Product Update

Room Splits adds room-type composition to the markets we cover.

Rather than just showing that room types exist, the update allows you to see the exact mix and breakdown of a building or a whole city by room type, shown as both a percentage and a bed count.

We classify the composition of UK PBSA supply into four distinct, validated room types:

• Cluster Ensuite: A room with a private ensuite bathroom but a shared kitchen and/or living space.

• Studio: A room which includes a private kitchen, living area, and private bathroom.

• Cluster Shared Bathroom: Rooms that share a bathroom and a kitchen with other rooms.

• Apartment: A room with a separate private kitchen, private living area, and private bathroom.

• Operators & Asset Managers: Benchmark your exact room mix against the right CompSet and utilise the data during asset acquisition, due diligence (DD), and performance reviews.

• Developers: Understand the performance and presence of the existing room-type mix in a target city before committing to a specific build profile.

• Investors & Lenders: Access deeper supply details and structural mix data to support confident underwriting and Investment Committee work.

We cover effectively the entire UK PBSA market. We have launched Room Splits with at least 70% coverage across all major UK markets (those with 10k beds or more) and at least 50% coverage across all other markets.

Room Splits data is captured when properties are added to the dataset.

Because room composition and mix within a building is structural and rarely changes, this reflects the market accurately for asset and market analysis.

A flat average counts every advertised tenancy equally, regardless of how many beds sit behind it.

Therefore, a property that lists many separate room types - premium studios especially - can influence the average more than one listing a single standard rate, even when only a handful of students are on those premium tenancies.

Weighting by room mix reflects the stock more faithfully: each tenancy counts in proportion to the beds it represents, so the average tracks what students across a building are actually paying rather than how an operator chooses to list its rooms.

Where a property's verified room split is available, we use it. Where it isn't, we apply a modelled split informed by the patterns we see across comparable stock in the same market, so the weighting stays sensible for those properties rather than defaulting back to a flat average.

Modelled splits are used only inside the weighted price-chart calculation; they are never shown as a property's stated composition on its card.

Across a market this gives a considerably more reliable basis for analysis.

For an individual property without a verified split, treat the weighted figure as a well-founded estimate, rather than confirmed fact.

The composition shown on a property is validated, captured data.

Estimates are only ever used inside the weighted price-chart calculation to avoid gaps where a split isn't yet available. They are never shown as a property's stated composition.

Potentially, yes, because the calculation method has upgraded to incorporate the room mix.

To ensure a smooth transition, we have included a toggle on the charts allowing you to switch back to the unweighted averages. This toggle will remain live for the next six months while you adjust your models.

The underlying raw data remains unchanged, meaning you can still fully reconstruct an unweighted series in your own internal dashboards if required.

Image coverage within the Insight Tool was limited, so we optimised that space for valuable, highly-requested Room Splits composition data instead, which is available across a much wider set of properties.

The images themselves haven’t gone anywhere - simply click the link at the top right of the property card to view the full property profile on StudentCrowd.com, where all images are hosted.

While major UK markets have at least 70% coverage by bed count and most others sit at 50% or above, some smaller markets may have lower coverage for now.

If you require deeper coverage for a specific market, please contact your account manager to log your request, as targeted data capture is something we can prioritise for future updates.

No.

This change deepens your existing dataset at no extra cost and with no changes to your current contract.

No existing data fields have been removed or renamed in the UI, API, or raw data exports.

As with all of our data, this is an ongoing work in progress.

If you spot something that doesn't look quite right, we'd welcome your feedback: please let your account manager know and, where possible, provide any publicly accessible documentation of the correct numbers.

If you have any questions, require further clarification on the Room Splits methodology, or need help adjusting your internal dashboards during the changeover period, please do not hesitate to contact your dedicated account manager or support@studentcrowd.com.