Industry as % of total employment – ILO modelled estimates, November 2019 - EMP_2IND_NOC_RT_A

Data - ILO

Author

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Info

Last observation: 2020 (N = 265)

First observation: 1991 (N = 265)

Last data update: 01 aoû 2026, 21:27. Last compile: 17 aoû 2026, 22:19

source

Code

EMP_2IND_NOC_RT_A |>
  left_join(source, by = "source") |>
  group_by(source, Source) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

ref_area

Code

EMP_2IND_NOC_RT_A |>
  left_join(ref_area, by = "ref_area") |>
  group_by(ref_area, Ref_area) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         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 .}

Industry

Germany, France, U.S., Switzerland

Code

EMP_2IND_NOC_RT_A |>
  year_to_date() |>
  filter(ref_area %in% c("DEU", "FRA", "USA", "CHE")) |>
  left_join(ref_area, by = "ref_area") |>
  mutate(obs_value = obs_value/100) |>
  left_join(colors, by = c("Ref_area" = "country")) |>
  ggplot() + scale_color_identity() + add_flags + theme_minimal() +
  geom_line(aes(x = date, y = obs_value, color = color)) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.85, 0.8),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 90, 2),
                     labels = percent_format(accuracy = 1)) +
  ylab("Industry (% of total employment)") + xlab("")

Sweden, U.K., Spain, Italy

Code

EMP_2IND_NOC_RT_A |>
  year_to_date() |>
  filter(ref_area %in% c("SWE", "GBR", "ESP", "ITA")) |>
  left_join(ref_area, by = "ref_area") |>
  mutate(obs_value = obs_value/100) |>
  left_join(colors, by = c("Ref_area" = "country")) |>
  ggplot() + scale_color_identity() + add_flags + theme_minimal() +
  geom_line(aes(x = date, y = obs_value, color = color)) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.85, 0.8),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 90, 2),
                     labels = percent_format(accuracy = 1)) +
  ylab("Industry (% of total employment)") + xlab("")