| LAST_DOWNLOAD |
|---|
| NA |
Real Minimum Wages - RMW
Data - OECD
Info
LAST_DOWNLOAD
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2026-08-13 |
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$COUNTRY, by = "COUNTRY") |>
year_to_date() |>
left_join(colors, by = c("Country" = "country")) |>
rename(Location = Country) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_4flags + theme_minimal() +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(1, 500, 1),
labels = scales::dollar_format(accuracy = 1)) +
ylab("PPP") + xlab("")
EXR
Code
RMW |>
filter(SERIES == "EXR",
PERIOD == "H",
COUNTRY %in% c("FRA", "USA", "DEU", "ITA", "ESP")) |>
left_join(RMW_var$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, 2100, 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, 2100, 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("")