Indice des prix à la consommation - Base 1970, 1980

Data - INSEE

Author

François Geerolf

Info

source dataset .html .RData
insee IPC-1970-1980 2024-11-22 2024-12-22

Données sur l’inflation en France

source dataset .html .RData
insee bdf2017 2024-12-22 2023-11-21
insee ILC-ILAT-ICC 2024-12-22 2024-12-22
insee INDICES_LOYERS 2024-12-22 2024-12-22
insee IPC-1970-1980 2024-11-22 2024-12-22
insee IPC-1990 2024-11-22 2024-12-22
insee IPC-2015 2024-12-22 2024-12-22
insee IPC-PM-2015 2024-12-22 2024-12-22
insee IPCH-2015 2024-12-22 2024-12-22
insee IPGD-2015 2024-12-22 2024-12-22
insee IPLA-IPLNA-2015 2024-11-22 2024-12-22
insee IPPI-2015 2024-12-22 2024-12-22
insee IRL 2024-11-22 2024-12-22
insee SERIES_LOYERS 2024-11-22 2024-12-22
insee T_CONSO_EFF_FONCTION 2024-11-22 2024-07-18

LAST_UPDATE

Code 
`IPC-1970-1980` %>%
  group_by(LAST_UPDATE) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(LAST_UPDATE)) %>%
  print_table_conditional()
LAST_UPDATE Nobs
2018-02-12 143261

Last TIME_PERIOD

Code 
`IPC-1970-1980` %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  head(1) %>%
  print_table_conditional()
TIME_PERIOD Nobs
1992-12 228

Info

  • Indice des prix des 295 postes.
Code 
i_g("bib/insee/series-longues-macroeconomiques-1949-1979/historique.png")

PRODUITS_IPC_1970_1980

All

Code 
`IPC-1970-1980` %>%
  left_join(PRODUITS_IPC_1970_1980,  by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980, Produits_ipc_1970_1980) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

POND

Code 
`IPC-1970-1980` %>%
  filter(NATURE == "POND") %>%
  left_join(PRODUITS_IPC_1970_1980,  by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980, Produits_ipc_1970_1980) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

CORRECTION

Code 
`IPC-1970-1980` %>%
  left_join(CORRECTION,  by = "CORRECTION") %>%
  group_by(CORRECTION, Correction) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
CORRECTION Correction Nobs
BRUT Non corrigé 141449
CVS Corrigé des variations saisonnières 1812

FREQ

Code 
`IPC-1970-1980` %>%
  left_join(FREQ,  by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
FREQ Freq Nobs
M Monthly 128968
A Annual 14293

NATURE

Code 
`IPC-1970-1980` %>%
  left_join(NATURE,  by = "NATURE") %>%
  group_by(NATURE, Nature) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
NATURE Nature Nobs
INDICE Indice 137011
POND Pondérations d'indice 3743
VARIATIONS_M Variations mensuelles 2484
VARIATIONS_A Variations annuelles 23

BASIND

Code 
`IPC-1970-1980` %>%
  left_join(BASIND,  by = "BASIND") %>%
  group_by(BASIND, Basind) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
BASIND Basind Nobs
1980 1980 99788
1970 1970 39730
SO Sans objet 3743

REGROUPEMENTS_IPC_1970_1980

Code 
`IPC-1970-1980` %>%
  left_join(REGROUPEMENTS_IPC_1970_1980,  by = "REGROUPEMENTS_IPC_1970_1980") %>%
  group_by(REGROUPEMENTS_IPC_1970_1980, Regroupements_ipc_1970_1980) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

PRODUITS_IPC_1970_1980

Code 
`IPC-1970-1980` %>%
  left_join(PRODUITS_IPC_1970_1980,  by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980, Produits_ipc_1970_1980) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

TITLE

TITLE_FR

Code 
`IPC-1970-1980` %>%
  group_by(TITLE_FR, IDBANK) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

TITLE_EN

Code 
`IPC-1970-1980` %>%
  group_by(TITLE_EN, IDBANK) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

REF_AREA

Code 
`IPC-1970-1980` %>%
  group_by(REF_AREA) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
REF_AREA Nobs
FM 129198
D75 14063

TIME_PERIOD

Code 
`IPC-1970-1980` %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional

Pondération

1979, 1989, 1992

Code 
`IPC-1970-1980` %>%
  filter(TIME_PERIOD %in% c("1949", "1969", "1992", "1979", "1989"),
         CORRECTION == "BRUT",
         NATURE == "POND",
         REF_AREA == "FM") %>%
  select_if(function(col) length(unique(col)) > 1) %>%
  select(-IDBANK, -TITLE_FR, -TITLE_EN, -DECIMALS) %>%
  left_join(REGROUPEMENTS_IPC_1970_1980,  by = "REGROUPEMENTS_IPC_1970_1980") %>%
  left_join(PRODUITS_IPC_1970_1980,  by = "PRODUITS_IPC_1970_1980") %>%
  spread(TIME_PERIOD, OBS_VALUE) %>%
  print_table_conditional()

