Relationship Age-Gap Evidence Atlas | Empirical Marital & Actuarial Demographics

Scenario Controls

Partner 1 Age (Female): 32y

Partner 2 Age (Male): 37y

Marriage Duration Horizon: 8 yrs

Demographic Empirical Presets

Empirical Sources: Drefahl (2010) Demography cohort mortality studies; Wang et al. longitudinal marital satisfaction models; Census & NSFG survival data. Estimates reflect statistical distributions, not individual destiny.

Divorce Hazard Ratio

1.18x

vs Peer Baseline Parity (1.00x)

Projected Joint Survival

44.2 yrs

Both partners alive horizon

Male Mortality Shift

-5.4%

Drefahl spousal age buffer

Female Mortality Shift

-2.1%

Drefahl spousal age buffer

A 5-year male-older age gap reflects a standard demographic cohort with modest divorce elevation relative to exact peer matches (+18%), strong initial satisfaction with convergence toward peer baselines at year 6-10, and favorable actuarial mortality buffering for the older male partner.

Exportable Evidence Dossier

Assumed demographic formulas and their limits

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The saved function defines signed gap as male partner age minus female partner age. A positive five year gap adds five times point zero three six to one, giving one point one eight. Negative five uses absolute gap times point zero four eight, giving one point two four. Bars use three hundred pixels per hazard ratio. These source coefficients and cited research descriptions have not been verified in this offline draft. They are not an individual prediction, diagnosis or relationship recommendation. For the saved default ages thirty two and thirty seven, female remaining baseline is eighty one point five minus thirty two, or forty nine point five. Male remaining baseline is seventy six point five minus thirty seven, or thirty nine point five. The source takes the smaller remainder and multiplies by one point zero four for positive gap, giving forty one point zero eight, rounded forty one point one. Bars use nine pixels per year. This simple formula is not an independently fitted joint survival distribution or validated actuarial forecast. The demographic function receives marriage duration but never uses that parameter in its returned hazard, joint years, mortality modifiers or decay category. Therefore duration eight and twenty leave the same default hazard one point one eight; bars use three hundred pixels per ratio. The chart may represent a relationship time axis separately, and exports include duration, but that does not make duration a predictor in this core function. Mortality modifiers are additional signed linear assumptions capped at source thresholds. They are not observed changes to any person health risk.