HICP at constant taxes - monthly data (annual rate of change) - prc_hicp_fp

Data - Eurostat

Author

François Geerolf

Info

Last observation: Monthly: 2025M12 (N = 59,161)

First observation: Monthly: 1996M01 (N = 15,049)

Last data update: 11 aoû 2026, 21:20. Last compile: 12 aoû 2026, 02:43

Structure

HICP at Constant Taxes, All Items

France, Germany, Italy, Spain

Code

prc_hicp_fp |>
  filter(geo %in% c("FR", "DE", "IT", "ES"),
         coicop == "CP00",
         unit == "RCH_A",
         release == "FIN") |>
  month_to_date() |>

  left_join(colors, by = c("Geo" = "country")) |>
  mutate(values = values/100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = as.Date(paste0(seq(1995, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("HICP at constant taxes, annual rate of change") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black")

France: All Items, Food, Non-Energy Goods

Code

prc_hicp_fp |>
  filter(geo == "FR",
         coicop %in% c("CP00", "FOOD", "IGD_NNRG"),
         unit == "RCH_A",
         release == "FIN") |>
  month_to_date() |>
  mutate(values = values/100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = Coicop)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(1995, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Annual rate of change") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
  theme(legend.position = "bottom", legend.title = element_blank())

Latest Month, All-Items HICP (Constant Taxes)

Code

latest_m_hicp_fp <- prc_hicp_fp |>
  filter(coicop == "CP00",
         unit == "RCH_A",
         release == "FIN",
         geo %in% c("FR", "DE", "IT", "ES"),
         !is.na(values)) |>
  summarise(m = max(time)) |>
  pull(m)

prc_hicp_fp |>
  filter(geo %in% c("FR", "DE", "IT", "ES"),
         coicop %in% c("CP00", "FOOD", "IGD_NNRG"),
         unit == "RCH_A",
         release == "FIN",
         time == latest_m_hicp_fp) |>
  mutate(values = values/100) |>
  select(coicop, Coicop, Geo, values) |>
  spread(Geo, values) |>
  print_table_conditional()

coicop	Coicop	France	Germany	Italy	Spain
CP00	All-items HICP	0.007	0.020	0.012	0.030
FOOD	Food including alcohol and tobacco	0.019	0.018	0.024	0.032
IGD_NNRG	Non-energy industrial goods	0.000	0.002	0.004	0.008