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Ranking of District in Bihar and Jharkhand |
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POPULATION FOUNDATION OF INDIA
B-28, Qutab Institutional Area, New Delhi- 110016
Tel.: +91-11-43894100, Fax: +91-11-43894199
Website : www.populationfoundation.in
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Ranking of Districts in
Bihar and Jharkhand
for Area-Specific Planning and
Programme Interventions
Population Foundation of India
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Contents
1. Introduction
5
2. Methodology
5
3. Indicators
6
4. Standardisation of Indicators
8
5. References
11
6. Annexure
12
List of Tables
Table-1: Ranking of Districts in terms of Composite Indices
9
Table-2: Distribution of Districts in terms of Composite Indices
11
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5
Introduction
With the 73rd amendment to the Constitution, districts became the focus of attention. Inter
district disparities have a strong bearing on regional disparities in development across
states. The District Level Household Survey (DLHS-3, 2007-08) provides a set of key
indicators for 601 districts from 34 states on reproductive and child health. The Provisional Population
Total of Census, 2011 also provides some indicators at the district level. A combination of DLHS and
Census based indicators will help to assess the overall development of the districts. It will also help
policymakers, planners and programme managers to formulate better strategies for the development
of the districts.
Understanding the need for area-specific planning and the special attention needed for districts lagging
far behind in human development, an attempt has been made to compute composite indices based on
ten key variables for the districts of Bihar and Jharkhand. The variables are chosen in such a way that
they reflect the overall progress of the districts. The indicators have been selected so that they help
policymakers and programme managers in any one of the following:
• To assess current levels and monitor the trends
• To assess the achievements of various programmes relating to RCH components
• Rank of districts according to their level of development
• Identify target areas and groups requiring special attention
• To a better understanding of linkages on output and input variables
In order to rank the districts, Population Foundation of India (PFI) has computed a composite index
for the states of Bihar and Jharkhand called the ‘The Socio Demographic Development Index (SDDI)’
based on 10 key indicators drawn from Census 2011 and District Level Household Survey -3, 2007-
08.
Methodology
The selection of variables for such an exercise is extremely important. There are two basic requirements
for the selection of variables in the computation of composite index. First, these selected variables
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6 should have a direct link with the level of development of the area and human development. The
second most important requirement relates to the quality of available variable and its sensitivity to
the measurement error. There are many demographic indicators that would have ambiguous and
spurious link with development especially when we go below national or state level. At district
level, a number of indicators are affected due to low development of the districts, its geographical
location and proximity to large cities/towns. A variable may have direct link with development but its
measurement at the district level is unrealistic and so its inclusion becomes questionable. There are
also some methodological issues once an attempt is made to construct a composite index. Among
the selected variables one may be more important than the other, and therefore, in final combination
there is a need to give an appropriate weight to each variable. The weights are statistically derived
and at many times confusing to less statistically oriented readers. Also, they may not fit in the general
perception of the existing linkages among the selected variables. Hence, a simple average of each
index has been taken into consideration in order to get a composite index.
The Socio-Demographic Development Index (SDDI) has been developed by taking into consideration
four Census-based indicators and six District Level Household Survey (DLHS-3) indicators. A
dimensional index for the 10 variables was developed, and the SDDI is an average of these ten
individual dimensional index. Apart from the SDDI, other two indices - the Social Development
Index (SDI) and the Reproductive Health Index (RHI) have also been computed. The SDI indicates
the extent of social development/disparities and the RHI index indicates the success of programmatic
intervention pertaining to Reproductive and Child Health.
Indicators
For the construction of the individual dimensional index, actual, maximum and minimum values of
these 10 indicators were taken into consideration.
Census 2001
1. Female literacy (7 years and above)
2. Gender disparity in literacy(female literacy/male literacy*100)
3. Child sex ratio
4. Proportion of population (0-6 years)
DLHS-3 (2007-08)
5. Percentage of girls marrying below 18 years of age
6. Percentage of birth order three and above
7. Percentage of currently-married women using any family planning method
8. Percentage of safe delivery
9. Percentage of children under age three who received complete immunisation
10. Percentage of women who received complete ANC.
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A brief description and justification for inclusion of each indicator is given below.
7
1. Female Literacy (7+ years): The female literacy for 7 years and above is taken for the computation
of the composite index. It is well known that female literacy is directly related to the level of social
development and it is one of the key variables in the developmental process. A high level of female
literacy is associated with low birth rate, a lower level of infant and child mortality and a higher use
of contraception.
