Dépenses de consommation des ménages pré-engagées (trimestriel) - t_dpe_val

Données - INSEE

Version trimestrielle des dépenses pré-engagées (voir la page annuelle détaillée T_DEP_PRE_ENG). DPE = dépense pré-engagée, DPElog = part logement, B6 = revenu disponible brut, P3 = dépense de consommation.

Structure

Poids des dépenses pré-engagées

Code
`t_dpe_val` |>
  filter(variable %in% c("DPE/B6*100", "DPE/P3*100", "DPElog/B6*100")) |>
  mutate(serie = recode(variable,
    `DPE/B6*100` = "Dépenses pré-engagées / revenu disponible",
    `DPE/P3*100` = "Dépenses pré-engagées / consommation",
    `DPElog/B6*100` = "dont logement / revenu disponible")) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Part") +
  geom_line(aes(x = date, y = value / 100, color = serie)) +
  scale_x_date(date_breaks = "10 years", date_labels = "%Y") +
  scale_y_continuous(labels = percent_format(accuracy = 1)) +
  theme(legend.title = element_blank(), legend.position = "bottom") +
  guides(color = guide_legend(nrow = 3))

Niveaux (Mds €)

Code
`t_dpe_val` |>
  filter(variable %in% c("B6", "P3", "DPE", "DPElog", "RA = B6-DPE")) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Mds € (trimestriel)") +
  geom_line(aes(x = date, y = value, color = variable)) +
  scale_x_date(date_breaks = "10 years", date_labels = "%Y") +
  theme(legend.title = element_blank(), legend.position = "bottom") +
  guides(color = guide_legend(nrow = 2))

Derniers trimestres

Code
`t_dpe_val` |>
  filter(date >= last_d %m-% months(24)) |>
  mutate(value = round(value, 1)) |>
  tidyr::pivot_wider(names_from = variable, values_from = value) |>
  arrange(desc(date)) |>
  print_table_conditional()
date DPE DPElog P3-DPE P3 B6 RA = B6-DPE DPE/P3*100 DPE/B6*100 DPElog/B6*100 (DPE-DPElog)/B6*100
2026-04-01 145.0 109.4 250.2 395.2 475.8 330.8 36.7 30.5 23.0 7.5
2026-01-01 144.0 109.0 246.3 390.3 473.6 329.6 36.9 30.4 23.0 7.4
2025-10-01 143.7 109.0 245.6 389.3 471.3 327.6 36.9 30.5 23.1 7.4
2025-07-01 142.6 108.5 244.9 387.5 469.0 326.4 36.8 30.4 23.1 7.3
2025-04-01 141.3 107.5 244.4 385.7 469.0 327.7 36.6 30.1 22.9 7.2
2025-01-01 141.7 108.0 243.2 384.9 467.7 326.0 36.8 30.3 23.1 7.2
2024-10-01 140.2 107.4 242.6 382.9 469.7 329.5 36.6 29.9 22.9 7.0
2024-07-01 141.6 106.6 242.4 384.0 470.5 328.9 36.9 30.1 22.7 7.4
2024-04-01 139.6 105.7 239.6 379.3 464.9 325.3 36.8 30.0 22.7 7.3