Indices de prix et cours des matières premières
Data - INSEE
Info
Informations
- Août 2023. html
Données sur l’énergie
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| cre | TRV_electricite | TRV électricité | 2024-10-27 | 2025-06-22 |
| cre | TRV_gaz | TRV gaz | 2024-10-07 | 2021-09-05 |
| insee | IPPMP-NF | Indices de prix et cours des matières premières | 2026-04-04 | 2026-04-03 |
| insee | econ-gen-solde-ech-ext-2 | Solde des échanges extérieurs et principales composantes | 2026-04-04 | 2025-05-24 |
| insee | t_5404 | 5.404 – Importations de biens et de services par produit à prix courants (En milliards d'euros) | 2026-04-04 | 2021-08-01 |
| sdes | bilan_energetique | NA | NA | NA |
Data on energy
Code
load_data("energy.RData")
energy %>%
source_dataset_file_updates()| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| ec | WOB | Weekly Oil Bulletin | 2026-01-16 | 2024-08-25 |
| eurostat | ei_isen_m | Energy - monthly data | 2026-03-30 | 2026-03-30 |
| eurostat | nrg_bal_c | Complete energy balances | 2023-12-31 | 2026-03-30 |
| eurostat | nrg_pc_202 | Gas prices for household consumers - bi-annual data (from 2007 onwards) | 2026-03-31 | 2026-04-03 |
| eurostat | nrg_pc_203 | Gas prices for non-household consumers - bi-annual data (from 2007 onwards) | 2023-06-11 | 2026-04-03 |
| eurostat | nrg_pc_203_c | Gas prices components for non-household consumers - annual data | 2026-03-24 | 2026-04-02 |
| eurostat | nrg_pc_203_h | Gas prices for industrial consumers - bi-annual data (until 2007) | 2026-03-24 | 2026-03-30 |
| eurostat | nrg_pc_203_v | Non-household consumption volumes of gas by consumption bands | 2026-03-24 | 2026-03-30 |
| eurostat | nrg_pc_204 | Electricity prices for household consumers - bi-annual data (from 2007 onwards) | 2026-03-31 | 2026-04-03 |
| eurostat | nrg_pc_205 | Electricity prices for non-household consumers - bi-annual data (from 2007 onwards) | 2023-06-11 | 2026-04-02 |
| fred | energy | NA | NA | NA |
| iea | world_energy_balances_highlights_2022 | World Energy Balances Highlights (2022 edition) | 2024-06-20 | 2023-04-24 |
| wb | CMO | World Bank Commodity Price Data (The Pink Sheet) | 2026-02-12 | 2026-01-07 |
| wdi | EG.GDP.PUSE.KO.PP.KD | GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) | 2026-04-03 | 2026-04-02 |
| wdi | EG.USE.PCAP.KG.OE | Energy use (kg of oil equivalent per capita) | 2026-03-24 | 2026-04-02 |
| yahoo | energy | NA | NA | NA |
LAST_DOWNLOAD
Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/insee/IPPMP-NF.RData")$mtime)) %>%
print_table_conditional()| LAST_DOWNLOAD |
|---|
| 2026-04-04 |
Last
Code
`IPPMP-NF` %>%
group_by(TIME_PERIOD) %>%
summarise(Nobs = n()) %>%
arrange(desc(TIME_PERIOD)) %>%
head(1) %>%
print_table_conditional()| TIME_PERIOD | Nobs |
|---|---|
| 2026-02 | 131 |
TITLE_FR
Code
`IPPMP-NF` %>%
group_by(IDBANK, TITLE_FR) %>%
summarise(Nobs = n(),
date1 = first(TIME_PERIOD),
date2 = last(TIME_PERIOD)) %>%
arrange(-Nobs) %>%
print_table_conditional()BASIND
Code
`IPPMP-NF` %>%
left_join(BASIND, by = "BASIND") %>%
group_by(BASIND, Basind) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| BASIND | Basind | Nobs |
|---|---|---|
| SO | Sans objet | 38032 |
| 2010 | 2010 | 29482 |
| 2015 | 2015 | 379 |
DEVISE
Code
`IPPMP-NF` %>%
left_join(DEVISE, by = "DEVISE") %>%
group_by(DEVISE, Devise) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| DEVISE | Devise | Nobs |
|---|---|---|
| SO | Sans objet | 65317 |
| COUR_NORV | NA | 434 |
| DA | Dollar australien | 434 |
| LIT | Livre sterling | 434 |
| USD | Dollar US | 434 |
| YUAN | NA | 434 |
| DM | Dollar malais | 406 |
MONNAIE
Code
`IPPMP-NF` %>%
left_join(MONNAIE, by = "MONNAIE") %>%
group_by(MONNAIE, Monnaie) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| MONNAIE | Monnaie | Nobs |
|---|---|---|
| 0048 | Dollar US | 17855 |
