IPC utilisés par la calculette de revalorisation des pensions alimentaires - REVALORISATION-PENSIONS

Données - INSEE

Info

Last observation: M: 1998-12 (N = 3)

First observation: M: 1971-01 (N = 2)

Last data update: 17 aoû 2026, 01:02. Last compile: 18 aoû 2026, 02:20

Structure

source dataset Title Updated
insee REVALORISATION-PENSIONS IPC utilisés par la calculette de revalorisation des pensions alimentaires 2026-08-16

LAST_UPDATE

Code
`REVALORISATION-PENSIONS` |>
  group_by(LAST_UPDATE) |>
  summarise(Nobs = n()) |>
  print_table_conditional()
LAST_UPDATE Nobs
1999-01-30 1020

TITLE_FR

Code
`REVALORISATION-PENSIONS` |>
  group_by(IDBANK, TITLE_FR) |>
  summarise(Nobs = n(),
            date1 = first(TIME_PERIOD),
            date2 = last(TIME_PERIOD)) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

TIME_PERIOD

Code
`REVALORISATION-PENSIONS` |>
  group_by(TIME_PERIOD) |>
  summarise(Nobs = n()) |>
  arrange(desc(TIME_PERIOD)) |>
  print_table_conditional()

Séries

All

Code
`REVALORISATION-PENSIONS` |>
  month_to_date() |>
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = Ipc_revalorisation)) +
  
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 5),
                     labels = dollar_format(accuracy = 1, prefix = ""))

1971-

Code
`REVALORISATION-PENSIONS` |>
  month_to_date() |>
  group_by(IPC_REVALORISATION) |>
  arrange(date) |>
  mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("1981-01-01")]) |>
  ggplot() + ylab("Indice des prix") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = Ipc_revalorisation)) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.75, 0.3),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(0, 200, 5),
                     labels = dollar_format(accuracy = 1, prefix = ""))