Unemployment by sex and age (thousands) - UNE_TUNE_SEX_AGE_NB_A

Data - ILO

Last observation: 2027 (N = 783)

First observation: 1947 (N = 1)

Last data update: 01 août 2026, 21:45

Last compile: 14 sept. 2026, 22:13

classif1

UNE_TUNE_SEX_AGE_NB_A |>
  left_join(classif1, by = "classif1") |>
  group_by(classif1, Classif1) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

source

UNE_TUNE_SEX_AGE_NB_A |>
  left_join(source, by = "source") |>
  group_by(source, Source) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

sex

UNE_TUNE_SEX_AGE_NB_A |>
  left_join(sex, by = "sex") |>
  group_by(sex, Sex) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

indicator

UNE_TUNE_SEX_AGE_NB_A |>
  left_join(indicator, by = "indicator") |>
  group_by(indicator, Indicator) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Ex 1: Nombre de chômeurs

UNE_TUNE_SEX_AGE_NB_A |>
  filter(classif1 == "AGE_YTHADULT_YGE15",
         sex == "SEX_T",
         time == 2018) |>
  mutate(value = round(obs_value)) |>
  arrange(-as.numeric(time)) |>
  select(iso2c = ref_area, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}