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Characteristic of health index

Last update date March 5, 2019

It is necessary to understand the characteristic (good point, bad point) to choose the most suitable health index.
Here, we want to give characteristic about representative health index.

The rough death rate

Value that fell below a certain local death toll with the local population. We are often shown by a population of 100,000 unit.

  • Good point: It is easily demanded.
  • Bad point: We are not suitable for comparison between different areas of age structure.
  • Necessary statistical data: The death toll, population

The age adjustment death rate

The death rate that coordinated age structure as being able to compare the death situation between different areas of age structure. We break the number of the death to calculate with "1985 model population" and demand from the local "death rate according to age-grade" and "1985 model population" (unisex).

  • Good point: Between different areas of age structure can compare.
    We can see secular variation.
  • Bad point: We need small data (the number of the death and population according to sex age-grade of every area).
    When there are few population, number of the death, it is easy to be affected by accidental error.
  • Necessary statistical data: The death toll according to sex age-grade, population according to sei, age-grade, 1985 model population

Standardized death rate (SMR)

Index that coordinated age structure as being able to compare the death situation between different areas of age structure. We calculate "expectation death number" and take the ratio with "the number of the death that was actually observed" in the area and demand from "the death rate according to age-grade of standard group" and "the local population".

  • Good point: Between different areas of age structure can compare.
    Small data are not necessary (they should know the number of the local total death).
  • Bad point: We are not suitable to see secular variation.
    (because information of standard group varies according to time to seek SMR)
  • Necessary statistical data: The death toll according to sex age-grade, the death rate according to sex age-grade of standard group

The potential remaining days loss number of years (PYLL)

Value that let you add the number of years that was young, and there was dead person from standard age (uses 65 years old and average life expectancy) until standard age for another several years, or lost only to number of the dead. Because influence of population is excluded, we may evaluate value (PYLL rate) that we further divided by population.

  • Good point: We can see loss to society of young age group dying.
  • Bad point: We are not suitable for comparison between different areas of age structure.
  • Necessary statistical data: The death toll according to sex age-grade, population according to sei, age-grade

Average life span

Index that we showed whether we supposed that the death rate during a certain period would continue in future, and people in each age-grade could live for another several years. We can obtain from life table.

  • Good point: We can compare between different areas of age structure.
    Because we gathered the death situation of all age in 0-year-old average life span (average life expectancy),
    We can use for general index of the health medical care welfare.
  • Bad point: When we use the death rate at time when is remarkably different from usual in the death toll by disasters,
    We may not reflect the real situation.
    Calculation is troublesome.
  • Necessary statistical data: The death toll according to sex age-grade, population according to sei, age-grade, existing life table

The future population by estimate

Index that we supposed we supposed that it was the same as the current situation, and population change by birth and the death changed, and how future population and the age structure changed. Method to seek has "the co-Hort rate of change method" and "co-Hort factor law".

  • Good point: We can predict change of population with age.
  • Bad point: When population changes remarkably, disasters are not available.
    In the case of the co-Hort factor method, calculation is troublesome.

The rough birth rate (the normal birth rate)

Value that broke number born in a certain area with the local population. We are often shown by a population of 1,000 unit.

  • Good point: We can see secular variation.
    In combination with the rough death rate, we can seek natural population growth.
  • Bad point: We do not consider influence of sex, age.
  • Necessary statistical data: The number of the birth, population

Average number of births per woman

Value that let you supposed that the birth rate of a certain period just continued and demanded the birth rate of 15-49-year-old woman according to age-grades and add. We show average of the number of children whom one woman has for life.

  • Good point: We can see secular variation.
    We can suppose the increase and decrease of population due to birth between areas with different age structures.
  • Bad point: When lifestyles (time to have child) are different every generation,
    We may not reflect the real situation.
  • Necessary statistical data: The number of the birth according to age-grade of mother, population according to sei, age-grade

Inquiry to this page

Health and Social Welfare Bureau institute for health infectious disease, epidemiology Information Systems Section

Telephone: 045-370-9237

Telephone: 045-370-9237

Fax: 045-370-8462

E-Mail address [email protected]

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