Harmonised index of consumer prices - monthly data

Data - Eurostat

Author

Info

source	dataset	Title	.html	.rData
eurostat	ei_cphi_m	Harmonised index of consumer prices - monthly data	2025-10-10	2025-10-09

Data on inflation

source	dataset	Title	.html	.rData
bis	CPI	Consumer Price Index	2025-10-10	2025-10-09
ecb	CES	Consumer Expectations Survey	2025-08-28	2025-05-24
eurostat	nama_10_co3_p3	Final consumption expenditure of households by consumption purpose (COICOP 3 digit)	2025-10-10	2025-09-26
eurostat	prc_hicp_cow	HICP - country weights	2025-10-10	2025-10-10
eurostat	prc_hicp_ctrb	Contributions to euro area annual inflation (in percentage points)	2025-10-10	2025-10-10
eurostat	prc_hicp_inw	HICP - item weights	2025-10-10	2025-10-09
eurostat	prc_hicp_manr	HICP (2015 = 100) - monthly data (annual rate of change)	2025-10-10	2025-10-10
eurostat	prc_hicp_midx	HICP (2015 = 100) - monthly data (index)	2025-10-10	2025-10-09
eurostat	prc_hicp_mmor	HICP (2015 = 100) - monthly data (monthly rate of change)	2025-10-10	2025-10-09
eurostat	prc_ppp_ind	Purchasing power parities (PPPs), price level indices and real expenditures for ESA 2010 aggregates	2025-10-10	2025-10-10
eurostat	sts_inpp_m	Producer prices in industry, total - monthly data	2025-10-10	2025-10-09
eurostat	sts_inppd_m	Producer prices in industry, domestic market - monthly data	2025-10-10	2025-10-10
eurostat	sts_inppnd_m	Producer prices in industry, non domestic market - monthly data	2024-06-24	2025-10-10
fred	cpi	Consumer Price Index	2025-10-09	2025-10-09
fred	inflation	Inflation	2025-10-09	2025-10-09
imf	CPI	Consumer Price Index - CPI	2025-08-28	2020-03-13
oecd	MEI_PRICES_PPI	Producer Prices - MEI_PRICES_PPI	2025-09-29	2024-04-15
oecd	PPP2017	2017 PPP Benchmark results	2024-04-16	2023-07-25
oecd	PRICES_CPI	Consumer price indices (CPIs)	2024-04-16	2024-04-15
wdi	FP.CPI.TOTL.ZG	Inflation, consumer prices (annual %)	2023-01-15	2025-09-27
wdi	NY.GDP.DEFL.KD.ZG	Inflation, GDP deflator (annual %)	2025-10-10	2025-09-27

Données sur l’inflation en France

source	dataset	Title	.html	.rData
insee	ILC-ILAT-ICC	Indices pour la révision d’un bail commercial ou professionnel	2025-10-10	2025-10-09
insee	INDICES_LOYERS	Indices des loyers - Base 2019	2025-10-10	2025-10-09
insee	IPC-1970-1980	Indice des prix à la consommation - Base 1970, 1980	2025-10-10	2025-10-09
insee	IPC-1990	Indices des prix à la consommation - Base 1990	2025-10-10	2025-10-09
insee	IPC-2015	Indice des prix à la consommation - Base 2015	2025-10-10	2025-10-10
insee	IPC-PM-2015	Prix moyens de vente de détail	2025-10-10	2025-10-09
insee	IPCH-2015	Indices des prix à la consommation harmonisés	2025-10-10	2025-10-09
insee	IPCH-IPC-2015-ensemble	Indices des prix à la consommation harmonisés	2025-10-10	2025-10-10
insee	IPGD-2015	Indice des prix dans la grande distribution	2025-10-10	2025-05-24
insee	IPLA-IPLNA-2015	Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens	2025-10-10	2025-10-09
insee	IPPI-2015	Indices de prix de production et d'importation dans l'industrie	2025-10-10	2025-10-10
insee	IRL	Indice pour la révision d’un loyer d’habitation	2025-10-10	2025-10-09
insee	SERIES_LOYERS	Variation des loyers	2025-10-10	2025-10-10
insee	T_CONSO_EFF_FONCTION	Consommation effective des ménages par fonction	2025-10-10	2024-07-18
insee	bdf2017	Budget de famille 2017	2025-10-10	2023-11-21
insee	echantillon-agglomerations-IPC-2024	Échantillon d’agglomérations enquêtées de l’IPC en 2024	2025-10-10	2025-04-02
insee	liste-varietes-IPC-2024	Liste des variétés pour la mesure de l'IPC en 2024	2025-10-10	2025-04-02
insee	ponderations-elementaires-IPC-2024	Pondérations élémentaires 2024 intervenant dans le calcul de l’IPC	2025-10-10	2025-04-02

LAST_COMPILE

LAST_COMPILE
2025-10-11

Last

Code

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

time	Nobs
2025M09	297

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	327792
RT1	Growth rate on previous period (t/t-1)	326760
RT12	Growth rate (t/t-12)	315342

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)	969894

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",
         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

Code

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

Code

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

Code

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

Code

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

Code

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

Code

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

Code

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

Code

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

Code

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

Code

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())