Annual detailed enterprise statistics for industry (NACE Rev. 2, B-E) - sbs_na_ind_r2
Data - Eurostat
Info
Last observation: Annual: 2020 (N = 629,422)
First observation: Annual: 2005 (N = 27,237)
Last data update: 23 jul 2026, 22:18. Last compile: 24 jul 2026, 03:47
Structure
Manufacturing
Value Added: France, Germany, Italy, Spain
Code
sbs_na_ind_r2 %>%
filter(geo %in% c("FR", "DE", "IT", "ES"),
nace_r2 == "C",
indic_sb == "V12150") %>%
year_to_date %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/1000) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(2000, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Manufacturing value added at factor cost (Bn€)")
Apparent Labour Productivity: France, Germany, Italy, Spain
Code
sbs_na_ind_r2 %>%
filter(geo %in% c("FR", "DE", "IT", "ES"),
nace_r2 == "C",
indic_sb == "V91110") %>%
year_to_date %>%
left_join(colors, by = c("Geo" = "country")) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(2000, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Apparent labour productivity (Value added per person employed, thousand €)")
indic_sb
Code
sbs_na_ind_r2 %>%
group_by(indic_sb, Indic_sb) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditionaltime
Code
sbs_na_ind_r2 %>%
group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional| time | Nobs |
|---|---|
| 2020 | 629422 |
| 2019 | 648309 |
| 2018 | 679344 |
| 2017 | 681844 |
| 2016 | 679925 |
| 2015 | 674429 |
| 2014 | 672656 |
| 2013 | 673480 |
| 2012 | 652570 |
| 2011 | 652155 |
| 2010 | 608404 |
| 2009 | 625061 |
| 2008 | 589454 |
| 2007 | 29971 |
| 2006 | 28581 |
| 2005 | 27237 |