Convenience function to obtain wage levels from ABS 6302.0, Average Weekly Earnings, Australia.
read_awe(
wage_measure = c("awote", "ftawe", "awe"),
sex = c("persons", "males", "females"),
sector = c("total", "private", "public"),
state = c("all", "nsw", "vic", "qld", "sa", "wa", "tas", "nt", "act"),
na.rm = FALSE,
path = Sys.getenv("R_READABS_PATH", unset = tempdir()),
show_progress_bars = FALSE,
check_local = FALSE
)A tbl_df with four columns: date, sex, wage_measure and value.
The data is nominal and seasonally adjusted.
Character of length 1. Must be one of:
awote Average weekly ordinary time earnings; also known as Full-time adult ordinary time earnings
ftawe Full-time adult total earnings
awe Average weekly total earnings of all employees
Character of length 1. Must be one of: persons, males, or females.
Character of length 1. Must be one of: total, private, or
public. Note that you cannot get sector-by-state data; if state is not
all then sector must be total.
Character of length 1. Must be one of: all, nsw, vic, qld,
sa, wa, nt, or act. Note that you cannot get sector-by-state data;
if sector is not total then state must be all.
Logical. FALSE by default. If FALSE, a consistent quarterly
series is returned, with NA values for quarters in which there is no data.
If TRUE, only dates with data are included in the returned data frame.
See ?read_abs
See ?read_abs
See ?read_abs
The latest AWE data is available using read_abs(cat_no = "6302.0", tables = 2).
However, this time series only goes back to 2012, when the ABS switched
from quarterly to biannual collection and release of the AWE data. The
read_awe() function assembles on time series back to November 1983 quarter;
it is quarterly to 2012 and biannual from then. Note that the data
returned with this function is consistently quarterly; any quarters for
which there are no observations are recorded as NA unless na.rm = TRUE.
if (FALSE) {
read_awe("awote", "persons")
}
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