Top 5 ports for volume of containers - volume (in TEUs) of containers handled in each port - mar_qg_qm_pvh

Data - Eurostat

Info

Last observation: Quarterly: 2025Q3 (N = 40)

First observation: Quarterly: 2005Q1 (N = 8)

Last data update: 23 jul 2026, 22:14. Last compile: 24 jul 2026, 02:34

Structure

freq

unit

rep_mar

Container Volumes

Rotterdam, Hamburg, Algeciras, Valencia

mar_qg_qm_pvh %>%
  filter(unit == "THS_TEU",
         rep_mar %in% c("NL_0NLRTM", "DE_1DEHAM", "ES_2ESALG", "ES_2ESVLC")) %>%
  quarter_to_date %>%
  ggplot + geom_line(aes(x = date, y = values, color = Rep_mar)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Container volume (thousand TEU)") +
  scale_y_continuous(labels = scales::comma_format())

Year-on-Year Growth Rate

mar_qg_qm_pvh %>%
  filter(unit == "RT4",
         rep_mar %in% c("NL_0NLRTM", "DE_1DEHAM", "ES_2ESALG", "ES_2ESVLC")) %>%
  quarter_to_date %>%
  mutate(values = values/100) %>%
  ggplot + geom_line(aes(x = date, y = values, color = Rep_mar)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Container volume, growth rate y/y") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

Latest Quarter by Port

latest_q <- mar_qg_qm_pvh %>%
  filter(unit == "THS_TEU", !is.na(values)) %>%
  summarise(m = max(time)) %>%
  pull(m)

mar_qg_qm_pvh %>%
  filter(unit == "THS_TEU",
         time == latest_q) %>%
  select(Rep_mar, values) %>%
  arrange(-values) %>%
  print_table_conditional()

Rep_mar	values
Rotterdam	3584
Antwerp-Bruges	3080
Hamburg	2228
Algeciras	1504
Valencia	1440
Bremerhaven	1265
Peiraias	1105
Gioia Tauro	1038