Producer prices in industry, non domestic market - monthly data

Data - Eurostat

Author

Info

source	dataset	Title	.html	.rData
eurostat	sts_inppnd_m	Producer prices in industry, non domestic market - monthly data	2026-06-04	2026-05-28

Last observation: Monthly: 2026M04 (N = 7,154)

First observation: Monthly: 1962M01 (N = 88)

Last data update: 28 mai 2026, 15:43. Last compile: 04 jui 2026, 15:37

Structure

France, Germany, Italy

C - Manufacturing

All

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2000M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 10))

2000-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2000M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2010-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2010M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2010-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2018-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2018M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2018-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2020-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2020M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2020-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

C21 - Manufacture of basic pharmaceutical products and pharmaceutical preparations

All

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C21",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2000M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 10))

2000-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C21",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2000M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2000-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2010-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C21",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2010M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2010-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

2020-

Code

sts_inppnd_m %>%
  filter(nace_r2 == "C21",
         indic_bt == "PRC_PRR_NDOM",
         unit == "I21",
         geo %in% c("FR", "DE", "IT")) %>%
  select(geo, time, values) %>%
  group_by(geo) %>%
  mutate(values = 100*values/values[time == "2020M01"]) %>%
  left_join(geo, by = "geo") %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  month_to_date %>%
  filter(date >= as.Date("2020-01-01")) %>%
  ggplot() + ylab("Non-domestic output price index - in national currency") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2050, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) + add_3flags +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 5))

Other data

Data on industry

source	dataset	Title	.html	.rData
ec	INDUSTRY	Industry (sector data)	2026-06-03	2026-06-04
eurostat	ei_isin_m	Industry - monthly data - index (2015 = 100) (NACE Rev. 2) - ei_isin_m	2026-06-03	2026-04-26
eurostat	htec_trd_group4	High-tech trade by high-tech group of products in million euro (from 2007, SITC Rev. 4)	2026-06-03	2026-04-26
eurostat	nama_10_a64	National accounts aggregates by industry (up to NACE A*64)	2026-04-12	2026-04-26
eurostat	nama_10_a64_e	National accounts employment data by industry (up to NACE A*64)	2026-06-04	2026-04-26
eurostat	namq_10_a10_e	Employment A*10 industry breakdowns	2025-05-24	2026-04-26
eurostat	road_eqr_carmot	New registrations of passenger cars by type of motor energy and engine size - road_eqr_carmot	2026-06-04	2026-04-26
eurostat	sts_inpp_m	Producer prices in industry, total - monthly data	2026-06-04	2026-04-26
eurostat	sts_inppd_m	Producer prices in industry, domestic market - monthly data	2026-06-04	2026-04-26
eurostat	sts_inpr_m	Production in industry - monthly data	2026-06-04	2026-04-26
eurostat	sts_intvnd_m	Turnover in industry, non domestic market - monthly data - sts_intvnd_m	2026-03-24	2026-04-26
fred	industry	Manufacturing, Industry	2026-06-04	2026-05-29
oecd	ALFS_EMP	Employment by activities and status (ALFS)	2024-04-16	2025-05-24
oecd	BERD_MA_SOF	Business enterprise R&D expenditure by main activity (focussed) and source of funds	2024-04-16	2023-09-09
oecd	GBARD_NABS2007	Government budget allocations for R and D	2024-04-16	2023-11-22
oecd	MEI_REAL	NA	NA	NA
oecd	MSTI_PUB	Main Science and Technology Indicators	2024-09-15	2025-05-24
oecd	SNA_TABLE4	PPPs and exchange rates	2024-09-15	2025-05-24
wdi	NV.IND.EMPL.KD	Industry, value added per worker (constant 2010 USD)	2024-01-06	2026-06-04
wdi	NV.IND.MANF.CD	Manufacturing, value added (current USD)	2026-06-04	2026-06-04
wdi	NV.IND.MANF.ZS	Manufacturing, value added (% of GDP)	2025-05-24	2026-06-04
wdi	NV.IND.TOTL.KD	Industry (including construction), value added (constant 2015 USD) - NV.IND.TOTL.KD	2024-01-06	2026-06-04
wdi	NV.IND.TOTL.ZS	Industry, value added (including construction) (% of GDP)	2025-05-24	2026-06-04
wdi	SL.IND.EMPL.ZS	Employment in industry (% of total employment)	2026-06-04	2026-06-04
wdi	TX.VAL.MRCH.CD.WT	Merchandise exports (current USD)	2024-01-06	2026-06-04

Info

Code

include_graphics("https://ec.europa.eu/eurostat/statistics-explained/images/3/33/EU%2C_EA-19_Industrial_producer_prices%2C_total%2C_domestic_and_non-domestic_market%2C_2010_-_2022%2C_undadjusted_data_%282015_%3D_100%29_01-06-2022.png")