INDEX
• Introduction toFamily Adoption Program
• Aims, Objectives and Goals of the Program
• Methodology
• Village Mapping
• Other Programs
4.
INTRODUCTION
• The NationalMedical Commission (NMC) envisages the Family
Adoption Program (FAP) as an opportunity for the Institute to
discharge its social responsibility and as a critical platform to
facilitate authentic learning of the under-graduate students to
sensitize them with the real-life challenges of working for the
Universal Health Coverage (UHC).
From: CBME curriculum 2024: Annexure 12
5.
AIM
• The FamilyAdoption Program aims to provide an experiential
learning opportunity to Indian Medical Graduates towards
community bases health care and thereby enhance equity in
health.
From: Family Adoption Program Log Book
6.
OBJECTIVES
• Orient thelearner towards primary health care.
• Create health-related awareness within the community
• Function as the first point of contact for any health issues
within the community
• Act as a conduit between the population and relevant health
care facility
• Generate and analyze related data for improving health
outcomes and Evidence-based clinical practices
From: Family Adoption Program Log Book
7.
GOALS OF THEPROGRAM
• Goal of Phase 1:
1. Build rapport and connect with the families.
2. Learn communication skills and inspire trust building amongst families.
3. Understand the dynamics of community set-up of that region.
4. Mobilize families for participation in Screening programs.
5. Undertake detailed family study and prepare the family diagnosis to
identify diseases / ill-health / malnutrition of allotted families / risk
factors / scope for health promotion.
6. Formulate objectives to be achieved for each family.
From: CBME curriculum 2024: Annexure 12
8.
• Goals forPhase 2:
1. Continue active involvement to become the first doctor / reference point of
the family by continued active interaction.
2. Ensure follow-up of members from adopted families for vaccination, growth
monitoring and promotion, menstrual hygiene, IFA prophylaxis, health lifestyle
adoption, nutrition, vector control measures, compliance to medications, etc.
3. Work collaboratively with adopted families to achieve the formulated
objectives.
4. Inform families about ongoing government sponsored health related
programs.
5. Ensure appropriate referral of family members considering their choice for
additional or annual screening at higher health facilities.
From: CBME curriculum 2024: Annexure 12
9.
• Future Goals:
1.Work collaboratively with adopted families to achieve the formulated objectives.
2. Observation of services delivered at the community level during Village Health
Nutrition Days (VHND), Community-based events (CBEs), Health and Wellness
Centers (HWC) camps under the different national health program .
3. Build understanding regarding work of frontline workers (ANM, ASHA / USHA,
AWW, MPW) through interaction.
4. Build understanding around intersectoral action for health through Local self-
governing bodies, NGOs, SHGs, etc. for health promotion.
5. Undertake short term action projects for improving health in the adopted families
or community.
6. Analysis of their own involvement and impact on improving the health conditions
in the adopted families.
From: CBME curriculum 2024: Annexure 12
METHODOLOGY
• Data wascollected in Shanmugapuram area, under the guidance of
PG and faculties who were in charge of various groups of students.
• Students were divided into 2 groups (A and B), with 90 people in
each group.
• Students were further divided into groups with 2 students each.
• 3-5 houses were assigned per group, students went door to door to
collect details of each member of the family.
• When one group went for data collection, the other group was
briefed about the other sections.
12.
• Participating householdsincluded families that consented to data
collection and would be available during the course of the
program.
• People unwilling to participate in the program and houses which
were found locked for more than two consecutive visits are
excluded from the data.
• All participating households were assigned unique household
numbers for identification and data was collected from them.
• A village map was also prepared where the geographical
distribution of various streets were identified.
13.
DATA COLLECTION
• Studentsintroduced themselves to the family members present at the
time of the visit.
• Purpose of the program and the collected data was explained to the
members.
• Informed oral consent was received from the Head of Family or any
other reliable adult present.
Following are thedates when batch A went for visits:
• Visit 1: 27/01/2024 – Section 1 Details: Identification Data, Basic
Demographic Data
• Visit 2: 30/03/2024 – Section 2 Details: Environmental Sanitation,
Healthcare Utilization and Nutrition, Vulnerability Scoring
• Visit 3: 21/06/2024 – Section 3 Details: Survey of Individual
Household Members
26/10/2024: Epicollect Data Entry
16.
VISIT 1: Identification&
Basic demographic data
• Details of members and the
family
• Ration card
• Socioeconomic status
according to Modified
Kuppuswamy’s Scale
• Details of eligible couple,
children aged 0-5, births and
deaths in last one year
17.
VISIT 2: EnvironmentalSanitation, Healthcare
Utilization and Nutrition, Vulnerability Scoring
• Housing
• Water sources and storage
• Sanitation
• Domestic hazards
• Details related to pets
• Immediate surroundings
• Healthcare utilization
• Nutrition
18.
Types of HousesLighting and Ventilation Water Source and Storage
VISIT 3: Surveyof Individual
Household Members
• Details of each family member
• Assessment of Children aged 0-5
• Assessment of Children aged 6-10
• Assessment of Adolescents aged 11-18
• Assessment of Adults aged 19-59
• Assessment of Adults aged 60 and
above
• Assessment of Antenatal / Postnatal
Women
VILLAGE MAPPING
• Villagemapping is a method used for understanding the
geographical, social, and economic characteristics of rural or
small communities.
• It could involve using various tools like geographic
information systems (GIS), surveys, and community
participation to create a comprehensive map that captures
details about land use, infrastructure, resources, and
population distribution.
24.
STEPS INVOLVED INMAPPING
1.Preparation and Planning
2.Community Engagement and Data Gathering
3.Field Mapping and Surveying
4.Data Analysis and Visualization
5.Community Validation and Feedback
6.Planning and Decision-making
7.Monitoring and Updates
Section 1a
SOCIODEMOGRAPHIC DETAILS
Group7
-Harini S
-Hari Pranav M N
-Hariram G B
-Harish Ragavendar L
-Harish V
-Hari Vignesh S
-Hema Chandhar M
43
44
45
46
47
48
49
36.
