Table 7.21. Transactions of Defined Benefit Pension Plans (A) - T72100

Data - BEA

Last observation: 2021 (N = 36)

First observation: 1984 (N = 36)

Last data update: 25 juil. 2026, 12:36

Last compile: 05 sept. 2026, 22:43

Layout

• NIPA Website. html

Ex: GDP and Net National Income

T72100_A |>
  mutate(table = "T72100") |>
  bind_rows(T10105_A |>
              mutate(table = "T10105")) |>
  year_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineNumber == 1 & table == "T10105"]) |>
  filter(LineNumber %in% c(1, 13, 15) & table == "T72100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.15)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1980-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_x_date(breaks = seq(1930, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  ylab("% of GDP") + xlab("") +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Ex: Undistributed profits, government saving, personal saving

T72100_A |>
  mutate(table = "T72100") |>
  bind_rows(T10105_A |>
              mutate(table = "T10105")) |>
  year_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineNumber == 1 & table == "T10105"]) |>
  filter(LineNumber %in% c(9, 5, 10) & table == "T72100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.15)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1928-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_x_date(breaks = seq(1930, 2100, 5) |> paste0("-01-01") |> as.Date(),
               limits = c(1929, 2020) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  ylab("% of GDP") + xlab("") +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 1),
                     labels = scales::percent_format(accuracy = 1))

Ex 2: 1938, 1958, 1978, 1998, 2018 Table

Percent of GDP

T72100_A |>
  mutate(table = "T72100") |>
  bind_rows(T10105_A |>
              mutate(table = "T10105")) |>
  year_to_date() |>
  group_by(date) |>
  mutate(year = year(date)) |>
  filter(year %in% c(1938, 1958, 1978, 1998, 2018)) |>
  group_by(year) |>
  mutate(value = round(100*DataValue/DataValue[LineNumber == 1 & table == "T10105"], 1)) |>
  filter(table == "T72100") |>
  ungroup() |>
  select(2, 3, 7, 8) |>
  spread(year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Billions

T72100_A |>
  year_to_date() |>
  mutate(year = year(date)) |>
  filter(year %in% c(1938, 1958, 1978, 1998, 2018)) |>
  group_by(year) |>
  mutate(value = round(DataValue/1000)) |>
  ungroup() |>
  select(2, 3, 6, 7) |>
  spread(year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}