ScholarGate
Assistant
Process / pipelineLife-table summary measures

Keyfitz Entropy

Keyfitz's entropy, usually written H, is a dimensionless summary of a life table that measures how sensitive life expectancy is to a proportional change in mortality, and equivalently how unequal the distribution of ages at death is. Introduced by Nathan Keyfitz, it is the elasticity of life expectancy at birth with respect to the force of mortality: an H near one means deaths are spread across all ages so that reducing mortality everywhere lengthens life proportionally, while an H near zero means deaths are concentrated near the maximum lifespan so further mortality reductions yield little gain. It bridges the demography of survival and the broader study of lifespan inequality.

Open in MethodMindSoonApply, compare, get guidance
Tools & resources
Download slides
Learn & explore
VideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Method map

The neighbourhood of related methods — select a node to explore.

Sources

  1. Keyfitz, N. (1977). Applied Mathematical Demography. John Wiley & Sons, New York. ISBN: 9780471473503
  2. Demetrius, L. (1979). Relations between demographic parameters. Demography, 16(2), 329–338. DOI: 10.2307/2061146

How to cite this page

ScholarGate. (2026, June 22). Keyfitz's Life-Table Entropy (H). ScholarGate. https://scholargate.app/en/demography/keyfitz-entropy

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Referenced by

ScholarGateKeyfitz Entropy (Keyfitz's Life-Table Entropy (H)). Retrieved 2026-06-24 from https://scholargate.app/en/demography/keyfitz-entropy · Dataset: https://doi.org/10.5281/zenodo.20539026