Get Historical National Estimates from ABARES
get_historical_national_estimates.RdGet Historical National Estimates from ABARES
Value
A data.table::data.table object
Examples
get_historical_national_estimates()
#> Variable Year Value RSE Industry
#> <char> <int> <num> <int> <char>
#> 1: AI stud fees and herd testing ($) 1990 790 39 All Broadacre
#> 2: Accounting services ($) 1990 2850 4 All Broadacre
#> 3: Advisory services ($) 1990 280 37 All Broadacre
#> 4: Age of owner manager (yrs) 1990 53 1 All Broadacre
#> 5: Age of spouse (yrs) 1990 49 1 All Broadacre
#> ---
#> 30059: Wheat receipts ($) 2022 11100 40 Sheep-Beef
#> 30060: Wheat sold (t) 2022 32 44 Sheep-Beef
#> 30061: Wool cut per head (kg) 2022 4 5 Sheep-Beef
#> 30062: Wool produced (kg) 2022 12294 31 Sheep-Beef
#> 30063: Wool receipts ($) 2022 150100 41 Sheep-Beef
# or shorter
get_hist_nat_est()
#> Variable Year Value RSE Industry
#> <char> <int> <num> <int> <char>
#> 1: AI stud fees and herd testing ($) 1990 790 39 All Broadacre
#> 2: Accounting services ($) 1990 2850 4 All Broadacre
#> 3: Advisory services ($) 1990 280 37 All Broadacre
#> 4: Age of owner manager (yrs) 1990 53 1 All Broadacre
#> 5: Age of spouse (yrs) 1990 49 1 All Broadacre
#> ---
#> 30059: Wheat receipts ($) 2022 11100 40 Sheep-Beef
#> 30060: Wheat sold (t) 2022 32 44 Sheep-Beef
#> 30061: Wool cut per head (kg) 2022 4 5 Sheep-Beef
#> 30062: Wool produced (kg) 2022 12294 31 Sheep-Beef
#> 30063: Wool receipts ($) 2022 150100 41 Sheep-Beef