Last observation: A: 2025-12-31 (N = 2128) · M: 2025-12-31 (N = 4423)
First observation: A: 1990-12-31 (N = 12) · M: 1995-01-31 (N = 29)
Last data update: 14 aoû 2026, 00:02. Last compile: 17 aoû 2026, 23:41
Inflation - ICP
Données - BDF
Info
Structure
Taux d’inflation (IPCH)
Taux de croissance annuel de l’indice des prix à la consommation harmonisé (IPCH), tous postes.
France, Allemagne, Italie, Espagne
Code
ICP |>
filter(variable %in% c("ICP.M.FR.N.000000.4.ANR",
"ICP.M.DE.N.000000.4.ANR",
"ICP.M.IT.N.000000.4.ANR",
"ICP.M.ES.N.000000.4.ANR")) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(value = value/100) |>
na.omit() |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
xlab("") + ylab("") + theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(labels = percent_format(accuracy = 1))
Depuis 2015
Code
ICP |>
filter(variable %in% c("ICP.M.FR.N.000000.4.ANR",
"ICP.M.DE.N.000000.4.ANR",
"ICP.M.IT.N.000000.4.ANR",
"ICP.M.ES.N.000000.4.ANR")) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(value = value/100) |>
filter(date >= as.Date("2015-01-01")) |>
na.omit() |>
ggplot() + geom_line(aes(x = date, y = value, color = color)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
xlab("") + ylab("") + theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = "1 year",
labels = date_format("%Y")) +
scale_y_continuous(labels = percent_format(accuracy = 1))
France et zone euro
Code
ICP |>
filter(variable %in% c("ICP.M.FR.N.000000.4.ANR",
"ICP.M.U2.N.000000.4.ANR")) |>
mutate(Variable = ifelse(REF_AREA == "U2", "Zone euro", "France")) |>
mutate(value = value/100) |>
na.omit() |>
ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
xlab("") + ylab("") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.15, 0.85),
legend.title = element_blank())
Dernier point
Code
ICP |>
filter(ICP_SUFFIX == "ANR",
ICP_ITEM == "000000",
FREQ == "M",
REF_AREA %in% c("FR", "DE", "IT", "ES", "U2")) |>
na.omit() |>
group_by(Ref_area) |>
filter(date == max(date)) |>
ungroup() |>
select(Pays = Ref_area, date, value) |>
arrange(desc(value)) |>
print_table_conditional()| Pays | date | value |
|---|---|---|
| Espagne | 2025-12-31 | 3.0 |
| Allemagne | 2025-12-31 | 2.0 |
| Zone Euro (composition évolutive) | 2025-12-31 | 1.9 |
| Italie | 2025-12-31 | 1.2 |
| France | 2025-12-31 | 0.7 |