Averaging the estimated daily occupancy of Tokyo business hotels (N=538–561 properties) for September 2026 by day of week — estimated from OTA-listed inventory — shows that, excluding the five-day holiday period of September 19–23, Wednesday was the highest at 93.8% and Sunday the lowest at 85.7%, a gap of 8.1 points. City hotels (N=52–54 properties), by contrast, traced a double-peak pattern, with Wednesday at 92.5% and Saturday at 92.1% almost level, in sharp contrast to the weekday-driven shape of business hotels, which peak midweek and dip on Fridays and Sundays. Two categories that look almost identical on a monthly average — 90.3% for business hotels and 90.0% for city hotels — turn out to have quite different demand shapes when cut by day of week. This article examines the day-of-week averages and the booking curves behind them, and sets out how to structure inventory allocation, length-of-stay conditions and channel mix by day of week.
Scope: Tokyo business hotels, N=538–561 properties (approx. 78,000–81,000 rooms), and city hotels, N=52–54 properties (approx. 16,000–17,000 rooms), both based on listings on major booking sites. Occupancy in this article is an estimate based on OTA-listed inventory; price metrics are not covered. Definitions are at the end of the article. Data as of: October 23, 2026.
• ADR (average daily rate) = an estimated settled rate (tax-exclusive equivalent), calculated by applying a segment-specific adjustment factor to the lowest plan price each property publishes on OTAs (per room, two guests per room, tax-inclusive). Checked against property-level results disclosed by listed hotel REITs (91 properties, most recent three months), the median error is approximately 7%. These are estimates and differ from each property’s actual settled prices and accounting figures.
• ADR at the area level (prefecture / municipality) is the median of the estimated settled rates of the properties covered (the level of a typical property in the area).
• Where listed prices are mentioned, they are per-room rates for two guests per room (tax-inclusive).
• OCC (occupancy) = the share of rooms sold out of total rooms in the area (an estimate based on OTA sales inventory).
• Source: MetroEngines Research (continuously tracking OTA public prices for approx. 168,000 properties in Japan, of which approx. 27,000 have confirmed occupancy data)
- — Wednesday 93.8%, Sunday 85.7% Estimated September 2026 OCC for Tokyo business hotels (N=538–561 properties), averaged by day of week excluding the five-day holiday, forms a single peak midweek with a Sunday trough — a gap of 8.1 points.
- — Wednesday 92.5%, Saturday 92.1% City hotels (N=52–54 properties) show a double peak with Wednesday and Saturday nearly level. Monthly averages are almost the same (business 90.3%, city 90.0%), but the day-of-week shapes differ.
- — +33.6pt Business hotels’ Wednesday (9/16) built its peak by climbing from 61.4% at 30 days out to 95.0% just before the stay date. City hotels’ Saturday (9/12) was already 70.9% full at 45 days out, adding only 4.5 points in the final week.
The September Picture — A 90% Monthly Average Made Up of a “Holiday Peak” and a “Weekly Rhythm”
We start with the shape of the month as a whole. Estimated OCC for Tokyo business hotels (based on OTA-listed inventory) averaged 90.3% across the 30 days of September. That level, however, was not uniform. During the five-day holiday from Saturday, September 19 to Wednesday, September 23 (Autumnal Equinox Day), occupancy exceeded 92% for four straight days — 96.5% on the 19th, 98.0% on the 20th, 94.5% on the 21st and 92.9% on the 22nd — with only the final day, the 23rd, dropping to 81.0%. The average for the 25 days excluding the holiday was 89.8%, 0.5 points below the monthly average.
City hotels followed the same pattern. The monthly average was 90.0%; the holiday ran high at 95.9% on the 19th, 96.5% on the 20th, 95.5% on the 21st and 93.0% on the 22nd, before falling to 80.4% on the 23rd. The 25-day average excluding the holiday was 89.5%. In other words, while the holiday did lift the monthly average in both categories, the effect was limited to around 0.5 points; the build-up on regular weekdays and ordinary weekends, which make up most of the month, determined the overall level.
