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One archive that argues with itself.

1,000+
datasets
297,064
series under test
1962
earliest observations

The national statistical spine: prices, labour, housing, trade, population. If Australia measures it, it starts here.

540
datasets
Monthly
typical cadence
1962
history to

Taxation statistics down to postcode level: incomes, deductions, occupations. The finest personal-finance grain in the archive.

Postcode
finest grain
Annual
cadence

Bank-by-bank lending and deposits, monthly. The credit-transmission data that connects rate decisions to real activity.

Per bank
finest grain
Monthly
cadence

Corporate insolvency appointments, company by company, week by week, split by industry and state.

Weekly
cadence
Industry
splits
data.gov.au

Thousands more datasets sit on data.gov.au: road deaths, gaming machines, visa grants, crime. Browse the catalogue from inside Primara and pull anything with a time axis straight onto a board.

Request a dataset
Bring your own

Your data is the other half of the story.

Upload a CSV with a date column, subscriber churn, FOI numbers, till receipts, and Primara joins it on time and tests it against the whole archive. One cross-tab away from a headline. It stays private to your newsroom.
Step 1

Drop the file

CSV or Excel, any shape with a date column. We find the join key.

Step 2

Matched on month

Your series aligns to the archive's clock: monthly or quarterly.

Step 3

Tested against everything

Every public series, every lag. Anything that clears the statistical bar surfaces.

Step 01
Collected

Pulled from each agency on its own release schedule.

Step 02
Aligned

Everything on one quarterly clock, growth-transformed.

Step 03
Tested

Every pair, every lag, with false-discovery control.

Step 04
Validated

Held out-of-sample before it's shown as a signal.

Methodology by Primara Research.