2. Gender Disparity in Literacy: The gender disparity in literacy means that there is a male female
differential in literacy level. It is also related to the status of women. Gender disparity has been
computed as the ratio of female to male literacy multiplied by 100. The ratio varies between 0 to
100. The lower the index value, the higher the gender disparity and vice-versa.
3. Child Sex Ratio: Sex ratio has been used as an indicator of the status of women. The overall
sex ratio may be a good indicator at national and state levels. However, there are various factors
affecting the sex ratio of the population below the state level. Of these, migration by males plays
a greater role. This process reduces the sex ratio in the districts that receive male migrants and
increases sex ratio in those districts that send out male migrants. Therefore, districts having a
higher sex ratio (more females per 1000 males) will not necessarily be a developed one. Many poor
districts from where large numbers of males migrate to an already crowded urban agglomeration
for employment show more females. Further, the sex ratio of the population in 2001 is the legacy
of the past many years and does not indicate the situation of today or development that has taken
place in the very near past. It is therefore, difficult to say whether the sex ratio of population would
be a good indicator at district level. Rather, the sex ratio of the 0-6 population is least affected by
migration and reflects changes that have taken place in the near past. Child sex ratio is defined as
the number of girls per thousand boys in the age group of population between 0-6 years. Thus the
sex ratio of 0–6 children has been considered for computing the composite index.
4. Proportion of Population in 0-6 years Age Group: Children in the 0-6 year age group are those
who have survived during the last six years. The higher the proportion of children in a district, the
higher is likely to be the birth rate and vice versa. This proportion is preferred as compared to the
decadal growth rate. The growth rate has two components - natural increase and net migration.
While natural increase is likely to be negatively related to development, the relationship between
migration and development may not be so. The overall growth rate therefore may not show a
clear relationship with development. A similar argument also holds true for the overall sex ratio of
population in a district.
At district level, population growth rate is very sensitive to even a small change in these components.
Generally, it has been observed that low development in a district leads to a large out-migration
of males, so population growth remains low. At the same time, developed districts attract a large
volume of labour and therefore, may have higher growth rate. So, population growth rate may
not be a good indicator at the district level. In place of this, the proportion of population in 0-6
years will be a good indicator. It reflects the survival of births during the last six years and may
approximate current fertility and therefore, has been used in the present exercise.
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8
5. Girls Marrying below 18 Years of Age: Under DLHS, the age at marriage of boys and girls
preceding three years of survey was collected. Accordingly, the proportion of girls marrying below
18 years is computed for each district. Early marriage of girls leads to a higher family size, high
infant and child mortality and pregnancy complications. Districts with higher proportion of girls
marrying below 18 years may also be socially and health wise worse off than others. Adolescent
reproductive health is strongly affected by low age at marriage and such continuing practices leave
a long lasting effect on women’s lives. The higher proportion of girls marrying young would also
indicate the need for social development on one hand, and the strict implementation of the law on
the other.
6. Birth Order Three and Above: Birth order is a good proxy for fertility. The higher the proportion
of births of order three and above, the higher will be the fertility and vice versa. It affects negatively
the state of reproductive and child health.
7. Current Use of any Family Planning Method: The higher use of family planning helps to
reduce the natural growth rate of a population. Under RCH, the use of family planning is largely
emphasized. This variable is critical in population stabilisation and in achieving better reproductive
health.
8. Safe Delivery: A ‘safe’ delivery is one that is assisted by trained health professionals either at a
hospital or at home. It reduces maternal and child death and promotes safe motherhood. The
promotion of safe delivery is a priority under reproductive and child health. The higher the
coverage, the better the state of reproductive and child health. Institutional delivery is a key to the
reduction of maternal mortality.
9. Complete Antenatal Care: Complete ANC includes at least one TT injection, three ANC
check-ups and consumption of IFA tablets during pregnancy. It is directly linked to the state of
reproductive and child health. The higher the coverage of ANC, the better the maternal health care
that leads to higher child survival and lower maternal mortality.
10. Complete Immunisation: Complete immunisation includes BCG, three doses of polio and
DPT, and measles. It prevents six childhood killer diseases. The higher the coverage of complete
immunisation, the better would be the child’s health and vice versa. The objective under RCH
programme is to achieve universal immunisation.
Standardisation of Indicators
The indicators have been grouped into positive and negative and are standardised to compute the
composite indices.
