#' 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"
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