Monetary Aggregates - France - SI_AI - SI_AI

Data - Banque de France

Author

François Geerolf

🇫🇷 Version française

Info

Last observation: Q: 2026-06-30 (N = 8)

First observation: Q: 2021-12-31 (N = 8)

Last data update: 16 août 2026, 00:05. Last compile: 30 août 2026, 10:28

Structure

source dataset Title Updated
bdf SI_AI Agrégats monétaires - France - SI_AI 2026-08-15

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
2026-08-15

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