source | dataset | .html | .RData |
---|---|---|---|
bdf | RPP | 2024-07-26 | 2024-07-01 |
bis | LONG_PP | 2024-08-09 | 2024-05-10 |
bis | SELECTED_PP | 2024-10-31 | 2024-10-31 |
ecb | RPP | 2024-10-08 | 2024-10-30 |
eurostat | ei_hppi_q | 2024-11-05 | 2024-11-08 |
eurostat | hbs_str_t223 | 2024-11-05 | 2024-11-08 |
eurostat | prc_hicp_midx | 2024-11-01 | 2024-11-08 |
eurostat | prc_hpi_q | 2024-11-05 | 2024-10-09 |
fred | housing | 2024-11-01 | 2024-11-01 |
insee | IPLA-IPLNA-2015 | 2024-11-05 | 2024-11-05 |
oecd | housing | 2024-09-15 | 2020-01-18 |
oecd | SNA_TABLE5 | 2024-09-11 | 2023-10-19 |
House price index (2015 = 100) - quarterly data
Data - Eurostat
Info
LAST_DOWNLOAD
LAST_COMPILE
LAST_COMPILE |
---|
2024-11-08 |
Last
time | Nobs |
---|---|
2024Q2 | 104 |
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 | 7687 |
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) | 2604 |
RT1 | Growth rate on previous period (t/t-1) | 2597 |
RT4 | Growth rate on the same quarter in previous year | 2486 |
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 .} {