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demographic yearbook annuaire demographique 1951

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tions than do conventional central death rates such as<br />

those shown in table 17.<br />

Table 27 presents life table mortality rates. This rate<br />

represents the probability of dying during a given age<br />

interval, usually one year. It is the basic function of the<br />

life table and is commonly indicated by the symbol qx, the<br />

subscript referring to the age and values for specific ages<br />

being written q0 for "under 1", q1 for age 1 etc. The values<br />

shown in table 27 are expressed as 7,000 qx and represent the<br />

number dying per 1,000 persons reaching age x or the<br />

probability per 1,000 of dying within one year after reaching<br />

age x.<br />

The life table mortality rate differs from the central<br />

death rate in that it refers to persons reaching the given<br />

age during the course of a year rather than to persons of<br />

that age at the middle of the year. Thus the rates are<br />

similar in concept to the infant mortality rates shown in<br />

table 19. But the life table mortality rate for persons under<br />

1 year of age usually differs from the type of infant mortality<br />

rate shown in table 19 through being so adjusted<br />

that infant deaths are related to the cohort of births among<br />

which they occurred.<br />

The complete life table gives values for each single year<br />

of age. Most of the data presented in table 27 are of this<br />

type. An abridged life table gives values for grouped ages,<br />

usually 5-year age groups. Some of the data in table 27<br />

are of the latter type and are so noted. In these cases, the<br />

mortality rate is the probability of dying, not within one<br />

year after reaching the age indicated, but within 5 years<br />

of that age (or within the specified number of years).<br />

Details of procedure in life table construction vary somewhat,<br />

depending in large measure upon the availability<br />

and form of basic data. The values of qx are generally so<br />

derived as to correspond to the death rates of persons of<br />

that age in a particular period of time. The basic data<br />

ordinarily consist of (a) deaths in a given period classified<br />

by age and sex and (b) the mean population of each age<br />

and sex during that period. The most usual procedure is<br />

to utilize statistics of deaths in a three-year or five-year<br />

period centered at the census date so that the census figures<br />

can be taken as the mean population. Sometimes the period<br />

covered is that between two censuses and the population<br />

figures utilized are averages of the results of the two<br />

censuses. A correction for the effect of migration is occasionally<br />

made. In a few rare cases (for example, in India)<br />

approximate life tables have been computed without the<br />

use of data on deaths by deriving qx values from the comparison<br />

of the population in an age group as enumerated<br />

at one census with the survivors at the next census. It is<br />

common to make adjustments in order to correct for misstatements<br />

of age in the census and death registration data<br />

and in order to obtain successive values of qx which vary<br />

smoothly from one age to the next.<br />

Special problems arise in deriving qx values for the very<br />

young ages and for the end of life. For the young ages qx<br />

values are frequently obtained by using the statistics of<br />

births occurring in the last few years and estimating from<br />

them the number of persons at risk of dying in the period<br />

to which the life table relates. At the older ages data are<br />

frequently so scanty or unreliable that they have to be<br />

subjected to considerable manipulation if a reasonable<br />

series of qx values is to be derived from them. In many<br />

cases the life table qx values at the high ages do not depend<br />

in any wayan the registered deaths at those ages, but have<br />

been estimated on the basis of qx figures for younger ages.<br />

Table 28 gives Ix values from the same life tables as those<br />

shown in table 27. These figures were derived from the qx<br />

values and represent the number surviving to each age<br />

among 100,000 born alive and subjected thereafter to the<br />

mortality rates of the given life table. In other words, they<br />

are the probabilities, per 100,000, of surviving from birth<br />

to the exact age specified.<br />

Table 29 gives the "expectation of life" (ex) or the average<br />

number of years of life remaining for persons reaching<br />

the specified ages. These data are also based on the mortality<br />

rates of the life table and are to be interpreted strictly<br />

in terms of the underlying assumption that surviving cohorts<br />

are subjected to the age-specific mortality rates of the<br />

period to which the life table refers. Thus, in interpreting<br />

~:50 in the 1931-1941 life table for Switzerland, it may be<br />

said that, if males reaching age 50 were to experience for<br />

the rest of their lives the same age-specific mortality rates<br />

that obtained during the period 1931-1941, they would, on<br />

the average, live 21.3 years past the age of 50.<br />

The life table, though first developed for actuarial purposes,<br />

has many applications in the <strong>demographic</strong> field.<br />

Among these are: (1) the preparation of population projections<br />

by age and sex; (2) analysis of effects of mortality<br />

on the age and sex composition of a population; (3) comparisons<br />

of summarizing measures of mortality, as the life<br />

table death rate (the reciprocal of the expectation of life<br />

and birth), expectation of life at various ages etc.; (4) computation<br />

of net reproduction rates; and (5) the appraisal<br />

of the accuracy of census enumerations and vital registration<br />

data. In addition, life table techniques have been<br />

applied to the analysis of other types of <strong>demographic</strong> data,<br />

for example, in the computation of probabilities of marriage,<br />

specific for age and sex, on the basis of census data classified<br />

by marital status.<br />

The majority of life tables, and all those contained in<br />

this Yearbook, are based on qx values obtained from the<br />

deaths of persons of different ages occurring in the same<br />

period. Thus, they do not represent the actual mortality<br />

experience of anyone generation. Where the necessary<br />

statistics of population and deaths are available over long<br />

periods of time it is possible to calculate qx values representing<br />

the experience of a group or persons born in a<br />

specified period and traced throughout life. For example,<br />

a life table can be computed using for qo the infant mortality<br />

of 1880, for q1 a value derived from the deaths of<br />

infants aged one in 1881, for q2 a figure based on the deaths<br />

of children aged two in 1882 and so on. Such "generation"<br />

life tables may differ significantly from conventional tables<br />

in countries where mortality rates have been changing<br />

rapidly. However, not many such tables have been calculated<br />

and for most countries the required statistics are not<br />

available.<br />

The accuracy of life tables depends mainly upon the<br />

accuracy and completeness of the registration of deaths<br />

and of the enumeration of the population at the census.<br />

Deficiencies in death registration are likely to be greater<br />

than in census enumeration. Where this happens death<br />

rates are understated and the Ix and ex values are exaggerated.<br />

The mortality rates computed from population<br />

and death statistics at the very young ages are particularly<br />

likely to be understated, and such an error affects the Ix<br />

values throughout the table. As indicated earlier, infant<br />

mortality rates obtained by relating the number of infant<br />

deaths to the number of births in countries where registration<br />

is deficient may be either too low or too high, and the<br />

37

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