Employees by educational attainment level, sex, age and occupation (%) - edat_lfs_9905
Data - Eurostat
Info
Last observation: Annual: 2025 (N = 118,068)
First observation: Annual: 2004 (N = 71,696)
Last data update: 23 jul 2026, 23:04. Last compile: 24 jul 2026, 01:18
Structure
isced11
Code
load_data("eurostat/isced11_fr.RData")
edat_lfs_9905 %>%
group_by(isced11, Isced11) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| isced11 | Isced11 | Nobs |
|---|---|---|
| ED0-2 | Less than primary, primary and lower secondary education (levels 0-2) | 431040 |
| ED3-8 | Upper secondary, post-secondary non-tertiary and tertiary education (levels 3-8) | 431040 |
| ED3_4 | Upper secondary and post-secondary non-tertiary education (levels 3 and 4) | 431040 |
| ED5-8 | Tertiary education (levels 5-8) | 431040 |
| ED34_44 | Upper secondary and post-secondary non-tertiary education - general (levels 34 and 44) | 132830 |
| ED35_45 | Upper secondary and post-secondary non-tertiary education - vocational (levels 35 and 45) | 132830 |
France, EU, Italy, Germany, Spain, Netherlands
15-74, peu d’éducation
Code
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_5flags +
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
Code
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_5flags +
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
Code
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_5flags +
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))