Import prices in industry - monthly data - sts_inpi_m

Data - Eurostat

Info

Last observation: Monthly: 2026M06 (N = 795)

First observation: Monthly: 1962M01 (N = 54)

Last data update: 23 jul 2026, 22:28. Last compile: 25 jul 2026, 20:54

Structure

freq

indic_bt

cpa2_1

s_adj

unit

geo

Manufacturing

I15- France, Germany, Italy

All

sts_inpi_m %>%
  filter(cpa2_1 == "CPA_C",
         unit == "I15",
         geo %in% c("FR", "DE", "IT"),
         indic_bt == "PRC_IMP") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2019M03"]) %>%
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + ylab(" Import price index") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2013-01-01")) %>%
               mutate(date = as.Date("2013-01-01"),
                      image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
             aes(x = date, y = values, image = image), asp = 1.5) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 2))

2005-

sts_inpi_m %>%
  filter(cpa2_1 == "CPA_C",
         unit == "I15",
         geo %in% c("FR", "DE", "IT"),
         indic_bt == "PRC_IMP") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2019M03"]) %>%
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2005-01-01")) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + ylab(" Import price index") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2013-01-01")) %>%
               mutate(date = as.Date("2013-01-01"),
                      image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
             aes(x = date, y = values, image = image), asp = 1.5) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 2))

I21- France, Germany, Italy

All

sts_inpi_m %>%
  filter(cpa2_1 == "CPA_C",
         unit == "I21",
         geo %in% c("FR", "DE", "IT"),
         indic_bt == "PRC_IMP") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2019M03"]) %>%
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + ylab(" Import price index") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2013-01-01")) %>%
               mutate(date = as.Date("2013-01-01"),
                      image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
             aes(x = date, y = values, image = image), asp = 1.5) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 2))

2005-

sts_inpi_m %>%
  filter(cpa2_1 == "CPA_C",
         unit == "I21",
         geo %in% c("FR", "DE", "IT"),
         indic_bt == "PRC_IMP") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2019M03"]) %>%
  
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2005-01-01")) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot() + ylab(" Import price index") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2013-01-01")) %>%
               mutate(date = as.Date("2013-01-01"),
                      image = paste0("../../icon/flag/", str_to_lower(Geo), ".png")),
             aes(x = date, y = values, image = image), asp = 1.5) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 2))