socio-economic and pastoral survey a report and …

TRIVANDRUM LATIN ARCHDIOCESE 1

SOCIO-ECONOMIC AND PASTORAL SURVEY A REPORT AND ANALYSIS

LATIN ARCHDIOCESE OF TRIVANDRUM Vellayambalam, Trivandrum

2 PLATINUM JUBILEE SURVEY-2011

SOCIO-ECONOMIC AND PASTORAL SURVEY 2011 A REPORT AND ANALYSIS

Latin Archdiocese of Trivandrum Vellayambalam

Data Collection and Data EntryBCC & TSSS(Archdiocese of Trivandrum)

Software DevelopmentMr. Justus S.

Data Analysis and Survey Report Dr. J. Mary JohnADHWANA Resource Center, Thiruvananthapuram+91 944 797 1846

Design and LayoutSKETCH +91 77 3650 2049sketchtricks.com

Survey TeamMsgr. James Culas J.Fr. Sabbas Ignatius G.N.Fr. Edison Y.M. (Coordinator)

Published byLatin Archdiocese of TrivandrumArchbishop’s House Compound Samanwaya, VellayambalamThiruvananthapuram - 3

© TSSS & BCC 2013, May


CONTENTS

Preface 5Foreward 7Map 9Archdiocesan History 11

List of Chart 15List of Table 17

Chapter1 21Introduction and Methodology

Chapter 2 27Presentation of Data

Chapter 3 83Summary of Findings and Recommendations

Annexure Annexure 1: Tables 95Annexure 2: Schedule 191


PREFACE

History always recalls National Census as one of the greatest achievements of any ruler who accomplishes it, precisely because it presupposes vision, systematic planning and sincere dream for sustainable development of his or her kingdom.

2012 was a milestone in the annals of the Latin Archdiocese of Trivandrum which celebrated its Platinum Jubilee that year. One of the important events which added colour and grandeur and substance was the socio-economic, pastoral and civic survey of the Archdiocesan population. Though the diocese was not new to such surveys, the present one was special with its coverage and depth. It was this bold decision and constant encouragement of Archbishop Soosa Pakiam that enabled us to fulfill such a satisfying, though hard and challenging, task with commendable output.

Preliminary discussions of the survey began in the beginning of 2011. There were many who enriched us to shape the survey format with solid support. The following ones deserve special mention of thanks: Fr. E.J. Thomas S J, Fr. Joye James S J, Dr. Irudayaraj, Dr. Charles Leon, Dr. Biju and Msgr. Eugine H. Pereira. It was also placed before the Diocesan Senate and other relevant Archdiocesan platforms, besides the directors of different ministries in the Archdiocese. A sample survey was carried out at Kochuthura, Nettayam and Thope during February – March, 2011. The format for data collection was presented in the Presbyterium held on 23rd August, 2011 along with the sample survey results. Suggestions were incorporated therein.

A Training of Trainers (ToT) was organized at the diocesan level on July 17th and 23rd 2011, for personnel such as the parish BCC coordinators, animators of various ministries and other parish representatives on the methodology of enumeration. They functioned as a resource team for training the enumerators at the villages. By the end of July, parish level training was completed. The field level survey was completed in five months starting from the month of August 2011. Some 2050 people were involved in the enumeration. From September 2011 onwards parishes began sending the completed survey forms. The commendable efforts of the parish priests, parish councils and other teams deserve a word of appreciation and thanks. Meanwhile, a new software was developed on VB.Net with Mysql for data entry and report generation. It is flexible enough to generate any combination of options. This parish/user-friendly software would not have been materialized but for the hard work and skills of Adv. Justus who deserves special thanks and it is joyfully recorded here.

Data entry which begun in November 2011 took almost eight months to complete. 39 people at different locations and times committed themselves to make it a reality. Though the names of all the members involved in the data entry are impossible to be mentioned here, the names of Mrs. Dayana, Mrs. Mercy, Miss. Jimmy Mole, Mr. Nandu, Mr. Sumesh, Bros. Ajith, Shijin, Immanuel, Marthoma and Lawrence can not go without mentioning. Their committed efforts are thankfully remembered here. Sr. Mary Vaz, the BCC office secretary, along with the animators and staff of BCC made all efforts needed to coordinate the entire process of data collection and entry. They together do deserve gracious thanks.

On 1st July 2013, the day of the Platinum Jubilee celebration, we could release the forane-wise family directory before the public which represented the source of this data base. After clearing errors the final data and its results were presented in the Presbytarium on 14th August, 2012 and priests were introduced to the use of the software. This introduction was given for the parish – forane representatives also.

The complete data were then handed over in November 2012 to ADHWANA, a State Level professional NGO, in order to bring out the report of the survey with the findings and recommendations. The volume in your hands with lot of information in tables and charts, along with analysis, findings and recommendations generated from the


supplied data is the result of sustained hard work of Dr. J. Mary John and his team of experts and staff. A big thanks to them. A special word of appreciation and thanks is due to SKETCH TRICKS for accomplishing the designing and printing works beautifully. We are indeed indebted to the Fr. Lenin Raj, the Secretary and Director, Trivandrum Social Service Society and to his staff in extending all possible supports throughout the process of survey, besides the financial assistance to carry out this task constraint- free.

Archdiocesan Synod, one of the great events of the Platinum Jubilee, discussed and suggested plans on various sectors and fields of activities. Further planning in detail, taking into account the ground realities of the parish communities needs to be done, yet. The plan will be SMART plan: Specific, Measurable, Achievable, Realistic and Time-bound. The survey and the report generated certainly will have its impact on that. The Report may serve as a historical data on our diocesan community and can form basis of comparison for future social analysis and planning, whenever necessary.

However, the findings of this survey shall better be used with constant and serious inputs from people’s active participation at all levels of interventions– parish, forane and Archdiocesan. It is our modest expectation that it forms the basis for future planning.

We, the members of the Survey Team, take this opportunity to thank you, one and all for your share in making this a reality for the service of our valiant people who dare even the elements for sustenance and survival.

Survey Coordination Team


FOREwORD

“To know thyself is the greatest knowledge”. The aims of “Latin Archdiocesan survey 2011” are: to know our Archdiocese in a better way; to know our strengths and weaknesses; to know the exact population; to situate ourselves with other communities; to find the areas of our development; to focus our ministries to the real needs of people. This is an eye opener to all members of our Archdiocese. The survey results reveal what we are and where we are today after 75 years of journey as a faith community rooted in Jesus and his principles.

“Latin Archdiocesan survey 2011” attempts also a study of each individual family and person in our Archdiocese. This effort taken in view of reaching substantiated inferences about our community has now reached to the present stage through expert guidance, participatory and collective action and thought, group discussions, well designed interview schedule, effective training sessions, tedious home- to- home data collection, tailor-made software preparation, patient data entry and intelligent data analysis-interpretation and high standard of organizing various factors.

This survey reports are arranged in two levels, namely Archdiocese-Forane level and Forane-Parish level. This is a very helpful tool for the decentralized planning in our Archdiocese which is a key principle of our first synod. Different ministries and commissions have to make use of this survey analysis for their entire planning of the ministry and could reflect in the annual plan and budget at least for the next 5 years. The forane which has regional preferences and priorities should make use of these survey findings for their long and short term planning of various ministries and concerns they face. As pastors and leaders of the community, they should make use of these results and analysis for their parish ministry. The parish councils, finance councils and other bodies in the parishes have to see their priorities and levels of different areas and should make efforts to improve them by planning and executing different programs for the target groups.

I sincerely appreciate this great task and all the persons who toiled to make this dream a reality. We are on our way to an improved situation not only in terms of our socio-economic progress but also in terms of our skills to understand the reality.

I love to state here that undertaking such an exercise should not be stopped with this one. At the completion of every tenth year, a similar exercise has a more relevant space in the process of updating the information. I once again appreciate each and every one behind this great achievement.

† SOOSA PAkIAM M. Archbishop of Trivandrum


THIRUVANANTHAPURAM LATIN ARCHDIOCESE.HISTORICAL BACkgROUND

IntroductionChristianity claims its presence in Kerala since the 1st century itself. Its inception was supposed to be by 52 AD with the arrival of St. Thomas, the Apostle, in this land. However, a historical study of Christian community in Kerala forgetting the services of foreign missionaries, who sacrificed their lives to promote social justice among the people of this land, who were suppressed and depressed under the then prevailing untouchability and colour discriminations, may perhaps be incomplete.

Origin of Christian CommunityIn the past, Quilon was a prominent and predominant commercial centre of Travancore. Even before the merchants from western countries came to Travancore for their trade and commerce, the missionaries from Europe visited Travancore to propagate the Good News of Jesus, the Christ. Marcopolo, a famous traveler from Venice, who visited Quilon in the year 1292 AD has engrossed that there was a Christian community in this land. The seeds of faith, sown by the Franciscans and Dominicans, which were confirmed and strengthened by St. Francis Xavier, the Jesuit, and his followers, resulted in the formation of Christian communities along the coastal area of the erstwhile Travancore.

Pope John XXII, by a Decree ‘‘ROMANUS PONTIFIX’’ established the Diocese of Quilon in the year 1329, which became the first diocese in India. The writings of St. Francis Xavier mentions places such as Vizhinjam, Karumkulam, Puthiyathura, Pulluvila, Kollamcode, Vallavila, Thoothoor, Puthenthura, Thengappattanam, Inayam, Midalam, Vaniyakkudi, Kulachal, Kadiyappattanam, Muttom, Pallom, Manakkudi. The areas from Kulachal in the south to Adimalathura in the north were under a vicariate as recorded by Fr. Valithano, a Jesuit Missionary. There are evidences that Christian communities were existing at Mampally and Roitora even prior to the arrival of Francis Xavier.

Formation of Trivandrum Latin DioceseBy 17th century the Carmelite Missionaries landed in India. In 1898, when Rt. Rev. Dr. Aloysious Maria Benziger was the Bishop of Kollam, the Carmelite Missionaries from Belgium resorted at Travancore and concentrated on mission works. Their mission area covered the present dioceses of Kollam, Punalur, Thiruvananthapuram, Neyyatinkara and Kottar which were part of the Diocese of Kollam. In 1930 Kottar diocese came into existence. In 1937 Pope Pious XI by a Decree ‘‘IN ORA MALABARICA’’ established the Trivandrum Latin Diocese by bifurcating the Kollam Diocese. The revenue Taluks of Chirayinkeezh, Thiruvananthapuram, Nedumangad and Neyyattinkara were placed under the jurisdiction of Trivandrum diocese. In 1952 the coastal parishes from Pallithura to Erayimmanthura were de-linked from Cochin Diocese and attached to the Diocese of Trivandrum.

Bishops on ServiceOn formation of Trivandrum Diocese Rt. Rev. Dr. Vincent Dereira, the then Bishop of Kollam was appointed as the


1st Bishop of Trivandrum Diocese. During his tenure the catholic population in the diocese increased to around three Lakhs and in the educational sector there were 63 primary schools, 28 U.P schools, 15 High Schools, 2 Training schools and 3 Colleges.

Rt. Rev. Dr. Peter Bernard Pereira, who followed Bishop Vincent Dereira was the first Bishop from the soil and his tenure was from October 1966 to June 1978. Bishop Pereria lighted the lamp for many social developmental activities in the diocese. One of such is Marianad Community Development Programme. Trivandrum Social Service Society, a registered social service society is a pioneering initiative of Bishop Pereira. The Indian Space Research Organisation at Thumba was made possible because of the visionary intervention of Bishop Pereira. It was during his time that the land base for the future development of Trivandrum diocese was created.

Bishop Peter Bernard Pereira was succeeded by Bishop Jacob Archaruparambil OFM Cap, who was in service from October 1979 to 1990. It was during his period that the historical event of Kottar Living Together took place in the Golden Jubilee year of the diocese which gave new outlook to the diocese as a Participatory Church and the Church as the People of God by inculcating the vision of II Vatican Council.

In the year 1990 Bishop Soosa Pakiam took charge of the diocese. Tremendous achievements both in the spiritual as well as social arenas have been made in the diocese during the past 23 years. Decentralization and participation were the basic principles adopted in every stage of administration in the Local Church.

Bifurcation of the Diocese and Elevation as ArchdioceseIn 1996 Trivandrum diocese was bifurcated and a new diocese came into being - Neyyatinkara Diocese. Thus the area of Thiruvananthapuram diocese was reduced to 686 sq. k.m. which encompassed the areas from Ayiroor of Chirayinkeezh Taluk in the north to Erayummanthurai of Vilavancode Taluk of Kanyakumari Dist in the south. A major portion of Trivandrum diocese is located along the coastal belt with six foranes, which extends to about 76 k.m in lenth. There are two foranes in the interior.

In the year 2004 Pope John Paul II was pleased to elevate Trivandrum diocese as an Archdiocese with Alappuzha, Kollam, Punalur and Neyyatinkara as its suffragent dioceses. Bishop Soosa Pakiam was elevated as the Archbishop of this ecclesiastical region.

Renewal Process in the DioceseThe general observation is that the socio-economic, educational and political situation of the people of our diocese is not very impressive and the available statistics shows that they are far behind many of the other communities in Kerala. Diocese has adopted many strategies over the years to lift the community to the mainstream according to the need of the time. Especially community building that took place after the ‘Kottar Living Together’ and the structural and functional changes evolved in the diocese have contributed much to its growth.

There are several parishes (80) and sub-stations (43) working as the arms of the Archdiocese to implement, inter alia, the socio-economic-pastoral and educational activities with the people. Basic Christian Communities (BCCs) have been formed in all the parishes and sub- stations in order to enhance and sustain the active participation of the people and decentralization of the ministries. Pastoral ministry touches the pastoral and spiritual life of the people through the commissions of Bible, Catechism, Liturgy, Family Apostolate, Evangalization, Ecumenism and Dialogue.

In the educational sector there are 5 Higher Secondary Schools, 2 High Schools, 4 U.P Schools, 17 L.P Schools, 1 CBSC School and one Centre for Excellence, one Engineering College, one Nursing College, one ITC and one B.Ed College under the Archdiocesan management. Other than this there are 19 schools under the direct control of parish managements and 25 schools under the management of the religious and 4 schools under the Trusts of Latin Catholic lay people.

Social action ministry steered by Trivandrum Social Service Society has five departments such as (1) Capacity building, (2) Advocacy, Policy Lobbying and Net-working, (3) Socio-economic development and employment, (4) Health, environment and education and (5) Administration and Research. The activities are carried out through


various community based-organizations (forums) and institutions. There are 6 forums and 11 institutions under Social Action Ministry taking care of various target groups.

Other relevant activities of the Archdiocese are carried out through the Board for Clergy and Religious, Board for Temporalities, Board for Evangelization and Board for Laity. There are other autonomous ministries such as BCC, Youth Ministry, Media and Fisheries.

ConclusionThe present survey is the first of its kind in terms of the preparations undertaken for execution, wide coverage of all Parishes and Foranes of the Archdiocese, inclusion of major socio-economic and pastoral subjects, the systematic conduct and team work and involvement of professional experts in various stages. The task and the results of this program are considered as one of the milestones in the annals of the archdiocese of Trivandrum. If this survey and its finding could be instrumental for various ministries to bring out certain remarkable changes in the growth of the People of God in our local church, that will certainly open up for a new horizon in the path of development and building up of the Kingdom of God.


List of Charts Chart Latin Archdiocese of Trivandrum 1 Ownership of houses 2 Type or quality of houses 3 Number of rooms in the houses 4 Number of Families accommodated in a single house 5 The accommodation pattern of individual members in houses 6 Ownership/ Possession and Occupation of Land 7 Land Area-wise distribution of families 8 Sex-wise distribution of land 9 Energy consumption for cooking 10 Home appliances 11 Ownership of Vehicles 12 Media/ Publications/Communication Methods 13 Fishing Equipments 14 Other occupational equipments 15 Trade and commerce 16 Agriculture 17a Monthly Food Expenses 17b Monthly Expenses for education 17c Monthly expenses for medical care 18 Extent of Debts 19 Current Size of debts 20 Availability of Ration Cards 21 Registration as APL or BPL 22 Extent of Medical insurance 23 Availability of Sanitary Latrines 24 Source of water for domestic use 25 Domestic Drainage system 26 Waste Disposal 27 Availability of study facilities at home 28 Parental monitoring of children’s studies 29 Community support for children’s studies 30 Availability of POC Complete Bible in the family


31 Family Prayer 32 Family participation in BCC meetings 33 Occurrence of Death and its causes 34 Sex-wise distribution of population 35 Age wise distribution of population in Numbers 35a Age wise distribution of population in % 36 Blood Group 36a Blood Group of the persons in the age group of 18-45 37 Marital Status 37a Marital Status of people in the age group > 40 38 Life status 39 Educational Qualifications 39a Sex wise distribution of educational qualification in the age group of 5-15 years 40 Medium of Instruction 41 Subjects for study 42 Educational Institutions 43 Employment sectors 44 Career sectors and positions 45 Diseases 46 Bad habits 47 Disabilities 48 Faith- based and social organizations 49 Participation in Holy Mass 50 Participation in Catechism classes 51 Participation in Confession 51a Sex-wise participation in Confession among the members of the age group between 10-18 years 51b Sex-wise participation in Confession among the members of the age group between 19-60 years 51c Sex-wise participation in Confession among the members of the age group above 60 years


List of Tables Table Latin Archdiocese of Trivandrum 1 Ownership of houses 2 Type or quality of houses 3 Number of rooms in the houses 4 Number of Families accommodated in a single house 5 The accommodation pattern of individual members in houses 6 Ownership/ Possession and Occupation of Land 7 Land Area-wise distribution of families 8 Sex-wise distribution of land 9 Energy consumption for cooking 10 Home appliances 11 Ownership of Vehicles 12 Media/ Publications/Communication Methods 13 Fishing Equipments 14 Other occupational equipments 15 Trade and commerce 16 Agriculture 17a Monthly Food Expenses 17b Monthly Expenses for education 17c Monthly expenses for medical care 18 Extent of Debts 19 Current Size of debts 20 Availability of Ration Cards 21 Registration as APL or BPL 22 Extent of Medical insurance 23 Availability of Sanitary Latrines 24 Source of water for domestic use 25 Domestic Drainage system 26 Waste Disposal 27 Availability of study facilities at home 28 Parental monitoring of children’s studies 29 Community support for children’s studies 30 Availability of POC Complete Bible in the family


31 Family Prayer 32 Family participation in BCC meetings 33 Occurrence of Death and its causes 34 Sex-wise distribution of population 35 Age wise distribution of population in numbers 35a Age wise distribution of population in % 36 Blood Group 36a Blood Group of the persons in the age group of 18-45 37 Marital Status 37a Marital status of persons above 40 years 38 Life status 39 Educational Qualifications 39a 39i Sex-wise distribution of educational qualifications in the age group of 16-25 years 39b 39ii Sex-wise distribution of educational qualifications in the age group of 26-35 years 40 Medium of Instruction 40a 40i Sex-wise distribution of medium of instruction of the age group 05-15 years 40b 40ii Sex-wise distribution of the medium of instruction the age group of 16-25 years 40c 40iii Sex-wise distribution of the medium of instruction the age group of 26-35 years 41 Subjects for study 41a 41i Sex-wise distribution of subject for study of the age group of 16-25 years 41b 41ii Sex-wise distribution of the subjects for study of the age group of 26-35 years 42 Educational Institutions 42a 42i Sex-wise distribution of the educational institutions preferred by the age group of 5-15 years 42b 42ii Sex-wise distribution of the educational institutions preferred by the age group of 16-25 years 42c 42iii Sex-wise distribution of the educational institutions preferred by the age group of 26-35 years 43 Employment sectors 43a 43i Sex-wise distribution of employment sectors in the age group of 18-28 years 43b 43ii Sex-wise distribution of employment sectors in the age group of 29-35 years 43c 43iii Sex-wise distribution of employment sectors in the age group of 36-60 years 44 Career sectors and positions 44a 44i Sex-wise distribution of Career positions of the age group 18-28 years 44b 44ii Sex-wise distribution of Career position of the age group 29-35 years 44c 44iii Sex-wise distribution of Career position of the age group 36-60 years 45 Diseases 45a 45i Sex-wise distribution of diseases in the age group of 0-6 years


45b 45ii Sex-wise distribution of diseases in the age group of 7-15 years 45c 45iii Sex-wise distribution of diseases in the age group of 16-35 years 45d 45iv Sex-wise distribution of diseases in the age group of 36-60 years 45e 45v Sex wise distribution of diseases in the age group above 60 years 46 Bad habits 46a 46i Sex wise distribution of bad habits in the age group of 5-15 years 46b 46ii Sex wise distribution of bad habits in the age group of 16-25 years 46c 46iii Sex-wise distribution of bad habits in the age group of 26-60 years 46d 46iv Sex wise distribution of bad habits in the age group above 60 years 47 Disabilities 48 Faith- based and social organizations 48a 48i Sex-wise involvement in faith based and social organizations in the age group of 18-60 years 48b 48ii Sex-wise Involvement in Faith based and social organizations among the members of the age group above 60 years 49 Sex wise participation in Holy Mass 49a 49i Sex-wise participation in Holy Mass in the age group between 5-18 years 49b 49ii Sex-wise participation in Holy Mass in the age group between 19-60 years 49c 49iii Sex-wise participation in Holy Mass in the age group between >60 years 50 Participation in Catechism classes 50a 50i Sex-wise participation in Catechism classes among the members of the age group 5-15 years 50b 50ii Sex-wise participation in Catechism classes among the members of the age group 16-25 years 51 Participation in Confession 51a Sex-wise participation in Confession among the members of the age group between 10-18 years 51b Sex-wise participation in Confession among the members of the age group between 19-60 years 51c Sex-wise participation in Confession among the members of the age group above 60 years


CHAPTER 1

INTRODUCTION

ContextThe Latin Catholic Archdiocese of Trivandrum was established in 1937. Half a century has elapsed under four Prelates. The Golden Jubilee Celebrations offered a good opportunity for reflection on the current status as well as future possibilities of the Diocese. Naturally the importance of developing socio-economic as well as pastoral profiles of the population, parishes, Foranes and the Archdiocese as a whole was keenly felt. After weighing the pros and cons as well as considering the modalities to be adopted, it was decided to do a comprehensive and integrated census survey, covering the entire families and individuals of the Archdiocese.

Goal/Overall Objective of the SurveyThe ultimate goal of the Census survey was to ensure that Archdiocesan, Forane and parish level socio-economic and pastoral planning processes are made more specific, measurable, achievable, realistic and time bound (SMART) and based on empirical data.

Specific Objectives � To collect/generate comprehensive and reliable data bearing on all aspects in the socio-economic and

pastoral life of the families and individuals in the Archdiocese

� To prepare and bring out separate reports for each forane and a consolidated report of the entire Arch-diocese, containing the findings of the survey.

Data BaseAll Latin Catholic families who were members of the Parishes belonging to the Latin Archdiocese of Trivandrum (hereinafter called Archdiocese) consisted of the data base for the survey.

Source of dataThe source of data used for this report was the census survey conducted by Trivandrum Social Service Society (TSSS) during the 2011-2012 period.

Geographical CoverageThe survey tried to cover all the Latin Catholic families who were members of 115 Parishes in 8 Foranes in the Archdiocese. The names of Foranes and corresponding number of parishes covered in the survey are given in the table below:


Foranes and number of parishes covered in the survey

Sl. No Foranes No of Parishes including sub-stations

1 Thoothoor 82 Pulluvila 153 Kovalam 144 Valiyathura 105 Pettah 196 Palayam 197 Puthukurichy 198 Anchuthengu 10

Total 114

Demographical CoverageThe Survey covered 58501 families and 217821 individuals with 112287 males (51.55%) 105534 females (48.45%) in 8 foranes.

Sectoral CoverageThe survey covered several important and relevant sectors and subjects and collected data on families and their members. The following table shows the family-based and individual-based data collected on various areas and subjects.

Areas and subjects covered by the Survey

Sectors SubjectsA. Family-based dataHousing Ownership of House

Type or Quality of HouseNumber of rooms in the house

Number of families living in the houseNumber of members living in the house

Land Ownership/possession/ occupation of landArea of own landGender distribution of land ownership


Energy consumptionOther assets ownership Ownership of home appliances

Ownership of vehiclesSubscription to media and publicationsFishing equipmentsOther work equipments

Commerce and industry

Agriculture

Family Expenditure

Debts

Possession of ration cards

APL/BPL

Coverage of Health Insurance

Sanitation facilities

Water for domestic use Source Drainage

Solid waste disposal DestinationChildren’s Education Study facilities

Parents’ monitoringCommunity support to education

Faith/Parish life Availability of POC BibleFamily prayerParticipation in BCCs

Occurrence of Death

B. Data on individual members in the family

Sex distribution

Relation ship

Blood group

Marital status

Stages in life


Education LevelsMedium of study Subjects studiedType of educational institutions accessed for studies

Employment and labour Area of employment and labourPositions in employment and labour

Health DiseasesBad habitsDisabilities

Involvement in Church/ Civil society organizationsFaith life Participation in Holy Mass

CatechismSacrament of Reconciliation

Data collection processHaving decided on the geographical, demographical, sectoral and subject-wise coverage, a specific interview schedule corresponding to the areas and subjects was framed by the Archdiocesan team as the main tool for collection of data. Keys and supporting notes were made and sufficient copies were printed. Simultaneously, investigators for data collection were identified by the Parishes at the BCC level under the guidance of the Archdiocesan survey team. Subsequently, trainings were conducted to impart necessary knowledge and skills to the enumerators identified for data collection. Under the direct monitoring of the Parish Priests, the enumerators collected data from the families at the BCC unit level in the parishes.

Data collection involved 2050 persons and took 6 months to cover the entire area. During the process, frequent visits and interactions were made by the survey team.

Data processingThe data thus collected in printed schedules were sorted out and minor errors were rectified. The entire data were then entered into a tailor-made SOFT WARE so that the outcome of the survey could be directly accessed by the parish priests to understand the profile and situation of each and every family in the Parish. Subsequently, it was decided to prepare a consolidated survey report which could be of immense support for multi-level planning processes in the Archdiocese for a reasonable period of time.

Accordingly, data entry was completed with the support of a team of technical personnel and a directory of families was released based on it. Finally, the work of tabulation and analysis of data together with the task of report formulation at the Forane and diocesan levels was entrusted with a State level specialized agency, ADHWANA. After tabulation of the entire data at the Forane and diocesan levels, interpretation and analysis of the data were completed. Forane-wise reports were separately prepared for 8 Foranes and an Archdiocesan report was prepared at the end. During this process, series of discussions took place with the Survey Coordination Team.


The ReportsEach report is organized into three chapters. This first chapter deals with context and methodology of the entire process of the census survey. The second chapter presents the data processed in interpretative narration with charts or tables, hinting on the findings and implications of the information. Where ever relevant, sex-wise and age-wise analysis was attempted. In the third chapter, a summary of findings, related conclusions and some recommendations are given. The recommendations are meant to provide a space for more thinking to address the problems reflected in the survey findings. However, it is for the concerned communities to collectively plan appropriate programs to address their issues in a meaningful manner.

In all cases, original tables are given in the Annexure, while charts and summary of some tables are included within the report at appropriate place.

Limitations of the Survey � Though it was planned to cover the entire families and all the parishes in 8 Foranes in the Archdiocese,

the coverage is subject to further verification with other sources of information such as Parish records.

� The usual data collection errors crept into the data to a small extent. The enumerators were mostly raw persons without prior experience in the job.

� Data requirement on a large number of subjects was not fully responded in several sectors and no data was available on those subjects.

� It was also found that some of the data available were not tallying with other related data, may be, due to differences in understanding the questions from the part of the interviewers and respondents.

� Since there were no earlier reliable reports or statistics corresponding to the regions and subjects cov-ered by this survey, the analysis could not be carried out by comparing or contrasting with the past situation.

Scope of the Survey � In spite of the above limitations, which one has to expect in any such large process, the present survey

has brought forth a very high level of qualified and quantified information useful for planning in sectors and localities covered in the survey.

� It brought forth conclusions and recommendations which could be followed up by the Archdiocese in the near future through its various Ministries and Commissions.

� It provides reasonable insights for other dioceses to take up similar processes for planning.

� The tables annexed to this report at the end will help individual parishes to find their situation and plan their programs accordingly.

Latin Archdiocese of TrivandrumLatin Archdiocese of Trivandrum consists of 8 ecclesiastical regions or Foranes. Though most of the regions are coastal areas, a substantial portion of the Archdiocese is interior. These areas may have an influence on the total picture of the socio-economic status of the entire population and families. A historical overview of the Archdiocese is given in the preliminary pages of the report.

TRIVANDRUM LATIN ARCHDIOCESE. 27

Chapter 2

PRESENTATION OF DATA

Having completed the separate reports of eight regions/Foranes, the present report is a consolidated narrative of the data on the entire families and individuals of the Latin Archdiocese of Trivandrum, covered by the socio-economic survey conducted in 2011-2012. It is the first of its kind in the 75 year history of the Archdiocese in terms of its geographical and subject coverage, size of data collected, number of volumes, comprehensiveness of the report and the vision behind it. Here in this chapter, an attempt is made to narrate the socio-economic and pastoral situation highlighting the important findings in view of the objectives for which this massive exercise was carried out. The report is organized as two sections, one for the family-related data and the other for the individual-related data. The sequence followed in the collection of data is kept in the narrative in order to help the readers to refer back to the source of the data.

SECTION ONE: FamiliesAccording to the processed data relating to the eight Foranes in the Latin Archdiocese of Trivandrum, the total respondent families are 585011. The total respondent population is 2178212 with 112287 (51.55%) males and 105534 (48.45%) females. In terms of number and percentage of families, Pulluvila forane is the biggest with 13107 families (22.40%), followed by Thoothoor Forane with 10004 families (17.10%) and Valiyathura forane with 9122 families (15.59%). In terms of number and percentage of individuals or members of the respondent families, the same ranking is observed with Pulluvila (48986) holding the first place, Thoothoor in the second place (38791) and Valiyathura (32331). Pettah is the smallest forane in terms of number of families (2485-4.25%) and individuals (8876 -4.06%).

Name of the ForaneFamilies Frequency %

Individuals frequency %

Anchuthengu 5095 8.71% 19787 9.04%Puthukurichy 7736 13.22% 28191 12.88%Pettah 2485 4.25% 8876 4.06%Palayam 3610 6.17% 12666 5.79%Valiyathura 9122 15.59% 32331 14.78%Kovalam 7342 12.55% 28193 12.88%Pulluvila 13107 22.40% 48986 22.39%Thoothur 10004 17.10% 38791 18.18%Total 58501 100.00% 217821 100.00%

1 There is a difference of 13 families (0.22%), when separate forane totals are added together. This may have cause due to errors in data entry. The total of 8 foranes added together amounts to 58488. 2 There is a difference of 31 persons (0.14%), when separate forane totals are added together.


Family-wise distribution of forane in the Diocese

5095

7736

24853610

9122

7342

13107

10004

HOUSING

Ownership of housesOwnership of a house by a family is considered as the most basic asset for progress and so the most important indicator for sustainable development, socio-economic status, rootedness, identity and long standing relationships. The subjects covered in housing sector were ownership of houses, type or quality of houses, number of rooms in the house and number of families living in a house. ‘The homeless’ is defined as those who do not have a house and so live with their parents, siblings, relatives or friends.

Table No 1 deals with ownership of houses in the Latin Archdiocese of Trivandrum. The concept of ownership in this survey included real ownership, possession and occupation of a house. It is noted that a majority of the families have own house (68.21%), while a sizeable section is homeless (22.07%). A few families live in rented houses (5.64%). (Chart No. 1)

Chart No. 1: Ownership of houses

68.21%

5.64%

22.07%

4.08%

Own

Rent

Homeless

No Data


Across the Foranes, Thoothoor forane tops the list of those who have their own house (70.21%), followed by Pulluvila (69.40%) and Palayam (69.39%). In the case of homeless families, Kovalam Forane leads with 26.45%, followed by Thoothoor (24.55%) and Pulluvila (24.12%).

Type or quality of housesTable No. 2 presents the type or quality of houses owned or possessed or occupied by the families who reported that they had their ‘own’ houses. Type or quality indicates the financial status of the owner. The largest section of families in the Archdiocese live in concrete houses (38.64%) followed by those who live in sheet roofed houses (13.11%) and tiled houses (11.09%). Quite a number of families live in thatched houses (5.02%). While 2.03% of families live in huts, several families live in multistoried houses (4%). This concern is not applicable to the homeless families. (Chart No. 2)

Chart No. 2: Type or quality of houses

2.03% 5.02%

13.11%

13.09%

38.64%

0.67%

4.00%

22.19%

1.25%

Hut

Thatch

Sheet

Tile

Concrete

Flat

Multistorey

NA

No Data

Looking at the Foranes, Anchuthengu forane has the largest percentage of families living in huts (3.98%), followed by Pulluvila (2.38%) and Puthukurichy (2.29%). In the case of families living in thatched houses, Anchuthengu Forane (9.99%) has the largest percentage, followed by Puthukurichy (7.30%) and Pulluvila (7.22%. At the same time, Pettah forane has the largest percentage of families living in concrete houses (46.60%), followed by Palayam (46.57%) and Puthukurichy (43.05%). Thoothoor forane has the largest percentage of families living in sheet-roofed houses (20.19%), followed by Kovalam (16.29%) and Pulluvila (13.53%). Pettah forane has the distinction of maximum proportion of families living in multistoried houses, while Palayam tops in the matter of families living in flats (3.46%).

Number of rooms in the housesAn analysis of the number of rooms in the houses surveyed in the Foronate is given in Table No.3. Number of rooms in the house indicates the size of the house and financial situation of the house owner. A simple majority of families (52.15%) has houses with 1-4 rooms, while others have bigger houses with more than 4 rooms (19.59%). 5.84% did not provide any information in this regard. (Chart No. 3)


Chart No. 3: Number of rooms in the houses

52.15%

19.59%

22.42%

5.84%

1-4 rooms >4 rooms not applicable no data

Glancing across the Foranes, it is found that Anchuthengu forane tops the list of houses with 1-4 rooms (53.90%), while Pettah forane leads those with more than 4 rooms (33.40%).

Number of Families accommodated in a single houseNumber of families living in single household is an indication of congested life without proper personal privacy. This may also indicate the presence of joint families in the Archdiocese. Table No.4 presents the number of families accommodated in a single house. Single families are accommodated in majority of the houses (55.24%). A sizeable percentage of houses have 2 families (18.42%), while 4.26% of houses have 3 families living in them. Some houses accommodate even more than 3 families (0.89%). (Chart No.4)

Chart No. 4: Number of Families accommodated in a single house

55.24%

18.42%

4.26%

0.89%

19.66%

1.53%No Data

Not Applicable

More than 3 families

3 families

2 families

1 family

In the forane level analysis, largest percentage of houses accommodating one family each is found in Pettah forane (70.50%), while largest percentage of houses accommodating 2 families each is found in Valiyathura forane (20.99%). Thoothoor has the largest percentage of houses accommodating 3 families each (5.05%) and more than 3 families each (1.16%).


The accommodation pattern of individual members in housesThe accommodation pattern of individual members of families in the available houses is reflected in Table No.5. Largest section of households accommodate 1-4 members (46.24%), followed by those households having 5-8 members (29.04%) and those having more than 8 members (4.10%) (Chart No. 5).

Chart No. 5: The accommodation pattern of individual members in houses

46.24%

29.04%

4.10%

19.17%

1.44%

(1-4) members

(5-8) members

>8 members

Not Applicable

No Data

Looking across the Foranes, the largest section of households accommodating 1-4 families is found in Palayam Forane (65.68%), closely followed by Pettah (64.02%). In the case of households accommodating 5-8 members, Thoothoor stands first with 33.62%. At the same time, in the matter of households accommodating more than 8 members, Kovalam leads with 5.56%.

LANDThis section deals with ownership, possession and occupation of land by the families, area-wise and sex-wise distribution of ownership/possession/occupation. It is found that the terms, ‘ownership’, ‘possession’ and ‘occupation’, are used interchangeably to mean that the land is currently utilized by the respondent families. It can be understood merely as control over the land under their occupation. Land is the most basic asset and its ownership indicates financial base, social status, pre-requisite for progress in future.

Ownership/ Possession and Occupation of various nature of LandAccording to the data given in Table No.6, (Chart No.6), in the Archdiocese, 61.15% of the families have their own land, while 20.16% of families are landless. While quite a number of families live in church land (6.41%), some others live in puramboku (4.14%). A few families are tenants (3.62%), while a smaller section lives in Otti land (1.35%).

