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
Data - OECD
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
LFS_SEXAGE_I_C |>
left_join(LFS_SEXAGE_I_C_var$SEX, by = "SEX") |>
group_by(SEX, Sex) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| SEX | Sex | Nobs |
|---|---|---|
| MW | All persons | 104552 |
| MEN | Men | 104280 |
| WOMEN | Women | 103509 |
LFS_SEXAGE_I_C |>
left_join(LFS_SEXAGE_I_C_var$AGE, by = "AGE") |>
group_by(AGE, Age) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()LFS_SEXAGE_I_C |>
left_join(LFS_SEXAGE_I_C_var$SERIES, by = "SERIES") |>
group_by(SERIES, Series) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| SERIES | Series | Nobs |
|---|---|---|
| PER_P | Share of population | 80553 |
| PER_E | Share of employment | 79701 |
| PER_L | Share of labour force | 79698 |
| PER_U | Share of unemployment | 72389 |
LFS_SEXAGE_I_C |>
left_join(LFS_SEXAGE_I_C_var$FREQUENCY, by = "FREQUENCY") |>
group_by(FREQUENCY, Frequency) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| FREQUENCY | Frequency | Nobs |
|---|---|---|
| A | Annual | 312341 |
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 .}LFS_SEXAGE_I_C |>
group_by(obsTime) |>
summarise(Nobs = n()) |>
arrange(desc(obsTime)) |>
print_table_conditional()