NUPSSP · Bangladesh Hosting Capacity Model
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Capacity standards · supervision system

Hosting Capacity Model

Placement ranges per facility type, the theoretical aggregate treated with the skepticism it deserves, and the supervision system that is the true binding constraint.

Capacity standards by facility type

The capacity model derives placement ranges per facility type from verified institution counts and explicit per-facility assumptions (ASM-11 to ASM-16). The low/medium/high columns are planning ranges for pilot design — each would be validated by facility census and pilot evidence before expansion:

Capacity itemBasisLowMediumHighUnitNotes
Upazila-level office placements (495 upazila complexes)Derived (ASM-11): 15/20/30 students per upazila per year7425990014850students/yearAll upazila complexes hosting simultaneously is a strong assumption; phased rollout more realistic
Union Parishad placements (4,554 unions)Derived (ASM-12): 1/2/4 students per union per year4554910818216students/yearPairs with union digital centers where functional
Primary school placements (65,567 schools)Derived (ASM-13): 1/2/3 students per school per year65567131134196701students/yearEducation-sector only; head-teacher supervision capacity is the binding constraint, not building count
Secondary institutions (19,211-21,086)Derived (ASM-13): 1/2/3 per institution210864217263258students/yearNA
NU college campus-based placements (2,260-2,500 colleges)Derived (ASM-14): 20/50/100 per college per year50000120000250000students/yearCollege-based model where students serve near their own college - the only mechanism that can plausibly absorb 100,000+ participants
Health facilities (418 UHCs + district hospitals)Derived (ASM-15): 8/12/20 per facility380058009600students/year418 UHCs + 64 district hospitals = 482 facilities
District administration placements (64 DC offices)Derived (ASM-16): 20/40/60 per office128025603840students/yearNA
AGGREGATE theoretical placement capacity (annual)Sum of above rows155916322174706465students/yearTheoretical, NOT operational: assumes every institution type participates; real constraint is trained supervisors and coordination, verified by none of these numbers
Trained supervisors required - scenario S1 (100,000) at 1:20Derived (ASM-07)500050005000supervisorsMid estimate; ratio fixed at planning default
Trained supervisors required - S2 (200,000) at 1:20Derived (ASM-07)100001000010000supervisorsNA
Trained supervisors required - S3 (300,000) at 1:20Derived (ASM-07)150001500015000supervisorsRoughly equals 1 percent of the 1,464,350 filled government posts (SRC-09) - large but not absurd
Supervisor training cohort capacityDerived (ASM-17): 25 trainees per trainer-day; 200 trainer-days/year per trainer50001000015000supervisors trainable per year by 1/2/3 dedicated training unitsA 30-person central training unit can certify ~15,000 supervisors/year (2-day course each)
University coordination staff (1 per 200 enrolled participants)Derived (ASM-18)50010001500staffAcross all participating universities; 173 universities exist (SRC-01)
Government program office staff (1 per 2,000 participants)Derived (ASM-18)50100150staffNational + divisional + district coordination
Digital platform: concurrent placement recordsDerived (ASM-19): 2 placement windows/year50000100000150000records live concurrentlyPlatform must handle registration, attendance, supervisor sign-off, grievance intake
Distinguishing vacancies from hosting capacityMethodological noteNANANAnoteThe 521,922 vacant government posts (SRC-09) represent UNFILLED JOBS, not hosting capacity. Hosting capacity depends on supervisor availability, workspace and task design - NOT on vacancy counts. This row exists to prevent a common analytical error.
The NU college campus-based model (20/50/100 per college) is the only mechanism that can plausibly absorb 100,000+ participants — the structural backbone of any large-scale design.Source data: research CSV dataset (see Downloads)
Medium-estimate annual placement capacity by facility type (students/year)NU college campus-based (2,260–2,500)50/collegePrimary schools (65,567)2/schoolSecondary institutions (~21,086)2/institutionUnion parishads (4,554)2/unionUpazila complexes (495)20/upazilaHealth facilities (482)12/facilityDC offices (64)40/office
Figure 1. Medium estimates from CSV 16. The aggregate row is deliberately excluded here — see the honest treatment below.

Theoretical aggregate capacity

155,916
Theoretical low — every institution type hosting at minimum density
Sum of CSV 16 low column
322,174
Theoretical medium — the number that makes 300,000 look plausible on paper
Sum of CSV 16 medium column
706,465
Theoretical high — meaningful only as an upper bound of bounds
Sum of CSV 16 high column
Theoretical ≠ operational

The aggregate assumes every institution type participates simultaneously at the stated densities — and the register says so plainly. Real capacity is set by trained supervisors, coordinator availability, workspace and task design, none of which are verified by institution counts. The theoretical medium (322,174) exceeds 300,000, which is exactly why the research refuses to treat it as an answer: it is the ceiling of a model, not a plan.

The supervision system

Supervision is the binding constraint, and it is a solvable one — with time. The register sizes the supervisor pipeline: a 30-person central training unit can certify ~15,000 supervisors per year (2-day course, 25 trainees per trainer-day, ASM-17); university coordination needs 1 staff member per 200 participants (ASM-18); and the national programme office runs at 1 per 2,000 participants (50–150 staff across 100,000–300,000 participants).

03,7507,50011,25015,0005,00050050100,00010,0001,000100200,00015,0001,500150300,000Supervisors needed (1:20)University coordination staffProgramme office staff
Figure 2. Coordination staffing by scenario (ASM-17/18). The supervisor corps dominates — and the standing rule (RSK-09) is that scale never expands faster than the supervisor pipeline.

Vacancies are not capacity

Methodological note (reproduced from CSV 16)

The 521,922 vacant government posts (SRC-09) represent unfilled jobs, not hosting capacity. Hosting capacity depends on supervisor availability, workspace and task design — not on vacancy counts. This row exists to prevent a common analytical error: the temptation to read the vacancy crisis as free placement space. Students add capacity at the margin under supervision; they do not fill posts.

Download the capacity model