DEMOGRAPHY : Vital Statistics, Mortality (Death) Rates ; CDR,SDR, ASDR, STDR; Fertility (Birth) Rates and Groth Rates (GRR & NRR).
Elements of demography ©
Life
is a three pages book, two are already written by God.
The
first is birth, last is death, the middle page is empty.
Fill
it with smile, love, faith and honey.
introduction:
Demography means
population studies. In demography, we study the events related to human life.
Events related to human life such as birth, death, sickness, marriage, divorce,
migration etc. are called vital events.
Vital statistics is a study of vital events. Vital statistics give numerical
summary regarding vital events. It is necessary to study the methods of
population projection to estimate average life expectancy, sex ratio,
dependency ratio, population density, infant mortality rate and percentage of
literacy etc.
In this chapter, we study statistical
methods of measuring birth rates, death rates, population growth rates.
3.1 Methods of Obtaining Vital
Statistics
The raw data of the vital statistics
are generally obtained from the following sources.
1) Census
Method:
Population censuses are undertaken
in almost all countries, generally at 10 years of interval. A Census may be
defined as an enumeration at a specified area during which particulars are
collected regarding age, sex and some social and economic characteristics
(vital events) of the individuals.
2) Vital
Statistics Registers
In many countries, there is a
system of registering the occurrence of every important vital event, under
legal requirement. For instance, while a child
is born, the matter has to be reported to the proper authorities, together with
such information as the sex of child, age of mother, religion of parents etc.
Similarly every death occurring in the
community gets automatically recorded, because disposal of the body requires a
death certificate from the authorities.
3) Data of vital events may also be
obtained from hospital records.
4) Sample
Surveys:
Sometimes special sample surveys are conducted to get the
information which is not available in census or by registration of the vital
events.
Remarks:
The vital
statistics collected by using above method is not enough. For example,
population for intercensal year is not available. Statistical methods are used
to estimate these figures.
Population
Measurement:
In order to determine population
foe at time say t, we may use number of procedures. A very common method is to
make use of birth & death statistics as well as migration statistics.
The population Pt ,at time t is given by,
Pt = P0 +
(B – D) + (I – E)
Where, P0:
Total population at last census.
B: Total births during last census to period
time ‘t’.
D: Total deaths during last census to period
time ‘t’.
I: Total immigrants during last
census to period time ‘t’.
E: Total emigrants during last census to period time ‘t’.
3.2 Rates of Vital Events:
The raw data of
vital statistics are given in the form of frequencies of vital events. For
example,
n1 babies are born, n2 persons are died, n3 couples get married during a
period ‘t’ in any community or region. To study vital events, mainly the rates
of vital events are used.
The general definition of rate is,
Where, k is constant. The ratio in the above relation is
usually very smaller in magnitude, hence for convenience it is multiplied by, K=1000.
Note: The number of persons exposed to
the risk of a vital event is usually the population of given area, during the
given period. This population Pt
is does not remains same throughout. So one may use the population in
the middle of the periods ‘t1’ and ‘t2’, which is mean population and denoted by P.
Thus, mean
population = ( Pt1 + Pt2)
/ 2
3. 3 Mortality Rates or Death rates:
We discuss below different mortality rates or death rates.
1. Crude Death Rate (CDR)
This
is the simplest death rate used to measure mortality, which is defined as, the
number of deaths (from all causes) per K persons in the population of any given
region or community during a given period. Thus,
m = C.D.R. = (D/P) * K Where, K =1000
D
= no. of deaths in the population of any given region during a given period.
P
= total population of any given region during the same period.
If
period is of one year, then C.D.R. is called as ‘annual C.D.R.’
Also,
we may define C.D.R. for males,
C.D.R.
for males = mm = (mD/mP)* K
mD = no. of male deaths in a given
population during a given period.
mP = total male population during a given period.
Similarly C.D.R. for females,
C.D.R. for females = fm = (fD/fP)* K
fD = no. of female deaths in a given population during a given period.
fP = total female population during a given period.
