Residential Property Price Index Statistics

Data - ECB

~/data/ecb/

source	dataset	.html	.RData	.Rmd
ecb	RPP	2024-05-10	2024-05-11	2023-09-09

Data on housing

source	dataset	Title	Download	Compile
bdf	RPP	Prix de l’immobilier	2024-05-10	2024-05-10
ecb	RPP	Residential Property Price Index Statistics	2024-05-11	2024-05-10
bis	LONG_PP	Residential property prices - detailed series	2024-05-10	2024-05-10
bis	SELECTED_PP	Property prices, selected series	2024-05-10	2024-05-10
eurostat	ei_hppi_q	House price index (2015 = 100) - quarterly data	2024-05-09	2024-05-09
eurostat	hbs_str_t223	Mean consumption expenditure by income quintile	2024-05-09	2024-05-09
eurostat	prc_hicp_midx	HICP (2015 = 100) - monthly data (index)	2024-05-09	2024-05-09
eurostat	prc_hpi_q	House price index (2015 = 100) - quarterly data	2024-05-09	2024-05-09
fred	housing	House Prices	2024-05-10	2024-05-10
insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens	2024-05-09	2024-05-09
oecd	SNA_TABLE5	Final consumption expenditure of households	2023-10-19	2024-04-16
oecd	housing	Residential Property Price Indices (RPPIs) and related housing indicators	2020-01-18	2024-04-16

LAST_COMPILE

LAST_COMPILE
2024-05-11

Last

TIME_PERIOD	FREQ	Nobs
2018	A	79
2018-09	M	7
2018-S2	H	24
2019-Q1	Q	4

FREQ

RPP %>%
  left_join(FREQ,  by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

FREQ	Freq	Nobs
Q	Quarterly	6135
A	Annual	1999
H	Half-yearly	1739
M	Monthly	1155

RPP_DWELLING

RPP %>%
  left_join(RPP_DWELLING,  by = "RPP_DWELLING") %>%
  group_by(RPP_DWELLING, Rpp_dwelling) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

RPP_DWELLING	Rpp_dwelling	Nobs
TD	Residential property prices, New and existing dwellings	6335
ED	Residential property prices, Existing dwellings	2406
TF	Residential property prices, New and existing flats	923
ND	Residential property prices, New dwellings	730
TH	Residential property prices, New and existing houses	634

REF_AREA

RPP %>%
  left_join(REF_AREA,  by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
         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 .}

TIME_PERIOD

RPP %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional