Australian Taxation Data - Individuals Table 19A (CSV)

Australian Taxation Data - Individuals Table 19A (CSV) contains fact observations from the Australian Taxation Office taxation-statistics collection. Each row is one published record from the source file; the published table has 19 rows and covers income year 2014-15. The source format is CSV. Values are passed through from the source, so workbook-extracted tables may include header, label, and measure cells alongside numeric observations.

ato-taxation-statistics--individuals-table-19a-csv·48 columns·24 KB·Creative Commons Attribution 2.5 Australia·updated 2mo ago
ATO

Source: ATO · connector code

Schema

state_territory_of_rental_propertyVARCHAR
net_rent_positionVARCHAR
rental_property_schedules_noVARCHAR
rental_income_noVARCHAR
rental_incomeVARCHAR
other_rental_income_noVARCHAR
other_rental_incomeVARCHAR
advertising_for_tenants_noVARCHAR
advertising_for_tenantsVARCHAR
body_corporate_fees_noVARCHAR
body_corporate_feesVARCHAR
borrowing_expenses_noVARCHAR
borrowing_expensesVARCHAR
cleaning_expenses_noVARCHAR
cleaning_expensesVARCHAR
council_rates_noVARCHAR
council_ratesVARCHAR
plant_depreciation_noVARCHAR
plant_depreciationVARCHAR
gardening_lawn_moving_expenses_noVARCHAR
gardening_lawn_moving_expensesVARCHAR
insurance_noVARCHAR
insuranceVARCHAR
interest_on_loan_s_noVARCHAR
interest_on_loan_sVARCHAR
land_tax_noVARCHAR
land_taxVARCHAR
legal_fees_noVARCHAR
legal_feesVARCHAR
pest_control_noVARCHAR
pest_controlVARCHAR
property_agent_fees_commission_noVARCHAR
property_agent_fees_commissionVARCHAR
repairs_and_maintenance_noVARCHAR
repairs_and_maintenanceVARCHAR
stationary_telephone_and_postage_noVARCHAR
stationary_telephone_and_postageVARCHAR
travel_expenses_noVARCHAR
travel_expensesVARCHAR
water_charges_noVARCHAR
water_chargesVARCHAR
sundry_rental_expenses_noVARCHAR
sundry_rental_expensesVARCHAR
capital_works_deduction_noVARCHAR
capital_works_deductionVARCHAR
net_rental_income_noVARCHAR
net_rental_incomeVARCHAR
income_yearVARCHAR

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--individuals-table-19a-csv\" 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.