Companion files

Student Housing Real Estate

A Practitioner's Guide to Bed-Weeks, RevPAB, Nomination Agreements and the Rent Roll That Is Re-Sold Every September

These are the companion files of Student Housing Real Estate by Julian R. Sterling.The book on Amazon →

520 beds in Leeds, six room types, one rent roll that expires on the same day every year and has to be sold again from nothing, offered at £46.5 million and worth £41.7 million on the book’s arithmetic. The rate card says £192.98 a week. The revenue a bed actually earns is £173.61. The gap is 10.0 per cent, and no yield in the pack discloses it.

These are the four workbooks the book was written from, corrected and completed: the model now reproduces 269 of the book’s figures, each against a live formula, on the sheet that closes it. Around them: the same four with the inputs emptied, twelve working documents to print, forty questions that mark themselves, and three cases the book names and never takes to a number. Nothing is locked, protected or watermarked.

Everything on this page, in one archive

Download the ZIP328 KB

Twelve workbooks, the printable documents and the read-me. Each group below can also be downloaded on its own. Last revised 24 September 2026.

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The four workbooks

These carry the book’s own figures, so that every number it prints can be traced to a live formula. Each now closes on a checks sheet. Download these four143 KB

The same models, for your own scheme

The four workbooks with every input emptied. The checks sheets count what is still missing and test what holds for any inputs.

The documents the chapters describe

Twelve pages to print and use. A4, with margins wide enough for US Letter.

Forty questions, marked by the file

A workbook that marks itself. Answer in the yellow cells; the marking fills in as you go.

Three cases the book does not work

New material, not a restatement. Three situations the chapters name and never take to a number. Each case is one workbook: the note is the first sheet, the model is the rest, and a checks sheet closes it. Type your own figures in and every finding recomputes.

Download the three cases36 KB

How to use them

Blue on pale blue is an input you may edit. A yellow fill is the carrying assumption of the sheet — the one to argue about first. Black is a formula. Nothing is locked, protected or watermarked. There are no macros and no external links.

The model workbook ends with a sheet called Checks: the figure as the book prints it, the figure the workbook computes, the variance and a status, for 269 figures. The other three workbooks end on a checks sheet of their own that tests what holds for any inputs, and every file ends ALL OK. In the three cases, a figure the book does not give is marked ADDED wherever it appears. If a line ever reads “to check”, the workbook and the book have drifted apart — and the workbook is right.

Three numbers to compute on your own scheme

  1. Revenue per available bed — and say which base. Everything collected over the 44 academic weeks, divided by beds times those weeks, is £173.61 here, against a rate card of £192.98. Everything collected over the whole year, divided by beds times fifty-two, is £151.83. Both are right; a pack that quotes one without naming the denominator is not.
  2. What a point of occupancy costs to buy. A point is worth £39,600 of net operating income and £681,613 of value here — and the discount that buys it is charged to every bed, not only to the one still empty.
  3. The supply already consented in the town. 33,900 purpose-built beds against 68,400 students, with 2,450 more under construction: 67.0 beds per hundred students living away from home today (49.6 per hundred students of every kind), and 71.8 once the pipeline lands, inside three years.

One warning, because it decides the answer

Occupancy in student housing is not a measurement. It is a price the operator chose to pay. Across the whole range of rate this operator can actually use, occupancy moves 11.5 points while revenue moves 3.9 per cent — so a scheme reporting 96.8 per cent tells you almost nothing until you know the rate that bought it. Worse, at an elasticity of 0.907 the whole walk from floor to ceiling is exactly break-even, and at 0.968 a small discount at the margin is: two thresholds that look like one number and are not. Neither depends on the elasticity itself — one is set by the ceiling and the floor, the other is the occupancy rate — so change the elasticity on sheet 3 of the model and watch sheet 12 move the building from one side of them to the other.

What changed, and when

24 Sep 2026The four workbooks corrected and completed. The model computed 21 of the book’s figures and now reproduces 269, with seven new sheets and a scenario engine; its Read me promised the summer taxes and an elasticity that no formula read. Corrected in the book: the summer’s share of the deferral gain is £2,209, not £47,512 (Chapter 12); one bad September is £143,493 and 4.4 per cent, not £135,380 and 4.2 (Chapter 20); a swing of 1.12 per cent, not 1.11 (Chapter 4). Corrected on this page: the asking price is £46.5 million, not £41.7; one inversion has no solution, not two. The tracker takes cancellations, the benchmark computes the fee-erasing energy rise, the bid sheet gives both conventions. Added: a blank set, twelve working documents, forty questions that mark themselves, three cases, and each workbook on its own.

Articles on this book

Also by Julian R. Sterling

The other books with companion files. The full list of titles is on the author page.

Go beyond the companion files

Student Housing Real Estate develops the complete framework behind these models, with the assumptions, trade-offs and worked examples tied together.

View the book on Amazon Read the related analysis

These files accompany Student Housing Real Estate. The book is on Amazon.

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Also available as a standalone free template: Student housing model.