TABLE 1.

1:
exclusi wom
childre wom
health antina children vaccin Treat ve childre wome pregn wome en (
home n wom en
Impr unm worker tal with ation ment breastf n 6-8 n ant n 40-
Birt atlea born preval under en 15+
oved Impro et talk to check iron post within ORS of eeding month below wome (15+) 49)
h st 4 checku instituti ance 3 yr with with
drink ved clean need female up folic natal 12-23 during childr of with norm n 15- with check
STATE/DISTRICT regi antin p onal of breasfe over high
ing sanit fuel for non with acid care mont diarrh en childre food al 49yr high up
stra atal within birth diarrh ed weigh blood
wate ation spaci user in first 100+ within 2 hs oea with n & BMI with BP & for
tion visit 48 oea within t (BMI sugar
r ng about trimes day of with diarrh under breast (<18.5 anemi medic breas
hours 1 hr of 25.0+) (141-
FP ter delivary card oea 6 milk ) a ine t
birth 160)
month cance

WEST BENGAL 98 97.5 68 40.2 60.7 29.4 2.2 20.3 0.7 72.6 75.8 94.6 76.8 95 94.4 1.8 96.3 2.5 6.5 24 17 7.1 14.8 62.3 8.9

DARJEELING 98 90.8 83 68.8 2.7 11.8 85 79.2 62.2 0 84.7 98.4 94.2 6.6 0 0 54.3 41.6 0 11.8 28.3 0 7 29.2 0.3

JALPAIGURI 99 95.2 73.2 42.7 1.6 15.1 77.5 88.4 70.7 0 82.5 95.8 87.9 4.3 0 0 61.3 60.9 0 15.8 16.7 44.8 7.9 21.2 0

KOCH BIHAR 97 99.3 75.7 25.7 2.3 18.3 71.3 77.3 58.8 0 79.7 93 94.2 4.5 0 0 56.5 45.9 0 18.1 16.5 72 8.3 21.7 0.2

UTTAR DINAJPUR 98 99.8 63.8 27.2 3.3 10.3 76.6 70.1 59.3 6.5 69.4 76.9 84.4 7.9 64.9 82.5 60.2 66.4 0 16.5 14.6 84.4 8 16.3 0

DAKSHIN
DINAJPUR 98 99.7 79 28.7 2.6 16 70.9 76.4 76.2 0 89.1 91.4 92.6 2.7 0 0 70.5 0 0 14.9 20.2 61.4 10.5 70.6 0.2
MALDAH 96 99 62 29.6 3.4 18.9 77.8 82.8 58.8 6 67.9 87.7 87.2 5.5 0 0 52.5 59.8 0 15.7 22 67.6 8 19.3 0

MURSHIDABAD 99 99.1 69.7 30.7 1.8 6.4 73.9 66.9 52.8 0 67.6 87 90 7.8 71.5 90.6 57.9 39 0 19.9 25.2 66.7 8.9 18.7 0.3

BIRBHUM 99 99.4 55 28.1 2.7 21.6 81.9 78.4 51.5 10.1 81.7 90.3 81.6 9.5 68.1 74.7 72 56.2 0 20.5 13.4 66 8.7 70.5 0.2
HUGLI 98 98.1 76.2 54.6 2.5 13.3 76 72.2 68.1 0 76.7 97 95.4 11.2 0 0 69.5 0 0 14.1 34.6 0 8.8 24.1 0.4
NADIA 99 98.2 78.4 34.2 5.9 20.9 61.1 71.2 57.9 0 89.9 97.7 89.9 5.9 0 0 71.8 0 0 8.3 28.6 58.7 11.1 21.2 0

KOLKATA 95 99.3 60.9 91.7 0.3 17.9 74.2 71.7 67.5 0 84.6 97.5 80.2 5.6 0 0 44.2 0 0 6.6 29 0 10.6 23.9 0
HAORA 98 99.5 72.9 61.9 1.6 20.5 84.8 82.7 69.2 0 79.8 95.5 87.8 6.6 0 0 58.4 0 0 10.3 22.8 0 9.5 24 0

PURULIYA 95 87.6 29.2 23.2 6.3 21.2 59.1 57.8 53.4 24.5 68.4 89.8 84.7 9 72.8 76 62.5 60.9 0 33.7 9.6 72.2 10.1 17.5 0.2

BANKURA 96 96.3 49.2 20.8 4.7 12.4 74.7 75.7 60.5 0 76.5 93.3 85 12.7 87.3 67.3 47.6 0 28 13 71.3 8.1 23.8 21 0.2

PURBA
BARDDHAMAN 100 99.1 64.2 32.1 3.9 16 72.5 80.5 68.3 0 75 96 97.2 3.3 0 0 54.5 0 0 16.3 23.9 63.7 8.1 21.2 0.1

PASCHIM
BARDDHAMAN 98 95.2 71.5 56.3 3.6 13.7 70.3 70.4 57 0 70.5 89.8 62.4 8.8 81.2 69.7 59.3 0 0 18.4 20.4 49.4 8.5 17.6 1.3

