Labour market transitions - quarterly data - lfsi_sla_q

Data - Eurostat

Author

François Geerolf

Info

Last observation: 2026Q1 (N = 19876)

First observation: 2003Q1 (N = 162)

Last data update: 23 juil. 2026, 22:26. Last compile: 02 sept. 2026, 00:08

Structure

Labour Market Slack

France, Germany, Spain, Italy

Code

lfsi_sla_q |>
  filter(geo %in% c("FR", "DE", "ES", "IT"),
         wstatus == "SLACK",
         unit == "PC_ELF",
         s_adj == "SA",
         sex == "T",
         age == "Y15-74") |>
  quarter_to_date() |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(values = values/100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = as.Date(paste0(seq(2003, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Labour market slack (% of extended labour force)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

France, by Component

Code

lfsi_sla_q |>
  filter(geo == "FR",
         wstatus %in% c("SLACK", "UEMP_PT", "NSEEK_AVL", "SEEK_NAVL"),
         unit == "PC_ELF",
         s_adj == "SA",
         sex == "T",
         age == "Y15-74") |>
  quarter_to_date() |>
  mutate(values = values/100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = Wstatus)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2003, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Share of extended labour force") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

geo

Code

lfsi_long_q |>
  left_join(geo, by = "geo") |>
  group_by(geo, Geo) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

France

Table

Code

lfsi_long_q |>
  filter(geo == "FR",
         sex == "T",
         s_adj == "SA",
         unit == "THS_PER",
         time %in% c("2015Q2", "2021Q2", "2019Q2", "2017Q2")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  spread(time, values) |>
  print_table_conditional()

indic_em	Indic_em	2015Q2	2017Q2	2019Q2	2021Q2
E_E	Transition employment - employment	25265	25565	26004	26288
E_I	Transition employment - outside the labour force	554	553	601	644
E_U	Transition employment - unemployment	524	447	434	441
I_E	Transition outside the labour force - employment	447	616	499	704
I_I	Transition outside the labour force - outside the labour force	16609	16882	17132	16836
I_U	Transition outside the labour force - unemployment	672	723	628	706
U_E	Transition unemployment - employment	643	638	599	630
U_I	Transition unemployment - outside the labour force	544	562	567	581
U_U	Transition unemployment - unemployment	1867	1640	1411	1233

EE, II

Code

lfsi_long_q |>
  filter(geo == "FR",
         sex == "T",
         s_adj == "SA",
         unit != "THS_PER",
         indic_em %in% c("E_E", "I_I")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  quarter_to_date() |>
  ggplot() + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = values/100, color = Indic_em)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = scales::percent_format(acc = 1))

Italy

EE, II

Code

lfsi_long_q |>
  filter(geo == "IT",
         sex == "T",
         s_adj == "SA",
         unit != "THS_PER",
         indic_em %in% c("E_E", "I_I")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  quarter_to_date() |>
  ggplot() + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = values/100, color = Indic_em)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = scales::percent_format(acc = 1))