Seedlabs

LongevityLens: Demographic Survival Curves for Retirement Planning

A tool for retirement planners to see how long people of different ethnicities are likely to live.

A planning-tool module that gives advisors and consumers survival curves by sex, race, and Hispanic origin — e.g., the odds a 65-year-old Hispanic woman reaches 90 — so retirement drawdown and longevity-insurance decisions reflect the client's demographic longevity instead of a single national average.

Social SciencesInsurance, Mortality, Demography, Risk Management
Attention Deficit Hyperactivity DisorderRetail financial advice — retirement income and drawdown planning

Concept

A software module and API for advisor platforms and consumer planning tools that replaces the single 'average life expectancy' input with a demographic survival curve: the user enters age, sex, race, and Hispanic origin, and the tool returns expected remaining years, survival probabilities to ages 80/85/90/95, and a recommended planning horizon (e.g., the 25th–90th percentile of longevity) drawn from official U.S. period life tables. Advisors use the output to set withdrawal rates, time annuitization and Social Security claiming, size longevity insurance, and — for couples — plan the widowhood horizon, since the tables show women outliving men by roughly 4.9 years (80.9 vs 76.0 at birth in 2009). Existing longevity illustrators use age, sex, and smoking status but not race or ethnicity, even though the official tables show a 7-year spread across groups (non-Hispanic black 74.2 to Hispanic 81.2 at birth).

Why now

The official life tables provide exactly the stratification a planning tool needs — complete period tables by sex, race, and Hispanic origin — with 2009 figures showing material differences: 81.2 years at birth for the Hispanic population, 78.7 non-Hispanic white, 74.2 non-Hispanic black, and 80.9 female versus 76.0 male, against a national average of 78.5. National life expectancy has since reached 79.0 in 2024 [1], so the module anchors group differentials to a current base. Planning platforms compete on personalization, and demographic longevity is a defensible, data-backed personalization axis that today's tools ignore.

Written by GLM · 14 Oct 2026

AI assessment

Backed by 2 papers82

A straightforward API-driven tool that translates public mortality data into a personalized planning feature for financial advisors, though it faces significant novelty challenges due to existing mortality basis products.

Evidence strength
5/5
The idea is directly supported by the provided US Life Tables and mortality reports, which contain the exact demographic stratifications (sex, race, Hispanic origin) required for the tool.
Market pull
4/5
Financial advisors and planning platforms (e.g., eMoney, Vanguard) have a strong incentive to offer 'hyper-personalized' planning to differentiate their services.
Novelty & moat
2/5
The idea is a direct application of the data used in 'ParadoxBasis' and 'Annuity Mortality Basis Refresh Feed,' shifting the user from the insurer to the advisor but using the same underlying mechanism.
Feasibility
5/5
Building an API that queries static life tables and returns survival probabilities is a low-complexity software task that could be prototyped in weeks.
Wedge clarity
4/5
The specific focus on replacing 'average life expectancy' with demographic survival curves in retirement drawdown planning is a sharp, actionable entry point.
Simplicity / focus
5/5
The product is a single-purpose module/API with a clear input and output, avoiding the 'platform' trap.

Scored by Gemma 4 · 14 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • Society of Actuariesorganization

    The SOA operates the Longevity Illustrator (with AARP) used for retirement planning; adding the race/Hispanic-origin stratification available in official life tables extends its tool with a data-backed personalization axis it currently lacks.

  • AARPorganization

    AARP's tens of millions of members plan retirement with generic life expectancies; group-specific horizons (e.g., Hispanic 81.2 vs non-Hispanic black 74.2 years at birth) sharpen its retirement-readiness guidance and tools.

  • Vanguardcompany

    Vanguard's Personal Advisor Services sets drawdown and annuitization advice for millions of households; demographic survival curves let advisors tailor withdrawal rates and claiming age to each client's actual longevity distribution.

  • eMoney Advisorcompany

    eMoney supplies planning software to tens of thousands of advisors; a demographic-longevity module built on official life tables differentiates its retirement plans from competitors that use a single average life expectancy.

Research it builds on

  1. Mortality in the United States, 2024
    Jiaquan Xu, Sherry L Murphy, Kenneth D. Kochanek et al. · 2026 · 462 citations
    All ideas from this paper →
  2. United States Life Tables, 2024
    Elizabeth Arias, Jiaquan Xu, Betzaida Tejada-Vera · 2026 · 65 citations
    All ideas from this paper →
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feasibility