European Union and euro area balance of payments - quarterly data (BPM6) - bop_eu6_q

Data - Eurostat

Last observation: Q2 2026 (N = 3330) · 2025 (N = 7196)

First observation: 1999 (N = 1090) · Q1 1999 (N = 1091)

Last data update: 04 oct. 2026, 22:41

Last compile: 09 oct. 2026, 22:07

Structure

freq

currency

bop_item

sector10

sectpart

s_adj

stk_flow

partner

geo

EU27: Current Account Balance

vs. Extra-EU27 (seasonally adjusted)

bop_eu6_q |>
  filter(freq == "Q",
         geo == "EU27_2020",
         bop_item == "CA",
         stk_flow == "BAL",
         partner == "EXT_EU27_2020",
         sector10 == "S1",
         sectpart == "S1",
         s_adj == "SCA") |>
  quarter_to_date() |>
  mutate(values = values/1000) |>
  ggplot() + geom_line(aes(x = date, y = values)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(1999, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Current account balance, vs. Extra-EU27 (Bn€)") +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

By Main Partner

bop_eu6_q |>
  filter(freq == "Q",
         geo == "EU27_2020",
         bop_item == "CA",
         stk_flow == "BAL",
         partner %in% c("US", "UK", "CN_X_HK", "JP", "CH"),
         sector10 == "S1",
         sectpart == "S1",
         s_adj == "NSA") |>
  quarter_to_date() |>
  mutate(values = values/1000) |>
  ggplot() + geom_line(aes(x = date, y = values, color = Partner)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2015, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Current account balance (Bn€)") +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

Latest Quarter by Partner

latest_q <- bop_eu6_q |>
  filter(freq == "Q",
         geo == "EU27_2020",
         bop_item == "CA",
         stk_flow == "BAL",
         partner %in% c("US", "UK", "CN_X_HK", "JP", "CH", "RU"),
         sector10 == "S1",
         sectpart == "S1",
         s_adj == "NSA",
         !is.na(values)) |>
  summarise(m = max(time)) |>
  pull(m)

bop_eu6_q |>
  filter(freq == "Q",
         geo == "EU27_2020",
         bop_item %in% c("CA", "GS", "G", "S"),
         stk_flow == "BAL",
         partner %in% c("US", "UK", "CN_X_HK", "JP", "CH", "RU"),
         sector10 == "S1",
         sectpart == "S1",
         s_adj == "NSA",
         time == latest_q) |>
  mutate(values = values/1000) |>
  select(bop_item, Bop_item, Partner, values) |>
  spread(Partner, values) |>
  print_table_conditional()

bop_item	Bop_item	China except Hong Kong	Japan	Russia	Switzerland	United Kingdom	United States
CA	Current account	-66.6048	0.7931	1.8652	23.9109	89.8238	-30.3224
G	Goods	-78.2734	1.8934	1.4179	14.2572	53.8658	58.4762
GS	Goods and services	-72.3331	7.3157	1.8403	32.6691	75.4016	9.2409
S	Services	5.9403	5.4223	0.4224	18.4119	21.5358	-49.2354