Australian Taxation Data - Companies Table 5: Selected items and financial ratios, by company size, taxable status, profit status and broad industry, 2012–13 income year.

Australian Taxation Data - Companies Table 5: Selected items and financial ratios, by company size, taxable status, profit status and broad industry, 2012–13 income year. contains fact observations from the Australian Taxation Office taxation-statistics collection. Each row is one workbook cell identified by source resource, sheet, row number, and column number; the published table has 3926 rows and covers income year 2012-13. The source format is EXCEL (.XLSX). Values are passed through from the source, so workbook-extracted tables may include header, label, and measure cells alongside numeric observations.

ato-taxation-statistics--companies-table-5-selected-items-and-financial-ratios-by-company-size-taxable-status-profit-status-and-broad-industry-income-year·9 columns·44 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-taxation-statistics--companies-table-5-selected-items-and-financial-ratios-by-company-size-taxable-status-profit-status-and-broad-industry-income-year\" 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.