#' Load the State Population Sizes
#'
load_state_popsizes <- function(export = T) {
# load the census state population size estimates
#
state_popsizes <- openxlsx::read.xlsx(
system.file(
"us_state_populations/nst-est2019-01.xlsx",
package='osha.analysis'),
startRow=4,
colNames=T
)
# the first column is the state
colnames(state_popsizes)[1] <- 'state'
# remove the . that seems to be prefixed to many of the states
state_popsizes$state %<>% gsub("\\.", "", .)
# remove the last 5 rows which contain the following data:
#
# "Note: The estimates are based on the 2010 Census and reflect changes to the
# April 1, 2010 population due to the Count Question Resolution prog gram
# revisions See Geographic Terms and Definitions at
# http://wwwcensusgov/programs-surveys/popest/guidance-geographies/terms-and-definitionshtml
# fo that are included in each region All geographic boundaries for the 2019
# population estimates series except statistical area delineations are as of
# population estimates methodology statements, see
# http://wwwcensusgov/programs-surveys/popest/technical-documentation/methodologyhtml"
#
# "Suggested Citation:"
#
# "Table 1 Annual Estimates of the Resident Population for the United States,
# Regions, States, and Puerto Rico: April 1, 2010 to July 1, 2019 (NS
#
# "Source: US Census Bureau, Population Division"
#
# "Release Date: December 2019"
state_popsizes <- state_popsizes[1:(nrow(state_popsizes)-5),]
if (export) {
state_popsizes <<- state_popsizes
}
return(invisible(state_popsizes))
}
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