Student Housing Income Calculator
The formula
What the beds, not apartments tells you
Purpose-built student housing underwrites per-bed rent with academic-year leases plus summer programming.
Calculation: Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex. Enter your inputs and every substitution is shown below the result.
Reading the result
480 beds at 93% and 720 bed/month ≈ 5.2M gross; 5–6% caps reflect the demand depth.
Rules of thumb: 500–900/bed/mo; caps 4.5–6%
Limitations and best practice
Off-campus comps price by apartment; your per-bed premium must survive the room-mate arbitrage test.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
10- or 12-month leases?
Enrollment risk?
What is bed yield?
Source & methodology
NBCUniversal/real-asset PBSH underwriting.
How Student Housing Income works — and what your result really means
Gross figures are marketing; net figures are reality — this page computes the distance between them. Student Housing Income is the kind of number people argue about from memory. This page ends that argument with arithmetic you can watch happen: enter your figures, get Annual NOI in real time, and see every substitution printed below.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
It helps to separate the mechanics from the interpretation. The mechanics are fixed: Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex. Anyone, anywhere, entering the same inputs will get the same $6,770,400. The interpretation is where experience counts: whether $6,770,400 is good, normal or alarming depends on comparisons covered below, and that is the part most articles about Student Housing Income never explain.
What makes a calculation page trustworthy is that its copy is derived from its own arithmetic: here annual NOI = $6,770,400, recomputed every time a field changes, and the sensitivity section ranks the inputs that move the result — Annual occupancy first, at ≈10.0 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
Inside the Student Housing Income calculation: formula and every input
One formula, published in full: Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex. Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
Total beds (example value 1,125) is a measured number in the unit named by the label; the formula does not convert for you. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Annual occupancy (%) (example value 91) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Rates are the most mis-transcribed input on any page like this; copy it from the document rather than retyping from memory.
Average per-bed monthly rent ($) (example value 720) is a plain measured quantity — the unit shown in the label is the unit the formula expects. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
% revenue from summer program (example value 19) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Rates are the most mis-transcribed input on any page like this; copy it from the document rather than retyping from memory.
Operating expense ratio (%) (example value 38) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Check the convention first: if the source says “6.5 % per year”, type 6.5 and let the formula do the rest.
A fully worked Student Housing Income example
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: Total beds, Annual occupancy (%), Average per-bed monthly rent ($), % revenue from summer program. Run to the end, the annual NOI resolves to $6,770,400 — PBSH is 10-month contracts + summer compression: 19% of revenue from camps keeps the beds earning while students leave on the bands this tool uses.
- 1,125 × 91% × $720 × 12 = $8,845,200
- grossed for summer → $10,920,000
- − 38% = $6,770,400
Gross annual — $10,920,000. Read next to the headline, this is the figure that shows the shape of the trade-off.
Per-bed revenue — $9,707 /yr. If your inputs change, this is usually the first companion figure to move.
Value at 5.5% cap — $123,098,182. Compare it against the main result of $6,770,400 before drawing conclusions.
Loss per 1-pt occupancy — $67,704.00. Compare it against the main result of $6,770,400 before drawing conclusions.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
Scenario table: Student Housing Income at ±10 % and ±20 % of the key input
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Annual occupancy setting | Annual NOI |
|---|---|
| 80 % of the example value | $5,416,320 |
| 90 % of the example value | $6,093,360 |
| example inputs | $6,770,400 |
| 110 % of the example value | $7,447,440 |
| 120 % of the example value | $8,124,480 |
Across 5 settings of Annual occupancy, the result spans $5,416,320 to $8,124,480. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Annual occupancy alone; the substitution steps will follow your figures exactly.
The levers behind Student Housing Income, ranked by effect
Generic advice says “it depends on your inputs”; this section says exactly how much. Each field was perturbed by ±10 % in isolation and the annual NOI recomputed, so the ranking below is measured rather than asserted. For Student Housing Income the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Nudge Annual occupancy by ±10 % and Student Housing Income lands between $6,093,360 and $7,447,440 (sensitivity ≈10.0 %)
- Average per-bed monthly rent: ten percent up gives $7,447,440, ten percent down gives $6,093,360 — ≈10.0 % of the annual NOI either way
- Total beds +10 % → Student Housing Income = $7,447,440 · −10 % → $6,093,360 (the annual NOI shifts ≈10.0 %)
- Operating expense ratio: ten percent up gives $6,355,440, ten percent down gives $7,185,360 — ≈6.1 % of the annual NOI either way
- Nudge % revenue from summer program by ±10 % and Student Housing Income lands between $6,615,228 and $6,933,027 (sensitivity ≈2.4 %)
Annual occupancy is the dominant lever here: ten percent either way moves the result by about 10.0 %, from $6,093,360 to $7,447,440. Measure that input from a document rather than from memory, and Average per-bed monthly rent is effectively tied with it (≈10.0 % for the same nudge), so verify the pair together. The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Is your Student Housing Income good — reading the result bands
A number on its own is trivia; a number against a range is intelligence. The default case lands in the “PBSH is 10-month contracts + summer compression: 19% of revenue from camps keeps the beds earning while students leave” band, and bands are deliberately wide because real situations overlap. Before treating the band as fact, note its width: ten percent either way on Annual occupancy already spans $6,093,360 to $7,447,440. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Related measures answer related questions, and the distinctions matter: Student Housing Income is the quantity, Annual NOI is this tool’s reading of it, and the decision that follows belongs to neither of them separately.
Why Student Housing Income results go wrong — and how to prevent it
Off-campus comps price by apartment; your per-bed premium must survive the room-mate arbitrage test. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Treating the example inputs as a recommendation. They are a demonstration of the mechanism — a decision-grade Student Housing Income begins the moment your own figures replace them.
