Indices de prix et cours des matières premières
Données - INSEE
Info
Last observation: 2026-05
First observation: 1990-01
Number of observations: 68 285
Last data update: 24 jul 2026, 03:03. Last compile: 24 jul 2026, 06:18
Structure
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 | 2026-07-23 | 2026-07-23 |
| insee | econ-gen-solde-ech-ext-2 | Solde des échanges extérieurs et principales composantes | 2026-07-23 | 2025-05-24 |
| insee | t_5404 | 5.404 – Importations de biens et de services par produit à prix courants (En milliards d'euros) | 2026-07-23 | 2021-08-01 |
| sdes | bilan_energetique | Bilan énergétique | 2026-07-18 | 2025-06-26 |
Data on energy
Code
load_data("energy.RData")
energy %>%
source_dataset_file_updates()| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| ec | WOB | Weekly Oil Bulletin | 2026-07-23 | 2026-07-23 |
| eurostat | ei_isen_m | Energy - monthly data | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_bal_c | Complete energy balances | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_pc_202 | Gas prices for household consumers - bi-annual data (from 2007 onwards) | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_pc_203 | Gas prices for non-household consumers - bi-annual data (from 2007 onwards) | 2023-06-11 | 2026-07-23 |
| eurostat | nrg_pc_203_c | Gas prices components for non-household consumers - annual data | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_pc_203_h | Gas prices for industrial consumers - bi-annual data (until 2007) | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_pc_203_v | Non-household consumption volumes of gas by consumption bands | 2026-07-23 | 2026-07-23 |
| eurostat | nrg_pc_204 | Electricity prices for household consumers - bi-annual data (from 2007 onwards) | 2026-05-27 | 2026-07-23 |
| eurostat | nrg_pc_205 | Electricity prices for non-household consumers - bi-annual data (from 2007 onwards) | 2023-06-11 | 2026-07-23 |
| fred | energy | Energy | 2026-07-22 | 2026-07-22 |
| 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) | 2026-07-22 | 2026-07-22 |
| wdi | EG.GDP.PUSE.KO.PP.KD | GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) | 2026-07-22 | 2026-07-22 |
| wdi | EG.USE.PCAP.KG.OE | Energy use (kg of oil equivalent per capita) | 2026-07-22 | 2026-07-22 |
| yahoo | energy | Energy | 2026-07-22 | 2026-07-22 |
LAST_DOWNLOAD
Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/insee/IPPMP-NF.RData")$mtime)) %>%
print_table_conditional()| LAST_DOWNLOAD |
|---|
| 2026-07-23 |
Last
Code
`IPPMP-NF` %>%
group_by(TIME_PERIOD) %>%
summarise(Nobs = n()) %>%
arrange(desc(TIME_PERIOD)) %>%
head(1) %>%
print_table_conditional()| TIME_PERIOD | Nobs |
|---|---|
| 2026-05 | 130 |
Prix du pétrole
Valeur
All
Code
`IPPMP-NF` %>%
filter(INDICATEUR == "CIMP",
MATIERES_PREMIERES == "41") %>%
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") %>%
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") %>%
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") %>%
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") %>%
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)