Last observation: 2025 (N = 80)
First observation: 2014 (N = 86)
Last data update: 14 aoû 2026, 22:34. Last compile: 18 aoû 2026, 04:27
Data - Eurostat
Last observation: 2025 (N = 80)
First observation: 2014 (N = 86)
Last data update: 14 aoû 2026, 22:34. Last compile: 18 aoû 2026, 04:27
tec00013 |>
filter(geo %in% c("FR", "DE", "PT"),
unit == "PC_GDP") |>
year_to_enddate() |>
mutate(values = values/100) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values, color = color) +
scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.7, 0.55),
legend.title = element_blank()) +
xlab("") + ylab("Compensation of employees") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
tec00013 |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL"),
unit == "CP_MEUR") |>
year_to_enddate() |>
mutate(values = values/1e6) |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(color = ifelse(geo == "NL", color2, color)) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(2000, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Compensation of employees (Bn€)")
latest_yr <- tec00013 |>
filter(unit == "PC_GDP", nchar(geo) == 2, !is.na(values)) |>
summarise(m = max(time)) |>
pull(m)
tec00013 |>
filter(unit == "PC_GDP", nchar(geo) == 2, time == latest_yr) |>
select(geo, Geo, `Compensation of employees (% GDP)` = values) |>
arrange(desc(`Compensation of employees (% GDP)`)) |>
print_table_conditional()