For positive indicators (safe delivery, complete antenatal care etc.), the composite index is usually
computed as -
100 x (Vi – V min)/ (V max – V min)
In other words, index value is [Actual Value in the series – Minimum Value in the series] divided by
[Maximum Value – Minimum Value]. This simply states that the district with a lowest value will get a
score of 0 and the district with a highest value will get a score of 100.
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In case if variables affect negatively (birth order three and above, girls marrying below 18 years of
9
age), the index is computed as -
100 x (V max-Vi)/ (V max- V min)
Ranking of Districts In terms of Composite Indices
All 37 districts of Bihar and 22 districts of Jharkhand were ranked on the basis of Socio Demographic
Development Index (SDDI), Social Development Index (SDI) and Reproductive Health Index (RHI).
In terms of RHI, 24 districts in Bihar have a score less than 50 and in Jharkhand 16 districts have a
score less than 50.
Table-1: Ranking of Districts in terms of Composite Indices
Districts
SDDI
Rank
SDI
Rank
RHI
Bihar
Munger
77.5
1
58.3
10
87.1
Patna
69.5
2
55.0
14
76.7
Rohtas
Siwan
Nalanda
Aurangabad
Gopalgunj
Bhojpur
64.4
3
61.8
6
65.7
61.6
4
60.9
7
61.9
59.0
5
58.3
9
59.3
58.8
7
65.4
1
55.6
58.8
6
63.5
4
56.5
57.1
8
63.4
5
53.9
Jehanabad
55.9
10
50.5
17
58.6
Bhagalpur
55.8
9
54.6
15
56.3
Buxar
54.7
11
55.8
13
54.2
Sheikhpura
51.8
12
47.1
18
54.2
Saran
51.5
13
56.4
12
49.1
Muzaffarpur
51.4
14
65.1
3
44.6
Vaishali
Kaimur
Begusarai
Lakhisarai
Nawada
Purba Champaran
51.3
15
37.4
26
58.3
48.4
16
56.7
11
44.3
46.0
17
59.5
8
39.3
45.1
18
44.1
21
45.5
43.7
19
65.3
2
32.9
43.6
20
41.4
22
44.7
Gaya
43.0
21
53.4
16
37.8
Supaul
40.5
22
40.1
23
40.7
Banka
39.8
23
44.7
19
37.3
Rank
1
2
3
4
5
10
9
13
6
8
12
11
14
16
7
17
23
15
29
18
25
20
26
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10
Districts
Madhubani
Samastipur
Khagaria
Darbhanga
Katihar
Saharsa
Kishangunj
Araria
Paschim Champaran
Jamui
Purnia
Madhepura
Sitamarhi
Sheohar
Purbi Singhbhum
Dhanbad
Ranchi
Saraikela-Kharsawan
Bokaro
Hazaribagh
Lohardaga
Simdega
Gumla
Koderma
Pashchimi Singhbhum
Palamu
Latehar
Jamtara
Dumka
Garhwa
Chatra
SDDI
Rank
SDI
Rank
RHI
Rank
Bihar
39.2
24
37.2
28
40.2
21
38.9
25
36.7
29
40.0
22
37.2
26
26.9
37
42.4
19
36.6
27
33.3
32
38.3
24
34.3
29
38.3
25
32.3
30
34.2
31
31.4
33
35.6
28
34.0
28
44.6
20
28.7
33
33.5
30
30.3
34
35.0
27
31.0
32
37.2
27
27.9
34
30.4
34
38.9
24
26.2
35
30.0
33
29.4
35
30.2
32
29.7
35
27.0
36
31.0
31
28.2
36
34.9
30
24.9
36
20.1
37
33.4
31
13.4
37
Jharkhand
89.2
1
75.0
1
96.2
1
63.4
2
49.8
9
70.2
2
63.0
3
62.7
3
63.2
5
60.7
4
45.2
15
68.5
3
59.7
5
42.9
20
68.1
4
57.2
6
49.8
10
60.9
6
51.3
7
62.4
4
45.7
7
47.8
8
66.1
2
38.6
9
41.6
9
57.8
5
33.5
13
41.5
10
56.4
6
34.0
12
41.3
11
39.9
22
42.0
8
39.2
12
56.1
8
30.8
15
38.8
13
47.6
12
34.5
11
38.3
14
43.5
17
35.7
10
36.5
15
45.8
14
31.8
14
35.2
16
49.4
11
28.1
16
34.1
17
56.4
7
23.0
18
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Districts
Deoghar
Giridih
Godda
Sahibganj
Pakur
SDDI
Rank
SDI
Rank
RHI
Rank
11
Jharkhand
32.1
18
47.4
13
24.5
17
28.9
19
44.5
16
21.0
19
27.2
20
41.0
21
20.3
20
25.8
21
43.4
18
17.0
21
22.0
22
43.0
19
11.6
22
Ranking of districts in terms of SDI shows that in Bihar, 20 districts have a score less than 50, and in
Jharkhand, 14 districts have a score less than 50. Similarly, the ranking of districts in terms of SDDI,
shows that 22 districts in Bihar have a score less than 50, and 15 districts in Jharkhand have a score less
than 50. Individual variables also reflect that these districts are not performing well in both RHI and
SDI. Policymakers and programme managers need to advocate for improving the health and social
development scenarios in these states.
