Total financial sector liabilities, non-consolidated - annual data - tipsfs10

Data - Eurostat

Author

François Geerolf

Info

Last observation: Annual: 2025 (N = 90)

First observation: Annual: 1995 (N = 57)

Last data update: 23 jul 2026, 22:25. Last compile: 24 jul 2026, 04:03

Structure

unit

Code 
tipsfs10 %>%
  select_if(~n_distinct(.) > 1) %>%
  
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
unit Unit Nobs
MIO_NAC Million units of national currency 928
PC_GDP Percentage of gross domestic product (GDP) 928
PCH_PRE Percentage change on previous period 899

France, Germany, Italy, Spain, Netherlands

Percent

Code 
tipsfs10 %>%
  filter(geo %in% c("FR", "DE", "NL", "ES", "IT"),
         unit == "PC_GDP") %>%
  year_to_date %>%
  
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  mutate(color = ifelse(geo == "NL", color2, color)) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
  scale_color_identity() + add_5flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Total financial sector liabilities, non-consolidated - annual data") +
  scale_y_continuous(breaks = 0.01*seq(-300, 2200, 100),
                     labels = scales::percent_format(accuracy = 1))

Change

Code 
tipsfs10 %>%
  filter(geo %in% c("FR", "DE", "NL", "ES", "IT"),
         unit == "PCH_PRE") %>%
  year_to_date %>%
  
  left_join(colors, by = c("Geo" = "country")) %>%
  mutate(values = values/100) %>%
  mutate(color = ifelse(geo == "NL", color2, color)) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
  scale_color_identity() + add_5flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Total financial sector liabilities, non-consolidated - annual data") +
  scale_y_continuous(breaks = 0.01*seq(-300, 2200, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0.165, linetype = "dashed")

Latest Year, Wider Country Set

Code 
latest_y_fs <- tipsfs10 %>%
  filter(unit == "PC_GDP",
         geo %in% c("FR", "DE", "ES", "IT", "NL", "BE", "PT", "AT", "EA20"),
         !is.na(values)) %>%
  summarise(m = max(time)) %>%
  pull(m)

tipsfs10 %>%
  filter(time == latest_y_fs,
         unit == "PC_GDP",
         geo %in% c("FR", "DE", "ES", "IT", "NL", "BE", "PT", "AT", "EA20")) %>%
  arrange(desc(values)) %>%
  transmute(Geo, `Financial sector liabilities (% GDP)` = paste0(round(values), "%")) %>%
  print_table_conditional()
Geo Financial sector liabilities (% GDP)
Netherlands 1021%
France 769%
Euro area – 20 countries (2023-2025) 709%
Belgium 512%
Germany 492%
Austria 380%
Spain 350%
Italy 332%
Portugal 322%