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
)
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
A tbl_df
with four columns: date
, sex
, wage_measure
and value
.
The data is nominal and seasonally adjusted.
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) { # \dontrun{
read_awe("awote", "persons")
} # }