Retirement risk pillar

Longevity risk

Longevity risk asks: if you or your household live longer than planned, does your spending runway keep up? It blends life expectancy, retirement timing, household structure, and health context. We keep it data-backed and location-aware, without advice or sales pressure.

What drives this risk

We focus on directional, data-backed signals. No advice, no guarantees. The goal is to surface where this pillar can derail a plan so you can adjust with clarity.

Life expectancy vs savings runway

SSA life tables by age and sex paired with spending glidepaths to estimate how long assets need to last.

Retirement age and timing

Earlier retirement widens the horizon and increases the years exposed to market shocks and inflation.

Household composition

Single vs partnered households and survivor benefits change cash flow needs and risk tolerance.

Spending glidepath

Front-loaded lifestyle or debt paydown can elevate early-sequence risk, especially in the first 5–10 years.

Health and LTC probability

Health self-assessment influences expected horizon and potential long-term care exposure later in life.

Data sources we use

  • SSA Period Life Tables (life expectancy by age and sex)
  • CMS cost data for Medicare coverage patterns and timing gaps
  • BLS CPI and regional inflation for real spending adjustments
  • State-level policy and tax rules affecting retirement income
  • Housing/insurance trend data for location-driven cost shocks
Directional, not predictive. No individualized advice. Public, defensible data only.

How it shows up in your score

Longer horizon

Earlier retirement or excellent health means your money must last longer. Your score reflects whether your horizon is stretching your plan.

Household + survivor needs

Partnered households have to plan for survivor benefits, housing, and potential LTC for each person—your score captures that dual horizon.

Spending shape

Front-loaded spending, debt payoff, or relocation plans can strain the first decade. If that pattern is risky, your score ticks up.

Location-aware context

State and city factors—tax rules, healthcare costs, housing/insurance trends—change how far your assets stretch. Location pressure raises this pillar’s score.

What you can do here

  • Run the assessment to see your preliminary longevity sub-score.
  • Compare states to understand how location shifts healthcare, tax, and housing drag.
  • Explore scenario pivots (retire earlier/later, change location) as we roll them out.

Educational only. No advice or sales—any future referrals remain opt-in.

Explainer

Why longevity risk matters to your plan

Data-backed

If you outlive your current plan, every other risk gets harder. A longer horizon amplifies sequence risk, inflation drag, healthcare/LTC costs, and housing/tax exposure.

Your estimate blends SSA life tables with county-level deltas so your horizon reflects where you live, not just national averages. Longer horizons tighten the margin for error on early drawdowns and spending glidepaths.

Signals we consider

  • Your horizon uses SSA life tables + county deltas to estimate remaining years by age/sex.
  • If your horizon is 30+ years, early-sequence losses hurt more.
  • State/county differences in longevity and costs shift your withdrawal needs.

FAQs

  • How is my longevity adjusted by location?Your estimate starts with SSA life tables and applies state/county deltas from County Health Rankings to capture local longevity differences.
  • Does a longer horizon always raise my risk?Not automatically. A longer horizon increases exposure to sequence, inflation, and healthcare shocks, but buffers and flexible spending can offset it.
Data freshness: SSA period life tables (2022) plus County Health Rankings (2024) longevity deltas. State/county refreshes cascade to scores when new releases publish.