Harmonised index of consumer prices - monthly data
Data - Eurostat
Info
Data on inflation
source | dataset | .html | .RData |
---|---|---|---|
bis | CPI | 2024-07-01 | 2022-01-20 |
ecb | CES | 2024-11-21 | 2024-11-21 |
eurostat | nama_10_co3_p3 | 2024-11-08 | 2024-10-09 |
eurostat | prc_hicp_cow | 2024-11-05 | 2024-10-08 |
eurostat | prc_hicp_ctrb | 2024-11-05 | 2024-10-08 |
eurostat | prc_hicp_inw | 2024-11-05 | 2024-11-21 |
eurostat | prc_hicp_manr | 2024-11-21 | 2024-11-21 |
eurostat | prc_hicp_midx | 2024-11-01 | 2024-11-21 |
eurostat | prc_hicp_mmor | 2024-11-05 | 2024-11-21 |
eurostat | prc_ppp_ind | 2024-11-05 | 2024-10-08 |
eurostat | sts_inpp_m | 2024-06-24 | 2024-11-21 |
eurostat | sts_inppd_m | 2024-11-17 | 2024-11-17 |
eurostat | sts_inppnd_m | 2024-06-24 | 2024-11-17 |
fred | cpi | 2024-11-21 | 2024-11-21 |
fred | inflation | 2024-11-21 | 2024-11-21 |
imf | CPI | 2024-06-20 | 2020-03-13 |
oecd | MEI_PRICES_PPI | 2024-09-15 | 2024-04-15 |
oecd | PPP2017 | 2024-04-16 | 2023-07-25 |
oecd | PRICES_CPI | 2024-04-16 | 2024-04-15 |
wdi | FP.CPI.TOTL.ZG | 2023-01-15 | 2024-09-18 |
wdi | NY.GDP.DEFL.KD.ZG | 2024-09-18 | 2024-09-18 |
Données sur l’inflation en France
source | dataset | .html | .RData |
---|---|---|---|
insee | bdf2017 | 2024-11-09 | 2023-11-21 |
insee | ILC-ILAT-ICC | 2024-11-09 | 2024-11-09 |
insee | INDICES_LOYERS | 2024-11-09 | 2024-11-09 |
insee | IPC-1970-1980 | 2024-11-09 | 2024-11-09 |
insee | IPC-1990 | 2024-11-09 | 2024-11-09 |
insee | IPC-2015 | 2024-11-21 | 2024-11-21 |
insee | IPC-PM-2015 | 2024-11-21 | 2024-11-21 |
insee | IPCH-2015 | 2024-11-21 | 2024-11-21 |
insee | IPGD-2015 | 2024-11-21 | 2024-11-21 |
insee | IPLA-IPLNA-2015 | 2024-11-09 | 2024-11-09 |
insee | IPPI-2015 | 2024-11-21 | 2024-11-21 |
insee | IRL | 2024-11-09 | 2024-11-09 |
insee | SERIES_LOYERS | 2024-11-09 | 2024-11-09 |
insee | T_CONSO_EFF_FONCTION | 2024-11-09 | 2024-07-18 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-11-22 |
Last
Code
%>%
ei_cphi_m group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2024M10 | 3114 |
unit
Code
%>%
ei_cphi_m left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Unit | Nobs |
---|---|---|
HICP2015 | Harmonized consumer price index, 2015=100 | 331555 |
RT1 | Growth rate on previous period (t/t-1) | 330467 |
RT12 | Growth rate (t/t-12) | 318499 |
s_adj
Code
%>%
ei_cphi_m left_join(s_adj, by = "s_adj") %>%
group_by(s_adj, S_adj) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
s_adj | S_adj | Nobs |
---|---|---|
NSA | Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data) | 980521 |
indic
Code
%>%
ei_cphi_m left_join(indic, by = "indic") %>%
group_by(indic, Indic) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
geo
Code
%>%
ei_cphi_m left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Prices
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
== "CP-HI00",
indic %in% c("FR", "DE", "ES")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Geo)) +
theme_minimal() + xlab("") + ylab("Consumer Price Index, All items") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Housing
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
== "CP-HI04",
indic %in% c("FR", "DE", "ES")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Geo)) +
theme_minimal() + xlab("") + ylab("Housing") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Countries
France
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Germany
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("DE")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Spain
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("ES")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Greece
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("EL")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Portugal
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("PT")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Poland
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("PL")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Italy
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("IT")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Netherlands
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("NL")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())
Austria
Code
%>%
ei_cphi_m filter(unit == "HICP2015",
%in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
indic %in% c("AT")) %>%
geo %>%
month_to_date left_join(indic, by = "indic") %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.7, 0.30),
legend.title = element_blank())