PURBA
MEDINIPUR 99 87.8 69.8 17 4.1 20.6 69.3 56.8 51.6 0 58.1 91.5 88.4 8.9 0 0 59.4 0 0 16.5 27.4 66.4 8.8 18.1 0.2

PASCHIM
MEDINIPUR 99 95.5 58.3 17.5 5.7 23.5 52.6 63.1 64.3 0 80.9 87.6 76.9 6.3 0 0 67.9 0 0 18.9 19.1 62.9 9.3 19.3 0

NORTH TWENTY
PARGANAS 100 99.5 80.4 58.9 1.5 21.9 72.7 89.9 73.3 0 92.4 97.5 92.8 2 0 0 63.2 0 0 6.5 26.4 62.3 9.7 19 0.2

SOUTH TWENTY
FOR PARGANAS 98 100 70.1 36.2 1.7 17.7 77.1 87.5 67.2 0 70.8 91 91.7 4.5 0 0 46.2 73.5 0 9.9 21.2 47.4 7.2 21.5 0
STATE/DISTRICT Birth
registration

PURBA BARDDHAMAN 99.6

NORTH TWENTY 99.6

PARGANAS

MURSHIDABAD 99.4

PURBA MEDINIPUR 99.3

PASCHIM MEDINIPUR 99.3

JALPAIGURI 99.2

BIRBHUM 99.2

NADIA 98.6

DARJEELING 98.4

WEST BENGAL 98.2

UTTAR DINAJPUR 98.2

HUGLI 98.2

HAORA 97.8

DAKSHIN DINAJPUR 97.7

PASCHIM 97.7
BARDDHAMAN

SOUTH TWENTY FOR 97.6

PARGANAS

KOCH BIHAR 97.4

MALDAH 95.9

BANKURA 95.6

PURULIYA 95.3

KOLKATA 95

INTERPRETATION

This data appears to be from the NFHS-5 (National Family Health Survey-5) and shows birth
registration rates , across various districts of West Benga

1. Top-performing districts:

o Purba Barddhaman and North Twenty Parganas top the list with 99.6% birth
registration.
 o Several other districts such as Murshidabad (99.4%), Purba Medinipur (99.3%), and
Paschim Medinipur (99.3%) also show very high performance.

2. West Bengal overall average:

o The state average is 98.2%, which is commendably high, suggesting robust birth
registration mechanisms across the state.

3. Districts below state average:

o Districts such as Malda (95.9%), Bankura (95.6%), Puruliya (95.3%), and Kolkata
(95%) fall below the state average.

o Kolkata’s position is notable, as it is typically expected to perform better due to

urban infrastructure.

4. Lowest birth registration:

o Kolkata (95%) is the lowest in this dataset, which may reflect underreporting in slum
areas or among marginalized groups despite being a metro city.

Improved drinking
STATE/DISTRICT
water
SOUTH TWENTY FOR PARGANAS 100
UTTAR DINAJPUR 99.8
DAKSHIN DINAJPUR 99.7
HAORA 99.5
NORTH TWENTY PARGANAS 99.5
BIRBHUM 99.4
KOCH BIHAR 99.3
KOLKATA 99.3
MURSHIDABAD 99.1
PURBA BARDDHAMAN 99.1
MALDAH 99
NADIA 98.2
HUGLI 98.1
WEST BENGAL 97.5
BANKURA 96.3
PASCHIM MEDINIPUR 95.5
JALPAIGURI 95.2
PASCHIM BARDDHAMAN 95.2
DARJEELING 90.8
PURBA MEDINIPUR 87.8
PURULIYA 87.6

INTERPRETATION

This data from NFHS-5 (National Family Health Survey-5) represents the percentage of households
with access to improved sources of drinking water across districts in West Bengal.
Top-performing districts (≥99%):

 South Twenty Four Parganas leads with 100% coverage — complete access to improved
drinking water.

 Uttar Dinajpur (99.8%), Dakshin Dinajpur (99.7%), Haora (99.5%), North Twenty Parganas
(99.5%), and several others show near-universal access.

Districts below the state average (97.5%):

 Bankura (96.3%), Paschim Medinipur (95.5%), Jalpaiguri (95.2%), Paschim Barddhaman

(95.2%)

 Darjeeling (90.8%), Purba Medinipur (87.8%), and Puruliya (87.6%) stand out for notably
lower access.

