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1957 - United Nations Statistics Division

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in those conditions than do conventional central death<br />

rates.<br />

Three principal functions are given in this Demographic<br />

Yearbook: (I) the probability of dying within<br />

one year or within a specified age interval for persons<br />

of exact ages specified (q a); (2) the survivors at the beginning<br />

of each age interval out of a generation of 100,000<br />

(1m); and (3) the mean expectation of life or the average<br />

future lifetime for persons at exact ages specified (em).<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 the life-table mortality<br />

rate (q x), which is the basic function of the life<br />

table, are generally so derived as to correspond to the<br />

death rates of persons of that age in a particular period<br />

of time. The basic data ordinarily consist of deaths in a<br />

given period classified by age and sex and the mean<br />

population of each age and sex during that period.<br />

The most usual procedure is to utilize statistics of<br />

deaths in a three-year or five-year period centred at the<br />

census date so that the census results can be taken as the<br />

mean population. Sometimes the period covered is that<br />

between two censuses, and the population figures utilized<br />

are averages of the results of the two censuses. It is common<br />

to make adjustments to correct for misstatements of<br />

age in the census and death statistics and in order to<br />

obtain successive values of qm which vary smoothly from<br />

one age to the next; a correction for the effect of migration<br />

is occasionally made. In a few rare cases (for example,<br />

in Brazil and India), approximate life tables have<br />

been computed without the use of data on deaths, by<br />

deriving qm values from the comparison of the population<br />

in each age group as enumerated at one census with the<br />

survivors at the next census.<br />

Though first developed for actuarial purposes, the life<br />

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

Among these are: (I) 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, such as<br />

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

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

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

appraisal of the accuracy of census enumerations and<br />

vital-registration data. In addition, life-table techniques<br />

have been applied to the analysis of other types of demographic<br />

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

of marriage, specific for age and sex, on the basis<br />

of census data classified by marital status.<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 corresponding defects in census enumeration. Where<br />

this happens, death rates are understated and the I" (survivors)<br />

and ex values are exaggerated. The mortality rates<br />

computed from population and death statistics at the very<br />

young ages are particularly likely to be understated, and<br />

such an error affects the Ix values throughout the table.<br />

As indicated earlier, infant mortality rates obtained by<br />

relating the number of infant deaths to the number of<br />

births in countries where registration is deficient may be<br />

either too low or too high, and the error in either direction<br />

may have an important effect on the I" values for<br />

41<br />

every age. The expectation of life at birth (eo) will also<br />

be too high or too low.<br />

The accuracy and the international comparability of<br />

life-table values are particularly suspect at the highest ages.<br />

Those values depend on imperfect data and frequently<br />

on somewhat arbitrary procedures. Certain remarkable<br />

features-for example, the fact that the expectation of<br />

life at ages over sixty is often distinctly higher in countries<br />

where mortality in general is heavy than in countrie3<br />

with low death rates-may, thus, merely reflect imperfections<br />

of the tables.<br />

Differences in the methods used for constructing life<br />

tables (adjustment of data, graduation, etc.) may affect<br />

the reliability of the results and impair their international<br />

comparability. The effect of such differences is, however,<br />

probably much smaller than that of deficiencies in censuses<br />

and in death registration.<br />

Table 24<br />

Table 24 gives the "expectation of life" (em) or the<br />

average number of years of life remaining for males and<br />

females reaching the ages specified.<br />

This table shows values from each life table-complete<br />

or abridged-beginning about 1900. Male and female<br />

expectations are shown separately for selected ages beginning<br />

at birth (age 0) and proceeding with age 1, 2, 5, 10,<br />

15, 20, 30, 40, 50, 60, 65, and 70 years. In some cases,<br />

values were available only for the ages ending in 5. These<br />

are given in the table preceded by a new run-in box-head.<br />

Data are shown to the number of digits provided in the<br />

official computation, thus producing a mixture of one<br />

and two decimal values.<br />

Coverage: Values are available in Table 24 for 76 geographic<br />

areas. Lack of reliable base data restricts the<br />

number of areas for which life tables are available but<br />

even so, the coverage has increased notably in the last<br />

few years. ''\There national data are not available, values<br />

for sub-national areas-such as cities or provinces-are<br />

shown. These sub-national values are presented in small<br />

type to distinguish them from national data.<br />

Limitations: Expectation-of-life values are subject to all the<br />

limitations set forth above in the discussion of the accuracy<br />

of the life table and, therefore, fundamentally to the<br />

limitations of population and mortality statistics in<br />

general. The values in Table 24 are to be interpreted<br />

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

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

rates of the period to which the life table refers. Thus,<br />

in interpreting e 50 in the 1945-1950 life table for N OTWay<br />

it may be said that, if males reaching age 50 were to experience<br />

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

mortality rates that obtained during the period 1945­<br />

1950, they would, on the average, live 26.4 years past the<br />

age of 50 or to 76.4 years of age.<br />

Table 25<br />

Life-table mortality rates 1900-1956 for males and<br />

females, that is, the probability of dying within one year<br />

or within a specified age interval for men and women<br />

who have reached the exact age specified in the box-head,<br />

are shown in Table 25. These are the basic functions of

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