Table 2.9. Personal Income and Its Disposition by Households and by Nonprofit Institutions Serving Households (A) - T20900

Data - BEA

Author

François Geerolf

Last observation: 2020 (N = 86)

First observation: 1992 (N = 86)

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

Last compile: 05 sept. 2026, 22:42

Layout

  • NIPA Website. html

Ex 1: Main Components of income

Code 
T20900_A |>
  year_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineDescription == "Equals: Disposable personal income"]) |>
  filter(LineNumber %in% c(2, 3, 4, 5, 9)) |>
  ggplot() + theme_minimal() + 
  geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.5)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1991-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = 0, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_x_date(breaks = seq(1925, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  ylab("% of Disposable Personal Income") + xlab("") +
  scale_color_manual(values = viridis(7)[1:5]) +
  scale_y_continuous(breaks = 0.01*seq(0, 80, 5),
                     labels = scales::percent_format(accuracy = 1))

Ex 1: Main Components of income

Code 
T20900_A |>
  year_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineDescription == "Personal income"]) |>
  filter(LineNumber %in% c(2, 3, 4, 5, 9)) |>
  ggplot() + theme_minimal() + 
  geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.5)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1991-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = 0, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_x_date(breaks = seq(1925, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  ylab("% of Personal Income") + xlab("") +
  scale_color_manual(values = viridis(7)[1:5]) +
  scale_y_continuous(breaks = 0.01*seq(0, 80, 5),
                     labels = scales::percent_format(accuracy = 1))

Ex 2: 1998, 2008, 2018 Table

Percent (% of Personal Income)

Code 
T20900_A |>
  year_to_date() |>
  mutate(year = year(date)) |>
  filter(year %in% c(1998, 2008, 2018)) |>
  group_by(year) |>
  mutate(value = round(100*DataValue/DataValue[LineDescription == "Personal income"], 1)) |>
  ungroup() |>
  select(2, 3, 6, 7) |>
  spread(year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Percent (% of Diposable Personal Income)

Code 
T20900_A |>
  year_to_date() |>
  mutate(year = year(date)) |>
  filter(year %in% c(1998, 2008, 2018)) |>
  group_by(year) |>
  mutate(value = round(100*DataValue/DataValue[LineDescription == "Equals: Disposable personal income"], 1)) |>
  ungroup() |>
  select(2, 3, 6, 7) |>
  spread(year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Billions

Code 
T20900_A |>
  year_to_date() |>
  mutate(year = year(date)) |>
  filter(year %in% c(1998, 2008, 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 .}