Monetary Aggregates - France - SI_AI

Data - Banque de France

Author

François Geerolf

🇫🇷 Version française

Info

Last observation: Trimestriel: 30 jui 2026 (N = 152)

First observation: Trimestriel: 31 déc 2021 (N = 152)

Last data update: 10 aoû 2026, 19:02. Last compile: 13 aoû 2026, 01:24

Structure

source	dataset	Title	.html	.rData
bdf	SI_AI	Agrégats monétaires - France - SI_AI	2026-08-11	2026-08-10

Latest

Latest. html
List of BdF Data - Household Credit. html
Household Credit, April 2021. html / pdf
Household Credit, October 2021. html / pdf

LAST_DOWNLOAD

LAST_DOWNLOAD
2026-08-10

LAST_COMPILE

LAST_COMPILE
2026-08-13

Last

date	Nobs
2026-06-30	8

Perceived and Expected Inflation (Quarterly Survey, Median)

Code

SI_AI |>

  filter(ENQCNJ_QUESTION %in% c("ANTINF01", "ANTINF02", "ANTINF03"),
         ENQCNJ_TYPE_EXP == "ME") |>
  mutate(Series = recode(ENQCNJ_QUESTION,
                         "ANTINF01" = "Current perceived inflation",
                         "ANTINF02" = "Inflation expected in one year",
                         "ANTINF03" = "Inflation expected in 3-5 years")) |>
  arrange(date) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Series)) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "1 year",
               labels = date_format("%Y")) +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1, scale = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank())

Wage Expectations vs One-Year Inflation Expectations

Code

SI_AI |>

  filter(ENQCNJ_QUESTION %in% c("ANTINF02", "ANTINF04"),
         ENQCNJ_TYPE_EXP == "ME") |>
  mutate(Series = recode(ENQCNJ_QUESTION,
                         "ANTINF02" = "Inflation expected in one year",
                         "ANTINF04" = "One-year expectation of base wages")) |>
  arrange(date) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Series)) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = "1 year",
               labels = date_format("%Y")) +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1, scale = 1)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank())

Latest Available Survey

Code

SI_AI |>

  filter(date == max(date)) |>
  transmute(Variable, `Value (%)` = value, Date = date) |>
  arrange(Variable) |>
  print_table_conditional()

Variable	Value (%)	Date
Anticipation à un an des salaires de base, moyenne pondérée, brut, en pourcentage sur un an	1.92	2026-06-30
Anticipation à un an des salaires de base, médiane pondérée, brut, en pourcentage sur un an	2.00	2026-06-30
Inflation actuelle percue, moyenne pondérée, brut, en pourcentage sur un an	2.45	2026-06-30
Inflation actuelle percue, médiane pondérée, brut, en pourcentage sur un an	2.30	2026-06-30
Inflation anticipée à 3-5 ans, moyenne pondérée, brut, en pourcentage sur un an	2.51	2026-06-30
Inflation anticipée à 3-5 ans, médiane pondérée, brut, en pourcentage sur un an	2.00	2026-06-30
Inflation anticipée à un an, moyenne pondérée, brut, en pourcentage sur un an	2.77	2026-06-30
Inflation anticipée à un an, médiane pondérée, brut, en pourcentage sur un an	2.50	2026-06-30