Harmonised index of consumer prices - monthly data

Data - Eurostat

Info

source	dataset	.html	.RData
eurostat	ei_cphi_m	2024-10-09	2024-10-23

Data on inflation

source	dataset	.html	.RData
bis	CPI	2024-07-01	2022-01-20
ecb	CES	2024-10-08	2024-01-12
eurostat	nama_10_co3_p3	2024-10-09	2024-10-09
eurostat	prc_hicp_cow	2024-10-09	2024-10-08
eurostat	prc_hicp_ctrb	2024-10-09	2024-10-08
eurostat	prc_hicp_inw	2024-10-09	2024-10-23
eurostat	prc_hicp_manr	2024-10-09	2024-10-08
eurostat	prc_hicp_midx	2024-10-09	2024-10-23
eurostat	prc_hicp_mmor	2024-10-09	2024-10-08
eurostat	prc_ppp_ind	2024-10-09	2024-10-08
eurostat	sts_inpp_m	2024-06-24	2024-10-08
eurostat	sts_inppd_m	2024-10-09	2024-10-08
eurostat	sts_inppnd_m	2024-06-24	2024-10-08
fred	cpi	2024-09-18	2024-09-18
fred	inflation	2024-09-18	2024-09-18
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	2024-10-09	2023-11-21
insee	ILC-ILAT-ICC	2024-10-09	2024-10-23
insee	INDICES_LOYERS	2024-10-09	2024-10-23
insee	IPC-1970-1980	2024-10-09	2024-10-23
insee	IPC-1990	2024-10-09	2024-10-23
insee	IPC-2015	2024-10-15	2024-10-23
insee	IPC-PM-2015	2024-10-09	2024-10-23
insee	IPCH-2015	2024-10-16	2024-10-23
insee	IPGD-2015	2024-08-22	2024-09-20
insee	IPLA-IPLNA-2015	2024-10-09	2024-10-23
insee	IPPI-2015	2024-10-09	2024-10-09
insee	IRL	2024-10-09	2024-10-09
insee	SERIES_LOYERS	2024-10-09	2024-10-09
insee	T_CONSO_EFF_FONCTION	2024-10-09	2024-07-18

LAST_COMPILE

LAST_COMPILE
2024-10-24

Last

ei_cphi_m %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()

time	Nobs
2024M09	3039

unit

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	330492
RT1	Growth rate on previous period (t/t-1)	329404
RT12	Growth rate (t/t-12)	317436

s_adj

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)	977332

indic

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

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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic == "CP-HI00",
         geo %in% c("FR", "DE", "ES")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic == "CP-HI04",
         geo %in% c("FR", "DE", "ES")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("FR")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("DE")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("ES")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("EL")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("PT")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("PL")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("IT")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("NL")) %>%
  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

ei_cphi_m %>%
  filter(unit == "HICP2015",
         indic %in% c("CP-HI04", "CP-HI00", "CP-HIG", "CP-HIS"),
         geo %in% c("AT")) %>%
  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())