The chart below overlays estimated daily OCC for both categories in September. What stands out is that, setting the holiday peak aside, the business hotel line traces a regular weekly wave — high around Wednesday and low on Sunday. Thursday, September 3 (94.7%), Wednesday the 9th (93.5%), Wednesday the 16th (95.0%) and Wednesday the 30th (95.1%) mark each week’s peak, while the troughs fall on Sundays: the 6th (87.0%), the 13th (84.9%) and the 27th (85.2%) (Tuesday the 1st, at 85.5% at the start of the month, is an exception). The city hotel line also peaks midweek, but a second peak of similar height rises on Saturday, so its wave looks flatter than that of business hotels.
Source: Compiled by HotelBank Editorial Team from MetroEngines Research (Tokyo; business N=538–561 properties, city N=52–54 properties; estimated OCC based on OTA-listed inventory, observed immediately before the stay date)
Day-of-Week Averages — Business Hotels: “Wednesday Peak, Sunday Trough”; City Hotels: “Wednesday–Saturday Double Peak”
Next, we average the daily values by day of week. The main view here uses the 25 days excluding the five-day holiday (which covered one each of Saturday, Sunday, Monday, Tuesday and Wednesday). Holiday nights reflect public-holiday demand rather than the underlying demand of that weekday, so they add noise when looking at day-of-week patterns. The number of sample days is three each for Monday, Saturday and Sunday, and four each for Tuesday through Friday. For reference, the average for all 30 days including the holiday is shown alongside.
| Day | Business, excl. holiday | City, excl. holiday | Sample days (excl. holiday) | Business, all days | City, all days | Sample days (all days) |
|---|---|---|---|---|---|---|
| Mon | 88.6% | 88.5% | 3 | 90.1% | 90.2% | 4 |
| Tue | 90.3% | 89.3% | 4 | 90.8% | 90.0% | 5 |
| Wed | 93.8% | 92.5% | 4 | 91.3% | 90.1% | 5 |
| Thu | 90.5% | 89.3% | 4 | 90.5% | 89.3% | 4 |
| Fri | 88.5% | 88.8% | 4 | 88.5% | 88.8% | 4 |
| Sat | 90.0% | 92.1% | 3 | 91.6% | 93.1% | 4 |
| Sun | 85.7% | 85.6% | 3 | 88.8% | 88.3% | 4 |
| Monthly average (30 days) | 90.3% | 90.0% | — | 90.3% | 90.0% | 30 |
Source: Compiled by HotelBank Editorial Team from MetroEngines Research (Tokyo, September 2026; estimated OCC based on OTA-listed inventory; “excl. holiday” excludes September 19–23)
The day-of-week shape for business hotels is clear-cut. Excluding the holiday, occupancy is concentrated midweek, peaking at 93.8% on Wednesday, followed by Thursday at 90.5% and Tuesday at 90.3%; Friday (88.5%) and Monday (88.6%) form the shoulders, and Sunday (85.7%) is the bottom. Saturday, at 90.0%, is merely on a par with Tuesday and Thursday — the weekend is not particularly strong. The peak-to-trough gap is 8.1 points, meaning that behind the single figure of a 90.3% monthly average there was a constant 8-point swing within each week. How this Sunday trough takes shape from 45 days before the stay date is analyzed in detail in Tokyo Business Hotels’ Sunday Trough: 85.5% OCC, Fill It 30 Days Out.
City hotels, in contrast, have two peaks of almost equal height: Wednesday at 92.5% and Saturday at 92.1%. The trough is Sunday at 85.6%, about the same as business hotels, but what is distinctive is that the non-peak weekdays — Monday 88.5%, Tuesday 89.3%, Thursday 89.3%, Friday 88.8% — line up flat in the 88–89% range. Put another way, business hotels have a “single peak with a weekday gradient,” whereas city hotels have a “double peak, flat on weekdays with only Wednesday and Saturday standing out.”