| E | Prix en euros | 15108 |
| D | Prix en devises | 12449 |
| SO | Sans objet | 9682 |
| 0151 | Cent US | 5625 |
| 0207 | Euro | 3371 |
| 0201 | Euro avec rétropolation en euro converti à taux fixe | 1708 |
| 0147 | Yuan chinois | 1265 |
| 0014 | Couronne norvégienne | 434 |
| 0121 | Ringgit malaisien | 396 |
MATIERES_PREMIERES
Code
`IPPMP-NF` %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
group_by(MATIERES_PREMIERES, Matieres_premieres) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()NOUVEAU_FOURNISSEUR
Code
`IPPMP-NF` %>%
left_join(NOUVEAU_FOURNISSEUR, by = "NOUVEAU_FOURNISSEUR") %>%
group_by(NOUVEAU_FOURNISSEUR, Nouveau_fournisseur) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| NOUVEAU_FOURNISSEUR | Nouveau_fournisseur | Nobs |
|---|---|---|
| NOUVEAU | Nouveau | 67659 |
| SO | Sans objet | 234 |
INDICATEUR
Code
`IPPMP-NF` %>%
left_join(INDICATEUR, by = "INDICATEUR") %>%
group_by(INDICATEUR, Indicateur) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| INDICATEUR | Indicateur | Nobs |
|---|---|---|
| CIMP | Cours internationaux des matières premières | 35835 |
| IPIMPI | Indices des prix internationaux des matières importées | 19800 |
| IIEMP | Indices internationaux en euros des matières premières | 9682 |
| CDECMPI | Cours des devises étrangères | 2576 |
NATURE
Code
`IPPMP-NF` %>%
left_join(NATURE, by = "NATURE") %>%
group_by(NATURE, Nature) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| NATURE | Nature | Nobs |
|---|---|---|
| VALEUR_ABSOLUE | Valeur absolue | 38032 |
| INDICE | Indice | 29861 |
TIME_PERIOD
Code
`IPPMP-NF` %>%
group_by(TIME_PERIOD) %>%
summarise(Nobs = n()) %>%
arrange(desc(TIME_PERIOD)) %>%
print_table_conditional()Prix du pétrole
Valeur
All
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
left_join(MONNAIE, by = "MONNAIE") %>%
month_to_date %>%
ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut Brent (Londres) – par baril") +
geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
scale_x_date(breaks = seq(1990, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.3, 0.9),
legend.title = element_blank())
Log
Tous
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
left_join(MONNAIE, by = "MONNAIE") %>%
month_to_date %>%
ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut Brent (Londres) – par baril") +
geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
scale_x_date(breaks = seq(1990, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.3, 0.9),
legend.title = element_blank())
2004-
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
left_join(MONNAIE, by = "MONNAIE") %>%
month_to_date %>%
filter(date >= as.Date("2004-01-01")) %>%
ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut Brent (Londres) – par baril") +
geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
scale_x_date(breaks = seq(1990, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank())
2010-
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
left_join(MONNAIE, by = "MONNAIE") %>%
month_to_date %>%
filter(date >= as.Date("2004-01-01")) %>%
ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut Brent (Londres) – par baril") +
geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
scale_x_date(breaks = seq(1990, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
2 years
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
left_join(MONNAIE, by = "MONNAIE") %>%
month_to_date %>%
filter(date >= Sys.Date() - years(2)) %>%
ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut Brent (Londres) – par baril") +
geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
scale_x_date(breaks = "2 months",
labels = date_format("%b %Y")) +
scale_y_log10(breaks = seq(0, 200, 10)) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_text(aes(x = date, y = OBS_VALUE, label = round(OBS_VALUE, 1), color = Monnaie),
fontface ="plain", size = 3)