Lowest access:

 Puruliya (87.6%) has the lowest percentage, suggesting potential gaps in water
infrastructure or difficult terrain affecting water availability.

STATE/DISTRICT Improved sanitation

DARJEELING 83
NORTH TWENTY PARGANAS 80.4
DAKSHIN DINAJPUR 79
NADIA 78.4
HUGLI 76.2
KOCH BIHAR 75.7
JALPAIGURI 73.2
HAORA 72.9
PASCHIM BARDDHAMAN 71.5
SOUTH TWENTY FOR PARGANAS 70.1
PURBA MEDINIPUR 69.8
MURSHIDABAD 69.7
WEST BENGAL 68
PURBA BARDDHAMAN 64.2
UTTAR DINAJPUR 63.8
MALDAH 62
KOLKATA 60.9
PASCHIM MEDINIPUR 58.3
BIRBHUM 55
BANKURA 49.2
PURULIYA 29.2

INTERPRETATION

This dataset from NFHS-5 (National Family Health Survey-5) provides the percentage of households
with access to improved sanitation facilities across various districts of West Bengal.

Top-performing districts:

 Darjeeling (83%) has the highest improved sanitation coverage, likely due to focused
urban/rural development programs or better awareness.

 Other well-performing districts:

 o North Twenty Parganas (80.4%)

o Dakshin Dinajpur (79%)

o Nadia (78.4%)

o Hugli (76.2%)

These districts exceed both the state average (68%) and national rural average, indicating better
sanitation awareness and infrastructure.

Districts below the state average (68%):

 Include Purba Barddhaman (64.2%), Uttar Dinajpur (63.8%), Maldah (62%), Kolkata
(60.9%), and others.

 Notably, Kolkata, despite being the state capital and an urban center, reports only 60.9%,
possibly due to disparities in sanitation in informal settlements and slums.

Lowest-performing districts:

 Bankura (49.2%), Birbhum (55%), and Puruliya (29.2%) show critical gaps in sanitation
access.

 Puruliya, with just 29.2%, highlights a major concern, suggesting widespread open
defecation, limited infrastructure, and low public investment.

STATE/DISTRICT clean fuel

KOLKATA 91.7
DARJEELING 68.8
HAORA 61.9
NORTH TWENTY PARGANAS 58.9
PASCHIM BARDDHAMAN 56.3
HUGLI 54.6
JALPAIGURI 42.7
WEST BENGAL 40.2
SOUTH TWENTY FOR PARGANAS 36.2
NADIA 34.2
PURBA BARDDHAMAN 32.1
MURSHIDABAD 30.7
MALDAH 29.6
DAKSHIN DINAJPUR 28.7
BIRBHUM 28.1
UTTAR DINAJPUR 27.2
KOCH BIHAR 25.7
PURULIYA 23.2
BANKURA 20.8
PASCHIM MEDINIPUR 17.5
PURBA MEDINIPUR 17

INTERPRITATION:
This dataset from NFHS-5 (National Family Health Survey-5) presents the percentage of households
using clean fuel for cooking in various districts of West Bengal:

Top-performing districts (Above 50%):

 Kolkata (91.7%) stands out significantly, indicating nearly universal access to clean cooking
fuel (like LPG or electricity) — typical of an urban area.

 Darjeeling (68.8%), Haora (61.9%), North Twenty Parganas (58.9%), and Paschim
Barddhaman (56.3%) also show good adoption.

Moderately performing (30–50%):

 Includes Hugli (54.6%), Jalpaiguri (42.7%), South Twenty Four Parganas (36.2%), and Nadia
(34.2%).

 These areas may have urban pockets or semi-urban areas where clean fuels are more
accessible.

Lowest-performing districts (Below 30%):

 Purba Medinipur (17%), Paschim Medinipur (17.5%), Bankura (20.8%), and Puruliya
(23.2%) have alarmingly low access, with a continued reliance on solid fuels like wood,
dung, and crop waste.