To sum up, the two categories, which look almost identical at around 90% on a monthly average, actually rest on different demand waves. Business hotels directly mirror business-travel demand concentrated midweek, while city hotels add a second peak from Saturday leisure demand on top of the business-travel peak. This difference indicates that decisions about how to sell each “weekend” night — Friday, Saturday or Sunday — need to vary by category.
Source: Compiled by HotelBank Editorial Team from MetroEngines Research (Tokyo, September 2026; day-of-week averages over the 25 days excluding the five-day holiday; estimated OCC based on OTA-listed inventory)
Different Build-Ups by Day — Wednesdays Jump Late, Saturdays Fill Early
Having established where each day of week ultimately lands, we now compare how bookings build up to that point — the booking curve — by day of week. Based on observations from 45 days before the stay date until just before it, we take four stay dates from the second and third weeks of September, which were unaffected by the holiday: Saturday, September 12; Sunday, September 13; Wednesday, September 16; and Friday, September 18. For the difference between what the build-up of estimated OCC and the sell-out rate each measure, see Estimated OCC vs Sell-Out Rate: Tokyo Business 77.7% vs Capsule 93.8%.
For business hotels, estimated OCC at 45 days out for the four stay dates was 53.9% for Saturday, 48.7% for Sunday, 53.1% for Wednesday and 52.9% for Friday — all around 53% except Sunday. At 30 days out they were still nearly level: Saturday 61.7%, Wednesday 61.4%, Friday 61.2%. The divergence comes after that. Wednesday added 33.6 points from 30 days out to just before the stay date, landing at 95.0%, whereas Saturday added 27.5 points to reach 89.2% and Friday 25.5 points to reach 86.7%. Sunday added 29.4 points from 55.5% at 30 days out, but because it started lower it also landed lowest, at 84.9%. In other words, the Wednesday peak at business hotels is not built by filling early, but by the size of the pick-up as the stay date approaches.
City hotels show day-of-week differences from the starting point. At 45 days out, Saturday was already at 70.9%, starting higher than Wednesday (64.5%), Friday (66.9%) and Sunday (61.7%). At 30 days out Saturday was at 78.8% versus 71.1% for Wednesday, a lead of 7.7 points. Yet the pick-up through to the stay date was 22.7 points for Wednesday against 13.1 points for Saturday, so Wednesday ended slightly higher, at 93.8% versus 91.9%. City hotels’ double peak thus consists of two differently formed peaks: Saturday “fills early,” while Wednesday “catches up late.”
| Category / stay date | 45 days out | 30 days out | 7 days out | Just before | Pick-up, 30 days out → just before |
|---|---|---|---|---|---|
| Business 9/12 (Sat) | 53.9% | 61.7% | 78.7% | 89.2% | +27.5pt |
| Business 9/13 (Sun) | 48.7% | 55.5% | 72.3% | 84.9% | +29.4pt |
| Business 9/16 (Wed) | 53.1% | 61.4% | 83.9% | 95.0% | +33.6pt |
| Business 9/18 (Fri) | 52.9% | 61.2% | 76.9% | 86.7% | +25.5pt |
| City 9/12 (Sat) | 70.9% | 78.8% | 87.4% | 91.9% | +13.1pt |
| City 9/13 (Sun) | 61.7% | 68.0% | 77.8% | 84.0% | +16.0pt |
| City 9/16 (Wed) | 64.5% | 71.1% | 86.5% | 93.8% | +22.7pt |
| City 9/18 (Fri) | 66.9% | 72.5% | 83.2% | 89.3% | +16.8pt |
Source: Compiled by HotelBank Editorial Team from MetroEngines Research (Tokyo; business N=546–550 properties, city N=54 properties; estimated OCC based on OTA-listed inventory, observed from 45 days before the stay date to the most recent observation)
Source: Compiled by HotelBank Editorial Team from MetroEngines Research (Tokyo business hotels, N=546–550 properties; estimated OCC based on OTA-listed inventory, observed from 45 days before the stay date to the most recent observation)
One more point: day-of-week differences persist in the pick-up over the final seven days. At business hotels, Wednesday rose 11.1 points from 83.9% at 7 days out to 95.0%, and Sunday 12.6 points from 72.3% to 84.9% — both adding more than 10 points in the last week. City hotels’ Saturday, by contrast, rose only 4.5 points, from 87.4% at 7 days out to 91.9%, leaving little inventory in the final week. City hotels’ Saturday tends to fill early, so room for last-minute adjustment is more likely to remain on Wednesday.
