Demographics report

Demographics report

The Demographics report profiles your workforce: who you employ, how long they have been here, and how that is distributed across the organisation.

Where: My Team › Reports › Demographics You need: the Reports (team) right

What it shows

Two distributions do most of the work:

  • Gender
  • Age bands — grouped in five-year ranges
  • Tenure bands — grouped by years of service, finer at the start (1–2, 2–5, 5–8) and

wider later (10–15, 15–20, 20–25)

The tenure banding is deliberately uneven, and usefully so: the difference between one and three years of service says far more about retention than the difference between sixteen and eighteen.

Breakdowns by your own custom fields are available too, so anything you track on a profile can become a distribution.

All of these can be viewed across your organisation structure, so you can compare one department or branch against another.

What to use it for

Succession and risk. A department where most people sit in the longest tenure bands holds a lot of institutional knowledge in few heads. That is a retirement and resignation risk worth knowing about before it arrives.

Onboarding health. A large group in the shortest tenure band is normal after hiring — but pair it with Turnover. If people accumulate in the 1–2 year band and then leave, the problem is what happens after joining, not who you hire.

Statutory and diversity reporting. The distributions are the input for most workforce reports you are asked to produce externally.

Read it with turnover

Demographics tells you the shape of your workforce today; Turnover tells you how it is changing. Neither is much use alone — a healthy-looking distribution with high attrition in one band is a problem that only appears when you read both.

If the numbers look wrong

Demographics is only as complete as your profile data. Missing birth dates or hire dates leave people out of the bands, so a distribution can under-count without looking broken.

If the totals do not match your headcount, run Missing Data before drawing conclusions.

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