SURVEYED POPULATION:
Surveyedarea - Shanmugapuram
Total no of households surveyed = 143
Total no of individuals surveyed = 501
No of males = 243
No of females = 258
37.
AGE DISTRIBUTION OFTHE SURVEYED POPULATION OF SHANMUGAPURAM (N = 501)
AGE GROUP MALE FEMALE TOTAL(n=501) PERCENTAGE
0 to 5 11 12 23 4.5%
6 to 10 16 11 27 5.3%
11 to 18 27 27 54 10.7%
19-60 147 166 313 62.8%
Above 60
41 43 84 16.7%
Reproductive
age group (15
to 45 female)
126
TOTAL 243 258 501 100%
38.
GENDER DISTRIBUTION OFTHE SURVEYED POPULATION OF
SHANMUGAPURAM (N = 501)
51%
49% Female
Male
SEX COUNT PERCENTAGE
MALE 243 49%
FEMALE 258 51%
COMPARISON OF AGEPYRAMID OF THE SURVEYED POPULATION OF SHANMUGAPURAM
(N=501) WITH PUDUCHERRY AND INDIA
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-90
15.0 10.0 5.0 0.0 5.0 10.0
4.26
1.94
6.98
7.75
9.69
6.20
9.30
5.43
8.91
8.53
6.98
5.43
7.75
5.81
1.94
1.55
0.78
0.78
3.3
7.8
4.9
8.2
8.6
5.3
8.2
2.9
8.6
7.8
7.8
7.8
5.3
7.0
4.1
1.6
0.4
0.0
%f %m
SHANMUGAPURAM INDIA
PUDUCHERRY
41.
INTERPRETATION
• Age pyramidof surveyed area is spindle in shape, while that of India is
bell shaped
• A spindle-shaped age pyramid represents a population with a low
birth rate and low death rate, compared to India’s with high birth rate,
and high/moderate death rate
• It is a symmetrical pyramid and hence the sex ratio is good
42.
DEPENDENCY RATIO
• Dependencyrate = children[0 to 14 years]+ population more than and
equal to 65 years of age) / population of 15 to 64 years *100
• Dependency ratio= 133/368*100
= 36.14%
43.
COMPARISON OF THETOTAL DEPENDENCY RATIO OF SURVEYED POPULATION TO
INDIA
INFERENCE: the total dependency ratio of the surveyed area is 36.14% which
is lower than that of the national average which is 47.50%
SURVEYED AREA INDIA
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
50.00%
36.14%
47.50%
44.
INTERPRETATION
Dependency ratio ofthe surveyed population of Shanmugapuram is lower than that of India indicating –
1. Working age population is higher.
2. Less demographic burden on working age population
3. Lesser general fertility rate in the surveyed area compared to that of India
4. Increased migration of the working age group to urban areas, increasing proportion of working age group(15- 64),
while decreasing proportion of dependent age group.
Other reasons for lower dependency ratio in the surveyed population compared to that of India are
1. More localized results, which may not reflect broader trends.
2. Urban areas have lower dependency ratio due to lesser General fertility rate compared to that of rural areas
45.
• Young agedependency ratio = Children [0 to 14 years]/population of 15 to 64
years *100
• Young age dependency ratio = 73/368*100
=19.83%
YOUNG AGE DEPENDENCY RATIO
46.
COMPARISON OF THEYOUNG AGE DEPENDENCY RATIO OF SURVEYED POPULATION TO
INDIA
SURVEYED POPULATION INDIA
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
19.83%
38.30%
Source: World
Bank staff
estimates based on
age distributions of
United Nations
Population
Division's World
Population
Prospects: 2024
Revision.
RESULT: the young dependency ratio of the surveyed are is 19.83% which is lower than
that of the national average which is 38.30%
47.
INTERPRETATION
Young age dependencyratio is lower than that of India due to
smaller young age population in the surveyed area compared to that of India’s
Indicating:
1. Declining birth rate/ fertility rate due to urbanization and access to family planning.
2. Migration of Working-Age Population – Many young adults migrate to urban areas for work,
increasing the proportion of the working-age population (15-64 years), while decreasing proportion
of young age group(0-14 years).
48.
Old age dependencyratio = population more than and equal to 65 years of
age) / population of 15 to 64 years *100
Old age dependency ratio = 60/368*100
=16.3%
OLD AGE DEPENDENCY RATIO
49.
COMPARISON OF THEOLD AGE DEPENDENCY RATIO OF SURVEYED
POPULATION TO INDIA
SURVEYED POPULATION INDIA
0.00%
2.00%
4.00%
6.00%
8.00%
10.00%
12.00%
14.00%
16.00%
18.00%
16.30%
9.80%
Source: World Bank
staff estimates based
on age distributions
of United Nations
Population Division's
World Population
Prospects: 2024
Revision.
RESULT: the old age dependency ratio of the surveyed are is 16.30% which is greater
than that of the national average which is 9.8%
50.
INTERPRETATION
Old age dependencyratio in the surveyed population is higher than that of India’s due to larger
proportion of old age population in the surveyed population compared to that of India’s
Indicating:
1. Increased life expectancy and decreased mortality rate in the surveyed population due to
improved health care services
2. Declining Fertility Rates: Urban areas have lesser fertility rate, reducing the proportion of the
younger population(0-14 years), while increasing the proportion of the elderly(65+ years).
3. Higher “ demographic burden “- smaller working population providing for large retired population,
increased pressure on pensions and healthcare
51.
SEX RATIO
Sexratio =No of females/ no of males *1000
=258/243 * 1000
=1062 females per 1000 males
52.
