooms, yet its estimated transaction ADR of ¥21,300 ranks second among the 34 municipalities. Business-hotel-category properties hold 53.5% of its rooms, and their average listed price of ¥39,500 is the highest of all 34. It is a textbook case of location itself lifting rates.

Urayasu is distinctive too. Deluxe hotels at 28.0% and resort hotels at 42.5% put high-rate categories at 70% of rooms, and it averages 319 rooms per property — a market built on large properties. Clear destination pull from theme-park demand makes large scale and high rates coexist in a way that is hard to achieve elsewhere.

2.8x Within a Single Category — The Upside Outside the Mix

Now to look more concretely at what the mix cannot explain. Taking only the business-hotel category and comparing within-category listed prices (average of all plans, tax-inclusive) by municipality gives the chart below. Coverage is the 30 municipalities with at least 10 properties in the category.

Source: MetroEngines Research; compiled by the HotelBank Editorial Team

Shibuya tops the list at ¥39,500 and Narita sits at the bottom at ¥14,200 — a 2.8x spread inside the single label “business hotel.” Tokyo’s Chuo Ward at ¥30,200, Minato at ¥27,800, Kyoto’s Higashiyama Ward at ¥27,300 and Taito at ¥26,400 fill the upper ranks: central Tokyo and tourism hubs.

This gap is independent of a city’s category mix. Even among properties in the same category, scarcity of location, room specification, ancillary services such as breakfast, and pricing practice all change the price band a property can reach. If the mix sets the skeleton of a city’s rate level, within-category price position is the upside stacked on top of it. How far pricing can be moved within a single category also shows up in day-of-week price gaps, and Weekend Premium 2026: Tokyo Business 24% vs Hakone Ryokan 10% examines the distribution at the property level.

Listed prices in the business-hotel category by municipality (early June 2026; 30 municipalities with 10 or more properties in the category)
MunicipalityProperties coveredBusiness-hotel listed priceCategory room share
Shibuya27 properties¥39,50054%
Chuo135 properties¥30,20076%
Minato101 properties¥27,80048%
Kyoto Higashiyama26 properties¥27,30016%
Taito183 properties¥26,40077%
Urayasu12 properties¥26,30010%
Shinjuku91 properties¥26,00057%
Chiyoda68 properties¥24,10057%
Fukuoka Hakata141 properties¥23,80082%
Kyoto Nakagyo88 properties¥23,40061%
Fukuoka Chuo76 properties¥23,40069%
Kyoto Shimogyo130 properties¥22,10062%
Kyoto Minami52 properties¥20,70075%
Toshima58 properties¥20,60067%
Yokohama Naka46 properties¥19,90061%
Osaka Chuo170 properties¥19,40069%
Ishigaki24 properties¥18,70028%
Osaka Naniwa53 properties¥18,20072%
Sapporo Chuo106 properties¥18,10060%
Nagoya Nakamura63 properties¥17,70084%
Kobe Chuo45 properties¥17,60059%
Nagoya Naka78 properties¥17,20080%
Osaka Kita56 properties¥16,70057%
Hiroshima Naka54 properties¥16,70068%
Naha108 properties¥16,50056%
Sendai Aoba57 properties¥15,90074%
Hakodate49 properties¥15,60055%
Asahikawa29 properties¥15,50073%
Miyakojima28 properties¥15,20022%
Narita14 properties¥14,20035%

Source: MetroEngines Research; compiled by the HotelBank Editorial Team (early June 2026; 30 municipalities with 10 or more business-hotel-category properties)

Cities Where the Property-Count Face and the Room-Count Face Diverge Most

The counting gap noted at the outset varies enormously by city. Taking the difference between the property-count share and the room-count share of small-scale lodging (capsule/hostels plus simple accommodations and similar) and sorting from the largest gives the table below.

The 12 municipalities with the largest gap between property-count share and room-count share for small-scale lodging (as of June 2026)
Municipality Small-scale property shareSmall-scale room shareGapAvg. rooms per property
Onna73%6%+67pt38 rooms
Kyoto Minami69%7%+62pt56 rooms
Ishigaki77%21%+56pt20 rooms
Miyakojima71%20%+50pt22 rooms
Kyoto Shimogyo59%10%+49pt48 rooms
Asahikawa52%5%+47pt57 rooms
Kyoto Nakagyo58%11%+47pt46 rooms
Kyoto Higashiyama78%32%+46pt17 rooms
Shibuya59%16%+44pt79 rooms
Atami52%10%+43pt24 rooms
Hakodate46%4%+42pt58 rooms
Ito67%26%+41pt13 rooms

Source: MetroEngines Research; compiled by the HotelBank Editorial Team (as of June 2026)

The largest gap is in Onna Village, where small-scale lodging accounts for 73% of properties but only 6% of rooms. Average rooms per property is 38, but that figure is pushed up by large resorts; by operator count, small properties are the overwhelming majority. Ishigaki (gap +56 points) and Miyakojima (+50 points) follow the same pattern: Okinawa’s island markets are two-layer structures in which many small properties coexist with a few large resorts. How rates are tiered on the island side is examined in detail in Autumn on Japan’s Islands: 2.37x ADR Gap Across 10 Municipalities.

