Dispersion of regional unemployment rates by NUTS 3 regions (%) - lfst_r_lmdur

Data - Eurostat

Info

Last observation: Annual: 2025 (N = 390)

First observation: Annual: 1999 (N = 275)

Last data update: 11 aoû 2026, 21:23. Last compile: 12 aoû 2026, 01:17

Structure

freq

statinfo

sex

age

unit

geo

Regional Unemployment Dispersion (NUTS2): France, Germany, Italy, Spain

lfst_r_lmdur |>
  filter(geo %in% c("FR", "DE", "IT", "ES"),
         statinfo == "DISP_NUTS2",
         sex == "T",
         age == "Y15-74") |>
  year_to_date() |>

  left_join(colors, by = c("Geo" = "country")) |>
  mutate(values = values/100) |>
  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(1995, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Dispersion of regional unemployment rates (NUTS2)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

France: NUTS2 Dispersion by Sex

lfst_r_lmdur |>
  filter(geo == "FR",
         statinfo == "DISP_NUTS2",
         sex %in% c("F", "M"),
         age == "Y15-74") |>
  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(1995, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Dispersion of regional unemployment rates (NUTS2)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Latest Year by Country

latest_y <- lfst_r_lmdur |>
  filter(statinfo == "DISP_NUTS2",
         sex == "T",
         age == "Y15-74",
         geo == "EU27_2020",
         !is.na(values)) |>
  summarise(m = max(time)) |>
  pull(m)

lfst_r_lmdur |>
  filter(statinfo == "DISP_NUTS2",
         sex == "T",
         age == "Y15-74",
         time == latest_y,
         !is.na(values)) |>
  mutate(values = round(values, 1)) |>
  select(Geo, values) |>
  arrange(-values) |>
  print_table_conditional()

Geo	values
Italy	57.2
European Union - 27 countries (from 2020)	51.4
Belgium	45.3
Bulgaria	44.3
Romania	44.2
Austria	40.6
Czechia	37.5
Hungary	35.1
Switzerland	31.7
Spain	28.2
Poland	25.8
Germany	23.3
Greece	23.3
France	22.1
Türkiye	17.0
Netherlands	15.7
Portugal	13.3
Sweden	10.9
Norway	10.3
Finland	9.1
Denmark	6.9