Core tool
This calculator translates official U.S. period life table values into plain language. It is useful for perspective, retirement planning conversations, and understanding averages, but it should never be treated as a personal prediction.
Calculator
Enter your age and sex to look up remaining life expectancy from the SSA period life table. Birth date is optional and only improves the age calculation.
Your result
38.0years
That is the average remaining life expectancy for a 45.0-year-old female in the 2023 SSA period life table.
Estimated months
456
Estimated weeks
1,983
Estimated days
13,883
Biweekly paychecks
988
Birthdays
38
Seasons
152
Statistical table horizon
around October 2064
This date is a way to visualize the population average. It is not a personal forecast.
Life timeline
54% of the table-average span lived
Week grid snapshot
each mark is about 12 weeks
Tiny blocks make big numbers easier to feel without treating the estimate as fate.
Source: Social Security Administration Actuarial Life Table. Educational use only; not medical, legal, financial, or personal advice.
The estimate uses the 2023 Social Security Administration actuarial life table used in the 2026 Social Security Trustees Report. The table gives remaining life expectancy by exact age and sex for a hypothetical group experiencing that period's mortality rates.
Because the source table is split into male and female columns, the calculator asks for sex in the same simple structure. It does not ask about health history, income, family background, geography, or habits.
The main number is the average number of additional years someone your age and selected sex would live if the life table applied exactly. The weeks, months, seasons, and paychecks are translations of that same estimate.
The timeline is meant to make the average easier to understand. It is not a countdown, diagnosis, forecast, or promise.
No. It shows a statistical average from a public life table. Individual lives vary widely.
The official table reports different mortality patterns for male and female populations, so the lookup needs the same input.