COMPARISON OF SEXRATIO OF THE SURVEYED POPULATION OF SHANMUGAPURAM TO
PUDUCHERRY AND INDIA
INDIA PUDUCHERRY SHANMUGAPURAM
850
900
950
1000
1050
1100
940
1037
1062
INFERENCE: the sex ratio of the surveyed area is 1062 females per 1000 males
which is greater than state(1037 females per 1000 males) and national
average(940 females per 1000 males)
SOURCE: CENCUS
OF INDIA 2011
53.
INTERPRETATION
Higher sex ratioin the surveyed population of shanmugapuram compared to that of India’s indicates
1. Higher life expectancy for women.
2. Improved maternal healthcare
3. reduced female foeticide and infanticide
4. Govt policies promoting women health
Implication of high female population:
1. Gender balanced society with equal opportunities
2. Increased women’s participation in workforce.
54.
POPULATION COMPARISON (N=478)
S.NOGENDER NO OF PEOPLE PUDUCHERRY INDIA
1 MALE 243 6,12,511(49%) 62,31,21,823(51.4%)
2 FEMALE 258 6,35,442(50.9%) 58,74,47,730(48.6%)
3 TOTAL 501 12,47,953(100%) 1,21,05,69,573(100%)
SOURCE: CENCUS
OF INDIA 2011
55.
PERCENTAGE DISTRIBUTION OFFAMILY BASED ON RELIGION IN THE SURVEYED POPULATION
OF SHANMUGAPURAM(N=143)
3%
96%
1%
Christian
Hindu
Muslim
(blank)
RELIGION COUNT PERCENTAGE
HINDU 137 96%
CHRISTIAN 4 3%
MUSLIM 2 1%
TOTAL 143 100%
56.
PERCENTAGE DISTRIBUTION OFFAMILIES BASED ON MIGRATION IN THE SURVEYED
POPULATION OF SHANMUGAPURAM(N=143)
116; 81%
27; 19%
NON MIGRANTS
MIGRANTS
ORIGIN COUNT PERCENTAGE
NON -
MIGRANTS
116 81%
MIGRANTS 27 19%
57.
INTERPRETATION
Higher non migrantpopulation in the surveyed population indicates
1. Stable population in that area
2. Lower Immigration/Outmigration Rates – The region may not attract many migrants due to factors
like economic conditions, job availability, or social policies, or the local population may have strong
ties that discourage movement.
3. Availability of healthcare, affordable housing and education services reducing need to migrate
58.
Mean duration ofstay in the area
DURATION OF STAY NO OF HOUSEHOLDS PERCENTAGE
<1 YEAR 3 2.1%
1-5 YEARS 22 15.3%
6-10 YEARS 12 8.3%
>10 YEARS 106 74.1%
TOTAL 143 100%
59.
DURATION OF STAYOF THE POPULATION IN THE SURVEYED AREA (N= 143)
<1 YEAR 1-5 YEARS 6-10 YEARS >10 YEARS
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
2.10%
15.38%
8.39%
74.13% DURATION OF
STAY
NO OF
HOUSEHOLDS
PERCENTAGE
<1 YEAR 3 2.1%
1-5 YEARS 22 15.3%
6-10 YEARS 12 8.3%
>10 YEARS 106 74.1%
TOTAL 143 100%
60.
INTERPRETATION
Larger proportion ofpeople in the surveyed area staying more than 10 years of
stay indicating,
1. Stable population
2. Lower Immigration/Outmigration Rates
3. Good housing, healthcare and living conditions
61.
MARITAL AGE OFTHE SURVEYED POPULATION ABOVE 18 YEARS OF AGE (N=405)
289; 71%
87; 21%
29; 7%
Married
Single
Widow
(blank)
MARITAL
STATUS
FREQUENCY %
MARRIED 289 71%
SINGLE 87 22%
WIDOW 29 7%
TOTAL 405 100%
62.
LITERACY RATE OFTHE PEOPLE SURVEYED IN SHANUGAPURAM
Education No of
persons
Percenta
ge
Literate 434 92.7%
Illiterate 34 7.3%
Total (>7 years) 468 100 %
93%
7%
literate
illiterate
63.
EDUCATIONAL QUALIFICATION OFLITERATES
S.NO EDUCATION(GRADE) NO OF PERSON PERCENTAGE
1 PRIMARY 47 11%
2 MIDDLE SCHOOL 62 14%
3 HIGH SCHOOL 70 16%
4 HIGHER SECONDARY 97 22%
5 UNDER GRADUATE 113 26%
6 POST GRADUATE 45 10%
TOTAL 434 100%
64.
CRUDE LITERACY RATE
•Crude literacy rate = (no of literate people/total population) *100
= 434/501 *100
= 86.62%
65.
COMPARISON OF CRUDELITERACY RATE OF SURVEYED POPULATION WITH INDIA AND
PUDUCHERRY
INDIA PUDUCHERRY SHANMUGAPURAM
65.00%
70.00%
75.00%
80.00%
85.00%
90.00%
72.99%
85.85%
86.62%
SOURCE: CENCUS
OF INDIA 2011
INFERENCE: the crude literacy rate of the surveyed area is 86.62%, which is
greater than that of the state (85.85%) and the national average (72.99%)
66.
Effective literacy rate= (no. of literate people aged 7 and above/
(population aged 7 and above)*100
= 434/468*100
= 92.7%
EFFECTIVE LITERACY RATE
67.
COMPARISON OF EFFECTIVELITERACY RATE OF THE SURVEYED POPULATION OF
SHANMUGAPURAM WITH INDIA AND PUDUCHERRY
INDIA PUDUCHERRY SHANMUGAPURAM
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
74.04%
86.55%
92.70%
INFERENCE: the effective literacy rate of the surveyed area is 92.70%, which is
greater than that of the state (86.55%) and the national average (74.04%)
SOURCE: CENCUS
OF INDIA 2011
68.
