README (original) (raw)
The Economic Policy Institute (https://www.epi.org/) provides researchers, media, and the public with easily accessible, up-to-date, and comprehensive historical data on the American labor force. It is compiled from Economic Policy Institute analysis of government data sources. Use it to research wages, inequality, and other economic indicators over time and among demographic groups. Data is usually updated monthly.
install.packages("epidata") # NOTE: CRAN version is 0.3.0
# or
install.packages("epidata", repos = c("https://cinc.rud.is", "https://cloud.r-project.org/"))
# or
remotes::install_git("https://git.rud.is/hrbrmstr/epidata.git")
# or
remotes::install_git("https://git.sr.ht/~hrbrmstr/epidata")
# or
remotes::install_gitlab("hrbrmstr/epidata")
# or
remotes::install_github("hrbrmstr/epidata")NOTE: To use the ‘remotes’ install options you will need to have the{remotes} packageinstalled.
library(epidata)
# current version
packageVersion("epidata")
## [1] '0.4.0'NOTE: You can use options(epidata.show.citation = FALSE)to disable the messages that show citation requirements and notes about the datasets. Please remember that EPI requires attribution and that the notes convey very important information about the datasets.
get_black_white_wage_gap()
## # A tibble: 47 x 8
## date white_median white_average black_median black_average gap_median gap_average gap_regression_based
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1973 17.9 20.7 14.0 16.3 0.223 0.215 NA
## 2 1974 17.5 20.3 14.0 16.0 0.198 0.209 NA
## 3 1975 17.4 20.4 14.1 16.1 0.191 0.208 NA
## 4 1976 17.5 20.5 14.2 16.8 0.19 0.182 NA
## 5 1977 17.5 20.4 14.2 16.5 0.188 0.19 NA
## 6 1978 17.7 20.5 14.2 16.7 0.201 0.186 NA
## 7 1979 17.4 20.7 14.6 17.1 0.164 0.173 0.086
## 8 1980 17.4 20.3 14.4 16.7 0.173 0.174 0.086
## 9 1981 17.0 20.2 14.0 16.6 0.175 0.174 0.0820
## 10 1982 17.2 20.4 13.9 16.5 0.194 0.191 0.099
## # … with 37 more rows
get_underemployment()
## # A tibble: 367 x 2
## date all
## <date> <dbl>
## 1 1989-12-01 0.094
## 2 1990-01-01 0.093
## 3 1990-02-01 0.094
## 4 1990-03-01 0.094
## 5 1990-04-01 0.094
## 6 1990-05-01 0.094
## 7 1990-06-01 0.094
## 8 1990-07-01 0.094
## 9 1990-08-01 0.095
## 10 1990-09-01 0.096
## # … with 357 more rows
get_median_and_mean_wages("gr")
## # A tibble: 47 x 25
## date median average men_median men_average women_median women_average white_median white_average black_median
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1973 17.3 20.1 21.0 23.6 13.2 15.1 17.9 20.7 14.0
## 2 1974 16.9 19.7 20.7 23.1 13 14.9 17.5 20.3 14.0
## 3 1975 16.9 19.8 21.0 23.1 13.2 15.1 17.4 20.4 14.1
## 4 1976 16.9 20.0 20.7 23.4 13.3 15.4 17.5 20.5 14.2
## 5 1977 16.9 19.9 20.9 23.4 13.2 15.2 17.5 20.4 14.2
## 6 1978 17.1 19.9 21.2 23.5 13.2 15.3 17.7 20.5 14.2
## 7 1979 16.8 20.1 21.1 23.7 13.4 15.5 17.4 20.7 14.6
## 8 1980 16.7 19.7 20.9 23.2 13.3 15.3 17.4 20.3 14.4
## 9 1981 16.5 19.6 20.4 23.0 13.4 15.3 17.0 20.2 14.0
## 10 1982 16.4 19.8 20.4 23.2 13.2 15.6 17.2 20.4 13.9
## # … with 37 more rows, and 15 more variables: black_average <dbl>, hispanic_median <dbl>, hispanic_average <dbl>,
## # white_men_median <dbl>, white_men_average <dbl>, black_men_median <dbl>, black_men_average <dbl>,
## # hispanic_men_median <dbl>, hispanic_men_average <dbl>, white_women_median <dbl>, white_women_average <dbl>,
## # black_women_median <dbl>, black_women_average <dbl>, hispanic_women_median <dbl>, hispanic_women_average <dbl>library(tidyverse)
library(epidata)
library(ggrepel)
library(hrbrthemes)
unemployment <- get_unemployment()
wages <- get_median_and_mean_wages()
glimpse(wages)
## Rows: 47
## Columns: 3
## $ date <dbl> 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989,…
## $ median <dbl> 17.27, 16.93, 16.94, 16.90, 16.92, 17.07, 16.79, 16.68, 16.50, 16.43, 16.47, 16.55, 16.81, 16.92, 17.…
## $ average <dbl> 20.09, 19.72, 19.77, 19.99, 19.88, 19.92, 20.10, 19.70, 19.59, 19.76, 19.80, 19.87, 20.08, 20.57, 20.…
glimpse(unemployment)
## Rows: 510
## Columns: 2
## $ date <date> 1978-01-01, 1978-02-01, 1978-03-01, 1978-04-01, 1978-05-01, 1978-06-01, 1978-07-01, 1978-08-01, 1978-09…
## $ all <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.061, 0.061, 0.060, 0.060, 0.059, 0.059, 0.059, 0.058, 0.05…
unemployment %>%
group_by(date = as.integer(lubridate::year(date))) %>%
summarise(rate = mean(all)) %>%
left_join(select(wages, date, median), by = "date") %>%
filter(!is.na(median)) %>%
arrange(date) -> xdf
cols <- ggthemes::tableau_color_pal()(3)
update_geom_font_defaults(font_rc)
ggplot(xdf, aes(rate, median)) +
geom_path(
color = cols[1],
arrow = arrow(
type = "closed",
length = unit(10, "points")
)
) +
geom_point() +
geom_label_repel(
aes(label = date),
alpha = c(1, rep((4/5), (nrow(xdf)-2)), 1),
size = c(5, rep(3, (nrow(xdf)-2)), 5),
color = c(cols[2], rep("#2b2b2b", (nrow(xdf)-2)), cols[3]),
family = font_rc
) +
scale_x_continuous(
name = "Unemployment Rate",
expand = c(0,0.001), label = scales::percent
) +
scale_y_continuous(
name = "Median Wage",
expand = c(0,0.25),
label = scales::dollar
) +
labs(
title = "U.S. Unemployment Rate vs Median Wage Since 1978",
subtitle = "Wage data is in 2015 USD",
caption = "Source: EPI analysis of Current Population Survey Outgoing Rotation Group microdata"
) +
theme_ipsum_rc(grid="XY")Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.