NDIS Tool

NDIS Plan Benchmark

Average plan budgets and utilisation for your state, from official NDIA data.

This tool shows the average NDIS plan budget and the average utilisation for a state and support class, drawn from the NDIA’s own quarterly data. Pick a state and a support class, and the averages appear in a table with the date the data was published.

What the averages mean

Two numbers sit at the centre of this tool. The average annualised committed budget is the typical yearly amount committed to plans in that state for that support class. Average utilisation is the share of committed funding that participants actually drew on.

Averages describe groups of participants, not any individual plan. A plan can sit well above or well below the average for sound reasons, because every plan is built around one person’s goals and circumstances. Read these figures as context, never as a target or an entitlement.

Where the numbers come from

The NDIA publishes de-identified quarterly data on participant numbers, committed budgets, and utilisation, broken down by state and support class. This tool reads that published data directly and reports it without adjustment.

Because the data is refreshed each quarter, the averages move over time. Every result carries the date of the data it draws on, so you always know how current the figure is.

Choose a state or territory to see the cohort average.

Averages describe groups of participants, not any individual plan.

NDIA data to 31 March 2026.

How it works

  1. Choose a state or territory.
  2. Choose a support class: Core, Capacity Building, or Capital.
  3. Read the average committed budget and average utilisation for that cohort.
  4. Note the data date shown beside the result.

What it cannot tell you

  • What your plan should contain. Averages are group figures and say nothing about one person’s reasonable and necessary supports.
  • Whether a support is in your plan. That is set by your plan, not by a state average.
  • Anything about a single participant. Every figure is an average across a whole cohort.

Official sources

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