Turnover in industry, total - monthly data - sts_intv_m
Data - Eurostat
Info
Last observation: Monthly: 2026M05 (N = 4,665)
First observation: Monthly: 1990M01 (N = 47)
Last data update: 24 jul 2026, 00:28. Last compile: 25 jul 2026, 21:11
Structure
Germany - Different Industries
C10 - Manufacture of food products
Code
sts_intv_m %>%
filter(nace_r2 == "C10",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2004M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01"),
date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + 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(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
C13-C15 - Manufacture of textiles, wearing apparel, leather and related products
Code
sts_intv_m %>%
filter(nace_r2 == "C13-C15",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01"),
date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + 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(0.3, 0.25),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
C20 - Manufacture of chemicals and chemical products
Code
sts_intv_m %>%
filter(nace_r2 == "C20",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2004M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01"),
date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + 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(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
C30 - Manufacture of other transport equipment
Code
sts_intv_m %>%
filter(nace_r2 == "C30",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2004M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01"),
date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + 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(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
Individual Countries
France
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
geo %in% c("FR")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Indic_bt)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
Germany
All
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2004M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Indic_bt)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
2000-
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
geo %in% c("DE")) %>%
group_by(indic_bt) %>%
mutate(values = 100*values/values[time == "2004M01"]) %>%
month_to_date %>%
filter(date <= as.Date("2020-07-01"),
date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + 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(0.3, 0.85),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(-60, 300, 10))
France, Germany, Italy
All
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
indic_bt == "NETTUR",
geo %in% c("FR", "DE", "IT")) %>%
select(geo, Geo, time, values) %>%
group_by(geo) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
month_to_date %>%
left_join(colors, by = c("Geo" = "country")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
geom_image(data = . %>%
filter(date == as.Date("2014-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
aes(x = date, y = values, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 10))
1995-
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
indic_bt == "NETTUR",
geo %in% c("FR", "DE", "IT")) %>%
select(geo, Geo, time, values) %>%
group_by(geo) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
month_to_date %>%
filter(date >= as.Date("1995-01-01")) %>%
left_join(colors, by = c("Geo" = "country")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
geom_image(data = . %>%
filter(date == as.Date("2014-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
aes(x = date, y = values, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 5))
2000-
Code
sts_intv_m %>%
filter(nace_r2 == "C",
unit == "I15",
s_adj == "SCA",
indic_bt == "NETTUR",
geo %in% c("FR", "DE", "IT")) %>%
select(geo, Geo, time, values) %>%
group_by(geo) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
month_to_date %>%
filter(date >= as.Date("2000-01-01")) %>%
left_join(colors, by = c("Geo" = "country")) %>%
ggplot() + ylab("Index of turnover - Non domestic market") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
geom_image(data = . %>%
filter(date == as.Date("2014-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
aes(x = date, y = values, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 5))