Widowed Before 50: More Than 600,000 Americans Have Lost a Spouse Young (2024)
Seven in ten are women, most are still working, and nearly 200,000 are under 40. A loss we treat as something only the old endure, counted from Census microdata.
Key findings
- In 2024 1-Year, about 604,873 Americans aged 18 to 49 were widowed (±17,880), roughly 0.42% of adults under 50, or about 1 in 238.
- Early widowhood is overwhelmingly a woman's experience: 71.0% are women (429,525), versus 175,348 men.
- It reaches well into young adulthood: about 196,480 of them are under 40.
- Most are working: 70.4% of widowed adults under 50 are employed, getting by on a median personal income of $35,534.
- The rate climbs steeply with age, from 0.07% of people in their 20s to 0.95% of people in their late 40s.
This counts adults aged 18 to 49 whose marital status is widowed, using the 2024 1-Year American Community Survey Public Use Microdata Sample. Marital status is the Census recode (MAR); "widowed" means the person's spouse has died and they have not remarried. The universe is adults 18 to 49, so the rate is the share of young adults who are widowed. The headline count is weighted with the person weight (PWGTP) and carries a 90% margin of error from the 80 replicate weights. The sex split, the under-40 count, employment, median personal income, and the age-band rates are point estimates of the weighted distribution; income is in constant 2024 dollars (Census factor ADJINC).
Widowed adults under 50, 2024 1-Year
Early widowhood is overwhelmingly a woman’s experience
| Category | Widowed adults aged 18 to 49 |
|---|---|
| Women | 429,525 |
| Men | 175,348 |
Point estimates of the weighted distribution.
The rate climbs with age
| Category | Share widowed |
|---|---|
| 18 to 29 | 0.07% |
| 30 to 39 | 0.33% |
| 40 to 49 | 0.95% |
Point estimates. The share is small at every age under 50, but rises sharply across the bands.
Data Sources & Methodology
The figures on this page are computed directly from the source data below. Narrative text accompanies the figures but never generates them.
American Community Survey (ACS) Public Use Microdata Sample (PUMS)
- Publisher:
- U.S. Census Bureau
- Vintage:
- 2024 1-Year
- Access:
- BigQuery
- Cadence:
- annual
De-identified individual person and housing records from the American Community Survey, the Census Bureau’s largest household survey. The 1-year PUMS file lets analysts compute custom estimates for demographic, social, economic, and housing characteristics down to the Public Use Microdata Area (PUMA) level.
The ACS is a continuous survey that samples households throughout the year. The 2024 1-year PUMS file is a sample of de-identified person and housing records collected over calendar year 2024, representing the resident population of the United States.
Every record carries a sampling weight (PWGTP for persons, WGTP for housing units) that expands the sample to population and housing-unit totals. All statistics on this page are weighted estimates; any unweighted record counts are shown only to convey sample size.
Margins of error are computed from the 80 replicate weights supplied with the PUMS file using the Census Bureau’s successive-difference replication method, and are reported at the 90% confidence level unless stated otherwise.
Sub-state estimates use Public Use Microdata Areas (PUMAs), statistical areas of at least 100,000 residents. The 2020-vintage PUMA boundaries apply to 2022 and later ACS data.
- PUMS is a sample of roughly one percent of the population, so every estimate carries sampling error; small subgroups and small geographies have wider margins of error.
- Figures are survey estimates, not a complete count, and can differ from administrative records or the full ACS tabulations.
- Dollar amounts reflect the survey year and are not adjusted for inflation across vintages unless explicitly noted.
- PUMA boundaries are redrawn after each decennial census, which breaks strict geographic comparability across the boundary change.
How these figures were produced
- Estimate type:
- Weighted survey estimate (person level)
- Weighting:
- PWGTP (person weight)
- Confidence level:
- 90%
- Error estimation:
- Successive-difference replication over 80 replicate weights
Suggested citation
U.S. Census Bureau, 2024 1-Year American Community Survey Public Use Microdata Sample (PUMS). Analysis by Matt George, itsmattgeorge.com. Retrieved 2026-10-15.