Are your community's costs normal? A benchmarking guide

Are your costs actually high, or do they just look that way

Every property manager runs into the same question each month: is this cleaning bill too high, is the security cost reasonable, is our dues collection rate actually good? The hard part isn't the number itself — it's having nothing to measure it against. Comparing to last year ignores inflation and maintenance history, and a gut-feel estimate doesn't hold up in front of a residents' board. Anonymous benchmarking fills exactly that gap, and it's become standard practice among professional management firms over the past few years.

The logic is simple: your community's costs and collection figures get compared against the anonymised median of other communities with similar size and features. Nobody can see which community is which — you only see where you fall within the distribution. That turns "normal" from a feeling into a number.

Why the median, not the average

The first rule of a sound benchmarking system is picking the right statistic. The arithmetic mean is easily skewed by a single outlier — an elevator breakdown that doubles one community's electricity bill, or a community mid-lawsuit with an unusual legal expense. The median takes the middle value of a sorted data set, so it resists exactly that kind of distortion. Cost distributions in property management are naturally skewed: most communities cluster in a similar band while rare major repairs stretch the tail. In that shape, the median represents the "typical community" far more honestly than the mean does.

In practice, this means the tool doing the comparing shouldn't just show one number — it should show where your community falls as a percentile within the distribution. "You're 12% above the median" is far more actionable than "you're below average."

Who you should actually be compared against

A benchmark is only as good as its reference group. Putting a 40-unit building next to a 400-unit complex is misleading — economies of scale fundamentally change how fixed costs spread per unit. The same goes for features: elevators, pools, and 24/7 security staff all shape the cost structure in ways that matter.

A mature benchmarking system matches on:

• Number of units (apartments/commercial spaces)
• Common-area features (elevators, pool, sports facilities, security headcount)
• Region (for local labour and energy cost differences)
• Management model (professional firm versus volunteer board)

Skip these filters and the "industry average" you get back is a number that looks meaningful but isn't. Site-Park's portfolio and benchmarking module handles this matching automatically — a management firm sees every community in its portfolio in one table, and each community's figures are only ever measured against the anonymised median of communities that are genuinely comparable.

Which metrics are actually worth benchmarking

Benchmarking every number produces noise, not insight. The metrics worth the effort are usually these:

1. Monthly common cost per unit — the most basic and most requested comparison. It gives a concrete answer to "why are our dues this high?"
2. Collection rate — dues collected as a share of dues billed. A low rate needs a peer comparison to tell whether it's a management issue or a resident-base issue.
3. Cost category breakdown — the share each line (cleaning, security, maintenance, energy) takes of total spend. This is where a bloated category shows up immediately.
4. Maintenance request resolution time — an independent signal of how fast maintenance request handling actually runs.

Read together, these four metrics clarify where a "high cost" claim is really coming from: maybe dues aren't actually high — maybe the collection rate is low, so the per-person burden climbs. Without a benchmark, that distinction is just a guess.

How to present the benchmark to a residents' board

Getting the number is half the job; presenting it in a defensible way is the other half. In practice, this structure works:

• Start with the community's own 12-month trend
• Add the peer median for the same period
• Give one or two concrete reasons for the gap (for example, "our area's electricity unit price runs above the regional median because our transformer capacity is limited")

That structure moves the conversation from "management is mismanaging funds" to "here's the data, the decision is yours." It also matches a consistent finding in transparency practice: residents don't push back on high costs — they push back on unexplained costs. Benchmarking is the strongest tool available for explaining.

An extra layer for management firms: the portfolio view

For firms running multiple communities, benchmarking also turns inward. Which site team is underperforming, which community has quietly accumulated unnecessary cost — these questions are part of daily operations in portfolio management. The same anonymised-median logic applies internally; the only difference is that the reference group is no longer the outside market but the firm's own portfolio. That surfaces which community needs attention at a glance, without wading through spreadsheets.

Benchmarking is only as good as the underlying data

One last caveat: a benchmark is only as reliable as the data feeding it. Missing floor areas, a miscounted number of units, or an outdated common-area list will quietly make the comparison meaningless. That's why a data quality check should come before benchmarking — gathering missing fields, empty records, and residents without contact details into one list and closing them off. Skip that step and the benchmark becomes a report that's technically correct but answers the wrong question.

Anonymous benchmarking turns intuition into data for property management. "Normal" stops being a feeling and becomes a measurable reference point — one that makes it easier for a manager to answer to their residents' board, and for a firm to run its own portfolio. If you'd like to see your own community's numbers against a real peer group, get in touch and we'll walk through how to set up a benchmark sized to your community.