Unemployment rates by sex, age, country of birth and NUTS 2 regions (1999-2019) - lfst_r_lfur2gac

Data - Eurostat

Author

François Geerolf

Info

Last observation: Annual: 2025 (N = 33,020)

First observation: Annual: 1999 (N = 22,942)

Last data update: 11 aoû 2026, 19:50. Last compile: 12 aoû 2026, 01:16

Structure

20-64

Total

Code

lfst_r_lfur2gac |>
  filter(c_birth == "TOTAL",
         sex == "T",
         age == "Y20-64",
         nchar(geo) == 4,
         time == "2019") |>
  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(0, 100, 5),
                       values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Chômage")

Foreign

Code

lfst_r_lfur2gac |>
  filter(c_birth == "FOR",
         sex == "T",
         age == "Y20-64",
         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(0, 100, 5),
                       values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Chômage (né étranger)")

25-54

Total

Code

lfst_r_lfur2gac |>
  filter(c_birth == "TOTAL",
         sex == "T",
         age == "Y25-54",
         nchar(geo) == 4,
         time == "2019") |>
  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(0, 100, 5),
                       values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Chômage")