Merits and Demerits:
Merits:
CDR is easy to understand and easy to compute. It is perhaps the most widely
used vital statistical rate. As an
index of mortality it is used in public health problems.
Demerits: It’s serious drawback is that, it completely ignores
the age & sex distribution of the population. These are the
important factors which influence the mortality of the population. So CDR cannot
be used for comparison of mortality of two populations which widely differs in age or sex distribution.
Note:
i. CDR usually lies
between 3 and 23 per thousand.
ii.
Since population varies over time, denominator in C.D.R. considered as mid-year
population.
2. Specific Death Rate (S.D.R.)
The
death rate computed for a specific segment of a population is called specific
death rate. Various segments may be Age, Sex and Occupation etc. Thus specific
death rate is given by;
Usually, S.D.R. are made
specific with respect to age & sex.
3. Age Specific Death Rate (A.S.D.R.)
The death rate computed for a specific age group of the population is called age specific death rate. The age specific death rate for the ith age group is denoted by Mi & is defined as:
Merits and Demerits:
SDR is the best measure of
mortality. It is very much useful in the construction of life tables, fixing
LIC premium etc. But they cannot be used for comparison of mortality of two
populations directly.
The nature of Age SDR is as shown below,
Infant Mortality Rate (IMR):
Generally
IMR is high. It varies from country to country. It is small in developed
countries. It shows the social and economic development of the country.
Note: Age S.D.R. of babies before
completing their first year.
Age-SDR is useful for the age group wise comparison of
mortality of two populations or years. However, population contains several age
groups. It is likely to happen that for one population SDR is higher in some
age groups than that of other but it is smaller for some other age groups. In
this situation to overcome this difficulty for comparison purposes, we need a
unique representative value of all SDRs. This can be done very well
by taking weighted average of SDRs. For comparison of death rates of
two populations we consider the same set of weights to compute average SDR. A
third population is taken as a standard population and age-group wise
population is taken as weights to find average of SDR. Therefore, the average
obtained by this manner is called as a Standardized Death Rate (STDR). There
are two methods of obtaining STDR which we discuss below;
a) Direct Method of
Standardization:
If
PiS is a standard population of ith age group
then under this method STDR for population A and B are given as fallows;
For
simplicity we denote age specific death rates of ith age group of
population A by Ai and that of population B by Bi
therefore;
Note: i. STDR for standard population is CDR.
Proof :
Thus, CDR can be computed from Age SDR and age wise population
ii.
Sometimes one of the two populations A or B is taken as standard population.
iii.
Choice of standard population is a difficult task.
For
computation of STDR of state, we can take population of country to be standard
population. Similarly population of the same state in earlier census may be
taken as standard population.
Drawback of Direct Method: If age SDR Ai’s are unknown
then we cannot compute STDR by direct method. In this situation indirect method
can be used.
b) Indirect Method of
Standardization:
Suppose, Ai: age SDR
of ith age group of population A.
Si:
age SDR of ith age group of standard population.
PiS:
Standard population of ith age group.
PiA:
Population of ith age group of locality A.
Clearly,
PA = Σ PiA and PS = Σ PiS.
We choose standard population for which Si is known (or can be computed) i.e. number of deaths in each age group is available. In direct method of finding STDR we consider C, such that,
STDR = C × CDR. The
factor ‘C’ is called as adjustment factor. It comes out to be,
It is given by the following formula,
3.4
Fertility Rates:
1. Crude Birth Rate (CBR):
It is the simplest measure of fertility rate or birth rate. It is defined as similar to CDR. It is given by,
Merits: It is easy to understand and easy to compute.
Demerits:
i. CBR provides very approximate fertility rate.
ii. It ignores age and sex
distribution.
iii. In this case entire population is considered and only a part of it (women in the child bearing age group) is exposed to the chance of reproduction. It is a serious drawback of the method.
Hence, CBR underestimates
fertility rate.
Note: CBR generally lies between 10
to 55 per 1000 persons. In order to overcome the drawback in CBR, general
fertility rate and age specific fertility rates are used.
