LFS by sex and age - composition - LFS_SEXAGE_I_C

Data - OECD

Info

Last observation: A: 2022 (N = 8411)

First observation: A: 1960 (N = 264)

Last data update: 02 aoû 2026, 08:59. Last compile: 18 aoû 2026, 00:40

Structure

SEX

Code
LFS_SEXAGE_I_C |>
  left_join(LFS_SEXAGE_I_C_var$SEX, by = "SEX") |>
  group_by(SEX, Sex) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
SEX Sex Nobs
MW All persons 104552
MEN Men 104280
WOMEN Women 103509

AGE

Code
LFS_SEXAGE_I_C |>
  left_join(LFS_SEXAGE_I_C_var$AGE, by = "AGE") |>
  group_by(AGE, Age) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()

SERIES

Code
LFS_SEXAGE_I_C |>
  left_join(LFS_SEXAGE_I_C_var$SERIES, by = "SERIES") |>
  group_by(SERIES, Series) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
SERIES Series Nobs
PER_P Share of population 80553
PER_E Share of employment 79701
PER_L Share of labour force 79698
PER_U Share of unemployment 72389

FREQ

Code
LFS_SEXAGE_I_C |>
  left_join(LFS_SEXAGE_I_C_var$FREQUENCY, by = "FREQUENCY") |>
  group_by(FREQUENCY, Frequency) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
FREQUENCY Frequency Nobs
A Annual 312341

COUNTRY

Code
LFS_SEXAGE_I_C |>
  left_join(LFS_SEXAGE_I_C_var$COUNTRY, by = "COUNTRY") |>
  group_by(COUNTRY, Country) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Country))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

obsTime

Code
LFS_SEXAGE_I_C |>
  group_by(obsTime) |>
  summarise(Nobs = n()) |>
  arrange(desc(obsTime)) |>
  print_table_conditional()