Australian Taxation Data - SMSF quarterly statistical report September 2025

Australian Taxation Data - SMSF quarterly statistical report September 2025 contains fact observations from the Australian Taxation Office self-managed-superannuation-funds collection. Each row is one workbook cell identified by source resource, sheet, row number, and column number; the published table has 18505 rows and covers the period represented by the source file. The source format is EXCEL (.XLSX), XLSX. Values are passed through from the source, so workbook-extracted tables may include header, label, and measure cells alongside numeric observations.

ato-self-managed-superannuation-funds--smsf-quarterly-statistical-report-september·9 columns·91 KB·Creative Commons Attribution 2.5 Australia·updated 2mo ago
ATO

Source: ATO · connector code

Schema

source_resource_idVARCHAR
source_resource_nameVARCHAR
source_formatVARCHAR
source_urlVARCHAR
income_yearVARCHAR
sheet_nameVARCHAR
row_numberINTEGER
column_numberINTEGER
valueVARCHAR

Get this dataset on your machine

subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier

pip install subsetsio
subsets sync --bundle small # or medium, or large
subsets serve # search + SQL at http://localhost:8080

Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →

Query it locally

Full docs →
Bash
subsets serve   # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
  -H "Content-Type: application/json" \
  -d '{"sql": "SELECT * FROM \"ato-self-managed-superannuation-funds--smsf-quarterly-statistical-report-september\" LIMIT 5"}'

No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.