| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| eurostat | prc_hpi_q | House price index (2015 = 100) - quarterly data | 2025-12-25 | 2025-12-24 |
| bdf | RPP | Prix de l'immobilier | 2025-12-24 | 2025-12-24 |
| bis | LONG_PP | Residential property prices - detailed series | 2025-12-24 | 2024-05-10 |
| bis | SELECTED_PP | Property prices, selected series | 2025-12-24 | 2025-12-24 |
| ecb | RPP | Residential Property Price Index Statistics | 2025-12-19 | 2025-08-29 |
| eurostat | ei_hppi_q | House price index (2015 = 100) - quarterly data | 2025-12-25 | 2025-12-25 |
| eurostat | hbs_str_t223 | Mean consumption expenditure by income quintile | 2025-10-11 | 2025-12-25 |
| eurostat | prc_hicp_midx | HICP (2015 = 100) - monthly data (index) | 2025-12-22 | 2025-12-25 |
| fred | housing | House Prices | 2025-12-25 | 2025-12-25 |
| insee | IPLA-IPLNA-2015 | Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens | 2025-12-25 | 2025-12-25 |
| oecd | SNA_TABLE5 | Final consumption expenditure of households | 2025-12-26 | 2023-10-19 |
| oecd | housing | NA | NA | NA |
House price index (2015 = 100) - quarterly data
Data - Eurostat
Info
LAST_DOWNLOAD
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2025-12-27 |
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 .}