# **Last data update**: 01 aoû 2026, 21:11. **Last compile**: 15 aoû 2026, 15:29
Major items (Labour force, Employed person, Employee, Unemployed person, Not in labour force, Unemployment rate) - MIm
Data - statjp
Info
subject
Code
MIm_var$subject |>
print_table_conditional()| subject | Subject |
|---|---|
| E | Employee |
| EP | Employed person |
| LB | Labour force |
| NILF | Not in labour force |
| UE | Unemployed person |
| UR | Unemployment rate |
seasonally_adjusted
Code
MIm_var$seasonally_adjusted |>
print_table_conditional()| seasonally_adjusted | Seasonally adjusted |
|---|---|
| NSA | not seasonally adjusted |
| SA | seasonally adjusted |
sex
Code
MIm_var$sex |>
print_table_conditional()| sex | Sex |
|---|---|
| B | Both sexes |
| F | Female |
| M | Male |
unit
Code
MIm_var$unit |>
print_table_conditional()| unit | Unit |
|---|---|
| PCT | Percent |
| TTP | Ten thousand persons |
series_code, series_name
Code
MIm |>
group_by(series_code, series_name) |>
summarise(Nobs = n()) |>
print_table_conditional()Unemployment Rate (%)
All
Code
MIm |>
filter(subject == "UR",
seasonally_adjusted == "SA") |>
ggplot() + geom_line(aes(x = period, y = value/100, color = Sex)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = percent_format(acc = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.2, 0.8),
legend.title = element_blank())
1985-2000
Code
MIm |>
filter(subject == "UR",
seasonally_adjusted == "SA",
period >= as.Date("1985-01-01"),
period <= as.Date("2000-01-01")) |>
ggplot() + geom_line(aes(x = period, y = value/100, color = Sex)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = percent_format(acc = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.2, 0.8),
legend.title = element_blank())
1980-2010
Code
MIm |>
filter(subject == "UR",
seasonally_adjusted == "SA",
period >= as.Date("1980-01-01"),
period <= as.Date("2010-01-01")) |>
ggplot() + geom_line(aes(x = period, y = value/100, color = Sex)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = percent_format(acc = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.2, 0.8),
legend.title = element_blank())