Data
Resident parking in numbers, 2026
Every association debates parking on feelings. This is our attempt to give the debate numbers — aggregated and anonymised from the areas running on the platform.
Three findings define the report: parking areas are only full for a few evening hours (median midday occupancy is far lower), guests use a small fraction of the budgets associations set, and control-fee volume falls after the first months of enforcement. Each finding is unpacked below, with the method behind the numbers.
Method
How these numbers are made
All figures are aggregates across [XX] parking areas with [XX] apartments on the platform during [period]. No individual area, apartment or vehicle can be identified. Percentages are medians across areas unless otherwise stated, so a few large areas cannot skew the picture.
[XX] %
Median evening peak occupancy
Weekdays [XX]–[XX]
[XX] %
Median occupancy at midday
The unused capacity most boards don't know they have
[X,X]
Median guest days used per apartment per month
Compare with the limits associations set
Finding 1: the lot is only full when everyone is home
Occupancy follows a strong daily rhythm: a peak on weekday evenings, a deep trough during working hours, and weekends flatter than most boards expect. The practical consequence: an association that experiences 'no parking' is usually experiencing a two-to-three-hour evening problem, not a capacity problem — which changes which solutions are worth paying for.
Areas that moved from fixed spaces to shared registration show measurably higher utilization of the same asphalt, consistent with what individual case studies have long suggested.
Finding 2: guests are short, few, and predictable
The median guest stay is measured in hours, not days, and the bulk of guest registrations happen on [days]. Most apartments use a small fraction of the guest budgets their associations set — which means the common fear behind strict guest limits ('everyone will abuse it') doesn't show in the data.
For boards, the takeaway is to set guest limits from the actual distribution: generous enough that ordinary social life never hits the ceiling, tight enough that a household can't run a second car on guest registrations.
Finding 3: control fees fall over time — as they should
Across areas, fees issued per month decline after the first months of enforcement, and the share issued to outside vehicles dominates from the start when a proper grace period was run. A parking scheme that keeps producing many fees against its own residents is misconfigured — the data says the norm is the opposite.
This is also the honest answer to 'won't the operator just live off our fees?': in a well-run area, fee volume trends toward a low floor. Budget accordingly, and treat enforcement as prevention, not revenue.
Use the numbers
These figures may be quoted with attribution to Min Beboer Parkering and a link to this article. If you are a journalist, researcher or administrator and want a specific cut of the aggregated data — by area size, by region, by scheme type — contact us; we share what can be shared without compromising anonymity.
The curve behind the numbers
Occupancy is not one number. Resident parking fills overnight and empties during the working day, so a count taken at 11:00 says almost nothing about the pressure at 22:00.
That is why a board that measures once, at the wrong hour, concludes it has spare capacity — and then hears otherwise at the general assembly. The shape matters more than the peak.
Switch the demo between hour, day and month. The hourly curve only exists where cameras log every entry and exit; with patrol scans you get readings at the times someone walked the area, so day or month is the honest resolution.
Occupancy over time
FAQ: About the report
Can we cite these numbers in our own proposal or article?
Yes — with attribution to Min Beboer Parkering and a link to this article. Boards are welcome to use them in general assembly proposals.
How is anonymity protected?
All figures are aggregates and medians across areas — no individual area, apartment or vehicle can be identified, and we only publish cuts large enough that they can't be traced back.
How often is the report updated?
Annually. Each edition states its data period in the method note, and previous editions stay available so trends can be compared year over year.