 State average (40.2%) is significantly pulled down by rural districts.

unmet need for

STATE/DISTRIC spacing
WEST BENGAL 60.7
PURULIYA 6.3
NADIA 5.9
PASCHIM MEDINIPUR 5.7
BANKURA 4.7
PURBA MEDINIPUR 4.1
PURBA BARDDHAMAN 3.9
PASCHIM BARDDHAMAN 3.6
MALDAH 3.4
UTTAR DINAJPUR 3.3
DARJEELING 2.7
BIRBHUM 2.7
DAKSHIN DINAJPUR 2.6
HUGLI 2.5
KOCH BIHAR 2.3
MURSHIDABAD 1.8
SOUTH TWENTY FOR PARGANAS 1.7
JALPAIGURI 1.6
HAORA 1.6
NORTH TWENTY PARGANAS 1.5
KOLKATA 0.3

INTERPRETATION: The data reflects the proportion of women with an unmet need for spacing births
across districts in West Bengal. Unmet need for spacing refers to the percentage of women who want
to delay or space pregnancies but are not using any method of contraception. At the state level, West
Bengal reports a significantly high value of 60.7%, which appears to be either a cumulative figure or
possibly a data entry error, as it does not align with individual district-level data. The district-wise
figures vary considerably, indicating regional disparities in access to or use of family planning
methods.

Districts with the highest unmet need for spacing include: Puruliya (6.3%), Nadia (5.9%), Paschim
Medinipur (5.7%) These figures suggest that women in these areas may face significant barriers to
accessing contraceptive services or awareness about spacing methods. On the other hand, districts
such as Kolkata (0.3%), North 24 Parganas (1.5%), and Howrah (1.6%) report very low unmet needs.
These are largely urban or semi-urban districts, where better access to healthcare services and
higher literacy rates may contribute to more effective use of family planning.

Overall, the data indicates a rural-urban divide, with unmet need generally higher in more rural and
underdeveloped districts. This highlights the importance of targeted interventions in rural regions,
especially in districts like Puruliya and Nadia, to improve awareness, availability, and accessibility of
family planning resources.
health worker talk to
STATE/DISTRIC female non user
about FP
WEST BENGAL 29.4
PASCHIM MEDINIPUR 23.5
NORTH TWENTY PARGANAS 21.9
BIRBHUM 21.6
PURULIYA 21.2
NADIA 20.9
PURBA MEDINIPUR 20.6
HAORA 20.5
MALDAH 18.9
KOCH BIHAR 18.3
KOLKATA 17.9
SOUTH TWENTY FOR PARGANAS 17.7
DAKSHIN DINAJPUR 16
PURBA BARDDHAMAN 16
JALPAIGURI 15.1
PASCHIM BARDDHAMAN 13.7
HUGLI 13.3
BANKURA 12.4
DARJEELING 11.8
UTTAR DINAJPUR 10.3
MURSHIDABAD 6.4

INTERPRETATION: The data shows the percentage of female non-users of family planning (FP) who
were contacted by a health worker in various districts of West Bengal. This metric reflects the
effectiveness of community-level engagement in promoting family planning. At the state level, 29.4%
of female non-users were contacted by a health worker. This suggests a moderate level of outreach,
indicating room for improvement in health communication and mobilization, especially in areas with
low coverage.

The Best-Performing Districts, Paschim Medinipur (23.5%), North 24 Parganas (21.9%), Birbhum
(21.6%), Puruliya (21.2%) and Nadia (20.9%). These districts have outreach rates above 20%,
indicating relatively proactive engagement by health workers in discussing family planning with
women who are not currently using contraception. Poor Performing Districts are Murshidabad
(6.4%), Uttar Dinajpur (10.3%), Darjeeling (11.8%), Bankura (12.4%) and Hugli (13.3%). These districts
show alarmingly low levels of interaction, which may contribute to low family planning adoption due
to a lack of awareness, misconceptions or limited-service delivery.

Urban vs Rural Divide, Interestingly, urban districts like Kolkata (17.9%) and Howrah (20.5%) do not
lead in outreach, possibly due to reliance on institutional services over community health workers,
highlighting the need to adapt outreach strategies for urban settings as well. The data reveals gaps
and regional disparities in health worker engagement across West Bengal. Strengthening the network
of Accredited Social Health Activists (ASHAs) and Auxiliary Nurse Midwives (ANMs), especially in
poorly performing districts, is crucial to ensure that all women, especially in rural and underserved
areas, receive timely and adequate information about family planning options.

antinatal checkup
STATE/DISTRIC
with in first trimester
DARJEELING 85
HAORA 84.8
BIRBHUM 81.9
MALDAH 77.8
JALPAIGURI 77.5
SOUTH TWENTY FOR PARGANAS 77.1
UTTAR DINAJPUR 76.6
HUGLI 76
BANKURA 74.7
KOLKATA 74.2
MURSHIDABAD 73.9
NORTH TWENTY PARGANAS 72.7
PURBA BARDDHAMAN 72.5
KOCH BIHAR 71.3
DAKSHIN DINAJPUR 70.9
PASCHIM BARDDHAMAN 70.3
PURBA MEDINIPUR 69.3
NADIA 61.1
PURULIYA 59.1
PASCHIM MEDINIPUR 52.6
WEST BENGAL 2.2

INTERPRETATION:

Antenatal checkup (ANC) is vital for ensuring the health and well-being of both mother and child.
This dataset shows the percentage of pregnant women who received ANC within the first trimester
across districts in West Bengal.

