Last observation: 2025 (N = 5223)
First observation: 1999 (N = 4553)
Last data update: 14 aoû 2026, 19:41. Last compile: 18 aoû 2026, 04:42
Data - Eurostat
Last observation: 2025 (N = 5223)
First observation: 1999 (N = 4553)
Last data update: 14 aoû 2026, 19:41. Last compile: 18 aoû 2026, 04:42
yth_empl_140 |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL"),
sex == "T",
age == "Y15-29") |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100) |>
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(1996, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Youth unemployment rate (15-29)") +
scale_y_continuous(labels = scales::percent_format(accuracy = 1))
yth_empl_140 |>
filter(geo == "FR",
sex %in% c("M", "F"),
age == "Y15-29") |>
year_to_date() |>
mutate(values = values/100) |>
ggplot() + geom_line(aes(x = date, y = values, color = Sex)) +
theme_minimal() +
scale_x_date(breaks = as.Date(paste0(seq(1996, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Youth unemployment rate (15-29)") +
scale_y_continuous(labels = scales::percent_format(accuracy = 1))
yth_empl_140 |>
filter(time == "2015",
nchar(geo) == 4,
sex == "T",
age == "Y15-29") |>
select(geo, Geo, unemployment = values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}yth_empl_140 |>
filter(time == "2015",
nchar(geo) == 4,
sex == "T",
age == "Y15-29") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = values/100)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::percent_format(accuracy = 1),
breaks = 0.01*seq(0, 50, 5),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Youth Unemployment (%)")
yth_empl_140 |>
filter(time == "2015",
nchar(geo) == 4,
sex == "T",
age == "Y15-29") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = values/100)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::percent_format(accuracy = 1),
breaks = 0.01*seq(0, 50, 5),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Chômage des jeunes (%)")