Chart No. 6 Ownership/ Possession and Occupation of various nature of Land

61.15%

3.62%

4.14%

6.41%

1.35%

20.16%

3.16%

Own

Tenancy

Purambokku

Church

Otti

Landless

NA


Across the Foranes, in the case of own land, Pettah Forane stands first with 76.10%, closely followed by Palayam (74.63%) and Puthukurichy (73.35%). In the case of landless families, Kovalam is the topper with 23.90%, followed by Thoothoor with 22.69% and Pulluvila with 21.58%.

Land Area-wise distribution of familiesTable No. 7 reports the area-wise distribution of land among families who had some type of land under their ownership/ possession/ occupation. In the Archdiocesan level, the largest section of families has 1-5 cents (48.21%), followed by those who have 5-10 cents (13.41%). Some families have 10-15 cents (4.17%), while quite a number of families have more than 16 cents (6.20%). (Chart No.7)

Chart No.7: Area-wise distribution of families

48.21%

13.41%

4.17%

6.20%

24.87%

3.14%

1-5 cents

5-10 cents

10-15 cents

>16 cents

N A

No data

Looking at the Foranes, in the case of families having 1-5 cents, Thoothoor forane tops with 56.27%, followed by Pulluvila (54.11%) and Valiyathura (50.90%). In the case of families having more than 16 cents, Puthukurichy is the topper with 19.62% followed by Pettah with 7.81%.

Sex-wise distribution of landTable No.8 speaks about the sex-wise distribution of land ownership/ possession/ occupation. Gender dimension of land ownership is explored here. The largest section of families (32.62%) has their land in the name of the adult males, most probably in the name of the husbands. While the next largest section (17.10%) has their land registered in the name of the female adults, a large section (15.86%) has it jointly registered. (Chart No. 8)

Chart No.8: Sex-wise distribution of land

32.62%

17.10%

15.86%

5.14%

25.21%

4.08%

Male

Female

Joint

No Title Deed

NA

No data


Glancing across the Foranes, in the case of land registered in the name of the male adults, Thoothoor stands first with 47.97%, followed by Palayam (40.08%) and Pettah (34.81%). In the case of land registered in the name of females, Puthukurichy is the topper with 25.52%, followed by Pettah with 22.70%. In the case of joint registration, Puthukurichy (23.13%) followed by Valiyathura (21.57%) leads the list.

ENERGY CONSUMPTION

Energy consumption for cookingThe survey inquired about the source of energy used for cooking by the families in the Archdiocese and examined the number and percentage of families using one or more of the sources like smokeless stoves, traditional stoves, LPG, Biogas, solar energy and electricity. Variations in the use of energy sources were considered in the survey as an indicator of awareness about energy and its sources, impact of use of energy on climate change and sustainable development and impact on family expenditure.

Table No.9 reveals that considerable majority (57.14%) use traditional stove using fire wood, may be, together with other sources, followed by those who use LPG (52.26%) and those who use electricity (38.77%). Very few families use non-conventional sources of energy such as biogas (5.11%), smokeless stove (4.95%) and solar (0.45%). (Chart No.9)

Chart No.9: Energy consumption for cooking

4.95%

57.14%

52.26%

5.11%

0.45%

38.77%

10.31%

Smokeless Stove

Ordinary Stove

LPG

Bio-Gas

Solar

Electricity

None

Across the Foranes, in the case of users of traditional stove, Pulluvila and Puthukurichy lead with 28.03% and 15.88% respectively. In the case of biogas users, Pulluvila (34.62%) tops, followed by Thoothoor (20.87%). In the case of users of smokeless stove, Thoothoor (30.52%) tops, followed by Pulluvila (21.44%).

ECONOMIC CONDITIONSIn order to gauge the economic base of the families of the Archdiocese, the status of ownership of home appliances, vehicles, fishing assets, other occupational assets and trade and commerce was explored in the survey. Subscription to media and publications was also considered in this regard.


Home appliancesOwnership of one or more of the home appliances was related to the economic position of the families. Table No10 deals with the use of home appliances by the families in the Archdiocese. Exactly as found in the forane level analyses, home appliances such as fan (67.32%), mixey (60.10%) and fridge (41.08%) are the most popular ones among the families. The next largest section uses CD player (21.75%) and grinder (20.83%). Several families have computers (8.89%) and tape recorders (6.06%), while only a few have Air conditioners (2.34%). But, one fifth of the families (20.46%) do not have any of the home appliances. (Chart No.10)

Chart No.10: Home appliances

41.08%

60.10%

20.83%

11.21%

67.32%

21.75%

6.06%

8.89%

2.34%

20.46%

Fridge

Mixey

Grinder

Washing Machine

Fan

CD Player

Tape Recorder

Computer

AC

None

Ownership of VehiclesOwnership of vehicles is another important indicator of economic status of the families (Table No.11). It is found that a large majority of the families (71.04%) do not have any of the listed vehicles. Among the rest, two-wheeler owners are the largest section (17.65%), followed by bi-cycle owners (7.61%) and four wheeler owners (5.70%). (Chart No 11)

Chart No 11: Ownership of Vehicles

7.61%

17.65%

5.70%

71.04%

Bi-Cycle

Two Wheeler

Four Wheeler

None

Across the foranes, in the case of two wheeler owners, Valiyathura forane ranks first with 24.03%, followed by


Palayam (15.19%). In the case of bi-cycle owners, Puthukurichy leads with 26.66%, followed by Valiyathura with 19.38%. In the case of four wheeler owners, Palayam (25.09%) and Pettah (20.74%) are the toppers.

Media and PublicationsThe use of and subscription to various visual and print media products is an indication of financial position, involvement in public affairs, level of civic sense and thirst for knowledge. Table No.12 presents the data regarding the ownership/use of news papers, periodicals, telephones, mobile phones and televisions. List of items listed for specific enquiry included news papers, Jeevanum Velichavum (the Archdiocesan monthly), Jeevanadam promoted by the Latin Catholic Church in Kerala, other publications, television, land phone, mobile phone and internet.

Among the Archdiocesan population, Televisions (62.11%) and mobile phones (56.98%) are the most popular items. They are followed by daily news papers (21.88%) and land phones (20.05%). Very few families subscribe to Jeevanum Velichavum (3.32%) and Jeevanadam (0.84%). A sizeable section of families do not have any of the listed media and publications. (Chart No.12)

Chart No 12: Media and Publications

21.88%

3.32%

0.84%

5.04%

62.11%

20.05%

56.98%

3.99%

23.28%

Daily

Jeevanum Velichavum

Jeevanadam

Other

T.V

Land Phone

Mobile

Internet

None

Across the Foranes, in the case of families subscribing to daily news papers, Valiyathura leads with 22.71%, and in the case of Jeevanum Velichavum and Jeevanadam, Palayam Forane is the topper with 20.19% and 20.08% respectively.

Subscription to the media and publications extends beyond mere economic profiles of the families. It follows that a substantial percentage of families stood excluded from the reach of media and publications and means of modern communication. Further enquiries would be needed to probe further the impact of this situation.

Ownership of Fishing AssetsOwnership of Fishing Assets was an important and direct indicator for the economic base of the families who are predominantly Mukkuvars with fishing as their major source of livelihood. Table No.13 deals with this subject. A vast majority of families (88.73%) do not possess any one of the listed fishing equipments. The rest of the families own one or the other or more than one of the 15 listed equipments. Comparatively, more families have canoes (3.53%), catamaran (2.69%), choonda (1.93%), chalavala (1.23%) and thattumadi (1.12%). (Chart No. 13)


Chart No. 13: Ownership of Fishing Assets

1.34%

1.31%

0.63%

3.53%

2.69%

0.52%

1.23%

1.12%

0.89%

1.93%

1.02%

0.18%

0.23%

0.39%

0.14%

0.30%

88.73

%

Mac

hine

Boat

Out B

oard

Engin

e

Ordin

ary B

oat

Cano

eCa

ttam

aran

Kam

ba Va

la

Chala

Vala

That

tum

adi

Disco

vala

Choo

nda

Kach

avala

Troll

Net

Gill N

et

Vees

huva

la

Otta

thad

i

Othe

rsNo

ne

Across the Foranes, in the case of families who do not have any of the fishing equipments, Pulluvila stands at the top with 22.02%, followed by Valiyathura (16.25%).

Other EquipmentsRegarding the ownership of other equipments as assets for livelihood, besides fishing equipments, a number of items were considered by the survey as given in Table No.14. Even larger section of families (89.28%) does not possess any other occupational equipments. Sewing machines (7%), auto-rikshaws (1.65%) and cameras (0.65%) are the popular equipments owned by the rest of the families. (Chart No. 14)

Chart No.14: Possession of Other Equipments

7.00%

0.62%

1.65%

0.31%

0.15%

0.02%

0.13%

0.02%

0.23%

89.28%

Sewing machine

Camera

Auto Rikshaw

Taxi

tempo

Bus

Lorry

JCB

Others

None


Trade and CommerceTable No.15 presents data on proprietorship or ownership of firms, businesses or self-employment units in the Archdiocese. It is noted that a very vast majority of families (91.29%) do not have any trade and commercial activities. Among the others, self employment unit owners (3.83%), petty shop owners (1.12%) and shop keepers (0.69%) are the major sections. (Chart No 15)

Chart No. 15: Trade and Commerce

1.12%

0.69%

0.19%

3.83%

0.28%

0.83%

91.29%

Petty shop

Shop

Shopping mall

Self Employed

Business

Other

None

AgricultureAgriculture as reported here excluded fishing and included popular crops found in Kanyakumari District and southern Kerala. Table No.16 provided the details regarding the distribution of families having various crops. But, among the Archdiocesan population, vast majority of families (88.18%) do not have any agricultural activities or cultivation of crops. Others have crops like coconuts (5.30%) and plantains (1.75%) in a minor way. (Chart No. 16)

Chart No 16: Agriculture

0.04%

5.30%

0.17%

0.04%

0.41%

1.75%

0.48%

0.54%

2.93%

0.33%

0.69%

0.19%

88

.18%

Padd

y

Coco

nut

Rubb

er

Cash

crop

s

Tapio

ca

Plant

ain

Vege

tabl

es

Flowe

rs

Fish

Lives

tock

Poult

ry

Othe

rs

None


Lack of land, lack of an agricultural tradition other than fishing, lack of interest in and knowledge of agriculture and lack of exposure to farming communities may be behind this low participation of fishing communities in agriculture in the area under observation. Participation in agriculture is also considered as an indicator of the communities’ awareness of the need for alternative employment options in view of depleting fishery related sources of livelihood.

Spending Pattern (Monthly Expenses for food)A family’s monthly expenses for food, education and health care are considered pointers to the financial position of the family and priorities in spending by the family. These are basic needs and one can not escape from such expenses in any case. Table No.17a contained details of the expenses for food. Three categories were made for the sake of analysis: families who spend less than Rs.2000/- and families who spend between Rs. 2000/- and Rs.3000/- per month and families who spend more than Rs.3000/- for food alone.

The largest section of families (45.44%) spend between Rs.2000-3000/- per month for food expenses, followed by those who spend more than Rs.3000/- per month and those who spend less than Rs.2000/-. (Chart No. 17a)

Chart No 17a: Spending Pattern (Monthly Expenses for food)

6.62%

11.52%

45.44%

36.42%

No data

<2000

2000-3000

>3000

Monthly Expenses for EducationThis sub-section speaks about how families in the Latin Archdiocese of Trivandrum spend for education of their children. Three categories were made with families who spend less than Rs.2000/- per month and families who spend between Rs. 2000/- and Rs.3000/- per month and families who spend more than Rs.3000/- for education. The Rs.2000/- mark was considered as a reasonable amount per month for all expenses for good education to the children, including English medium in good schools and educational institutions.

Majority of the families (55.23%) reportedly does not spend anything for education, may be, because they do not have any one studying in their families. Excluding them, it is found that the largest section (19.54%) spends more than Rs.2000/- per month for education. A sizeable section of families (16.76%) spend between Rs.2000/- and Rs.3000/- per month. A smaller section (8.47%) spends more than Rs.3000/-.(Table No.17b and Chart No.17b)

Chart No.17b: Monthly Expenses for Education

55.23%

19.54%

16.76%

8.47%

Not Applicable

<2000

2000-3000

>3000


Monthly Expenses for medical care and treatment Health is another important area where families spend regularly. Three categories were made with families who spend less than Rs.500/- per month and families who spent between Rs.500 and Rs.2000/- and above Rs.2000/- per month and families who spend more than Rs.3000/- for medical expenses. According to Table No. 17c, largest section of families spends more than Rs.1000/- per month (59.90%) and a sizeable section spends less than Rs.500/- per month for medical treatment (24.30%). (Chart No. 17c)

Chart No. 17c: Monthly Expenses for medical care

14.12%

24.30% 1.67%

59.90%

None

<500500-1000

>1000

Across the Foranes, Thoothoor (12.93%) and Pulluvila (12.43%) stand higher in the case of families spending more than Rs.1000/- for medical expenses.

DebtDebt is another important indicator of economic status of families. Table Nos. 18 and No. 19 deals with debts incurred by the families. According to the available data, majority of the families (69.01%) has debts of some volume. (Chart No 18)

Chart No 18: Debts

30.99%

69.01%

No

Yes

Across the Foranes, in the case of families having debts, Kovalam stands higher than others with (70.92%, followed by Pulluvila (69.42%).

Current size of DebtsThe largest section of the families (29.47%) have lowest category of debts (below Rs.50000/-), followed by those (20.86%) having higher amounts of debts (6-10 lakhs). Several families have debts of more than 10 lakhs rupees (9.61%), while some families have debts of 1-3 lakhs (14.81%) and some others have debts of Rs.50000/- to Rs.100000/-. (Chart No. 19)


Chart No. 19: Current size of Debts

29.47%

14.56%

14.81%

20.86%

9.61%

4.41%

3.17%

3.10%

0-50000

50000-1 lakh

1-3 lakh

3-6 lakh

6-10 lakh

>10 lakh

None

No data

Ration CardsTable No. 20 presents the status of ration card holding by the families. Ration card is one of the basic entitlements of a citizen and family of citizens. In the Archdiocese, 85.40% of the families have ration cards. (Chart No. 20)

Chart No. 20: Ration Cards

14.60%

85.40%

No

Yes

Glancing across the Foranes, Valiyathura (19.98%) stands higher in the case of families who do not possess ration cards, closely followed by Thoothoor (19.21%). In the case of those who have ration cards, Pulluvila stands first (92.97%).

APL and BPL FamiliesA simple majority of families are registered under the APL category (55.09%), while only 22.77% are in the BPL category. (Table No.21 and Chart No.21)

Chart No.21: APL and BPL Families

22.14%

55.09%

22.77%

N/AAPL

BPL


Sizeable sections of families are found to be included in BPL list in the foranes of Pulluvila topping the rest with 28.64%, and Valiyathura (28.40%) and Kovalam (28%) closely following.

Medical InsuranceMedical insurance is a social security measure intended to support the families financially in times of health needs and health crisis and is an important criteria for economic wellbeing. However, Table No.22 reports that large majority of families (64.18%) does not have any of the health insurance policies. (Chart No 22)

Chart No. 22: Medical Insurance

64.18%

35.82%

No

Yes

Looking at the Foranes, in the case of families not having health insurance, Thoothoor is the topper with 85.03%, followed by Pettah (72.03%) and Valiyathura (71.93%). Among those who have it, Anchuthengu (51.50%) and Kovalam (50.44%) are the toppers.

ToiletsToilets used for sanitation was considered as an indicator of basic needs, health status, personal and family privacy and civic sense. Table No.23 deals with this aspect. In the Archdiocese, large majority of the families (80.74%) have attached toilets. However, a sizeable section depends on public toilets (10.55%-6172), while a substantial section (5.89%-3446) goes to open air for defecation. (Chart No 23).

Chart No. 23: Toilets

80.74%

10.55%

5.89%

2.82%

Attached

Public

Open Air

No data

Pettah Forane is found to have the largest section of families with attached toilets (95.33%), while Pulluvila ranks first in the case of families using public toilets (20.58%). Anchuthengu is found to have the largest section of families going to open air for defecation (12.27%-625).

Source of WaterSource of water for domestic purposes and drinking was included in the survey as an important indicator for wellbeing and healthy life. According to Table No.24, the largest section of families use public pipe (33.84%) for drawing water for drinking, followed by those having water connection at home (28.15%), bore well (20.29%), own well (20.25%), nearby houses (11.38%) and public well (6.76%). It is found that 4.57% of families purchase water for drinking (2674) at commercial rates. (Chart No 24)


Chart No 24: Source of Water

20.25%

6.76%

28.15%

33.84%

20.29%

0.03%

4.57%

0.12%

11.38%

Own well

Public well

Water connection

Public Pipe

Borewell

Canal

Water purchased

Rainwater harvested

From nearby houses

Across the Foranes, in the matter of purchasing water for drinking, Kovalam Forane stands at the top (78.53%-2100), followed by Thoothoor (9.24%), Pulluvila (7.11%) and Puthukurichy (2.80%).

DrainageSurvey looked into the manner in which the families managed their waste water or used water and other liquid matter. This aspect had an influence on the health and hygiene of the families and their neighborhoods. Table No.25 describes the distribution of drainage types. In the Archdiocese, the largest section of families has planned pits (47.17%), while 11.44% have drainage system of some type. It is worrying to note that a large section of people (40.21%) do not have any place to drain their waste water. It implies that they just let go their waste water in the open space. (Chart No. 25)

Chart No. 25: Drainage

11.44%

47.17%

40.21%

Drains

Planned Pits

None

Across the Foranes, in the case of families having no place to drain their waste water, Pulluvila is the topper with 29.24%, followed by Thoothoor (16.10%) and Anchuthengu (14.37%). In the case of families having planned pits, Valiyathura stands at the highest, followed by Thoothoor (20.44%) and Pulluvila (17.28%).

Solid waste disposalThe manner in which families disposed their solid waste was examined by the survey because this was an important indicator of health and hygiene as well as civic sense. Table No.26 reveals that while the largest section (39.03%) dumps their solid waste into the open air, the next larger section throws away their waste into the water sources (32.41%-18959). Some families use public bins for waste disposal (9.32%), some others give their waste to the waste collectors (8.50%). (Chart No. 26)


Chart No. 26: Solid waste disposal

39.03%

9.32%

32.41%

8.50%

11.88%

Own land

Public Bin

Water Sources

Given to waste collectors

Other

Glancing across the Foranes, in the case of those families dumpling their solid waste into water sources, Pulluvila stands at the highest position with 34.47% (6535), followed by Thoothoor (30.22%) and Anchuthengu (12.93%).

EDUCATION

Education support given to children

Education is a major area of focus in the survey. Various aspects dealing with education of the children are examined such as study facilities at home, parents’ monitoring and community support to students. Tables (No.27, No.28 and No.29) deal with these aspects respectively.

Study facilities at homeThe survey inquired if the students had tables and chairs, proper study time at home and study materials. Largest section of families (34.21%) reports that they have tables and chairs for the children to study at home. Substantial number of families has study time arranged for children (25.82%) and study materials (23.06%). It is found that a very large section of families have no one studying (44.38%) at the time of the survey. (Chart No. 27)

Chart No. 27: Study facilities at home

34.21%

25.82%

23.06%

10.77%

44.38%

Table & Chair

Study time

Study materialsNone

Not Applicable

Across the Foranes, in the case of families providing tables and chairs for the children to study at home, Pulluvila Forane tops with 20.18%, followed by Valiyathura (17.81%) and Thoothoor (15.61%). In the case of study time and provision of study materials, Pulluvila forane is the topper, with Valiyathura closely following.


Frequency of time spent by the parents for monitoring their children’s studyTable No.28 measured the duration of time spent by the parents for monitoring their children’s study. 44.50%, the largest section, always monitor their children’s study, followed by those who occasionally do this (7.77%) and those who do this only during exam time (1.31%). Some parents are unable to monitor their children’s study (1.51%). A very large section seems to have nobody studying in the family (39.40%). (Chart No. 28).

Chart No. 28: Frequency of time spent by the parents for monitoring their children’s study

44.50%

7.77%

1.31%

1.51%

39.40%

5.50%

Always

Occassionally

Exam Time

Unable to monitor

Not applicable

No data

Across the Foranes, in the case of families who always monitor their children’s education, Palayam Forane stands at first place with 50.30%, very closely followed by Puthukurichy (49.44%) and Pettah (47.48%).

Types of Community supportTable No.29 deals with the types of community support made available to children for their study. The possibilities of financial assistance, provision of study facilities, supervisory attention, free tuition and guidance were reviewed as supports from the community including parishes. Majority of the families seems to consider being ‘not applicable’ to this support (52.80%). Of the rest, the largest section (33.10%) does not receive any of the supports listed in the survey from the community. While some families acknowledge the receipt of financial support (4.10%), some others (3.09%) receive free tuition. Very small percentage of families receives guidance (2.62%), study facilities (2.21%) and guidance (1.83%). (Chart No. 29)

Chart No. 29: Types of community support

4.10%

2.21%

1.83%

3.09%

2.62%

33.10%

52.80%

Financial support

Study Facilities

Monitoring responsibility

Free Tution

Guidance

NoneNot Applicable

Across the foranes, in the case of those families who receive no support, Pulluvila forane leads with 23.16%, followed by Valiyathura (18.90%) and Puthukurichy (14.02%).


FAITH LIFEThe next three tables deal with various aspects of faith life of the families in the Arch diocese.

Table No.30 reports that a very large section of families (91.61%) has P O C Bible at home. Only very small section does not have it. (Chart No. 30)

Chart No. 30: Families possessing P O C Bible

8.39%

91.61%

No

Yes

In this connection, across the Foranes, Pettah (97.18%) very closely followed by Palayam (97.17%) and Puthukurichy forane (96.28%) are the toppers in possessing the Bible at home. Among those who do not have, Kovalam is the topper with 15.95%.

Participation in Family PrayerAccording to Table No.31, a vast majority of families (81.92%) always make family prayers at home, while quite a number of families occasionally do this (10.30%). It is noted that 6.43% never make family prayers at home. (Chart No. 31)

Chart No 31: Participation in Family Prayer

81.92%

6.43%

10.30%

1.35%

Always

Never

Occasionally

No data

Across the foranes, in the case of families that make family prayers always, Puthukurichy (90.19%) and Anchuthengu are the toppers (86.85%). In the case of those who never do family prayer, Kovalam (11.06%) and Pulluvila (8.68%) are the first and second rank holders respectively.

Participation in B C C MeetingsTable No.32 provides the information that a large majority of families participates in BCC meetings (71.74%), followed by those who occasionally participate (20.63%). 5.76% of families never attend BCC meetings. Chart No. 32


Chart No. 32: Participation in B C C Meetings

71.74%

20.63%

5.76%

1.87%

Consistently

Occassionally

Never

No Data

Across the foranes, in the case of those who consistently participate in BCC meetings, Thoothoor forane leads with 79.66%, followed by Pulluvila (77.90%) and Puthukurichy (73.19%). In the case of those who never participate, Pettah (9.94%) and Palayam (9.53%) are the toppers.

Death within three yearsMortality rate of the people in a particular country or region is of great relevance in calculating the longevity or health of its people. According to Table No.33, in a vast majority of families (88.84%) in the Archdiocese no death occurred during the last three years. There are many reasons for death in the remaining families such as death due to deceases (3.54%-2071), old age (3.34%), normal death (0.84%), accidents (0.75%-438), infant death (0.54%), suicide (0.34%-198) and murder (0.05%-28) (Chart No. 33).

Chart No. 33: Death within three years

88.84%

0.54%

3.37%

3.54%

0.75%

0.34%

0.05%

0.84%

None

Child Death

Oldage Death

Death due to diseases

Accident Death

Suicide

Murder

Natural Death

Across the foranes, in the matter of death due to diseases, Thoothoor forane is the topper with 22.02%, followed by Pulluvila (19.65%) and Valiyathura (17.19%). In accident deaths, Pulluvila tops with 22.83%, followed by Thoothoor (20.55%).In the case of suicides, Puthukurichy leads with 22.73%. In the case of murder, Pulluvila has a distinction of 53.57% (15) of 28 murders committed in the Archdiocese during the last three years.

SECTION TWO

Individual members of the families surveyedThe second section of this chapter is devoted to report the information regarding the individual members of the families in the Latin Archdiocese of Trivandrum. There were 217821 persons covered in the survey from the 8 Foranes. Sector-wise and subject-wise collection of data was carried out with regard to the members.


Name of the ForaneFamilies Frequency %

Individuals frequency %

Anchuthengu 5095 8.71% 19787 9.04%Puthukurichy 7736 13.22% 28191 12.88%Pettah 2485 4.25% 8876 4.06%Palayam 3610 6.17% 12666 5.79%Valiyathura 9122 15.59% 32331 14.78%Kovalam 7342 12.55% 28193 12.88%Pulluvila 13107 22.40% 48986 22.39%Thoothur 10004 17.10% 38791 18.18%Total 58501 100.00% 217821 100.00%

As seen in the chart below, in the Archdiocese, Pulluvila is the biggest Forane in terms of number of people with 48986 individuals (22.49%), followed by Thoothoor with 38791 persons (17.81%), Valiyathura with 32331persons (14.84%), Kovalam with 28193 (12.94%) and Puthukurichy with 28191(12.94%).The smallest forane in this regard is Pettah with 8876 persons (4.07%), the only Forane with less than 10000 people.

Member-wise distribution of parishes in frequency and percentage

Sex-wise distribution of the populationAccording to Table No.34, in the Archdiocese, there are more males (51.55%-112287) than females (48.45%-105534). Sex ratio in the Archdiocese is 939.85, meaning that for 1000 males there are only 939.85 females. The situation is very much disadvantageous to females in gender terms. The sex ratio is much lower than that of the State of Kerala with 1084 in 2011. (Chart No. 34)

Chart No. 34: Sex-wise distribution of the population

48.45%

51.55%

Female

Male

Age-wise distribution of the total populationThe largest section of people in the Archdiocese belongs to the age group of 22-40 years with 73403 persons (33.70%), followed by the age group of 41-60 years with 48490 (22.26%) and the age group of 6-15 years with 36257 (16.65%) and the age group of 1-5 years with 20895 children (9.59%). There are 17642 senior citizens above 60 years (8.10%) in the Archdiocese (Table No.35 and 35 a).


Chart No. 35: Age wise distribution of Population (in numbers)

20895

36257

6994

14141

73403

48490

17642

1-5 yrs

6-15 yrs

16-17 yrs

18-21 yrs

22-40 yrs

41-60 yrs

>60yrs

Chart No. 35a: Age wise distribution of population in percentage

9.59%

16.65%

3.21%

6.49%

33.70%

22.26%

8.10%

1-5 yrs

6-15 yrs

16-17 yrs

18-21 yrs

22-40 yrs

41-60 yrs

>60yrs

Blood GroupsTable No.36 deals with the distribution of persons according to their blood group. In general, majority of the population in the Archdiocese does not know their blood group (51.06%) and 7.31% of people did not provide any information. Among others, the largest section consists of persons with O+ (15.60%), followed by B+ (11.24%) and A+ (7.68%). (Chart No. 36)

Chart No. 36: Blood Groups

7.68%

1.11%

11.24%

1.29%

2.06%

0.44%

15.60%

2.18%

51.06%

7.31%

A+A-

B+B-

AB+

AB-

O+

O-

Do not know

No Data


Blood Groups of persons in the age group 18-45 yearsPersons in the age group of 18-45 were separately considered as it was the most eligible group to donate blood. Therefore, their prevalence in the region was specially analyzed. Table No 36a presents the findings. Here, to, almost half the population (48.27%) do not know their blood group. 6.68% did not give any information. Of the remaining people, persons with O+ (16.67%) leads, while persons with B+(12.15%) and A+ (8.43%) following. Among those with rare blood groups, persons with O- (2.36%) are the toppers with B- (1.47%) and A- (1.21%) following respectively. (Chart No 36a)

Chart No 36a: Blood Groups of persons in the age group 18-45

8.43%

1.21%

12.15%

1.47%

2.24%

0.46%

16.67%

2.39%

48.27%

6.68%

A+

A-

B+

B-

AB+

AB-

O+

O-

Do not know

No Data

Marital statusThe marital status of total number of respondents in the Archdiocese was examined in the survey and is presented in Table No.37. A large section (48.62%) is found as married, while a smaller section (38.16%) is unmarried. 3.76% of the population is widows, while there are only 0.76% widowers. While there are 0.38% of women abandoned by their husbands, there are 0.21% husbands abandoned by their wives. Not a small section is found living together without proper marriage. (Chart No. 37)

Chart No. 37: Marital status

48.62%

38.16%

0.74%

3.76%

0.23%

0.38%

0.21%

0.07%

2.21%

5.62%

MarriedUnmarriedWidowers

WidowsDivorced

Abandoned by husbandAbandoned by wifeUnmarried mother

Living togetherNo Data


Marital Status of the persons above 40 yearsMarital status of the people above the age group above 40 years was examined and it is found that a very small section of people remains unmarried after 40 years of age (2.43%) and that 79.47% are married. Percentage of widows among people above 40 years of age is much larger (10.67%) than that found among the general population (Table No.37a and Chart No.37a).

Chart No.37a: Marital Status of the persons above 40 years

79.47% 2.43%

1.55% 10.67%

0.34%

0.72%

0.42%

0.13%

1.78%

2.50%

MarriedUnmarriedWidowers

WidowsDivorced

Abandoned by husbandAbandoned by wifeUnmarried mother

Living togetherNo Data

Life StatusThe survey tried to categorize the respondents according to various positions they held in their current life. According to the details given in Table No.38, workers (26.06%), students (22.16%) and the unemployed (20.82%) are the major categories found among the people in the Archdiocese. Only a small section is reportedly employed in Governments (4.68%), while 2.72% are pensioners. There are 2.41% dropped out students and 5.43% job aspirants. (Chart No. 38)

Chart No. 38: Life Status

8.29%22.16%

2.41%5.43%

26.06%20.82%

4.68%0.29%

2.72%0.38%0.36%

6.40%

Children<4Student

Dropped out studentJob Aspirant

WorkerUnemployed

EmployedSocial Worker

PensionerSemiarian /Aspirant

Priest /NunNo Data


Educational QualificationsThe current status of education of the respondents as shown in Table No.39 was analyzed. The available data show that in the Archdiocesan level the largest section of people have education up to the level of High School (20.74%), followed by those who completed Upper Primary level (UP) (13.75%) and those with Lower Primary level (LP) (11.93%). There are, however, a substantial number of persons with Higher Secondary School (HSS) level of education (9.85%). The number of persons with Degree and above is smaller with 6.26% degree holders, 2.31% with professional qualifications and 1.81% post graduates. There are of course some people with Diplomas and Post graduate diplomas and certificates.

In the Archdiocese, 9.39% of people are illiterate. This rate of literacy is slightly less than the Kerala State average of 93.91% (2011). (Chart No. 39)

Chart No. 39: Educational Qualifications

9.39%

5.49%

5.37%

5.06%

11.93%

13.75%

20.74%

9.85%

6.26%

1.81%

0.59%

2.31%

0.96%

0.29%

0.77%

0.24%

0.77%

4.41%

Illiterate

Not Studying

Mere Literate

KG

LP

UP

HS

HSS

Degree

PG

M.Phil /PhD

Professional

Technical

Certi�cate

Diploma

PG Diploma

Other

No Data

Sex-wise distribution of educational qualifications in the age group of 5-15 yearsIn the age group of 5-15 years, males are found to out number females in all levels expect in the case of post-graduation, M. Phil./PhD and Professional qualifications. (Table No. 39a and 39i)


Table No. 39i: Sex-wise distribution of educational qualifications in the age group of 5-15 years

Row Labels F M Grand Total

Illiterate 0.33% 0.38% 0.71%

Not Studying 0.56% 0.66% 1.22%

Mere Literate 1.08% 1.25% 2.33%

KG 5.93% 6.17% 12.10%

LP 14.93% 16.27% 31.20%

UP 12.59% 13.49% 26.08%

HS 9.87% 9.87% 19.74%

HSS 1.50% 1.15% 2.64%

Degree 0.11% 0.14% 0.25%

PG 0.05% 0.03% 0.08%

M.Phil /PhD 0.01% 0.00% 0.01%

Professional 0.03% 0.02% 0.05%

Technical 0.01% 0.02% 0.03%

Certificate 0.01% 0.01% 0.01%

Diploma 0.01% 0.02% 0.03%

PG Diploma 0.01% 0.02% 0.03%

Other 0.14% 0.20% 0.34%

No Data 1.58% 1.56% 3.14%

Grand Total 48.75% 51.25% 100.00%

Sex-wise distribution of educational qualifications in the age group of 16-25 yearsIn the age group of 16-25 years, starting from illiterates, up to the level of High School, males are found more than females, while, in higher levels starting from Higher secondary, females dominate, except in the case of technical, Diploma and PG Diploma courses, though the difference in percentage points is nominal. (Table No. 39a and 39i)

Table No.39i: Sex-wise distribution of educational qualifications in the age group of 16-25 years

Row Labels F M Grand TotalIlliterate 0.62% 0.81% 1.44%Not Studying 0.93% 1.13% 2.06%Mere Literate 1.35% 1.75% 3.10%KG 0.16% 0.26% 0.43%LP 0.90% 1.63% 2.54%


UP 3.39% 4.89% 8.28%HS 11.01% 12.59% 23.59%HSS 13.52% 12.84% 26.35%Degree 8.72% 5.93% 14.65%PG 1.62% 0.96% 2.57%M. Phil /PhD 0.68% 0.44% 1.12%Professional 3.28% 2.54% 5.82%Technical 0.54% 1.35% 1.88%Certificate 0.26% 0.25% 0.51%Diploma 0.59% 0.98% 1.57%PG Diploma 0.15% 0.16% 0.31%Other 0.62% 0.60% 1.22%No Data 1.29% 1.27% 2.56%Grand Total 49.63% 50.37% 100.00%

Sex-wise distribution of educational qualifications in the age group of 26-35 yearsIn the age group of 26-35 years, males are found dominating in all the listed levels of educational qualifications, except in the case of HSS, Degree, Post graduates and M. Phil. (Table No. 39b and 39ii),

Table No.39ii: Sex-wise distribution of educational qualifications in the age group of 26-35 years


Illiterate 2.30% 3.34% 5.64%

Not Studying 1.20% 1.50% 2.70%

Mere Literate 2.81% 3.31% 6.12%

KG 0.45% 0.70% 1.15%

LP 2.74% 3.93% 6.67%

UP 6.54% 7.28% 13.82%

HS 12.88% 13.77% 26.66%

HSS 5.83% 5.73% 11.56%

Degree 5.18% 4.29% 9.47%

PG 2.14% 1.60% 3.74%

M. Phil /PhD 0.61% 0.53% 1.15%

Professional 1.93% 2.07% 4.00%

Technical 0.22% 1.19% 1.41%

Certificate 0.16% 0.22% 0.39%

Diploma 0.36% 0.93% 1.29%

PG Diploma 0.18% 0.23% 0.42%


Other 0.40% 0.50% 0.90%

No Data 1.51% 1.41% 2.93%

Grand Total 47.45% 52.55% 100.00%

The above analysis shows that males are more in lower levels than females in both the age groups. With regard to higher and technical education, females are more in the age group of 16-26 years, while males are in a more advantageous situation than females in the age group of 26-35 years.

Medium of Instruction opted for school educationTable No.40 reveals the distribution of medium of instruction among persons who had a chance to go to school in their life time. In general, majority chose Malayalam medium for their education (56.09%), while only 15.73% of people opted for English, followed by those who took Tamil (12.68%). Only a small section selected Hindi as their medium of instruction. Selection of medium is not applicable to 5.18% of people. Some people did not give any information regarding this question (10.16%). (Chart No. 40)

Chart No. 40: Medium of Instruction opted for school education

56.09%

15.73%

12.68%

0.16%

5.18%

10.16%

Malayalam

English

Tamil

Hindi

Not Applicable

No Data

Sex-wise distribution of Medium of Instruction for education in the age group of 5-15 yearsIn the age group of 5-15 years, more boys than girls chose the listed languages as their medium of instruction. English (41.19%) is the most preferred medium of instruction, with Malayalam (40.95%) following very closely (Table No. 40a and 40i).

Table No.40i: Sex-wise distribution of Medium of Instruction for education in the age group of 5-15 years

Row Labels F M Grand TotalMalayalam 19.94% 21.01% 40.95%English 19.91% 21.29% 41.19%Tamil 5.90% 6.11% 12.01%Hindi 0.13% 0.14% 0.27%Not Applicable 0.71% 0.66% 1.37%No Data 2.16% 2.05% 4.21%

Grand Total 48.75% 51.25% 100.00%


Sex-wise distribution of medium of instruction of the age group 16-25 years According to Table No. 40b and 40ii, except in the case of English medium, more males chose all other three listed languages, though the difference in percentage points is very small. Malayalam (56.63%) is the most preferred medium for this age group.

