Unemployment by sex, age and duration (thousands) - UNE_TUNE_SEX_AGE_DUR_NB_A

Data - ILO

Author

François Geerolf 

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Info

Last observation: 2026 (N = 550)

First observation: 1948 (N = 108)

Last data update: 01 aoû 2026, 21:45. Last compile: 17 aoû 2026, 22:30

classif1

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  left_join(classif1, by = "classif1") |>
  group_by(classif1, Classif1) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
classif1 Classif1 Nobs
AGE_YTHADULT_YGE15 Age (Youth, adults): 15+ 25770
AGE_YTHADULT_Y15-24 Age (Youth, adults): 15-24 20110
AGE_YTHADULT_YGE25 Age (Youth, adults): 25+ 20083
AGE_AGGREGATE_YGE15 NA 13741
AGE_10YRBANDS_YGE15 NA 12564
AGE_AGGREGATE_Y15-24 Age (Aggregate bands): 15-24 12513
AGE_10YRBANDS_Y15-24 Age (10-year bands): 15-24 12465
AGE_10YRBANDS_Y25-34 Age (10-year bands): 25-34 12255
AGE_5YRBANDS_YGE15 NA 12220
AGE_AGGREGATE_Y25-54 Age (Aggregate bands): 25-54 12193
AGE_10YRBANDS_Y35-44 Age (10-year bands): 35-44 12178
AGE_5YRBANDS_Y15-19 Age (5-year bands): 15-19 12106
AGE_5YRBANDS_Y20-24 Age (5-year bands): 20-24 12095
AGE_10YRBANDS_Y45-54 Age (10-year bands): 45-54 12070
AGE_5YRBANDS_Y25-29 Age (5-year bands): 25-29 11996
AGE_AGGREGATE_Y55-64 Age (Aggregate bands): 55-64 11977
AGE_10YRBANDS_Y55-64 Age (10-year bands): 55-64 11924
AGE_YTHADULT_Y15-64 Age (Youth, adults): 15-64 11919
AGE_5YRBANDS_Y35-39 Age (5-year bands): 35-39 11807
AGE_5YRBANDS_Y45-49 Age (5-year bands): 45-49 11774
AGE_5YRBANDS_Y40-44 Age (5-year bands): 40-44 11773
AGE_5YRBANDS_Y30-34 Age (5-year bands): 30-34 11760
AGE_5YRBANDS_Y55-59 Age (5-year bands): 55-59 11743
AGE_5YRBANDS_Y50-54 Age (5-year bands): 50-54 11691
AGE_5YRBANDS_Y60-64 Age (5-year bands): 60-64 11324
AGE_AGGREGATE_YGE65 Age (Aggregate bands): 65+ 10570
AGE_10YRBANDS_YGE65 Age (10-year bands): 65+ 10323
AGE_5YRBANDS_YGE65 Age (5-year bands): 65+ 10245

source

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  left_join(source, by = "source") |>
  group_by(source, Source) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()

ref_area

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  left_join(ref_area, by = "ref_area") |>
  group_by(ref_area, Ref_area) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

sex

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  left_join(sex, by = "sex") |>
  group_by(sex, Sex) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
sex Sex Nobs
SEX_T Sex: Total 122011
SEX_M Sex: Male 120889
SEX_F Sex: Female 120225
SEX_O Sex: Other 64

AGE_YTHADULT_YGE15

Table

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  filter(classif1 == "AGE_YTHADULT_YGE15",
         sex == "SEX_T") |>
  arrange(ref_area, time) |>
  left_join(ref_area, by = "ref_area") |>
  group_by(ref_area, Ref_area) |>
  summarise(year1 = first(time),
            value1 = first(obs_value) |> round() |> paste0(" %"),
            year2 = last(time),
            value2 = last(obs_value) |> round() |> paste0(" %")) |>
  arrange(year1) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

AGE_AGGREGATE_YGE15

Table

Code 
UNE_DEAP_SEX_AGE_RT_A |>
  filter(classif1 == "AGE_AGGREGATE_YGE15",
         sex == "SEX_T") |>
  arrange(ref_area, time) |>
  left_join(ref_area, by = "ref_area") |>
  group_by(ref_area, Ref_area) |>
  summarise(year1 = first(time),
            value1 = first(obs_value) |> round() |> paste0(" %"),
            year2 = last(time),
            value2 = last(obs_value) |> round() |> paste0(" %")) |>
  arrange(year1) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}