INTERPRETATION
Higher literacy ratein the surveyed population compared to that of India’s
indicates
1. Strong Educational Infrastructure: presence of numerous amounts of gov
and pvt schools and higher educational institutes
2. Government Initiatives & Policies like free education, mid day meal
scheme etc.,
3. Urbanization & Awareness
4. Small Population, Easier Implementation: Being a small Union Territory,
implementing educational policies is more effective than in larger states.
69.
PERCENTAGE OF PEOPLEABOVE 18 YEARS OF AGE WITH CHRONIC ILLNESS IN THE SURVEYED
POPULATION OF SHANMUGAPURAM
32%
68%
chronic illness
No chronic illness
COUNT %
CHRONIC
ILLNESS
129 32%
NO
CHRONIC
ILLNESS
276 68%
TOTAL 405 100%
70.
DISTRIBUTION OF CHRONICILLNESS IN POPULATION ABOVE 18 YEARS
CHRONIC
ILLNESS
NO OF
INDIVIDUALS
PERCENTAGE
DIABETES 72 40.9%
HYPERTENSION
56 31.8%
THYROID 24 13.6%
OTHERS 24 13.6%
TOTAL 176 100%
DIABETES HYPERTENSION THYROID OTHERS
0
10
20
30
40
50
60
70
80
40.9%
31.8%
13.6% 13.6%
71.
REPORT
The dependency ratioof the surveyed area of Shanmugapuram is 36.14%
The young age dependency ratio of the surveyed area of Shanmugapuram is 19.83
%
The old age dependency ratio of the surveyed area of Shanmugapuram is 16.3%
The sex ratio of the surveyed area of Shanmugapuram is 1062 females per 1000
males.
The crude literacy rate of the surveyed area of Shanmugapuram is 86.62%
The effective literacy rate of the surveyed area of Shanmugapuram is 92.7%
Total no ofeligible couple of the families
surveyed
Total no of Eligible Couple-75
Total no of couples using contraceptives (current users)- 31
Total no of males using Contraceptives-8
Total no of Females using contraceptives-23
79.
Couple Protection rate
Coupleprotection rate = ( No of current users/ No of eligible
couple) x100
= 31/75 x100
= 41.3%
80.
Fig4: Comparison ofcouple protection rate of
shanmugapuram with India& puducherry
Couple Protection Rate
Source : NFHS-5
Shanmugapuram India Puducherry
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
41.33%
66.70% 66.00%
Couple Protection Rate
Place
Couple
Projection
rate
in
%
Fig5: Distribution ofvarious contraceptive practices
among the current users
Tubectomy Barrier IUD
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
70.96%
25.80%
3.22%
CONTRACEPTIVES
CONTRACEPTIVE
USAGE
IN
%
83.
Table1:Comparison of variouscontraceptive practices of
shanmugapuram with india and puducherry
CONTRACEPTIVE
METHODS Shanmugapuram Puducherry India
Tubectomy 70.96% 53.80% 37.90%
Barrier 25.80% 5% 9.50%
IUD 3.22% 1.9% 2.1%
Source : NFHS-5
distribution of birthsin last 1 year
based on birth registration status
• Total no. of births in last 1 year =7
• No. of births registered =7
• No. of births unregistered =0
87.
Crude birth rate
•Number of births : 7
• Mid year population : 337
• Crude Birth rate = (Number of Births/Mid year population)
x1000
= 7/337 x1000
=21 live births per 1000 population
distribution of deathsin last 1 year based on
registration status
• No. of deaths in last 1 year=8
• No of deaths registered=8
• Unregistered deaths =0
93.
Table2: Percentage Distributionof deaths in last 1
year based on age
Age No.of deaths Percentage
40-49 1 12.5%
50-59 1 12.5%
70-79 1 12.5%
80-90 5 62.5%
Grand total 8 100%
94.
Table3: Percentage Distributionof deaths in last 1
year based on gender
DEATHS COUNT PERCENTAGE
Mortality rate for
males
3 37.5%
Mortality rate for
females 5 62.5%
Total mortality rate 8 100%
95.
Table4: Distribution basedon Reason for
death(n=8)
Reason for death Frequency Percentage
Natural death 6 75%
Renal failure 1 12.5%
liver failure 1 12.5%
Total 8 100%
96.
Crude death rate
•Number of deaths : 8
• Mid year population : 337
• Crude death rate = (Number of Deaths/ Mid year
population) x 1000
= 8/337 x1000
= 24 deaths per 1000 population
97.
Fig9: Comparison ofcrude death rate between
Shanmugapuram , Puducherry and India:(N-8)
Source : SRS Survey 2020 (censusindia.gov.in)
SHANMUGAPURAM INDIA PONDICHERRY
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
67.52%
17.09% 15.38%
PLACE
PERCENTAGE
PLACE PERCENTAGE COUNT
SHANMUGAPURAM 67.52%
INDIA 17.09%
PONDICHERRY 15.38%
Grand Total 100.00%
Fig10: Percentage distributionof U-5 children based on
immunisation status (immunised till date/missed) (n=22)
complete
91%
incomplete
9%
complete
incomplete
101.
INTERPRETATION:
• 91 %of under 5 children immunized till date irrespective of their
gender
• 9 % of under 5 children missed their doses of (pentavalent, rota virus
vaccine and MR vaccine).
102.
Gender Distribution ofU-5 children based
on immunisation status (missed dose)
• Total no. of children who missed immnunisation doses=2
• No. of males missed immunisation dose = 2
• No. of females missed immunisation dose=0
103.
Gender Distribution ofU-5 children based on
immunisation status(IMMUNIZED TILL DATE)
• Total no. of U5 children=22
• No. of children immunized till date=20
• No. of female children immunized till date=10
• No. of male children immunized till date=10
Fig12: Gender Distributionof children who
are completely vaccinated (n=8)
FEMALE
25%
MALE
75%
FEMALE
MALE
106.