Kyoto’s wards also show wide gaps. Minami Ward is 69% of properties against 7% of rooms, a gap of +62 points; Shimogyo is +49 points and Nakagyo +47. Kyoto has a very large number of machiya, guesthouse and simple-accommodation operators, so small properties lead the operator base while business and city hotels carry most of the supply capacity. The figures to look at differ depending on whether you are designing policy for local lodging operators or sizing the capacity available to absorb demand.

Gaps are smallest in cities built on large properties: Urayasu, Nagoya’s Nakamura Ward and Sendai’s Aoba Ward all show property-count and room-count composition ratios that sit close together.

What the Occupancy Side Shows

Rates are only half the picture; occupancy is worth checking too. According to the Japan Tourism Agency’s Overnight Travel Statistics Survey for 2025 (annual, preliminary), room occupancy was 61.8% overall (2025 annual, nationwide), and by property type: business hotels 75.3%, city hotels 74.2%, resort hotels 56.9% and ryokan 38.4%.

Room occupancy by property type and room share across the 34 municipalities in this article (occupancy: Japan Tourism Agency 2025 annual figures, preliminary, nationwide)
Property typeRoom occupancy (2025)Room share, 34 municipalitiesAvg. rooms per property
Business hotel75.3%59.3%137 rooms
City hotel74.2%16.8%268 rooms
Resort hotel56.9%6.5%108 rooms
Ryokan38.4%2.4%26 rooms

Source: Japan Tourism Agency, Overnight Travel Statistics Survey (2025 annual, preliminary) / MetroEngines Research; compiled by the HotelBank Editorial Team

The higher a category’s rate, the lower its occupancy; the lower its rate, the higher its occupancy. Multiply the two into RevPAR (revenue per available room) and the spread narrows well short of the rate gap. Cities centred on ryokan and resorts carry a “high rate, highly variable occupancy” profile; cities centred on business hotels carry a “stable occupancy, relatively low rate” profile — two different revenue shapes.

That contrast also points to different upside in each type of city. In business-hotel cities, where occupancy is structurally high, the source of upside is how far rates can be lifted on high-demand dates. In resort and ryokan cities, where rates are high and seasonality is pronounced, there is more room to add occupancy in the off-season. Even the same goal — growing revenue — points in different directions depending on a city’s category mix.

Summary

What the breakdown of 34 municipalities, 6,678 properties and 504,791 rooms shows:

  • On a property-count basis, small-scale lodging such as simple accommodations is the largest segment at 33.4%; on a room-count basis it is 3.3%. Any discussion of composition has to state how the population is counted.
  • The correlation between the room share of deluxe, resort and ryokan and estimated transaction ADR is +0.688 (R²=0.474). Roughly half of a city’s rate level can be explained by category mix.
  • The other half comes down to location, specification and pricing practice. Compare only business-hotel-category properties and listed prices still vary 2.8x by city.
  • The higher a category’s rate, the lower its room occupancy. A city’s revenue profile should be read as a combination of rate and occupancy, and each type has its own way of capturing upside.

When considering your own property’s position, first check which category dominates your city on a room-count basis, then see where your property’s price sits within that same category. These two steps separate the level that comes from the city’s structure from the upside that is specific to your property.

Related Reading

References and Sources

■ Data sources

The population is lodging properties in Japan tracked by MetroEngines Research that were confirmed active on OTAs and similar channels in early June 2026; from these, 34 municipalities selected across 13 major prefectures — 6,678 properties and 504,791 rooms — were aggregated by category. Municipality-level estimated transaction ADR is for June 2026. Room occupancy by category is from the Japan Tourism Agency’s Overnight Travel Statistics Survey, 2025 annual figures (preliminary).

■ Calculation assumptions

Category composition ratios on both the property-count and room-count bases are calculated from the same population, and the room-count basis is used as the primary lens wherever the relationship with rates is examined. The relationship between mix and rates is a cross-sectional regression across the 34 municipalities using the room share of the three high-rate categories (deluxe hotels, resort hotels, ryokan) as the explanatory variable. Within-category price comparison is limited to the 30 municipalities with at least 10 properties in the category. Estimated transaction ADR covers 29 to 194 properties per municipality (median about 78).

■ Limitations and caveats

Estimated transaction ADR is an estimate and differs from each property’s actual transaction prices and accounting figures. Because it is measured on a different basis from listed prices, the two cannot be added to or subtracted from each other directly. All correlations are cross-sectional observations at a single point in time and do not demonstrate causation (the 95% confidence interval around +0.688 is +0.46 to +0.83). Room occupancy figures are nationwide values by property type, not results for the 34 municipalities aggregated here, so their population differs from that of the room shares.

■ Market data

  • MetroEngines Research — property counts, room counts and listed prices by municipality and category (as of early June 2026; 34 municipalities, 6,678 properties, 504,791 rooms), and estimated transaction ADR by municipality (June 2026)

■ Government statistics

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