Employees by educational attainment level, sex, age and occupation (%) - edat_lfs_9905

Data - Eurostat

Info

Last observation: 2025 (N = 90787)

First observation: 2004 (N = 52452)

Last data update: 14 aoû 2026, 22:30. Last compile: 18 aoû 2026, 00:23

Structure

freq

unit

sex

isco08

isced11

age

geo

France, EU, Italy, Germany, Spain, Netherlands

15-74, peu d’éducation

edat_lfs_9905 |>
  filter(isced11 == "ED0-2",
         age == "Y15-74",
         geo %in% c("EA19", "DE", "ES", "FR", "IT"),
         isco08 == "TOTAL",
         sex == "T") %>%
  select_if(~ n_distinct(.) > 1) |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "EA19", color2, color)) |>
  mutate(color = ifelse(geo == "ES", color2, color)) |>
  mutate(values = values / 100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("% Employés du 1er cycle de l'enseignement secondaire") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-500, 200, 2),
                     labels = percent_format(accuracy = 1))

Education moyenne

edat_lfs_9905 |>
  filter(isced11 == "ED3_4",
         age == "Y15-74",
         isco08 == "TOTAL",
         geo %in% c("EA19", "DE", "ES", "FR", "IT"),
         sex == "T") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "EA19", color2, color)) |>
  mutate(color = ifelse(geo == "ES", color2, color)) |>
  mutate(values = values / 100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("% Employés des niveaux 3 et 4") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-500, 200, 2),
                     labels = percent_format(accuracy = 1))

Enseignement supérieur

edat_lfs_9905 |>
  filter(isced11 == "ED5-8",
         age == "Y15-74",
         geo %in% c("EA19", "DE", "ES", "FR", "IT"),
         isco08 == "TOTAL",
         sex == "T") |>
  year_to_date() |>
  filter(date >= as.Date("1995-01-01")) |>
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "EA19", color2, color)) |>
  mutate(color = ifelse(geo == "ES", color2, color)) |>
  mutate(values = values / 100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + 
  theme_minimal() + xlab("") + ylab("% Employés des niveaux 5 à 8") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-500, 200, 2),
                     labels = percent_format(accuracy = 1))