Product · Profiling

See who’s in any population

Eight stable demographic profiles, built from nine Census variables. Profile any Australian area, or match a de-identified dataset to the same profiles.

What you get: a suburb’s profile mix

% of residents

High-earning professionals
22%
Established partnered households
18%
Young singles and non-workers
15%
Trades and technical workers
12%
Retired and semi-retired
11%
Children
9%
Labourers and operators
8%
Non-earning dependants
5%

Every suburb, postcode, or uploaded dataset returns a mix like this across the same eight stable profiles.

8
demographic profiles
9
demographic variables
0
individual records sent
1 cr
per 100 combinations

How it works

No raw records, no unique identifiers, no PII. Four steps from your data to a profile per combination.

  1. 1

    Reduce to combinations

    Collapse your de-identified data to the distinct mixes of the nine variables below.

  2. 2

    Label them (optional)

    Add your own label to each combination so you can merge the results back later.

  3. 3

    Send (CSV or JSON)

    1 credit per 100 combinations. Up to 10,000 per request; optional webhook callback.

  4. 4

    Get a profile each

    Each combination comes back tagged with its matching profile and a confidence flag.

Required columns and their accepted values

Each combination is one value from each column. Map your data to these buckets, or send raw ABS category names and we map them for you.

ColumnAccepted values (pick one), and what they mean
age_groupABS AGE5P
Child · Young adult · Early career · Mid career · Senior

Age band: Child 0–14, Young adult 15–24, Early career 25–39, Mid career 40–59, Senior 60+.

sexABS SEXP
Male · Female

Sex as recorded in the Census.

marital_statusABS MSTP
Partnered · Single

Registered or de facto partnered, versus not partnered.

household_roleABS RLHP
Family head · Dependent child · Other relative · Non-family

Position in the household: family head (reference person or their partner), a dependent child, another relative, or non-family (lives alone or with unrelated people).

incomeABS INCP
No income · Low · Mid · High · Very high · Not stated

Total personal income: Low under $500/wk, Mid $500–1,499, High $1,500–2,999, Very high $3,000+/wk.

educationABS HEAP
Year 11 or below · Year 12 / Certificate I–II · Certificate III–IV · Diploma / Advanced Diploma · Bachelor or higher · Not stated

Highest qualification completed.

occupationABS OCCP
Managers and professionals · Technicians and trades · Community and personal services · Clerical, sales, and administration · Labourers and machinery operators · Not in employment

Major occupation group of the person's job (ANZSCO-based).

industryABS INDP
Knowledge services · Trade and construction · Retail and hospitality · Transport and logistics · Other / Not employed

Broad industry of employment (ANZSIC-based).

labour_forceABS LFSP
Full-time employed · Part-time employed · Unemployed · Not in labour force

Employment status in the week before the Census.

label (optional)Any text you choose, echoed back on each result so you can merge profiles to your own data. No unique ID needed.

Buckets group standard categories from the ABS Census 2021 dictionary (variable codes shown above). Send these bucket names, or the raw ABS category labels, and we map them for you.

Full request/response format, examples, and error codes are in the Profile Scoring API docs.

Two ways to use it

Profile an area

See the profile composition of any suburb, postcode, or LGA, compared to the national average. 15 credits per area; up to 3 areas side by side for 25. No setup required.

Match your data (Profile Scoring API)

Send the distinct combinations from any de-identified dataset and get the matching profile for each. 1 credit per 100 combinations, with an optional webhook callback.

Privacy by design

You never send individual records. Reduce your data to its distinct demographic combinations, fully de-identified (no names, addresses, or row-level data), and send only those. Any dataset reduces to a subset of the combinations that exist nationally, and it works for any demographic data, not just customers.

Who uses this

MARKETING
  • How does my customer base compare to Australia?Profile API
BI ANALYST
  • Which demographic profile is most valuable to us?Profile API
ML / DATA SCI
  • Bias-test our model across demographic groups.Profile API
PROPERTY
  • Which demographics dominate this catchment?Profile API
SALES / CRM
  • Append demographic profiles to my CRM.Profile API
  • Score leads by demographic likelihood-to-buy.Profile API
AI SAFETY
  • One-line CI gate: assert_fair(model, AUSynth). Open-source.Profile API
  • Audit predictions for demographic-parity gaps before deploy.Profile API

Profile a de-identified dataset, or an area

Get an API key and match your own demographic combinations, or run a profile report on any geography.

Profiling - AUSynth