For Revenue Managers at Tokyo Business and City Hotels — Implications and Action Plan
1. Overlay your property’s day-of-week shape on the market’s. The holiday-excluded day-of-week averages presented here (business: Wed 93.8%, Sun 85.7%; city: Wed 92.5%, Sat 92.1%, Sun 85.6%) serve as a benchmark when you line up your own September results by day of week. If the market peaks on Wednesday but your Wednesday does not, consider whether certain channels or conditions are preventing you from capturing midweek business demand. Conversely, if your Sunday is higher than the market’s, you have a guest segment that is strong on Sundays, and there is room to strengthen offers aimed at it.
2. Don’t treat “the weekend” as a single block. At business hotels, Saturday was 90.0% — on a par with Tuesday and Thursday — while Sunday, at 85.7%, was the low point of the week. Handling Friday, Saturday and Sunday with the same weekend rate and the same inventory allocation easily causes inefficiency on both sides: surplus capacity relative to Saturday demand, and unfilled rooms on Sunday. At city hotels, Saturday is one of the two peaks, whereas Friday, at 88.8%, is in line with the weekday average. Whether to include Friday in the weekend should be decided based on your own Friday results.
3. The Wednesday peak is built at the last minute. At business hotels, Wednesday, September 16 stood at 61.4% at 30 days out — no different from Saturday or Friday — and then added 33.6 points to reach 95.0%. If you look only at early progress and commit Wednesday inventory to long-lead, group or low-rate channels, there will be no rooms left for the business demand that arrives late. Holding inventory open until close to the stay date around Wednesday is an effective approach.
4. City hotels’ Saturdays fill early, leaving little upside at the last minute. City hotels’ Saturday, September 12 was already 70.9% full at 45 days out and 87.4% at 7 days out, adding just 4.5 points in the final week. Because Saturday inventory is decided early, the time frame for shaping Saturday’s mix through length-of-stay and early-booking conditions should be considered to begin earlier than 45 days before the stay date.
| Timeline | Action | Decision trigger (compared with figures in this article) | Objective |
|---|---|---|---|
| Today – this week | Average your September results by day of week and line them up against the market’s day-of-week averages | Identify days where your shape diverges from the market — e.g., your Wednesday below the market (business 93.8%, city 92.5%) or your Sunday above it (85.7%, 85.6%) | Understand strengths and weaknesses by day of week |
| Today – this week | Separate inventory allocation and selling conditions for Friday, Saturday and Sunday | If the gap between your Saturday and Sunday estimated OCC is as wide as the market’s (4.3pt for business, 6.5pt for city) or wider | Reduce missed Saturday demand and empty Sunday rooms at the same time |
| Within 2 weeks | Review the share of Tuesday–Thursday inventory kept on sale until close to the stay date | If your Wednesday pick-up from 30 days out to the stay date falls short of the market’s Wednesday (business +33.6pt, city +22.7pt) | Secure rooms for last-minute midweek demand |
| Within 2 weeks | Offer multi-night conditions that include Sunday (Sun–Tue, Sat–Mon, etc.) | If your Sunday is the low point of the week and the following Monday also stays at the market level (88% range) | Bundle the trough Sunday with adjacent peak days |
| For next month | Finalize Saturday selling conditions earlier than 45 days before the stay date (mainly city hotels) | If your Saturday is already filled close to the city hotel market level at 45 days out (70.9%), early mix design will drive revenue | Optimize the mix of early-filling Saturdays |
