Wealth - wealth

Data - Fred

Info

Last observation: 2026-01-01 (N = 8)

First observation: 1989-07-01 (N = 8)

Last data update: 16 aoû 2026, 19:54. Last compile: 17 aoû 2026, 22:56

variable

wealth |>
  left_join(variable,  by = "variable") |>
  group_by(variable, Variable) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Share of Total Net Worth

Bottom 50%, 50-99%, 90-99th, Top 1%

wealth |>
  filter(variable %in% c("WFRBSB50215", "WFRBSN09161", "WFRBSN40188", "WFRBST01134")) |>
  left_join(variable, by = "variable") |>
  mutate(Variable = gsub("Share of Total Net Worth Held by the ", "", Variable)) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Share of Total Net Worth Held by Group (%)") +
  geom_line(aes(x = date, y = value / 100, color = Variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.7, 0.4)) +
  scale_color_manual(values = viridis(5)[1:4]) +
  scale_x_date(breaks = as.Date(paste0(seq(1930, 2022, 2), "-01-01")),
               labels = date_format("%Y")) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1988-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_y_continuous(breaks = 0.01*seq(0, 50, 5),
                     labels = percent_format(acc = 1))

50-99%, 90-99th, Top 1%

wealth |>
  filter(variable %in% c("WFRBSN09161", "WFRBSN40188", "WFRBST01134")) |>
  left_join(variable, by = "variable") |>
  mutate(Variable = gsub("Share of Total Net Worth Held by the ", "", Variable)) |>
  ggplot() + theme_minimal() + xlab("") + ylab("Share of Total Net Worth Held by Group (%)") +
  geom_line(aes(x = date, y = value / 100, color = Variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.7, 0.13)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = as.Date(paste0(seq(1930, 2022, 2), "-01-01")),
               labels = date_format("%Y")) +
  geom_rect(data = nber_recessions |>
              filter(Peak > as.Date("1988-01-01")), 
            aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf), 
            fill = 'grey', alpha = 0.5) + 
  scale_y_continuous(breaks = 0.01*seq(0, 50, 2),
                     labels = percent_format(acc = 1))