Financial transactions - nasq_10_f_tr

Data - Eurostat

Info

Last observation: Quarterly: 2026Q1 (N = 98,019)

First observation: Quarterly: 1998Q4 (N = 9,159)

Last data update: 23 jul 2026, 22:28. Last compile: 24 jul 2026, 03:06

Structure

freq

unit

sector

finpos

na_item

geo

Households: Net Financial Transactions (% of GDP)

nasq_10_f_tr %>%
  filter(geo %in% c("FR", "DE", "IT"),
         na_item == "B9F",
         finpos == "LIAB",
         sector == "S14_S15",
         unit == "PC_GDP") %>%
  quarter_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_3flags +
  scale_x_date(breaks = as.Date(paste0(seq(1995, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Households: net financial transactions (% of GDP)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

France: Net Financial Transactions by Sector (% of GDP)

nasq_10_f_tr %>%
  filter(geo == "FR",
         na_item == "B9F",
         finpos == "LIAB",
         sector %in% c("S11", "S13", "S14_S15"),
         unit == "PC_GDP") %>%
  quarter_to_date %>%

  mutate(values = values/100) %>%
  ggplot + geom_line(aes(x = date, y = values, color = Sector)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(1995, 2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Net financial transactions (% of GDP)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

na_item

load_data("eurostat/na_item.RData")
nasq_10_f_tr %>%
  
  group_by(na_item, Na_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}