1.105 – Produit intérieur brut - les trois approches à prix courants (En milliards d’euros) - t_1105

Données - INSEE

Auteur

François Geerolf

Info

Last observation: 2019-01-01 (N = 14)

First observation: 1949-01-01 (N = 14)

Last data update: 02 aoû 2026, 11:05. Last compile: 18 aoû 2026, 02:32

Structure

line

2019

Code

t_1105 |>
  filter(date == as.Date("2019-12-31")) |>
  select(-date) |>
  mutate(value = round(value) |> paste0(" Mds€")) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Investissement, Exportations, Importations

Code

t_1105 |>
  filter(line %in% c(7, 8, 9)) |>
  left_join(gdp, by = "date") |>
  ggplot() + geom_line(aes(x = date, y = value / gdp, color = Line, linetype = Line)) +
  theme_minimal() + xlab("") + ylab("% du PIB") +
  scale_x_date(breaks = seq(1945, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 2),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.75, 0.15),
        legend.title = element_blank())

Consommation, Rémunération des salariés

Plus de détail sur la consommation finale. html

Code

t_1105 |>
  filter(line %in% c(6, 11)) |>
  left_join(gdp, by = "date") |>
  ggplot() + geom_line(aes(x = date, y = value / gdp, color = Line, linetype = Line)) +
  theme_minimal() + xlab("") + ylab("% du PIB") +
  scale_x_date(breaks = seq(1945, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 5),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.position = c(0.75, 0.15),
        legend.title = element_blank())

Exportations, Importations

1949-2020

Code

t_1105 |>
  filter(line %in% c(8, 9)) |>
  left_join(gdp, by = "date") |>
  ggplot() + geom_line(aes(x = date, y = value / gdp, color = Line, linetype = Line)) +
  theme_minimal() + xlab("") + ylab("% du PIB") +
  scale_x_date(breaks = seq(1945, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 2),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.position = c(0.75, 0.15),
        legend.title = element_blank())

1990-2020

Code

t_1105 |>
  filter(line %in% c(8, 9)) |>
  filter(date >= as.Date("1990-01-01")) |>
  left_join(gdp, by = "date") |>
  ggplot() + geom_line(aes(x = date, y = value / gdp, color = Line, linetype = Line)) +
  theme_minimal() + xlab("") + ylab("% du PIB") +
  scale_x_date(breaks = seq(1945, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 2),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.position = c(0.75, 0.15),
        legend.title = element_blank())