Last observation: juil. 2026 (N = 43)
First observation: janv. 1959 (N = 38)
Last data update: 23 sept. 2026, 21:39
Last compile: 23 sept. 2026, 21:42
Layout
- NIPA Website. html
Ex 1: Rental income of persons with capital consumption adjustment
Code
T20600_M |>
month_to_date() |>
arrange(date, LineNumber) |>
group_by(date) |>
mutate(value = DataValue/DataValue[LineNumber == 27]) |>
filter(LineNumber %in% c(12, 13, 14, 15)) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
geom_rect(data = nber_recessions |>
filter(Peak > as.Date("1959-01-01")),
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 Disposable personal income") + xlab("") +
scale_color_manual(values = viridis(5)[1:4]) +
scale_y_continuous(breaks = 0.01*seq(0, 25, 1),
labels = scales::percent_format(accuracy = 1))
Ex 2: Compensation of Employees
Code
T20600_M |>
month_to_date() |>
group_by(date) |>
mutate(value = DataValue/DataValue[LineNumber == 27]) |>
filter(LineNumber %in% c(2, 3, 6, 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("1959-01-01")),
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 Disposable personal income") + xlab("") +
scale_color_manual(values = viridis(5)[1:4]) +
scale_y_continuous(breaks = 0.01*seq(0, 90, 10),
labels = scales::percent_format(accuracy = 1))
Ex 3: Government
Code
T20600_M |>
month_to_date() |>
group_by(date) |>
mutate(value = DataValue/DataValue[LineNumber == 27]) |>
filter(LineNumber %in% c(25, 17, 26)) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
theme(legend.title = element_blank(),
legend.position = c(0.35, 0.9)) +
geom_rect(data = nber_recessions |>
filter(Peak > as.Date("1959-01-01")),
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 Disposable personal income") + xlab("") +
scale_color_manual(values = viridis(5)[1:4]) +
scale_y_continuous(breaks = 0.01*seq(0, 90, 2),
labels = scales::percent_format(accuracy = 1))
Ex 4: Government social benefits to persons
Code
T20600_M |>
month_to_date() |>
group_by(date) |>
mutate(value = DataValue/DataValue[LineNumber == 27]) |>
filter(LineNumber %in% c(18:23)) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = LineDescription, linetype = LineDescription)) +
theme(legend.title = element_blank(),
legend.position = c(0.15, 0.8)) +
geom_rect(data = nber_recessions |>
filter(Peak > as.Date("1959-01-01")),
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(1959, 2022) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
ylab("% of Disposable personal income") + xlab("") +
scale_color_manual(values = viridis(7)[1:6]) +
scale_y_continuous(breaks = 0.01*seq(0, 90, 1),
labels = scales::percent_format(accuracy = 1))