2. General Fertility Rate (GRR):
In this rate live births to the females in the reproductive age group are
considered. It is defined as ,
In general, reproductive age group is considered to be 15 to 49 years. It is called as child bearing period. GFR for India is 95.3 and for 2011 the CDR is 7.2 and CBR is 20.6. GFR is superior to CBR, but it does not take into account the fact that the fertility differs from age group to age group. Therefore, Age-Specific Fertility Rate (ASFR) is necessary.
3. Age-Specific Fertility Rate (ASFR):
Age-Specific
Fertility Rate is given by,
Where, Bi
= Number of births to the females in the ith age group.
Pif
= Female population in the ith age group.
Note: i. If we take age group as a
single year then it is called annual ASFR.
ii. Age-SFR removes the drawback present in GFR but for comparison purpose we require a single value.
A more suitable and useful method to combine the age-SFR to a single
value, is a total fertility rate is discussed below.
4. Total Fertility Rate (TFR):
Age SFR is not useful for comparison, since for comparison we require a single value. A more suitable and useful method to combine the age-SFR to a single value is a total fertility rate. In order to find the total fertility rate we need to add up ASFR. It gives the average number of children born to 1000 women in the entire reproductive age period.
If C is the width of an age group, then ASFR is the average fertility rate for the corresponding c years.
Thus the total fertility for the corresponding group is C × ASFR.
Hence, TFR for all reproductive age groups taken together is given by the formula;
TFR = Σ C × ASFR = C Σ ASFR.
Note: i. C is taken to be constant.
ii. If annual ASFR are available (i.e.
C = 1) then TFR = Σ ASFR.
Interpretation:
TFR gives the total number of
children born to per 1000 women in the entire reproductive age period. Thus, T.F.R. = 2200 means, on an average 1000 females give 2200 births over their entire reproductive age period i.e. every women gives birth to 2.2 children in her entire
Limitations of TFR:
i. In computing TFR we assume
that all the women will survive up to the end of the reproductive age period,
which is not true in general.
ii. We consider entire female
population in the reproductive age period. Actually in computing GFR, as well
as ASFR we have to consider only the married female population.
iii. TFR (GFR,ASFR) does not consider effect of
infertility.
Uses of Vital Statistics:
i. The documents and records regarding birth, death, marriage etc.
have legal importance. Individual requires concerned certificates from time to
time during his life.
ii. They are very useful for
government agencies to forecast population, make provision for future, to
control the death rates, to reduce infant mortality rates, to control
infectious diseases, to conduct family planning and welfare activities, to
prepare program for public health etc. Vital statistics also helps to verify
effectiveness of efforts. Population trends, Population composition according
to sex, education, religion, marital states etc. can also be studied. It can be
used to compare general health conditions of two countries with the help of
death rates, average longevity, infant mortality rates.
iii. It is used in research
activities to establish relation between different vital events. Analytical
study is also possible with help of vital statistics.
iv. It helps in social and economic
programs.
v. Actuarial sciences use vital
statistics every now and then. Mortality rates are very much useful for LIC.
3.5
Population Growth Rates:
After studying mortality and fertility rates, we are interesting in measures of population growth. These are two basic factors in the net change in the
population. In general, we see that fertility rate is larger than the mortality rate. Average life of an individual, average age at marriage,
female population in a child bearing period are some more factors which
directly influence the population growth. In general, the following methods are
used to measure the population growth.
I. Crude Rate of Natural Increase:
It
is the simplest and easiest way of measuring population growth. It is defined
as,
Crude
rate of natural increase = CBR – CDR.
If it is positive population is increasing and
If it is negative, population is decreasing..
II. Pearls Vital Index:
It
is defined as,
If the index is greater than unity, population is increasing. On the other hand if it is less than unity, population is decreasing.
Both these measures are considered unsuitable, since they carry all the drawbacks of CBR and CDR. More sophisticated measures are the Gross Reproduction Rate (GRR) and the Net Reproduction Rate (GRR).
