Key Takeaways
- Licensed, configured, and staffed capacity are three different denominators, and an occupancy percentage means nothing until you say which one produced it.
- Full-time-equivalent enrollment needs a written normalization rule; schedule-based and revenue-based methods give different answers from the same roster.
- A waitlist becomes evidence only after it is de-duplicated, aged, segmented by age band and start date, and matched against seats that are actually open.
- Contracted enrollment, attendance, billed tuition, and collected cash diverge every month, and a cohort bridge is what shows where.
- Room-age approvals, ratios, and group sizes come from the current state rule and the center's own license, never from a national figure.
The six measures that get reported as one
Licensed capacity is the maximum the regulator has authorized, under whatever conditions the license states. Configured capacity is what the rooms as currently built and furnished could hold. Staffed capacity is what the present roster can actually supervise once applicable ratios are applied. Enrollment headcount is the number of distinct children under contract. Enrollment full-time equivalents normalize those contracts to a common schedule. Attendance is who walked through the door. A waitlist is a record of interest that has not become a contract.
These are not interchangeable, and blending them is the most common way a demand story stops being true. A center can be at ninety-five percent of staffed capacity and seventy percent of licensed capacity at the same moment, because two rooms sit empty for want of a qualified teacher. Both statements are accurate. Only one of them supports the claim that the center is full.
Write the FTE rule before you compute a percentage
Take a center with a five-day full-time schedule. Under a schedule-normalized rule, a child contracted three full days counts as 0.60 and a child contracted five half-days counts as 0.50. Under a revenue-normalized rule, the same two children count as their billed rate divided by the posted full-time rate, so a half-day schedule billed at sixty percent of the full-day rate counts as 0.60 rather than 0.50.
The difference is not academic. On one illustrative roster of ninety-six enrolled children, the schedule-normalized total came to 71.4 FTE and the revenue-normalized total to 74.8 FTE. Measured against a licensed capacity of eighty-eight, that is eighty-one percent occupancy under the first rule and eighty-five percent under the second. Neither number is wrong. An unlabeled number is useless, and a seller who switches methods between the marketing summary and the data room will lose credibility on a point that did not need to cost anything.
Apply one rule consistently, state it in a note attached to every schedule, and hold the definition steady across all twelve months. Where part-time contracts include drop-in days, decide in advance whether those days enter the FTE count or the attendance record, and say so.
Three denominators, three true sentences
Continue the same illustrative center. Its license authorizes eighty-eight children. Its current room layout, with the furniture and cribs actually in place, seats eighty-four. Its present staffing roster, applied against the ratios in its state rule for the ages it serves, can supervise seventy-eight. Enrolled FTE is 71.4.
That produces occupancy of eighty-one percent against licensed capacity, eighty-five percent against configured capacity, and ninety-two percent against staffed capacity. A seller will prefer the last figure and a buyer will underwrite the first. The useful work is in the gap: ten seats exist on paper that the current staffing plan cannot serve. Closing that gap requires hiring, and hiring is a schedule and a cost, not an assumption. The occupancy breakeven arithmetic that follows should be run against staffed capacity first, because that is the only denominator that describes what the center can do next Monday.
Build a monthly cohort bridge
A roster snapshot proves almost nothing on its own. The evidence that carries weight is a month-by-month bridge that shows contracted children at the start of the period, starts, withdrawals, contracted children at the end, the FTE those contracts represent, what was billed, and what was collected.
| Month | Opening contracts | Starts | Withdrawals | Closing contracts | Contracted FTE | Tuition billed | Cash collected |
|---|---|---|---|---|---|---|---|
| January | 94 | 6 | 4 | 96 | 71.4 | $148,200 | $143,900 |
| February | 96 | 3 | 7 | 92 | 69.0 | $143,100 | $139,400 |
| March | 92 | 8 | 5 | 95 | 71.8 | $149,000 | $141,200 |
| April | 95 | 4 | 6 | 93 | 70.2 | $145,700 | $144,600 |
| May | 93 | 5 | 9 | 89 | 66.9 | $138,900 | $132,800 |
| June | 89 | 11 | 4 | 96 | 73.5 | $152,600 | $147,300 |
The figures above are arithmetic illustrations built to show the relationships, not benchmarks for any market. Read them for method. Headcount finished the half-year two children higher than it started, which would look like stability in a summary. Underneath, thirty-seven children started and thirty-five left. Measured against an average contracted headcount of roughly ninety-three, that is turnover approaching three-quarters of the roster on an annualized basis, and it tells a buyer that the enrollment engine has to run hard simply to stand still.
Divide billed tuition by contracted FTE and the rate holds near $2,076 in every month, which says the swing came from volume rather than pricing. Total billings across the six months were $877,500 against $849,200 collected, a gap of $28,300, or 3.2 percent. That difference is the beginning of a conversation about payment timing, discounts applied outside the rate sheet, and balances that will never arrive. It is not yet a conclusion.
What a waitlist has to prove before it counts
Start from the raw export and subtract. In one illustrative list of sixty-two names, seven were duplicate submissions from the same family, five were children already enrolled, and eighteen had not been contacted or confirmed in more than ninety days. Thirty-two names survived, and nineteen of those families had paid a holding deposit.
Now segment the nineteen by age band and desired start date: twelve wanted infant care, five wanted a toddler seat, and two wanted preschool. The center's open capacity, however, sat entirely in its preschool rooms. Converting the infant demand would require opening an additional infant room, which in turn requires the room-age approval on the license, the square footage and fixtures the state rule specifies, and a teacher who meets the qualification standard for that age. A list of sixty-two produced two near-term starts and one capital-and-licensing project.