Table No. 40ii: Sex-wise distribution of medium of instruction of the age group 16-25 years


Malayalam 28.14% 28.49% 56.63%

English 10.43% 10.34% 20.77%

Tamil 6.97% 7.21% 14.19%

Hindi 0.05% 0.08% 0.13%

Not Applicable 0.84% 1.05% 1.90%

No Data 3.20% 3.19% 6.39%

Grand Total 49.63% 50.37% 100.00%

Sex-wise distribution of Medium of Instruction for education in the age group of 26-35 yearsIn the age group of 16-25 years, as the Table No.40c and 40iii shows, more males took all the listed languages than girls as their medium of instruction for education. In this age group also, Malayalam is the most preferred language with 63.63% opting it.

Table No. 40iii: Sex-wise distribution of Medium of Instruction for education in the age group of 26-35 years


Malayalam 30.31% 33.32% 63.63%

English 4.00% 4.97% 8.97%

Tamil 7.12% 7.98% 15.10%

Hindi 0.07% 0.09% 0.16%


No Data 4.11% 4.44% 8.55%

Grand Total 47.24% 52.76% 100.00%

Subjects opted for studies after ‘Plus Two’As given in Table No.41, a large majority of people (72.94%) do not find the question applicable to them, may be because, they have not gone beyond ‘Plus Two’ level of education and a sizeable section do not provide any data on this (8.68%). Among those who have gone above HSS, most of the persons preferred Science (3.97%), Arts (2.77%), Commerce (2.56%), Literature (1.50%) and Engineering (1.40%). Not many chose other subjects like management, fine arts, law, Medicine, architecture, journalism, I T I trades and other professional subjects (Chart No. 41).


Chart No. 41: Subjects opted for studies after ‘Plus Two’

72.94%

1.50%

2.77%

3.97%

2.56%

0.43%

0.13%

0.15%

1.40%

0.37%

0.06%

0.06%

1.04%

1.18%

0.64%

0.26%

1.88%

8.68%

Not Applicable

Literature

Arts

Science

Commerce

Management

Fine arts

law

Engineering

Medicine

Architecture

Journalism

ITI Trades

Other Professioinals

Diploma

Certi�cate

Others

No data

Sex-wise distribution of subjects for study of the age group of 16-25 yearsAge group of 16-25 years (Table No. 41a and 41i), in the case of majority of the subjects females are in an advantageous situation, while in a number of subjects like Engineering, Medicine and Journalism, males are in a better situation, though in all these, the difference in percentage points is very low. It is noted that a large section of this age group (87.06%) reportedly is out of this question’s purview and a sizeable section (7.78%) did not provide any data on this issue. Literature is the most preferred subject for this age group (1.48%).

Table No.41i: Sex-wise distribution of subjects for study of the age group of 16-25 years


Not Applicable 42.22% 44.84% 87.06%

Literature 0.77% 0.71% 1.48%

Arts 0.20% 0.16% 0.37%

Science 0.41% 0.28% 0.70%

Commerce 0.20% 0.15% 0.35%


Management 0.08% 0.08% 0.17%

Fine arts 0.04% 0.02% 0.06%

Law 0.03% 0.00% 0.03%

Engineering 0.01% 0.02% 0.04%

Medicine 0.02% 0.03% 0.04%

Architecture 0.02% 0.01% 0.03%

Journalism 0.01% 0.02% 0.02%

ITI Trades 0.04% 0.04% 0.08%

Other Professionals 0.04% 0.04% 0.07%

Diploma 0.01% 0.01% 0.02%

Certificate 0.03% 0.01% 0.04%

Others 0.85% 0.93% 1.78%

No data 3.78% 3.90% 7.68%

Grand Total 48.75% 51.25% 100.00%

Sex-wise distribution of the subjects for study of the age group of 26-35 yearsIn the age group of 26-35 years, more males have selected listed subjects for study, except in the case of Literature, Arts, Science and Medicine. Majority of the population reports that it is not applicable to them in this age group. Science is the most preferred subject for this age group. (Table No. 41b and 41ii)

Table No.41ii: Sex-wise distribution of subjects for study of the age group of 26-35 years


Not Applicable 24.65% 27.69% 52.34%

Literature 1.26% 0.86% 2.11%

Arts 2.53% 1.58% 4.11%

Science 7.15% 4.39% 11.55%

Commerce 3.10% 3.12% 6.21%

management 0.33% 0.50% 0.83%

Fine arts 0.08% 0.14% 0.21%

law 0.20% 0.15% 0.35%

Engineering 1.85% 2.84% 4.69%

Medicine 0.81% 0.25% 1.06%

Architecture 0.05% 0.09% 0.14%

Journalism 0.06% 0.07% 0.13%

ITI Trades 0.33% 1.50% 1.83%


Other Professionals 1.73% 1.35% 3.07%

Diploma 0.57% 0.92% 1.48%

Certificate 0.23% 0.19% 0.42%

Others 1.47% 1.48% 2.95%

No data 3.21% 3.30% 6.51%

Grand Total 49.60% 50.40% 100.00%

More males are found to have opted for professional subjects and courses than females.

Preferred Education InstitutionsThe survey looks into the distribution of educational institutions which the respondents opt for their studies. The options include State-aided institutions which are managed by private individuals or organizations but financially supported by Governments, State unaided institutions managed by private individuals or organizations but following State syllabus, purely State Government institutions, CBSC and ICSE. The results are presented in Table No. 42. The largest section of people studied in State Government institutions (10.82%) with slightly more males than females, State aided educational institutions (35.08%) with 18.16% males and 16.92% females. This is followed by those who chose State unaided institutions (16.62%) with more males than females, CBSC (20.58%) and ICSE (3.14%). (Chart No. 42)

Chart No. 42: Preferred Education Institutions

35.08%

10.62%

20.58%

3.14%

0.82%

19.95%

8.74%

State Aided

State Un-Aided

State Government

CBSE

ICSE

Not Applicable

No Data

Sex-wise distribution of the educational institutions preferred by the age group of 5-15 yearsIn the age group of 5-15 years, more boys are found to have studied in all the listed educational institutions. In this age group, the largest section studied in State aided institutions (36.28%), followed by those who went to State unaided institutions (18.74%). (Table No. 42a and 42i)


Table No.42i: Sex-wise distribution of the educational institutions preferred by the age group of 5-15 years


State Aided 17.91% 18.38% 36.28%

State Un-Aided 9.24% 9.50% 18.74%

State Government 8.36% 8.47% 16.83%

CBSE 5.04% 6.12% 11.16%

ICSE 0.93% 1.06% 1.99%


No Data 3.19% 3.20% 6.39%

Grand Total 48.75% 51.25% 100.00%

Sex-wise distribution of the educational institutions preferred by the age group of 16-25 yearsWhen the higher age group of 16-25 years was analyzed, it is noted that the listed institutions attracted more males than females, except in the case of State unaided institutions. In this age group, State Aided educational institutions were the most preferred ones with 43.34% of people opting for them, followed by State Government institutions (25.63%) and State unaided institutions with 8.40%. (Table No. 42b and 42ii)

Table No.42ii: Sex-wise distribution of the educational institutions preferred by the age group of 16-25 years


State Aided 21.08% 22.26% 43.34%

State Un-Aided 4.43% 3.97% 8.40%

State Government 12.49% 13.14% 25.63%

CBSE 1.13% 1.39% 2.52%

ICSE 0.26% 0.19% 0.46%

Not Applicable 4.62% 5.98% 10.60%

No Data 4.36% 4.04% 8.40%

Grand Total 48.62% 51.38% 100.00%

Sex-wise distribution of the educational institutions preferred by the age group of 26-35 yearsWhen the age group of 26-35 years was analyzed, the preference among males in this age group is found in favour of State aided and State unaided and ICSE stream, while females are found more with CBSE. Here also, the most preferred ones are State aided institutions with 39.87% to have studied in them, followed by State Government institutions (22.39%). (Table No. 42c and 42iii)


Table No.42iii: Sex-wise distribution of the educational institutions preferred by the age group of 26-35 years

Row Labels F M Grand TotalState Aided 19.60% 20.28% 39.87%State Un-Aided 2.67% 2.99% 5.66%State Government 10.35% 12.05% 22.39%CBSE 0.38% 0.19% 0.57%ICSE 0.13% 0.17% 0.30%Not Applicable 7.96% 10.04% 18.01%No Data 5.79% 6.36% 12.14%Grand Total 47.51% 52.49% 100.00%

State aided institutions are found as the most preferred ones in the age group analysis also.

Employment SectorsTable No.43 suggests the distribution of employees according to their sectors of employment. Diverse sectors are considered for analysis such as those employed in State Government, those employed in Public sector, those employed in private non-service sector, those employed in private service sector, those self-employed in firms, wage labourers, those in fishing and agriculture, those employed in other States, those employed in Gulf countries, those employed in Europe and those employed in other foreign countries.

The data show that majority of the population (55.14%) stand outside this consideration, may be because they are not employed any where. Some people did not provide information in this regard (8.97%). Excluding this large portion, among others, the self-employed persons are the largest (22.58%), distantly followed by those employed in Gulf countries (4.43%), those in private non-service sector (3.28%) and those employed directly by State Government (2.71%). Only 0.67% of people are employed in public sector.(Chart No. 43)

Chart No. 43: Employment Sectors

2.71%

0.67%

3.28%

0.48%

22.58%

0.77%

4.43%

0.25%

0.69%

55.14%

8.97%

State government Direct

Public Sector

Private Sector

Private Service Sector

Self-Employed

Employed in other states

Gulf Countries

Europe

Other Foreign Countries

Not Applicable

No Data


Sex-wise distribution of employment sectors in the age group of 18-28 yearsIn this age group of 18-28 years, except in the case of public sector and private service sector, males have more participation in employment in all other listed sectors. Excluding the ‘not applicable’ group (58.38%) and those who did not give data (8.01%), the largest category is the self-employed (19.17%) with a larger percentage of males (17.06%) than females (2.11%), followed by those employed in Gulf countries (6%) with a larger section of males (5.49%) than females (0.51%). (Table No. 43a and 43i)

Table No 43i: Sex-wise distribution of employment sectors in the age group of 18-28 years


State government Direct 0.55% 0.75% 1.29%

Public Sector 0.27% 0.23% 0.50%

Private Sector 2.66% 3.10% 5.76%

Private Service Sector 0.32% 0.31% 0.62%

Self-Employed 2.11% 17.06% 19.17%

Employed in other states 0.44% 0.59% 1.04%

Gulf Countries 0.51% 5.49% 6.00%

Europe 0.12% 0.19% 0.30%

Other Foreign Countries 0.31% 0.56% 0.87%

Not Applicable 37.54% 18.85% 56.38%

No Data 4.34% 3.67% 8.01%

Grand Total 49.19% 50.81% 100.00%

Sex-wise distribution of employment sectors in the age group of 29-35 yearsIn the age group of 29-35 years (Table No. 43b and 43ii), in the distribution of employment sectors, it is found that males are in an advantageous situation with their greater presence in all the sectors listed in the survey. Except in the case of the self-employed persons and those employed in Gulf countries, the difference in percentage points is nominal. The employment sectors in which opportunities are grabbed by the Archdiocesan population are the self employment sector (32.77%) and Gulf countries (9.59%). For a larger section of people this question is reportedly not applicable (37.33%).

Table No.43ii: Sex-wise distribution of employment sectors in the age group of 29-35 years



Public Sector 0.44% 0.46% 0.90%



Self-Employed 4.37% 28.40% 32.77%




Europe 0.22% 0.39% 0.61%


Not Applicable 32.66% 4.67% 37.33%

No Data 3.87% 2.93% 6.80%

Grand Total 47.18% 52.82% 100.00%

Sex-wise distribution of employment sectors in the age group of 36-60 yearsIn the age group of 36-60 years (Table No. 43c and 43iii), except in the case of public employment where gender parity is visible, in all other sectors, males dominate with more percentage share. As found in the case of age groups discussed above, here, too, the difference in percentage points is very small, in all sectors except self-employment and employment in Gulf countries.

Table No.43iii: Sex-wise distribution of employment sectors in the age group of 36-60 years



Public Sector 0.55% 0.55% 1.10%



Self-Employed 9.66% 30.85% 40.50%



Europe 0.09% 0.22% 0.31%


Not Applicable 28.77% 5.07% 33.84%

No Data 3.98% 3.09% 7.06%

Grand Total 47.90% 52.10% 100.00%

In the age group analysis, males have acquired a definite dominance over females. Except in the case of public sector and private service sector, males have domination in all age groups.

Career Sectors/ employment positionsTable No. 44 discusses the situation of respondents in their careers and employment positions. A long list of 32 positions/careers as seen in the said Table is considered for the purpose of measuring the space occupied by the respondents in these positions. In general, the jobless/unemployed are the major section with 36.01%, distantly followed by fishermen (15.10%) and house managers (9.98%). Some minor sections in this regard consist of wage labourers (3.68%), the self-employed (2.45%) and fish vendors (2.42%). Alarmingly, it is noted that higher careers like teachers, engineers, doctors, IT Professionals, managers, gazette officers, etc are occupied by very small sections of people in the Archdiocese. (Chart No. 44)


Chart No. 44: Career Sectors/ employment positions

0.29% 0.15% 0.63%

0.06% 1.30%

0.37% 0.45% 0.64% 0.41% 0.71%

0.15% 0.22% 0.10% 0.13% 0.12% 0.13% 0.03% 0.04% 0.04%

1.18% 0.39% 0.11%

0.90% 15.10%

2.42% 3.68%

2.45% 9.98%

0.35% 1.65%

8.74% 36.01%

11.08%

gazetted O�cerDoctor

EngineerAdvocate

Teachermanager

AccountantIT Professional

NurseClerkPeon

Class IVPriest

NunPoliceJawan

Media PersonArtist

Sports personTechnically Skilled

UnskilledArtisan

DriverFisherman

Fish VendingCoolie worker

Self- EmployedHouse managerEx- Servicemen

PensionerOthers

Jobless /UnemployedNo Data

Sex-wise distribution of Career positions of the age group 18-28 yearsIn the age group 18-28 years (Table No. 44a and 44i), fishermen (14.16%) and house managers (10.90%) and wage labourers (4.19%) are the major categories or jobs. It is found that females dominate in employments such as medical Doctors, Advocates, Teachers, Nurses, clerks, nuns, house managers, Ex-service men, while males are employed more in areas like engineers, managers, accountants, IT professionals, peons, Class IV


employees, priests, police, jawan, media, artist, sports person, technically skilled jobs, artisans, drivers, fishermen, fish venders, wage labourers and pensioners. Except in the case of fishermen, house managers and wage labourers, the difference in percentage points between men and women is very small.

Table No.44i: Sex-wise distribution of Career positions of the age group 18-28 years

Row Labels F M Grand TotalGazette Officer 0.06% 0.06% 0.12%Doctor 0.10% 0.06% 0.16%Engineer 0.37% 0.97% 1.34%Advocate 0.03% 0.02% 0.05%Teacher 0.88% 0.22% 1.11%Manager 0.06% 0.22% 0.28%Accountant 0.20% 0.36% 0.55%IT Professional 0.34% 0.88% 1.22%Nurse 1.10% 0.20% 1.30%Clerk 0.36% 0.25% 0.61%Peon 0.02% 0.03% 0.06%Class IV 0.04% 0.07% 0.11%Priest 0.01% 0.17% 0.18%Nun 0.31% 0.05% 0.36%Police 0.00% 0.06% 0.06%Jawan 0.01% 0.13% 0.14%Media Person 0.01% 0.04% 0.06%Artist 0.01% 0.03% 0.04%Sports person 0.02% 0.05% 0.07%Technically Skilled 0.19% 1.19% 1.38%Unskilled 0.10% 0.41% 0.50%Artisan 0.06% 0.11% 0.17%Driver 0.04% 1.02% 1.06%Fisherman 0.37% 13.79% 14.16%Fish Vending 0.21% 0.36% 0.58%Coolie worker 0.36% 3.83% 4.19%Self- Employed 0.76% 1.23% 1.99%House manager 10.59% 0.31% 10.90%Ex- Servicemen 0.04% 0.03% 0.07%Pensioner 0.17% 0.37% 0.54%Others 5.47% 5.09% 10.56%Jobless /Unemployed 22.21% 14.87% 37.07%No Data 4.68% 4.36% 9.04%Grand Total 49.19% 50.81% 100.00%


Sex-wise distribution of Career position of the age group 29-35 yearsIn the age group 29-35 years (Table No. 44b and 44ii), major sections are the fishermen (24.06%), house managers (17.75%) and the unemployed (14.80%. Work participation in other careers and positions and employments is deplorably low. Male participation is found more in a number of careers such as gazette officers, engineers, advocates, accountants, I T professionals, peons, priests, police, jawans, media persons, artists, sports persons, technically skilled jobs, unskilled jobs, artisans, drivers, fishers, wage labourers and pensioners. Females outnumber in certain jobs like doctors, teachers, nurses, clerks, nuns, fish vendors, house managers and ex-service women. There are more female unemployed or jobless persons than males. The difference in percentage points between men and women is very nominal, except in the case of fishermen, house managers and wage labourers.

Table No. 44ii: Sex-wise distribution of Career position of the age group 29-35 years

Row Labels F M Grand TotalGazette Officer 0.08% 0.16% 0.24%Doctor 0.16% 0.12% 0.28%Engineer 0.25% 1.01% 1.26%Advocate 0.04% 0.06% 0.10%Teacher 1.90% 0.64% 2.54%manager 0.12% 0.64% 0.77%Accountant 0.21% 0.67% 0.88%IT Professional 0.25% 1.57% 1.83%Nurse 0.40% 0.10% 0.50%Clerk 0.50% 0.44% 0.93%Peon 0.08% 0.09% 0.17%Class IV 0.06% 0.06% 0.11%Priest 0.00% 0.23% 0.24%Nun 0.24% 0.03% 0.27%Police 0.06% 0.14% 0.19%Jawan 0.01% 0.28% 0.29%Media Person 0.01% 0.06% 0.07%Artist 0.02% 0.03% 0.05%Sports person 0.01% 0.07% 0.07%Technically Skilled 0.22% 2.01% 2.23%Unskilled 0.06% 0.55% 0.60%Artisan 0.06% 0.10% 0.16%Driver 0.04% 1.72% 1.76%Fisherman 0.52% 23.53% 24.06%Fish Vending 1.11% 0.66% 1.77%Coolie worker 0.95% 5.16% 6.12%Self- Employed 1.34% 2.18% 3.53%House manager 17.37% 0.38% 17.75%Ex- Servicemen 0.07% 0.04% 0.12%Pensioner 0.23% 0.50% 0.72%


Others 4.96% 3.59% 8.55%Jobless /Unemployed 12.01% 2.80% 14.80%No Data 3.76% 3.27% 7.03%Grand Total 47.09% 52.91% 100.00%

Sex-wise distribution of Career position of the age group 36-60 yearsIn the age group of 36-60 years, fishermen (25.77%) (Table No.44c and 44iii), house managers (15.66%) and wage labourers (6.14%) are the first three categories of careers in terms of respondent participation. Other careers are nominally represented. Men are found outnumbering women in almost all careers except in the case of teachers, nurses, Class IV employees, nuns, house managers and the unemployed. There is equal number of men and women sports persons. It is again noted that except in the case of fishermen, house managers and wage labourers, the difference in percentage points between men and women is very small.

TableNo.44iii: Sex-wise distribution of Career position of the age group 36-60 years

Row Labels F M Grand TotalGazette Officer 0.21% 0.30% 0.51%Doctor 0.09% 0.14% 0.23%Engineer 0.08% 0.48% 0.56%Advocate 0.02% 0.09% 0.11%Teacher 1.51% 0.70% 2.21%manager 0.08% 0.53% 0.61%Accountant 0.16% 0.53% 0.69%IT Professional 0.05% 0.48% 0.52%Nurse 0.21% 0.04% 0.25%Clerk 0.49% 0.59% 1.08%Peon 0.13% 0.19% 0.32%Class IV 0.13% 0.11% 0.24%Priest 0.00% 0.09% 0.09%Nun 0.05% 0.02% 0.06%Police 0.02% 0.23% 0.24%Jawan 0.01% 0.16% 0.17%Media Person 0.01% 0.03% 0.03%Artist 0.02% 0.05% 0.07%Sports person 0.01% 0.01% 0.02%Technically Skilled 0.21% 1.71% 1.92%Unskilled 0.12% 0.52% 0.64%Artisan 0.04% 0.09% 0.13%Driver 0.04% 1.44% 1.48%Fisherman 1.31% 24.46% 25.77%Fish Vending 4.75% 0.88% 5.63%Coolie worker 1.28% 4.86% 6.14%Self- Employed 1.89% 2.72% 4.61%


House manager 15.29% 0.38% 15.66%Ex- Servicemen 0.17% 0.25% 0.42%Pensioner 0.67% 0.83% 1.50%Others 4.13% 2.90% 7.04%Jobless /Unemployed 10.78% 2.94% 13.72%No Data 3.90% 3.42% 7.32%Grand Total 47.85% 52.15% 100.00%

Fishermen, house managers and wage labourers are the largest sections in the community in all age groups. In the age group analysis, it is found that males dominate in all the three age groups in certain employments such as engineers, managers, accountants, IT Professionals, peons, priests, police, jawans, media persons, artists, technically skilled jobs, unskilled labour, artisans, drivers, fishers, wage labourers and pensioners. Females are found more in a few employments and jobs such as teachers, fish vendors and house managers. They are also more among the jobless. The nominal difference in percentage points is clearly visible.

DiseasesHealth is an important indicator of wellbeing and progress of individuals and communities. The survey examines the distribution of respondents according to their diseases. Table No.45 reports the spread and size of such distribution. In general, a very large section (70.38%) is reported free from all the listed diseases. Data show that rheumatic (4.38%), BP (3.85%), diabetes (3.55%), allergy (1.99%) and heart problems (1.88%) are the major diseases among people of the Archdiocese. All the other listed diseases are found among the people but in smaller percentages of people. (Chart No. 45)

Chart No. 45: Diseases

70.38

%

1.88%

3.52%

0.25%

3.85%

0.12%

0.31%

0.11%

1.07%

1.72%

0.28%

0.10%

0.71%

0.05%

1.00%

1.88%

0.30%

4.38%

1.99%

0.38%

0.24%

8.58%

Not

Appli

cable

Hear

tDi

abet

icCa

ncerBP

HIV /

STD

Jaun

dice

mala

riaDe

ngue

/CG

Asth

maTB

Lepr

osy

Skin

Eleph

antic

itis

Thyr

oidBo

neVe

roco

sRh

eum

atic

Aller

gyPh

sych

ic

Othe

rsM

enta

llyre

tarte

d

Sex-wise distribution of diseases in the age group of 0-6 yearsThe age group of 0-6 years consists of infants (Table No 45a 45i). A vast majority of people (84.76%) in this age group is found free from the diseases under consideration. Female children outnumber males only in the case of leprosy, thyroid, varicose vein, rheumatic and mentally retardation. In all other diseases, more males are affected at this tender age. In the case of diabetes, cancer, BP, bone problems and psychic disorders, male and female


children are equally found. Dengue /Chicken guinea (2.38%), Asthma (1.73%) and allergy (1.32%) are the major ailments found among the children.

Table No.45i: Sex-wise distribution of diseases in the age group of 0-6 years

Values F M Grand Total F M Grand Total

Not Applicable 9813 10132 19945 41.70% 43.06% 84.76%Heart 44 50 94 0.19% 0.21% 0.40%Diabetic 33 32 65 0.14% 0.14% 0.28%Cancer 5 5 10 0.02% 0.02% 0.04%BP 28 29 57 0.12% 0.12% 0.24%HIV /STD 6 10 16 0.03% 0.04% 0.07%Jaundice 3 6 9 0.01% 0.03% 0.04%malaria 2 5 7 0.01% 0.02% 0.03%Dengue /CG 270 290 560 1.15% 1.23% 2.38%Asthma 179 228 407 0.76% 0.97% 1.73%TB 15 12 27 0.06% 0.05% 0.11%Leprosy 4 4 8 0.02% 0.02% 0.03%Skin 41 51 92 0.17% 0.22% 0.39%Elephanticities 1 6 7 0.00% 0.03% 0.03%Thyroid 14 9 23 0.06% 0.04% 0.10%Bone 22 21 43 0.09% 0.09% 0.18%Verocos 4 1 5 0.02% 0.00% 0.02%Rheumatic 47 22 69 0.20% 0.09% 0.29%Allergy 149 162 311 0.63% 0.69% 1.32%Psychic 8 7 15 0.03% 0.03% 0.06%Mentally retarded 18 14 32 0.08% 0.06% 0.14%Others 825 903 1728 3.51% 3.84% 7.34%

Sex-wise distribution of diseases in the age group of 7-15 yearsThe age group of 7-15 years consists of small children and adolescents (Table No 45b and 45ii). In this age group, a vast majority do not have any of the listed diseases (84.74%). In this case, men are in an advantageous position than women. Considering in a gender perspective, more females are affected by smaller number of illnesses such as diabetes, HIV/STD, malaria, leprosy, thyroid and rheumatic. More males are affected by the rest of the diseases considered. In the case of cancer, varicose vein and psychic patients, men and women are equally affected.


Table No.45ii: Sex-wise distribution of diseases in the age group of 7-15 years

Values F MGrand Total F M Grand Total

Not Applicable 13278 14037 27315 41.19% 43.55% 84.74%Heart 86 73 159 0.27% 0.23% 0.49%Diabetic 26 28 54 0.08% 0.09% 0.17%Cancer 7 6 13 0.02% 0.02% 0.04%BP 20 40 60 0.06% 0.12% 0.19%HIV /STD 15 14 29 0.05% 0.04% 0.09%Jaundice 7 14 21 0.02% 0.04% 0.07%malaria 5 1 6 0.02% 0.00% 0.02%Dengue /CG 205 252 457 0.64% 0.78% 1.42%Asthma 180 192 372 0.56% 0.60% 1.15%TB 15 19 34 0.05% 0.06% 0.11%Leprosy 16 10 26 0.05% 0.03% 0.08%Skin 75 86 161 0.23% 0.27% 0.50%Elephanticities 0 2 2 0.00% 0.01% 0.01%Thyroid 90 25 115 0.28% 0.08% 0.36%Bone 45 53 98 0.14% 0.16% 0.30%Verocos 8 5 13 0.02% 0.02% 0.04%Rheumatic 50 39 89 0.16% 0.12% 0.28%Allergy 270 303 573 0.84% 0.94% 1.78%Psychic 6 7 13 0.02% 0.02% 0.04%Mentally retarded 40 65 105 0.12% 0.20% 0.33%Others 1230 1289 2519 3.82% 4.00% 7.81%

Sex-wise distribution of diseases in the age group of 16-35 yearsThe age group of 16-35 years consists of young men and women (Table No 45c and 45iii). In this age group also, a vast majority of people (80.99%) do not have any of the listed diseases. Allergy (1.90%), Rheumatic (1.19%), bone diseases (1.02%) and thyroid (0.95%) are the diseases found in a comparatively greater extent among the people of this age group. However, their share is very small. More women are affected by diseases like heart problems, BP, HIV/STD, asthma, elephanticities, thyroid, varicose vein, rheumatic and allergy. More males are affected by other diseases in the list, though their percentage also is very small.

Table No. 45iii: Sex-wise distribution of diseases in the age group of 16-35 years


Not Applicable 29146 31930 61076 38.65% 42.34% 80.99%

Heart 273 235 508 0.36% 0.31% 0.67%


Diabetic 167 181 348 0.22% 0.24% 0.46%

Cancer 23 24 47 0.03% 0.03% 0.06%

BP 300 211 511 0.40% 0.28% 0.68%

HIV /STD 50 30 80 0.07% 0.04% 0.11%

Jaundice 81 206 287 0.11% 0.27% 0.38%

Malaria 20 39 59 0.03% 0.05% 0.08%

Dengue /CG 325 351 676 0.43% 0.47% 0.90%

Asthma 355 205 560 0.47% 0.27% 0.74%

TB 39 60 99 0.05% 0.08% 0.13%

Leprosy 23 30 53 0.03% 0.04% 0.07%

Skin 193 233 426 0.26% 0.31% 0.56%

Elephanticities 12 4 16 0.02% 0.01% 0.02%

Thyroid 668 50 718 0.89% 0.07% 0.95%

Bone 361 406 767 0.48% 0.54% 1.02%

Varicose vein 74 41 115 0.10% 0.05% 0.15%

Rheumatic 594 307 901 0.79% 0.41% 1.19%

Allergy 833 600 1433 1.10% 0.80% 1.90%

Psychic 86 118 204 0.11% 0.16% 0.27%

Mentally retarded 80 149 229 0.11% 0.20% 0.30%

Others 3009 3288 6297 3.99% 4.36% 8.35%

Sex-wise distribution of diseases in the age group of 36-60 yearsAmong the members of the age group of 36-60 years (Table No 45d and 45iv), it is found that 53.40% is free from any of the diseases under consideration. More and more people are getting affected by one or the other diseases, when their age increases. In this age group, Rheumatic (7.74%), BP (6.64%) and diabetes (6.13%) are the major health problems. Females outnumber in the case of BP, HIV/STD, Dengue/CG, asthma, thyroid, bone diseases, varicose vein, rheumatic, allergy and psychic disorders, while males dominate in the case of heart problems, diabetes, cancer, jaundice, malaria, leprosy, skin diseases and elephanticities. In the case of mental retardation, both men and women are equal.

Table No. 45iv: Sex-wise distribution of diseases in the age group of 36-60 years


Not Applicable 16909 21432 38341 23.55% 29.85% 53.40%

Heart 982 1103 2085 1.37% 1.54% 2.90%

Diabetic 2176 2223 4399 3.03% 3.10% 6.13%


Cancer 130 170 300 0.18% 0.24% 0.42%

BP 2735 2034 4769 3.81% 2.83% 6.64%

HIV /STD 55 52 107 0.08% 0.07% 0.15%

Jaundice 71 271 342 0.10% 0.38% 0.48%

malaria 41 60 101 0.06% 0.08% 0.14%

Dengue /CG 263 247 510 0.37% 0.34% 0.71%

Asthma 1083 487 1570 1.51% 0.68% 2.19%

TB 118 193 311 0.16% 0.27% 0.43%

Leprosy 40 48 88 0.06% 0.07% 0.12%

Skin 293 382 675 0.41% 0.53% 0.94%


Thyroid 1001 139 1140 1.39% 0.19% 1.59%

Bone 1306 1088 2394 1.82% 1.52% 3.33%

Verocos 238 162 400 0.33% 0.23% 0.56%

Rheumatic 3444 2110 5554 4.80% 2.94% 7.74%

Allergy 981 725 1706 1.37% 1.01% 2.38%

Psychic 234 235 469 0.33% 0.33% 0.65%


Others 3101 3262 6363 4.32% 4.54% 8.86%

Sex-wise distribution of diseases in the age group above 60 yearsAmong the members of the age group above 60 years (Table No 45e and 45v), it is found that majority of the people (68.41%) are affected by one or the other of the diseases listed in the survey. Major health problems in this age group are Rheumatic (13.71%), BP (13.34%) and diabetes (12.43%). Heart problems (5.555), Asthma (3.86%) and bone problems (3.59%) are also found in several people. In this age group, more women are affected by most of the diseases such as diabetes, BP, HIV/STD, malaria, dengue/CG, Elephanticities, thyroid, bone problems, varicose vein, rheumatic, allergy, psychic and mental retardation. More men are affected by other diseases. The difference in percentage points between men and women is very little.

Table No.45v: Sex-wise distribution of diseases in the age group above 60 years


Not Applicable 3776 4501 8277 14.41% 17.18% 31.59%

Heart 648 806 1454 2.47% 3.08% 5.55%

Diabetic 1651 1607 3258 6.30% 6.13% 12.43%

Cancer 93 128 221 0.35% 0.49% 0.84%

BP 2034 1460 3494 7.76% 5.57% 13.34%

HIV /STD 19 14 33 0.07% 0.05% 0.13%


Jaundice 14 21 35 0.05% 0.08% 0.13%

malaria 38 30 68 0.15% 0.11% 0.26%

Dengue /CG 88 83 171 0.34% 0.32% 0.65%

Asthma 600 412 1012 2.29% 1.57% 3.86%

TB 76 98 174 0.29% 0.37% 0.66%

Leprosy 11 38 49 0.04% 0.15% 0.19%

Skin 100 141 241 0.38% 0.54% 0.92%


Thyroid 165 45 210 0.63% 0.17% 0.80%

Bone 557 384 941 2.13% 1.47% 3.59%

Verocos 70 69 139 0.27% 0.26% 0.53%

Rheumatic 1940 1653 3593 7.40% 6.31% 13.71%

Allergy 214 165 379 0.82% 0.63% 1.45%

Psychic 88 72 160 0.34% 0.27% 0.61%


Others 1127 1085 2212 4.30% 4.14% 8.44%

In the age-wise and sex-wise analysis, men are found in an advantageous position in the matter of diseases. In all age groups, more females are affected by diseases than men. However, in the case of jaundice, T B and skin diseases, men are affected more in all the age groups. In the case of thyroid and rheumatic, more females are affected in all the age groups. While cancer is found equally among men and women in the first three age groups below 35 years, it is found more among males in the age groups above 36 years. Similarly, HIV/STD is found more among females in all the age groups above 7 years, while it is found more among males in the age group of 0-6 years.

Bad habitsThe survey tried to catch the trend in bad habits of the respondents. Table No.46 contains the distribution pattern. In general, a large section of people (83.13%) are reportedly free from any of the listed bad habits of drinking alcohol, smoking, betel leaf chewing, drugs and consumption of pan masala. Of the remaining people, the largest section (10.66%) has the habit of alcohol consumption, followed by betel leaf chewers (6.37%), smokers (2.55%), pan masala users (1.45%) and drug abusers (0.10%). (Chart No. 46)

Chart No. 46: Bad habits

10.66%2.55%

6.37%

0.10%

1.45%

83.13%

DrinkingSmoking

Betel ChewingDrugs

Pan MasalaNot Applicable


Sex wise distribution of bad habits in the age group of 5-15 yearsIn the age group of 5-15 years (Table No 46a and 46i), even in this tender age, both boys and girls, though in a very minute measure, have all the bad habits as listed above. It is found that 99.32% of them are free from any bad habits. Boys outnumber in the case of alcohol consumption and use of pan masala, while more girls have the habit of drug use. Smoking and betel leaf chewing are found equally among boys and girls. The difference in percentage points between boys and girls are, however, very small.

Table No.46i: Sex wise distribution of bad habits in the age group of 5-15 years


Drinking 81 99 180 0.21% 0.26% 0.47%

Smoking 9 9 18 0.02% 0.02% 0.05%

Betel Chewing 19 18 37 0.05% 0.05% 0.10%

Drugs 6 1 7 0.02% 0.00% 0.02%

Pan Masala 8 14 22 0.02% 0.04% 0.06%

Not Applicable 18675 19623 38299 48.43% 50.89% 99.32%

Sex wise distribution of bad habits in the age group of 16-25 yearsA vast majority of the members of the age group of 16-25 years are reportedly free from any of the bad habits (93.71%). Drinking is found as the major bad habit among the rest of the respondents (3.37%). Boys outnumber in all the bad habits in this age group. (Table No 46b and 46ii)

Chart No. 46ii: Sex wise distribution of bad habits in the age group of 16-25 years


Drinking 144 1081 1225 0.40% 2.97% 3.37%

Smoking 4 127 131 0.01% 0.35% 0.36%

Betel Chewing 31 338 369 0.09% 0.93% 1.01%

Drugs 6 24 30 0.02% 0.07% 0.08%

Pan Masala 18 515 533 0.05% 1.42% 1.46%

Not Applicable 17553 16546 34099 48.24% 45.47% 93.71%

Sex-wise distribution of bad habits in the age group of 26-60 yearsMajority of the members of the age group of 26-60 years (68.12%) reports that they are free from any of the bad habits (Table No.46c and 46iii). Drinking alcohol (16.27%) and betel leaf chewing (9.50%) are the major bad habits in this age group. It is also found that males dominate in all the bad habits. The difference of percentage points between males and females is large in this case. For example, while 15.79% of drinkers are males, only 0.48% is females.


