Australian Taxation Data - Individuals Table 10B (CSV)

Australian Taxation Data - Individuals Table 10B (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 2711 rows and covers income years 2014-15 through 2015-16. 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-10b-csv·82 columns·686 KB·Creative Commons Attribution 2.5 Australia·updated 2mo ago
ATO

Source: ATO · connector code

Schema

income_yearVARCHAR
taxable_income_rangeVARCHAR
total_income_or_loss_rangeVARCHAR
number_of_individuals_noVARCHAR
salary_or_wages_noVARCHAR
salary_or_wagesVARCHAR
total_income_or_loss_noVARCHAR
total_income_or_lossVARCHAR
total_work_related_car_expenses_noVARCHAR
total_work_related_car_expensesVARCHAR
work_related_travel_expenses_noVARCHAR
work_related_travel_expensesVARCHAR
total_work_related_uniform_clothing_expenses_noVARCHAR
total_work_related_uniform_clothing_expensesVARCHAR
total_work_related_self_education_expenses_noVARCHAR
total_work_related_self_education_expensesVARCHAR
other_work_related_expenses_noVARCHAR
other_work_related_expensesVARCHAR
gifts_or_donations_noVARCHAR
gifts_or_donationsVARCHAR
cost_of_managing_tax_affairs_noVARCHAR
cost_of_managing_tax_affairsVARCHAR
total_deductions_noVARCHAR
total_deductionsVARCHAR
capital_gains_net_capital_gain_noVARCHAR
capital_gains_net_capital_gainVARCHAR
net_rent_profit_noVARCHAR
net_rent_profitVARCHAR
net_rent_loss_noVARCHAR
net_rent_lossVARCHAR
net_rent_noVARCHAR
net_rentVARCHAR
total_business_income_noVARCHAR
total_business_incomeVARCHAR
total_business_expenses_noVARCHAR
total_business_expensesVARCHAR
net_income_or_loss_from_business_noVARCHAR
net_income_or_loss_from_businessVARCHAR
taxable_income_or_loss_noVARCHAR
taxable_income_or_lossVARCHAR
net_tax_noVARCHAR
net_taxVARCHAR
income_year_1VARCHAR
number_of_individuals_no_1VARCHAR
salary_or_wages_no_1VARCHAR
salary_or_wages_1VARCHAR
total_income_or_loss_no_1VARCHAR
total_income_or_loss_1VARCHAR
total_work_related_car_expenses_no_1VARCHAR
total_work_related_car_expenses_1VARCHAR
work_related_travel_expenses_no_1VARCHAR
work_related_travel_expenses_1VARCHAR
total_work_related_uniform_clothing_expenses_no_1VARCHAR
total_work_related_uniform_clothing_expenses_1VARCHAR
total_work_related_self_education_expenses_no_1VARCHAR
total_work_related_self_education_expenses_1VARCHAR
other_work_related_expenses_no_1VARCHAR
other_work_related_expenses_1VARCHAR
gifts_or_donations_no_1VARCHAR
gifts_or_donations_1VARCHAR
cost_of_managing_tax_affairs_no_1VARCHAR
cost_of_managing_tax_affairs_1VARCHAR
total_deductions_no_1VARCHAR
total_deductions_1VARCHAR
capital_gains_net_capital_gain_no_1VARCHAR
capital_gains_net_capital_gain_1VARCHAR
net_rent_profit_no_1VARCHAR
net_rent_profit_1VARCHAR
net_rent_loss_no_1VARCHAR
net_rent_loss_1VARCHAR
net_rent_no_1VARCHAR
net_rent_1VARCHAR
total_business_income_no_1VARCHAR
total_business_income_1VARCHAR
total_business_expenses_no_1VARCHAR
total_business_expenses_1VARCHAR
net_income_or_loss_from_business_no_1VARCHAR
net_income_or_loss_from_business_1VARCHAR
taxable_income_or_loss_no_1VARCHAR
taxable_income_or_loss_1VARCHAR
net_tax_no_1VARCHAR
net_tax_1VARCHAR

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-10b-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.