Book demo
Metrics

Average Queue Points for Expressions of Interest

Average queue points among people who registered interest for different types of rental units.

Average Queue Points for Expressions of Interest shows how many queue points a typical interested applicant has for a specific type of unit, such as "3-bedroom apartment" or "student housing in area X." The metric is calculated across all active expressions of interest in the housing queue and reflects the queue time required to be competitive for a given unit type. This provides a picture of how tough competition is within different segments of the portfolio.

How is it calculated?

Average of queue points across all active expressions of interest

Why is it important to follow?

This metric is a key indicator of demand pressure and competition within the queue. By analyzing average queue points, property companies can understand which unit types and areas have the highest threshold for securing a contract, identify segments where demand has grown over time, and set realistic expectations in communication with queue participants. It also provides a basis for planning new developments toward segments where current queue times risk locking out broad target groups.

Definition

Metric
Average Queue Points for Expressions of Interest
Average queue points among people who registered interest for different types of rental units.

Average of queue points across all active expressions of interest

Example of data source

Developed together with 45+ real estate companies

Olov LindgrenRevelopHEBAStockholmshemMimerRiksbyggenOlov LindgrenRevelopHEBAStockholmshemMimerRiksbyggen

Liknande

AI-ready platform

Future-proof your analytical skills

Connect a solution honed together with hundreds of real estate players – already equipped for AI in a way that takes years to build right.