House price index (2015 = 100) - quarterly data

Data - Eurostat

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source	dataset	Title	.html	.rData
eurostat	prc_hpi_q	House price index (2015 = 100) - quarterly data	2025-10-10	2025-09-26
bdf	RPP	Prix de l'immobilier	2025-08-28	2025-08-24
bis	LONG_PP	Residential property prices - detailed series	2025-10-10	2024-05-10
bis	SELECTED_PP	Property prices, selected series	2025-10-10	2025-10-09
ecb	RPP	Residential Property Price Index Statistics	2025-10-09	2025-08-29
eurostat	ei_hppi_q	House price index (2015 = 100) - quarterly data	2025-10-10	2025-10-09
eurostat	hbs_str_t223	Mean consumption expenditure by income quintile	2025-10-01	2025-10-09
eurostat	prc_hicp_midx	HICP (2015 = 100) - monthly data (index)	2025-10-10	2025-10-09
fred	housing	House Prices	2025-10-09	2025-10-09
insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens	2025-10-10	2025-10-09
oecd	SNA_TABLE5	Final consumption expenditure of households	2025-09-29	2023-10-19
oecd	housing	NA	NA	NA

LAST_COMPILE

LAST_COMPILE
2025-10-11

Last

time	Nobs
2025Q2	98

indic

Code

ei_hppi_q %>%
  left_join(indic, by = "indic") %>%
  group_by(indic, Indic) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

indic	Indic	Nobs
TOTAL	Total	7681

unit

Code

ei_hppi_q %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
I15_NSA	Index, 2015=100 (NSA)	2596
RT1	Growth rate on previous period (t/t-1)	2595
RT4	Growth rate on the same quarter in previous year	2490

geo

Code

ei_hppi_q %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

time

Code

ei_hppi_q %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}