Strong Performers found in several districts demonstrate high rates of early ANC, suggesting good
awareness, access, and utilization of maternal healthcare services i.e. Darjeeling (85%), Howrah
(84.8%), Birbhum (81.9%), Malda (77.8%) and Jalpaiguri (77.5%) These districts likely benefit from
more effective health worker engagement, better infrastructure, or higher maternal health
awareness.

Moderate Performers found in most districts fall within the 70–77% range, which indicates
reasonable access to early ANC, though with scope for improvement. Examples include:
Murshidabad (73.9%), North 24 Parganas (72.7%), Cooch Behar (71.3%) and Paschim Bardhaman
(70.3%).

Low Performers found in some of districts report significantly lower early ANC coverage, pointing to
potential issues in service delivery, awareness, or accessibility: Nadia (61.1%), Puruliya (59.1%) and
Paschim Medinipur (52.6%). These areas may require targeted interventions to improve maternal
outreach, transportation, and health education.
 State-Level Anomaly The reported state average for West Bengal is 2.2%, which is likely an error or
misreported figure, as all districts individually report much higher rates (above 50%). This needs
verification.

While many districts in West Bengal are performing well in ensuring early antenatal care, significant
disparities remain. Focused efforts are needed in low-performing districts like Puruliya and Paschim
Medinipur. Strengthening health infrastructure, community health worker outreach, and maternal
health education can help bridge these gaps and improve maternal and neonatal outcomes.

STATE/DISTRIC atleast 4 antinatal visit

NORTH TWENTY PARGANAS 89.9

JALPAIGURI 88.4
SOUTH TWENTY FOR PARGANAS 87.5
MALDAH 82.8
HAORA 82.7
PURBA BARDDHAMAN 80.5
DARJEELING 79.2
BIRBHUM 78.4
KOCH BIHAR 77.3
DAKSHIN DINAJPUR 76.4
BANKURA 75.7
HUGLI 72.2
KOLKATA 71.7
NADIA 71.2
PASCHIM BARDDHAMAN 70.4
UTTAR DINAJPUR 70.1
MURSHIDABAD 66.9
PASCHIM MEDINIPUR 63.1
PURULIYA 57.8
PURBA MEDINIPUR 56.8
WEST BENGAL 20.3

INTERPRETATION: The data reflects the percentage of pregnant women who received at least four
antenatal care (ANC) visits, as recommended by WHO to ensure proper monitoring and support
during pregnancy. This is a key indicator of maternal healthcare access and quality.

High-Performing Districts is found in several districts show very strong performance, indicating
effective health systems and strong outreach: North 24 Parganas (89.9%), Jalpaiguri (88.4%), South
24 Parganas (87.5%), Malda (82.8%) and Howrah (82.7%). These districts likely have better health
infrastructure, stronger community health worker engagement, and higher awareness among
women.

Moderately Performing Districts showing a large number of districts fall within the 70–80% range,
suggesting decent ANC coverage but with potential for improvement: Darjeeling (79.2%), Birbhum
(78.4%), Cooch Behar (77.3%), Dakshin Dinajpur (76.4%), Bankura (75.7%) and Kolkata (71.7%).
These figures are promising but highlight a need for focused efforts to reach the remaining 20–30%
of pregnant women.

Low-Performing Districts found in some districts fall significantly below the state’s general
performance level: Purba Medinipur (56.8%), Purulia (57.8%), Paschim Medinipur (63.1%) and
Murshidabad (66.9%). These areas may face challenges such as limited healthcare access, poor
transportation, or low community awareness, which hinder consistent ANC attendance.
West Bengal (20.3%) — This figure is inconsistent with district-level data and likely represents a data
entry or reporting error. Most districts show rates above 70%, so the actual state average is almost
certainly much higher.

STATE/DISTRIC iron folic acid 100+

DAKSHIN DINAJPUR 76.2
NORTH TWENTY PARGANAS 73.3
JALPAIGURI 70.7
HAORA 69.2
PURBA BARDDHAMAN 68.3
HUGLI 68.1
KOLKATA 67.5
SOUTH TWENTY FOR PARGANAS 67.2
PASCHIM MEDINIPUR 64.3
DARJEELING 62.2
BANKURA 60.5
UTTAR DINAJPUR 59.3
KOCH BIHAR 58.8
MALDAH 58.8
NADIA 57.9
PASCHIM BARDDHAMAN 57
PURULIYA 53.4
MURSHIDABAD 52.8
PURBA MEDINIPUR 51.6
BIRBHUM 51.5
WEST BENGAL 0.7
Iron and folic acid supplementation during pregnancy is critical for preventing maternal anemia and
ensuring healthy fetal growth. The recommended intake is at least 100 tablets, and this indicator
reflects the percentage of pregnant women who met that standard.