Table-2: Distribution of Districts in terms of Composite Indices
Index
Number of Districts
With score less than 50
Number of Districts
With score more than 50
Bihar
SDI
20
17
RHI
24
13
SDDI
22
15
Jharkhand
SDI
14
8
RHI
16
6
SDDI
15
7
The Government of India has, in fact recognised the importance of the problem and have included
Bihar and Jharkhand under the 18 high-focus states of the National Rural Health Mission (NRHM).
References
1. International Institute for Population Sciences (2002) Ram, F and S.K. Mohanty, Ranking of Districts
in India for Area Specific Planning and Programme Intervention.
2. Population Foundation of India (2007), Nanda A.R. et al., India-Socio Demographic Development
Index.”
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12 Annexure
Indicators
Mothers
Mothers
Current who had
who had
State/
District
Girls Births
marrying of order
before 3 and
compeleting above
18 years (%) (%)
use of at least 3
family ante-natal
planning care visits
- any during
method the last
Institu-
tional
births
(%)
Children
(12-23
months)
fully
immunised
Safe
delivery
Full
ANC
Population
0-6 years
age group
(%)
Female
literacy
rate
at least 3
Child Male Gender ante-natal
sex literacy disparity care visits
ratio rate in litearcy during
the last
(%) pregnancy
pregnancy
(%)
(%)
Bihar
Munger
29.9
42.6 43.2
37.3
48.6
43.2
53.9 12.2 16.3
54.6 925 67.3 66.5
78.7
Patna
33.1
45.7 44.9
24.1
58.3
39.1
60.1 7.5
15.7
53.7 899 67.7 67.9
34.7
Rohtas
51.8
47.7 43.5
25.6
48.5
41.5
59.3 6.6
16.6
54.1 925 71.2 70.3
39.7
Siwan
25.9
46.0 25.2
33.3
33.4
51.8
39.2 7.3
16.1
50.9 934 69.1 68.8
65.3
Nalanda
46.6
47.8 32.7
24.6
39.3
55.2
44.2 8.1
17.4
45.2 929 63.7 76.9
36.3
Aurangabad 37.6
46.9 36.2
20.3
30.6
60.7
34.3 4.7
17.4
51.0 941 68.3 74.7
22.0
Gopalgunj
34.1
48.4 23.1
32.2
36.5
57.4
41.2 5.6
17.1
46.8 959 64.5 72.5
61.7
Bhojpur
46.4
45.5 37.5
18.4
40.5
33.3
48.5 4.9
16.2
50.4 934 70.6 71.4
15.7
Jehanabad
54.0
46.1 29.6
31.2
42.6
44.7
48.4 7.8
17.4
46.6 930 66.2 70.5
58.3
Bhagalpur
26.4
53.1 42.3
20.8
30.3
49.7
40.6 5.4
17.6
46.3 911 60.0 77.1
23.7
Buxar
49.5
47.9 33.9
21.4
48.0
33.3
50.6 6.4
16.8
49.8 915 68.9 72.2
25.7
Sheikhpura 51.3
52.1 28.9
43.7
41.5
44.4
44.4 5.2
18.6
44.6 940 62.1 71.8
100.0
Saran
30.5
51.5 30.3
21.5
22.4
67.0
27.3 5.6
16.7
47.5 922 66.2 72.7
26.0
Muzaffarpur 36.2
50.5 34.2
20.2
23.0
54.9
26.1 3.8
17.1
47.0 917 61.1 81.1
21.7
Vaishali
41.6
46.9 45.3
16.3
28.2
59.3
35.2 5.8
16.9
49.1 894 64.0 64.8
