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Vital
statistics >> SRS Newletters >> eCENSUSIndia :
Issue Number 13 : 2002
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Features
article on Vital rates by Natural Divisions in India
Updated article on Vital rates by Natural Divisions in India
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Understanding
the Vital Rates - Births, Deaths and Infant Mortality Rate
- at Natural
Division Level
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a result of the concerted efforts undertaken by the government
and some other
agencies it has been possible to substantially lower the vital rates in India.
Various health programmes including Maternal Health Care (MCH)
programme, universal
immunization, safe motherhood and the family planning programme have directly
contributed toward this visible decline in the last two decades.
Table 1 summarizes
the decline of the vital rates in India over 1971 to 2000. |
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Table
1
Vital rates for India - 1971
- 2000 |
| Year | Crude
Birth Rate | Crude
Death Rate | Infant
Mortality Rate | | 1971 | 36.9 | 14.9 | 129 | | 1976 | 34.4 | 15.0 | 129 | | 1981 | 33.9 | 12.5 | 110 | | 1986 | 32.6 | 11.1 | 96 | | 1991* | 29.5 | 98 | 80 | | 1996 | 27.5 | 9.0 | 72 | | 2000 | 25.8 | 8.5 | 68 | Source
: Sample Registration System, Office of the Registrar General, India
*-Excludes
Jammu & Kashmir |
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At
the state level, however, the trend in decline of vital rates shows
a mixed pattern.
Whereas some states have shown remarkable improvements in the pursuit of lowering
the birth rate, death rate and infant mortality rate mainly due
to the seriousness
with which the programmes mentioned above were implemented over the years,
some other states could achieve only limited progress. The Hindi
speaking heartland
of the country, comprising of Rajasthan, Himachal Pradesh, Haryana, Uttar Pradesh,
Madhya Pradesh and Bihar, where about 44% of the population of
the country live,
significant decline in the vital rates is still far away with the sole exception
of Himachal Pradesh. Table 2 would illustrate this further: |
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Table 2
Crude birth rate, Crude death rate and Infant mortality
rate by states, 1997-99 |
| Birth
rate |
INDIA (26.4), Kerala (18.0),
Tamil Nadu (19.1), West Bengal (21.5), Andhra Pradesh (22.2), Maharashtra
(22.2), Karnataka (22.3), Punjab (22.4), Himachal Pradesh (23.0), Orissa (25.4),
Gujarat (25.5), Haryana (27.6), Assam (27.7), Madhya Pradesh (31.2),
Bihar (31.5), Rajasthan (31.6), Uttar Pradesh (32.9)
| | Death
rate |
INDIA (8.8), Kerala (6.4),
West Bengal (7.4), Punjab (7.5), Maharashtra (7.5), Himachal Pradesh (7.7),
Karnataka (7.7), Gujarat (7.8), Haryana (8.0), Tamil Nadu (8.2), Andhra
Pradesh (8.5), Rajasthan (8.7), Bihar (9.4), Assam (9.9), Uttar
Pradesh (10.4), Orissa (10.9), Madhya Pradesh (10.9) |
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Infant
Mortality rate |
INDIA (70.5), Kerala (14.1),
Maharashtra (48.0), Tamil Nadu (52.6), Punjab (52.8), West Bengal
(53.6), Karnataka (61.4), Himachal Pradesh (61.4), Gujarat (63.2), Andhra Pradesh (65.2),
Bihar (67.0), Haryana (68.6), Assam (76.0), Rajasthan (83.1),
Uttar Pradesh (85.1), Madhya Pradesh (94.0), Orissa (96.9)
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As
the Hindi Belt also includes one of the most densely populated
area of the country,
the Gangetic Plains, the slow decline in vital rates is adversely affecting
the overall efforts in improving the living condition of the
population in this area.
It is important to consider the disaggregated vital rates at the sub-state
level in districts or regions. One of the reasons for not publishing
vital rates at
district level is the insufficient sample size on which the rates are estimated
based on Sample Registration System (SRS) survey. Lower the sample
size, higher
the error, which is likely to creep in while estimating the vital rates. Though
census releases indirect estimation of vital rates at district
level on the basis
of the decennial census data, the decade long gap in the availability of data
at district level restricts its effective use in formulating
intervention strategy
and evaluation at regular short intervals, which otherwise is available every
year through SRS. |
In
this article an attempt has been made to analyse the
data at the natural division
level, which comprises of a number of administrative districts. The estimation
of vital rates at natural division level has less sampling
errors than at district
level. Furthermore many scholars are now holding the view that due mainly to
greater homogeneity and uniformity in the cultural
ethos and socio-economic and demographic
conditions of the people living in the natural divisions than in the form of
administrative districts, it is possible to delineate
the areas of disparity by natural divisions.
The picture emerging seems to represent a more realistic pattern of the differences
or similarities existing for a particular characteristic.
The natural division
used here for the analysis conforms to the natural divisions used by the NSSO. |
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