Labour input in industry - quarterly data - sts_inlb_q

Data - Eurostat

Info

Last observation: Quarterly: 2026Q2 (N = 2,212)

First observation: Quarterly: 1989Q4 (N = 264)

Last data update: 11 aoû 2026, 19:48. Last compile: 12 aoû 2026, 03:21

Structure

freq

indic_bt

nace_r2

s_adj

unit

geo

Individual Countries

Switzerland

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("CH"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  #mutate(values = 100*values/values[time == "2000Q1"]) %>%
  
  quarter_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Netherlands

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("NL"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  #mutate(values = 100*values/values[time == "2000Q1"]) %>%
  
  quarter_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

France

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("FR"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  group_by(indic_bt) |>
  mutate(values = 100*values/values[time == "2000Q1"]) |>
  
  quarter_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Germany

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("DE"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  group_by(indic_bt) |>
  mutate(values = 100*values/values[time == "2000Q1"]) |>
  
  quarter_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Portugal

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("PT"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  group_by(indic_bt) |>
  mutate(values = 100*values/values[time == "2000Q1"]) |>
  
  month_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Austria

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("AT"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  group_by(indic_bt) |>
  mutate(values = 100*values/values[time == "2000Q1"]) |>
  
  month_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Sweden

sts_inlb_q |>
  filter(nace_r2 == "C",
         geo %in% c("SE"),
         s_adj == "SCA",
         unit == "I21") |>
  select(geo, indic_bt, Indic_bt, time, values) |>
  group_by(indic_bt) |>
  mutate(values = 100*values/values[time == "2000Q1"]) |>
  
  month_to_date() |>
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))