UN World Population Prospects (2024)
Population-age structure and survivorship reference frames used for global and regional longevity baseline anchoring. Source: population.un.org/wpp
Tool entries describe their purpose, inputs, calculation and outputs. The detailed methods explain the newer data comparisons and scenario calculators.
Published population data describe groups. Survey scores and longevity scenarios use rules and assumptions. Neither supplies a clinical diagnosis or a verified forecast of an individual lifespan. Data dates refer to observations; the review date refers to this explanation.
Separate observations from model assumptions.
Compare health and financial horizons with explicit limits.
Test several scenarios before drawing conclusions.
LifeMeter combines public demographic baselines with user-provided health and capital inputs. The goal is directional planning support, not diagnosis or personalized financial advice.
Population-age structure and survivorship reference frames used for global and regional longevity baseline anchoring. Source: population.un.org/wpp
Country and regional life-expectancy context used to calibrate base lifespan tiers. Source: who.int/data/gho
Supplemental demographic and health-system indicators used in regional readiness normalization. Source: data.worldbank.org
Age, sex, optimization level, net worth, yield, and spending are transformed into comparable longevity and solvency horizons within a transparent rule-based pipeline.
Longevity Runway compares an illustrative age scenario with financial cash flows. The base scenario is a regional constant, plus a five-year female adjustment, multiplied by a user-selected factor. The optional extended LEV scenario adds 15 or 30 years by region. These coefficients are not validated individual lifespan estimates or a forecast of treatment availability.
Annual spending is divided by 12 and withdrawn at month end. The real annual return input must already allow for inflation, taxes and fees; it is converted to a compound monthly rate. Negative and zero returns are supported. Financial exhaustion is based on fully funded months. Both gap and timeline follow the selected scenario; no shortfall is shown when savings cover it.
Funding coverage is available capital divided by capital required for the selected window, capped at 100%. It is not a survival probability or an investment risk score. No-depletion scenarios show infinity; their timeline marker is positioned at age 150 or the extended scenario age, whichever is greater, for display only. Constant returns exclude volatility, sequence risk and changing expenses. Cash-flow equations and the user-selected planning horizon calculator are available.
Command Center guides users through the portfolio and does not calculate an independent health score.
Country Systems Atlas compares 145 countries and economies with complete coverage across eight World Development Indicators measures: GDP per person at purchasing-power parity, life expectancy, electricity access, urban population, transport infrastructure, logistics performance, manufacturing share and capital formation.
Each observation retains its year and indicator source. Bars scale one measure within the included comparison set. They cannot be compared across rows and do not constitute a composite development score or a global population rank. Investment and settlement shares are descriptive; larger values are not automatically better. The source snapshot and reuse register remain available inside the tool.
What America’s Life Expectancy Hides uses the 2024 federal period life tables, released in August 2026. Survival shares divide survivors at an age by the life-table starting cohort. Expected age at death equals current age plus the table’s average remaining years. Period tables hold that year’s mortality rates constant; they do not follow a real birth cohort or predict a particular adult’s lifespan.
Global Health Time Machine follows published World Bank observations from 1990 to 2024 across 217 countries and economies. GDP per person at purchasing-power parity sets the horizontal position; life expectancy or infant mortality sets the vertical position; population sets bubble area.
Missing country-years are omitted. Animated movement between yearly observations is a display transition, not an estimate of unobserved data. The source package retains API URLs, retrieval dates and response fingerprints. Life expectancy at birth describes current mortality conditions; GDP per person measures output, not household income. Concurrent trends do not establish causation.
US Health Services Spending versus Health Outcomes pairs 2025 BEA health-care services consumption per resident with measures derived from CDC’s 2025 BRFSS public-use survey. Consumption includes outpatient, hospital and nursing-home services consumed by or on behalf of residents; it is not a household bill or a complete health-expenditure measure.
Health estimates use CDC’s final survey weight and direct age adjustment to the 2000 U.S. standard adult population in six age bands. Approximate 95% intervals use Taylor linearization with published strata and sampling units. California, Mississippi and Nevada are absent from the matched 2025 survey file and are excluded.
A displayed frontier identifies jurisdictions with no other included jurisdiction lower on both spending and the selected burden. It is a descriptive comparison, not a health-system efficiency rating. Self-report, nonresponse and population differences limit interpretation; the feature does not test causal effects or pairwise significance.
California Health, County by County retains seven official age-adjusted mortality measures, confidence intervals and reliability flags from the California Department of Public Health’s Health Status Profile 2025. County rates cover 2021–2023; the profile’s population denominator is dated 2022. Boundaries come from U.S. Census TIGERweb.
The common age standard improves comparisons across all 58 counties. Three-year averages reduce instability, but small-area intervals can remain wide. CDPH flags relative standard errors of at least 23% as unreliable. Differences from the statewide point estimate do not by themselves establish statistical significance. The map describes geographic patterns and does not assign causes.
Wealth Horizon accepts a starting portfolio, annual contributions, a 5-to-50-year horizon, return, volatility, inflation, fees, estimated tax drag and contribution growth. Contributions enter monthly and increase once a year. The deterministic path compounds the assumed return after fees and tax drag; the real value divides the final balance by cumulative inflation.
The range uses 2,000 reproducible simulations of independent monthly lognormal returns with a fixed seed. Lower and higher results are the 10th and 90th percentiles. They are model outcomes under the selected assumptions; outcomes outside that range remain possible.
Presets are editable illustrations. The model imports no historical return forecast and excludes withdrawals, changing allocations, irregular cash flows and persistent market regimes. Tax drag is an annual return reduction, not an account-specific tax calculation. The tool retains compound-interest, inflation and fee references in its source section.
The Bridge Strategy, LEV Primer, Death Gap, Financial Planning and Biomarkers pages explain frameworks. Proposed longevity-intervention timing and LEV access remain speculative. The evidence library summarizes research and retains study-specific populations and limitations.
The Calibrate, Survive and Analyze entries describe rule-based tools. Their scores have not been established here as externally validated clinical prediction models. Check the particular tool’s inputs, local explanations and sources. Subscriber access changes availability; it does not change evidentiary strength.
Methodology descriptions are explanatory and non-prescriptive. Outputs are planning signals, not diagnoses or individualized advice.
Reviewed October 3, 2026. These tools no longer derive personal survival endpoints from biological-age multipliers or simulated safety percentages. Financial tools use consistent monthly cash flows, including negative real returns. Country comparisons show dated World Bank indicators without a composite gap score.
The health tools show measurements and changes, with no biological-age conversion. Activity domain scores measure guideline-target coverage rather than predicted health. Biomarker categories are conditional on screening context, fasting status and the selected HDL reference group. CDC chair-stand references are restricted to ages 60–94 and the documented protocol. Wearable comparisons use personal records without universal readiness thresholds.
Each tool provides its sources and applicability limits. No validated biological-age model has been installed because these inputs do not establish a compatible model and population.