Producer prices in industry, total - monthly data

Data - Eurostat

Info

Last observation: Monthly: 2026M07 (N = 480)

First observation: Monthly: 1976M01 (N = 89)

Last data update: 13 aoû 2026, 22:54. Last compile: 14 aoû 2026, 05:07

Structure

freq

indic_bt

nace_r2

s_adj

unit

geo

France, Germany, Italy

MIG_DCOG - MIG - durable consumer goods

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "MIG_DCOG",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("MIG_DCOG - MIG - durable consumer goods") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 1),
                     labels = percent_format(a = 1))

MIG_ING - MIG - intermediate goods

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "MIG_ING",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("MIG - intermediate goods") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 1),
                     labels = percent_format(a = 1))

MIG_CAG - MIG - capital goods

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "MIG_CAG",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("MIG - capital goods") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 1),
                     labels = percent_format(a = 1))

D - Electricity, gas, steam and air conditioning supply

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "D",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("Non-domestic output price index") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 10),
                     labels = percent_format(a = 1))

B - Mining and quarrying

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "B",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("Mining and quarrying") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 10),
                     labels = percent_format(a = 1))

C - Manufacturing

Percentage change compared to same period in previous year - PCH_SM

All

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("% change compared to same period in previous year") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 2),
                     labels = percent_format(a = 1))

2000-

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  filter(date >= as.Date("2000-01-01")) |>
  ggplot() + ylab("% change compared to same period in previous year") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 2),
                     labels = percent_format(a = 1))

2018-

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "PCH_SM",
         geo %in% c("FR", "DE", "IT")) |>
  transmute(geo, Geo, time, values = values/100) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  filter(date >= as.Date("2018-01-01")) |>
  ggplot() + ylab("% change compared to same period in previous year") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  scale_y_continuous(breaks = 0.01*seq(-60, 300, 2),
                     labels = percent_format(a = 1))

Index

All

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) |>
  select(geo, Geo, time, values) |>
  group_by(geo) |>
  mutate(values = 100*values/values[time == "2000M01"]) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 10))

2000-

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) |>
  select(geo, Geo, time, values) |>
  group_by(geo) |>
  mutate(values = 100*values/values[time == "2000M01"]) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  filter(date >= as.Date("2000-01-01")) |>
  ggplot() + ylab("Total output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  add_flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2015-

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) |>
  select(geo, Geo, time, values) |>
  group_by(geo) |>
  mutate(values = 100*values/values[time == "2015M01"]) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  filter(date >= as.Date("2015-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + scale_color_identity() + 
  add_flags + ylab("Total output price index") + xlab("") + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(-60, 300, 5))

2018-

sts_inpp_m |>
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) |>
  select(geo, Geo, time, values) |>
  group_by(geo) |>
  mutate(values = 100*values/values[time == "2018M01"]) |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  month_to_date() |>
  filter(date >= as.Date("2018-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + scale_color_identity() + 
  add_flags + ylab("Total output price index") + xlab("") + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(-60, 300, 5))