Production in services - monthly data - sts_sepr_m

Data - Eurostat

Author

François Geerolf

Info

Last observation: Monthly: 2026M05 (N = 1,345)

First observation: Monthly: 2000M01 (N = 204)

Last data update: 23 jul 2026, 22:08. Last compile: 24 jul 2026, 03:57

Structure

France, Germany, Italy, Spain: Services Production

Code

sts_sepr_m %>%
  filter(geo %in% c("FR", "DE", "IT", "ES"),
         nace_r2 == "G-N_STS",
         unit == "I15",
         s_adj == "SCA") %>%
  month_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(2005, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Production in services, index 2015 = 100")

France: Transport, Accommodation, Info & Comm

Code

sts_sepr_m %>%
  filter(geo == "FR",
         nace_r2 %in% c("H", "I", "J"),
         unit == "I15",
         s_adj == "SCA") %>%
  month_to_date %>%
  ggplot + geom_line(aes(x = date, y = values, color = Nace_r2)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Production in services, index 2015 = 100")

Latest Month: Year-on-Year Growth by Sector

Code

latest_m <- sts_sepr_m %>%
  filter(nace_r2 %in% c("H", "I", "J"),
         unit == "PCH_SM",
         s_adj == "CA",
         geo %in% c("FR", "DE", "IT", "ES"),
         !is.na(values)) %>%
  summarise(m = max(time)) %>%
  pull(m)

sts_sepr_m %>%
  filter(nace_r2 %in% c("H", "I", "J"),
         unit == "PCH_SM",
         s_adj == "CA",
         geo %in% c("FR", "DE", "IT", "ES"),
         time == latest_m) %>%
  select(Nace_r2, Geo, values) %>%
  spread(Geo, values) %>%
  print_table_conditional()

Nace_r2	Spain
Accommodation and food service activities	-1.7
Information and communication	2.3
Transportation and storage	6.0

Covid-19

Table

Code

sts_sepr_m %>%
  filter(nace_r2 == "G-N_STS",
         unit == "I15",
         s_adj == "SCA",
         time %in% c("2019M11", "2020M02", "2020M03", "2020M04", "2020M05", "2020M08", "2020M11"),
         !(geo %in% c("IE", "EU28"))) %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%
  filter(any(time == "2019M11" & !is.na(values))) %>%
  mutate(values = 100*values/values[time == "2019M11"]) %>%
  
  spread(time, values) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  arrange(`2020M04`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}