Unemployment rates by sex, age, citizenship and NUTS 2 regions - lfst_r_lfur2gan

Data - Eurostat

Author

François Geerolf

Info

Last observation: Annual: 2025 (N = 32,319)

First observation: Annual: 1999 (N = 26,042)

Last data update: 23 jul 2026, 22:12. Last compile: 24 jul 2026, 02:30

Structure

Y15-74 - FOR - Foreign country

Code

lfst_r_lfur2gan %>%
  filter(unit == "PC",
         citizen == "FOR",
         sex == "T",
         age == "Y15-74",
         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, 0.5, 0.7, 0.8, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Unemployment (%) \nForeign country")

Y15-64 - FOR - Foreign country

Code

lfst_r_lfur2gan %>%
  filter(unit == "PC",
         citizen == "FOR",
         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, 5),
                       values = c(0, 0.1, 0.3, 0.5, 0.7, 0.8, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Unemployment (%) \nForeign country")

NAT - National country

Code

lfst_r_lfur2gan %>%
  filter(unit == "PC",
         citizen == "NAT",
         sex == "T",
         age == "Y15-74",
         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, 0.3, 0.5, 0.7, 0.8, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Unemployment (%) \nNational country")