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

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 £41.7 million. 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 workbooks the book was written from. Every figure the book prints is reproduced by a live formula, and the model workbook ends with a sheet that compares the two line by line.

The files

Everything, in one archive

All four workbooks and the read-me.

Download the archive46 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. 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 today, 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 single point of occupancy is free: two thresholds that look like one number and are not. Change the elasticity on sheet 3 of the model and both move; they are not the same number and they never were.

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.

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

If this book helped — or didn’t — a few lines on Amazon are worth more than they look: they are what the next reader goes on. Write a review. The workbook stays free either way.