1. Gross reproduction Rate
(GRR):
To get a proper measure of population growth, it is necessary to take account the age sex composition of the population. To measure population growth, we consider only female births because the female children will be the future mothers. (Since population mainly increases through females). Thus, to get appropriate measure of growth, we need to know the number of female births in the every age group of woman population.
Thus, if Bif is number of female births and Pif is female population of ith age group then female age specific fertility rate is given by,
Summing these rates of all ages in reproductive period a measure of population growth called (Gross Reproduction Rate -GRR) is obtained as fallows;If 'W' is the width of age group, then
However,
many times female births are not separately recorded for each age group. Only total births and total female births are given i.e. female birth ratio is given which is assumed to be constant , over all the age groups. Sex ratio can be used to get proportion of female births. It is defined as
follows;
Thus,
sex ratio is a number of females per 1000 males. We assume that the sex ratio
at the birth is constant.
If
Bf is total female births and B is the total number of births then
GRR can be modified as fallows;
Note:
i.
ii. Generally, GRR per women lies
between o and 5 and GRR < TFR.
iii. GRR per women is interpreted as
the average number of daughters to a woman in a child bearing period.
Limitations of GRR:
In
computations of GRR we have assumed that every female child born at present
will grow and survive up to the child bearing age period. Hence, GRR
overestimates the growth rate.
2. Net Reproduction Rate (NRR):
In
order to remove the drawback (i) of GRR, we consider probable population in
every age group. This can be done by using survival factor, which is the
proportion of women who will survive for the corresponding age group. If πi
(0≤ πi ≤1) is the survival factor of females in the ith
age group then we define NRR, the improved measure of population growth as
follows;
Note:
i. Here we assume that all age
groups are of uniform width.
ii. Among Bif
female babies born at present, only Bif × πi
will survive up to end of ith age group in reproductive age period.
iii. Since, πi ≤1, NRR
≤ GRR.
iv. NRR per women (i.e. without
multiplier 1000) is a average number of daughter born per women. Thus NRR gives
future mothers replaced by present women in the reproduction age group in the population.
Interpretation: on the basis of NRR per women;
i. Suppose NRR = 1, this clearly
means that number of women in the reproductive age period at present will be
same in future also. Hence, in the population number of potential mothers will
remain same. Therefore, the total population will remain same.
ii. If NRR > 1, then number of
potential mothers in future will be larger than that of at present. This will
clearly result into increase in population.
iii.
If NRR < 1,
then number of potential mothers in future will be smaller than that of at
present. Therefore, eventually the total population will be decreasing.
Limitations of NRR:
i. In the computation of NRR we do
not take into account infertility factor, Widows, unmarried female population
etc. hence it cannot be directly used for population projection. Therefore,
altogether different methods are used for population projection.
ii. We
assume same fertility conditions in the next generations, which may not be the
reality.©
Q:1
Choose the correct alternative.
1. S.T.D.R. of standard
population is ………
a) C.B.R.
b) I.M.R. c) C.D.R. d) none of these
2. If N.R.R. < 1, then
population is ………
a) increases b) remains as
it is c) doubles
d) decreases
3. The collection of
information (data) about each & every individual of a country is known as -----
a) sample survey b) demography c) census
d) population studies
4. Specific death rate may be
calculated according to ....…
a) age b) sex c) region or locality d) none of these
5. Population for intercensal
year (t) is calculated as ………
a) Pt = P0 + (B-D)+ (I-E) b) Pt = (B-D)+ (I-E) c) Pt = P0 + (B-D)* (I-E) d) Pt = P0 + (B-D)- (I-E)
6. If N.R.R. > 1, then
population is ………
a) increases b) remains as
it is c) doubles
d) decreases
Q:2 Attempt any two.
1. What is demography? State the uses of vital statistics.
2. Define vital statistics? What
are the methods of obtaining vital statistics.
3. Explain G.F.R. & T.F.R.
4. Define age S.F.R. and infant mortality rate.
Q:3 Attempt any one.
1. Explain STDR by direct and
indirect method of standardization.
2. Define a) C.D.R. b) S.D.R.
c) G.R.R. d)
N.R.R.
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