High-Performing Districts are showing the strong compliance, with more than 70% of pregnant
women consuming the recommended amount: Dakshin Dinajpur (76.2%), North 24 Parganas (73.3%)
and Jalpaiguri (70.7%). These figures suggest effective distribution of IFA tablets, strong health
system outreach, and likely better counseling during antenatal visits.

Moderately Performing Districts are fall in the 60–69% range, showing moderate IFA compliance:
Howrah (69.2%), Purba Bardhaman (68.3%), Hooghly (68.1%), Kolkata (67.5%), South 24 Parganas
(67.2%), Paschim Medinipur (64.3%), Darjeeling (62.2%) and Bankura (60.5%). These areas are doing
reasonably well but still have a significant proportion of women who are not meeting the IFA intake
recommendation.

In Low-Performing Districts, A number of districts report less than 60% compliance, which is
concerning: Uttar Dinajpur (59.3%), Malda (58.8%), Cooch Behar (58.8%), Nadia (57.9%), Purulia
(53.4%), Murshidabad (52.8%), Purba Medinipur (51.6%) and Birbhum (51.5%). These areas may be
facing challenges related to supply, distribution, follow-up, or awareness. Targeted efforts are needed
to improve IFA tablet intake in these districts.

West Bengal (0.7%) — This figure is clearly incorrect or a reporting error, as all districts show much
higher percentages. It should be reviewed or corrected for accurate state-level analysis.

While some districts in West Bengal are performing well in ensuring IFA compliance during
pregnancy, many still fall below the ideal threshold. Strengthening supply chains, ensuring consistent
follow-up by health workers, and increasing awareness through community engagement are crucial
steps to improve maternal nutrition and health outcomes.

children with post

STATE/DISTRIC natal care within 2
day o delivary
NORTH TWENTY PARGANAS 92.4
NADIA 89.9
DAKSHIN DINAJPUR 89.1
DARJEELING 84.7
KOLKATA 84.6
JALPAIGURI 82.5
BIRBHUM 81.7
PASCHIM MEDINIPUR 80.9
HAORA 79.8
KOCH BIHAR 79.7
HUGLI 76.7
BANKURA 76.5
WEST BENGAL 75.8
PURBA BARDDHAMAN 75
SOUTH TWENTY FOR PARGANAS 70.8
PASCHIM BARDDHAMAN 70.5
UTTAR DINAJPUR 69.4
PURULIYA 68.4
MALDAH 67.9
MURSHIDABAD 67.6
PURBA MEDINIPUR 58.1

INTERPRETATION:
Timely postnatal care within 48 hours of birth is essential for ensuring newborn survival and
detecting early complications. This indicator reflects how effectively health systems are reaching
newborns immediately after delivery.

High-Performing Districts show excellent PNC coverage, indicating strong institutional delivery rates
and effective follow-up systems: North 24 Parganas (92.4%), Nadia (89.9%), Dakshin Dinajpur
(89.1%), Darjeeling (84.7%) and Kolkata (84.6%). These figures suggest that in these areas health
facilities and community health workers are actively ensuring early postnatal assessments.

Moderately Performing Districts report coverage between 75% and 84%, indicating fairly good access
to postnatal services but with room for improvement: Jalpaiguri (82.5%), Birbhum (81.7%), Paschim
Medinipur (80.9%), Howrah (79.8%), Cooch Behar (79.7%), Hooghly (76.7%), Bankura (76.5%) and
Purba Bardhaman (75.0%)

West Bengal (75.8%) (state average aligns well with the moderate performance range)

Low-Performing Districts show significantly lower postnatal coverage, raising concerns about service
reach or community-level barriers: South 24 Parganas (70.8%), Paschim Bardhaman (70.5%), Uttar
Dinajpur (69.4%), Puruliya (68.4%), Malda (67.9%), Murshidabad (67.6%) and Purba Medinipur
(58.1%). These districts may face issues such as inadequate health worker availability, poor
transportation, or lack of awareness among families regarding the importance of early newborn care.