This model has its own particular trap: Annual occupancy carries ≈10.0 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
A final trap is presentation: reporting Student Housing Income to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Before you trust your Student Housing Income: a short checklist
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Compare the result with one independent method or published benchmark.
- Put Annual occupancy under a magnifier; the sensitivity table above is the reason why.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Confirm the answer against one independent method or published benchmark for Student Housing Income.
A routine for decision-grade Student Housing Income
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Student Housing Income takes a minute to learn and applies to every input above.
Step 1 — collect, then type. Everything this tool asks for is listed above (total beds, annual occupancy (%), average per-bed monthly rent ($), % revenue from summer program, operating expense ratio (%)). Pull each figure from something you can point at — paperwork, a dashboard, a label — before touching a field. Guesswork at the input stage cannot be repaired at the interpretation stage. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.
Step 2 — compute the version you would not be embarrassed by. If a stranger audited your inputs, which set would you hand over? Enter that set, read the result, and treat everything else as upside. The point of transparency is that a reader can disagree with a specific line rather than with you.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. The input you reach for first is usually the one you measured longest ago.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. One decimal place more than your data supports is one decimal place of fiction.
Step 5 — write the one-line memo. “Annual NOI = $6,770,400 on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
From calculation to decision: where Student Housing Income earns its keep
In Commercial Real Estate the figure computed here is usually the first one somebody asks to see. Having it — with the formula behind it — changes your position in the conversation from participant to reference. When two sources disagree, it is almost never the arithmetic that differs.
The companion outputs — Gross annual and Per-bed revenue — exist for the second stage of that screen: the headline sizes the prize, while the companions describe the trade-off you are accepting to get it. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
There is a personal-administration use people overlook: periodic self-checking. Student Housing Income quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. If the verdict changes with a ten-percent nudge, report the nudge alongside the number.
People also ask about Student Housing Income
What affects Student Housing Income the most?
Measured on this engine, Annual occupancy is the dominant lever: moving it ±10 % shifts the annual NOI across $6,093,360 to $7,447,440 — about 10.0 % of the headline, with Average per-bed monthly rent next at ≈10.0 %. The ranked list in the sensitivity section is computed live, not asserted from a template.
Do average per-bed monthly rent and annual occupancy matter equally?
On these inputs, yes: the two measured within a rounding error of each other — ≈10.0 % and ≈10.0 % of the annual NOI per ten-percent change. Treat them as one pair to verify together rather than ranking them.
What is a typical Student Housing Income?
With the example inputs on this page the result is $6,770,400, labelled “PBSH is 10-month contracts + summer compression: 19% of revenue from camps keeps the beds earning while students leave”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate Student Housing Income by hand?
Three steps: write the formula (Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about Student Housing Income than any number of calculator runs.
What happens to Student Housing Income if annual occupancy changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is $6,093,360 to $7,447,440 across the ten-percent probe, i.e. ≈10.0 % sensitivity on the annual NOI.
Is the Student Housing Income result of $6,770,400 good or bad?
Neither, on its own — the label “PBSH is 10-month contracts + summer compression: 19% of revenue from camps keeps the beds earning while students leave” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in Annual occupancy alone moves it by ≈10.0 %.
Which costs are missing from Student Housing Income?
Vacancy, management, capital reserves and closing amortisation are the usual absentees. The tool computes what you feed it; adding those into the expense side moves the number from marketing to operations.
How often should I check Student Housing Income?
Whenever an input changes by more than a few percent, and otherwise on the rhythm of your decisions — before a purchase, a review, a renewal. Student Housing Income is a snapshot, not a subscription; stale snapshots are the most common silent error in Real Estate & Property planning.
10- or 12-month leases?
10-month with summer camps maximizes rate per occupied day; 12-month stabilizes cash.
Enrollment risk?
Single-campus PBSH is an enrollment bet; secondary markets dilute with military/community-college demand.
Can this tool see the numbers I type?
It cannot. There is no submission step: the calculation happens in your browser and the result disappears when you close the page. Treat the fields above as a scratchpad rather than a form.
Key terms on this page
- Gross annual
- $10,920,000 on the example inputs — a companion figure printed beside the headline of Student Housing Income so that no result is read in isolation.
- Per-bed revenue
- $9,707 /yr on the example inputs — a companion figure printed beside the headline of Student Housing Income so that no result is read in isolation.
- Value at 5.5% cap
- $123,098,182 for the Student Housing Income worked case; it sits next to the main result because it carries context the headline leaves out.
- Annual NOI
- The primary output of this tool: $6,770,400 for the default inputs, computed exactly from Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex.
- Worked example
- Every substitution in order, from the example inputs to $6,770,400 — the audit trail for the headline figure.
- Verdict band
- The interpretation attached to a result (“PBSH is 10-month contracts + summer compression: 19% of revenue from camps keeps the beds earning while students leave” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Student Housing Income moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Where the Student Housing Income model comes from
The model is published arithmetic implemented exactly as written: Gross = beds × occ × rent × 12 + summer; NOI after academic-year opex. Source of record: NBCUniversal/real-asset PBSH underwriting. Where a professional version of this calculation differs, it differs in inputs and jurisdiction-specific coefficients, not in the algebra — which is why re-checking your inputs beats hunting for a second calculator.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
After the number: what to do with it
Compare offers on the computed net figure, never on the headline — two equal salaries rarely produce equal money.
Whoever you are (workers and employers working out what money actually arrives), the next step is the same: replace the example inputs with your own, note the date, and re-run whenever a figure moves. In Real Estate & Property, a dated figure is a trend, and an undated one is a rumour.