Table No.46iii: Sex-wise distribution of bad habits in the age group of 26-60 years


Drinking 563 18384 18947 0.48% 15.79% 16.27%

Smoking 116 4324 4440 0.10% 3.71% 3.81%

Betel Chewing 1406 9654 11060 1.21% 8.29% 9.50%

Drugs 11 146 157 0.01% 0.13% 0.13%

Pan Masala 90 2429 2519 0.08% 2.09% 2.16%

Not Applicable 47189 32127 79316 40.53% 27.59% 68.12%

Sex wise distribution of bad habits in the age group above 60 yearsIn the age group above 60 years (Table No 46d and 46iv), majority of the people (68.66%) do not have any bad habits. Drinking alcohol (13.87%) and betel leaf chewing (12.14%) remain as the major bad habits. In all listed bad habits, males again dominate.

Table No. 46iv: Sex wise distribution of bad habits in the age group above 60 years


Drinking 98 2524 2622 0.52% 13.36% 13.87%

Smoking 26 892 918 0.14% 4.72% 4.86%

Betel Chewing 606 1688 2294 3.21% 8.93% 12.14%

Drugs 1 16 17 0.01% 0.08% 0.09%

Pan Masala 11 60 71 0.06% 0.32% 0.38%

Not Applicable 7725 5251 12976 40.88% 27.79% 68.66%

In the age group and sex-wise analysis, it is found that males dominate in all the bad habits in all age groups. When it comes to senior citizens, almost one third of the people are affected by one or the other bad habits.

DisabilitiesThe survey included the subject of disabilities to find out the size and type among the respondents. Data regarding 11 disabilities as given in Table No.47 are collected in the survey. It is found that a very large section of people (91.86%) does not have any disability. Among others, major disability is partial vision (2.44%). Other disabilities found among small sections of people are reading difficulty (0.79%), loss of the hand (0.61%), lameness (0.49%) and blindness (0.41%). (Chart No. 47)


Chart No 47: Disabilities

0.41%

0.21%

0.14%

0.24%

0.49%

0.61%

0.17%

0.79%

0.16%

0.17%

2.44%

91.86%

BlindDeaf

DumbGrowth Impaired

LameLost the hand

Other DisabiitiesReading Di�culty

Pronounciation ProblemsStuttering

Partial VisionNot Applicable

Involvement in Church and other organizations Distribution of the respondents according to their membership/affiliation/ association with faith-based/ secular organizations and groups is tabled in Table No.48. It is found that majority of the people (65.45%) do not have any social and faith-based organizational participation. Among the others, the largest section is associated with political organizations (7.33%), followed by SHG (6.06%) and BCC (6.04%), fishermen forum (4.76%), pious associations (3.70%) and prayer groups (2.19%). (Char No. 48)

Chart No. 48: Involvement in Church and other organizations

6.04%

6.06%

0.77%4.7

6%

0.93%

0.16%

0.03%

0.47%

1.51%

0.30%2.1

9%3.70%

0.69%

0.32%

0.32%

0.39%

7.33%

1.27%

65.45

%

BCC

SHG

Vanit

ha Ve

diFis

herm

en Fo

rum

Fish v

endin

gwo

men

's fo

rum

DCM

SAAKC

SLKC

YMKLCA

Pray

er G

roup

Pious

Asso

ciatio

nsCa

tech

ism Te

ache

rSp

orts

Arts

Trad

e Uni

onPo

litics

Othe

rNA


Sex-wise involvement in faith-based and social organizations of the age group of 18-60 yearsAccording to Table No. 48a and 48i, the largest section (8.43%) is associated with SHGs, followed by those with BCCs (7.61%), political organizations (6.85%) and fishermen forum (6.48%). Females outnumber in certain organizations and groups such as BCCs, SHGs, fish vendors forum, DCMS, KLCA, prayer group, pious associations, catechism, teachers, while males dominate in some other organizations and groups like fishermen forum, AA groups, KCSL, KCYM, sports associations, arts associations, trade unions and political organizations. In the case of SHGs and fishermen forum, the difference in percentage points is rather large.

Table No.48i: Sex-wise involvement in faith-based and social organizations of the age group of 18-60 years

Values F M Grand Total F MGrand Total

BCC 7308 3582 10890 5.11% 2.50% 7.61%

SHG 10217 1845 12062 7.14% 1.29% 8.43%

Vanitha Vedi 1343 149 1492 0.94% 0.10% 1.04%

Fishermen Forum 1654 7621 9275 1.16% 5.33% 6.48%

Fish vending women’s forum 1468 285 1753 1.03% 0.20% 1.23%

DCMS 159 134 293 0.11% 0.09% 0.20%

AA 17 38 55 0.01% 0.03% 0.04%

KCSL 239 300 539 0.17% 0.21% 0.38%

KCYM 1004 1609 2613 0.70% 1.12% 1.83%

KLCA 234 211 445 0.16% 0.15% 0.31%

Prayer Group 2141 1106 3247 1.50% 0.77% 2.27%

Pious Associations 3703 1924 5627 2.59% 1.34% 3.93%

Catechism Teacher 988 357 1345 0.69% 0.25% 0.94%

Sports 63 350 413 0.04% 0.24% 0.29%

Arts 108 248 356 0.08% 0.17% 0.25%

Trade Union 158 555 713 0.11% 0.39% 0.50%

Politics 3968 5838 9806 2.77% 4.08% 6.85%

Other 872 1137 2009 0.61% 0.79% 1.40%

NA 35485 44651 80136 24.80% 31.21% 56.01%

Sex-wise Involvement in Faith-based and social organizations among the members of the age group above 60 yearsAmong the members of the age group above 60 years (Table No 48b and 48ii), majority of the people (60.78%) are not associated with any of the organizations and groups. Major sections of people are associated with BCCs (7.64%), pious associations (7.24%) and political organizations (7.09%). Other major organizations and groups with which people are associated are SHGs (4.33%), fishermen forum (4.26%) and prayer groups (3.63%). Females


dominate in organizations and groups such as SHGs, Vanitha vedis, Fish vending women’s forum, DCMS, prayer groups, pious associations and catechism teachers’ groups, while males outnumber in BCCs, fishermen forum, AA groups, KLCA, sports and arts associations, trade unions and politics.

Table No 48ii: Sex-wise Involvement in Faith-based and social organizations among the mem-bers of the age group above 60 years


BCC 647 743 1390 3.56% 4.09% 7.64%

SHG 647 141 788 3.56% 0.78% 4.33%

Vanitha Vedi 105 17 122 0.58% 0.09% 0.67%

Fishermen Forum 155 620 775 0.85% 3.41% 4.26%

Fish vending women’s forum 208 35 243 1.14% 0.19% 1.34%

DCMS 18 14 32 0.10% 0.08% 0.18%

AA 0 5 5 0.00% 0.03% 0.03%

KCSL 5 4 9 0.03% 0.02% 0.05%

KCYM 17 11 28 0.09% 0.06% 0.15%

KLCA 36 48 84 0.20% 0.26% 0.46%

Prayer Group 422 238 660 2.32% 1.31% 3.63%

Pious Associations 830 487 1317 4.56% 2.68% 7.24%

Catechism Teacher 39 33 72 0.21% 0.18% 0.40%

Sports 2 11 13 0.01% 0.06% 0.07%

Arts 5 16 21 0.03% 0.09% 0.12%

Trade Union 8 45 53 0.04% 0.25% 0.29%

Politics 571 719 1290 3.14% 3.95% 7.09%

Other 96 135 231 0.53% 0.74% 1.27%

NA 5293 5762 11055 29.10% 31.68% 60.78%

FAITH LIFE OF INDIVIDUALS Three indicators are included in the survey to measure the faith life of the individual respondents. Participation in Holy Mass, participation in Catechism class and participation in the Sacrament of Reconciliation are selected for the purpose.

Participation in Holy MassAccording to Table No.49, a large majority of the people participates in Holy Mass once in a week (70.33%), followed by those who participate in it 2-3 days a week (10.62%) and those who go for Mass daily (9.73%). 2.56% of people attend annual Holy Mass, while some persons (2.08%) never go for Mass. (Chart No.49)


Chart No.49: Participation in Holy Mass

9.73% 10.62%

70.33%

2.56% 2.08% 4.67%

Daily 2-3 Days aweek

Weekly Yearly Never No data

Across the Foranes, it is found that Thoothoor forane stands first in the case of those who participate in daily mass (3.38%), followed by Pulluvila (2.26%). In the case of those who attend Mass 2-3 days a week, Pulluvila forane is the topper (2.41%), followed by Thoothoor (2.28%) and Valiyathura (1.91%).

Sex-wise participation in Holy Mass in the age group between 5-18 yearsIn the age group between 5-18 years (Table No 49a and 49i), the majority (69.17%) of people attend Mass once in a week. A smaller section (13.03%) is daily participants of Holy Mass, while 12.22% go to Mass 2-3 days a week. Females dominate in the case of those who daily go to Mass and those who go 2-3 days a week, while males are more in the case of those who attend Mass weekly once or yearly once and those who never attend Mass.

Table No.49i: Sex-wise participation in Holy Mass in the age group between 5-18 years


Daily 6.94% 6.09% 13.03%

2-3 Days a week 6.48% 5.74% 12.22%

Weekly 32.79% 36.38% 69.17%

Yearly 0.38% 0.49% 0.88%

Never 0.31% 0.43% 0.74%

No data 1.98% 1.99% 3.97%

Grand Total 48.88% 51.12% 100.00%

Sex-wise participation in Holy Mass in the age group between 19-60 yearsIn the age group between 19-60 years (Table No. 49b and 49ii), the largest section (72.34%) consists of those who attend Mass once in a week, followed by those who participate daily (8.34%). Females outnumber males in the case of daily Mass goers and those who attend Mass 2-3 days a week, while males dominate in the case of those who participate weekly once, yearly once and those who never attend.


Table No.49ii: Sex-wise participation in Holy Mass in the age group between 19-60 years

Row Labels Female Male Grand Total

Daily 5.90% 2.47% 8.37%

2-3 Days a week 6.43% 3.82% 10.24%

Weekly 32.56% 39.78% 72.34%

Yearly 0.79% 2.36% 3.15%

Never 0.58% 1.46% 2.04%

No data 1.85% 2.01% 3.86%

12 0.00% 0.00% 0.00%

Grand Total 48.11% 51.89% 100.00%

Sex-wise participation in Holy Mass in the age group between >60 yearsIn the age group above 60 years (Table No. 49c and 49iii), majority of the people (58.45%) are weekly Mass goers, while the next larger section participates in Holy Mass daily (16.81%). In this age group, females dominate those who attend Holy Mass daily, those who go for Mass 2-3 days a week and those who never go for Mass, while more males than females participate in Mass weekly once and yearly once.

Table No.49iii: Sex-wise participation in Holy Mass in the age group between >60 years


Daily 9.76% 7.06% 16.81%

2-3 Days a week 5.82% 4.97% 10.79%

Weekly 26.97% 31.48% 58.45%

Yearly 1.73% 2.06% 3.79%

Never 2.96% 2.83% 5.79%

No data 2.18% 2.18% 4.36%

Grand Total 49.41% 50.59% 100.00%

Participation in catechism classesParticipation in catechism classes is a concern of the children and youth and so 75.48 % of the total respondents are excluded from further analysis as they might be above or below the age of catechism students. A sizeable section does not provide any data on this aspect (11.95%). Of the remaining, major section (5.85%) is regular in catechism classes, while 1.71% occasionally participates and some people never participate. (Table No.50) (Chart No. 50)


Chart No. 50: Participation in catechism classes

5.85%

1.71%5.01%

75.48%

11.95%

Regular Occassional Never Not Applicable No data

Sex-wise participation in Catechism classes among the members of the age group 5-15 yearsAccording to Table No. 50a and 50i, a large majority of the children attend catechism classes (74%). Some children go to catechism classes occasionally (5.42%), while some never go to catechism classes (5.30%). In this age group, some report that this question is not applicable to them (10.35%). In all categories in this age group, boys dominate girls in the case of participation in catechism classes.

Table No.50i: Sex-wise participation in Catechism classes among the members of the age group 5-15 years

Row Labels Females Males Grand Total

Regular 36.74% 37.26% 74.00%

Occasional 2.35% 3.07% 5.42%

Never 2.30% 3.00% 5.30%

Not Applicable 4.95% 5.40% 10.35%

No data 2.41% 2.52% 4.92%

Grand Total 48.75% 51.25% 100.00%

Sex-wise participation in Catechism classes among the members of the age group 16-25 years

It is reported that for the largest section of youth of 16-25 years (Table No 50b and 50ii), almost half the members (49.31%), the largest section, said that it was not applicable to them. Of the remaining people, the major section (26.08%) participates in catechism classes regularly. While a smaller section attend classes occasionally (7.50%), a sizeable section never attend classes.


Table No.50ii: Sex-wise participation in Catechism classes among the members of the age group 16-25 years


Regular 13.84% 12.24% 26.08%

Occasional 2.73% 4.77% 7.50%

Never 4.30% 6.48% 10.78%

Not Applicable 25.58% 23.73% 49.31%

No data 3.18% 3.15% 6.33%

Grand Total 49.63% 50.37% 100.00%

Participation in the Sacrament of ReconciliationSimilarly, Table No.51 deals with sacrament of Confession and people’s participation in it. Setting aside the children who had not taken first communion (25.48%) and some people who did not provide information (11.86%), it is found that the largest section (26.67%) makes Confessions only once in a year. While a sizeable section (24.08%) makes confessions occasionally, a smaller section makes monthly Confessions (5.16%). Several people never make sacramental confessions (6.76%).

Chart No.51: Participation in the Sacrament of Reconciliation

5.16%

24.08% 26.67%

6.76%

25.48%

11.86%

Monthly Occassional Yearly Never NotApplicable

No data

Sex-wise participation in Confession among the members of the age group between 10-18 yearsIn this age group of 10-18 years (Table No 51a), the largest section (35.58%) confesses only occasionally, followed by those who make it monthly (30.66%) and those who make it yearly once (15.70%). 2.01% never makes Confession. Females dominate those who make monthly confessions, while males outnumber in the case of those who make occasional and annual confessions. Males again outnumber in the case of those who never confess.


Chart No.51a: Sex-wise participation in Confession among the members of the age group be-tween 10-18 years

16.51%

17.53%

7.17%

0.77%

4.65%

2.27%

14.15%

18.05%

8.53%

1.23%

6.65%

2.48%

30.66%

35.58%

15.70%

2.01%

11.31%

4.75%

Monthly

Occassional

Yearly

Never

Not Applicable

No dataGrand TotalMF

Sex-wise participation in Confession among the members of the age group between 19-60 yearsIn the age group of 19-60 years (Table No 51b), the largest section (41.26%) makes occasional confessions, followed by those who confess yearly once (32.84%), and those who make monthly confessions (13.49%). 5.50% of people in this age group never makes sacramental confessions. Except in the case of those who never make confessions, females dominate in all other categories.


Chart No.51b: Sex-wise participation in Confession among the members of the age group be-tween 19-60 years

8.00%

20.99%

14.28%

1.65%

1.13%

2.07%

5.48%

20.27%

18.57%

3.85%

1.54%

2.18%

13.49%

41.26%

32.84%

5.50%

2.67%

4.25%

Monthly

Occassional

Yearly

Never

Not Applicable

No dataGrand TotalMF

Sex-wise participation in Confession among the members of the age group above 60 yearsIn this age group above 60 years (Table No 51c), even among the seniors, the largest section (37.21%) makes occasional confessions, followed by those who make confessions yearly once (28.71%) and those who make it monthly once (17.35%). Females dominate in the case of those who make occasional and monthly confessions, males outnumber in the case of those who make confessions once in a year and those never making it.


Chart No.51c: Sex-wise participation in Confession among the members of the age group above 60 years

9.97%

19.00%

12.96%

3.01%

1.94%

2.53%

7.38%

18.21%

15.75%

4.76%

2.13%

2.36%

17.35%

37.21%

28.71%

7.77%

4.06%

4.89%

Monthly

Occassional

Yearly

Never

Not Applicable

No data

Grand TotalMF

In this chapter, only the observations reflected from the available data are narrated in a very simple and clear manner for any lay person to understand. This will help the reader to assess the situation without any bias. Tables and charts are added appropriately. In the next chapter, findings and discussions together with some recommendations are presented.


CHAPTER 3

FINDINGS AND RECOMMENDATIONSIn the second chapter we have described the existing situation of the families and individuals in the Latin Archdiocese of Trivandrum based on the data made available through a household census survey conducted in 2011. As mentioned earlier in this report, the survey covered 58501 families1 and 217821 individuals living in 8 foranes of the Archdiocese. Those families or individuals who have shifted to Pentecostal and other non-Catholic denominations are excluded from this survey.

Population The Archdiocesan population of 2, 17,821 is 0.65% of the total Kerala population of 3, 34, 06,061 and 6.58% of the Trivandrum district population of 33, 07,284 (National Census 2011).

A summary of the demographical details of the Latin Archdiocese of Trivandrum

Foranes Fami-lies

% of totalFamilies

Individuals % of Total individuals

Sex Ratio

Family SizeMale Femal Total

1 Anchuthengu 5095 9.08 10202(59.56%)

9585(48.44%) 19787 9.08% 939.52 3.88

2 Puthukurichy 7736 12.94 14384(51.02%)

13807(48.97%) 28191 12.945% 959.88 3.64

3 Pettah 2485 4.07 4420(49.80%)

4456(50.20%) 8876 4.07% 1008.14 3.57

4 Palayam 3610 5.81 6348(50.12%)

6318(49.88%) 12666 5.81% 995.27 3.50

5 Valiyathura 9122 14.84 16483(50.98%)

15848(49.02%) 32331 14.84% 961.47 3.54

6 Kovalam 7342 12.94 14657(51.98%)

13536(48.02%) 28193 12.94% 923.51 3.84

7 Pulluvila 13107 22.49 25569(52.20%)

23417(47.80%) 48986 22.49% 915.83 3.74

8 Thoothoor 10004 17.81 20224(52.13%)

18567(47.87%) 38791 17.81% 918.06 3.87

Total 58501 100 112287(51.55%)

105534(48.45%) 217821 100 939.85 3.72

Pulluvila Forane is the biggest one in terms of its numbers (48986) and percentage share (22.49%), followed by Thoothoor with 38791 (17.81%) and Valiyathura with 32331(14.81%). 1 Family identified for the purpose of this survey is a unit consisting of husband and wife together with unmarried children. If one of the couple is no more and the other partner lives alone or lives with one of his/her children or relatives, that person is considered as a dependent on another family.


Sex Ratio is 939.85, which is lower than the Kerala ratio of 1084 females for 1000 males and Trivandrum District ratio of 1088/1000 and Indian sex ratio of 940/1000 (National Census 2011). This indicates the highly disadvantageous dimensions of gender in the Trivandrum Archdiocese Latin Catholic society.

The family size is 3.72, which is also substantially lower than the Kerala levels (5)2. When compared to the families in south Kerala, families of Christian communities in Kerala and families in the OBCs in Kerala, the family size of the Latin Archdiocese is the smallest.

HousingThough a majority of the families have their own house (68.21%), 12914 families are homeless (22.07%) in the Archdiocese. Though a large number of families have concrete houses, several families live in huts (2.03%), thatched (5.02%) and sheet-roofed houses (13.11%). Together they are 20.76% (11794). When they are added to the homeless families, it comes near to 42% (24708) which is a cause for concern. Majority of the families have smaller houses with 1-4 rooms (52.15%). In majority (55.24%) of the houses, single families live alone, though there are several houses in which two (18.42%), or more than two families (4.26%) live. While large section of households accommodates 1-4 members, there are households having 5-8 members (29.04%) and those having more than 8 members (4.10%)3.

The picture stated above shows that several hundred families live without a house or live with a house which they would like to replace with a more livable and durable one. Housing is a major area where attention is to be given to address the problems of these families. Studies show that 95% of the families in Kerala have own houses. There are not much variations in this regard between classes of BPL and APL or backward and forward communities. The real reasons for many of the families for not having their own home need to be further examined. Based on this enquiry, the families who need external support and the type of support they need can be ascertained. From this stage, programs may be planned at the short term basis and long term basis, with the active participation of the communities, local bodies, Government departments and national and international non-governmental donor organizations.

Parish communities may be encouraged to get involved in this case with direct financial support and facilitation of local and external sponsorship for mobilizing resources. Saving schemes also may be thought of to help the homeless to save for house construction. Matching grants or interest free loans may become a practical support to go ahead with their dream of a home.

If some families are found financially capable of building their homes, these families may be supported with proper guidance and motivation.

LandIn the Archdiocese, though majority of the families, that is, 61.15%, have their own land, 20.16% of families are landless (11794). Among them, the largest section of families (48.21%) has very small plots (1-5 cents). Families having bigger area of land are comparatively small (17.58%).

While most of families have their land registered in the name of the male adult members (32.62%), smaller section of families either have their land registered in the name of the females (17.10%) or jointly in the name of male and female partners (15.86%).

The proportion of ownership of land among the families of the Archdiocese is also very low in comparison with the Kerala situation of land ownership, where 82.8% of the people have their own land! In the case of size of land owned by the Archdiocesan people, the situation is miserable with major sections owning below 15 cents of land,

2 In earlier studies, the family size in south Kerala is 4.4, while among Christians, it is 4.5 and among OBCs, it is 4.8. (KSSP 2004)3 Single families living in single households are normally defined as nuclear families and as such their size is bigger than the other categories.


while even the average land owned by the poorest sections in Kerala is 38.2 cents.4 On an average, a Christian family in Kerala owns 126.4 cents of land, backward communities in general own on an average 62.6 cents of land and Tribals own 138.7 cents per family.

The issue of landlessness is at the root of the problem of homelessness. Since land asset is the foundation for any progress for the families concerned, the issue requires high attention from all concerned stakeholders. It is recommended that the same approach suggested in the case of homelessness may be adopted to address this problem, too.

In a world clamouring for gender equality and equity, it is fair and just that family land is registered jointly in the name of both the partners. As the survey shows that the present realities are not favourable to gender equality, policies and strategies may be placed for encouraging joint registration of land and other immovable assets to promote gender balance.

Energy consumptionA considerable majority (57.40%) use traditional stove using fire wood, may be, together with other sources. This has two major negative impacts on the health of women and girl children and on environment. The survey clearly shows that the people in the Archdiocese rarely resort to non-conventional and renewable sources of energy. This has to be read with the Kerala situation of 48% of families using firewood as fuel for cooking.5

Therefore, it is advisable to plan programs to enhance awareness on environment and harmless sources of energy. It may also be possible to design some programs to link families with Government schemes to promote alternative sources of energy.

Other economic conditionsThe survey tried to assess the economic conditions of the families by understanding their position with regard to ownership of home appliances, vehicles, fishing assets, other occupational assets and trade and commerce. The findings are revealing.

In the case of home appliances, fan (67.32%), mixey (60.10%) and fridge (41.08%) are the most popular home appliances among the families. It is found that one fifth of the families do not have any of the listed appliances (20.46%).

In the case of vehicles, a large majority of the families (71.04%) do not have any of the listed types of vehicles. Among the rest, two-wheeler owners are the largest section (17.65%), againt the Kerala proportion of 22% (2004). In the case of fishing assets, a vast majority of families (88.73%) do not possess any one of the listed fishing equipments.

In the case of other occupational equipments, a larger section of families (89.28%) does not possess any other occupational equipment. Sewing machines (7%), auto-rikshaws (1.65%) and cameras (0.65%) are owned by a small section of families.

A very vast majority of families (91.29%) does not have any trade and commercial activities.

The above findings are clear indicators of very low level of financial status and asset base of the families in the Archdiocese.

In this context, it is important to plan policies, strategies and programs for enhancing the asset base and source of livelihood, in addition to the promotion of land and house ownership. Since these items enhance the quality of living to a great extent, and these do not require very high level of financial base, it may be easier to promote some saving schemes, income generating units and promotion of thrift among the families. Family budgeting is recommended here as one of the most effective and realistic solutions to promote savings and create financial discipline.

4 See KSSP 2004, p 535 Ibid, p 43


AgricultureVast majority of families (88.18%) does not have any agricultural activities or cultivation of crops. This includes families who do not even grow a single vegetable in their premises.

Though in a fishing community, intense agricultural activities are not part of their culture and livelihood sources, it is important in present context that each family contributes towards the production of food for their use, at least in a small volume. The quality of available food in the market is grown using pesticides and other harmful chemicals, the health of the family can be protected to a certain extent by growing some of the food materials like vegetables, coconuts, eggs, meat, milk, etc. Some medicinal plants can also be added to this list. Though it is true that the families in the survey do not posses large plots of land, even a small household premise is sufficient to grow vegetables or rear some animals for milk or meat. Agriculture is important to cultivate a culture of tolerance, patience, planning, discipline and systematic life and work.

Therefore, it is strongly recommended that the families and individuals need to be oriented and encouraged towards agriculture, starting from their household premises. The Government has several schemes for the promotion of agriculture.

It is also advisable to encourage some of the capable and interested families to try commercial agriculture as a major source of livelihood.

Spending PatternFamilies in the Archdiocese spend moderately for food, less than moderately for education and more than moderately for medical care. The shape of data points to a lack of budgeting habit according to pre-designed plan and set values and priorities among the people with regard to spending their hard earned money. Many families do not provide accurate information regarding how they spend and for what they spend. Spending patterns and prioritization are also related to the financial status of the families.

Lack of family budgeting may lead to this situation and so it is recommended that massive and intensive awareness and training programs may be planned and implemented in the communities to streamline the spending pattern of the families. This is expected to encourage saving habit also, which is closely related to spending habits. Since budgeting is primarily prioritizing, the recommended program will lead to the improvement of many other aspects of life like health and education.

DebtsMajority of the families (69.01%) has debts of some volume. Among those who have debts, the largest section of the families (29.47%) have lowest category of debts (below Rs.50000/-), followed by those (20.86%) having higher amounts of debts (6-10 lakhs).

Debts are blocks for regular progress. The fact that majority has some kind of debts is a matter of concern. Debts also indicate financial weakness of families and communities. It is suggested that this problem needs further probing as to the purpose of debts, the manner in which money borrowed is spent, categories of lenders, interest rates and other conditions of loans, etc.

Since this problem is related to financial discipline, it is suggested to exactly identify and give training on how to address their debts. Recommendations for creating financial discipline are applicable here also.

Ration CardsA vast majority (85.40%) of the families have ration cards. This is a better situation. However, 14.60% families who do not have a ration card which is one of the most important entitlements of a family of citizens. They need to be encouraged to secure their ration cards. Social workers may be directed to help this category of families in the parishes.


APL/BPL RegistrationA simple majority of families are registered under the APL category (55.09%), while only 22.77% are in the BPL category.

This statistics need to be checked through other sources to ascertain if all the APL and BPL families are categorized by set criteria or by some malpractices. This is necessary in the context of the survey findings that other economic indicators show that majority of the families in the Archdiocese is very poor.

Medical InsuranceThe survey shows that large majority of families (64.18%) does not have any of the health insurance policies. Health insurance is a major social security measure in the present context of increasing morbidity among the people.

Massive awareness campaign may be initiated to promote reliable medical insurance schemes among the people. It is even possible to start Archdiocesan Insurance scheme under the Social Action Ministry of the Archdiocese. Alternatively, the existing program for the medical insurance may be strengthened to cover the families who do not have it.

Sanitary LatrinesIn the Archdiocese, large majority of the families (80.74%) has attached toilets, against the Kerala State average of 91.95% (2004). However, a sizeable section depends on public toilets (10.55%-6172), while a substantial section (5.89%-3446) goes to open air for defecation.

The data gives a pointer that if effective programs are designed and implemented, it may be possible to declare the Archdiocese free of open air defecation by addressing the problem of 5.89% families. Local mobilization of resources at the community level, linkages with Panchayat and Government schemes and some sponsorship may work well in this regard.

Source of Drinking WaterWater connection at home (28.15%), bore well (20.29%), own well (20.25%), water from nearby houses (11.38%) and public well (6.76%) are the major sources of drinking water for the families in the Archdiocese. It is found that 4.57% of families purchase water for drinking (2674) at commercial rates.

While it is important to address the quality of drinking water from the above sources, the major issues under this subject is the plight of families purchasing drinking water daily from commercial suppliers at the price fixed by them without any official control. Data shows that, of the 4.57% of the families purchasing drinking water, 78.53% of them are seen in Kovalam Forane and in particular in a particular parish in the forane, Vizhinjam.

Supply of pure drinking water to all the citizens is the major responsibility of the local bodies and Governments. They may be pressurized to work out a practical and effective plan to provide drinking water to the people. The Archdiocesan influence and people’s active participation in the advocacy programs may bring in success in this regard. This may rightly become politically sensitive and the solutions may come from that strategy.

At the same time, the people have a primary responsibility to ensure that they do not waste and pollute available water sources. Regular awareness programs through all possible routes are required to enhance awareness and responsibility among the people in this regard.

Drainage and Waste disposalIt is worrying to note that a large section of people (40.21%) does not have any place to drain their waste water. It implies that they just let go their waste water in the open space. This has to be read with the revelation that the largest section (39.03%) dumps their solid waste into the open air and another large section throws away their waste into the water sources (32.41%-18959), mostly sea and streams or unused wells and ponds. When their immediate environment is polluted, the nearby water sources are polluted.


This issue needs to be taken very seriously for all obvious reasons. The most important reason behind this situation is the lack of responsibility and civic sense among the people to keep water sources clean and pure. Governments and local bodies are criminally negligent in this regard.

Enhancing awareness, training and fixing responsibility with the people, may be linked to advocacy programs to invite the attention of the Government and local bodies.

EducationUnder this subject, the survey placed three indicators for review, such as study facilities available at home, parents’ monitoring and community support to students. Almost half the number of families has students studying in schools or colleges or in other institutions. Largest section of families (34.21%) has tables and chairs for the children to study at home. Substantial number of families has study time arranged for children (25.82%) and study materials made available (23.06%). This implies that a sizeable section does not care for their children’s studies.

Though very large numbers of families (44.50%) monitor the study of their children, there is a considerable number of families who attend to this aspect occasionally (7.77%) or only during exam time (1.31%) and who are unable to monitor.

Regarding community support to the children for their study, only very small section of families receives some kind of support. Excluding 50.80% of families where no one is applicable to this support, a large section (33.10%) does not receive any support from the community.

While education is the most important aspect of sustainable development of the families and communities, it does not receive deserving attention from the stakeholders.

It is therefore recommended that unprecedented attention is required to address the problems in education sector among the community members. Many other points related to education are included in this survey, which will be dealt with in the coming pages. It is very important because education is closely and directly related to all other aspects of life and work like employment, income, land ownership, house ownership, and ownership of other assets, social status, gender balance, and even faith life. Integrated long term and short term programs are required to address the issues.

Faith LifeThree important aspects are reviewed in the survey such as P O C Bible at home, family prayers and participation in BCC meetings. A very large section of families (91.61%) has P O C Bible at home and only very small section does not have it. A vast majority of families (81.92%) always make family prayers at home. A large majority of families participates in BCC meetings (71.74%)

In this pleasant context, it is possible to make a goal for making 100% families with complete P O C Bible or Catholic bible, family prayer at home and participation in BCC meetings.

Death within three yearsIn a vast majority of families (88.84%) in the Archdiocese, no death occurred during the last three years. There are many reasons for death in the remaining families such as death due to deceases (3.54%-2071), old age (3.34%), normal death (0.84%), accidents (0.75%-438), infant death (0.54%), suicide (0.34%-198) and murder (0.05%-28).

Though normal death and death due to old age can not be prevented by any means, it is possible to eliminate deaths due to accidents, infant death, suicide and murder.


SECTION TWO : Individuals

PopulationThe survey included 217821 persons in 58501 families in 8 Foranes in the Archdiocese of Trivandrum. There are more males (51.55%-112287) than females (48.45%-105534) in the Archdiocese. Sex ratio in the Archdiocese is 939.85. The family size is 3.72.

The largest section of people in the Archdiocese belongs to the age group of 22-40 years with 73403 persons (33.70%), followed by the age group of 41-60 years with 48490 (22.26%). Children under the age group of 0-5 years are 20895 (9.59%). Senior citizens in the age group above 60 years are only 8.19% (17842). This is an advantageous position. This means that the communities are young and productive. The category of senior citizens is comparatively small (8.10%).

Therefore, it is important to direct productive sections to be involved in productive areas of life and work. Their education, employment, health and related issues are very important.

Dependency RatioThe productive and ‘independent’ age group (22-60 years) takes care of the dependent age group (0-21 and 60 and above). That is, 96130 persons (44.13%) depend on 121893 persons (55.97%). Thus, the dependency ratio is 0.78. This ratio, when compare to the dependency ratio of Kerala (0.42), India (0.62), Bangladesh (0.72%) is critically vulnerable.

Blood GroupIn general, majority of the population in the Archdiocese does not know their blood group (51.06%). In the case of people in the age group of 18-45 years, almost half the population (48.27%) does not know their blood group.

Blood donation is a laudable activity and the communities shall be encouraged to donate blood to the common pool and make available to those who need it in emergencies. Large numbers of people especially among those in the age group of 18-45 years are not aware of their blood group.

Therefore, awareness camps together with blood donation camps may be conducted in collaboration with department of health services and other stakeholders.

Marital StatusIn general, a large section (48.62%) is found as married, while a smaller section (38.16%) is unmarried. There are 3.76% of widows. At the same time, marital status of the people above 40 years shows that only 2.43% is unmarried while a large section (79.47%) is married.

Life StatusIt is revealed that major categories are workers (26.06%), students (22.16%) and the unemployed (20.82%) in the Archdiocese, while there are only 4.68% employed persons.

This is an indication of the low life profiles of the people. Therefore, there is a need to enhance the overall status of the individuals and communities. The issue again is related to education and skills as well as financial status. Plans also shall be related to the enhancement of education and skill development.

Educational QualificationsAt the Archdiocesan level, the largest section of people have education up to the level of High School (20.74%), followed by those who completed Upper Primary level (UP) (13.75%) and those with Lower Primary level (LP)


(11.93%). There are only a few persons who have reached higher levels. The literacy rate is 90.61%, which is below the Kerala state average (93.91%).

Since this is definitely a cause for concern to the individuals and communities, very urgent and intensive planning may be done to enhance the education levels. Only educated people will get more gainful employment and income, which alone will enhance their asset base including land and house and social status. It is noted that at the root of all negative situations in the communities, this low level of education is found. Lack of proper education is the crucial problem and programs to address this problem shall be planned and implemented at a priority base.

Further, the above analysis shows that males are more in lower levels than females in two different age groups. With regard to higher and technical education, females are more in the age group of 16-26 years, while males are in a more advantageous situation than females in the age group of 26-35 years.

Medium of EducationIn general, majority chose Malayalam medium for their education (56.09%), while only 15.73% of people opted for English, followed by those who took Tamil (12.68%). English is the most preferred medium in the age group of 5-15 years, while Malayalam is the medium of instruction for two higher age groups.

Subjects Opted for studies after ‘Plus Two’In the case of those who have gone above HSS, most of the persons preferred Science (3.97%), Arts (2.77%), Commerce (2.56%), Literature (1.50%) and Engineering (1.40%). However, it is noted that a large majority of people (72.94%) do not find the question applicable to them, may be because, they have not gone beyond ‘Plus Two’ level of education. A sizeable section does not provide any data on this (8.68%).

Though the subjects selected have scope for employment and higher studies, their size is very small. Even smaller sections are in professional courses and technical education. More males are found to have opted for professional subjects and courses than females.

This subject is also related to the general educational level of the people. Education policy of the Archdiocese shall integrate this aspect of selecting subjects for study.

Preferred Educational Institutions State aided educational institutions (36.28%), State unaided institutions (18.74%) and State Government institutions (16.83%) are the most preferred educational institutions. In all these categories, males are dominating. In the age group analysis also, State aided institutions are preferred by all the three age groups.

Therefore, it is important to think about the quality of learning and teaching in aided institutions, including those managed by the Archdiocese.

Programs and policies shall be made to enhance the academic excellence and character formation. Teachers training and refresher courses shall focus on these aspects. Since it is becoming clear that education is the only one subject which is closely related to all the important dimensions of the socio-economic development of the communities, no stone shall be left unturned in the process of enhancing the qualitative and quantitative aspects education.

Local communities need to be responsibly linked to the management of Schools in their localities.

Employment SectorsData show that majority of the people is unemployed (55.14%). Among others, the major section is the self-employed in various sectors. It seems that the self-employed may include fishermen, fish vending women and some others in the unorganized sectors. Very small section is employed in State government organizations (2.71%). The presence of the community in public sector organizations is nominal (0.67%).


In the sex-wise analysis also, the largest sections are the self-employed people, distantly followed by those employed in Gulf countries in all age groups. In the age group analysis, males have acquired a definite dominance over females. Except in the case of public sector and private service sector, males have domination in all age groups.

