Last observation: 2025 (N = 15520)
First observation: 1999 (N = 12999)
Last data update: 14 aoû 2026, 21:07. Last compile: 18 aoû 2026, 01:56
Data - Eurostat
Last observation: 2025 (N = 15520)
First observation: 1999 (N = 12999)
Last data update: 14 aoû 2026, 21:07. Last compile: 18 aoû 2026, 01:56
lfst_r_lfe2emprt |>
filter(unit == "PC",
sex == "T",
age == "Y_GE15",
nchar(geo) == 4,
time == "2018") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -13.5, 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(20, 100, 5),
values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
theme_void() + theme(legend.position = c(0.15, 0.85)) +
labs(fill = "Employment 15+ (%)")
lfst_r_lfe2emprt |>
filter(unit == "PC",
sex == "T",
age == "Y_GE25",
nchar(geo) == 4,
time == "2018") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -13.5, 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(20, 100, 5),
values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
theme_void() + theme(legend.position = c(0.15, 0.85)) +
labs(fill = "Employment 25+ (%)")
lfst_r_lfe2emprt |>
filter(unit == "PC",
sex == "T",
age == "Y15-64",
nchar(geo) == 4,
time == "2018") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -13.5, 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(20, 100, 10),
values = c(0, 0.1, 0.3, 0.4, 0.6, 0.8, 1)) +
theme_void() + theme(legend.position = c(0.15, 0.85)) +
labs(fill = "Employment 15-64 (%)")
lfst_r_lfe2emprt |>
filter(unit == "PC",
sex == "T",
age == "Y25-64",
nchar(geo) == 4,
time == "2018") |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -13.5, 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(20, 100, 10),
values = c(0, 0.1, 0.3, 0.4, 0.6, 0.8, 1)) +
theme_void() + theme(legend.position = c(0.15, 0.85)) +
labs(fill = "Employment 25-64 (%)")