8.7
Kaimur
55.4
51.5 32.8
24.3
42.6
24.9
47.3 5.8
17.9
48.8 939 67.0 72.8
35.3
Begusarai
44.9
54.2 29.6
29.4
26.9
41.0
30.5 4.7
18.0
46.7 939 61.1 76.5
52.3
Lakhisarai
54.1
48.0 33.3
25.8
32.6
36.6
36.7 5.1
18.2
44.8 915 60.6 72.8
40.3
Nawada
64.3
51.6 27.7
23.0
31.0
46.5
33.8 2.3
16.6
42.4 985 59.9 70.9
31.0
Purba
Champaran
53.6
48.1 28.8
34.8
27.1
37.3
28.4 6.4
19.5
38.0 923 54.9 79.3
70.3
Gaya
51.1
50.8 33.2
24.2
20.7
35.7
25.8 6.2
17.4
46.0 928 63.0 73.1
35.0
Supaul
43.3
51.5 45.1
20.0
23.2
41.5
25
1
19.0
37.7 942 58.1 73.6
21.0
Banka
59.1
50.4 26.3
31.9
24.7
37.6
35
4.5
17.9
40.4 945 57.5 70.3
60.7
Madhubani 38.3
53.1 35.9
33.6
16.0
43.1
19.5 2.9
17.4
39.9 931 59.9 66.8
66.3
Samastipur 50.2
52.7 36.1
23.1
27.6
47.8
29.9 2.9
18.4
43.5 941 59.8 65.1
31.3
Khagaria
50.2
51.3 32.8
27.9
25.3
52.3
30.6 3.1
20.9
41.1 912 54.4 73.6
47.3
Darbhanga 37.8
51.4 32.8
28.5
15.2
45.8
18.5 2.9
17.9
38.4 925 56.4 68.1
49.3
Katihar
42.5
53.0 27.9
32.6
12.5
34.8
16.5 4.8
19.6
36.3 956 49.3 72.8
63.0
Saharsa
55.5
47.9 34.9
13.7
20.0
43.0
27.3 4.1
19.9
34.1 928 52.4 76.0
0.0
Kishangunj 32.1
57.0 28.9
27.7
17.9
23.6
21.1 3.6
20.2
38.2 966 52.4 75.5
46.7
Araria
41.3
58.2 32.9
41.0
13.7
33.3
19.1 5.1
20.1
35.9 954 51.5 69.8
91.0
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13
Index
Current
Instituional
births (%)
Girls
marrying
before
compeleting
18 years (%)
Births of
order 3
and above
(%)
use of
family
planning
-any
method
Children
(12-23
months)
fully
Safe
delivery
immunised
Full
ANC
Population
0-6 years
age group
(%)
Child
sex
ratio
Gender
Female disparity
literacy in
litearcy
SDDI
RANK
SDI
Rank
RHI
(%)
Rank
79.0
100.0
78.8
46.2
59.0
40.2
52.9
61.6
66.1
39.5
77.8
63.7
22.5
23.8
35.0
66.1
32.2
44.5
41.0
32.6
18.8
24.2
27.4
8.6
33.7
28.7
6.9
1.1
17.3
12.7
3.7
90.3
82.5
37.0
100.0
49.6
71.5
80.0
50.1
31.6
98.8
42.6
38.2
88.8
74.9
61.8
28.2
53.8
31.4
6.6
32.6
38.7
57.7
19.2
69.8
40.9
40.9
71.0
59.6
28.0
84.9
62.5
122.0
98.5
83.3
96.2
82.6
89.4
78.0
100.0
95.5
42.4
81.8
50.0
54.5
62.1
89.4
54.5
34.1
81.1
53.8
80.3
59.8
54.5
62.9
42.4
45.5
56.1
55.3
43.2
81.8
12.9
3.8
90.5
98.2
91.9
9.5
43.2
59.0
0.0
64.9
29.3
86.5
48.6
26.1
32.4
50.0
100.0
43.7
29.3
45.9
20.7
25.7
45.5
99.1
14.4
57.7
58.6
43.7
43.7
21.6
53.2
26.1
44.1
50.3
41.8
46.8
68.3
75.4
86.8
80.0
29.6
53.4
63.9
29.6
52.8
100.0
74.7
83.9
12.1
45.7
36.5
57.2
38.0
34.7
46.8
38.6
50.1
59.9
69.3
55.7
32.8
49.9
9.4
29.6
86.2 100.0 89.1 33.5 100.0 10.4 77.5 1 58.3 10 87.1 1
