The Life Table
The life table has been a key tool of actuaries for some 200 years and is the basis
for calculating life expectancy.
Consider a large group, or "cohort", of U.S. males, for example, who were born on the same day.
If we could follow the cohort from birth until all members died, we could record the number of individuals
alive at each birthday  age x, say  and the number dying during the following year. The ratio of
these is the probability of dying at age x, usually denoted by q(x). It turns out that once the q(x)'s
are all known the life table is completely determined.
In practice such "cohort life tables" are rarely used, in part because individuals would have to
be followed for up to 100 years, and the resulting life table would reflect historical conditions
that may no longer apply. Instead, one generally works with a period, or current, life table. This
summarizes the mortality experience of persons of all ages in a short period, typically one year or
three years. More precisely, the death probabilities q(x) for every age x are computed for that
short period, often using census information gathered at regular intervals (every ten years in
the U.S.). These q(x)'s are then applied to a hypothetical cohort of 100,000 people over their life
span to produce a life table. An example from the National Center for Health Statistics (1997) is given below.
Table 1: Abbreviated decennial life table for U.S. Males.

x l(x) d(x) q(x) m(x) L(x) T(x) e(x)

0 100000 1039 0.01039 0.01044 99052 7182893 71.8
1 98961 77 0.00078 0.00078 98922 7083841 71.6
2 98883 53 0.00054 0.00054 98857 6984919 70.6
3 98830 41 0.00042 0.00042 98809 6886062 69.7
4 98789 34 0.00035 0.00035 98771 6787252 68.7
5 98754 30 0.00031 0.00031 98739 6688481 67.7
6 98723 27 0.00028 0.00028 98710 6589742 66.7
7 98696 25 0.00026 0.00026 98683 6491032 65.8
8 98670 22 0.00023 0.00023 98659 6392348 64.8
9 98647 19 0.00020 0.00020 98637 6293689 63.8
10 98628 16 0.00017 0.00017 98619 6195051 62.8
20 97855 151 0.00155 0.00155 97779 5211251 53.3
30 96166 197 0.00205 0.00205 96068 4240855 44.1
40 93762 295 0.00315 0.00316 93614 3290379 35.1
50 89867 566 0.00630 0.00632 89584 2370098 26.4
51 89301 615 0.00689 0.00691 88993 2280513 25.5
60 81381 1294 0.01591 0.01604 80733 1508080 18.5
70 64109 2312 0.03607 0.03674 62953 772498 12.0
75 51387 2822 0.05492 0.05649 49976 482656 9.4
76 48565 2886 0.05943 0.06127 47121 432679 8.9
80 36750 3044 0.08283 0.08646 35228 261838 7.1
90 9878 1823 0.18460 0.20408 8966 38380 3.9
100 528 177 0.33505 0.40804 439 1190 2.3

The columns of the table, from left to right, are:
x: age
l(x), "the survivorship function": the number of persons alive at age x. For example of
the original 100,000 U.S. males in the hypothetical cohort, l(50) = 89,867 (or 89.867%) live to age
50. These values are computed recursively from the m(x) values using the formula l(x+1) = l(x)*exp[m(x)],
with l(0), the "radix" of the table, arbitrarily set to 100,000. For example, l(2) = l(1)*exp[m(1)] =
98961*exp(0.00078) = 98883.
d(x): number of deaths in the interval (x,x+1) for persons alive at age x, computed as
d(x) = l(x)  l(x+1). For example, of the l(50)=89,867 persons alive at age 50, d(50) = l(50)l(51) =
89867  89301 = 566 died prior to age 51.
q(x): probability of dying at age x. Also known as the (agespecific) risk of death. Generally
these are derived using the formula q(x) = 1  exp[m(x)], under the assumption that the instantaneous
mortality rate, or force of mortality, remains constant throughout the age interval from x to x+1. By construction,
q(x) is also equal to d(x)/l(x). Thus, for example, q(50) = d(50)/l(50) = 566 / 89,867 = 0.00630.
m(x): the mortality rate at age x. Generally these quantities are estimated from the data,
and are the sole input to the life table. That is, all other quantities are determined once the m(x)'s are specified.
By construction, m(x) = d(x)/L(x), the number of deaths at age x divided by the number of personyears
at risk at age x. Note that the mortality rate, m(x), and the probability of death, q(x), are not identical.
For a one year interval they will be close in value, but m(x) will always be larger.
L(x): total number of personyears lived by the cohort from age x to x+1. This is
the sum of the years lived by the l(x+1) persons who survive the interval, and the d(x) persons
who die during the interval. The former contribute exactly 1 year each, while the latter contribute,
on average, approximately half a year, so that L(x) = l(x+1) + 0.5*d(x). This approximation assumes that
deaths occur, on average, half way in the age interval x to x+1. Such is satisfactory except at age 0
and the oldest age, where other approximations are often used; for details see the National Center
for Health Statistics (1997) or Schoen (1988).
T(x): total number of personyears lived by the cohort from age x until all members
of the cohort have died. This is the sum of numbers in the L(x) column from age x to the last
row in the table.
e(x): the (remaining) life expectancy of persons alive at age x, computed
as e(x) = T(x)/l(x). For example, at age 50, the life expectancy is e(50) = T(50)/l(50) =
2,370,099/89,867 = 26.4.
In the above life table, mortality rates for U.S. males at each age were determined
from census data for a short period (3 years). The rates applied to the hypothetical cohort of
100,000 U.S. males in the table throughout the lifetime of the cohort. All the other columns of
the life table are derived from m(x) as indicated above. See Schoen (1988), Anderson (2002), or
National Center for Health Statistics (1997) for details.
Notes
 Life expectancy is not the same as median survival time, the latter being the
time at which only 50% of a cohort are still alive. For example, of the 100,000 persons alive at
age 0, 51,387 are alive at age 75, and 48,565 are alive at age 76. The median survival time at
birth (age 0) is thus between 75 and 76 additional years (and can be shown to be 75.5), while
the life expectancy at birth is e(0) = 71.8 additional years.
 The calculation of life expectancy for a person should not be confused with predicting their
survival time. While newborn U.S. males have a life expectancy of 71.8 years, any given U.S. male
may die tomorrow or live to age 100. One need not predict actual survival times in order to compute
life expectancy (the average survival time).
References
Anderson RN (1999). United States life tables, 1997. National vital statistics reports; vol 47 no 28. Hyattsville, Maryland: National Center for Health Statistics.
Anderson TW (2002). Life expectancy in court: A textbook for doctors and lawyers. Vancouver BC: Teviot Press.
National Center For Health Statistics (1997). U.S. decennial life tables for 19891991, volume 1, number 1. Hyattsville, Maryland: Author.
Schoen R (1988). Modeling multigroup populations, chapter 1. New York: Plenum Press.
