Table 5.1. Saving and Investment by Sector (A) (Q) - T50100

Data - BEA

Author

François Geerolf

Info

Last observation: Q: 2026Q2 (N = 35) · A: 2025 (N = 64)

First observation: A: 1929 (N = 39) · Q: 1947Q1 (N = 39)

Last data update: 16 aoû 2026, 19:45. Last compile: 17 aoû 2026, 22:47

Layout

  • NIPA Website. html

Gross saving, Net saving, CCA

Code 
T50100 |>
  filter(FREQ == "A") |>
  select(-FREQ) |>
  mutate(table = "T50100") |>
  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, 2, 13) & table == "T50100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = 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(),
               labels = date_format("%Y")) +
  ylab("% of GDP") + xlab("") +
  
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Gross saving, Gross investment

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  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, 21) & table == "T50100") |>
  ggplot() + theme_minimal() + ylab("% of GDP") + xlab("") +
  geom_line(aes(x = date, y = value, color = 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(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Corporate saving, government saving, personal saving

Annual

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  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, 4, 10) & table == "T50100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = 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(),
               labels = date_format("%Y")) +
  ylab("% of GDP") + xlab("") +
  
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Quarterly

Code 
T50100 |> filter(FREQ == "Q") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  bind_rows(T10105_Q |>
              mutate(table = "T10105")) |>
  quarter_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineNumber == 1 & table == "T10105"]) |>
  filter(LineNumber %in% c(9, 4, 10) & table == "T50100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.15)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1947-01-01")), 
            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("Net Saving (% of GDP)") + xlab("") +
  
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Undistributed profits, government saving, personal saving

Annual

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  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 == "T50100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = 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(),
               labels = date_format("%Y")) +
  ylab("% of GDP") + xlab("") +
  
  scale_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Quarterly

Code 
T50100 |> filter(FREQ == "Q") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  bind_rows(T10105_Q |>
              mutate(table = "T10105")) |>
  quarter_to_date() |>
  group_by(date) |>
  mutate(value = DataValue/DataValue[LineNumber == 1 & table == "T10105"]) |>
  filter(LineNumber %in% c(9, 5, 10) & table == "T50100") |>
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = value, color = LineDescription)) +
  theme(legend.title = element_blank(),
        legend.position = c(0.5, 0.15)) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1947-01-01")), 
            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_y_continuous(breaks = 0.01*seq(-100, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

Main Items - 1938, 1958, 1978, 1998, 2018

Percent of GDP

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  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, 2008, 2018)) |>
  group_by(year) |>
  mutate(value = round(100*DataValue/DataValue[LineNumber == 1 & table == "T10105"], 1)) |>
  filter(table == "T50100") |>
  ungroup() |>
  select(2, 3, 7, 8) |>
  spread(year, value) |>
  slice(c(1, 2, 13, 21, 28, 35, 42)) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

1938, 1958, 1978, 1998, 2018 Full Table

Percent of GDP

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  mutate(table = "T50100") |>
  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 == "T50100") |>
  ungroup() |>
  select(2, 3, 7, 8) |>
  spread(year, value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Billions

Code 
T50100 |> filter(FREQ == "A") |> select(-FREQ) |>
  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 .}