The Australian Bureau of Statistics and Statistics New Zealand use a number of common definitions.
Occupations and their hierarchy are defined by the Australian and New Zealand Standard Classification of Occupations, 2013, Version 1.2
The package was made using DataPackageR and loosely follows the process described by Greg Finak here
The script data-raw/tidy_anzsco.Rmd loads the definitions spreadsheet provided by ABS and StatsNZ and
converts it into per-occupation long-form.
- Install devtools
install.packages('devtools') - Install ANZSCO from github
devtools::install_github('nzherald/ANZSCO') - Load the ANZSCO package
library(ANZSCO)
Use this when you have occupation data and you want to be able to group the higher level categories
library(tidyverse)
library(ANZSCO)
data <- read_csv(SOME_OCCUPATION_DATA) %>%
left_join(anzsco, by=c(OCCUPATION_COLUMN=Occupation))
This will create a data frame where each row also has all of its ANZSCO definitions.
If you are not working with occupation level data just group the anzsco data accordingly.
minor_groups <- anzsco %>% group_by(Major.Group, Sub.Major.Group, Minor.Group)
The anzsco data frame also contains columns with the numeric identifiers for each occupation etc.
There is a CSV copy of the tidy data inst/extdata/anzsco.csv
The code is released under and MIT licence and the data is available under a creative commons attribution license.
The data was originally licensed as