The request list for a waitlist review is short and specific: the native export with dates of first inquiry and last confirmed contact, deposit amounts and refund terms, desired start date and schedule, the age band requested, and the historical conversion rate from deposit to first day of care. Where a center has never tracked conversion, say so plainly rather than estimating it.
Where enrollment evidence meets state rules
Nothing in an enrollment file overrides the license. The federal study of licensing trends published by the Administration for Children and Families found that every state regulated center child-to-staff ratios, while regulation of group size varied across states. Those cross-state findings explain why age mix drives staffing and therefore capacity; they do not tell you what any particular center may do today. Ratios, group sizes, mixed-age grouping, nap-period rules, and room-age approvals are set by current state regulation for the specific license type and the specific ages served.
Two practical consequences follow. First, read the actual license and its amendments, including any capacity stated room by room rather than only as a facility total. Second, when the question is whether a proposed configuration is permitted, put it to the licensing agency in writing and keep the answer in the file. The federal database of state licensing regulations is a reasonable starting point for locating the current text, and inspection and monitoring history should be read alongside it, but the agency's response about this center governs.
Moving roster data without moving identities
Enrollment diligence handles some of the most sensitive records a small business holds. Use coded child identifiers in every schedule that circulates. Child names, dates of birth, diagnoses, individualized plans, custody arrangements, household contact details, and payment card information have no place in a marketing summary or a general transaction folder.
Almost every test described here works on de-identified data. A cohort bridge needs a stable identifier, an age band, a schedule, a rate, and dates. It does not need a name. Where a later stage genuinely requires identifiable records, counsel should decide what is necessary, control access by buyer stage, log who received what, and set retention and destruction terms. A signed confidentiality agreement supports that discipline but does not replace privacy obligations.
Subsidy-funded children need their own reconciliation
Where public funding pays part of tuition, contracted enrollment and billable enrollment can differ. Authorization periods expire, approved hours may not match the contracted schedule, family copays are separate obligations, and claims can be denied or recouped after payment. Build the subsidy portion child by child: authorization dates and approved schedule, attendance for the claim period, the claim submitted, the remittance received, and any adjustment.
State subsidy administration differs substantially in authorization rules, absence policies, payment timing, and what happens to authorizations when ownership changes. Treat continuation as an open question for the state agency rather than an assumption, and keep the answer with the source records.
A working sequence for the enrollment file
- Fix the definitions in writing, including the FTE rule and each capacity denominator.
- Pull native software exports rather than screenshots or summary dashboards.
- De-duplicate the roster and remove children billed after their withdrawal date.
- Rebuild the monthly cohort bridge from contracts, starts, withdrawals, and billings.
- Reconcile billed tuition to the billing ledger, bank deposits, and filed tax returns.
- Separate attendance from enrollment and note rooms that closed or ran reduced.
- Rebuild staffed capacity from the actual roster and the applicable ratio rule.
- Clean the waitlist and segment it by age, start date, deposit, and last contact.
- Put unresolved licensing questions to the agency in writing, with dates.
- Log every exception with an owner, a target date, and the proof still needed.
How this evidence should reach price
Enrollment analysis changes the earnings a buyer can defend, not a multiple. Begin with normalized results, then adjust only for what the records support: a documented seasonal pattern, a rate change already in effect, a room that cannot open without a hire, or a receivable that will not be collected. Each adjustment needs a formula, a period, and a source.
Scenarios beat a single forecast. Model the current condition, a supported improvement case with the hiring and approval steps it actually requires, and a downside in which withdrawals continue at the observed pace and the replacement pipeline runs slower than assumed. Keep those assumptions visible and separate from the historical record. A buyer who can see which figures are measured and which are projected will argue about the projection rather than about the seller's credibility.
Frequently asked questions
How should full-time-equivalent enrollment be calculated?
Write the rule down before you compute anything. Decide whether one FTE means a five-day full-time contract normalized by scheduled days or by billed dollars, then apply the same rule to every child and every month. The two methods produce different percentages from identical rosters, so an undefined FTE figure cannot be compared to anything.
Does a long waitlist raise what a center is worth?
Only the convertible part does. Remove duplicates, children already enrolled, and families whose interest has not been confirmed recently, then sort the remainder by age band, desired start date, and deposit status. Demand for an age group that has no open seat and no approved room produces no near-term revenue, whatever the raw list length suggests.
Which occupancy denominator should a buyer use?
Use all three and label each one. Licensed capacity comes from the license document, configured capacity from the actual room layout, and staffed capacity from the current roster measured against applicable ratios. The same enrolled FTE will produce three different utilization percentages, and the gaps between them are the operating story.
How far back should enrollment records go?
Ask for at least twenty-four months of child-level history where it exists, and reconstruct twelve months in detail. A shorter window hides seasonality, a single bad summer, or a one-time enrollment surge. If the center changed software mid-period, request exports from both systems and reconcile the overlap rather than splicing two dashboards together.
Can a broker confirm that a center may enroll the children it is enrolling?
No. A broker can assemble rosters, define measures, and reconcile totals to billing and cash. Whether a specific room may serve a specific age at a specific count is decided by the state licensing agency under current rules and the center's own license. Route that question to the agency in writing.
Is this page licensing, legal, or accounting advice?
No. It describes a method for organizing enrollment evidence in a transaction. Conclusions about a particular center belong to the licensing agency, counsel, a CPA, and the lender underwriting the deal. Nothing here substitutes for current state regulation or a professional review of the actual records.