Services de Santé

Code 
`IPC-1970-1980` %>%
  filter(NATURE == "POND",
         PRODUITS_IPC_1970_1980 == "760") %>%
  year_to_date %>%
  mutate(OBS_VALUE = OBS_VALUE/10000) %>%
  ggplot() + ylab("Poids des services de santé") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 10, 0.1),
                     labels = percent_format(accuracy = .1))

Produits pharmaceutiques

Code 
`IPC-1970-1980` %>%
  filter(NATURE == "POND",
         PRODUITS_IPC_1970_1980 == "587") %>%
  year_to_date %>%
  mutate(OBS_VALUE = OBS_VALUE/10000) %>%
  ggplot() + ylab("Poids des produits pharmaceutiques") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 10, 0.1),
                     labels = percent_format(accuracy = .1))

Table

1949, 1969

Code 
`IPC-1970-1980` %>%
  filter(TIME_PERIOD %in% c("1949", "1969"),
         CORRECTION == "BRUT",
         NATURE == "INDICE",
         REF_AREA == "FM") %>%
  mutate(TITLE_FR = gsub("Indice des prix des 295 postes - Base 100 en 1970 - ", "", TITLE_FR),
         TITLE_FR = gsub("Indice des prix des 295 postes - Base 100 en 1980 - ", "", TITLE_FR)) %>%
  select(TITLE_FR, BASIND, PROD = PRODUITS_IPC_1970_1980, REGR = REGROUPEMENTS_IPC_1970_1980, TIME_PERIOD, OBS_VALUE) %>%
  spread(TIME_PERIOD, OBS_VALUE) %>%
  print_table_conditional

Loyers

Mensuel - Base 1980

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         REGROUPEMENTS_IPC_1970_1980 == "PARIS11" | PRODUITS_IPC_1970_1980 == "711",
         BASIND == "1980",
         FREQ == "M") %>%
  month_to_date %>%
  group_by(REGROUPEMENTS_IPC_1970_1980, PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1990-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = TITLE_FR, linetype = TITLE_FR)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 10),
                     labels = dollar_format(accuracy = 1, prefix = ""))

Mensuel - Base 1970

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         REGROUPEMENTS_IPC_1970_1980 == "PARIS11" | PRODUITS_IPC_1970_1980 == "711",
         BASIND == "1970",
         FREQ == "M") %>%
  month_to_date %>%
  group_by(REGROUPEMENTS_IPC_1970_1980, PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1983-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = TITLE_FR, linetype = TITLE_FR)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 10),
                     labels = dollar_format(accuracy = 1, prefix = ""))

Mensuel - Base 1970

All

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         PRODUITS_IPC_1970_1980 %in% c("711", "SO"),
         BASIND == "1970",
         FREQ == "M") %>%
  month_to_date %>%
  left_join(PRODUITS_IPC_1970_1980, by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1983-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = Produits_ipc_1970_1980, linetype = Produits_ipc_1970_1980)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 10),
                     labels = dollar_format(accuracy = 1, prefix = ""))

1960

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         PRODUITS_IPC_1970_1980 %in% c("711", "SO"),
         BASIND == "1970",
         FREQ == "M") %>%
  month_to_date %>%
  filter(date >=as.Date("1960-01-01")) %>%
  left_join(PRODUITS_IPC_1970_1980, by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1960-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = Produits_ipc_1970_1980, linetype = Produits_ipc_1970_1980)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 1000, 50),
                     labels = dollar_format(accuracy = 1, prefix = ""))

Mensuel - Base 1970

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         PRODUITS_IPC_1970_1980 %in% c("711", "SO"),
         REGROUPEMENTS_IPC_1970_1980 == "SO",
         BASIND == "1980",
         FREQ == "M") %>%
  month_to_date %>%
  left_join(PRODUITS_IPC_1970_1980, by = "PRODUITS_IPC_1970_1980") %>%
  group_by(PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1983-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = Produits_ipc_1970_1980, linetype = Produits_ipc_1970_1980)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 10),
                     labels = dollar_format(accuracy = 1, prefix = ""))

Annual - Base 1970

Code 
`IPC-1970-1980` %>%
  filter(INDICATEUR == "IPC",
         REGROUPEMENTS_IPC_1970_1980 == "PARIS11" | PRODUITS_IPC_1970_1980 == "711",
         BASIND == "1970",
         FREQ == "A") %>%
  year_to_date %>%
  group_by(REGROUPEMENTS_IPC_1970_1980, PRODUITS_IPC_1970_1980) %>%
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1983-01-01")]) %>%
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = TITLE_FR, linetype = TITLE_FR)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 10),
                     labels = dollar_format(accuracy = 1, prefix = ""))