Owner-occupied housing price index (2015=100) - quarterly data

Data - Eurostat

Info

Last observation: Quarterly: 2026Q1 (N = 1,329)

First observation: Quarterly: 2005Q1 (N = 100)

Last data update: 11 aoû 2026, 19:21. Last compile: 12 aoû 2026, 03:12

Structure

freq

expend

unit

geo

Greece, Europe, France, Spain, Italy, Germany

Purchase Total

prc_hpi_ooq |>
  filter(expend == "TOTAL",
         geo %in% c("EL", "FR", "ES", "IT", "DE"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  group_by(geo) |>
  mutate(values = 100*values/values[date == as.Date("2011-01-01")]) |>
  filter(date >= as.Date("2009-01-01"),
         date <= as.Date("2016-01-01")) |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo),
         Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags + 
  theme_minimal() + xlab("") + ylab("100 = Janv. 2011") +
  scale_x_date(breaks = seq(1960, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_color_manual(values = c("#ED2939", "#000000", "#009246", "#FFC400")) + add_flags +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  theme(legend.position = "none",
        legend.title = element_blank())

Acquisitions of dwellings - DW_ACQ

prc_hpi_ooq |>
  filter(expend == "DW_ACQ",
         geo %in% c("EL", "FR", "ES", "IT", "DE"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  group_by(geo) |>
  mutate(values = 100*values/values[date == as.Date("2011-01-01")]) |>
  filter(date >= as.Date("2009-01-01"),
         date <= as.Date("2016-01-01")) |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo),
         Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags + 
  theme_minimal() + xlab("") + ylab("100 = Janv. 2011") +
  scale_x_date(breaks = seq(1960, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_color_manual(values = c("#ED2939", "#000000", "#009246", "#FFC400")) + add_flags +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  theme(legend.position = "none",
        legend.title = element_blank())

Ownership of new dwellings - DW_NEW

prc_hpi_ooq |>
  filter(expend == "DW_OWN",
         geo %in% c("EL", "FR", "ES", "IT", "DE"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  group_by(geo) |>
  mutate(values = 100*values/values[date == as.Date("2011-01-01")]) |>
  filter(date >= as.Date("2009-01-01"),
         date <= as.Date("2016-01-01")) |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo),
         Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + add_flags + 
  theme_minimal() + xlab("") + ylab("100 = Janv. 2011") +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_color_manual(values = c("#ED2939", "#000000", "#009246", "#FFC400")) + add_flags +
  scale_y_log10(breaks = seq(0, 200, 2)) +
  theme(legend.position = "none",
        legend.title = element_blank())

2006Q1

prc_hpi_ooq |>
  filter(time == "2006Q1") %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Purchase Total

Nobs

prc_hpi_ooq |>
  filter(expend == "TOTAL",
         unit == "I15_Q") |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo),
         Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  group_by(geo, Geo) |>
  arrange(time) |>
  summarise(first = first(time),
            last = last(time),
            Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

France, Italy, Germany

prc_hpi_ooq |>
  filter(expend == "TOTAL",
         geo %in% c("FR", "IT", "DE"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  
  mutate(Geo = ifelse(geo == "EA", "Europe", Geo),
         Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
  scale_color_identity() + add_flags + add_flags +
  scale_color_manual(values = c("#ED2939", "#000000", "#009246", "#FFC400")) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-100, 300, 5)) +
  ylab("House Price Index") + xlab("")

Belgium, Denmark, Sweden, United Kingdom

prc_hpi_ooq |>
  filter(expend == "TOTAL",
         geo %in% c("BE", "DK", "SE", "UK"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
  scale_color_identity() + add_flags + add_flags +
  scale_color_manual(values = c("#000000", "#C60C30", "#FECC00", "#6E82B5")) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-100, 300, 10)) +
  ylab("House Price Index") + xlab("")

All Series

France

prc_hpi_ooq |>
  filter(geo %in% c("FR"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  
  
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Expend, linetype = Expend) +
  scale_color_manual(values = viridis(11)[1:10]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-100, 300, 10)) +
  ylab("House Price Index") + xlab("")

Germany

prc_hpi_ooq |>
  filter(geo %in% c("DE"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  
  
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Expend, linetype = Expend) +
  scale_color_manual(values = viridis(11)[1:10]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-100, 300, 10)) +
  ylab("House Price Index") + xlab("")

Italy

prc_hpi_ooq |>
  filter(geo %in% c("IT"),
         unit == "I15_Q") |>
  quarter_to_date() |>
  
  
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Expend, linetype = Expend) +
  scale_color_manual(values = viridis(12)[1:11]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.6, 0.9),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-100, 300, 5)) +
  ylab("House Price Index") + xlab("")