Real Minimum Wages - RMW

Data - OECD

Author

François Geerolf

Info

LAST_DOWNLOAD

LAST_DOWNLOAD
2024-03-12

LAST_COMPILE

LAST_COMPILE
2025-12-26

Last, Monthly

obsTime Nobs
2022 140

SERIES

Code 
RMW %>%
  left_join(RMW_var$SERIES, by = c("SERIES")) %>%
  group_by(SERIES, Series) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
SERIES Series Nobs
EXR In 2021 constant prices at 2021 USD exchange rates 2727
PPP In 2021 constant prices at 2021 USD PPPs 2727

PERIOD

Code 
RMW %>%
  left_join(RMW_var$PERIOD, by = c("PERIOD")) %>%
  group_by(PERIOD, Period) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
PERIOD Period Nobs
A Annual 2728
H Hourly 2726

COUNTRY

Code 
RMW %>%
  left_join(RMW_var$COUNTRY, by = "COUNTRY") %>%
  group_by(COUNTRY, Country) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Country))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

obsTime

Code 
RMW %>%
  group_by(obsTime) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(obsTime)) %>%
  print_table_conditional()

2020

Code 
RMW %>%
  left_join(RMW_var$COUNTRY, by = "COUNTRY") %>%
  left_join(RMW_var$SERIES, by = "SERIES") %>%
  left_join(RMW_var$PERIOD, by = "PERIOD") %>%
  filter(obsTime == "2020") %>%
  select_if(~ n_distinct(.) > 1) %>%
  transmute(COUNTRY, Country,
            variable = paste0(Series, " - ", Period), obsValue) %>%
  spread(variable, obsValue) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Country))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

France, United States, Germany, Italy

PPP

Code 
RMW %>%
  filter(SERIES == "PPP",
         PERIOD == "H",
         COUNTRY %in% c("FRA", "USA", "DEU", "ITA", "ESP")) %>%
  left_join(RMW_var$COUNTRY, by = "COUNTRY") %>%
  year_to_date() %>%
  left_join(colors, by = c("Country" = "country")) %>%
  rename(Location = Country) %>%
  ggplot(.) + geom_line(aes(x = date, y = obsValue, color = color)) + 
  scale_color_identity() + add_4flags + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_log10(breaks = seq(1, 500, 1),
                     labels = scales::dollar_format(accuracy = 1)) +
  ylab("PPP") + xlab("")

EXR

Code 
RMW %>%
  filter(SERIES == "EXR",
         PERIOD == "H",
         COUNTRY %in% c("FRA", "USA", "DEU", "ITA", "ESP")) %>%
  left_join(RMW_var$COUNTRY, by = "COUNTRY") %>%
  year_to_date() %>%
  left_join(colors, by = c("Country" = "country")) %>%
  rename(Location = Country) %>%
  ggplot(.) + geom_line(aes(x = date, y = obsValue, color = color)) + 
  scale_color_identity() + add_4flags + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_log10(breaks = seq(1, 500, 1),
                     labels = scales::dollar_format(accuracy = 1)) +
  ylab("EXR") + xlab("")

Australia, Australia, Mexico, France

PPP

Code 
RMW %>%
  filter(SERIES == "PPP",
         PERIOD == "H",
         COUNTRY %in% c("AUS", "MEX", "USA", "FRA")) %>%
  left_join(RMW_var$COUNTRY, by = "COUNTRY") %>%
  year_to_date() %>%
  left_join(colors, by = c("Country" = "country")) %>%
  rename(Location = Country) %>%
  ggplot(.) + geom_line(aes(x = date, y = obsValue, color = color)) + 
  scale_color_identity() + add_4flags + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_log10(breaks = seq(1, 500, 1),
                     labels = scales::dollar_format(accuracy = 1)) +
  ylab("PPP") + xlab("")