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

Data - Eurostat

Info

Last observation: 2025 (N = 90)

First observation: 1995 (N = 53)

Last data update: 14 aoû 2026, 20:35. Last compile: 18 aoû 2026, 04:32

Structure

freq

na_item

co_nco

sector

finpos

unit

geo

France, Germany, Italy, Spain, Netherlands

Percent

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_flags +
  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

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_flags +
  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

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%