R/data_abs_lga_work.R

#' LGA wise ABS work population data on different ages for year 2016
#'
#' A dataset containing Australian Bureau of Statistics labour force population
#'   data by lga for 2016. The data sourced from 2016 Census - Employment,
#'   Income and Education through TableBuilder have been randomly adjusted by
#'   the ABS to avoid the release of confidential data. As a result of this,
#'   there are some cases where the estimated number of people being employed
#'   is higher than the population of those people. Such cases have been
#'   flagged under the `anomaly_flag` variable.
#'
#' @format A data frame with 64,496 rows and 8 variables:
#' \describe{
#'   \item{year}{2016, as data is from 2016 Census of Population and Housing.}
#'   \item{state}{String denoting the abbreviated name of state or territory
#'     name such as 'NSW', 'VIC', 'QLD' etc.}
#'   \item{lga}{String denoting the official name of Local Government Area.
#'     For example, 'Albury (C).'}
#'   \item{age}{Ages from 0 to 115.}
#'   \item{employed_population}{Number of people employed including people
#'     with full-time, part-time employment status.}
#'   \item{total_population}{Total population of age in row.}
#'   \item{proportion}{The ratio of employed population and total population
#'      belonging to the age i.e, employed_population/ total_population.}
#'   \item{anomaly_flag}{Logical variable flagging abnormal observations, such
#'     as total population lesser than employed_population as TRUE.}
#' }
#' @source {Census of Population and Housing, 2016, TableBuilder}
"data_abs_lga_work"
njtierney/conmat documentation built on April 17, 2025, 10:27 p.m.