100.0 58.0 100.0 5.5 95.5 18.9 69.5 2 55.0 14 76.7 2
98.2 50.0 81.8 34.1 97.5 33.7 64.4 3 61.8 6 65.7 3
53.6 56.3 93.0 44.0 82.0 24.7 61.6 4 60.9 7 61.9 4
64.7 63.4 66.6 38.7 53.9 74.2 59.0 5 58.3 9 59.3 5
42.7 33.0 66.6 51.3 82.7 60.9 58.8 7 65.4 1 55.6 10
58.0 41.1 73.4 71.2 61.9 47.6 58.8 6 63.5 4 56.5 9
74.2 34.8 90.1 43.7 79.4 40.5 57.1 8 63.4 5 53.9 13
74.0 60.7 67.1 39.0 61.0 34.8 55.9 10 50.5 17 58.6 6
56.7 39.3 64.4 18.7 59.3 75.8 55.8 9 54.6 15 56.3 8
78.9 48.2 78.7 22.4 76.4 45.8 54.7 11 55.8 13 54.2 12
65.1 37.5 44.1 50.1 51.3 43.0 51.8 12 47.1 18 54.2 11
27.1 41.1 81.3 30.2 65.6 48.4 51.5 13 56.4 12 49.1 14
24.4 25.0 72.9 24.8 62.9 100.0 51.4 14 65.1 3 44.6 16
44.7 42.9 76.4 0.0 73.1 0.0 51.3 15 37.4 26 58.3 7
71.6 42.9 57.2 49.2 71.5 48.9 48.4 16 56.7 11 44.3 17
34.2 33.0 55.6 49.2 61.5 71.7 46.0 17 59.5 8 39.3 23
48.0 36.6 52.0 23.1 52.2 49.2 45.1 18 44.1 21 45.5 15
41.6 11.6 83.3 100.0 40.4 37.4 43.7 19 65.3 2 32.9 29
29.6 48.2 26.5 31.5 18.9 88.9 43.6 20 41.4 22 44.7 18
23.8 46.4 67.2 37.2 58.1 51.0 43.0 21 53.4 16 37.8 25
22.0 0.0 36.0 52.4 17.3 54.4 40.5 22 40.1 23 40.7 20
44.2 31.3 58.5 55.6 30.7 33.7 39.8 23 44.7 19 37.3 26
9.8 17.0 67.2 41.0 28.0 12.4 39.2 24 37.2 28 40.2 21
32.9 17.0 47.7 51.3 45.7 2.0 38.9 25 36.7 29 40.0 22
34.4 18.8 0.0 19.4 33.9 54.2 37.2 26 26.9 37 42.4 19
7.6 17.0 58.4 33.6 21.0 20.1 36.6 27 33.3 32 38.3 24
3.1 33.9 25.2 68.4 10.5 48.9 34.3 29 38.3 25 32.3 30
27.1 27.7 19.8 37.0 0.0 68.7 34.2 31 31.4 33 35.6 28
13.3 23.2 13.6 79.2 19.8 65.9 34.0 28 44.6 20 28.7 33
8.9 36.6 15.9 65.6 8.8 30.9 33.5 30 30.3 34 35.0 27
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14
Indicators
Mothers
Mothers
Current who had
who had
State/
District
Girls Births
marrying of order
before 3 and
compeleting above
18 years (%) (%)
use of at least 3
family ante-natal
planning care visits
- any during
method the last
Institu-
tional
births
(%)
Children
(12-23
months)
fully
immunised
Safe
delivery
Full
ANC
Population
0-6 years
age group
(%)
Female
literacy
rate
at least 3
Child Male Gender ante-natal
sex literacy disparity care visits
ratio rate in litearcy during
the last
(%) pregnancy
pregnancy
(%)
(%)
Paschim
Champaran
58.3
58.7 34.4
36.3
24.9
27.1
27
1.5
19.2
37.6 950 55.4 70.8
75.3
Jamui
67.0
49.4 29.0
27.9
17.6
19.1
24.4 4.6
17.8
40.4 945 60.8 66.5
47.3
Purnia
38.7
53.6 28.9
17.7
21.7
39.4
23.7 2.4
19.7
34.6 953 49.2 69.2
13.3
Madhepura 54.3
53.5 36.7
