Marché financier, taux - FM

Données - BDF

🇬🇧 English version

Last observation: 31 déc. 2026 (N = 2) · 18 sept. 2026 (N = 13) · août 2026 (N = 3)

First observation: janv. 1980 (N = 4) · 2 janv. 1990 (N = 1) · 30 juin 2015 (N = 2)

Last data update: 20 sept. 2026, 22:30

Last compile: 20 sept. 2026, 23:51

Structure

FREQ

REF_AREA

CURRENCY

PROVIDER_FM

INSTRUMENT_FM

PROVIDER_FM_ID

DATA_TYPE_FM

UNIT

UNIT_MULT

DECIMALS

Taux d’intérêt

BCE - Facilité de dépôt, refinancements

All

FM |>
  filter(grepl("FM.D.U2.EUR.4F.KR.MRR_FR.LEV", variable) |
           grepl("FM.D.U2.EUR.4F.KR.MLFR.LEV", variable) |
           grepl("FM.D.U2.EUR.4F.KR.DFR.LEV", variable)) |>
  
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.1),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, 1),
                labels = percent_format(accuracy = 1))

2022-

FM |>
  filter(grepl("FM.D.U2.EUR.4F.KR.MRR_FR.LEV", variable) |
           grepl("FM.D.U2.EUR.4F.KR.MLFR.LEV", variable) |
           grepl("FM.D.U2.EUR.4F.KR.DFR.LEV", variable)) |>
  filter(date >= as.Date("2022-01-01")) |>
  
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.3, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, 1),
                labels = percent_format(accuracy = 1))

Bons du Trésor

10 ans, 5 ans

Tous

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5"),
          FREQ == "D") |>
  select_if(function(col) length(unique(col)) > 1) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.7, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed") +
  geom_label(data = . %>% filter(date == max(date)),
             aes(x = date, y = value/100, label = percent(value/100), color = Variable))

2018-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5"),
         date >= as.Date("2018-01-01"),
          FREQ == "D") |>
  select_if(function(col) length(unique(col)) > 1) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed") +
  geom_label(data = . %>% filter(date == max(date)),
             aes(x = date, y = value/100, label = percent(value/100), color = Variable))

March 2020-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5"),
         date >= as.Date("2020-01-01"),
          FREQ == "D") |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed") +
  geom_label(data = . %>% filter(date == max(date)),
             aes(x = date, y = value/100, label = percent(value/100), color = Variable))

2021-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5"),
         date >= as.Date("2021-01-01"),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "2 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed") +
  geom_label(data = . %>% filter(date == max(date)),
             aes(x = date, y = value/100, label = percent(value/100), color = Variable))

2 years

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5"),
         date >= Sys.Date() - years(2),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .5),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

30 ans, 10 ans, 1 mois

Tous

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC30", "FRMOYTEC10"),
         date >= as.Date("2018-01-01"),
          FREQ == "D") |>
  #select_if(function(col) length(unique(col)) > 1) %>%
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

30 ans

Tous

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC30"),
         date >= as.Date("2018-01-01"),
          FREQ == "D") |>
  #select_if(function(col) length(unique(col)) > 1) %>%
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

30 ans, 10 ans, 5 ans

Tous

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC30"),
         date >= as.Date("2018-01-01"),
          FREQ == "D") |>
  select_if(function(col) length(unique(col)) > 1) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960,2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

March 2020-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC30"),
         date >= as.Date("2020-01-01"),
          FREQ == "D") |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

2021-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC30"),
         date >= as.Date("2021-01-01"),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "2 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

2 years

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC30"),
         date >= Sys.Date() - years(2),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.2, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .5),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

1 an, 5 ans, 10 ans

Tous

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC1"),
         date >= as.Date("2018-01-01"),
          FREQ == "D") |>
  select_if(function(col) length(unique(col)) > 1) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical") +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

March 2020-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC1"),
         date >= as.Date("2020-03-01"),
          FREQ == "D") |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "3 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.3, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

2021-

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC1"),
         date >= as.Date("2021-01-01"),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "2 months",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.3, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .2),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

2 years

FM |>
  
  filter(PROVIDER_FM_ID %in% c("FRMOYTEC10", "FRMOYTEC5", "FRMOYTEC1"),
         date >= Sys.Date() - years(2),
          FREQ == "D") |>
  arrange(desc(date)) |>
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) +
  
  theme_minimal() + xlab("") + ylab("Taux d'intérêt (%)") +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  theme(legend.position = c(0.25, 0.9),
        legend.title = element_blank(),
        legend.direction = "vertical",
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  scale_y_continuous(breaks = 0.01*seq(-10, 100, .5),
                labels = percent_format(accuracy = .1)) +
  geom_hline(yintercept =  0, linetype = "dashed")

