Residential Property Prices

Data - Banque de France

Author

François Geerolf

🇫🇷 Version française

Info

Last observation: Trimestriel: 31 déc 2025 (N = 808)

First observation: Trimestriel: 31 mar 1992 (N = 808)

Last data update: 10 aoû 2026, 16:39. Last compile: 13 aoû 2026, 01:17

Structure

source	dataset	Title	.html	.rData
bdf	RPP	Prix de l'immobilier	2026-08-11	2026-08-10

Data on real estate

source	dataset	Title	.html	.rData
acpr	as151	Enquête annuelle du SGACPR sur le financement de l'habitat 2022	2026-08-11	2026-08-01
acpr	as160	Enquête annuelle du SGACPR sur le financement de l'habitat 2023	2026-08-11	2026-08-01
acpr	as174	Enquête annuelle du SGACPR sur le financement de l'habitat 2024	2026-08-11	2026-08-01
bdf	BSI1	Agrégats monétaires - France	2026-08-11	2026-08-10
bdf	CPP	Prix immobilier commercial	2026-08-11	2026-08-10
bdf	FM	Marché financier, taux	2026-08-11	2026-08-10
bdf	MIR	Taux d'intérêt - Zone euro	2026-08-11	2026-08-10
bdf	MIR1	Taux d'intérêt - France	2026-08-11	2026-08-10
bdf	RPP	Prix de l'immobilier	2026-08-11	2026-08-10
bdf	immobilier	Immobilier en France	2026-08-11	2026-08-01
cgedd	nombre-vente-maison-appartement-ancien	Nombre de ventes de logements anciens cumulé sur 12 mois	2026-08-11	2026-08-01
insee	CONSTRUCTION-LOGEMENTS	Construction de logements	2026-08-12	2026-08-11
insee	ENQ-CONJ-ART-BAT	Conjoncture dans l'artisanat du bâtiment	2026-08-12	2026-08-11
insee	ENQ-CONJ-IND-BAT	Conjoncture dans l'industrie du bâtiment - ENQ-CONJ-IND-BAT	2026-08-12	2026-08-11
insee	ENQ-CONJ-PROMO-IMMO	Conjoncture dans la promotion immobilière	2026-08-12	2026-08-11
insee	ENQ-CONJ-TP	Conjoncture dans les travaux publics	2026-08-12	2026-08-11
insee	ILC-ILAT-ICC	Indices pour la révision d’un bail commercial ou professionnel	2026-08-12	2026-08-11
insee	INDICES_LOYERS	Indices des loyers d'habitation (ILH)	2026-08-12	2026-08-11
insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens	2026-08-12	2026-08-11
insee	IRL	Indice pour la révision d’un loyer d’habitation	2026-08-12	2026-08-11
insee	PARC-LOGEMENTS	Estimations annuelles du parc de logements (EAPL)	2026-08-12	2026-07-23
insee	SERIES_LOYERS	Variation des loyers	2026-08-12	2026-08-11
insee	t_dpe_val	Dépenses de consommation des ménages pré-engagées	2026-08-12	2026-08-02
notaires	arrdt	Prix au m^2 par arrondissement - arrdt	2026-08-11	2026-08-11
notaires	dep	Prix au m^2 par département	2026-08-11	2026-08-11
olap	loyers	Loyers	2026-08-01	2026-08-01

Data on housing

source	dataset	Title	.html	.rData
bdf	RPP	Prix de l'immobilier	2026-08-11	2026-08-10
bis	LONG_PP	Residential property prices - detailed series	2026-08-11	2026-07-25
bis	SELECTED_PP	Property prices, selected series	2026-08-11	2026-08-11
ecb	RPP	Residential Property Price Index Statistics	2026-08-12	2026-08-12
eurostat	ei_hppi_q	House price index (2015 = 100) - quarterly data	2026-08-11	2026-08-11
eurostat	hbs_str_t223	Mean consumption expenditure by income quintile	2026-08-07	2026-08-11
eurostat	prc_hicp_midx	HICP (2015 = 100) - monthly data (index)	2026-08-12	2026-08-11
eurostat	prc_hpi_q	House price index (2015 = 100) - quarterly data	2026-08-12	2026-08-11
fred	housing	House Prices	2026-08-11	2026-08-11
insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens	2026-08-12	2026-08-11
oecd	SNA_TABLE5	Final consumption expenditure of households	2026-08-11	2026-08-02
oecd	housing	NA	NA	NA

