House price index (2015 = 100) - quarterly data

Data - Eurostat

~/data/eurostat/

Info

LAST_DOWNLOAD

source	dataset	.html	.RData
bdf	RPP	2024-05-08	2024-05-08
bis	LONG_PP	2024-04-19	2024-04-19
bis	SELECTED_PP	2024-04-19	2024-04-19
ecb	RPP	2024-04-19	2024-04-19
eurostat	ei_hppi_q	2024-04-18	2024-05-09
eurostat	hbs_str_t223	2024-04-18	2024-05-09
eurostat	prc_hicp_midx	2024-04-18	2024-05-09
eurostat	prc_hpi_q	2024-04-18	2024-05-09
fred	housing	2024-04-26	2024-04-26
insee	IPLA-IPLNA-2015	2024-05-09	2024-05-09
oecd	housing	2024-04-16	2020-01-18
oecd	SNA_TABLE5	2024-04-16	2023-10-19

LAST_COMPILE

LAST_COMPILE
2024-05-09

Last

time	Nobs
2023Q4	104

indic

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	7479

unit

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)	2536
RT1	Growth rate on previous period (t/t-1)	2527
RT4	Growth rate on the same quarter in previous year	2416

geo

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

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