Last observation: 2025 (N = 229)
First observation: 1991 (N = 234)
Last data update: 16 aoû 2026, 20:17. Last compile: 18 aoû 2026, 00:15
Data - WDI
Last observation: 2025 (N = 229)
First observation: 1991 (N = 234)
Last data update: 16 aoû 2026, 20:17. Last compile: 18 aoû 2026, 00:15
SL.IND.EMPL.ZS |>
left_join(iso2c, by = "iso2c") |>
group_by(iso2c, Iso2c) |>
mutate(value = round(value, 1)) |>
summarise(Nobs = n(),
`Year 1` = first(year),
`Industry Share 1 (%)` = first(value),
`Year 2` = last(year),
`Industry Share 2 (%)` = last(value),
growth = 100*(`Industry Share 2 (%)`/ `Industry Share 1 (%)`-1),
growth_pp = `Industry Share 2 (%)`- `Industry Share 1 (%)`) |>
arrange(growth) |>
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
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 .}SL.IND.EMPL.ZS |>
year_to_date() |>
filter(iso2c %in% c("MX"),
date <= as.Date("1999-01-01"),
date >= as.Date("1989-01-01")) |>
left_join(iso2c, by = "iso2c") |>
ggplot() +
geom_line(aes(x = date, y = value/100)) +
theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Employment in industry (% of total employment) ")
SL.IND.EMPL.ZS |>
year_to_date() |>
filter(iso2c %in% c("ID", "KR", "MY", "TH"),
date <= as.Date("2002-01-01"),
date >= as.Date("1992-01-01")) |>
left_join(iso2c, by = "iso2c") |>
mutate(Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) |>
left_join(colors, by = c("Iso2c" = "country")) |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
year_to_date() |>
filter(iso2c %in% c("TR"),
date <= as.Date("2006-01-01"),
date >= as.Date("1996-01-01")) |>
left_join(iso2c, by = "iso2c") |>
ggplot() +
geom_line(aes(x = date, y = value/100)) +
theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Employment in industry (% of total employment) ")
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("IS")) |>
left_join(iso2c, by = "iso2c") |>
year_to_date() |>
ggplot() + geom_line(aes(x = date, y = value/100)) +
xlab("") + ylab("Employment in industry (% of total employment) ") + theme_minimal() +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("JP")) |>
left_join(iso2c, by = "iso2c") |>
year_to_date() |>
ggplot() + geom_line(aes(x = date, y = value/100)) +
xlab("") + ylab("Employment in industry (% of total employment) ") + theme_minimal() +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("FI", "SE", "FR")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("OE", "FR", "DE", "DK")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("OE", "FR", "DE")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("CN", "FR", "DE")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("CN", "FR", "DE", "IN", "GB", "US", "JP")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("ES", "IT", "PT")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("US", "GB", "ES")) |>
left_join(iso2c, by = "iso2c") |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))
SL.IND.EMPL.ZS |>
filter(iso2c %in% c("AR", "CL", "VE")) |>
left_join(iso2c, by = "iso2c") |>
mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
left_join(colors, by = c("Iso2c" = "country")) |>
year_to_date() |>
mutate(value = value/100) |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
xlab("") + ylab("Employment in industry (%)") +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1))