Product · Synthetic data
Know who lives in any Australian suburb, before you spend.
Privacy-safe synthetic individuals you can slice, model, simulate, or join to your own data. Statistically representative of the real ABS Census 2021, but no record is a real person.
How it works
- 1
Pick a geography
Suburb, postcode, LGA, state, or national.
- 2
Pick a dataset
Persons, families, or dwellings, with structure preserved across levels.
- 3
Download
CSV, Excel, or Parquet. 1 credit per 500 records.
What's in each record
47 Census variables: age, sex, income, education, occupation, industry, household composition, dwelling type, and more.
See the data dictionary for the full schema, or the pricing page for credit bundles (hierarchical-tier downloads cost 1.5× the base).
Built for ML / AI teams
Privacy-preserving demographic substrate for training, bias testing, and realistic test data, with no privacy risk and a commercial license.
- Parquet / CSV / Arrow
- Pandas / Polars / PyTorch ready
- Validated to SRMSE 0.05
- Free 5k sample on Hugging Face
- Open-source bias validator
- Commercial license
Who uses this
- Realistic Australian data for student tutorials.Data
- Synthetic cohorts for simulation studies.Data
- Train models on realistic data, zero privacy risk.Data
- Realistic test data for staging environments.Data
- Customer demos without exposing real records.Data
- Demographic mix for grant applications.Data
- Income distributions for risk modelling.Data
Build your dataset
Configure a geography, preview it free, and download in seconds.