Residential Property Price Index Statistics

Data - ECB

source dataset .html .qmd .RData
ecb RPP 2024-09-19 2024-06-14 2024-10-08

Data on housing

source dataset Title Download Compile
bdf RPP Prix de l'immobilier 2024-07-01 [2024-07-26]
ecb RPP Residential Property Price Index Statistics 2024-10-08 [2024-09-19]
bis LONG_PP Residential property prices - detailed series 2024-05-10 [2024-08-09]
bis SELECTED_PP Property prices, selected series 2024-05-10 [2024-08-09]
eurostat ei_hppi_q House price index (2015 = 100) - quarterly data 2024-10-08 [2024-09-30]
eurostat hbs_str_t223 Mean consumption expenditure by income quintile 2024-10-08 [2024-09-15]
eurostat prc_hicp_midx HICP (2015 = 100) - monthly data (index) 2024-10-08 [2024-10-01]
eurostat prc_hpi_q House price index (2015 = 100) - quarterly data 2024-09-14 [2024-10-01]
fred housing House Prices 2024-09-18 [2024-09-18]
insee IPLA-IPLNA-2015 Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens 2024-10-03 [2024-10-04]
oecd SNA_TABLE5 Final consumption expenditure of households 2023-10-19 [2024-09-11]
oecd housing Residential Property Price Indices (RPPIs) and related housing indicators 2020-01-18 [2024-09-15]

LAST_COMPILE

LAST_COMPILE
2024-10-09

Last

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

FREQ

Code
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

Code
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

Code
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

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