The picture is far from desirable. In powerful and influential positions and employment sectors, Archdiocesan members are not at all a recognizable section.

Since this situation also is closely related to educational levels and standards, the education policy shall consider seriously the means and ways to promote education in general and higher and technical education in particular. As mentioned above, qualitative and quantitative aspects are very important.

Career Sectors/ employment positionsWhen 32 jobs and careers are considered, the Archdiocesan people are found more in three low level jobs and employments such as fishermen (15.10%) and house managers (9.98%). Largest section is unemployed (36.01%). Wage labourers (3.68%), the self-employed (2.45%) and fish vendors (2.42%) are found in large numbers.

Fishermen, house managers and wage labourers are the largest sections in the community in all age groups. In the age group analysis, it is found that males dominate in all the three age groups in certain employments such as engineers, managers, accountants, IT Professionals, peons, priests, police, jawans, media persons, artists, technically skilled jobs, unskilled labour, artisans, drivers, fishers, wage labourers and pensioners. Females are found more in a few employments and jobs such as teachers, fish vendors and house managers. They are also more among the jobless. The nominal difference in percentage points is clearly visible.

This situation should be revealing to all stakeholders. People under consideration are nowhere near the higher jobs and positions. The reasons behind the pertinent backwardness are gradually coming up in the survey results.

Since this aspect is important and is closely related to educational levels and standards, the focus again remains on the need to enhance education and skill development.

DiseasesThough large majority of the population is free from the diseases listed in the survey, life style diseases like rheumatic (4.38%), BP (3.85%), diabetes (3.55%), allergy (1.99%) and heart problems (1.88%) are found among some people of the Archdiocese.

It is specially noted that 0.12%, that is, 262 persons are affected by HIV/STD in the Archdiocese. The fact that this figure is obtained in an open survey, it is reasonable to assume that the actual number of people affected by these diseases would be larger.

In the age-wise and sex-wise analysis, men are found in an advantageous position in the matter of diseases. In all age groups, more females are affected by diseases than men. However, in the case of jaundice, T B and skin diseases, men are affected more in all the age groups. In the case of thyroid and rheumatic, more females are affected in all the age groups. While cancer is found equally among men and women in the first three age groups below 35 years, it is found more among males in the age groups above 36 years. Similarly, HIV/STD is found more among females in all the age groups above 7 years, while it is found more among males in the age group of 0-6 years.

In the context of the findings, health services shall focus more on life style diseases and HIV/STD. It is also noted that even in challenging physical conditions, majority of the people is free from any of the diseases. Further examination of this fact may be useful in developing a health policy for the Archdiocese.

Bad habitsIn general, large section of people is (83.13%) reportedly free from any of the listed bad habits such as drinking alcohol, smoking, betel leaf chewing, drugs and consumption of pan masala. Among those who have bad habits,


the ranking goes starting from alcoholics (10.66%), betel leaf chewers (6.37%), smokers (2.55%), pan masala users (1.45%) and drug abusers (0.10%).

In the age group and sex-wise analysis, it is found that males dominate in all the bad habits in all age groups.

When it comes to senior citizens, almost one third of the people are affected by one or the other bad habits.

According to the data available, the situation is far from worry. If the habits are reported as real habits, (with addiction as the major ingredient), the available data may be reliable.

However, caution is invited to the fact that the listed bad habits are invading younger generations and females.

Health policy shall integrate these aspects and propose effective counseling and de-addiction programs made available at low cost to those who are in need.

DisabilitiesIt is found that a very large section of people (91.86%) does not have any disability. Among others, major disability is partial vision (2.44%).

Community-based rehabilitation programs may be strengthened in favour of the disabled persons. A separate list of such people may be culled out from this survey and special projects may be planned and implemented with the local support.

Involvement in Church and other organizations Majority of the people (65.45%) do not have any social and faith-based organizational participation. Among the others, the largest section is associated with political organizations (7.33%), followed by SHGs (6.06%) and BCCs (6.04%), fishermen forum (4.76%), pious associations (3.70%) and prayer groups (2.19%).

Since membership, association or affiliation of a person with any of the social or faith-based organizations is considered as a sign of civic sense, social contacts and proactive personality, the small percentage of persons with such associations is a case for concern.

Membership in local social and Church organizations shall be promoted through the parishes, since they are the nurseries for people to develop their capabilities. This promotion is more fruitful at the younger ages. However, their mentors need to be well oriented and strong positive personalities. Leadership and communication skills as well as other important soft skills can be promoted through these organizations from a young age.

FAITH LIFE OF INDIVIDUALS

Participation in Holy MassLarge majority of the people participates in Holy Mass once in a week (70.33%), followed by those who participate in it 2-3 days a week (10.62%) and those who go for Mass daily (9.73%). While more males are found faithful in attending weekly Holy Mass, more females are participating in daily Mass.

Participation in catechism classesExcluding a large section (75.48 %) of the total respondents who may be above or below the age of catechism students and a sizeable section that does not provide any data on this aspect, only a small portion of the remaining persons (5.85%) is regular in catechism classes. However, in the age group analysis, it is found that large majority of the young people are regular in catechism classes during the earlier years (74.00%-5-15 years) than in latter years (26.08%)-16-25 years.

The data thus show that there are very large numbers standing outside the purview and benefits of catechism classes. Motivational programs and parental orientation may be strengthened to cover all children into catechism program.


Participation in the Sacrament of ReconciliationMost of the people who make confessions make them once in a year (26.67%). Some others make it occasionally (24.08%) and some never go for sacramental confessions (6.76%).

This does not seem to be a desirable situation. Pastoral policies and programs may be fine-tuned towards addressing problems like this.

Concluding remarksAt the end of the analysis of the entire data about 58501 families and 217821 individuals, most of the findings are eye-openers, while some are confirmations of the existing understanding of the situation. It is found at the outset that one fifth of the families are both homeless and landless, while majority of the families live in very small plots of land and in small houses. The family size is very small, that is, lower than the Kerala State average. Sex ratio is also explicitly low in comparison with Kerala State. The level of environmental awareness is not all desirable. Use of renewable and non-conventional energy sources is nominal.

The survey findings clearly show that the educational and employment conditions of the families and people are far from desirable. Parish communities covered in the survey are economically very poor. Though, in the health sector, people have seemingly a better status, it is important to note the increase in life style diseases and HIV/STD. Water availability and management is poor among the communities. Waste disposal and drainage systems lack proper direction. Sanitary latrines are not available to all households. Several families still go for open defecation.

Caution is demanded by the statistics with regard to bad habits among the young people and females. Civic sense and participation in secular and faith-based organizations is found very low. People in general are not interested in church related publications. Pastorally, families are found better in the possession of Bible, participation in Holy Mass and in BCCs, while individual members lag behind in participation in Holy Mass, catechism classes and sacramental confessions.

The situation of individual members of the Archdiocese is not always similar to the family situation. Large section of people belongs to the productive age group. Majority of the individuals do not know their blood group and their voluntary donation scope is limited. There are several hundred widows and people living together without proper marriage. Major sections of people are in very low levels of work and life. While seniors have educated in Malayalam medium, most of the younger people have been studying in English medium. Most of the people have chosen Science, Arts, Commerce and Literature as subjects for their study after ‘Plus Two’ levels. There are very small proportions of people in professional studies including IT field, medicine, engineering, management, etc. Most of the people have depended on aided educational institutions. Most popular employment sectors are that of fishermen, house managers and wage labourers. Most of the people do not have any diseases in general. However, life style diseases are on the increase, even among the younger generation. Most of the people are free from bad habits, while drinking, betel leaf chewing and smoking are the major bad habits among the older generations. The proportion of disabled people is small and the number of disabilities among them is also limited and seems of low seriousness.

People in the Archdiocese are not actively associating with social and faith-based organizations and their share of social capital is low.

Pastoral life of the individuals does not reflect a good picture. Most of the people attend weekly Mass. Not many children and young people are regularly attending catechism classes. The case of sacramental confessions needs to be improved much.

Now, for the first time in the history of the local Church, comprehensive information about its families and people is available with all minute facts and figures. This is more than enough to develop policies, plan programs and projects at all levels starting from the parish level to the Archdiocesan level. While doing this exercise, it is advisable to make it participatory and community based. It is important and good to involve experts to guide the methods of the exercise in view of duplication of work, overlapping results and reducing costs.

This is merely a survey report and not a research study. However, this report and the data available give ample scope for initiating innumerable number of research studies and discussions. Policies of the Archdiocese may be evolved through careful study of each and every aspect surveyed now.


Annexure 1Tables

98 SURVEY REPORT AND ANALYSIS


1 OWNERSHIP OF HOUSESOwn Rent Homeless No Data Total Total Value

%No Row Labels Value % Value % Value % Value %1 Anjuthengu 3533 69.34% 158 3.10% 1142 22.41% 262 5.14% 5095 100.00%2 Puthukurichi 5326 68.85% 350 4.52% 1554 20.09% 506 6.54% 7736 100.00%3 Pettah 1715 69.01% 299 12.03% 289 11.63% 182 7.32% 2485 100.00%4 Palayam 2505 69.39% 534 14.79% 387 10.72% 184 5.10% 3610 100.00%5 Valiyathura 6160 67.53% 516 5.66% 1983 21.74% 462 5.06% 9122 100.00%6 Kovalam 4545 61.90% 671 9.14% 1942 26.45% 184 2.51% 7342 100.00%7 Pulluvila 9096 69.40% 370 2.82% 3161 24.12% 480 3.66% 13107 100.00%8 Thoothur 7024 70.21% 400 4.00% 2456 24.55% 124 1.24% 10004 100.00%

Grand Total 39904 68.21% 3298 5.64% 12914 22.07% 2384 4.08% 58501 100.00%68.21% 5.64% 22.07% 4.08% 100.00%

2 TYPE OR QUALITY OF HOUSESHut Thatch Sheet Tile Concrete

No Row Labels Value % Value % Value % Value % Value %

1 Anjuthengu 203 3.98% 509 9.99% 499 9.79% 847 16.62% 1665 32.68%2 Puthukurichi 177 2.29% 565 7.30% 735 9.50% 845 10.92% 3330 43.05%3 Pettah 5 0.20% 32 1.29% 185 7.44% 310 12.47% 1158 46.60%4 Palayam 24 0.66% 48 1.33% 325 9.00% 475 13.16% 1681 46.57%5 Valiyathura 202 2.21% 416 4.56% 934 10.24% 1047 11.48% 3855 42.26%6 Kovalam 112 1.53% 275 3.75% 1196 16.29% 1164 15.85% 2408 32.80%7 Pulluvila 312 2.38% 946 7.22% 1774 13.53% 1661 12.67% 4723 36.03%8 Thoothur 155 1.55% 145 1.45% 2020 20.19% 1307 13.06% 3786 37.84%

Grand Total 1190 2.03% 2936 5.02% 7668 13.11% 7656 13.09% 22606 38.64%2.03% 5.02% 13.11% 13.09% 38.64%

2 TYPE OR QUALITY OF HOUSES (Continuied)Flat Multistorey NA No Data

Total Total Value %No Row Labels Value % Value % Value % Value %


Grand Total 394 0.67% 2338 4.00% 12984 22.19% 729 1.25% 58501 100.00%0.67% 4.00% 22.19% 1.25% 100.00%

3 NUMBER OF ROOMS IN THE HOUSES1-4 rooms >4 rooms not applicable no data Total

No Row Labels Value % Value % Value % Value %


Grand Total 30506 52.15% 11463 19.59% 13114 22.42% 3415 5.84% 58501 100.00%52.15% 19.59% 22.42% 5.84% 100.00%


4 NUMBER OF FAMILIES ACCOMMODATED IN A SINGLE HOUSE1 family 2 families 3 families More than 3 families


1 Anjuthengu 2842 55.78% 995 19.53% 199 3.91% 42 0.82%2 Puthukurichi 4344 56.15% 1314 16.99% 256 3.31% 49 0.63%3 Pettah 1752 70.50% 293 11.79% 73 2.94% 28 1.13%4 Palayam 2484 68.81% 523 14.49% 121 3.35% 23 0.64%5 Valiyathura 4892 53.63% 1915 20.99% 363 3.98% 86 0.94%6 Kovalam 3781 51.50% 1271 17.31% 357 4.86% 79 1.08%7 Pulluvila 6950 53.03% 2523 19.25% 616 4.70% 98 0.75%8 Thoothur 5270 52.68% 1943 19.42% 505 5.05% 116 1.16%

Grand Total 32315 55.24% 10777 18.42% 2490 4.26% 521 0.89%55.24% 18.42% 4.26% 0.89%

4 NUMBER OF FAMILIES ACCOMMODATED IN A SINGLE HOUSE (Continuied)Not Applicable No Data Total

No Row Labels Value % Value % Value %

1 Anjuthengu 908 17.82% 109 2.14% 5095 100.00%2 Puthukurichi 1627 21.03% 146 1.89% 7736 100.00%3 Pettah 282 11.35% 57 2.29% 2485 100.00%4 Palayam 390 10.80% 69 1.91% 3610 100.00%5 Valiyathura 1670 18.31% 196 2.15% 9122 100.00%6 Kovalam 1739 23.69% 115 1.57% 7342 100.00%7 Pulluvila 2766 21.10% 154 1.17% 13107 100.00%8 Thoothur 2121 21.20% 49 0.49% 10004 100.00%

Grand Total 11503 19.66% 895 1.53% 58501 100.00%19.66% 1.53% 100.00%

5 THE ACCOMMODATION PATTERN OF INDIVIDUAL MEMBERS IN HOUSES(1-4) members (5-8) members >8 members Not Applicable



Grand Total 27053 46.24% 16990 29.04% 2399 4.10% 11214 19.17%46.24% 29.04% 4.10% 19.17%

5 THE ACCOMMODATION PATTERN OF INDIVIDUAL MEMBERS IN HOUSES (Continuied)No Data Total

Total Total Value %No Row Labels Value % Value %

1 Anjuthengu 122 2.39% 0.00% 5095 100.00%2 Puthukurichi 125 1.62% 0.00% 7736 100.00%3 Pettah 49 1.97% 0.00% 2485 100.00%4 Palayam 60 1.66% 0.00% 3610 100.00%5 Valiyathura 185 2.03% 0.00% 9122 100.00%6 Kovalam 108 1.47% 1 0.01% 7342 100.00%7 Pulluvila 142 1.08% 0.00% 13107 100.00%8 Thoothur 53 0.53% 0.00% 10004 100.00%

Grand Total 844 1.44% 1 0.00% 58501 100.00%1.44% 0.00% 100.00%


6 OWNERSHIP/ POSSESSION AND OCCUPATION OF LANDOwn Tenancy Purambokku Church



Grand Total 35773 61.15% 2120 3.62% 2424 4.14% 3748 6.41%61.15% 3.62% 4.14% 6.41%

6 OWNERSHIP/ POSSESSION AND OCCUPATION OF LAND (Continuied)Otti Landless NA Total



Grand Total 791 1.35% 11794 20.16% 1851 3.16% 58501 100.00%1.35% 20.16% 3.16% 100.00%

7 LAND AREA-WISE DISTRIBUTION OF FAMILIES1-5 cents 5-10 cents 10-15 cents >16 cents



Grand Total 28205 48.21% 7846 13.41% 2439 4.17% 3626 6.20%48.21% 13.41% 4.17% 6.20%

7 LAND AREA-WISE DISTRIBUTION OF FAMILIES (Continuied)N A No data Total



Grand Total 14548 24.87% 1837 3.14% 58501 100.00%24.87% 3.14% 100.00%


8 SEX-WISE DISTRIBUTION OF LANDMale Female Joint No Title Deed

No Row Labels Value % Value % Value % Value

1 Anjuthengu 1490 29.24% 914 17.94% 881 17.29% 4042 Puthukurichi 1943 25.12% 1974 25.52% 1789 23.13% 1593 Pettah 865 34.81% 564 22.70% 449 18.07% 64 Palayam 1447 40.08% 716 19.83% 509 14.10% 535 Valiyathura 2000 21.93% 2204 24.16% 1968 21.57% 4206 Kovalam 2094 28.52% 960 13.08% 1267 17.26% 3657 Pulluvila 4443 33.90% 1383 10.55% 1925 14.69% 12508 Thoothur 4799 47.97% 1286 12.85% 491 4.91% 350

Grand Total 19081 32.62% 10001 17.10% 9279 15.86% 300732.62% 17.10% 15.86% 5.14%

8 SEX-WISE DISTRIBUTION OF LAND (Continuied)NA No data Total

No Row Labels % Value % Value % Value %

1 Anjuthengu 7.93% 1175 23.06% 231 4.53% 5095 100.00%2 Puthukurichi 2.06% 1439 18.60% 432 5.58% 7736 100.00%3 Pettah 0.24% 513 20.64% 88 3.54% 2485 100.00%4 Palayam 1.47% 697 19.31% 188 5.21% 3610 100.00%5 Valiyathura 4.60% 2144 23.50% 386 4.23% 9122 100.00%6 Kovalam 4.97% 2394 32.61% 262 3.57% 7342 100.00%7 Pulluvila 9.54% 3687 28.13% 419 3.20% 13107 100.00%8 Thoothur 3.50% 2699 26.98% 379 3.79% 10004 100.00%

Grand Total 5.14% 14748 25.21% 2385 4.08% 58501 100.00%25.21% 4.08% 100.00%

9 ENERGY CONSUMPTION FOR COOKING

No Row Labels Smokeless Stove % Ordinary

Stove % LPG % Bio-Gas %


Grand Total 2896 100.00% 33425 100.00% 30574 100.00% 2990 100.00%4.95% 57.14% 52.26% 5.11%

9 ENERGY CONSUMPTION FOR COOKING (Continuied)

No Row Labels Solar % Electricity % None %


Grand Total 264 100.00% 22681 100.00% 6033 100.00%0.45% 38.77% 10.31%


10 HOME APPLIANCES

No Row Labels Fridge % Mixey % Grinder % Washing Machine % Fan %


Grand Total 24035 100.00% 35161 100.00% 12185 100.00% 6558 100.00% 39383 100.00%41.08% 60.10% 20.83% 11.21% 67.32%

10 HOME APPLIANCES (Continuied)

No Row Labels CD Player % Tape Recorder % Computer % AC % None %


Grand Total 12723 100.00% 3546 100.00% 5200 100.00% 1368 100.00% 11972 100.00%21.75% 6.06% 8.89% 2.34% 20.46%

11 OWNERSHIP OF VEHICLES (Continuied)No Row Labels Bi-Cycle % Two Wheeler % Four Wheeler % None %


Grand Total 4452 100.00% 10328 100.00% 3336 100.00% 41561 100.00%7.61% 17.65% 5.70% 71.04%

12 MEDIA/ PUBLICATIONS/COMMUNICATION METHODS

No Row Labels Daily %Jeevanum

Velicha-vum

% Jeevan-adam % Other % T.V %


Grand Total 12801 100.00% 1942 100.00% 493 100.00% 2946 100.00% 36335 100.00%21.88% 3.32% 0.84% 5.04% 62.11%

12 MEDIA/ PUBLICATIONS/COMMUNICATION METHODS (Continuied)

No Row Labels Land Phone % Mobile % Internet % None %

1 Anjuthengu 892 7.61% 3046 9.14% 96 4.11% 1242 9.12%2 Puthukurichi 1944 16.57% 4641 13.92% 366 15.67% 1695 12.44%3 Pettah 858 7.32% 1769 5.31% 477 20.43% 317 2.33%


12 MEDIA/ PUBLICATIONS/COMMUNICATION METHODS (Continuied)

No Row Labels Land Phone % Mobile % Internet % None %

4 Palayam 1224 10.44% 2637 7.91% 602 25.78% 365 2.68%5 Valiyathura 1995 17.01% 5266 15.80% 413 17.69% 1989 14.60%6 Kovalam 869 7.41% 4144 12.43% 100 4.28% 2058 15.11%7 Pulluvila 2258 19.25% 6730 20.19% 179 7.67% 3537 25.97%8 Thoothur 1689 14.40% 5099 15.30% 102 4.37% 2417 17.75%

Grand Total 11729 100.00% 33332 100.00% 2335 100.00% 13620 100.00%20.05% 56.98% 3.99% 23.28%

13 FISHING EQUIPMENTS

No Row Labels Machine Boat

Out Board Engine

Ordinary Boat Canoe Cattama-

ran


Grand Total 783 100.00% 766 100.00% 369 100.00% 2065 100.00% 1573 100.00%1.34% 1.31% 0.63% 3.53% 2.69%

13 FISHING EQUIPMENTS (Continuied)

No Row Labels Kamba Vala

Chala Vala

Thattu-madi

Disco vala

Choon-da

Kachav-ala

1 Anjuthengu 32 10.49% 70 9.74% 102 15.55% 121 23.14% 128 11.35% 31 5.19%2 Puthukurichi 39 12.79% 101 14.05% 88 13.41% 53 10.13% 175 15.51% 38 6.37%3 Pettah 1 0.33% 0 0.00% 0 0.00% 0 0.00% 0 0.00% 0 0.00%4 Palayam 0 0.00% 0 0.00% 0 0.00% 1 0.19% 1 0.09% 0 0.00%5 Valiyathura 45 14.75% 181 25.17% 33 5.03% 35 6.69% 104 9.22% 148 24.79%6 Kovalam 26 8.52% 100 13.91% 176 26.83% 144 27.53% 354 31.38% 56 9.38%7 Pulluvila 87 28.52% 200 27.82% 219 33.38% 103 19.69% 255 22.61% 254 42.55%8 Thoothur 75 24.59% 67 9.32% 38 5.79% 66 12.62% 111 9.84% 70 11.73%

Grand Total 305 100.00% 719 100.00% 656 100.00% 523 100.00% 1128 100.00% 597 100.00%0.52% 1.23% 1.12% 0.89% 1.93% 1.02%

13 FISHING EQUIPMENTS (Continuied)

No Row Labels Troll Net Gill Net Veeshu-

valaOt-

tathadi % Others % None %

1 Anjuthengu 18 16.98% 6 4.48% 108 46.96% 25 31.65% 13 7.39% 4481 8.63%2 Puthukurichi 18 16.98% 4 2.99% 10 4.35% 12 15.19% 6 3.41% 7157 13.79%3 Pettah 0 0.00% 0 0.00% 0 0.00% 0 0.00% 2 1.14% 2449 4.72%4 Palayam 0 0.00% 0 0.00% 0 0.00% 1 1.27% 20 11.36% 3494 6.73%5 Valiyathura 17 16.04% 1 0.75% 15 6.52% 18 22.78% 17 9.66% 8437 16.25%6 Kovalam 14 13.21% 6 4.48% 57 24.78% 7 8.86% 59 33.52% 6460 12.44%7 Pulluvila 33 31.13% 24 17.91% 32 13.91% 11 13.92% 26 14.77% 11430 22.02%8 Thoothur 6 5.66% 93 69.40% 8 3.48% 5 6.33% 33 18.75% 8001 15.41%

Grand Total 106 100.00% 134 100.00% 230 100.00% 79 100.00% 176 100.00% 51909 100.00%0.18% 0.23% 0.39% 0.14% 0.30% 88.73%

14 OTHER OCCUPATIONAL EQUIPMENTS

No Row Labels Sewing machine % Camera % Auto

Rikshaw % Taxi % tempo %

1 Anjuthengu 295 7.21% 21 5.77% 103 10.64% 15 8.29% 6 6.67%2 Puthukurichi 510 12.46% 57 15.66% 127 13.12% 33 18.23% 10 11.11%3 Pettah 229 5.59% 61 16.76% 63 6.51% 15 8.29% 9 10.00%4 Palayam 275 6.72% 58 15.93% 76 7.85% 18 9.94% 9 10.00%


14 OTHER OCCUPATIONAL EQUIPMENTS (Continuied)

No Row Labels Bus % Lorry % JCB % Others % None %

1 Anjuthengu 1 8.33% 9 11.54% 1 7.69% 5 5 4607 8.82%2 Puthukurichi 2 16.67% 8 10.26% 1 7.69% 13 13 6894 13.20%3 Pettah 1 8.33% 7 8.97% 2 15.38% 13 13 2111 4.04%4 Palayam 0 0.00% 8 10.26% 1 7.69% 12 12 3135 6.00%5 Valiyathura 0 0.00% 7 8.97% 0 0.00% 12 12 8147 15.60%6 Kovalam 0 0.00% 13 16.67% 5 38.46% 20 20 6601 12.64%7 Pulluvila 4 33.33% 20 25.64% 2 15.38% 29 29 11765 22.52%8 Thoothur 4 33.33% 6 7.69% 1 7.69% 30 30 8972 17.18%

Grand Total 12 100.00% 78 100.00% 13 100.00% 134 134 52232 100.00%0.02% 0.13% 0.02% 0.23% 89.28%

14 OTHER OCCUPATIONAL EQUIPMENTS (Continuied)

No Row Labels Sewing machine % Camera % Auto

Rikshaw % Taxi % tempo %

5 Valiyathura 541 13.22% 57 15.66% 208 21.49% 33 18.23% 18 20.00%6 Kovalam 448 10.95% 17 4.67% 187 19.32% 12 6.63% 12 13.33%7 Pulluvila 968 23.65% 42 11.54% 155 16.01% 33 18.23% 19 21.11%8 Thoothur 827 20.21% 51 14.01% 49 5.06% 22 12.15% 7 7.78%

Grand Total 4093 100.00% 364 100.00% 968 100.00% 181 100.00% 90 100.00%7.00% 0.62% 1.65% 0.31% 0.15%

15 TRADE AND COMMERCE

No Row Labels Petty shop % Shop % Shopping mall % Self Em-

ployed %


Grand Total 655 100.00% 405 100.00% 113 100.00% 2238 100.00%1.12% 0.69% 0.19% 3.83%

15 TRADE AND COMMERCE (Continuied)

No Row Labels Business % Other % None %


Grand Total 166 100.00% 484 100.00% 53407 100.00%0.28% 0.83% 91.29%

16 AGRICULTURE

No Row Labels Paddy % Coconut % Rubber % Cash crops % Tapioca %

1 Anjuthengu 3 11.54% 189 6.10% 4 4.12% 1 4.55% 53 22.08%2 Puthukurichi 4 15.38% 1053 33.99% 9 9.28% 6 27.27% 72 30.00%3 Pettah 0 0.00% 124 4.00% 16 16.49% 1 4.55% 24 10.00%4 Palayam 7 26.92% 160 5.16% 33 34.02% 5 22.73% 26 10.83%5 Valiyathura 2 7.69% 286 9.23% 3 3.09% 1 4.55% 6 2.50%6 Kovalam 2 7.69% 197 6.36% 9 9.28% 4 18.18% 19 7.92%


16 AGRICULTURE (Continuied)

No Row Labels Plantain % Vegeta-bles % Flowers % Fish % Livestock %

1 Anjuthengu 98 9.60% 21 7.42% 22 6.94% 53 3.09% 30 15.46%

2 Puthukurichi 263 25.76% 87 30.74% 92 29.02% 37 2.16% 28 14.43%

3 Pettah 78 7.64% 45 15.90% 33 10.41% 13 0.76% 21 10.82%

4 Palayam 75 7.35% 19 6.71% 15 4.73% 2 0.12% 15 7.73%

5 Valiyathura 78 7.64% 28 9.89% 39 12.30% 91 5.31% 5 2.58%

6 Kovalam 111 10.87% 35 12.37% 23 7.26% 139 8.10% 28 14.43%

7 Pulluvila 278 27.23% 31 10.95% 59 18.61% 454 26.47% 51 26.29%

8 Thoothur 40 3.92% 17 6.01% 34 10.73% 926 53.99% 16 8.25%

Grand Total 1021 100.00% 283 100.00% 317 100.00% 1715 100.00% 194 100.00%1.75% 0.48% 0.54% 2.93% 0.33%


No Row Labels Poultry % Others % None %

1 Anjuthengu 34 8.42% 2 1.75% 4635 8.99%

2 Puthukurichi 43 10.64% 5 4.39% 6209 12.04%

3 Pettah 40 9.90% 2 1.75% 2237 4.34%

4 Palayam 29 7.18% 2 1.75% 3232 6.27%

5 Valiyathura 22 5.45% 8 7.02% 8440 16.36%

6 Kovalam 75 18.56% 6 5.26% 6788 13.16%

7 Pulluvila 144 35.64% 40 35.09% 11396 22.09%

8 Thoothur 17 4.21% 49 42.98% 8648 16.76%

Grand Total 404 100.00% 114 100.00% 51585 100.00%0.69% 0.19% 88.18%


No Row Labels Paddy % Coconut % Rubber % Cash crops % Tapioca %

7 Pulluvila 3 11.54% 861 27.79% 5 5.15% 4 18.18% 36 15.00%

8 Thoothur 5 19.23% 228 7.36% 18 18.56% 0 0.00% 4 1.67%

Grand Total 26 100.00% 3098 100.00% 97 100.00% 22 100.00% 240 100.00%0.04% 5.30% 0.17% 0.04% 0.41%


17a. MONTHLY EXPENSES FOR FOOD

No Row Labels 0 <2000 2000-3000 >3000 Grand

Total No data <2000 2000-3000 >3000 Grand

Total1 Anjuthengu 235 828 2423 1406 4892 0.42% 1.49% 4.35% 2.53% 8.79%2 Puthukurichi 637 1030 3433 2302 7402 1.14% 1.85% 6.17% 4.14% 13.30%3 Pettah 231 171 828 1052 2282 0.42% 0.31% 1.49% 1.89% 4.10%4 Palayam 425 292 1174 1416 3307 0.76% 0.52% 2.11% 2.54% 5.94%5 Valiyathura 705 1011 4142 2873 8731 1.27% 1.82% 7.44% 5.16% 15.69%6 Kovalam 522 720 3213 2622 7077 0.94% 1.29% 5.77% 4.71% 12.72%7 Pulluvila 449 1312 5874 4966 12601 0.81% 2.36% 10.55% 8.92% 22.64%8 Thoothur 480 1047 4199 3634 9360 0.86% 1.88% 7.55% 6.53% 16.82%

Grand Total 3684 6411 25286 20271 55652 6.62% 11.52% 45.44% 36.42% 100.00%

17b. MONTHLY EXPENSES FOR EDUCATION

No Row Labels 0 <2000 2000-3000 >3000 Grand

TotalNot Ap-plicable <2000 2000-

3000 >3000 Grand Total

1 Anjuthengu 2644 922 723 256 4545 5.08% 1.77% 1.39% 0.49% 8.72%2 Puthukurichi 3993 1448 1101 490 7032 7.68% 2.78% 2.12% 0.94% 13.50%3 Pettah 1205 343 442 274 2264 2.32% 0.66% 0.85% 0.53% 4.35%4 Palayam 1823 529 551 336 3239 3.50% 1.02% 1.06% 0.65% 6.22%5 Valiyathura 4729 1375 1479 789 8372 9.09% 2.64% 2.84% 1.52% 16.07%6 Kovalam 3428 1486 1009 494 6417 6.59% 2.86% 1.94% 0.95% 12.32%7 Pulluvila 6452 2440 1748 813 11453 12.40% 4.69% 3.36% 1.56% 21.98%8 Thoothur 4452 1619 1665 955 8691 8.56% 3.11% 3.20% 1.84% 16.68%

Grand Total 28726 10162 8718 4407 52013 55.23% 19.54% 16.76% 8.47% 99.83%

17c. MONTHLY EXPENSES FOR MEDICINE

No Row Labels None <500 500-1000 >1000 Grand Total None <500 500-1000 >1000 Grand

Total1 Anjuthengu 493 1208 75 3319 5095 0.84% 2.07% 0.13% 5.67% 8.71%2 Puthukurichi 1481 1879 137 4237 7734 2.53% 3.21% 0.23% 7.24% 13.22%3 Pettah 463 554 56 1412 2485 0.79% 0.95% 0.10% 2.41% 4.25%4 Palayam 868 906 80 1755 3609 1.48% 1.55% 0.14% 3.00% 6.17%5 Valiyathura 1422 2468 135 5097 9122 2.43% 4.22% 0.23% 8.71% 15.60%6 Kovalam 961 1858 137 4385 7341 1.64% 3.18% 0.23% 7.50% 12.55%7 Pulluvila 1627 3915 296 7267 13105 2.78% 6.69% 0.51% 12.43% 22.41%8 Thoothur 945 1425 63 7562 9995 1.62% 2.44% 0.11% 12.93% 17.09%

Grand Total 8260 14213 979 35034 58486 14.12% 24.30% 1.67% 59.90% 100.00%

18 EXTENT OF DEBTSNo Yes Total

No Row Labels Value % Value % Value %1 Anjuthengu 1305 25.61% 3790 74.39% 5095 100.00%2 Puthukurichi 2738 35.39% 4998 64.61% 7736 100.00%3 Pettah 1108 44.59% 1377 55.41% 2485 100.00%4 Palayam 1447 40.08% 2163 59.92% 3610 100.00%5 Valiyathura 2903 31.82% 6219 68.18% 9122 100.00%6 Kovalam 1713 23.33% 5629 76.67% 7342 100.00%7 Pulluvila 4008 30.58% 9099 69.42% 13107 100.00%8 Thoothur 2909 29.08% 7095 70.92% 10004 100.00%

Grand Total 18131 30.99% 40370 69.01% 58501 100.00%30.99% 69.01% 100.00%

19 CURRENT SIZE OF DEBTS

0-50000 50000-1 lakh 1-3 lakh 3-6 lakh 6-10 lakh

No Row Labels Value % Value % Value % Value % Value %1 Anjuthengu 1209 23.73% 1014 19.90% 986 19.35% 1100 21.59% 393 7.71%2 Puthukurichi 2669 34.50% 1283 16.58% 1198 15.49% 1337 17.28% 599 7.74%3 Pettah 1097 44.14% 323 13.00% 239 9.62% 376 15.13% 184 7.40%4 Palayam 1366 37.84% 427 11.83% 467 12.94% 561 15.54% 303 8.39%


19 CURRENT SIZE OF DEBTS (Continuied)

>10 lakh None No data Total

No Row Labels Value % Value % Value % Value %1 Anjuthengu 134 2.63% 76 1.49% 183 3.59% 5095 100.00%2 Puthukurichi 255 3.30% 168 2.17% 227 2.93% 7736 100.00%3 Pettah 98 3.94% 108 4.35% 60 2.41% 2485 100.00%4 Palayam 166 4.60% 170 4.71% 150 4.16% 3610 100.00%5 Valiyathura 336 3.68% 292 3.20% 377 4.13% 9122 100.00%6 Kovalam 318 4.33% 182 2.48% 126 1.72% 7342 100.00%7 Pulluvila 621 4.74% 370 2.82% 281 2.14% 13107 100.00%8 Thoothur 651 6.51% 491 4.91% 409 4.09% 10004 100.00%

Grand Total 2579 4.41% 1857 3.17% 1813 3.10% 58501 100.00%4.41% 3.17% 3.10% 100.00%

19 CURRENT SIZE OF DEBTS (Continuied)

0-50000 50000-1 lakh 1-3 lakh 3-6 lakh 6-10 lakh

No Row Labels Value % Value % Value % Value % Value %5 Valiyathura 2637 28.91% 1535 16.83% 1314 14.40% 1828 20.04% 803 8.80%6 Kovalam 1676 22.83% 1067 14.53% 1167 15.89% 1952 26.59% 854 11.63%7 Pulluvila 3903 29.78% 1868 14.25% 1942 14.82% 2782 21.23% 1339 10.22%8 Thoothur 2685 26.84% 1002 10.02% 1351 13.50% 2270 22.69% 1145 11.45%

Grand Total 17242 29.47% 8519 14.56% 8664 14.81% 12206 20.86% 5620 9.61%29.47% 14.56% 14.81% 20.86% 9.61%

20 AVAILABILITY OF RATION CARDSNo Yes Total


Grand Total 8544 14.60% 49957 85.40% 58501 100.00%14.60% 85.40% 100.00%

21 REGISTRATION AS APL OR BPLN/A APL BPL Total


Grand Total 12953 22.14% 32226 55.09% 13321 22.77% 58501 100.00%22.14% 55.09% 22.77% 100.00%

22 EXTENT OF MEDICAL INSURANCE No Yes Total

No Row Labels Value % Value % Value %1 Anjuthengu 2471 48.50% 2624 51.50% 5095 100.00%2 Puthukurichi 5137 66.40% 2599 33.60% 7736 100.00%3 Pettah 1790 72.03% 695 27.97% 2485 100.00%