20.1
17.7
45.2
21.1 2.7
19.9
34.2 923 51.2 73.9
21.3
Sitamarhi
44.7
56.3 26.0
24.9
16.3
36.8
20.1 3.1
18.8
35.1 932 51.0 73.5
37.3
Sheohar
54.3
57.0 28.3
18.2
12.0
27.4
15.1 1.9
19.0
38.1 925 51.8 71.9
15.0
Maximum 67.0
58.7 45.3 43.7 58.3
67.0
60.1 12.2 20.9 54.6 985 71.2 81.1
Minimum 25.9
45.5 23.1 13.7 12.0
19.1
15.1 1.0 15.7 34.1 894 49.2 64.8
Jharkhand
Purbi
Singhbhum
21
25.1 49.8
55
49.1
82.6
53.8 22.1 12.5
59.0 980 73.8 80.0
100.0
Dhanbad
25.9
38.9 50.0
50.9
35.4
46.8
43.3 15.4 13.7
55.8 917 74.0 75.4
89.1
Ranchi
24.5
34.9 42.1
40.6
27.5
69.0
35.1 13.6 13.8
57.2 944 69.3 76.0
61.7
Saraikela-
Kharsawan
25.4
36.5 39.4
49.7
24.4
82.0
30.0 17.0 14.4
48.2 937 69.2 69.6
85.9
Bokaro
29.2
37.8 53.8
46.2
31.9
57.1
39.3 17.5 13.8
53.0 912 72.8 72.8
76.6
Hazaribagh 32.3
37.6 48.9
38.6
25.9
74.3
40.2 9.0
15.1
51.8 925 69.6 74.3
56.4
Lohardaga
23.6
51.6 36.2
29.4
20.9
81.5
29.9 10.0 16.4
48.5 964 65.6 74.0
31.9
Simdega
12.9
52.2 24.6
36.8
10.1
59.6
15.6 7.3
15.2
50.5 975 64.2 78.7
51.6
Gumla
28.6
52.9 33.9
29.3
10.2
67.3
16.2 6.0
16.4
47.8 955 64.0 74.7
31.6
Koderma
54.5
51.6 32.3
33.3
27.0
48.8
42.1 8.8
17.9
45.0 951 66.7 67.5
42.3
Pashchimi
Singhbhum
25.0
49.5 29.4
32.6
21.9
60.8
30.5 14.7 16.9
39.2 947 59.8 65.4
40.4
Palamu
36.0
50.6 40.4
22.4
18.0
51.2
25.7 5.3
16.3
45.0 965 63.9 70.4
13.3
Latehar
34.1
52.8 33.9
28.7
11.4
77.7
17.5 6.3
18.3
41.1 944 58.7 70.0
30.1
Jamtara
40.4
40.3 30.4
34.2
17.8
39.4
22.8 15.5 16.3
42.0 948 64.3 65.3
44.7
Dumka
53.5
32.2 38.3
27.2
9.2
54.9
16.4 5.8
16.1
41.7 957 63.0 66.2
26.1
Garhwa
38.1
53.7 46.3
20.1
10.7
65.1
23.0 2.9
17.7
40.6 958 61.1 66.4
7.2
Chatra
45.8
50.0 33.9
22.9
14.4
45.9
22.9 6.6
18.1
42.5 963 58.9 72.1
14.6
Deoghar
54.7
42.2 38.1
22.9
16.2
38.2
22.8 10.1 17.6
43.1 939 65.3 65.9
14.6
Giridih
48.4
41.7 24.6
25.0
16.5
26.5
24.0 11.1 18.4
41.1 934 64.4 63.8
20.2
Godda
38.8
43.8 22.4
24.1
10.6
35.8
16.4 8.5
17.9
36.8 953 57.2 64.2
17.8
Sahibganj
39.8
47.8 29.2
23.2
5.9
35.0
8.9 3.4
18.8
35.9 955 50.9 70.6
15.4
Pakur
42.7
52.5 16.5
17.4
10.8
47.2
13.6 2.9
19.5
33.3 961 47.4 70.2
0.0
Maximum 54.7
53.7 53.8 55.0 49.1
82.6
53.8 22.1 19.5 59.0 980 74.0 80.0
Minimum 12.9
25.1 16.5 17.4
5.9
26.5
8.9 2.9 12.5 33.3 912 47.4 63.8
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2.6 Page 16 |
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Index
15
Current
Instituional
births (%)
Girls
marrying
before
compeleting
18 years (%)
Births of
order 3
and above
