R/V4_T2.6b.R

In Shelmith-Kariuki/rKenyaCensus2019: 2019 Kenya Population and Housing Census Results

#' Volume 4: Table 2.6b
#'
#' Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status,
#'  Sex, Special Age Groups and County
#' @docType data
#'
#' @usage data(V4_T2.6b)
#'
#' @format A data frame with 23 variables
#' \describe{
#' \item{\code{County}}{County}
#' \item{\code{Age}}{Age}
#' \item{\code{Total}}{Total}
#' \item{\code{Male}}{Number of males}
#' \item{\code{Female}}{Number of females}
#' \item{\code{StillinSchool_Total}}{Total number of persons still in school / a learning institution.}
#' \item{\code{StillinSchool_Male}}{Number of males still in school / a learning institution.}
#' \item{\code{StillinSchool_Female}}{Number of females still in school / a learning institution.}
#' \item{\code{LeftSchoolAfterC_Total}}{Total number of persons who left school / a learning institution, after completion.}
#' \item{\code{LeftSchoolAfterC_Male}}{Number of males who left school / a learning institution, after completion.}
#' \item{\code{LeftSchoolAfterC_Female}}{Number of females who left school / a learning institution, after completion.}
#' \item{\code{LeftSchoolBeforeC_Total}}{Total number of persons who left school / a learning institution, before completion.}
#' \item{\code{LeftSchoolBeforeC_Male}}{Number of males who left school / a learning institution, before completion.}
#' \item{\code{LeftSchoolBeforeC_Female}}{Number of females who left school / a learning institution, before completion.}
#' \item{\code{NeverbeentoSchool_Total}}{Total number of persons who have never been to a school / a learning institution.}
#' \item{\code{NeverbeentoSchool_Male}}{Number of males who have never been to a school / a learning institution.}
#' \item{\code{NeverbeentoSchool_Female}}{Number of females who have never been to a school / a learning institution.}
#' \item{\code{...}}{The other variables indicate situations where the state of school attendance is not known / not stated.}
#' }
#' Intersex population is excluded from the table since it is too small to be distributed at sub-national level.
#'
#' @keywords datasets
"V4_T2.6b"