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Saitama Public High School Application Ratios (as of Feb 10)How to Read the Decline and Polarization

Based on Saitama’s Feb 10 snapshot, this article breaks down overall ratios, department trends, top schools, undersubscribed programs, and year-over-year shifts before final confirmations.

General
Published on: February 12, 2026
Read time: 6 min
Author: Pochang Lab
Read time: 6 min

Introduction: The Feb 10 Ratio Is Not the Final Ratio

The key premise is simple: the "number of applicants / application ratio" published by the Saitama Prefectural Board of Education is a snapshot at the application deadline (Feb 10).

The official page also indicates that confirmed figures after school-choice changes (day 1 and day 2) will be released separately. So treating Feb 10 data as the final confirmed ratio is not accurate.

Also, "same-period ratio last year" means the same timing in the previous year (deadline snapshot), not the previous year's final ratio. In practice, the year-over-year difference should be read as an indicator of how applicant momentum has changed at this point in time.


Calculation Rule: The Denominator Is A, Not Always the Original Capacity

Each row in the table provides:

  • Planned admissions (A)
  • Applicants (B)
  • Ratio (B / A)

The important point is that A does not always equal the publicly announced capacity. Transfer/re-entry counts are shown in each row and reflected in A.

To avoid misreading, comparisons should always use B / A with A = planned admissions.


Big Picture on Feb 10

Overall Total (Full-time + Part-time)

  • Ratio: 1.02 (37,328 / 36,523)
  • Same period last year: 1.08
  • Year-over-year: -0.06

The total is only slightly above 1.00. This suggests a mixed structure: broad undersubscription in many places, while selected schools/programs still attract concentrated demand.

Full-time Total (General + Specialized + Comprehensive)

  • Ratio: 1.05 (36,264 / 34,603)
  • Same period last year: 1.11
  • Year-over-year: -0.06

Full-time programs are the main battlefield, and this clear decline versus last year is the core signal.

By Full-time Program Type

  • General: 1.09 (27,874 / 25,517), down from 1.17 (-0.08)
  • Specialized: 0.93 (6,838 / 7,332), down from 0.95 (-0.02)
  • Comprehensive: 0.91 (1,552 / 1,708), unchanged from 0.91 (±0.00)

General courses saw the largest drop. Comprehensive remains low and flat. Specialized remains below 1.00 with a slight decline.

Part-time Total

  • Ratio: 0.55 (1,064 / 1,920)
  • Same period last year: 0.56
  • Year-over-year: -0.01

Part-time is smaller in share, but 0.55 implies that undersubscription is structurally likely.


High-Ratio Zone in Full-time: Competition Is Concentrated, Not Uniform

Notable examples on Feb 10:

  • Omiya (Science & Math): 2.48 (99/40)
  • Tokorozawa-kita (Science & Math): 1.80 (72/40)
  • Omiya (General): 1.75 (558/318)
  • Geijutsu Sogo (Fine Arts): 1.68 (67/40)
  • Saitama Municipal Urawa (General): 1.96 (470/240)

The key takeaway: the entire system is not uniformly high-pressure. Only 10 full-time entries exceed 1.50.

Small cohorts (often around 40 seats) can swing sharply when applicant counts move by only 10–20 students.


General Courses: Top Concentration and Wide Dispersion Exist Together

Top general-course rows include Saitama Municipal Urawa (1.96), Omiya (1.75), and Kawaguchi Municipal (1.61).

However, many general-course rows are still below 1.00. So the overall general-course average (1.09) alone does not describe the actual landscape.

You need to read the distribution, not just the average.


Scale of Undersubscription: About Half of Full-time Rows Are Below 1.00

124 out of 243 Full-time Rows (about 51%) Are Undersubscribed

Breakdown:

  • General: 41/102 (about 40%)
  • Specialized: 77/132 (about 58%)
  • Comprehensive: 6/9 (about 67%)

Undersubscription is more common in specialized and comprehensive courses, but even general courses show a large sub-1.00 segment.

20 Rows Below 0.50: Signs of Structural Vacancy Risk

Examples:

  • Shinshukan (Electrical Systems): 0.28 (11/39)
  • Hanyu Jitsugyo (Information Processing): 0.25 (10/40)
  • Chichibu Nokokagaku (Forest Science): 0.35 (14/40)
  • Kodama (General): 0.34 (42/122)
  • Ogano (General): 0.38 (47/124)

These are not simply "easy to get into" cases. Final enrollment outcomes also depend on school-choice changes, absences, withdrawals, and enrollment yield.


Year-over-Year Movers: Where Momentum Changed

Defined as ratio on Feb 10 this year - ratio on Feb 10 last year.

Examples of Large Increases

  • Matsubushi (Information Business Course): +0.47 (0.90, 36/40)
  • Konosu Girls (Childcare): +0.40 (1.00, 40/40)
  • Kawaguchi Technical (Info Communications): +0.39 (1.15, 91/79)
  • Geijutsu Sogo (Fine Arts): +0.38 (1.68, 67/40)

Examples of Large Decreases

  • Municipal Omiya-kita (Science & Math): -1.17 (1.18, 47/40)
  • Koshigaya-kita (Science & Math): -0.50 (1.60, 64/40)
  • Koshigaya Sogo Gijutsu (Information Processing): -0.50 (0.45, 18/40)
  • Asaka (General): -0.43 (0.94, 300/318)

In small-capacity programs, year-over-year changes can look dramatic. Always interpret these shifts together with the size of A.


Practical Value of the Feb 10 Snapshot

This dataset is useful for three early diagnostics:

  1. Identifying the likely high-ratio core (science/math, selected general, arts)
  2. Detecting deeply undersubscribed zones (20 rows below 0.50)
  3. Flagging large year-over-year outliers (roughly ±0.4 and beyond)

At the same time, it is risky to conclude final difficulty from this snapshot alone. School-choice changes reshape the entire distribution.

A practical stance is: Feb 10 is the map; post-change confirmation is the destination.


Conclusion: The Signal Is Polarization, Not Uniform Intensification

The Feb 10 figures do not show a uniformly heated competition across the prefecture.

  • Overall ratios are down versus the same point last year
  • Demand is concentrated in selected science/math, high-tier general, and arts tracks
  • Meanwhile, undersubscription has spread to roughly half of full-time rows

In short, the dominant pattern is polarization.

The next key observation point is how much this polarization is eased—or fixed in place—after official school-choice changes are finalized.

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