Incidence of full-time and part-time employment based on OECD-harmonized definition - FTPT_COMMON_INC

Data - OECD

Author

François Geerolf

Info

Last observation: A: 2025 (N = 8320)

First observation: A: 1976 (N = 768)

Last data update: 17 aoû 2026, 00:53. Last compile: 18 aoû 2026, 00:02

Structure

Part-time employment rate

Table

Code 
FTPT_COMMON_INC |>
  filter(MEASURE == "EMP_PT",
         AGE == "Y15T64",
         obsTime == "2023",
         WORKER_STATUS == "_T") %>%
  select_if(~ n_distinct(.) > 1) |>
  arrange(-obsValue) |>
  spread(SEX, obsValue) |>
  arrange(-F) |>
  print_table_conditional()

France, Netherlands, Germany, Eurozone

Code 
FTPT_COMMON_INC |>
  filter(MEASURE == "EMP_PT",
         REF_AREA %in% c("FRA", "NLD", "DEU", "EA20"),
         AGE == "Y15T64",
         WORKER_STATUS == "_T") |>
  year_to_date() |>
  arrange(desc(date)) |>
  mutate(Ref_area = ifelse(REF_AREA == "EA20", "Europe", Ref_area)) |>
  group_by(Ref_area) |>
  arrange(date) |>
  left_join(colors, by = c("Ref_area" = "country")) |>
  mutate(obsValue = obsValue/100) |>
  ggplot() + geom_line(aes(x = date, y = obsValue, color = color, linetype = Sex)) +
  scale_color_identity() + add_6flags + theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.5)) +
  scale_y_continuous(labels = scales::percent_format(),
                     breaks = 0.01*seq(0, 100, 10))