While several districts in West Bengal have achieved high rates of early postnatal care, others lag
behind, particularly in Purba Medinipur and some northern districts. Targeted interventions,
including strengthening community-based follow-up and improving health education, are necessary
to ensure universal early postnatal coverage and reduce neonatal morbidity and mortality.
STATE/DISTRICT institutional birth
DARJEELING 98.4
NADIA 97.7
KOLKATA 97.5
NORTH TWENTY PARGANAS 97.5
HUGLI 97
PURBA BARDDHAMAN 96
JALPAIGURI 95.8
HAORA 95.5
WEST BENGAL 94.6
BANKURA 93.3
KOCH BIHAR 93
PURBA MEDINIPUR 91.5
DAKSHIN DINAJPUR 91.4
SOUTH TWENTY FOR PARGANAS 91
BIRBHUM 90.3
PURULIYA 89.8
PASCHIM BARDDHAMAN 89.8
MALDAH 87.7
PASCHIM MEDINIPUR 87.6
MURSHIDABAD 87
UTTAR DINAJPUR 76.9

Interpretation:

The provided bar graph presents institutional birth rates across various districts of West Bengal,
India. Institutional births, defined as births occurring within a healthcare facility like a hospital or
clinic, are a crucial indicator of maternal healthcare access and quality, directly impacting both
maternal and child health outcomes. The data reveals significant variations across districts, offering
insights into the strengths and weaknesses of the healthcare system within the state.

Darjeeling exhibits the highest institutional birth rate at 98.4%, closely followed by Nadia (97.7%),
Kolkata and North Twenty Parganas (both 97.5%), and Hugli (97%). Uttar Dinajpur lags significantly
behind, with an institutional birth rate of only 76.9%. Murshidabad (87%), Paschim Medinipur
(87.6%), and Maldah (87.7%) also fall noticeably below the state average, West Bengal, as a whole,
has an institutional birth rate of 94.6%. The wide range in values, from 76.9% to 98.4%, highlights the
uneven distribution of resources, healthcare access, and awareness levels within the state.

The data presented underscores the importance of monitoring institutional birth rates as a key
indicator of maternal healthcare access and quality. While West Bengal has made significant strides
in promoting institutional deliveries, the existing disparities necessitate a targeted and multi-faceted
approach to address the underlying challenges and ensure that all pregnant women have access to
safe and quality childbirth services. A focused strategy targeted at the low-performing districts,
particularly Uttar Dinajpur, is essential to reduce maternal and infant mortality and improve the
overall health and well-being of the population. Continuous monitoring and evaluation of
interventions are also crucial to assess their effectiveness and make necessary adjustments.

vaccination within 12-

STATE/DISTRICT
23 months with card
PURULIYA 97.2
BANKURA 95.4
NADIA 94.2
NORTH TWENTY PARGANAS 94.2
MURSHIDABAD 92.8
PURBA BARDDHAMAN 92.6
UTTAR DINAJPUR 91.7
HAORA 90
KOCH BIHAR 89.9
MALDAH 88.4
KOLKATA 87.9
DAKSHIN DINAJPUR 87.8
JALPAIGURI 87.2
BIRBHUM 85
SOUTH TWENTY FOR PARGANAS 84.7
HUGLI 84.4
WEST BENGAL 81.6
PURBA MEDINIPUR 80.2
PASCHIM MEDINIPUR 76.9
DARJEELING 76.8
PASCHIM BARDDHAMAN 62.4

Interpretation:

The bar graph illustrates the vaccination coverage among children aged 12-23 months in various
districts of West Bengal, India. The data focuses specifically on children who have received
vaccinations and possess a vaccination card, crucial for tracking immunization status and ensuring
adherence to the recommended vaccination schedule. Analyzing this data provides insights into the
effectiveness of immunization programs and identifies areas needing targeted interventions.
Puruliya leads with a vaccination rate of 97.2%, followed by Bankura (95.4%), Nadia, and North
Twenty Parganas (both 94.2%). Paschim Bardhhaman presents the lowest coverage at 62.4%,
significantly lagging behind the state average. Darjeeling (76.8%) and Paschim Medinipur (76.9%)
also fall below 80%, highlighting potential challenges in these regions. West Bengal exhibits an
average vaccination rate of 81.6%. While this indicates a considerable effort towards immunization,
the variations across districts suggest that progress is unevenly distributed. The large range in values,
from 62.4% to 97.2%, underscores the unequal access to, or utilization of, vaccination services across
the districts.