| For next month | Treat weekdays right after public holidays and long weekends (the last day of the holiday and the day after) as distinct demand days | If your property shows the same pattern as September 23 (Wed, holiday) at 81.0% for business and 80.4% for city, and the following day, the 24th (Thu), at 83.5% and 84.5% — both near the bottom of the month | Prepare in advance for the post-holiday trough |
Source: Prepared by HotelBank Editorial Team (decision-trigger figures are the Tokyo estimated OCC values presented in this article)
Summary — Three Yardsticks for Reading Days of the Week
From Tokyo’s September 2026 data, we narrow the yardsticks for reading estimated OCC by day of week down to three. First, look at the day-of-week shape, not the monthly average. Although the monthly averages were almost the same — 90.3% for business and 90.0% for city — the holiday-excluded day-of-week averages showed different shapes: a single peak for business hotels (Wednesday 93.8%, Sunday 85.7%) and a double peak for city hotels (Wednesday 92.5%, Saturday 92.1%). Second, look at when the peak is built. Business hotels’ Wednesday was no different from other days at 30 days out and became a peak through a 33.6-point last-minute pick-up, whereas city hotels’ Saturday was already 70.9% full at 45 days out. Even for the same “peak,” the time frame for holding inventory differs. Third, split the weekend into Friday, Saturday and Sunday. In both categories Sunday sat at the bottom in the 85% range, and Friday, in the 88% range, was below the weekday average. Whether a weekend structure in which only Saturday is high is reflected as-is in your rate calendar and inventory allocation is the starting point for day-of-week management.
These are observations from a single month in a single area — Tokyo in September 2026 — and the shape may change from month to month depending on where holidays fall and whether major events take place. The procedure of averaging by day of week, however, can be repeated every month and serves as a tool for tracking, at fixed intervals, how your property’s shape diverges from the market’s. Placing this alongside Kyoto Business Hotels in Sep: Sat 89.6%, Sun 82.1% — 76.1% Ex-Holiday, which looks at the same September 2026 using the same procedure, also lets you see how day-of-week shapes differ by area.
About the Data
| Definition of estimated OCC (based on OTA-listed inventory) | Occupancy based on OTA-listed inventory = 100 − 100 × OTA-listed rooms remaining ÷ total rooms. Covers a fixed cohort of properties that list at least 30% of their total rooms on OTAs (the same set of properties for each stay date; N is the number of properties). This is an estimate based on how OTA-sold inventory is being taken up and is defined differently from actual room occupancy (rooms not listed are counted as taken, so it tends to read higher). Daily values and day-of-week averages in this article use observations taken immediately before the stay date. |
| Booking curve | Based on observations from 45 days before the stay date to the most recent observation. Fixed points: 45 days out, 30 days out, 7 days out and just before the stay date. |
| Scope | Tokyo business hotels, N=538–561 properties (approx. 78,000–81,000 rooms; the number of properties varies by day), and city hotels, N=52–54 properties (approx. 16,000–17,000 rooms), both based on listings on major booking sites. Target month: September 2026 (30 days). “Excluding holiday” day-of-week averages are calculated over 25 days, excluding the five days of September 19–23; sample days per weekday are three for Monday, Saturday and Sunday and four for Tuesday through Friday. |
| Price metrics | This article covers only the day-of-week shape of occupancy and does not include price metrics (such as estimated settled ADR). Price differences by day of week are also not discussed. |
| Data as of | Data as of: October 23, 2026. Sales status and inventory change daily, so the figures in this article are a snapshot at the time of retrieval. |
Source: Compiled by HotelBank Editorial Team from MetroEngines Research
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