What we found
Great wealth goes with a longer life, and the gap is widest in middle age.
The average member is on course to die at . The life tables gave a person of the same age, sex and birth year until .
By the end of 2025 the life tables predicted deaths among the traced members. We found .
Among members born before 1926, reached the age of 100. The life tables predicted about .
Survival
After joining the list, members died far more slowly than the tables predicted.
The solid line shows the share of members still alive in each year after they first appeared on the list. The dashed line shows the share that the official life tables predict for people of the same sex, age and birth year. The gap opens in the first years and stays open for four decades.
Share of Forbes 400 members still alive
By years since first appearing on the list. The shaded band is the 95% confidence interval.
The class of 1982
Watch the first Forbes 400 age, year by year.
Each dot is one traced member of the first list, published in 1982. Move the slider to step through the years. A dot empties when that person dies. Gold dots mark people who were still alive although the life tables expected that many deaths by then.
Members of the 1982 list, alive and dead
Dots are ordered by date of death, so the empty area grows from the top left.
By age
The advantage is largest before 75 and fades by 95.
A mortality ratio of 1.0 means members died at the same rate as other Americans of their age, sex and birth year. A ratio of 0.5 means half the rate. Between 55 and 64, members died at roughly a fifth of the expected rate. Past 95 the difference is gone.
Deaths among members as a ratio of deaths predicted
By age attained. Bars show 95% confidence intervals. The scale is logarithmic.
Every life
lives, from the first listing to the end.
Each line is one person. It starts at the age of the first appearance on the list and ends at death, or at the end of 2025 for the living. Lines are sorted by where they end, so the right edge traces how long members lasted.
Age at first listing and age at death
Move the pointer over the chart to read a single life.
Ages at death
For the oldest members the comparison needs no forecast.
Members born before 1926 would all be 100 or older today, so their story is almost complete: of the have died. They died at on average. The life tables gave them until from the day they joined the list. of them reached 90, against predicted.
Deaths by age, members born before 1926
Columns are observed deaths. The line is the number the life tables predicted for the same people.
Who gains most
Men gained more than women, and the young more than the old.
The grey dot is the average age at death the life tables predicted on the day of first listing. The green dot is our estimate for members. People who joined the list before 50 gained the most years. Women on the list also outlived the tables, but by less than men.
Predicted and estimated average age at death
By group. The label gives the years gained with a 95% interval.
Longest lives
Oldest members still living at the end of 2025
Limits
What the headline does and does not show.
Not everyone could be traced
We established a birth date for of the people. The other are mostly heirs and short-lived entries with no Wikidata or Wikipedia record. They ranked lower (median best rank against ) and stayed on the list for fewer years ( against ). Their lives are not in the headline.
Wealth is not shown to be the cause
The comparison is with all Americans. Members differ from the average American in education, occupation, race and access to care. People must also be alive and active to be listed. Leaving out the first five years after listing gives a mortality ratio of , against with them, so this selection explains little.
The living are counted from Wikipedia
A member with no recorded death is treated as alive when Wikipedia lists the person as living. A death that Wikipedia has missed would make members look longer-lived than they are. Hand-searched obituaries work the other way, because the dead are easier to find than the living.
Part of the gain is a forecast
traced members were still alive at the end of 2025. Their remaining years are projected from the mortality ratios seen so far and from the Social Security forecast. The members born before 1926 need almost no forecast and show a gain of years.
Method
How the numbers were made.
The lists. Names, ranks and net worth come from the Forbes 400 panel in the replication files of Gomez (2023), "Decomposing the Growth of Top Wealth Shares", Econometrica. The panel holds 400 people a year. different people appear between 1982 and 2000.
Births and deaths. Every name was searched in Wikidata and English Wikipedia. Each proposed match was then read and accepted or rejected by hand. people were matched this way. For people with no entry, obituaries, archives and reference databases were searched, which settled more. remain unresolved. The panel records who left the list through death, which gave an independent check on death dates.
Life tables. Death probabilities by single year of age, sex and calendar year come from the Office of the Chief Actuary of the Social Security Administration (2024 Trustees Report, historical values to 2021 and intermediate projections after). Following one birth year along the calendar gives the cohort life table for a person of that age and birth year.
Follow-up. Each person is followed from 1 October of the first year on the list to death or to 31 December 2025. people with a known birth date but no later trace are followed only to their last year on the list.
Statistics. The mortality ratio is observed deaths divided by the deaths expected from the life tables. Survival curves are Kaplan-Meier estimates, and the expected curve is the Hakulinen estimate. The years gained are the difference between two averages of remaining life at first listing. One uses each member's life table. The other multiplies that table by the mortality ratio seen at each age (under 55, 55 to 64, 65 to 74, 75 to 84, 85 to 94, 95 and over).
The mortality ratio under other assumptions
A ratio below 1.0 means fewer deaths than the life tables predict.
Files. The dataset is in forbes400_longevity.csv, the survival curves in survival_curves.csv and all results in analysis.json. The code is in the src folder of the project repository and the steps are listed in README.md.
Data
Look up any member.
| Name | Born | Died | Age | First listed | Years listed | Best rank | Status | Source |
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