Table no. 5:IMMUNISATIONSTATUS(n=8)
AGE GROUP STATUS No OF CHILDREN
PRESENT
No OF CHILDREN
IMMUNIZED TILL
AGE
PERCENTAGE
(N =22)
>28 months Complete 9 8 36%
12 to 24
months
Full 13 12 54%
107.
fig13: Comparison offull immunisation status
with India & Puducherry
SHANMUGAPURAM PUDUCHERRY INDIA
65
70
75
80
85
90
95
91%
82%
76.4%
IMMUNIZATION STATUS
Percentage
Source : NFHS-5
TYPE OF HOUSE
TYPEOF
HOUSE
NO OF
INDUVIDUALS
PERCENTAGE
PUCCA 138 97%
MIXED 5 3%
(n = 143)
97%
3%
PUCCA MIXED
Fig 1 .Percentage distribution of houses based on
housing type
OVERCROWDING (Person perroom)
OVERCROWDING NO OF
INDUVIDUALS
PERCENTAGE
PRESENT 26 18%
ABSENT 117 82%
(n = 143)
18%
82%
PRESENT ABSENT
Fig no 3a : Percentage distribution of houses
based on overcrowding (persons per room
criteria)
114.
OVERCROWDING (Sex separation)
OVERCROWDINGNO OF
INDUVIDUALS
PERCENTAGE
PRESENT 36 19%
ABSENT 107 81%
(n = 143)
19%
81%
PRESENT ABSENT
Fig no 3b : Percentage distribution of houses
based on overcrowding (sex separation criteria)
115.
OVERCROWDING (Floor spacecriteria)
OVERCRODING NO OF
INDUVIDUALS
PERCENTAGE
PRESENT 45 17%
ABSENT 98 83%
(n = 143)
17%
83%
PRESENT ABSENT
Fig no 3c : Percentage distribution of houses
based on overcrowding (floor space criteria)
116.
PLACE OF COOKING
PLACEOF
COOKING
NO OF
INDUVIDUALS
PERCENTAGE
INSIDE
HOUSE
142 99%
OUTSIDE
HOUSE
1 1%
(n = 143)
99%
1%
INSIDE HOUSE OUTSIDE HOUSE
Fig no 4 : Percentage distribution of houses
based on place of cooking
117.
FUEL USED FORCOOKING
FUEL NO OF
INDUVIDUALS
PERCENTAGE
LPG 142 99%
BIOMASS 1 1%
(n = 143)
99%
1%
LPG BIOMASS
Fig no 5 : Percentage distribution of houses
based on type of fuel used
SOURCE OF DRINKINGWATER
SOURCE OF
WATER
NO OF
INDUVIDUALS
PERCENTAGE
DEEP TUBE
WELL
33 23%
SURFACE
WATER
10 7%
OTHERS 100 70%
(n = 143)
7%
23%
70%
SURFACE WATER
DEEP TUBE WELL
Fig no 9 : Percentage distribution of houses
based on Source of drinking water supply
123.
SOURCE OF DOMESTICWATER SUPPLY
SOURCE OF
DOMESTIC
WATER SUPPLY
NO OF
INDUVIDUALS
PERCETAGE
DEEP TUBE WELL 37 26%
SURFACE WATER 11 8%
OTHERS 95 66%
(n = 143)
8%
26%
66%
SURFACE WATER
DEEP TUBE WELL
Fig no 10 : Percentage distribution of houses
based on Source of domestic water supply
124.
MODE OF COLLECTIONOF WATER
MODE OF
COLLECTION
OF WATER
NO OF
INDUVIDUALS
PERCENTAGE
PRIVATE TAP 135 94%
PUBLIC TAP 5 4%
OTHERS 3 2%
(n = 143)
PRIVATE TAP
PUBLIC TAP
OTHERS
0% 20% 40% 60% 80% 100%
94%
4%
2%
Fig no 11 : Percentage distribution of houses
based on mode of collection of water
125.
DISTANCE BETWEEN HOUSEAND WATER
SUPPLY (in mts)
DISTANCE NO OF
INDUVIDUAL
PERCENTAGE
LESS THAN 100 mts 140 97%
MORE THAN 100 mts 3 3%
(n = 143)
97%
3%
LESS THAN 100 METERS
MORE THAN 100 METERS
Fig no 12 : Percentage distribution of houses
based on distance (in meters) between house
and water source
126.
SUPPLY OF WATER
SUPPLYOF
WATER
NO OF
INDUVIDUALS
PERCENTAGE
INTERMITTENT 134 94%
CONTINUOUS 9 6%
(n = 143)
94%
6%
INTERMITTENT CONTINUOUS
Fig no 13 : Percentage distribution of houses
based on supply of water
127.
FREQUENCY OF WATERSUPPLY PER DAY
FREQUENCY OF
WATER SUPPLY
NO OF
INDUVIDUALS
PERCENTAGE
THRICE 132 96%
TWICE 7 3%
ONCE 1 1%
(n = 143)
96%
3% 1%
THRICE TWICE ONCE
Fig no 14 : Percentage distribution of houses
based on frequency of supply per day
128.
RETRIVAL OF WATER
RETRIVALOF
WATER
NO OF
INDUVIDUALS
PERCENTAGE
DIPPING GLASS
HELD IN HAND
88 61%
WATER POURED
OUT
48 34%
USE LADDLE 7 5%
(n = 143)
61%
34%
5%
DIPPING GLASS HELD IN HAND
WATER POURED OUT
USE LADDLE
Fig no 15 : Percentage distribution of houses
based on retrieval of water
129.
