Prix au m² des appartements anciens sous-jacents aux indices Notaires-INSEE - HistoriquedesprixaumappartementsanciensParispararrdt

Data - Notaires

Author

François Geerolf

Last observation: Q3 2025 (N = 21)

First observation: Q4 1995 (N = 21)

Last data update: 04 sept. 2026, 00:11

Last compile: 04 sept. 2026, 00:11

Exemples

2008-

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(date %in% c(as.Date("2008-01-01"), max(date))) |>
  spread(date, value) %>%
  #setNames(c("Arrondissement", "2021T3", "2023T2")) %>%
  mutate(`Croissance (%)` = round(100*(.[[3]]/.[[2]]-1), 1),
         `Croissance (€)` = round(.[[3]]-.[[2]])) |>
  arrange(-`Croissance (%)`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

2009Q2-

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(date %in% c(as.Date("2009-04-01"), max(date))) |>
  mutate(date = paste0("Prix m2 ", date)) |>
  spread(date, value) %>%
  #setNames(c("Arrondissement", "2021T3", "2023T2")) %>%
  mutate(`Croissance (%)` = round(100*(.[[3]]/.[[2]]-1), 1),
         `Croissance (€)` = round(.[[3]]-.[[2]])) |>
  arrange(-`Croissance (%)`) |>
  rename(arrdt = Location) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

2008-2020

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(date %in% c(as.Date("2008-01-01"), as.Date("2020-01-01"))) |>
  spread(date, value) %>%
  #setNames(c("Arrondissement", "2021T3", "2023T2")) %>%
  mutate(`Croissance (%)` = round(100*(.[[3]]/.[[2]]-1), 1),
         `Croissance (€)` = round(.[[3]]-.[[2]])) |>
  arrange(-`Croissance (%)`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

2022T2-2023T2

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(date %in% c(as.Date("2022-04-01"), as.Date("2023-04-01"))) |>
  spread(date, value) %>%
  #setNames(c("Arrondissement", "2021T3", "2023T2")) %>%
  mutate(`Croissance (%)` = round(100*(.[[3]]/.[[2]]-1), 1),
         `Croissance (€)` = round(.[[3]]-.[[2]])) |>
  arrange(-`Croissance (%)`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

2021T3-2023T2

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(date %in% c(as.Date("2021-07-01"), as.Date("2023-04-01"))) |>
  spread(date, value) %>%
  #setNames(c("Arrondissement", "2021T3", "2023T2")) %>%
  mutate(`Croissance (%)` = round(100*(.[[3]]/.[[2]]-1), 1),
         `Croissance (€)` = round(.[[3]]-.[[2]])) |>
  arrange(-`Croissance (%)`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

100 = 2008

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("Centre", "6e", "10e")) |>
  group_by(Location) |>
  mutate(value = 100*value/value[date == as.Date("2008-01-01")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Location)) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Indice des prix au mètre carré (2008 = 100") +
  scale_y_log10(breaks = seq(0, 7000, 10))

Carte arrondissements

Code 
i_g("bib/france/arrondissements-paris-2.jpg")

Prix mètre carré

13ème, 14ème, 15ème arrondissement

All

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("13e", "14e", "15e")) |>
  group_by(Location) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 1000),
                labels = dollar_format(p = "", su = "€", a = 1))

2014-

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("13e", "14e", "15e")) |>
  group_by(Location) |>
  filter(date >= as.Date("2014-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 1000),
                labels = dollar_format(p = "", su = "€", a = 1))

2017-

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("13e", "14e", "15e")) |>
  group_by(Location) |>
  filter(date >= as.Date("2017-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 200),
                labels = dollar_format(p = "", su = "€", a = 1))

2018-

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("13e", "14e", "15e")) |>
  group_by(Location) |>
  filter(date >= as.Date("2018-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 200),
                labels = dollar_format(p = "", su = "€", a = 1))

16ème, 6ème, 7ème arrondissement

Value

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("16e", "6e", "7e")) |>
  group_by(Location) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 1000),
                labels = dollar_format(p = "", su = "€", a = 1))

100 = 2008

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("16e", "6e", "7e")) |>
  group_by(Location) |>
  mutate(value = 100*value/value[date == as.Date("2008-01-01")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Indice des prix au mètre carré (2008 = 100)") +
  scale_y_log10(breaks = seq(0, 7000, 10))

6ème, 5ème, 14ème arrondissement

Value

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("6e", "5e", "14e")) |>
  group_by(Location) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 1000),
                labels = dollar_format(p = "", su = "€", a = 1))

100 = 2008

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("6e", "5e", "14e")) |>
  group_by(Location) |>
  mutate(value = 100*value/value[date == as.Date("2008-01-01")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = gsub("e", "ème arrondissement", Location))) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Indice des prix au mètre carré (2008 = 100)") +
  scale_y_log10(breaks = seq(0, 7000, 10))

1er, 2ème, 3ème arrondissement

Value

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("1er", "2e", "3e")) |>
  mutate(Location = case_when(Location == "1er" ~ "1er arrondissement",
                              Location == "2e" ~ "2ème arrondissement",
                              Location == "3e" ~ "3ème arrondissement")) |>
  group_by(Location) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Location)) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Prix au mètre carré") +
  scale_y_log10(breaks = seq(0, 17000, 1000),
                labels = dollar_format(p = "", su = "€", a = 1))

100 = 2008

Code 
HistoriquedesprixaumappartementsanciensParispararrdt |>
  filter(Location %in% c("1er", "2e", "3e")) |>
  mutate(Location = case_when(Location == "1er" ~ "1er arrondissement",
                              Location == "2e" ~ "2ème arrondissement",
                              Location == "3e" ~ "3ème arrondissement")) |>
  group_by(Location) |>
  mutate(value = 100*value/value[date == as.Date("2008-01-01")]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Location)) +
  
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2050, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Indice des prix au mètre carré (2008 = 100)") +
  scale_y_log10(breaks = seq(0, 7000, 10))