read_awe: read_awe

In readabs: Download and Tidy Time Series Data from the Australian Bureau of Statistics

read_awe

Description

Convenience function to obtain wage levels from ABS 6302.0, Average Weekly Earnings, Australia.

Usage

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
)

Arguments

wage_measure	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
sex	Character of length 1. Must be one of: persons, males, or females.
sector	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.
state	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.
na.rm	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.
path	See ?read_abs
show_progress_bars	See ?read_abs
check_local	See ?read_abs

Details

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.

Value

A tbl_df with four columns: date, sex, wage_measure and value. The data is nominal and seasonally adjusted.

Examples

## Not run: 
read_awe("awote", "persons")

## End(Not run)

readabs documentation built on Aug. 8, 2023, 9:06 a.m.