S.NO ACTIONS TO
IMPROVEWATER
QUALITY
NUMBER PERCENTAGE
1 NIL 78 54.5%
2 BOILING WATER 51 35.66%
3 FILTER WATER BY RO
SYSTEM
14 9.8%
ACTION TO IMPROVE WATER QUALITY
(n = 143)
Fig no 16 : Percentage distribution of houses based on action to improve
water quality
COLLECTION OF DOMESTICREFUSE
COLLECTION OF
DOMESTIC
REFUSE
NO OF
INDUVIDUALS
PERCENTAGE
INSIDE HOUSE 82 57%
OUTSIDE HOUSE 61 43%
(n = 143)
57%
43%
INSIDE HOUSE OUTSIDE HOUSE
Fig no 17 : Percentage distribution of houses
based on collection of domestic refuse
ACCESS OF GARBAGETO FLIES & RODENTS
ACCESS O
FGARBAGE TO
FLIES AND
RODENTS
NO OF
INDUVIDUALS
PERCENTAGE
PRESENT 48 34%
ABSENT 95 66%
(n = 143)
34%
66%
PRESENT ABSENT
Fig no 19 : Percentage distribution of houses
based on access of garbage to flies and rodents
134.
DISPOSAL OF DOMESTICREFUSE
DISPOSAL OF
DOMESTIC
REFUSE
NO OF
INDUVIDUALS
PERCENTAGE
COLLECTED BY
SWEEPER
137 96%
INDISCRIMINAT
E
6 4%
(n = 143)
96%
4%
COLLECTED BY SWEEPER
INDISCRIMINATE
Fig no 20 : Percentage distribution of houses
based on domestic refuse disposal
• In thesurveyed area, it is inferred that 97% live in pucca house, out of which 38%
live in rented house.
• Majority have a kitchen inside their house, mostly separate from the living room.
• LPG is the main source of fuel.
• 61% and 78% of the houses have adequate natural lighting and ventilation
respectively.
• In 23% the source of drinking water supply is from deep tube well, 7% from
surface water.
• In 26% the source of domestic water supply is from deep tube well, 8% from
surface water.
• In 94% the mode of collection of water is from private tap.
• In most of the houses the frequency of water supply is 3 times per day.
OVERALL INFERENCE
138.
• The storageutensils are clean in all the houses.
• In 61% of the houses, water is retrieved by dipping glass held in hand.
• In almost 54% of the houses there are no actions taken to improve the quality of
water.
• In 57% of the houses, domestic refuse is collected inside the house.
• 33%of the houses have a open dustbin.
• In 96% of the cases, waste is disposed by sweepers daily.
• Disposal of sullage is by drain in 97% of houses.
• Disposal of sewage is by household sanitary latrine in 89% of houses.
OVERALL INFERENCE
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED
ON ANY CHEMICAL HAZARDS (N=143)
Types of chemical
hazards
Number of
households Percentage
Nil 142 99.3%
Paints 1 0.699%
Grand Total 143 100%
Interpretation:
what we infer from the data is
majority of households are not
vulnerable to chemical hazards
however only 1 household is prone
to chemical hazards(paints).
TABLE NO: 1
143.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED
ON ANY ELECTRICAL HAZARDS (N=143)
Types of electrical
hazards
Number of
households Percentage
Nil 141 98.6%
Open wires 2 1.39%
Grand Total 143 100%
Interpretation:
what we infer from the data is that
majority of the houses are not
vulnerable to any electrical hazards
only however 2 households are
presented with open wires .
TABLE NO: 2
144.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON ANY
PHYSICAL HAZARDS
Types of physical hazards
Number of
households
Percentage
Nil 135 94.40%
Slippery floor* 6 4.19%
Sharp edges* 4 2.79%
Nil Slippery floor* Sharp edges*
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00% 94.40%
4.19% 2.79%
PHYSICAL HAZARDS
PERCENTAGE
OF
HOUSEHOLDS
Interpretation:
what we infer from the data is that majority of the households are not vulnerable to any
physical hazards while some are prone to physical hazards like sharp edges and slippery floors.
*multiple responses
TABLE NO: 3 BAR CHART NO: 1
145.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
REARING OF ANIMALS IN HOUSE (N=143)
Rearing of animal in house
Number of
households
Percentage
No 128 89.5%
Yes 15 10.48%
Grand Total 143 100%
128
15
Total
No
Yes
Interpretation:
what we infer from the data is that almost 90 percentage of the households do
not rear any sort of animals while 10 percent of households rear animals.
TABLE NO: 4
PIE CHART NO: 1
146.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
DOMESTIC ANIMALS PRESENT (N=143)
Types of domestic animals Number of
households
Percentage
Birds 4 2.79%
Dog 10 6.99%
Nil 127 88.81%
Others 2 1.39%
Grand Total 143 100%
Interpretation:
what we infer from the data is that majority of the
households are not rearing any animals however few
houses rear dogs and birds.
TABLE NO: 5
147.
SAME LIVING SPACE
USEDFOR HUMANS
AND ANIMALS? Number of households percentage
No 24 16.78%
Not Applicable 110 76.92%
Yes 9 6.29%
Grand Total 143 100%
Not Applicable No Yes
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
76.92%
16.78%
6.29%
SAME LIVING SPACE
PERCENTAGE
OF
HOUSEHOLDS
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
SAME LIVING SPACE USED FOR HUMANS AND ANIMALS
(N=143)
• Interpretation:
• From the surveyed data it is interpreted that ¾ th of the
households do not have animals .
• Humans and animals does not share same living space in ¾ th of
the households which has animals.
TABLE NO: 6
BAR CHART NO: 2
148.
Mosquitoes nil cockroachesrats flies
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
52.40%
14.90% 13.94%
11.54%
7.21%
PESTS
PERCENTAGE
OF
HOUSEHOLDS
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
PROBLEMS OF PEST
Pests Number of households percentage
Cockroaches* 29 13.94%
Flies* 15 7.21%
Mosquitoes* 109 52.40%
Nil* 31 14.90%
Rats* 24 11.54%
Interpretation:
From the surveyed data it is interpreted that mosquitos are the predominant pest variety causing problem
to the households in the community.
*multiple responses
TABLE NO: 7
BAR CHART NO: 3
149.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON PEST
CONTROL MEASURES
Interpretation:
From the surveyed data it is interpreted that mosquitoes control are the predominant pest
control measure that is been used.
