House price index (2015 = 100) - quarterly data

Data - Eurostat

Author

Info

LAST_DOWNLOAD

source	dataset	.html	.RData
bdf	RPP	2025-08-28	2025-08-24
bis	LONG_PP	2025-08-28	2024-05-10
bis	SELECTED_PP	2025-08-28	2024-10-31
ecb	RPP	2025-08-26	2025-08-28
eurostat	ei_hppi_q	2025-08-27	2025-08-28
eurostat	hbs_str_t223	2025-08-27	2025-08-28
eurostat	prc_hicp_midx	2025-08-27	2025-08-28
eurostat	prc_hpi_q	2025-08-27	2025-08-28
fred	housing	2025-08-28	2025-08-28
insee	IPLA-IPLNA-2015	2025-08-26	2025-08-28
oecd	housing	2025-08-25	2020-01-18
oecd	SNA_TABLE5	2025-08-25	2023-10-19

LAST_COMPILE

LAST_COMPILE
2025-08-28

Last

time	Nobs
2025Q1	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	7583

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)	2564
RT1	Growth rate on previous period (t/t-1)	2562
RT4	Growth rate on the same quarter in previous year	2457

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 .}