(%)
use of
family
planning
-any
method
Children
(12-23
months)
fully
Safe
delivery
immunised
Full
ANC
Population
0-6 years
age group
(%)
Child
sex
ratio
Gender
Female disparity
literacy in
litearcy
SDDI
RANK
SDI
Rank
RHI
(%)
Rank
27.9
21.2
0.0
50.9
16.7
26.4 4.5
33.0 61.7 16.9 37.1 31.0 32 37.2 27 27.9 34
12.1
0.0
70.5
26.6
0.0
20.7 32.1 58.8 55.7 30.9 10.3 30.4 34 38.9 24 26.2 35
21.0
68.9
38.6
26.1
42.4
19.1 12.5 24.0 64.2 2.3 27.2 30.0 33 29.4 35 30.2 32
12.3
30.9
39.4
61.3
54.5
13.3 15.2 19.2 32.2 0.3 56.2 29.7 35 27.0 36 31.0 31
9.3
54.3
18.2
13.1
37.0
11.1 18.8 40.2 41.2 4.7 53.4 28.2 36 34.9 30 24.9 36
0.0
30.9
12.9
23.4
17.3
0.0 8.0 36.6 34.0 19.3 43.8 20.1 37 33.4 31 13.4 37
100.0
68.3
50.0
42.8
60.2
46.3
34.7
9.7
10.0
48.8
37.0
28.0
12.7
27.5
7.6
11.1
19.7
23.8
24.5
10.9
0.0
11.3
80.6
68.9
72.2
70.1
61.0
53.6
74.4
100.0
62.4
0.5
71.1
44.7
49.3
34.2
2.9
39.7
21.3
0.0
15.1
38.0
35.6
28.7
100.0
51.7
65.7
60.1
55.6
56.3
7.3
5.2
2.8
7.3
14.7
10.8
3.1
46.9
75.2
0.0
12.9
40.2
42.0
34.6
20.6
4.2
89.3
89.8
68.6
61.4
100.0
86.9
52.8
21.7
46.6
42.4
34.6
64.1
46.6
37.3
58.4
79.9
46.6
57.9
21.7
15.8
34.0
0.0
100.0
89.1
61.7
85.9
76.6
56.4
31.9
51.6
31.6
42.3
40.4
13.3
30.1
44.7
26.1
7.2
14.6
14.6
20.2
17.8
15.4
0.0
100.0 100.0 0.0 100.0 100.0 100.0 89.2 1 75.0 1 96.2 1
68.3 36.2 17.1 87.4 87.4 7.2 63.4 2 49.8 9 70.2 2
50.0 75.8 17.9 93.0 93.0 46.8 63.0 3 62.7 3 63.2 5
42.8 98.9 27.7 57.8 57.8 37.4 60.7 4 45.2 15 68.5 3
60.2 54.5 18.5 76.6 76.6 0.0 59.7 5 42.9 20 68.1 4
46.3 85.2 36.6 71.8 71.8 19.1 57.2 6 49.8 10 60.9 6
34.7 98.0 55.6 59.1 59.1 75.8 51.3 7 62.4 4 45.7 7
9.7 59.0 38.9 66.7 66.7 92.1 47.8 8 66.1 2 38.6 9
10.0 72.7 55.8 56.4 56.4 62.6 41.6 9 57.8 5 33.5 13
48.8 39.8 77.4 45.5 45.5 57.3 41.5 10 56.4 6 34.0 12
37.0 61.1 63.1 22.8 22.8 50.8 41.3 11 39.9 22 42.0 8
28.0 44.0
12.7 91.3
27.5 23.0
7.6 50.6
11.1 68.8
19.7 34.6
23.8 20.9
24.5 0.0
10.9 16.6
0.0 15.2
11.3 36.9
54.9
82.7
53.7
51.7
73.8
79.9
73.2
84.6
77.2
90.2
100.0
45.4 45.4
30.3 30.3
33.8 33.8
32.6 32.6
28.4 28.4
35.7 35.7
38.0 38.0
30.4 30.4
13.6 13.6
10.4 10.4
0.0 0.0
78.4 39.2 12 56.1 8 30.8 15
47.0 38.8 13 47.6 12 34.5 11
52.7 38.3 14 43.5 17 35.7 10
66.3 36.5 15 45.8 14 31.8 14
67.1 35.2 16 49.4 11 28.1 16
74.2 34.1 17 56.4 7 23.0 18
40.5 32.1 18 47.4 13 24.5 17
32.7 28.9 19 44.5 16 21.0 19
59.8 27.2 20 41.0 21 20.3 20
62.8 25.8 21 43.4 18 17.0 21
71.9 22.0 22 43.0 19 11.6 22
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