Average duration of unemployment - AVD_DUR

Data - OECD

Code
load_data("oecd/AVD_DUR_var.RData")
AVD_DUR <- read_parquet("AVD_DUR.parquet")

Info

Last observation: A: 2021 (N = 195)

First observation: A: 1968 (N = 18)

Last data update: 02 aoû 2026, 08:56. Last compile: 17 aoû 2026, 22:37

Structure

Nobs - Javascript

Code
AVD_DUR |>
  left_join(AVD_DUR_var |> pluck("AGE"), by = c("AGE" = "id")) |>
  rename(`AGE Description` = label) |>
  group_by(AGE, `AGE Description`, SEX) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Data Structure

Code
AVD_DUR_var |>
  pluck("VAR_DESC") %>%
  {if (is_html_output()) print_table(.) else .}
id description
COUNTRY Country
TIME Time
SEX Sex
AGE Age
FREQUENCY Frequency
OBS_VALUE Observation Value
TIME_FORMAT Time Format
OBS_STATUS Observation Status
UNIT Unit
POWERCODE Unit multiplier
REFERENCEPERIOD Reference period

All persons, All ages

France

Code
AVD_DUR |>
  filter(AGE == "900000", 
         COUNTRY == "FRA") |>
  year_to_enddate() |>
  left_join(AVD_DUR_var |> pluck("SEX"), by = c("SEX" = "id")) |>
  rename(SEX_desc = label) |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = obsValue, color = SEX_desc, linetype = SEX_desc)) + 
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.85, 0.9),
        legend.title = element_blank()) +
  xlab("") + ylab("Duration") +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.47, 0.9),
        legend.title = element_blank(),
        legend.direction = "horizontal") +
  scale_y_continuous(breaks = seq(0, 20, 1))