22 EXTENT OF MEDICAL INSURANCE (Continuied)No Yes Total

No Row Labels Value % Value % Value %4 Palayam 2496 69.14% 1113 30.83% 3610 100.00%5 Valiyathura 6561 71.93% 2561 28.07% 9122 100.00%6 Kovalam 3639 49.56% 3703 50.44% 7342 100.00%7 Pulluvila 6945 52.99% 6162 47.01% 13107 100.00%8 Thoothur 8506 85.03% 1498 14.97% 10004 100.00%

Grand Total 37545 64.18% 20955 35.82% 58501 100.00%64.18% 35.82% 100.00%

23 AVAILABILITY OF SANITARY LATRINESAttached Public Open Air No data Total

No Row Labels Value % Value % Value % Value % Value %1 Anjuthengu 3881 76.17% 469 9.21% 625 12.27% 120 2.36% 5095 100.00%2 Puthukurichi 6876 88.88% 462 5.97% 109 1.41% 289 3.74% 7736 100.00%3 Pettah 2369 95.33% 43 1.73% 14 0.56% 59 2.37% 2485 100.00%4 Palayam 3412 94.52% 116 3.21% 28 0.78% 54 1.50% 3610 100.00%5 Valiyathura 8355 91.59% 396 4.34% 116 1.27% 255 2.80% 9122 100.00%6 Kovalam 5848 79.65% 1120 15.25% 222 3.02% 152 2.07% 7342 100.00%7 Pulluvila 8938 68.19% 2698 20.58% 1311 10.00% 160 1.22% 13107 100.00%8 Thoothur 7555 75.52% 868 8.68% 1021 10.21% 560 5.60% 10004 100.00%

Grand Total 47234 80.74% 6172 10.55% 3446 5.89% 1649 2.82% 58501 100.00%80.74% 10.55% 5.89% 2.82% 100.00%

24 SOURCE OF WATER FOR DOMESTIC USE

No Row Labels Own % Public % Piped % Public Pipe % Borewell %


Grand Total 11849 100.00% 3955 100.00% 16468 100.00% 19797 100.00% 11870 100.00%20.25% 6.76% 28.15% 33.84% 20.29%

24 SOURCE OF WATER FOR DOMESTIC USE (Continuied)

No Row Labels Canal % water purchased %

Rainwater Harv-

esting% Nearby

Houses %


Grand Total 16 100.00% 2674 100.00% 70 100.00% 6660 100.00%0.03% 4.57% 0.12% 11.38%

25 DOMESTIC DRAINAGE SYSTEMNo Row Labels Drains % Planned Pits % None %

1 Anjuthengu 297 4.44% 1309 4.74% 3379 14.37%2 Puthukurichi 183 2.73% 4188 15.18% 3102 13.19%3 Pettah 618 9.23% 1462 5.30% 376 1.60%4 Palayam 1187 17.73% 1609 5.83% 752 3.20%5 Valiyathura 204 3.05% 6348 23.01% 2425 10.31%


25 DOMESTIC DRAINAGE SYSTEM (Continuied)No Row Labels Drains % Planned Pits % None %

6 Kovalam 2263 33.81% 2269 8.22% 2823 12.00%7 Pulluvila 1423 21.26% 4768 17.28% 6878 29.24%8 Thoothur 518 7.74% 5641 20.44% 3786 16.10%

Grand Total 6693 100.00% 27594 100.00% 23521 100.00%11.44% 47.17% 40.21%

26 WASTE DISPOSAL

No Row Labels Own land % Public Bin % Water Sources % Waste

Disposal % Other %


Grand Total 22833 100.00% 5454 100.00% 18959 100.00% 4970 100.00% 6948 100.00%39.03% 9.32% 32.41% 8.50% 11.88%

27 AVAILABILITY OF STUDY FACILITIES AT HOME

No Row Labels Table & Chair % Study

time % Study materials % None % Not Ap-

plicable %


Grand Total 20016 100.00% 15104 100.00% 13491 100.00% 6300 100.00% 25963 100.00%34.21% 25.82% 23.06% 10.77% 44.38%

28 PARENTAL MONITORING OF CHILDREN’S STUDIESAlways Occassionally Exam Time Unable To


Grand Total 26031 44.50% 4547 7.77% 767 1.31% 885 1.51%44.50% 7.77% 1.31% 1.51%

28 PARENTAL MONITORING OF CHILDREN’S STUDIES (Continuied)Not applicable No data Total

No Row Labels Value % Value % Value %1 Anjuthengu 2013 39.51% 345 6.77% 5095 100.00%2 Puthukurichi 2942 38.03% 472 6.10% 7736 100.00%3 Pettah 1038 41.77% 85 3.42% 2485 100.00%4 Palayam 1264 35.01% 261 7.23% 3610 100.00%5 Valiyathura 3698 40.54% 616 6.75% 9122 100.00%6 Kovalam 2818 38.38% 394 5.37% 7342 100.00%7 Pulluvila 5775 44.06% 453 3.46% 13107 100.00%


28 PARENTAL MONITORING OF CHILDREN’S STUDIES (Continuied)Not applicable No data Total

No Row Labels Value % Value % Value %8 Thoothur 3504 35.03% 593 5.93% 10004 100.00%

Grand Total 23052 39.40% 3219 5.50% 58501 100.00%39.40% 5.50% 100.00%

29 COMMUNITY SUPPORT FOR CHILDREN’S STUDIES

No Row Labels Financial % Study Facili-ties %

Monitoring responsibil-

ity% Free Tution %


Grand Total 2397 100.00% 1291 100.00% 1072 100.00% 1809 100.00%4.10% 2.21% 1.83% 3.09%

29 COMMUNITY SUPPORT FOR CHILDREN’S STUDIES (Continuied)

No Row Labels Guidance % None % Not Applicable %


Grand Total 1535 100.00% 19363 100.00% 30887 100.00%2.62% 33.10% 52.80%

30 AVAILABILITY OF POC COMPLETE BIBLE IN THE FAMILYNo Yes Total


Grand Total 4909 8.39% 53592 91.61% 58501 100.00%8.39% 91.61% 100.00%

31 FAMILY PRAYER

Always % Never % Occasion-ally % No data % Total

No Row Labels Value % Value % Value % Value % Value %1 Anjuthengu 4425 86.85% 243 4.77% 379 7.44% 48 0.94% 5095 100.00%2 Puthukurichi 6977 90.19% 273 3.53% 353 4.56% 133 1.72% 7736 100.00%3 Pettah 2262 91.03% 61 2.45% 108 4.35% 54 2.17% 2485 100.00%4 Palayam 3253 90.11% 110 3.05% 198 5.48% 49 1.36% 3610 100.00%5 Valiyathura 7769 85.17% 419 4.59% 767 8.41% 167 1.83% 9122 100.00%6 Kovalam 5387 73.37% 812 11.06% 1037 14.12% 106 1.44% 7342 100.00%7 Pulluvila 10422 79.51% 1138 8.68% 1396 10.65% 151 1.15% 13107 100.00%


31 FAMILY PRAYER (Continuied)

Always % Never % Occasion-ally % No data % Total

No Row Labels Value % Value % Value % Value % Value %8 Thoothur 7428 74.25% 705 7.05% 1789 17.88% 82 0.82% 10004 100.00%

Grand Total 47923 81.92% 3761 6.43% 6027 10.30% 790 1.35% 58501 100.00%81.92% 6.43% 10.30% 1.35% 100.00%

32 FAMILY PARTICIPATION IN BCC MEETINGS

Con-sistantly % Occas-

sionally % Never % No Data % Total

No Row Labels Value % Value % Value % Value % Value %1 Anjuthengu 3578 70.23% 1108 21.75% 340 6.67% 69 1.35% 5095 100.00%2 Puthukurichi 5662 73.19% 1437 18.58% 438 5.66% 199 2.57% 7736 100.00%3 Pettah 1428 57.46% 734 29.54% 247 9.94% 76 3.06% 2485 100.00%4 Palayam 2103 58.25% 1094 30.30% 344 9.53% 69 1.91% 3610 100.00%5 Valiyathura 5848 64.11% 2441 26.76% 605 6.63% 228 2.50% 9122 100.00%6 Kovalam 5169 70.40% 1535 20.91% 491 6.69% 147 2.00% 7342 100.00%7 Pulluvila 10210 77.90% 2111 16.11% 608 4.64% 178 1.36% 13107 100.00%8 Thoothur 7969 79.66% 1608 16.07% 299 2.99% 128 1.28% 10004 100.00%

Grand Total 41967 71.74% 12068 20.63% 3372 5.76% 1094 1.87% 58501 100.00%71.74% 20.63% 5.76% 1.87% 100.00%

33 OCCURRENCE OF DEATH AND ITS CAUSES (Continuied)

None % Child Death % Oldage

Death % Death due to diseases %


Grand Total 51972 100.00% 318 100.00% 1973 100.00% 2071 100.00%88.84% 0.54% 3.37% 3.54%

33 OCCURRENCE OF DEATH AND ITS CAUSESAccident

Death % Suicide % Murder % Obvious Death %


Grand Total 438 100.00% 198 100.00% 28 100.00% 494 100.00%0.75% 0.34% 0.05% 0.84%

34 SEX-WISE DISTRIBUTION OF POPULATIONNo Row Labels Anjuthengu Puthukurichi Pettah Palayam Valiyathura Kovalam Pulluvila Thoothoor Grand Total

1 F 48.45%2 M 9585 13807 4456 6318 15848 13536 23417 18567 1055343 F 9.08% 13.08% 4.22% 5.99% 15.02% 12.83% 22.19% 17.59% 100.00%4 M 51.55%


34 SEX-WISE DISTRIBUTION OF POPULATIONNo Row Labels Anjuthengu Puthukurichi Pettah Palayam Valiyathura Kovalam Pulluvila Thoothoor Grand Total

5 F 10202 14384 4420 6348 16483 14657 25569 20224 1122876 M 9.09% 12.81% 3.94% 5.65% 14.68% 13.05% 22.77% 18.01% 100.00%7 F 19787 28191 8876 12666 32331 28193 48986 38791 2178218 M 9.08% 12.94% 4.07% 5.81% 14.84% 12.94% 22.49% 17.81% 100.00%

36 BLOOD GROUP

Anjuthen-gu

Puthuku-richi Pettah Palayam Valiya-

thura

No Row Labels Value % Value % Value % Value % Value %1 A+ 1797 0.82% 2558 1.17% 1109 0.51% 1503 0.69% 2716 1.25%2 A- 194 0.09% 377 0.17% 138 0.06% 226 0.10% 364 0.17%3 B+ 1779 0.82% 3804 1.75% 1498 0.69% 2195 1.01% 6316 2.90%4 B- 267 0.12% 383 0.18% 193 0.09% 224 0.10% 588 0.27%5 AB+ 363 0.17% 693 0.32% 305 0.14% 414 0.19% 967 0.44%6 AB- 80 0.04% 146 0.07% 46 0.02% 64 0.03% 129 0.06%7 O+ 2764 1.27% 5981 2.75% 2354 1.08% 3140 1.44% 6246 2.87%8 O- 396 0.18% 705 0.32% 266 0.12% 377 0.17% 835 0.38%9 Do not know 9939 4.56% 10317 4.74% 2260 1.04% 3288 1.51% 11179 5.13%

10 No Data 2208 1.01% 3227 1.48% 707 0.32% 1235 0.57% 2956 1.36%Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

35 AGE-WISE DISTRIBUTION OF POPULATION Row Labels 1-5 yrs 6-15 yrs 16-17 yrs 18-21 yrs 22-40 yrs 41-60 yrs >60yrs Grand Total

Anjuthengu 1721 3267 609 1206 6599 4691 1694 19787F 860 1574 303 601 3142 2219 886 9585

M 861 1693 306 605 3457 2472 808 10202Puthukurichi 2978 4424 787 1547 9377 6538 2540 28191

F 1419 2173 388 772 4578 3185 1292 13807M 1559 2251 399 775 4799 3353 1248 14384

Pettah 612 1119 249 582 2536 2640 1138 8876F 307 537 140 291 1283 1319 579 4456

M 305 582 109 291 1253 1321 559 4420Palayam 846 1684 312 798 3804 3604 1618 12666

F 410 826 156 422 1933 1763 808 6318M 436 858 156 376 1871 1841 810 6348

Valiyathura 3026 4803 896 1811 10627 8226 2942 32331F 1494 2308 451 922 5222 3942 1509 15848

M 1532 2495 445 889 5405 4284 1433 16483Kovalam 2867 5050 1020 1978 9819 5598 1861 28193

F 1400 2522 492 944 4711 2616 851 13536M 1467 2528 528 1034 5108 2982 1010 14657

Pulluvila 4749 8658 1602 3377 17242 9856 3502 48986F 2338 4203 799 1642 8080 4679 1676 23417

M 2411 4455 803 1735 9162 5177 1826 25569Thoothur 4096 7252 1519 2842 13399 7337 2347 38792

F 1986 3521 752 1405 6355 3432 1116 18567M 2110 3730 767 1437 7044 3905 1231 20224

Grand Total 20895 36257 6994 14141 73403 48490 17642 217822


36A BLOOD GROUP OF THE PERSONS IN THE AGE GROUP OF 18-45

Anjuthen-gu


thura

No Row Labels Value % Value % Value % Value % Value %

1 A+ 881 0.86% 1277 1.25% 503 0.49% 665 0.65% 1323 1.30%

2 A- 105 0.10% 184 0.18% 61 0.06% 113 0.11% 177 0.17%

3 B+ 924 0.91% 1828 1.79% 699 0.69% 1026 1.01% 3074 3.02%

4 B- 137 0.13% 190 0.19% 91 0.09% 113 0.11% 300 0.29%

5 AB+ 204 0.20% 351 0.34% 151 0.15% 176 0.17% 455 0.45%

6 AB- 42 0.04% 67 0.07% 22 0.02% 25 0.02% 71 0.07%

7 O+ 1464 1.44% 2892 2.84% 1018 1.00% 1395 1.37% 3050 2.99%

8 O- 195 0.19% 337 0.33% 121 0.12% 183 0.18% 402 0.39%

9 Do not know 4227 4.15% 4366 4.28% 867 0.85% 1358 1.33% 4823 4.73%

10 No Data 938 0.92% 1422 1.40% 288 0.28% 502 0.49% 1209 1.19%

Grand Total 9117 8.95% 12914 12.67% 3821 3.75% 5556 5.45% 14902 14.62%

36A BLOOD GROUP OF THE PERSONS IN THE AGE GROUP OF 18-45 (Continuied)

Kovalam Pulluvila Thoothur Total Value Total %


1 A+ 1215 1.19% 1563 1.53% 1164 1.14% 8591 8.43%

2 A- 164 0.16% 227 0.22% 205 0.20% 1236 1.21%

3 B+ 1389 1.36% 2033 2.00% 1409 1.38% 12382 12.15%

36 BLOOD GROUP (Continuied)



1 A+ 2323 1.07% 2879 1.32% 1850 0.85% 16735 7.68%

2 A- 351 0.16% 411 0.19% 357 0.16% 2418 1.11%

3 B+ 2718 1.25% 3818 1.75% 2361 1.08% 24489 11.24%

4 B- 341 0.16% 441 0.20% 372 0.17% 2809 1.29%

5 AB+ 557 0.26% 685 0.31% 494 0.23% 4478 2.06%

6 AB- 172 0.08% 170 0.08% 153 0.07% 960 0.44%

7 O+ 4008 1.84% 6331 2.91% 3154 1.45% 33978 15.60%

8 O- 687 0.32% 972 0.45% 504 0.23% 4742 2.18%

9 Do not know 14342 6.58% 31828 14.61% 28062 12.88% 111215 51.06%

10 No Data 2664 1.22% 1451 0.67% 1485 0.68% 15933 7.31%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%


36A BLOOD GROUP OF THE PERSONS IN THE AGE GROUP OF 18-45 (Continuied)



4 B- 185 0.18% 244 0.24% 241 0.24% 1501 1.47%5 AB+ 279 0.27% 366 0.36% 303 0.30% 2285 2.24%6 AB- 84 0.08% 79 0.08% 76 0.07% 466 0.46%7 O+ 2068 2.03% 3222 3.16% 1874 1.84% 16983 16.67%8 O- 366 0.36% 539 0.53% 288 0.28% 2431 2.39%9 Do not know 6588 6.47% 14652 14.38% 12308 12.08% 49189 48.27%

10 No Data 1176 1.15% 647 0.63% 625 0.61% 6807 6.68%

Grand Total 13527 13.27% 23572 23.13% 18493 18.15% 101902 100.00%

37 MARITAL STATUS

Anjuthen-gu


thura

No Row Labels Value % Value % Value % Value % Value %1 Married 9742 4.47% 13648 6.27% 4774 2.19% 6568 3.02% 16311 7.49%2 F 4783 2.20% 6737 3.09% 2352 1.08% 3244 1.49% 8030 3.69%3 M 4959 2.28% 6911 3.17% 2422 1.11% 3324 1.53% 8281 3.80%4 Unmarried 6528 3.00% 9353 4.29% 3127 1.44% 4104 1.88% 10644 4.89%5 F 2711 1.24% 3995 1.83% 1431 0.66% 1878 0.86% 4542 2.09%6 M 3817 1.75% 5358 2.46% 1696 0.78% 2226 1.02% 6102 2.80%7 Widowers 155 0.07% 152 0.07% 64 0.03% 65 0.03% 325 0.15%

10 Widows 968 0.44% 1166 0.54% 446 0.20% 574 0.26% 1568 0.72%13 Divorced 49 0.02% 96 0.04% 25 0.01% 49 0.02% 108 0.05%14 F 31 0.01% 51 0.02% 17 0.01% 26 0.01% 61 0.03%15 M 18 0.01% 45 0.02% 8 0.00% 23 0.01% 47 0.02%16 Abandoned by husband 79 0.04% 166 0.08% 35 0.02% 64 0.03% 189 0.09%19 Abandoned by wife 67 0.03% 69 0.03% 16 0.01% 28 0.01% 104 0.05%22 Unmarried mother 24 0.01% 29 0.01% 6 0.00% 7 0.00% 19 0.01%25 Living together 334 0.15% 831 0.38% 192 0.09% 193 0.09% 732 0.34%26 F 168 0.08% 397 0.18% 103 0.05% 82 0.04% 368 0.17%27 M 166 0.08% 434 0.20% 89 0.04% 111 0.05% 364 0.17%28 No Data 1841 0.85% 2681 1.23% 191 0.09% 1014 0.47% 2325 1.07%29 F 867 0.40% 1325 0.61% 92 0.04% 469 0.22% 1114 0.51%30 M 974 0.45% 1356 0.62% 99 0.05% 545 0.25% 1211 0.56%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

37 MARITAL STATUS (Continuied)


No Row Labels Value % Value % Value %1 Married 12882 5.91% 23697 10.88% 18276 8.39% 105898 48.62%2 F 6315 2.90% 11707 5.37% 9124 4.19% 52292 24.01%3 M 6567 3.01% 11990 5.50% 9152 4.20% 53606 24.61%4 Unmarried 10377 4.76% 20613 9.46% 18370 8.43% 83116 38.16%5 F 4464 2.05% 8844 4.06% 7990 3.67% 35855 16.46%6 M 5913 2.71% 11769 5.40% 10379 4.76% 47260 21.70%7 Widowers 218 0.10% 404 0.19% 223 0.10% 1606 0.74%

10 Widows 911 0.10% 1488 0.68% 1061 0.49% 8182 3.76%


37A MARITAL STATUS ABOVE 40Anjuthengu Puthukurichi Pettah Palayam Valiyathura

Row Labels Value % Value % Value % Value % Value %

Married 5229 7.35% 7416 10.42% 3219 4.52% 4255 5.98% 9129 12.83%F 2167 3.05% 3134 4.40% 1420 2.00% 1873 2.63% 3833 5.39%M 3062 4.30% 4282 6.02% 1799 2.53% 2382 3.35% 5296 7.44%Unmarried 183 0.26% 249 0.35% 134 0.19% 186 0.26% 330 0.46%F 78 0.11% 113 0.16% 81 0.11% 93 0.13% 146 0.21%M 105 0.15% 136 0.19% 53 0.07% 93 0.13% 184 0.26%Widowers 103 0.14% 111 0.16% 51 0.07% 51 0.07% 206 0.29%Widows 894 1.26% 1067 1.50% 431 0.61% 533 0.75% 1468 2.06%Divorced 30 0.04% 38 0.05% 15 0.02% 25 0.04% 61 0.09%F 20 0.03% 22 0.03% 13 0.02% 10 0.01% 37 0.05%M 10 0.01% 16 0.02% 2 0.00% 15 0.02% 24 0.03%Abandoned by husband 50 0.07% 110 0.15% 23 0.03% 44 0.06% 137 0.19%

Abandoned by wife 42 0.06% 34 0.05% 10 0.01% 18 0.03% 75 0.11%

Unmarried mother 9 0.01% 12 0.02% 3 0.00% 7 0.01% 11 0.02%

F 8 0.01% 10 0.01% 1 0.00% 6 0.01% 11 0.02%M 1 0.00% 2 0.00% 2 0.00% 1 0.00% 0.00%Living together 113 0.16% 189 0.27% 51 0.07% 63 0.09% 253 0.36%F 53 0.07% 99 0.14% 28 0.04% 26 0.04% 123 0.17%M 60 0.08% 90 0.13% 23 0.03% 37 0.05% 130 0.18%No Data 202 0.28% 489 0.69% 37 0.05% 287 0.40% 218 0.31%F 109 0.15% 254 0.36% 20 0.03% 142 0.20% 115 0.16%M 93 0.13% 235 0.33% 17 0.02% 145 0.20% 103 0.14%

Grand Total 6855 9.63% 9715 13.65% 3974 5.58% 5469 7.69% 11888 16.71%

37A MARITAL STATUS ABOVE 40Kovalam Pulluvila Thoothur

Total Value Total %Row Labels Value % Value % Value %

Married 6319 8.88% 11944 16.79% 9039 12.70% 56550 79.47%

F 2600 3.65% 5135 7.22% 3896 5.48% 24058 33.81%

M 3719 5.23% 6809 9.57% 5143 7.23% 32492 45.66%

37 MARITAL STATUS (Continuied)


No Row Labels Value % Value % Value %12 M 0 0.00% 0 0.00% 0 0.00% 0 0.00%13 Divorced 42 0.02% 100 0.05% 29 0.01% 498 0.23%14 F 14 0.01% 33 0.02% 5 0.00% 238 0.11%15 M 28 0.01% 67 0.03% 24 0.01% 260 0.12%16 Abandoned by husband 107 0.05% 136 0.06% 51 0.02% 827 0.38%19 Abandoned by wife 51 0.02% 82 0.04% 39 0.02% 456 0.21%22 Unmarried mother 22 0.01% 37 0.02% 12 0.01% 156 0.07%25 Living together 751 0.34% 1484 0.68% 301 0.14% 4818 2.21%26 F 380 0.17% 724 0.33% 155 0.07% 2377 1.09%27 M 371 0.17% 760 0.35% 146 0.07% 2441 1.12%28 No Data 2817 1.29% 945 0.43% 430 0.20% 12244 5.62%29 F 1359 0.62% 478 0.22% 207 0.10% 5911 2.71%30 M 1458 0.67% 467 0.21% 223 0.10% 6333 2.91%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%


38 LIFE STATUS

Anjuthen-gu


thura

No Row Labels Value % Value % Value % Value % Value %1 Children<4 2041 0.94% 2939 1.35% 555 0.25% 683 0.31% 2252 1.03%2 F 986 0.45% 1411 0.65% 273 0.13% 314 0.14% 1094 0.50%3 M 1055 0.48% 1528 0.70% 282 0.13% 369 0.17% 1158 0.53%4 Student 3211 1.47% 5057 2.32% 1902 0.87% 2475 1.14% 6913 3.17%5 F 1579 0.72% 2509 1.15% 953 0.44% 1246 0.57% 3416 1.57%6 M 1632 0.75% 2548 1.17% 949 0.44% 1229 0.56% 3497 1.61%7 Dropped out student 255 0.12% 453 0.21% 65 0.03% 110 0.05% 619 0.28%8 F 126 0.06% 211 0.10% 34 0.02% 58 0.03% 304 0.14%9 M 129 0.06% 242 0.11% 31 0.01% 52 0.02% 315 0.14%

10 Job Aspirant 2288 1.05% 2823 1.30% 388 0.18% 458 0.21% 1251 0.57%11 F 609 0.28% 681 0.31% 153 0.07% 206 0.09% 464 0.21%12 M 1679 0.77% 2142 0.98% 235 0.11% 252 0.12% 787 0.36%13 Worker 6097 2.80% 6571 3.02% 1482 0.68% 2114 0.97% 9028 4.14%14 F 2209 1.01% 2664 1.22% 451 0.21% 651 0.30% 2403 1.10%15 M 3888 1.78% 3907 1.79% 1031 0.47% 1463 0.67% 6625 3.04%16 Unemployed 3300 1.51% 4640 2.13% 1833 0.84% 2237 1.03% 7559 3.47%17 F 2667 1.22% 3447 1.58% 1389 0.64% 1751 0.80% 5974 2.74%18 M 633 0.29% 1193 0.55% 444 0.20% 486 0.22% 1585 0.73%19 Employed 480 0.22% 1126 0.52% 1440 0.66% 1762 0.81% 1614 0.74%20 F 213 0.10% 391 0.18% 556 0.26% 711 0.33% 557 0.26%21 M 267 0.12% 735 0.34% 884 0.41% 1051 0.48% 1057 0.49%22 Social Worker 35 0.02% 92 0.04% 49 0.02% 41 0.02% 73 0.03%23 F 28 0.01% 50 0.02% 32 0.01% 20 0.01% 39 0.02%24 M 7 0.00% 42 0.02% 17 0.01% 21 0.01% 34 0.02%25 Pensioner 609 0.28% 640 0.29% 621 0.29% 765 0.35% 953 0.44%26 F 355 0.16% 351 0.16% 287 0.13% 321 0.15% 453 0.21%27 M 254 0.12% 289 0.13% 334 0.15% 444 0.20% 500 0.23%28 Semiarian /Aspirant 41 0.02% 68 0.03% 62 0.03% 25 0.01% 95 0.04%29 F 37 0.02% 51 0.02% 53 0.02% 14 0.01% 72 0.03%30 M 4 0.00% 17 0.01% 9 0.00% 11 0.01% 23 0.01%31 Priest /Nun 41 0.02% 132 0.06% 35 0.02% 29 0.01% 199 0.09%34 No Data 1389 0.64% 3650 1.68% 444 0.20% 1967 0.90% 1774 0.81%35 752 0.35% 1954 0.90% 256 0.12% 1006 0.46% 964 0.44%36 637 0.29% 1696 0.78% 188 0.09% 961 0.44% 810 0.37%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

Unmarried 175 0.25% 307 0.43% 168 0.24% 1732 2.43%F 83 0.12% 152 0.21% 76 0.11% 822 1.16%M 92 0.13% 155 0.22% 92 0.13% 910 1.28%Widowers 147 0.21% 256 0.36% 175 0.25% 1100 1.55%Widows 823 1.16% 1390 1.95% 985 1.38% 7591 10.67%Divorced 20 0.03% 44 0.06% 11 0.02% 244 0.34%F 7 0.01% 15 0.02% 0.00% 124 0.17%M 13 0.02% 29 0.04% 11 0.02% 120 0.17%Abandoned by husband

49 0.07% 69 0.10% 29 0.04% 511 0.72%

Abandoned by wife 30 0.04% 56 0.08% 31 0.04% 296 0.42%Unmarried mother 16 0.02% 25 0.04% 6 0.01% 89 0.13%Living together 188 0.26% 275 0.39% 136 0.19% 1268 1.78%F 84 0.12% 128 0.18% 60 0.08% 601 0.84%M 104 0.15% 147 0.21% 76 0.11% 667 0.94%No Data 324 0.46% 171 0.24% 49 0.07% 1777 2.50%F 157 0.22% 83 0.12% 21 0.03% 901 1.27%M 167 0.23% 88 0.12% 28 0.04% 876 1.23%

Grand Total 8091 11.37% 14537 20.43% 10629 14.94% 71158 100.00%


38 LIFE STATUS (Continuied)


No Row Labels Value % Value % Value %1 Children<4 2436 1.12% 4412 2.03% 2749 1.26% 18067 8.29%2 F 1165 0.53% 2129 0.98% 1345 0.62% 8717 4.00%3 M 1271 0.58% 2283 1.05% 1404 0.64% 9350 4.29%4 Student 6399 2.94% 11704 5.37% 10605 4.87% 48266 22.16%5 F 3230 1.48% 5704 2.62% 5188 2.38% 23825 10.94%6 M 3169 1.45% 6000 2.75% 5416 2.49% 24440 11.22%7 Dropped out student 800 0.37% 1722 0.79% 1228 0.56% 5252 2.41%8 F 406 0.19% 891 0.41% 669 0.31% 2699 1.24%9 M 394 0.18% 831 0.38% 559 0.26% 2553 1.17%

10 Job Aspirant 1606 0.74% 2137 0.98% 869 0.40% 11820 5.43%11 F 336 0.15% 529 0.24% 416 0.19% 3394 1.56%12 M 1270 0.58% 1608 0.74% 453 0.21% 8426 3.87%13 Worker 7734 3.55% 14504 6.66% 9237 4.24% 56767 26.06%14 F 2081 0.96% 3583 1.64% 592 0.27% 14634 6.72%15 M 5653 2.60% 10921 5.01% 8645 3.97% 42133 19.34%16 Unemployed 5035 2.31% 10278 4.72% 10458 4.80% 45340 20.82%17 F 4093 1.88% 8499 3.90% 8937 4.10% 36757 16.87%18 M 942 0.43% 1779 0.82% 1521 0.70% 8583 3.94%19 Employed 581 0.27% 1034 0.47% 2166 0.99% 10203 4.68%20 F 224 0.10% 382 0.18% 620 0.28% 3654 1.68%21 M 357 0.16% 652 0.30% 1546 0.71% 6549 3.01%22 Social Worker 112 0.05% 126 0.06% 113 0.05% 641 0.29%23 F 85 0.04% 60 0.03% 76 0.03% 390 0.18%24 M 27 0.01% 66 0.03% 37 0.02% 251 0.12%25 Pensioner 637 0.29% 1456 0.67% 245 0.11% 5926 2.72%26 F 335 0.15% 774 0.36% 123 0.06% 2999 1.38%27 M 302 0.14% 682 0.31% 122 0.06% 2927 1.34%28 Semiarian /Aspirant 202 0.09% 266 0.12% 58 0.03% 817 0.38%29 F 160 0.07% 176 0.08% 28 0.01% 591 0.27%30 M 42 0.02% 90 0.04% 30 0.01% 226 0.10%31 Priest /Nun 130 0.06% 143 0.07% 73 0.03% 782 0.36%34 No Data 2519 1.16% 1204 0.55% 991 0.45% 13938 6.40%35 1334 0.61% 626 0.29% 529 0.24% 7421 3.41%36 1185 0.54% 578 0.27% 462 0.21% 6517 2.99%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

39 EDUCATIONAL QUALIFICATIONS

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Illiterate 1745 0.80% 1435 0.66% 141 0.06% 172 0.08% 1904 0.87%2 F 876 0.40% 721 0.33% 89 0.04% 105 0.05% 1060 0.49%3 M 869 0.40% 714 0.33% 52 0.02% 67 0.03% 844 0.39%4 Not Studying 1088 0.50% 1414 0.65% 275 0.13% 335 0.15% 1538 0.71%5 F 544 0.25% 673 0.31% 148 0.07% 166 0.08% 778 0.36%6 M 544 0.25% 741 0.34% 127 0.06% 169 0.08% 760 0.35%7 Mere Literate 692 0.32% 925 0.42% 189 0.09% 152 0.07% 903 0.41%8 F 349 0.16% 444 0.20% 114 0.05% 81 0.04% 473 0.22%9 M 343 0.16% 481 0.22% 75 0.03% 71 0.03% 430 0.20%

10 KG 1187 0.54% 1643 0.75% 281 0.13% 321 0.15% 1337 0.61%11 F 590 0.27% 808 0.37% 141 0.06% 165 0.08% 651 0.30%12 M 597 0.27% 835 0.38% 140 0.06% 156 0.07% 686 0.31%13 LP 2790 1.28% 3121 1.43% 580 0.27% 843 0.39% 3532 1.62%14 F 1383 0.63% 1553 0.71% 296 0.14% 446 0.20% 1721 0.79%15 M 1407 0.65% 1568 0.72% 284 0.13% 397 0.18% 1811 0.83%16 UP 3515 1.61% 4305 1.98% 869 0.40% 1160 0.53% 4239 1.95%17 F 1664 0.76% 2114 0.97% 442 0.20% 546 0.25% 2089 0.96%18 M 1851 0.85% 2191 1.01% 427 0.20% 614 0.28% 2150 0.99%19 HS 4505 2.07% 5746 2.64% 1839 0.84% 2766 1.27% 8796 4.04%


39 EDUCATIONAL QUALIFICATIONS

Kovalam Pulluvila Thoothur Total value Total %

No Row Labels value % value % value %1 Illiterate 3808 1.75% 6399 2.94% 4845 2.22% 20449 9.39%2 F 1744 0.80% 3088 1.42% 2168 1.00% 9851 4.52%3 M 2064 0.95% 3311 1.52% 2677 1.23% 10598 4.87%4 Not Studying 2264 1.04% 3228 1.48% 1824 0.84% 11966 5.49%5 F 1091 0.50% 1577 0.72% 891 0.41% 5868 2.69%6 M 1173 0.54% 1651 0.76% 933 0.43% 6098 2.80%7 Mere Literate 952 0.44% 2559 1.17% 5334 2.45% 11706 5.37%8 F 465 0.21% 1296 0.59% 2480 1.14% 5702 2.62%9 M 487 0.22% 1263 0.58% 2854 1.31% 6004 2.76%

10 KG 1423 0.65% 2638 1.21% 2199 1.01% 11029 5.06%11 F 694 0.32% 1308 0.60% 1016 0.47% 5373 2.47%12 M 729 0.33% 1330 0.61% 1183 0.54% 5656 2.60%13 LP 3398 1.56% 7077 3.25% 4653 2.14% 25994 11.93%14 F 1622 0.74% 3386 1.55% 1999 0.92% 12406 5.70%15 M 1776 0.82% 3691 1.69% 2654 1.22% 13588 6.24%16 UP 4045 1.86% 6994 3.21% 4826 2.22% 29953 13.75%17 F 1925 0.88% 3414 1.57% 2207 1.01% 14401 6.61%18 M 2120 0.97% 3580 1.64% 2619 1.20% 15552 7.14%19 HS 5634 2.59% 10293 4.73% 5590 2.57% 45169 20.74%20 F 2695 1.24% 4800 2.20% 2934 1.35% 21424 9.84%

39 EDUCATIONAL QUALIFICATIONS (Continuied)

Anjuthengu Puthukurichi Pettah Palayam Valiyathura

No Row Labels value % value % value % value % value %20 F 2015 0.93% 2710 1.24% 920 0.42% 1340 0.62% 4010 1.84%21 M 2490 1.14% 3036 1.39% 919 0.42% 1426 0.65% 4786 2.20%22 HSS 1689 0.78% 3049 1.40% 1293 0.59% 1700 0.78% 3698 1.70%23 F 855 0.39% 1513 0.69% 659 0.30% 896 0.41% 1822 0.84%24 M 834 0.38% 1536 0.71% 634 0.29% 804 0.37% 1876 0.86%25 Degree 742 0.34% 1715 0.79% 1235 0.57% 1645 0.76% 2465 1.13%26 F 439 0.20% 905 0.42% 647 0.30% 858 0.39% 1413 0.65%27 M 303 0.14% 810 0.37% 588 0.27% 787 0.36% 1052 0.48%28 PG 168 0.08% 435 0.20% 483 0.22% 702 0.32% 534 0.25%29 F 93 0.04% 241 0.11% 261 0.12% 412 0.19% 323 0.15%30 M 75 0.03% 194 0.09% 222 0.10% 290 0.13% 211 0.10%31 M.Phil /PhD 99 0.05% 247 0.11% 133 0.06% 143 0.07% 113 0.05%32 F 56 0.03% 138 0.06% 66 0.03% 70 0.03% 64 0.03%33 M 43 0.02% 109 0.05% 67 0.03% 73 0.03% 49 0.02%34 Professional 225 0.10% 597 0.27% 608 0.28% 776 0.36% 990 0.45%35 F 120 0.06% 305 0.14% 274 0.13% 357 0.16% 526 0.24%36 M 105 0.05% 292 0.13% 334 0.15% 419 0.19% 464 0.21%37 Technical 130 0.06% 227 0.10% 218 0.10% 277 0.13% 479 0.22%38 F 26 0.01% 56 0.03% 52 0.02% 71 0.03% 63 0.03%39 M 104 0.05% 171 0.08% 166 0.08% 206 0.09% 416 0.19%40 Certificate 38 0.02% 113 0.05% 69 0.03% 84 0.04% 110 0.05%41 F 15 0.01% 29 0.01% 30 0.01% 47 0.02% 69 0.03%42 M 23 0.01% 84 0.04% 39 0.02% 37 0.02% 41 0.02%43 Diploma 69 0.03% 175 0.08% 166 0.08% 232 0.11% 276 0.13%44 F 21 0.01% 44 0.02% 56 0.03% 83 0.04% 71 0.03%45 M 48 0.02% 131 0.06% 110 0.05% 149 0.07% 205 0.09%46 PG Diploma 64 0.03% 79 0.04% 38 0.02% 36 0.02% 94 0.04%47 F 33 0.02% 42 0.02% 19 0.01% 15 0.01% 45 0.02%48 M 31 0.01% 37 0.02% 19 0.01% 21 0.01% 49 0.02%49 Other 67 0.03% 232 0.11% 86 0.04% 170 0.08% 132 0.06%50 F 34 0.02% 121 0.06% 51 0.02% 90 0.04% 66 0.03%51 M 33 0.02% 111 0.05% 35 0.02% 80 0.04% 66 0.03%52 No Data 974 0.45% 2733 1.25% 373 0.17% 1152 0.53% 1191 0.55%53 F 472 0.22% 1390 0.64% 191 0.09% 570 0.26% 604 0.28%54 M 502 0.23% 1343 0.62% 182 0.08% 582 0.27% 587 0.27%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%


