Individual Taxation Statistics snapshot

Returns the Individuals Table 1 snapshot: aggregate counts, total income, taxable income, tax payable, and deductions across all individual returns (roughly 14 million per year). The snapshot is the headline table; for finer cuts use the dedicated functions:

• ato_individuals_postcode() for geographic breakdowns,

• ato_individuals_occupation() for occupation × sex × income-range detail, or

• ato_download() with a custom pattern for specific Tables 2 to 27 (age, sex, state, industry, source of income, deductions, offsets, CGT, non-residents).

Usage

ato_individuals(year = "latest")

Source

Australian Taxation Office Taxation Statistics https://www.ato.gov.au/about-ato/research-and-statistics/. Licensed CC BY 2.5 AU.

Arguments

year

Year in "YYYY-YY" form (e.g. "2022-23") or "latest". "latest" resolves to the most recently published release (currently 2022-23).

Value

An ato_tbl with one row per aggregate line-item and columns for count and amount in nominal AUD.

Details

Monetary values are nominal AUD of the reporting year. Use inflateR::inflate() or the ABS CPI series if you need real-term comparisons.

See also

Other individuals: ato_individuals_age(), ato_individuals_occupation(), ato_individuals_postcode(), ato_individuals_sex(), ato_individuals_state()

Examples

# \donttest{
op <- options(ato.cache_dir = tempdir())
try({
  ind <- ato_individuals(year = "2022-23")
  head(ind)
})
#> ℹ Downloading <https://data.gov.au/data/dataset/03326c3f-c0d3-4af4-afc7-c6ccc0a…
#> ✔ Downloading <https://data.gov.au/data/dataset/03326c3f-c0d3-4af4-afc7-c6ccc0a…
#> 
#> # ato_tbl: ATO individuals snapshot 2022-23
#> # Source:   https://data.gov.au/data/dataset/03326c3f-c0d3-4af4-afc7-c6ccc0a02223/resource/a5931887-8d4f-48a8-89ab-571ca0d56bc7/download/ts23snapshot01historicalratesofpersonalincometax.xlsx
#> # Licence:  CC BY 2.5 AU
#> # Retrieved: 2026-04-28 19:13 UTC 
#> # Snapshot: 2026-04-24
#> # SHA-256:  2e0efce4b93d9257...
#> # Rows: 6  Cols: 6
#> 
#>                                                        s_d          
#> 1   0 100 <NA>             Nil         +    1 d for each £ <NA> <NA>
#> 2 100 150 <NA> 0    8  4 +     6 d for each £ over     100 <NA> <NA>
#> 3 150 200 <NA>   1  13  4 +   11 d for each £ over     150 <NA> <NA>
#> 4 200 250 <NA>   3  19  2 +   16 d for each £ over     200 <NA> <NA>
#> 5 250 300 <NA>   7   5 10 +   21 d for each £ over     250 <NA> <NA>
#> 6 300 400 <NA>  11  13  4 +   26 d for each £ over     300 <NA> <NA>
options(op)
# }