The data on vaccination coverage with a card provides valuable insights into the strengths and
weaknesses of immunization programs in West Bengal. While some districts exhibit high levels of
coverage, significant disparities persist. Addressing these inequalities through targeted interventions,
community engagement, and improved access to healthcare services is crucial to ensure that all
children receive the life-saving protection offered by vaccines, leading to improved public health
outcomes and reduced child mortality. Emphasizing complete and accurate record-keeping is also
vital for effective monitoring and program management.

prevalance of
STATE/DISTRICT
diarrhoea
PURULIYA 95
BANKURA 12.7
NADIA 11.2
NORTH TWENTY PARGANAS 9.5
MURSHIDABAD 9
PURBA BARDDHAMAN 8.9
UTTAR DINAJPUR 8.8
HAORA 7.9
KOCH BIHAR 7.8
MALDAH 6.6
KOLKATA 6.6
DAKSHIN DINAJPUR 6.3
JALPAIGURI 5.9
BIRBHUM 5.6
SOUTH TWENTY FOR PARGANAS 5.5
HUGLI 4.5
WEST BENGAL 4.5
PURBA MEDINIPUR 4.3
PASCHIM MEDINIPUR 3.3
DARJEELING 2.7
PASCHIM BARDDHAMAN 2

Interpretation:

The bar graph illustrates the prevalence of diarrhoea in the two weeks preceding the data collection
across different districts of West Bengal, India. Diarrhoea is a significant public health concern,
particularly in children, and its prevalence is often indicative of sanitation levels, access to clean
water, and hygiene practices within a community. Analyzing this data helps identify areas requiring
urgent intervention to reduce the burden of diarrhoeal diseases.

Puruliya exhibits an exceptionally high diarrhoea prevalence of 95%, far exceeding all other districts.
Bankura (12.7%) and Nadia (11.2%) also show considerably higher prevalence rates compared to
most other districts, suggesting significant challenges in water sanitation and hygiene (WASH)
practices in these areas While a specific Paschim Barddhaman (2%) and Darjeeling (2.7%)
demonstrate relatively low diarrhoea prevalence, indicating better sanitation and hygiene conditions
compared to the rest of the state. While a specific state average wasn't provided, a state average of
4.5%.

The data underscores the urgent need for targeted interventions to reduce diarrhoea prevalence in
West Bengal, particularly in Puruliya, Bankura, and Nadia. Addressing the underlying challenges
related to WASH practices, socioeconomic conditions, and healthcare access is essential to prevent
diarrhoeal diseases and impro e the health and well-being of the population. A comprehensive
approach involving government agencies, healthcare providers, community organizations, and local
communities is needed to achieve sustainable reductions in diarrhoea prevalence and protect
vulnerable populations. Immediate action in Puruliya is critical to prevent further morbidity and
mortality. Furthermore, the state should invest in robust surveillance systems to detect and respond
to future outbreaks promptly.

STATE/DISTRIC ORS during diarrhoea

WEST BENGAL 94.4

BANKURA 87.3
PASCHIM BARDDHAMAN 81.2
PURULIYA 72.8
MURSHIDABAD 71.5
BIRBHUM 68.1
UTTAR DINAJPUR 64.9
DARJEELING 0
JALPAIGURI 0
KOCH BIHAR 0
DAKSHIN DINAJPUR 0
MALDAH 0
HUGLI 0
NADIA 0
KOLKATA 0
HAORA 0
PURBA BARDDHAMAN 0
PURBA MEDINIPUR 0
PASCHIM MEDINIPUR 0
NORTH TWENTY PARGANAS 0
SOUTH TWENTY FOR PARGANAS 0
 Treatment of children
STATE/DISTRIC
with diarrhoea

MURSHIDABAD 90.6
UTTAR DINAJPUR 82.5
PURULIYA 76
BIRBHUM 74.7
PASCHIM BARDDHAMAN 69.7
BANKURA 67.3
WEST BENGAL 1.8
DARJEELING 0
JALPAIGURI 0
KOCH BIHAR 0
DAKSHIN DINAJPUR 0
MALDAH 0
HUGLI 0
NADIA 0
KOLKATA 0
HAORA 0
PURBA BARDDHAMAN 0
PURBA MEDINIPUR 0
PASCHIM MEDINIPUR 0
NORTH TWENTY PARGANAS 0
SOUTH TWENTY FOR PARGANAS 0
 children under 3 yr
STATE/DISTRIC breasfeed within 1 hr
of birth
WEST BENGAL 96.3
DARJEELING 54.3
JALPAIGURI 61.3
KOCH BIHAR 56.5
UTTAR DINAJPUR 60.2
DAKSHIN DINAJPUR 70.5
MALDAH 52.5
MURSHIDABAD 57.9
BIRBHUM 72
HUGLI 69.5
NADIA 71.8
KOLKATA 44.2
HAORA 58.4
PURULIYA 62.5
BANKURA 47.6
PURBA BARDDHAMAN 54.5
PASCHIM BARDDHAMAN 59.3
PURBA MEDINIPUR 59.4
PASCHIM MEDINIPUR 67.9
NORTH TWENTY PARGANAS 63.2
SOUTH TWENTY FOR PARGANAS 46.2