APRA Statistics Portal

The front door to every number Australia's prudential regulator publishes. The APRA Statistics Portal is the single discovery layer for the Australian Prudential Regulation Authority's statistical output — at the August 2026 capture it listed more than 75 entries, each tagged with an industry classification, a document type and a publication date, and each linking through to a detail page holding the underlying data files. All five APRA-regulated industries hang off it: banking, general insurance, life insurance, private health insurance and superannuation.

The named series behind the index read like a map of Australian financial-system data. Banking contributes the Monthly Authorised Deposit-taking Institution Statistics. General insurance contributes the Quarterly general insurance performance statistics, whose institution-level and aggregate databases reach back to December 2002, and the National Claims and Policies Database (NCPD) statistics covering policy and claim information for professional indemnity and public and product liability lines. Private health insurance adds quarterly performance statistics plus the annual coverage survey; superannuation adds quarterly product statistics, the industry publication and fund-level statistics.

Three facets make the shelf navigable: Industry (the five regulated sectors), Document type (nine enumerated categories — Statistical publication, Letter, Information paper, Media release, Opening statement, Speech, APRA's Annual Report, APRA's Corporate Plan and APRA Explains) and Date (all time, last 7 days, last 30 days, last 6 months, or any single year from 2015 to 2025), sortable newest- or oldest-first. Because new quarters and ad-hoc releases surface here first, watching the index prevents missed publications. Get a sample of this dataset and we cut rows toward the series you already track.

One row per indexed publication — three captured listings straight from the August 2026 research pass:

# one row per indexed statistical publication
title          : National Claims and Policies Database statistics
industry       : General insurance
document_type  : Statistical publication
published_date : 2026-07-03

title          : Quarterly general insurance performance statistics
industry       : General insurance
document_type  : Statistical publication
published_date : 2026-05-29

title          : Monthly Authorised Deposit-taking Institution Statistics
industry       : Banking
document_type  : Statistical publication
published_date : 2026-07-31

(Sample observations from the August 2026 research pass; fuller cuts ship with your sample.) Three things worth reading off them. First, the grain is deliberately shallow — four typed columns describing what exists, not the numbers themselves — because an index that stays stable while publications churn underneath is what makes release monitoring automatable. Second, document_type is doing real work: nine categories separate genuine statistical publications from media releases, speeches and corporate plans, so a monitoring job can exclude noise in one predicate instead of hand-triaging titles. Third, published_date turns the index into a diffable feed — snapshot it, snapshot it again next cycle, and the delta is the list of new releases.

Four columns describe every listing, defined below with examples taken from captured records. They are marked verified against the live page. The deeper payload — the reporting-form schemas inside the publications themselves — varies by series rather than by listing, so those column sets fold into 'additional fields on request' below: once your sample names the frames it needs (performance-statistics aggregates, claims-and-policies cells, ADI balance-sheet items), the corresponding dictionaries get pinned with examples.

Three chips summarize the footprint:

• Geography: Australia, national scope across all five APRA-regulated industries. General insurance figures break down by class of business and state, and the claims-and-policies series slices by state and territory — useful because catastrophe exposure and liability dockets concentrate unevenly across jurisdictions.
• Temporal: the index's own year filter spans 2015 to 2025, but the underlying series run much deeper — general insurance performance databases reach back to December 2002, and the claims-and-policies series covers policies and claims underwritten since 2003 through the December 2024 reference period. Institution-level general insurance detail survives in archives covering September 2017 to June 2023.
• Granularity: one row per indexed publication at the portal level; beneath it, release cycles span monthly, quarterly and annual depending on the series, and archived general insurance data descends to the individual authorised insurer.

Context for the collectors: this record scores 8/10 on Datadory's quality rubric against a catalogue average of 7.81 — a mark shared by 417 of the 1,744 datasets catalogued — and Australia-centred datasets are genuinely scarce, just 8 of 1,744. Set it against the rest of the shelf in our best reinsurance datasets ranking.

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks and set the cadence to match the decision being fed — bulk files for overnight warehouse loads, structured payloads for event-driven pipelines, spreadsheet-friendly extracts for analysts living in a BI tool. An index-shaped dataset rewards delta-style ingestion: delivered through one schema, each new pass appends the freshly surfaced publications beside the historical rows instead of overwriting them, so your release ledger accumulates rather than resets. Release-monitoring jobs suit hourly cadence; quarterly research refreshes run fine on weekly.

Four jobs this index does that no single publication can.

Monitor the regulator's release surface. New quarters, ad-hoc information papers and out-of-cycle statistical drops all land on one filtered shelf first. A scheduled diff of published_date catches them the day they appear — the difference between citing the latest quarter and citing the one you happened to remember.

Frame the Australian financial-services census. Publications surfaced through the index enumerate the population of authorised institutions across banking, general and life insurance, health insurance and superannuation — a regulator-maintained denominator for any market-sizing model.

Route from discovery to claims exposure. The index is the on-ramp to the claims-and-policies series: policy counts, risk counts, premium and deductible bands for professional indemnity and public and product liability — the cells casualty pricing and reinsurance recovery models are built from.

Cite with prudential-grade provenance. Every figure traces to the authority that supervises the entities behind it, which shortens the sourcing argument in board papers, journalism and academic work alike.

Market Researchers & Consultants anchor Australian financial-services sizing in one citable index spanning five regulated industries back to December 2002 — relevance scored 3 of 3 in our tagging. See market researchers.

Journalists, Academics & Students cite the prudential regulator's canonical statistics page across beats and coursework, with the release trail to back every figure. See journalists & academics.

Data Scientists & ML Engineers walk the filtered index programmatically to keep multi-series mirrors current, pulling the right publication per modeling task instead of re-finding it each quarter. See data scientists use cases.

Investors & Quants reach institution-level detail in archived general insurance releases and current aggregates for portfolio and macro work on Australian financials. See investors & quants.

• Australian Prudential Regulation Authority (APRA) — the regulator behind the whole shelf; the profile covers the operating model across all its statistical collections (profile).
• APRA Quarterly General Insurance Performance Statistics — the aggregate-performance sibling: premiums, claims incurred, underwriting result and capital adequacy by class of business and state (record).
• APRA National Claims and Policies Database (NCPD) — the claims-grain sibling: masked policy and claim cells for professional indemnity and public and product liability since 2003 (record).
• NOAA NCEI Billion-Dollar Weather and Climate Disasters — the catastrophe-loss counterweight to prudential statistics; we weigh the trade-off in our comparison vs NOAA NCEI Billion-Dollar Weather and Climate Disasters (comparison).
• NCPD vs Quarterly General Insurance Performance Statistics — the within-APRA head-to-head: claims-and-policy grain versus aggregate financial performance (comparison).
• Reinsurance data hub — every dataset in the industry, this one included (hub).