39 EDUCATIONAL QUALIFICATIONS (Continuied)


No Row Labels value % value % value %21 M 2939 1.35% 5493 2.52% 2656 1.22% 23745 10.90%22 HSS 2535 1.16% 4388 2.01% 3114 1.43% 21466 9.85%23 F 1251 0.57% 2016 0.93% 1789 0.82% 10801 4.96%24 M 1284 0.59% 2372 1.09% 1325 0.61% 10665 4.90%25 Degree 1223 0.56% 2295 1.05% 2313 1.06% 13633 6.26%26 F 633 0.29% 1099 0.50% 1299 0.60% 7293 3.35%27 M 590 0.27% 1196 0.55% 1014 0.47% 6340 2.91%28 PG 323 0.15% 477 0.22% 818 0.38% 3940 1.81%29 F 165 0.08% 220 0.10% 461 0.21% 2176 1.00%30 M 158 0.07% 257 0.12% 357 0.16% 1764 0.81%31 M.Phil /PhD 90 0.04% 199 0.09% 258 0.12% 1282 0.59%32 F 55 0.03% 97 0.04% 132 0.06% 678 0.31%33 M 35 0.02% 102 0.05% 126 0.06% 604 0.28%34 Professional 358 0.16% 738 0.34% 740 0.34% 5032 2.31%35 F 202 0.09% 409 0.19% 328 0.15% 2521 1.16%36 M 156 0.07% 329 0.15% 412 0.19% 2511 1.15%37 Technical 150 0.07% 269 0.12% 347 0.16% 2097 0.96%38 F 31 0.01% 57 0.03% 72 0.03% 428 0.20%39 M 119 0.05% 212 0.10% 275 0.13% 1669 0.77%40 Certificate 62 0.03% 97 0.04% 62 0.03% 635 0.29%41 F 33 0.02% 41 0.02% 28 0.01% 292 0.13%42 M 29 0.01% 56 0.03% 34 0.02% 343 0.16%43 Diploma 146 0.07% 213 0.10% 398 0.18% 1675 0.77%44 F 59 0.03% 70 0.03% 112 0.05% 516 0.24%45 M 87 0.04% 143 0.07% 286 0.13% 1159 0.53%46 PG Diploma 45 0.02% 103 0.05% 54 0.02% 513 0.24%47 F 19 0.01% 41 0.02% 15 0.01% 229 0.11%48 M 26 0.01% 62 0.03% 39 0.02% 284 0.13%49 Other 157 0.07% 233 0.11% 600 0.28% 1677 0.77%50 F 96 0.04% 105 0.05% 263 0.12% 826 0.38%51 M 61 0.03% 128 0.06% 337 0.15% 851 0.39%52 No Data 1580 0.73% 786 0.36% 816 0.37% 9605 4.41%53 F 756 0.35% 393 0.18% 373 0.17% 4749 2.18%54 M 824 0.38% 393 0.18% 443 0.20% 4856 2.23%

Grand Total 28193 12.94% 48986 22.49% 38791 17.81% 217821 100.00%

39A SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 5-15 YEARS


No Row Labels value % value % value % value % value %1 Illiterate 41 0.10% 33 0.08% 5 0.01% 12 0.03% 22 0.06%2 F 20 0.05% 13 0.03% 2 0.01% 8 0.02% 11 0.03%3 M 21 0.05% 20 0.05% 3 0.01% 4 0.01% 11 0.03%4 Not Studying 60 0.15% 61 0.15% 10 0.03% 15 0.04% 56 0.14%5 F 28 0.07% 24 0.06% 6 0.02% 5 0.01% 28 0.07%6 M 32 0.08% 37 0.09% 4 0.01% 10 0.03% 28 0.07%7 Mere Literate 98 0.25% 158 0.40% 12 0.03% 28 0.07% 56 0.14%8 F 44 0.11% 65 0.16% 10 0.03% 11 0.03% 26 0.07%9 M 54 0.14% 93 0.23% 2 0.01% 17 0.04% 30 0.08%

10 KG 481 1.21% 752 1.89% 146 0.37% 171 0.43% 618 1.56%11 F 234 0.59% 386 0.97% 70 0.18% 87 0.22% 300 0.76%12 M 247 0.62% 366 0.92% 76 0.19% 84 0.21% 318 0.80%13 LP 1064 2.68% 1419 3.57% 364 0.92% 508 1.28% 1727 4.35%14 F 504 1.27% 670 1.69% 171 0.43% 256 0.64% 805 2.03%15 M 560 1.41% 749 1.89% 193 0.49% 252 0.63% 922 2.32%16 UP 934 2.35% 1172 2.95% 329 0.83% 428 1.08% 1382 3.48%17 F 454 1.14% 578 1.46% 159 0.40% 206 0.52% 657 1.65%18 M 480 1.21% 594 1.50% 170 0.43% 222 0.56% 725 1.83%19 HS 640 1.61% 716 1.80% 247 0.62% 385 0.97% 1157 2.91%20 F 311 0.78% 360 0.91% 120 0.30% 188 0.47% 575 1.45%21 M 329 0.83% 356 0.90% 127 0.32% 197 0.50% 582 1.47%


39A SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 5-15 YEARS (Continuied)


No Row Labels value % value % value % value % value %22 HSS 99 0.25% 112 0.28% 27 0.07% 70 0.18% 111 0.28%23 F 55 0.14% 63 0.16% 14 0.04% 35 0.09% 67 0.17%24 M 44 0.11% 49 0.12% 13 0.03% 35 0.09% 44 0.11%25 Degree 9 0.02% 19 0.05% 2 0.01% 4 0.01% 14 0.04%26 F 3 0.01% 9 0.02% 1 0.00% 2 0.01% 6 0.02%27 M 6 0.02% 10 0.03% 1 0.00% 2 0.01% 8 0.02%28 PG 8 0.02% 4 0.01% 2 0.01% 2 0.01% 3 0.01%29 F 4 0.01% 2 0.01% 1 0.00% 2 0.01% 2 0.01%30 M 4 0.01% 2 0.01% 1 0.00% 0.00% 1 0.00%31 M.Phil /PhD 0.00% 2 0.01% 0.00% 0.00% 1 0.00%32 F 0.00% 2 0.01% 0.00% 0.00% 1 0.00%33 M 0.00% 0.00% 0.00% 0.00% 0.00%34 Professional 0.00% 5 0.01% 1 0.00% 4 0.01% 3 0.01%35 F 0.00% 3 0.01% 0.00% 1 0.00% 2 0.01%36 M 0.00% 2 0.01% 1 0.00% 3 0.01% 1 0.00%37 Technical 3 0.01% 1 0.00% 0.00% 0.00% 4 0.01%38 F 2 0.01% 1 0.00% 0.00% 0.00% 2 0.01%39 M 1 0.00% 0.00% 0.00% 0.00% 2 0.01%40 Certificate 0.00% 1 0.00% 3 0.01% 0.00% 0.00%41 F 0.00% 0.00% 2 0.01% 0.00% 0.00%42 M 0.00% 1 0.00% 1 0.00% 0.00% 0.00%43 Diploma 0.00% 0.00% 1 0.00% 1 0.00% 2 0.01%44 F 0.00% 0.00% 0.00% 1 0.00% 1 0.00%45 M 0.00% 0.00% 1 0.00% 0.00% 1 0.00%46 PG Diploma 2 0.01% 6 0.02% 1 0.00% 2 0.01% 1 0.00%47 F 0.00% 4 0.01% 0.00% 1 0.00% 0.00%48 M 2 0.01% 2 0.01% 1 0.00% 1 0.00% 1 0.00%49 Other 3 0.01% 18 0.05% 5 0.01% 7 0.02% 8 0.02%50 F 1 0.00% 9 0.02% 2 0.01% 2 0.01% 3 0.01%51 M 2 0.01% 9 0.02% 3 0.01% 5 0.01% 5 0.01%52 No Data 124 0.31% 362 0.91% 65 0.16% 183 0.46% 135 0.34%53 F 55 0.14% 186 0.47% 29 0.07% 88 0.22% 74 0.19%54 M 69 0.17% 176 0.44% 36 0.09% 95 0.24% 61 0.15%

Grand Total 3566 8.98% 4841 12.19% 1220 3.07% 1820 4.58% 5300 13.34%




10 KG 664 1.67% 1068 2.69% 907 2.28% 4807 12.10%11 F 329 0.83% 537 1.35% 413 1.04% 2356 5.93%12 M 335 0.84% 531 1.34% 494 1.24% 2451 6.17%13 LP 1688 4.25% 3250 8.18% 2375 5.98% 12395 31.20%14 F 830 2.09% 1539 3.87% 1157 2.91% 5932 14.93%15 M 858 2.16% 1711 4.31% 1218 3.07% 6463 16.27%16 UP 1521 3.83% 2605 6.56% 1991 5.01% 10362 26.08%17 F 741 1.87% 1258 3.17% 950 2.39% 5003 12.59%18 M 780 1.96% 1347 3.39% 1041 2.62% 5359 13.49%19 HS 1110 2.79% 1865 4.69% 1723 4.34% 7843 19.74%20 F 573 1.44% 934 2.35% 860 2.16% 3921 9.87%21 M 537 1.35% 931 2.34% 863 2.17% 3922 9.87%22 HSS 131 0.33% 222 0.56% 278 0.70% 1050 2.64%




No Row Labels value % value % value %23 F 85 0.21% 123 0.31% 153 0.39% 595 1.50%24 M 46 0.12% 99 0.25% 125 0.31% 455 1.15%25 Degree 16 0.04% 13 0.03% 21 0.05% 98 0.25%26 F 5 0.01% 4 0.01% 13 0.03% 43 0.11%27 M 11 0.03% 9 0.02% 8 0.02% 55 0.14%28 PG 3 0.01% 3 0.01% 8 0.02% 33 0.08%29 F 3 0.01% 1 0.00% 5 0.01% 20 0.05%30 M 0.00% 2 0.01% 3 0.01% 13 0.03%31 M.Phil /PhD 0.00% 0.00% 1 0.00% 4 0.01%32 F 0.00% 0.00% 0.00% 3 0.01%33 M 0.00% 0.00% 1 0.00% 1 0.00%34 Professional 0.00% 4 0.01% 4 0.01% 21 0.05%35 F 0.00% 2 0.01% 4 0.01% 12 0.03%36 M 0.00% 2 0.01% 0.00% 9 0.02%37 Technical 2 0.01% 0.00% 1 0.00% 11 0.03%38 F 0.00% 0.00% 0.00% 5 0.01%39 M 2 0.01% 0.00% 1 0.00% 6 0.02%40 Certificate 0.00% 0.00% 0.00% 4 0.01%41 F 0.00% 0.00% 0.00% 2 0.01%42 M 0.00% 0.00% 0.00% 2 0.01%43 Diploma 2 0.01% 3 0.01% 3 0.01% 12 0.03%44 F 0.00% 0.00% 1 0.00% 3 0.01%45 M 2 0.01% 3 0.01% 2 0.01% 9 0.02%46 PG Diploma 0.00% 1 0.00% 0.00% 13 0.03%47 F 0.00% 0.00% 0.00% 5 0.01%48 M 0.00% 1 0.00% 0.00% 8 0.02%49 Other 9 0.02% 13 0.03% 73 0.18% 136 0.34%50 F 4 0.01% 4 0.01% 32 0.08% 57 0.14%51 M 5 0.01% 9 0.02% 41 0.10% 79 0.20%52 No Data 156 0.39% 95 0.24% 127 0.32% 1247 3.14%53 F 85 0.21% 46 0.12% 63 0.16% 626 1.58%54 M 71 0.18% 49 0.12% 64 0.16% 621 1.56%

Grand Total 5516 13.89% 9468 23.83% 7994 20.12% 39725 100.00%

39B SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 16-25 YEARS


No Row Labels value % value % value % value % value %1 Illiterate 53 0.14% 46 0.12% 1 0.00% 8 0.02% 31 0.08%2 F 19 0.05% 21 0.06% 0.00% 4 0.01% 14 0.04%3 M 34 0.09% 25 0.07% 1 0.00% 4 0.01% 17 0.05%4 Not Studying 96 0.26% 68 0.18% 10 0.03% 10 0.03% 67 0.18%5 F 51 0.14% 31 0.08% 7 0.02% 4 0.01% 26 0.07%6 M 45 0.12% 37 0.10% 3 0.01% 6 0.02% 41 0.11%7 Mere Literate 17 0.05% 38 0.10% 6 0.02% 1 0.00% 20 0.05%8 F 8 0.02% 21 0.06% 3 0.01% 0.00% 8 0.02%9 M 9 0.02% 17 0.05% 3 0.01% 1 0.00% 12 0.03%

10 KG 30 0.08% 30 0.08% 0.00% 2 0.01% 11 0.03%11 F 12 0.03% 13 0.04% 0.00% 1 0.00% 8 0.02%12 M 18 0.05% 17 0.05% 0.00% 1 0.00% 3 0.01%13 LP 124 0.34% 93 0.25% 4 0.01% 6 0.02% 45 0.12%14 F 43 0.12% 47 0.13% 2 0.01% 2 0.01% 11 0.03%15 M 81 0.22% 46 0.12% 2 0.01% 4 0.01% 34 0.09%16 UP 391 1.06% 455 1.24% 29 0.08% 52 0.14% 210 0.57%17 F 164 0.45% 213 0.58% 12 0.03% 15 0.04% 84 0.23%18 M 227 0.62% 242 0.66% 17 0.05% 37 0.10% 126 0.34%19 HS 891 2.42% 945 2.57% 161 0.44% 299 0.81% 1107 3.01%20 F 425 1.15% 434 1.18% 78 0.21% 136 0.37% 476 1.29%21 M 466 1.27% 511 1.39% 83 0.23% 163 0.44% 631 1.71%22 HSS 827 2.25% 1058 2.87% 460 1.25% 606 1.65% 1517 4.12%23 F 435 1.18% 532 1.44% 226 0.61% 322 0.87% 756 2.05%


39B SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 16-25 YEARS (Continuied)



10 KG 23 0.06% 37 0.10% 24 0.07% 157 0.43%11 F 6 0.02% 15 0.04% 5 0.01% 60 0.16%12 M 17 0.05% 22 0.06% 19 0.05% 97 0.26%13 LP 160 0.43% 295 0.80% 207 0.56% 934 2.54%14 F 54 0.15% 130 0.35% 43 0.12% 332 0.90%15 M 106 0.29% 165 0.45% 164 0.45% 602 1.63%16 UP 495 1.34% 820 2.23% 596 1.62% 3048 8.28%17 F 195 0.53% 368 1.00% 196 0.53% 1247 3.39%18 M 300 0.81% 452 1.23% 400 1.09% 1801 4.89%19 HS 1448 3.93% 2532 6.88% 1306 3.55% 8689 23.59%20 F 673 1.83% 1200 3.26% 632 1.72% 4054 11.01%21 M 775 2.10% 1332 3.62% 674 1.83% 4635 12.59%22 HSS 1380 3.75% 2280 6.19% 1577 4.28% 9705 26.35%23 F 676 1.84% 1115 3.03% 916 2.49% 4978 13.52%24 M 704 1.91% 1165 3.16% 661 1.79% 4727 12.84%



No Row Labels value % value % value % value % value %24 M 392 1.06% 526 1.43% 234 0.64% 284 0.77% 761 2.07%25 Degree 303 0.82% 561 1.52% 259 0.70% 363 0.99% 850 2.31%26 F 205 0.56% 326 0.89% 144 0.39% 196 0.53% 555 1.51%27 M 98 0.27% 235 0.64% 115 0.31% 167 0.45% 295 0.80%28 PG 45 0.12% 108 0.29% 44 0.12% 79 0.21% 118 0.32%29 F 29 0.08% 66 0.18% 31 0.08% 54 0.15% 77 0.21%30 M 16 0.04% 42 0.11% 13 0.04% 25 0.07% 41 0.11%31 M.Phil /PhD 53 0.14% 101 0.27% 20 0.05% 37 0.10% 34 0.09%32 F 29 0.08% 67 0.18% 12 0.03% 20 0.05% 22 0.06%33 M 24 0.07% 34 0.09% 8 0.02% 17 0.05% 12 0.03%34 Professional 124 0.34% 264 0.72% 208 0.56% 225 0.61% 437 1.19%35 F 77 0.21% 158 0.43% 107 0.29% 115 0.31% 247 0.67%36 M 47 0.13% 106 0.29% 101 0.27% 110 0.30% 190 0.52%37 Technical 54 0.15% 95 0.26% 55 0.15% 46 0.12% 119 0.32%38 F 15 0.04% 31 0.08% 18 0.05% 14 0.04% 31 0.08%39 M 39 0.11% 64 0.17% 37 0.10% 32 0.09% 88 0.24%40 Certificate 12 0.03% 29 0.08% 12 0.03% 14 0.04% 40 0.11%41 F 4 0.01% 11 0.03% 3 0.01% 11 0.03% 25 0.07%42 M 8 0.02% 18 0.05% 9 0.02% 3 0.01% 15 0.04%43 Diploma 30 0.08% 59 0.16% 33 0.09% 41 0.11% 95 0.26%44 F 8 0.02% 20 0.05% 12 0.03% 16 0.04% 36 0.10%45 M 22 0.06% 39 0.11% 21 0.06% 25 0.07% 59 0.16%46 PG Diploma 10 0.03% 13 0.04% 3 0.01% 3 0.01% 21 0.06%47 F 9 0.02% 8 0.02% 2 0.01% 1 0.00% 8 0.02%48 M 1 0.00% 5 0.01% 1 0.00% 2 0.01% 13 0.04%49 Other 30 0.08% 44 0.12% 22 0.06% 33 0.09% 40 0.11%50 F 15 0.04% 28 0.08% 13 0.04% 20 0.05% 23 0.06%51 M 15 0.04% 16 0.04% 9 0.02% 13 0.04% 17 0.05%52 No Data 80 0.22% 289 0.78% 45 0.12% 137 0.37% 80 0.22%53 F 39 0.11% 146 0.40% 23 0.06% 71 0.19% 40 0.11%54 M 41 0.11% 143 0.39% 22 0.06% 66 0.18% 40 0.11%

Grand Total 3170 8.61% 4296 11.67% 1372 3.73% 1962 5.33% 4842 13.15%




No Row Labels value % value % value %25 Degree 561 1.52% 1187 3.22% 1312 3.56% 5396 14.65%26 F 335 0.91% 644 1.75% 806 2.19% 3211 8.72%27 M 226 0.61% 543 1.47% 506 1.37% 2185 5.93%28 PG 74 0.20% 150 0.41% 330 0.90% 948 2.57%29 F 38 0.10% 88 0.24% 213 0.58% 596 1.62%30 M 36 0.10% 62 0.17% 117 0.32% 352 0.96%31 M.Phil /PhD 43 0.12% 72 0.20% 53 0.14% 413 1.12%32 F 31 0.08% 35 0.10% 35 0.10% 251 0.68%33 M 12 0.03% 37 0.10% 18 0.05% 162 0.44%34 Professional 197 0.53% 370 1.00% 317 0.86% 2142 5.82%35 F 123 0.33% 214 0.58% 167 0.45% 1208 3.28%36 M 74 0.20% 156 0.42% 150 0.41% 934 2.54%37 Technical 57 0.15% 105 0.29% 163 0.44% 694 1.88%38 F 14 0.04% 28 0.08% 47 0.13% 198 0.54%39 M 43 0.12% 77 0.21% 116 0.31% 496 1.35%40 Certificate 25 0.07% 37 0.10% 20 0.05% 189 0.51%41 F 14 0.04% 19 0.05% 9 0.02% 96 0.26%42 M 11 0.03% 18 0.05% 11 0.03% 93 0.25%43 Diploma 71 0.19% 94 0.26% 156 0.42% 579 1.57%44 F 38 0.10% 41 0.11% 48 0.13% 219 0.59%45 M 33 0.09% 53 0.14% 108 0.29% 360 0.98%46 PG Diploma 18 0.05% 24 0.07% 22 0.06% 114 0.31%47 F 7 0.02% 13 0.04% 7 0.02% 55 0.15%48 M 11 0.03% 11 0.03% 15 0.04% 59 0.16%49 Other 48 0.13% 81 0.22% 150 0.41% 448 1.22%50 F 32 0.09% 34 0.09% 63 0.17% 228 0.62%51 M 16 0.04% 47 0.13% 87 0.24% 220 0.60%52 No Data 133 0.36% 75 0.20% 102 0.28% 941 2.56%53 F 68 0.18% 38 0.10% 49 0.13% 474 1.29%54 M 65 0.18% 37 0.10% 53 0.14% 467 1.27%

Grand Total 5131 13.93% 8765 23.80% 7289 19.79% 36827 100.00%

39C SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 26-35 YEARS


No value % value % value % value % value %1 Illiterate 128 0.32% 168 0.42% 5 0.01% 149 0.38% 727 1.83%2 F 52 0.13% 80 0.20% 3 0.01% 69 0.17% 313 0.79%3 M 76 0.19% 88 0.22% 2 0.01% 80 0.20% 414 1.04%4 Not Studying 123 0.31% 107 0.27% 10 0.03% 75 0.19% 330 0.83%5 F 47 0.12% 41 0.10% 2 0.01% 39 0.10% 154 0.39%6 M 76 0.19% 66 0.17% 8 0.02% 36 0.09% 176 0.44%7 Mere Literate 80 0.20% 101 0.25% 7 0.02% 86 0.22% 547 1.38%8 F 37 0.09% 40 0.10% 5 0.01% 48 0.12% 256 0.65%9 M 43 0.11% 61 0.15% 2 0.01% 38 0.10% 291 0.73%

10 KG 97 0.24% 111 0.28% 1 0.00% 26 0.07% 118 0.30%11 F 39 0.10% 41 0.10% 1 0.00% 8 0.02% 57 0.14%12 M 58 0.15% 70 0.18% 0.00% 18 0.05% 61 0.15%13 LP 312 0.79% 257 0.65% 9 0.02% 187 0.47% 900 2.27%14 F 144 0.36% 107 0.27% 5 0.01% 72 0.18% 416 1.05%15 M 168 0.42% 150 0.38% 4 0.01% 115 0.29% 484 1.22%16 UP 738 1.86% 770 1.94% 54 0.14% 549 1.39% 1435 3.62%17 F 363 0.92% 353 0.89% 32 0.08% 274 0.69% 701 1.77%18 M 375 0.95% 417 1.05% 22 0.06% 275 0.69% 734 1.85%19 HS 1161 2.93% 1232 3.11% 223 0.56% 1890 4.77% 2969 7.49%20 F 489 1.23% 587 1.48% 108 0.27% 891 2.25% 1411 3.56%21 M 672 1.70% 645 1.63% 115 0.29% 999 2.52% 1558 3.93%22 HSS 353 0.89% 705 1.78% 218 0.55% 823 2.08% 1002 2.53%23 F 179 0.45% 361 0.91% 120 0.30% 390 0.98% 430 1.09%24 M 174 0.44% 344 0.87% 98 0.25% 433 1.09% 572 1.44%25 Degree 214 0.54% 540 1.36% 286 0.72% 769 1.94% 647 1.63%


39C SEX-WISE DISTRIBUTION OF EDUCATIONAL QUALIFICATIONS IN THE AGE GROUP OF 26-35 YEARS (Continuied)


No value % value % value %1 Illiterate 497 1.25% 553 1.40% 8 0.02% 2235 5.64%2 F 179 0.45% 213 0.54% 3 0.01% 912 2.30%3 M 318 0.80% 340 0.86% 5 0.01% 1323 3.34%4 Not Studying 76 0.19% 343 0.87% 7 0.02% 1071 2.70%5 F 34 0.09% 157 0.40% 3 0.01% 477 1.20%6 M 42 0.11% 186 0.47% 4 0.01% 594 1.50%7 Mere Literate 1439 3.63% 158 0.40% 6 0.02% 2424 6.12%8 F 639 1.61% 83 0.21% 4 0.01% 1112 2.81%9 M 800 2.02% 75 0.19% 2 0.01% 1312 3.31%

10 KG 45 0.11% 50 0.13% 6 0.02% 454 1.15%11 F 10 0.03% 18 0.05% 4 0.01% 178 0.45%12 M 35 0.09% 32 0.08% 2 0.01% 276 0.70%13 LP 567 1.43% 394 0.99% 16 0.04% 2642 6.67%14 F 161 0.41% 171 0.43% 8 0.02% 1084 2.74%15 M 406 1.02% 223 0.56% 8 0.02% 1558 3.93%16 UP 1023 2.58% 821 2.07% 85 0.21% 5475 13.82%17 F 425 1.07% 404 1.02% 39 0.10% 2591 6.54%18 M 598 1.51% 417 1.05% 46 0.12% 2884 7.28%19 HS 1303 3.29% 1433 3.62% 353 0.89% 10564 26.66%20 F 760 1.92% 700 1.77% 160 0.40% 5106 12.88%21 M 543 1.37% 733 1.85% 193 0.49% 5458 13.77%22 HSS 688 1.74% 556 1.40% 236 0.60% 4581 11.56%23 F 429 1.08% 282 0.71% 119 0.30% 2310 5.83%24 M 259 0.65% 274 0.69% 117 0.30% 2271 5.73%25 Degree 550 1.39% 366 0.92% 381 0.96% 3753 9.47%26 F 311 0.78% 184 0.46% 209 0.53% 2053 5.18%



No value % value % value % value % value %26 F 124 0.31% 317 0.80% 162 0.41% 449 1.13% 297 0.75%27 M 90 0.23% 223 0.56% 124 0.31% 320 0.81% 350 0.88%28 PG 66 0.17% 169 0.43% 146 0.37% 232 0.59% 205 0.52%29 F 33 0.08% 106 0.27% 78 0.20% 152 0.38% 97 0.24%30 M 33 0.08% 63 0.16% 68 0.17% 80 0.20% 108 0.27%31 M.Phil /PhD 26 0.07% 88 0.22% 35 0.09% 40 0.10% 89 0.22%32 F 16 0.04% 44 0.11% 17 0.04% 21 0.05% 46 0.12%33 M 10 0.03% 44 0.11% 18 0.05% 19 0.05% 43 0.11%34 Professional 64 0.16% 186 0.47% 176 0.44% 312 0.79% 238 0.60%35 F 31 0.08% 92 0.23% 75 0.19% 165 0.42% 134 0.34%36 M 33 0.08% 94 0.24% 101 0.25% 147 0.37% 104 0.26%37 Technical 30 0.08% 67 0.17% 43 0.11% 132 0.33% 68 0.17%38 F 3 0.01% 11 0.03% 12 0.03% 14 0.04% 10 0.03%39 M 27 0.07% 56 0.14% 31 0.08% 118 0.30% 58 0.15%40 Certificate 12 0.03% 29 0.07% 5 0.01% 35 0.09% 28 0.07%41 F 4 0.01% 10 0.03% 0.00% 19 0.05% 10 0.03%42 M 8 0.02% 19 0.05% 5 0.01% 16 0.04% 18 0.05%43 Diploma 20 0.05% 56 0.14% 38 0.10% 87 0.22% 66 0.17%44 F 6 0.02% 14 0.04% 12 0.03% 23 0.06% 16 0.04%45 M 14 0.04% 42 0.11% 26 0.07% 64 0.16% 50 0.13%46 PG Diploma 23 0.06% 15 0.04% 12 0.03% 29 0.07% 37 0.09%47 F 10 0.03% 7 0.02% 7 0.02% 16 0.04% 16 0.04%48 M 13 0.03% 8 0.02% 5 0.01% 13 0.03% 21 0.05%49 Other 8 0.02% 47 0.12% 8 0.02% 26 0.07% 55 0.14%50 F 2 0.01% 19 0.05% 4 0.01% 13 0.03% 22 0.06%51 M 6 0.02% 28 0.07% 4 0.01% 13 0.03% 33 0.08%52 No Data 100 0.25% 347 0.88% 32 0.08% 113 0.29% 94 0.24%53 F 48 0.12% 184 0.46% 20 0.05% 62 0.16% 46 0.12%54 M 52 0.13% 163 0.41% 12 0.03% 51 0.13% 48 0.12%

Grand Total 3555 8.97% 4995 12.60% 1308 3.30% 5560 14.03% 9555 24.11%




No value % value % value %27 M 239 0.60% 182 0.46% 172 0.43% 1700 4.29%28 PG 305 0.77% 136 0.34% 224 0.57% 1483 3.74%29 F 164 0.41% 77 0.19% 140 0.35% 847 2.14%30 M 141 0.36% 59 0.15% 84 0.21% 636 1.60%31 M.Phil /PhD 103 0.26% 32 0.08% 41 0.10% 454 1.15%32 F 59 0.15% 18 0.05% 21 0.05% 242 0.61%33 M 44 0.11% 14 0.04% 20 0.05% 212 0.53%34 Professional 282 0.71% 85 0.21% 242 0.61% 1585 4.00%35 F 107 0.27% 43 0.11% 118 0.30% 765 1.93%36 M 175 0.44% 42 0.11% 124 0.31% 820 2.07%37 Technical 110 0.28% 29 0.07% 79 0.20% 558 1.41%38 F 16 0.04% 5 0.01% 17 0.04% 88 0.22%39 M 94 0.24% 24 0.06% 62 0.16% 470 1.19%40 Certificate 15 0.04% 16 0.04% 13 0.03% 153 0.39%41 F 7 0.02% 7 0.02% 7 0.02% 64 0.16%42 M 8 0.02% 9 0.02% 6 0.02% 89 0.22%43 Diploma 148 0.37% 37 0.09% 61 0.15% 513 1.29%44 F 40 0.10% 10 0.03% 23 0.06% 144 0.36%45 M 108 0.27% 27 0.07% 38 0.10% 369 0.93%46 PG Diploma 26 0.07% 15 0.04% 9 0.02% 166 0.42%47 F 7 0.02% 5 0.01% 5 0.01% 73 0.18%48 M 19 0.05% 10 0.03% 4 0.01% 93 0.23%49 Other 156 0.39% 25 0.06% 32 0.08% 357 0.90%50 F 63 0.16% 17 0.04% 18 0.05% 158 0.40%51 M 93 0.23% 8 0.02% 14 0.04% 199 0.50%52 No Data 103 0.26% 238 0.60% 133 0.34% 1160 2.93%53 F 49 0.12% 118 0.30% 73 0.18% 600 1.51%54 M 54 0.14% 120 0.30% 60 0.15% 560 1.41%

Grand Total 7436 18.76% 5287 13.34% 1932 4.88% 39628 100.00%

40 MEDIUM OF INSTRUCTION


No Row Labels value % value % value % value % value %1 Malayalam 14375 6.60% 16086 7.38% 4773 2.19% 6597 3.03% 20178 9.26%2 F 6929 3.18% 7807 3.58% 2393 1.10% 3304 1.52% 9880 4.54%3 M 7446 3.42% 8279 3.80% 2380 1.09% 3293 1.51% 10298 4.73%4 English 1988 0.91% 5496 2.52% 2961 1.36% 3493 1.60% 7203 3.31%5 F 946 0.43% 2690 1.23% 1463 0.67% 1724 0.79% 3427 1.57%6 M 1042 0.48% 2806 1.29% 1498 0.69% 1769 0.81% 3776 1.73%7 Tamil 167 0.08% 165 0.08% 141 0.06% 318 0.15% 343 0.16%8 F 93 0.04% 79 0.04% 70 0.03% 164 0.08% 164 0.08%9 M 74 0.03% 86 0.04% 71 0.03% 154 0.07% 179 0.08%

10 Hindi 35 0.02% 49 0.02% 12 0.01% 11 0.01% 52 0.02%11 F 15 0.01% 20 0.01% 4 0.00% 6 0.00% 24 0.01%12 M 20 0.01% 29 0.01% 8 0.00% 5 0.00% 28 0.01%13 Not Applicable 790 0.36% 1512 0.69% 238 0.11% 261 0.12% 1298 0.60%14 F 402 0.18% 730 0.34% 129 0.06% 130 0.06% 676 0.31%15 M 388 0.18% 782 0.36% 109 0.05% 131 0.06% 622 0.29%16 No Data 2432 1.12% 4883 2.24% 751 0.34% 1986 0.91% 3256 1.49%17 F 1200 0.55% 2481 1.14% 397 0.18% 990 0.45% 1676 0.77%18 M 1232 0.57% 2402 1.10% 354 0.16% 996 0.46% 1580 0.73%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

40 MEDIUM OF INSTRUCTION (Continuied)


No Row Labels value % value % value %1 Malayalam 17558 8.06% 37604 17.26% 4998 2.29% 122169 56.09%2 F 8342 3.83% 17854 8.20% 2477 1.14% 58986 27.08%


40 MEDIUM OF INSTRUCTION (Continuied)


No Row Labels value % value % value %3 M 9216 4.23% 19750 9.07% 2521 1.16% 63183 29.01%4 English 3391 1.56% 4836 2.22% 4902 2.25% 34270 15.73%5 F 1677 0.77% 2334 1.07% 2323 1.07% 16584 7.61%6 M 1714 0.79% 2502 1.15% 2579 1.18% 17686 8.12%7 Tamil 348 0.16% 414 0.19% 25719 11.81% 27615 12.68%8 F 182 0.08% 217 0.10% 12307 5.65% 13276 6.09%9 M 166 0.08% 197 0.09% 13411 6.16% 14338 6.58%

10 Hindi 36 0.02% 77 0.04% 85 0.04% 357 0.16%11 F 19 0.01% 39 0.02% 41 0.02% 168 0.08%12 M 17 0.01% 38 0.02% 44 0.02% 189 0.09%13 Not Applicable 1869 0.86% 3449 1.58% 1860 0.85% 11277 5.18%14 F 937 0.43% 1697 0.78% 862 0.40% 5563 2.55%15 M 932 0.43% 1752 0.80% 998 0.46% 5714 2.62%16 No Data 4982 2.29% 2606 1.20% 1228 0.56% 22124 10.16%17 F 2375 1.09% 1276 0.59% 557 0.26% 10952 5.03%18 M 2607 1.20% 1330 0.61% 671 0.31% 11172 5.13%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

40A SEX-WISE DISTRIBUTION OF MEDIUM OF INSTRUCTION OF THE AGE GROUP 05-15 YEARS



10 Hindi 13 0.03% 13 0.03% 5 0.01% 4 0.01% 9 0.02%11 F 5 0.01% 3 0.01% 2 0.01% 2 0.01% 5 0.01%12 M 8 0.02% 10 0.03% 3 0.01% 2 0.01% 4 0.01%13 Not Applicable 58 0.15% 70 0.18% 7 0.02% 27 0.07% 60 0.15%14 F 32 0.08% 34 0.09% 5 0.01% 9 0.02% 32 0.08%15 M 26 0.07% 36 0.09% 2 0.01% 18 0.05% 28 0.07%16 No Data 175 0.44% 533 1.34% 56 0.14% 188 0.47% 182 0.46%17 F 89 0.22% 280 0.70% 27 0.07% 89 0.22% 103 0.26%18 M 86 0.22% 253 0.64% 29 0.07% 99 0.25% 79 0.20%

