Harmonised unemployment (1 000) - monthly data - ei_lmhu_m

Data - Eurostat

Author

François Geerolf

Info

Last observation: Monthly: 2026M06 (N = 54)

First observation: Monthly: 1983M01 (N = 174)

Last data update: 23 jul 2026, 23:04. Last compile: 24 jul 2026, 01:27

Structure

France, Germany, Spain, Italy, United States

Total Unemployment (Seasonally Adjusted)

Code

ei_lmhu_m %>%
  filter(geo %in% c("FR", "DE", "ES", "IT", "US"),
         indic == "LM-UN-T-TOT",
         s_adj == "SA") %>%
  month_to_date %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/1000) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal() + scale_color_identity() + add_5flags +
  scale_x_date(breaks = as.Date(paste0(seq(1983, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployed persons (millions, SA)")

France

Unemployment by Sex (Seasonally Adjusted)

Code

ei_lmhu_m %>%
  filter(geo == "FR",
         indic %in% c("LM-UN-M-TOT", "LM-UN-F-TOT"),
         s_adj == "SA") %>%
  month_to_date %>%
  mutate(values = values/1000,
         Sex = ifelse(indic == "LM-UN-M-TOT", "Males", "Females")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = Sex)) +
  theme_minimal() +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  scale_x_date(breaks = as.Date(paste0(seq(1983, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployed persons (millions, SA)")

Unemployment by Age Group (Seasonally Adjusted)

Code

ei_lmhu_m %>%
  filter(geo == "FR",
         indic %in% c("LM-UN-T-LE25", "LM-UN-T-GT25"),
         s_adj == "SA") %>%
  month_to_date %>%
  mutate(values = values/1000,
         Age = ifelse(indic == "LM-UN-T-LE25", "Under 25", "Over 25")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = Age)) +
  theme_minimal() +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  scale_x_date(breaks = as.Date(paste0(seq(1983, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Unemployed persons (millions, SA)")

Latest Month by Country

Code

latest_m <- ei_lmhu_m %>%
  filter(indic == "LM-UN-T-TOT",
         s_adj == "SA",
         geo %in% c("FR", "DE", "ES", "IT", "US", "UK", "EU27_2020"),
         !is.na(values)) %>%
  summarise(m = max(time)) %>%
  pull(m)

ei_lmhu_m %>%
  filter(indic %in% c("LM-UN-T-TOT", "LM-UN-M-TOT", "LM-UN-F-TOT"),
         s_adj == "SA",
         geo %in% c("FR", "DE", "ES", "IT", "US", "UK", "EU27_2020"),
         time == latest_m) %>%
  select(Geo, Indic, values) %>%
  spread(Indic, values) %>%
  print_table_conditional()

Geo	Unemployment according to ILO definition - females	Unemployment according to ILO definition - males	Unemployment according to ILO definition - total
European Union - 27 countries (from 2020)	6398	6765	13163
France	1220	1422	2642
Germany	706	950	1656
Italy	591	687	1278
Spain	1401	1196	2598
United States	3336	3964	7300