Last observation: 2025 (N = 60)
First observation: 1995 (N = 52)
Last data update: 14 aoû 2026, 19:33. Last compile: 18 aoû 2026, 04:36
Private sector credit flow, consolidated - % GDP - tipspc20
Data - Eurostat
Info
Structure
Ireland, Greece, Portugal
Percent
Code
tipspc20 |>
filter(geo %in% c("IE", "EL", "PT"),
unit == "PC_GDP") |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100) |>
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("Private sector credit flow, consolidated - % GDP") +
scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0.14, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Latest Year: Ranking by % of GDP
Code
latest_y <- tipspc20 |>
filter(unit == "PC_GDP", !is.na(values)) |>
summarise(m = max(time)) |>
pull(m)
tipspc20 |>
filter(unit == "PC_GDP",
time == latest_y,
!(geo %in% c("EA20", "EA21", "EU27_2020"))) |>
select(Geo, values) |>
arrange(-values) |>
print_table_conditional()| Geo | values |
|---|---|
| Bulgaria | 8.8 |
| Denmark | 8.8 |
| Malta | 7.7 |
| Netherlands | 6.5 |
| Portugal | 6.0 |
| Lithuania | 5.9 |
| Latvia | 5.8 |
| Croatia | 5.6 |
| Slovakia | 5.1 |
| Estonia | 4.9 |
| Greece | 4.9 |
| Hungary | 4.5 |
| France | 4.0 |
| Czechia | 3.6 |
| Slovenia | 3.6 |
| Romania | 3.3 |
| Poland | 3.0 |
| Spain | 2.5 |
| Cyprus | 2.2 |
| Sweden | 1.9 |
| Germany | 1.8 |
| Belgium | 1.4 |
| Italy | 1.4 |
| Austria | 0.7 |
| Finland | 0.2 |
| Ireland | -3.1 |
| Luxembourg | -9.0 |
France, Germany, Italy, Spain, Netherlands
Percent
Code
tipspc20 |>
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("Private sector credit flow, consolidated - % GDP") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 5),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0.14, linetype = "dashed")