*multiple responses
Pest control measures Number of households Percentage
cockroach- hit, repellents* 9 5.96%
mosquitoe repellent, nets, coils bats* 91 60.26%
Nil* 42 27.81%
rat mat, trap, repellents* 9 5.96%
mosquito
repellent,
nets, coils
bats
nil cockroach-
hit,
repellents
rat mat,
trap,
repellents
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
60.26%
27.81%
5.96% 5.96%
CONTROL MEASURES
PERCENTAGE
OF
HOUSEHOLDS
TABLE NO: 8
BAR CHART NO: 4
150.
RISK OF BURNSNumber of households
percentage
COOKING PLACE ACCESS TO
CHILDREN 3
2.10%
NIL 140 97.90%
GRAND TOTAL 143 100%
• Interpretation:
• Almost all the surveyed households has no
risk of burns except 3 households in which
the cooking place acess to children.
• All the surveyed households has no risk of
drowning.
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON RISK
OF BURNS AND DROWNING (N=143)
TABLE NO: 9
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
ACCESS TO STRAY ANIMALS (N=143)
ACCESS TO
STRAY
ANIMALS
Number of
households
PERCENTAGE
NO 63 44.1
YES 80 55.9
TOTAL 143 100
63; 44%
80; 56%
Total
No
Yes
Interpretation:
Data from the survey shows that Almost more than half of the surveyed households has
been access able to stray animals.
TABLE NO: 10
PIE CHART NO: 2
153.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON DRAINS
(N=143)
DRAINS Number of
households
PERCENTAGE
NO 69 48.3
YES 74 51.7
TOTAL 143 100
69; 48%
74; 52%
Total
closed
open
Interpretation:
By the surveyed data, it is found that a significant portion of households have direct exposure to open
drains, which may contribute to hygiene and health concerns.
TABLE NO: 11
PIE CHART NO: 3
154.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
GARBAGE DUMPING (N=143)
GARBAGE
DUMPING
Number of
households
PERCENTAGE
NO 107 74.8
YES 36 25.2
TOTAL 143 100
107; 75%
36; 25%
Total
No
Yes
Interpretation:
By the surveyed data, it is found that a significant number(25%) of households dispose
of garbage in open spaces or improper locations, which may contribute to
environmental pollution and public health hazards.
TABLE NO: 12
PIE CHART NO: 4
155.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED
ON BREEDING PLACE OF MOSQUITOES (N=143)
BREEDING
PLACE FOR
MOSQUITOES
Number of
households
PERCENTAGE
NO 63 44.1
YES 80 55.9
TOTAL 143 100
63;
44%
80;
56%
Total
No
Yes
Interpretation:
By the surveyed data, it is found that a considerable number of households have potential breeding
sites for mosquitoes, increasing the risk of vector-borne diseases.
TABLE NO: 13
PIE CHART NO: 5
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED
ON HEALTH INSURANCE COVERED (N=143)
HEALTH
INSURANCE
Number of
households
PERCENTAGE
NO 116 81.1
YES 27 18.9
TOTAL 143 100
116; 81%
27; 19%
Total
No
Yes
Interpretation:
Data from the survey shows that more than 3/4th of the population are not covered under any
sort of health insurance however only 28 percent of households is benefitted by health
insurance.
TABLE NO: 14
PIE CHART NO: 6
158.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
NAME OF THE INSURANCE C0VERED (N=143)
GOVERNMENT
INSURANCE
6%
PRIVATE
INURANCE
8%
NIL
87%
INSURANCE
Number of
households percentage
GOVERNMENT
INSURANCE 8 AB-PMJAY 6%
PRIVATE INSURANCE 11 8%
NIL 124 87%
TOTAL 143 100%
Interpretation:
• Low Enrollment: The 6% coverage in the dataset is much lower than the national 40%,
indicating a gap in access or awareness
• High Uninsured Population: 87% of families have no insurance, highlighting a need for
better health coverage outreach
TABLE NO: 15
PIE CHART NO: 7
159.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
BEING PART OF ICDS SERVICES (N=143)
No; 134; 94%
Yes; 9; 6%
No
Yes
RECEVING ICDS
SERVICES NO OF FAMILY
PERCENT
AGE
No 134 94%
Yes 9 6%
Grand Total 143 100%
Interpretation:
Data from the survey shows that A large number of households are not
receiving ICDS benefits, despite the program's aim to support child nutrition,
healthcare, and education
TABLE NO: 16
PIE CHART NO: 8
160.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
BEING PART OF SELF HELP GROUP (N=143)
No; 136; 95%
Yes; 7; 5%
Total
No
Yes
PART OF SELF HEALTH
GROUP
Number of
households PERCENTAGE
NO 136 95%
YES 7 5%
TOTAL 143 100%
Interpretation:
From the surveyed data it is interpreted that majority of households do
not engage in self-help groups
TABLE NO: 17
PIE CHART NO: 9
161.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
UTILIZATION OF SOCIAL SECURITY BENEFITS (N=143)
No; 85; 59%
Yes; 58; 41%
Total
No
Yes
SOCIAL
SECURITY
BENEFITS
Number of
households
PECENTAGE
NO 85 59%
YES 58 41%
TOTAL 143
100%
Interpretation:
In the surveyed population a significant portion of the general population benefits from social security
programs
TABLE NO: 18
PIE CHART NO: 10
162.
