6.104-106 - Consommation intermédiaire par branche (38 postes) - T_6104_6106

Données - INSEE

Auteur

François Geerolf

Last observation: 2025 (N = 282)

First observation: 1949 (N = 63)

Last data update: 08 sept. 2026, 14:35

Last compile: 24 sept. 2026, 01:35

Structure

Consommation intermédiaire par grande branche

Consommations intermédiaires (biens et services achetés et transformés dans le processus productif) par branche.

Code 
`T_6104_6106` |>
  filter(sheet == "T_6104 en niveau", grepl("^A5_", code)) |>
  group_by(year) |> mutate(part = value / sum(value)) |> ungroup() |>
  arrange(desc(code)) |> mutate(label = factor(label, levels = unique(label))) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Part du total") +
  geom_area(aes(x = year, y = part, fill = label)) +
  scale_x_continuous(breaks = seq(1950, 2030, 10)) +
  scale_y_continuous(labels = percent_format(accuracy = 1)) +
  scale_fill_manual(values = viridis(5)) +
  theme(legend.title = element_blank(), legend.position = "bottom") +
  guides(fill = guide_legend(nrow = 3))

En points de PIB

Code 
`T_6104_6106` |>
  filter(sheet == "T_6104 en niveau", grepl("^A5_", code)) |>
  left_join(pib, by = "year") |>
  ggplot() + theme_minimal() + xlab("") + ylab("% du PIB") +
  geom_line(aes(x = year, y = value / pib, color = label)) +
  scale_x_continuous(breaks = seq(1950, 2030, 10)) +
  scale_y_continuous(labels = percent_format(accuracy = 1)) +
  theme(legend.title = element_blank(), legend.position = "bottom") +
  guides(color = guide_legend(nrow = 3))

En volume (base 100 en 1980)

Code 
`T_6104_6106` |>
  filter(sheet == "T_6105 en niveau", grepl("^A5_", code)) |>
  group_by(code) |> mutate(value = 100 * value / value[year == 1980]) |> ungroup() |>
  ggplot() + theme_minimal() + xlab("") + ylab("Volume (1980 = 100, échelle log)") +
  geom_line(aes(x = year, y = value, color = label)) +
  scale_x_continuous(breaks = seq(1950, 2030, 10)) + scale_y_log10() +
  theme(legend.title = element_blank(), legend.position = "bottom") +
  guides(color = guide_legend(nrow = 3))

Par branche détaillée (2025)

Code 
`T_6104_6106` |>
  filter(sheet == "T_6104 en niveau", year == last_y, grepl("^A38_", code)) |>
  mutate(label = reorder(str_trunc(label, 55), value)) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Consommation intermédiaire (Mds €)") +
  geom_col(aes(x = label, y = value), fill = "#2b6cb0") + coord_flip()

Table (2025)

Code 
`T_6104_6106` |>
  filter(sheet == "T_6104 en niveau", year == last_y, grepl("^A5_", code)) |>
  transmute(Branche = label, Code = code, `Mds €` = round(value, 1),
            `% du total` = round(100 * value / sum(value), 1)) |>
  print_table_conditional()
Branche Code Mds € % du total
Agriculture, sylviculture et pêche A5_AZ 65.4 2.3
Industrie manufacturière, industries extractives et autres A5_BE 846.7 30.0
Construction A5_FZ 253.5 9.0
Services principalement marchands A5_GU 1435.9 50.9
Services principalement non marchands (*) A5_OQ 222.1 7.9