Related Data

Analyse des Données du Secteur Immobilier

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bdf	BSI1	Agrégats monétaires - France - BSI1	2026-09-16
bdf	CPP	Prix immobilier commercial - CPP	2026-08-10
bdf	FM	Marché financier, taux - FM	2026-09-17
bdf	MIR1	Taux d’intérêt - France - MIR1	2026-09-04
bdf	RPP	Prix de l’immobilier - RPP	2026-09-17
bdf	immobilier	Immobilier en France - immobilier	2026-08-01
cgedd	nombre-vente-maison-appartement-ancien	Nombre de ventes de logements anciens cumulé sur 12 mois - nombre-vente-maison-appartement-ancien	2026-08-01
ecb	BSI	Balance Sheet Items - BSI	2026-09-17
insee	CONSTRUCTION-LOGEMENTS	Construction de logements - CONSTRUCTION-LOGEMENTS	2026-09-17
insee	ENQ-CONJ-ART-BAT	Conjoncture dans l’artisanat du bâtiment - ENQ-CONJ-ART-BAT	2026-09-17
insee	ENQ-CONJ-IND-BAT	Conjoncture dans l’industrie du bâtiment - ENQ-CONJ-IND-BAT	2026-09-17
insee	ENQ-CONJ-PROMO-IMMO	Conjoncture dans la promotion immobilière - ENQ-CONJ-PROMO-IMMO	2026-09-17
insee	ENQ-CONJ-TP	Conjoncture dans les travaux publics - ENQ-CONJ-TP	2026-09-17
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insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens - IPLA-IPLNA-2015	2026-09-17
insee	IRL	Indice pour la révision d’un loyer d’habitation - IRL	2026-09-17
insee	PARC-LOGEMENTS	Estimations annuelles du parc de logements (EAPL) - PARC-LOGEMENTS	2026-09-04
insee	T_3217	3.217 – Principaux impôts par catégorie (En milliards d’euros) - t_3217	2026-09-18
insee	bdf2017	Budget de famille 2017 - bdf2017	2026-09-04
insee	conso-eff-fonction	Consommation effective des ménages par fonction - conso-eff-fonction	2026-08-02
notaires	arrdt	Prix au m² par arrondissement - arrdt	2026-09-17
notaires	dep	Prix au m² par département - dep	2026-09-17

Data on interest rates

source	dataset	Title	Updated
bdf	FM	Marché financier, taux - FM	2026-09-17
bis	CBPOL_D	Policy Rates, Daily - CBPOL_D	2026-09-20
bis	CBPOL_M	Policy Rates, Monthly - CBPOL_M	2026-09-20
ecb	FM	Financial market data - FM	2026-09-17
ecb	MIR	MFI Interest Rate Statistics - MIR	2026-09-17
eurostat	ei_mfir_m	Interest rates - monthly data - ei_mfir_m	2026-09-11
eurostat	irt_lt_mcby_m	EMU convergence criterion series - monthly data - irt_lt_mcby_m	2026-09-11
eurostat	irt_st_m	Money market interest rates - monthly data - irt_st_m	2026-09-11
fred	r	Interest Rates - r	2026-09-19
oecd	MEI	Main Economic Indicators - MEI	2026-08-02
oecd	MEI_FIN	Monthly Monetary and Financial Statistics (MEI) - MEI_FIN	2026-08-02
wdi	FR.INR.RINR	Real interest rate (%) - FR.INR.RINR	2026-09-18

Data on monetary policy

source	dataset	Title	Updated
bdf	FM	Marché financier, taux - FM	2026-09-17
bis	CBPOL	Policy Rates, Daily - CBPOL	2026-09-17
bis	CBPOL_D	Policy Rates, Daily - CBPOL_D	2026-09-20
bis	CBPOL_M	Policy Rates, Monthly - CBPOL_M	2026-09-20
ecb	BKN	Banknotes statistics - BKN	2026-09-17
ecb	BLS	Bank Lending Survey Statistics - BLS	2026-09-17
ecb	BSI	Balance Sheet Items - BSI	2026-09-17
ecb	BSI_PUB	Balance Sheet Items - Published series - BSI_PUB	2026-09-17
ecb	EST	Euro Short-Term Rate - EST	2026-09-17
ecb	FM	Financial market data - FM	2026-09-17
ecb	ILM	Internal Liquidity Management - ILM	2026-09-17
ecb	MIR	MFI Interest Rate Statistics - MIR	2026-09-17
ecb	RAI	Risk Assessment Indicators - RAI	2026-09-18
ecb	SUP	Supervisory Banking Statistics - SUP	2026-09-18
ecb	TGB	Target Balances - TGB	2026-09-18
ecb	YC	Financial market data - yield curve - YC	2026-09-18
ecb	YC_PUB	Financial market data - yield curve - Published series - YC_PUB	2026-09-18
ecb	liq_daily	Daily Liquidity - liq_daily	2026-09-18
eurostat	ei_mfir_m	Interest rates - monthly data - ei_mfir_m	2026-09-11
fred	r	Interest Rates - r	2026-09-19
oecd	MEI_FIN	Monthly Monetary and Financial Statistics (MEI) - MEI_FIN	2026-08-02

Données de taux d’intérêt

source	dataset	Title	Updated
bdf	FM	Marché financier, taux - FM	2026-09-17
bdf	MIR1	Taux d’intérêt - France - MIR1	2026-09-04