TERTIARY HEALTH PHCMEDICAL COLLAGE PRIVATE CLINIC PRIVATE HOPITAL AYUSH
0%
5%
10%
15%
20%
25%
30%
35% 33%
23%
20% 19%
3% 2%
HEALTH CARE FACILITY
PERCENTAGE
OF
HOUSEHOLDS DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
HEALTH FACILITY UTILIZED FOR MINOR ILLNESS (N =143)
INTERPRETATION –Tertiary health care centre is the most preferred health care centre
for minor illness
BAR CHART NO: 5
163.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
HEALTH CARE FACILITY UTILISED FOR MAJOR ILLNESS
(N=143)
Health care
facility Number of households Percentage
GH 56 39.16%
Medical
College 60 41.96%
PHC 5 3.50%
Private
Clinic 12 8.39%
Private
Hospital 10 6.99%
Grand Total 143 100%
Medical
College
GH Private Clinic Private
Hospital
PHC
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00% 41.96%
39.16%
8.39%
6.99%
3.50%
HEALTH CARE FACILITY
PERCENTAGE
OF
HOUSEHOLDS
Interpretation:
• Data from the survey shows that Almost
80% of the surveyed households use GH
(39%) and Medical college (41%) for the
treatment of major illness.
TABLE NO: 19
BAR CHART NO: 6
164.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
HEALTH CARE FACILITY UTILISED FOR IMMUNIZATION
(N=143)
Health
care
facility Number of households Percentage
GH 46 32.17%
Medical
College 32 22.38%
Others 3 2.10%
PHC 53 37.06%
Private
Clinic 4 2.80%
Private
Hospital 5 3.50%
Grand Total 143 100%
Interpretation:
• Data from the survey shows that 23rd
of the surveyed households uses GH
and PHC for Immunization
PHC GH Medical
College
Private
Hospital
Private
Clinic
Others
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
37.06%
32.17%
22.38%
3.50% 2.80% 2.10%
HEALTH CARE FACILITY
PERCENTAGE
OF
HOUSEHOLDS
TABLE NO: 20
BAR CHART NO: 7
165.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
HEALTH CARE FACILITY UTILISED FOR DELIVERY (N=143)
Health care
faciltity Number of households Percentage
Medical
College 63 44.06%
GH 37 25.87%
Others 17 11.89%
PHC 1 0.70%
Private
Hospital 25 17.48%
Grand Total 143 100%
Medical
College
GH Private
Hospital
Others PHC
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
50.00%
44.06%
25.87%
17.48%
11.89%
0.70%
HEALTH CARE FACILITY
PERCENTAGE
OF
HOUSEHOLDS
Interpretation:
• Data from the survey shows that Almost half of the surveyed households utilize medical college for
delivery.
• A good amount of surveyed households utilize GH and private hospital also.
TABLE NO: 21
BAR CHART NO: 8
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
WASHING VEGETABLES BEFORE COOKING (N=143)
Interpretation:
• Data from the survey shows that All the surveyed households are
washing vegetables before cooking.
168.
DISTRIBUTION OF SURVEYEDHOUSEHOLDS BASED ON
VEGETABLES ARE WASHED BEFORE OR AFTER CUTTING
(N=143)
vegetables are washed
Number of
households Percentage
after Cutting 3 2.10%
Before cutting 140 97.90%
Grand Total 143 100%
2.10%
97.90%
after Cutting Before cutting
Interpretation:
Data from the survey shows that Almost all of the surveyed households wash
vegetables before cutting but only 3 households wash vegetables after cutting.
TABLE NO: 22
PIE CHART NO: 11
169.
Type of oil
used
Number
ofhouse
holds
Percentage
Coconut oil 1 0.70%
Groundnut oil 58 40.56%
Palm oil 5 3.49%
Sunflower oil 74 51.74%
Vegetable oil 5 3.49%
Grand total 143 100%
Interpretation:
• By the survey , it is found that majority of the households use sunflower oil(52%) followed by ground nut oil(41%)
• This shows better awareness among people about the adverse effects of using palm oil
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
TYPE OF COOKING OIL USED (N=143)
TABLE NO: 23
170.
Interpretation:
• Data fromthe survey shows that All the surveyed households
are using iodized salt.
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
TYPE OF SALT USED (N=143)
171.
Comparison with NFHS-5Data
Interpretation:
• All the surveyed households use iodized salt.
• So on comparison with NFHS-5 data, consumption of iodized salt among the surveyed
households is better than the national and state standards.
• The surveyed population's 100% iodized salt usage indicates better awareness and
access, promoting iodine sufficiency and preventing deficiency disorders
Region Iodised Salt
consumption
India 94.3%
Puducherry 93.4%
Among surveyed
households
100%
TABLE NO: 24
172.
Frequency of fruit
consumption
Numberof
Households
Percentage
1 to 6 days a week 55 38.47%
Daily 37 25.88%
Less than once a
week
51 35.67%
Grand total 143 100%
1 to 6 days a week Less than once a
week
Daily
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
38.47%
35.67%
25.88%
FREQUENCY OF FRUIT CONSUMPTION
PERCENTAGE
OF
HOUSEHOLDS
Interpretation:
• Around 65% of households consume fruits regularly (either daily or 1 to 6 days a week), which is a
positive dietary habit.
• However, 35% consume fruits less than once a week, indicating a need for awareness and
encouragement to increase fruit intake for better nutrition
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
FREQUENCY OF FRUIT CONSUMPTION (N=143)
TABLE NO: 25 BAR CHART NO: 9
173.
Frequency of
Vegetable
consumption
Number of
Households
Percentage
1to 6 days a
week
20 13.99%
Daily 123 86.01%
Grand total 143 100%
1 to 6 days a week Daily
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
13.99%
86.01%
FREQUENCY OF VEGETABLE CONSUMPTION
PERCENTAGE
OF
HOUSEHOLDS
Interpretation:
A majority (86%) of households consume vegetables daily, which is a healthy dietary practice.Only 14%
consume vegetables 1 to 6 days a week, suggesting they might need guidance to incorporate
vegetables into their daily diet.
DISTRIBUTION OF SURVEYED HOUSEHOLDS BASED ON
FREQUENCY OF VEGETABLE CONSUMPTION (N=143)
TABLE NO: 26 BAR CHART NO: 10