LAST_COMPILE

LAST_COMPILE
2026-08-13

Last

date	Nobs
2025-12-31	7

Price per square meter of new flats

Metropolitan France, Ile-de-France

Code

RPP |>

  filter(RPP_DWELLING == "NF") |>
  mutate(Variable = gsub("Prix au mètre carré des appartements neufs, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.2, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price per square meter of new flats") +
  scale_y_log10(breaks = seq(0, 7000, 500),
                labels = dollar_format(suffix = " €/m2", prefix = "", accuracy = 1))

Price index of second-hand dwellings

100 = 2009

Log

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  mutate(value = 100*value/value[date == as.Date("2007-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Linear

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_continuous(breaks = seq(0, 7000, 10))

100 = 2015

Log

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Linear

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_continuous(breaks = seq(0, 7000, 10))

100 = 2001

Log

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  group_by(Variable) |>
  filter(date >= as.Date("2000-12-31")) |>
  mutate(value = 100*value/value[date == as.Date("2000-12-31")]) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Linear

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  group_by(Variable) |>
  filter(date >= as.Date("2000-12-31")) |>
  mutate(value = 100*value/value[date == as.Date("2000-12-31")]) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_continuous(breaks = seq(0, 7000, 10))

100 = 1998

Linear

Code

plot_lineaire <- RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  filter(date >= as.Date("1997-12-31")) |>
  mutate(value = 100*value/value[date == as.Date("1997-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_continuous(breaks = seq(0, 7000, 50))

plot_lineaire

Log

Code

plot_log <- plot_lineaire +
  ylab("") + scale_y_log10(breaks = seq(0, 7000, 50))

plot_log

Bind

Code

ggpubr::ggarrange(plot_lineaire + ggtitle("Linear scale"), plot_log + ggtitle("Log scale"), common.legend = T)

100 = 1999

Linear

Code

plot_lineaire <- RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  filter(date >= as.Date("1998-12-31")) |>
  mutate(value = 100*value/value[date == as.Date("1998-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1999, 2030, 5), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_continuous(breaks = seq(0, 7000, 50))

plot_lineaire

Log

Code

plot_log <- plot_lineaire +
  ylab("") + scale_y_log10(breaks = seq(0, 7000, 50))

plot_log

Bind

Code

ggpubr::ggarrange(plot_lineaire + ggtitle("Linear scale"), plot_log + ggtitle("Log scale"), common.legend = T)

100 = 2000

Paris, IDF, France

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF"),
         date >= as.Date("1999-12-31")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  mutate(value = 100*value/value[date == as.Date("1999-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings") +
  scale_y_log10(breaks = seq(0, 7000, 50))

Paris, France

Linear

Code

plot_lineaire <- RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF"),
         date >= as.Date("1998-12-31"),
         RPP_GEO_COV %in% c("CC", "00")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  mutate(value = 100*value/value[date == as.Date("1998-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal() + xlab("") + ylab("Price index of second-hand dwellings") +
  scale_x_date(breaks = seq(1999, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 7000, 50))

plot_lineaire

Log

Code

plot_log <- plot_lineaire +
  scale_y_log10(breaks = seq(0, 7000, 50)) + ylab("")

plot_log

Bind

Code

ggpubr::ggarrange(plot_lineaire + ggtitle("Linear scale"),
                  plot_log + ggtitle("Log scale"), common.legend = T)

100 = 2007

Paris, IDF, France

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF"),
         date >= as.Date("2007-12-31")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  mutate(value = 100*value/value[date == as.Date("2007-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings (2008 = 100") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Paris, France

Code

RPP |>

  filter(RPP_DWELLING %in% c("ED", "EF"),
         date >= as.Date("2007-12-31"),
         RPP_GEO_COV %in% c("CC", "00")) |>
  mutate(Variable = gsub("Indices des prix des logements anciens, ", "", Variable)) |>
  group_by(Variable) |>
  mutate(value = 100*value/value[date == as.Date("2007-12-31")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Price index of second-hand dwellings (2008 = 100") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Average sale price of a new house

Code

RPP |>

  filter(RPP_DWELLING == "NH") |>
  mutate(Variable = gsub("Prix de vente moyen d'une maison neuve, ","", Variable)) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +

  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Average sale price of a new house") +
  scale_y_log10(breaks = seq(0, 7000, 20))