Grand Total 3566 8.98% 4841 12.19% 1220 3.07% 1820 4.58% 5300 13.34%

40A SEX-WISE DISTRIBUTION OF MEDIUM OF INSTRUCTION OF THE AGE GROUP 05-15 YEARS (Continuied)


No Row Labels value % value % value %1 Malayalam 3056 7.69% 6238 15.70% 858 2.16% 16266 40.95%2 F 1521 3.83% 3004 7.56% 442 1.11% 7921 19.94%3 M 1535 3.86% 3234 8.14% 416 1.05% 8345 21.01%4 English 2010 5.06% 2845 7.16% 2343 5.90% 16364 41.19%5 F 1010 2.54% 1407 3.54% 1075 2.71% 7908 19.91%6 M 1000 2.52% 1438 3.62% 1268 3.19% 8456 21.29%7 Tamil 22 0.06% 34 0.09% 4646 11.70% 4769 12.01%8 F 7 0.02% 18 0.05% 2274 5.72% 2342 5.90%9 M 15 0.04% 16 0.04% 2372 5.97% 2427 6.11%

10 Hindi 12 0.03% 27 0.07% 24 0.06% 107 0.27%11 F 7 0.02% 15 0.04% 12 0.03% 51 0.13%12 M 5 0.01% 12 0.03% 12 0.03% 56 0.14%13 Not Applicable 114 0.29% 160 0.40% 50 0.13% 546 1.37%14 F 63 0.16% 81 0.20% 27 0.07% 283 0.71%


40A SEX-WISE DISTRIBUTION OF MEDIUM OF INSTRUCTION OF THE AGE GROUP 05-15 YEARS (Continuied)


No Row Labels value % value % value %15 M 51 0.13% 79 0.20% 23 0.06% 263 0.66%16 No Data 302 0.76% 164 0.41% 73 0.18% 1673 4.21%17 F 148 0.37% 84 0.21% 40 0.10% 860 2.16%18 M 154 0.39% 80 0.20% 33 0.08% 813 2.05%

Grand Total 5516 13.89% 9468 23.83% 7994 20.12% 39725 100.00%

40B SEX-WISE DISTRIBUTION OF THE MEDIUM OF INSTRUCTION THE AGE GROUP OF 16-25 YEARS



10 Hindi 3 0.01% 6 0.02% 1 0.00% 1 0.00% 7 0.02%11 F 2 0.01% 2 0.01% 0.00% 0.00% 4 0.01%12 M 1 0.00% 4 0.01% 1 0.00% 1 0.00% 3 0.01%13 Not Applicable 43 0.12% 68 0.18% 8 0.02% 7 0.02% 51 0.14%14 F 17 0.05% 32 0.09% 4 0.01% 4 0.01% 24 0.07%15 M 26 0.07% 36 0.10% 4 0.01% 3 0.01% 27 0.07%16 No Data 250 0.68% 658 1.79% 87 0.24% 236 0.64% 253 0.69%17 F 128 0.35% 358 0.97% 44 0.12% 125 0.34% 118 0.32%18 M 122 0.33% 300 0.81% 43 0.12% 111 0.30% 135 0.37%

Grand Total 3170 8.61% 4296 11.67% 1372 3.73% 1962 5.33% 4842 13.15%

40B SEX-WISE DISTRIBUTION OF THE MEDIUM OF INSTRUCTION THE AGE GROUP OF 16-25 YEARS (Continuied)




Grand Total 5131 13.93% 8765 23.80% 7289 19.79% 36827 100.00%


40C SEX-WISE DISTRIBUTION OF THE MEDIUM OF INSTRUCTION THE AGE GROUP OF 26-35 YEARS



10 Hindi 4 0.01% 6 0.02% 0.00% 4 0.01% 13 0.03%11 F 1 0.00% 2 0.01% 0.00% 2 0.01% 4 0.01%12 M 3 0.01% 4 0.01% 0.00% 2 0.01% 9 0.02%13 Not Applicable 52 0.13% 156 0.39% 8 0.02% 11 0.03% 100 0.25%14 F 25 0.06% 74 0.19% 4 0.01% 6 0.02% 53 0.13%15 M 27 0.07% 82 0.21% 4 0.01% 5 0.01% 47 0.12%16 No Data 362 0.91% 854 2.16% 82 0.21% 305 0.77% 387 0.98%17 F 158 0.40% 414 1.04% 49 0.12% 148 0.37% 199 0.50%18 M 204 0.51% 440 1.11% 33 0.08% 157 0.40% 188 0.47%

Grand Total 3555 8.97% 4995 12.60% 1308 3.30% 1932 4.88% 5560 14.03%

40C SEX-WISE DISTRIBUTION OF THE MEDIUM OF INSTRUCTION THE AGE GROUP OF 26-35 YEARS (Continuied)




Grand Total 5287 13.34% 9555 24.11% 7436 18.76% 39628 100.00%

41 SUBJECTS FOR STUDY


No Row Labels value % value % value % value % value %1 Not Applicable 14967 6.87% 17258 7.92% 4421 2.03% 6283 2.88% 22749 10.44%2 F 7210 3.31% 8385 3.85% 2275 1.04% 3125 1.43% 11110 5.10%3 M 7757 3.56% 8873 4.07% 2146 0.99% 3158 1.45% 11639 5.34%4 Literature 312 0.14% 566 0.26% 181 0.08% 266 0.12% 498 0.23%5 F 160 0.07% 310 0.14% 104 0.05% 171 0.08% 285 0.13%6 M 152 0.07% 256 0.12% 77 0.04% 95 0.04% 213 0.10%7 Arts 449 0.21% 1025 0.47% 682 0.31% 821 0.38% 990 0.45%8 F 252 0.12% 593 0.27% 368 0.17% 458 0.21% 596 0.27%9 M 197 0.09% 432 0.20% 314 0.14% 363 0.17% 394 0.18%

10 Science 586 0.27% 1303 0.60% 716 0.33% 799 0.37% 1534 0.70%11 F 350 0.16% 701 0.32% 452 0.21% 467 0.21% 927 0.43%12 M 236 0.11% 602 0.28% 264 0.12% 332 0.15% 607 0.28%


41 SUBJECTS FOR STUDY (Continuied)


No Row Labels value % value % value %1 Not Applicable 20586 9.45% 40697 18.68% 31924 14.66% 158885 72.94%2 F 9887 4.54% 19480 8.94% 15249 7.00% 76721 35.22%3 M 10699 4.91% 21217 9.74% 16674 7.65% 82163 37.72%4 Literature 359 0.16% 707 0.32% 374 0.17% 3263 1.50%5 F 183 0.08% 349 0.16% 217 0.10% 1779 0.82%6 M 176 0.08% 358 0.16% 157 0.07% 1484 0.68%7 Arts 550 0.25% 1121 0.51% 386 0.18% 6024 2.77%8 F 289 0.13% 561 0.26% 223 0.10% 3340 1.53%9 M 261 0.12% 560 0.26% 163 0.07% 2684 1.23%

10 Science 990 0.45% 1569 0.72% 1148 0.53% 8645 3.97%11 F 561 0.26% 864 0.40% 760 0.35% 5082 2.33%12 M 429 0.20% 705 0.32% 388 0.18% 3563 1.64%13 Commerce 470 0.22% 864 0.40% 793 0.36% 5566 2.56%



No Row Labels value % value % value % value % value %13 Commerce 366 0.17% 776 0.36% 546 0.25% 544 0.25% 1207 0.55%14 F 185 0.08% 343 0.16% 233 0.11% 248 0.11% 566 0.26%15 M 181 0.08% 433 0.20% 313 0.14% 296 0.14% 641 0.29%16 management 50 0.02% 108 0.05% 55 0.03% 76 0.03% 152 0.07%17 F 16 0.01% 52 0.02% 14 0.01% 34 0.02% 55 0.03%18 M 34 0.02% 56 0.03% 41 0.02% 42 0.02% 97 0.04%19 Fine arts 23 0.01% 35 0.02% 18 0.01% 19 0.01% 70 0.03%20 F 12 0.01% 21 0.01% 7 0.00% 9 0.00% 38 0.02%21 M 11 0.01% 14 0.01% 11 0.01% 10 0.00% 32 0.01%22 law 18 0.01% 59 0.03% 26 0.01% 37 0.02% 57 0.03%23 F 5 0.00% 28 0.01% 13 0.01% 16 0.01% 30 0.01%24 M 13 0.01% 31 0.01% 13 0.01% 21 0.01% 27 0.01%25 Engineering 115 0.05% 333 0.15% 457 0.21% 480 0.22% 409 0.19%26 F 32 0.01% 133 0.06% 152 0.07% 164 0.08% 126 0.06%27 M 83 0.04% 200 0.09% 305 0.14% 316 0.15% 283 0.13%28 Medicine 44 0.02% 63 0.03% 122 0.06% 128 0.06% 109 0.05%29 F 34 0.02% 51 0.02% 70 0.03% 73 0.03% 73 0.03%30 M 10 0.00% 12 0.01% 52 0.02% 55 0.03% 36 0.02%31 Architecture 8 0.00% 25 0.01% 8 0.00% 7 0.00% 15 0.01%32 F 4 0.00% 11 0.01% 4 0.00% 5 0.00% 9 0.00%33 M 4 0.00% 14 0.01% 4 0.00% 2 0.00% 6 0.00%34 Journalism 4 0.00% 21 0.01% 15 0.01% 21 0.01% 23 0.01%35 F 2 0.00% 11 0.01% 7 0.00% 11 0.01% 12 0.01%36 M 2 0.00% 10 0.00% 8 0.00% 10 0.00% 11 0.01%37 ITI Trades 149 0.07% 310 0.14% 177 0.08% 220 0.10% 495 0.23%38 F 24 0.01% 49 0.02% 23 0.01% 36 0.02% 66 0.03%39 M 125 0.06% 261 0.12% 154 0.07% 184 0.08% 429 0.20%40 Other Professioinals 181 0.08% 344 0.16% 167 0.08% 220 0.10% 467 0.21%41 F 103 0.05% 189 0.09% 101 0.05% 138 0.06% 265 0.12%42 M 78 0.04% 155 0.07% 66 0.03% 82 0.04% 202 0.09%43 Diploma 74 0.03% 190 0.09% 146 0.07% 178 0.08% 236 0.11%44 F 21 0.01% 46 0.02% 45 0.02% 67 0.03% 75 0.03%45 M 53 0.02% 144 0.07% 101 0.05% 111 0.05% 161 0.07%46 Certificate 38 0.02% 74 0.03% 68 0.03% 85 0.04% 91 0.04%47 F 24 0.01% 35 0.02% 41 0.02% 58 0.03% 50 0.02%48 M 14 0.01% 39 0.02% 27 0.01% 27 0.01% 41 0.02%49 Others 262 0.12% 657 0.30% 272 0.12% 253 0.12% 518 0.24%50 F 122 0.06% 314 0.14% 142 0.07% 135 0.06% 253 0.12%51 M 140 0.06% 343 0.16% 130 0.06% 118 0.05% 265 0.12%52 No data 2141 0.98% 5044 2.32% 799 0.37% 2229 1.02% 2711 1.24%53 F 1029 0.47% 2535 1.16% 405 0.19% 1103 0.51% 1312 0.60%54 M 1112 0.51% 2509 1.15% 394 0.18% 1126 0.52% 1399 0.64%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%




No Row Labels value % value % value %14 F 212 0.10% 380 0.17% 427 0.20% 2594 1.19%15 M 258 0.12% 484 0.22% 366 0.17% 2972 1.36%16 management 117 0.05% 181 0.08% 196 0.09% 935 0.43%17 F 56 0.03% 70 0.03% 71 0.03% 368 0.17%18 M 61 0.03% 111 0.05% 125 0.06% 567 0.26%19 Fine arts 15 0.01% 43 0.02% 53 0.02% 276 0.13%20 F 10 0.00% 15 0.01% 23 0.01% 135 0.06%21 M 5 0.00% 28 0.01% 30 0.01% 141 0.06%22 law 46 0.02% 67 0.03% 25 0.01% 335 0.15%23 F 20 0.01% 35 0.02% 10 0.00% 157 0.07%24 M 26 0.01% 32 0.01% 15 0.01% 178 0.08%25 Engineering 186 0.09% 242 0.11% 818 0.38% 3040 1.40%26 F 57 0.03% 64 0.03% 287 0.13% 1015 0.47%27 M 129 0.06% 178 0.08% 531 0.24% 2025 0.93%28 Medicine 66 0.03% 121 0.06% 153 0.07% 806 0.37%29 F 48 0.02% 88 0.04% 114 0.05% 551 0.25%30 M 18 0.01% 33 0.02% 39 0.02% 255 0.12%31 Architecture 7 0.00% 16 0.01% 44 0.02% 130 0.06%32 F 2 0.00% 7 0.00% 8 0.00% 50 0.02%33 M 5 0.00% 9 0.00% 36 0.02% 80 0.04%34 Journalism 14 0.01% 27 0.01% 11 0.01% 136 0.06%35 F 4 0.00% 11 0.01% 1 0.00% 59 0.03%36 M 10 0.00% 16 0.01% 10 0.00% 77 0.04%37 ITI Trades 230 0.11% 378 0.17% 307 0.14% 2266 1.04%38 F 35 0.02% 48 0.02% 44 0.02% 325 0.15%39 M 195 0.09% 330 0.15% 263 0.12% 1941 0.89%40 Other Professioinals 262 0.12% 456 0.21% 478 0.22% 2575 1.18%41 F 132 0.06% 257 0.12% 174 0.08% 1359 0.62%42 M 130 0.06% 199 0.09% 304 0.14% 1216 0.56%43 Diploma 107 0.05% 157 0.07% 298 0.14% 1386 0.64%44 F 50 0.02% 45 0.02% 92 0.04% 441 0.20%45 M 57 0.03% 112 0.05% 206 0.09% 945 0.43%46 Certificate 54 0.02% 72 0.03% 74 0.03% 556 0.26%47 F 28 0.01% 43 0.02% 46 0.02% 325 0.15%48 M 26 0.01% 29 0.01% 28 0.01% 231 0.11%49 Others 517 0.24% 724 0.33% 896 0.41% 4099 1.88%50 F 241 0.11% 333 0.15% 435 0.20% 1975 0.91%51 M 276 0.13% 391 0.18% 461 0.21% 2124 0.98%52 No data 3617 1.66% 1544 0.71% 814 0.37% 18899 8.68%53 F 1721 0.79% 767 0.35% 386 0.18% 9258 4.25%54 M 1896 0.87% 777 0.36% 428 0.20% 9641 4.43%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

41A SEX-WISE DISTRIBUTION OF SUBJECT FOR STUDY OF THE AGE GROUP OF 16-25 YEARS



10 Science 30 0.08% 52 0.13% 13 0.03% 15 0.04% 43 0.11%11 F 20 0.05% 35 0.09% 8 0.02% 8 0.02% 25 0.06%12 M 10 0.03% 17 0.04% 5 0.01% 7 0.02% 18 0.05%13 Commerce 19 0.05% 11 0.03% 7 0.02% 8 0.02% 38 0.10%14 F 10 0.03% 4 0.01% 1 0.00% 4 0.01% 26 0.07%


41A SEX-WISE DISTRIBUTION OF SUBJECT FOR STUDY OF THE AGE GROUP OF 16-25 YEARS (Continuied)



10 Science 34 0.09% 52 0.13% 38 0.10% 277 0.70%11 F 17 0.04% 32 0.08% 19 0.05% 164 0.41%12 M 17 0.04% 20 0.05% 19 0.05% 113 0.28%13 Commerce 12 0.03% 28 0.07% 17 0.04% 140 0.35%14 F 7 0.02% 19 0.05% 10 0.03% 81 0.20%15 M 5 0.01% 9 0.02% 7 0.02% 59 0.15%16 management 6 0.02% 13 0.03% 5 0.01% 66 0.17%



No Row Labels value % value % value % value % value %15 M 9 0.02% 7 0.02% 6 0.02% 4 0.01% 12 0.03%16 management 5 0.01% 11 0.03% 4 0.01% 3 0.01% 19 0.05%17 F 3 0.01% 6 0.02% 2 0.01% 2 0.01% 5 0.01%18 M 2 0.01% 5 0.01% 2 0.01% 1 0.00% 14 0.04%19 Fine arts 1 0.00% 3 0.01% 0.00% 2 0.01% 13 0.03%20 F 1 0.00% 2 0.01% 0.00% 1 0.00% 8 0.02%21 M 0.00% 1 0.00% 0.00% 1 0.00% 5 0.01%22 law 0.00% 3 0.01% 1 0.00% 1 0.00% 4 0.01%23 F 0.00% 3 0.01% 1 0.00% 1 0.00% 4 0.01%24 M 2 0.01% 3 0.01% 0.00% 2 0.01% 2 0.01%25 Engineering 0.00% 2 0.01% 0.00% 1 0.00% 1 0.00%26 F 2 0.01% 1 0.00% 0.00% 1 0.00% 1 0.00%27 M 3 0.01% 3 0.01% 1 0.00% 2 0.01% 2 0.01%28 Medicine 2 0.01% 2 0.01% 0.00% 0.00% 1 0.00%29 F 1 0.00% 1 0.00% 1 0.00% 2 0.01% 1 0.00%30 M 1 0.00% 3 0.01% 2 0.01% 0.00% 1 0.00%31 Architecture 1 0.00% 2 0.01% 1 0.00% 0.00% 1 0.00%32 F 0.00% 1 0.00% 1 0.00% 0.00% 0.00%33 M 0.00% 0.00% 2 0.01% 2 0.01% 2 0.01%34 Journalism 0.00% 0.00% 0.00% 1 0.00% 1 0.00%35 F 0.00% 0.00% 2 0.01% 1 0.00% 1 0.00%36 M 3 0.01% 4 0.01% 1 0.00% 1 0.00% 17 0.04%37 ITI Trades 1 0.00% 4 0.01% 0.00% 0.00% 7 0.02%38 F 2 0.01% 0.00% 1 0.00% 1 0.00% 10 0.03%39 M 2 0.01% 3 0.01% 6 0.02% 0.00% 7 0.02%40 Other Professioinals 0.00% 2 0.01% 5 0.01% 0.00% 5 0.01%41 F 2 0.01% 1 0.00% 1 0.00% 0.00% 2 0.01%42 M 0.00% 4 0.01% 2 0.01% 0.00% 0.00%43 Diploma 0.00% 3 0.01% 0.00% 0.00% 0.00%44 F 0.00% 1 0.00% 2 0.01% 0.00% 0.00%45 M 0.00% 4 0.01% 0.00% 0.00% 3 0.01%46 Certificate 0.00% 2 0.01% 0.00% 0.00% 1 0.00%47 F 0.00% 2 0.01% 0.00% 0.00% 2 0.01%48 M 34 0.09% 117 0.29% 42 0.11% 35 0.09% 72 0.18%49 Others 13 0.03% 48 0.12% 17 0.04% 19 0.05% 32 0.08%50 F 21 0.05% 69 0.17% 25 0.06% 16 0.04% 40 0.10%51 M 343 0.86% 826 2.08% 128 0.32% 347 0.87% 423 1.06%52 No data 161 0.41% 412 1.04% 61 0.15% 159 0.40% 208 0.52%53 F 182 0.46% 414 1.04% 67 0.17% 188 0.47% 215 0.54%54 M 3566 8.98% 4841 12.19% 1220 3.07% 1820 4.58% 5300 13.34%




No Row Labels value % value % value %17 F 5 0.01% 8 0.02% 2 0.01% 33 0.08%18 M 1 0.00% 5 0.01% 3 0.01% 33 0.08%19 Fine arts 0.00% 2 0.01% 4 0.01% 25 0.06%20 F 0.00% 1 0.00% 3 0.01% 16 0.04%21 M 0.00% 1 0.00% 1 0.00% 9 0.02%22 law 0.00% 0.00% 1 0.00% 10 0.03%23 F 0.00% 0.00% 1 0.00% 10 0.03%24 M 0.00% 3 0.01% 2 0.01% 14 0.04%25 Engineering 0.00% 1 0.00% 0.00% 5 0.01%26 F 0.00% 2 0.01% 2 0.01% 9 0.02%27 M 0.00% 3 0.01% 2 0.01% 16 0.04%28 Medicine 0.00% 1 0.00% 0.00% 6 0.02%29 F 0.00% 2 0.01% 2 0.01% 10 0.03%30 M 0.00% 1 0.00% 2 0.01% 10 0.03%31 Architecture 0.00% 1 0.00% 1 0.00% 7 0.02%32 F 0.00% 0.00% 1 0.00% 3 0.01%33 M 2 0.01% 0.00% 0.00% 8 0.02%34 Journalism 0.00% 0.00% 0.00% 2 0.01%35 F 2 0.01% 0.00% 0.00% 6 0.02%36 M 2 0.01% 3 0.01% 0.00% 31 0.08%37 ITI Trades 0.00% 2 0.01% 0.00% 14 0.04%38 F 2 0.01% 1 0.00% 0.00% 17 0.04%39 M 0.00% 4 0.01% 6 0.02% 28 0.07%40 Other Professioinals 0.00% 2 0.01% 0.00% 14 0.04%41 F 0.00% 2 0.01% 6 0.02% 14 0.04%42 M 0.00% 0.00% 1 0.00% 7 0.02%43 Diploma 0.00% 0.00% 0.00% 3 0.01%44 F 0.00% 0.00% 1 0.00% 4 0.01%45 M 1 0.00% 2 0.01% 6 0.02% 16 0.04%46 Certificate 1 0.00% 2 0.01% 5 0.01% 11 0.03%47 F 0.00% 0.00% 1 0.00% 5 0.01%48 M 110 0.28% 164 0.41% 134 0.34% 708 1.78%49 Others 59 0.15% 82 0.21% 67 0.17% 337 0.85%50 F 51 0.13% 82 0.21% 67 0.17% 371 0.93%51 M 571 1.44% 256 0.64% 155 0.39% 3049 7.68%52 No data 278 0.70% 135 0.34% 87 0.22% 1501 3.78%53 F 293 0.74% 121 0.30% 68 0.17% 1548 3.90%54 M 5516 13.89% 9468 23.83% 7994 20.12% 39725 100.00%

41B SEX-WISE DISTRIBUTION OF THE SUBJECTS FOR STUDY OF THE AGE GROUP OF 26-35 YEARS

Anjuthen-gu


thura


10 Science 352 0.96% 617 1.68% 228 0.62% 272 0.74% 802 2.18%11 F 218 0.59% 338 0.92% 153 0.42% 172 0.47% 512 1.39%12 M 134 0.36% 279 0.76% 75 0.20% 100 0.27% 290 0.79%13 Commerce 162 0.44% 256 0.70% 147 0.40% 162 0.44% 469 1.27%14 F 77 0.21% 121 0.33% 62 0.17% 74 0.20% 217 0.59%15 M 85 0.23% 135 0.37% 85 0.23% 88 0.24% 252 0.68%16 management 17 0.05% 32 0.09% 16 0.04% 20 0.05% 44 0.12%17 F 6 0.02% 16 0.04% 6 0.02% 8 0.02% 16 0.04%18 M 11 0.03% 16 0.04% 10 0.03% 12 0.03% 28 0.08%


41B SEX-WISE DISTRIBUTION OF THE SUBJECTS FOR STUDY OF THE AGE GROUP OF 26-35 YEARS (Continuied)



10 Science 635 1.72% 963 2.61% 537 1.46% 4406 11.96%11 F 386 1.05% 558 1.52% 385 1.05% 2722 7.39%12 M 249 0.68% 405 1.10% 152 0.41% 1684 4.57%13 Commerce 228 0.62% 493 1.34% 436 1.18% 2353 6.39%14 F 99 0.27% 235 0.64% 284 0.77% 1169 3.17%15 M 129 0.35% 258 0.70% 152 0.41% 1184 3.22%16 management 44 0.12% 62 0.17% 66 0.18% 301 0.82%17 F 17 0.05% 21 0.06% 29 0.08% 119 0.32%18 M 27 0.07% 41 0.11% 37 0.10% 182 0.49%19 Fine arts 4 0.01% 25 0.07% 19 0.05% 83 0.23%


Anjuthen-gu


thura

No Row Labels value % value % value % value % value %19 Fine arts 8 0.02% 6 0.02% 2 0.01% 2 0.01% 17 0.05%20 F 3 0.01% 3 0.01% 0.00% 0.00% 7 0.02%21 M 5 0.01% 3 0.01% 2 0.01% 2 0.01% 10 0.03%22 law 10 0.03% 19 0.05% 3 0.01% 6 0.02% 20 0.05%23 F 5 0.01% 12 0.03% 1 0.00% 4 0.01% 15 0.04%24 M 5 0.01% 7 0.02% 2 0.01% 2 0.01% 5 0.01%25 Engineering 71 0.19% 212 0.58% 193 0.52% 231 0.63% 236 0.64%26 F 25 0.07% 102 0.28% 77 0.21% 101 0.27% 88 0.24%27 M 46 0.12% 110 0.30% 116 0.31% 130 0.35% 148 0.40%28 Medicine 27 0.07% 32 0.09% 38 0.10% 47 0.13% 52 0.14%29 F 23 0.06% 27 0.07% 23 0.06% 33 0.09% 41 0.11%30 M 4 0.01% 5 0.01% 15 0.04% 14 0.04% 11 0.03%31 Architecture 3 0.01% 5 0.01% 3 0.01% 2 0.01% 3 0.01%32 F 1 0.00% 2 0.01% 1 0.00% 2 0.01% 3 0.01%33 M 2 0.01% 3 0.01% 2 0.01% 0.00% 0.00%34 Journalism 1 0.00% 11 0.03% 4 0.01% 4 0.01% 12 0.03%35 F 0.00% 7 0.02% 3 0.01% 2 0.01% 7 0.02%36 M 1 0.00% 4 0.01% 1 0.00% 2 0.01% 5 0.01%37 ITI Trades 57 0.15% 105 0.29% 47 0.13% 41 0.11% 91 0.25%38 F 11 0.03% 19 0.05% 7 0.02% 6 0.02% 15 0.04%39 M 46 0.12% 86 0.23% 40 0.11% 35 0.10% 76 0.21%40 Other Professioinals 102 0.28% 155 0.42% 55 0.15% 74 0.20% 191 0.52%41 F 69 0.19% 96 0.26% 37 0.10% 46 0.12% 116 0.31%42 M 33 0.09% 59 0.16% 18 0.05% 28 0.08% 75 0.20%43 Diploma 37 0.10% 71 0.19% 32 0.09% 47 0.13% 101 0.27%44 F 14 0.04% 20 0.05% 12 0.03% 19 0.05% 45 0.12%45 M 23 0.06% 51 0.14% 20 0.05% 28 0.08% 56 0.15%46 Certificate 10 0.03% 18 0.05% 9 0.02% 15 0.04% 33 0.09%47 F 8 0.02% 8 0.02% 4 0.01% 9 0.02% 19 0.05%48 M 2 0.01% 10 0.03% 5 0.01% 6 0.02% 14 0.04%49 Others 95 0.26% 132 0.36% 55 0.15% 55 0.15% 122 0.33%50 F 50 0.14% 70 0.19% 29 0.08% 25 0.07% 58 0.16%51 M 45 0.12% 62 0.17% 26 0.07% 30 0.08% 64 0.17%52 No data 269 0.73% 651 1.77% 90 0.24% 257 0.70% 271 0.74%53 F 131 0.36% 337 0.92% 46 0.12% 137 0.37% 120 0.33%54 M 138 0.37% 314 0.85% 44 0.12% 120 0.33% 151 0.41%

Grand Total 3170 8.61% 4296 11.67% 1372 3.73% 1962 5.33% 4842 13.15%




No Row Labels value % value % value %20 F 2 0.01% 7 0.02% 9 0.02% 31 0.08%21 M 2 0.01% 18 0.05% 10 0.03% 52 0.14%22 law 27 0.07% 40 0.11% 9 0.02% 134 0.36%23 F 11 0.03% 26 0.07% 6 0.02% 80 0.22%24 M 16 0.04% 14 0.04% 3 0.01% 54 0.15%25 Engineering 126 0.34% 173 0.47% 532 1.44% 1774 4.82%26 F 45 0.12% 53 0.14% 220 0.60% 711 1.93%27 M 81 0.22% 120 0.33% 312 0.85% 1063 2.89%28 Medicine 48 0.13% 77 0.21% 80 0.22% 401 1.09%29 F 39 0.11% 58 0.16% 64 0.17% 308 0.84%30 M 9 0.02% 19 0.05% 16 0.04% 93 0.25%31 Architecture 5 0.01% 2 0.01% 27 0.07% 50 0.14%32 F 2 0.01% 1 0.00% 4 0.01% 16 0.04%33 M 3 0.01% 1 0.00% 23 0.06% 34 0.09%34 Journalism 5 0.01% 9 0.02% 4 0.01% 50 0.14%35 F 2 0.01% 4 0.01% 0.00% 25 0.07%36 M 3 0.01% 5 0.01% 4 0.01% 25 0.07%37 ITI Trades 96 0.26% 141 0.38% 109 0.30% 687 1.87%38 F 20 0.05% 27 0.07% 20 0.05% 125 0.34%39 M 76 0.21% 114 0.31% 89 0.24% 562 1.53%40 Other Professioinals 156 0.42% 223 0.61% 170 0.46% 1126 3.06%41 F 81 0.22% 123 0.33% 65 0.18% 633 1.72%42 M 75 0.20% 100 0.27% 105 0.29% 493 1.34%43 Diploma 58 0.16% 74 0.20% 124 0.34% 544 1.48%44 F 34 0.09% 25 0.07% 44 0.12% 213 0.58%45 M 24 0.07% 49 0.13% 80 0.22% 331 0.90%46 Certificate 10 0.03% 38 0.10% 18 0.05% 151 0.41%47 F 5 0.01% 21 0.06% 11 0.03% 85 0.23%48 M 5 0.01% 17 0.05% 7 0.02% 66 0.18%49 Others 163 0.44% 242 0.66% 241 0.65% 1105 3.00%50 F 73 0.20% 122 0.33% 123 0.33% 550 1.49%51 M 90 0.24% 120 0.33% 118 0.32% 555 1.51%52 No data 525 1.43% 172 0.47% 135 0.37% 2370 6.44%53 F 257 0.70% 84 0.23% 62 0.17% 1174 3.19%54 M 268 0.73% 88 0.24% 73 0.20% 1196 3.25%

Grand Total 5131 13.93% 8765 23.80% 7289 19.79% 36827 100.00%

41C SUBJECTS OF STUDY IN THE AGE GROUP OF 36-60 YEARS

Anjuthen-gu


thura


10 Science 105 0.26% 304 0.77% 121 0.31% 146 0.37% 374 0.94%11 F 55 0.14% 177 0.45% 83 0.21% 89 0.22% 224 0.57%12 M 50 0.13% 127 0.32% 38 0.10% 57 0.14% 150 0.38%13 Commerce 89 0.22% 269 0.68% 136 0.34% 140 0.35% 333 0.84%14 F 58 0.15% 127 0.32% 67 0.17% 68 0.17% 154 0.39%15 M 31 0.08% 142 0.36% 69 0.17% 72 0.18% 179 0.45%16 management 11 0.03% 23 0.06% 22 0.06% 33 0.08% 38 0.10%17 F 1 0.00% 7 0.02% 4 0.01% 14 0.04% 12 0.03%18 M 10 0.03% 16 0.04% 18 0.05% 19 0.05% 26 0.07%19 Fine arts 7 0.02% 8 0.02% 5 0.01% 1 0.00% 16 0.04%20 F 4 0.01% 6 0.02% 2 0.01% 1 0.00% 9 0.02%





10 Science 191 0.48% 366 0.92% 338 0.85% 1945 4.91%11 F 104 0.26% 195 0.49% 233 0.59% 1160 2.93%12 M 87 0.22% 171 0.43% 105 0.26% 785 1.98%13 Commerce 139 0.35% 200 0.50% 194 0.49% 1500 3.79%14 F 70 0.18% 79 0.20% 85 0.21% 708 1.79%15 M 69 0.17% 121 0.31% 109 0.28% 792 2.00%16 management 29 0.07% 47 0.12% 78 0.20% 281 0.71%17 F 11 0.03% 12 0.03% 24 0.06% 85 0.21%18 M 18 0.05% 35 0.09% 54 0.14% 196 0.49%19 Fine arts 5 0.01% 11 0.03% 14 0.04% 67 0.17%20 F 4 0.01% 6 0.02% 7 0.02% 39 0.10%21 M 1 0.00% 5 0.01% 7 0.02% 28 0.07%

41C SUBJECTS OF STUDY IN THE AGE GROUP OF 36-60 YEARS (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %21 M 3 0.01% 2 0.01% 3 0.01% 0.00% 7 0.02%22 law 3 0.01% 15 0.04% 6 0.02% 8 0.02% 11 0.03%23 F 0.00% 8 0.02% 4 0.01% 2 0.01% 5 0.01%24 M 3 0.01% 7 0.02% 2 0.01% 6 0.02% 6 0.02%25 Engineering 29 0.07% 76 0.19% 157 0.40% 122 0.31% 103 0.26%26 F 5 0.01% 20 0.05% 58 0.15% 42 0.11% 27 0.07%27 M 24 0.06% 56 0.14% 99 0.25% 80 0.20% 76 0.19%28 Medicine 4 0.01% 13 0.03% 27 0.07% 37 0.09% 34 0.09%29 F 3 0.01% 12 0.03% 16 0.04% 21 0.05% 19 0.05%30 M 1 0.00% 1 0.00% 11 0.03% 16 0.04% 15 0.04%31 Architecture 1 0.00% 6 0.02% 1 0.00% 4 0.01% 3 0.01%32 F 1 0.00% 3 0.01% 1 0.00% 3 0.01% 1 0.00%33 M 0.00% 3 0.01% 0.00% 1 0.00% 2 0.01%34 Journalism 2 0.01% 7 0.02% 4 0.01% 1 0.00% 2 0.01%35 F 1 0.00% 4 0.01% 2 0.01% 1 0.00% 2 0.01%36 M 1 0.00% 3 0.01% 2 0.01% 0.00% 0.00%37 ITI Trades 39 0.10% 87 0.22% 38 0.10% 55 0.14% 164 0.41%38 F 3 0.01% 17 0.04% 8 0.02% 11 0.03% 16 0.04%39 M 36 0.09% 70 0.18% 30 0.08% 44 0.11% 148 0.37%40 Other Professioinals 44 0.11% 96 0.24% 44 0.11% 53 0.13% 139 0.35%41 F 21 0.05% 55 0.14% 23 0.06% 30 0.08% 76 0.19%42 M 23 0.06% 41 0.10% 21 0.05% 23 0.06% 63 0.16%43 Diploma 22 0.06% 59 0.15% 35 0.09% 45 0.11% 63 0.16%44 F 6 0.02% 15 0.04% 9 0.02% 16 0.04% 16 0.04%45 M 16 0.04% 44 0.11% 26 0.07% 29 0.07% 47 0.12%46 Certificate 14 0.04% 23 0.06% 13 0.03% 16 0.04% 25 0.06%47 F 6 0.02% 13 0.03% 6 0.02% 11 0.03% 12 0.03%48 M 8 0.02% 10 0.03% 7 0.02% 5 0.01% 13 0.03%49 Others 45 0.11% 137 0.35% 39 0.10% 42 0.11% 121 0.31%50 F 14 0.04% 69 0.17% 22 0.06% 21 0.05% 70 0.18%51 M 31 0.08% 68 0.17% 17 0.04% 21 0.05% 51 0.13%52 No data 358 0.90% 797 2.01% 92 0.23% 313 0.79% 358 0.90%53 F 147 0.37% 387 0.98% 51 0.13% 158 0.40% 178 0.45%54 M 211 0.53% 410 1.03% 41 0.10% 155 0.39% 180 0.45%

Grand Total 3555 8.97% 4995 12.60% 1308 3.30% 1932 4.88% 5560 14.03%




No Row Labels value % value % value %22 law 10 0.03% 14 0.04% 5 0.01% 72 0.18%23 F 2 0.01% 6 0.02% 2 0.01% 29 0.07%24 M 8 0.02% 8 0.02% 3 0.01% 43 0.11%25 Engineering 36 0.09% 47 0.12% 223 0.56% 793 2.00%26 F 8 0.02% 6 0.02% 59 0.15% 225 0.57%27 M 28 0.07% 41 0.10% 164 0.41% 568 1.43%28 Medicine 9 0.02% 30 0.08% 45 0.11% 199 0.50%29 F 4 0.01% 22 0.06% 35 0.09% 132 0.33%30 M 5 0.01% 8 0.02% 10 0.03% 67 0.17%31 Architecture 0.00% 8 0.02% 7 0.02% 30 0.08%32 F 0.00% 3 0.01% 1 0.00% 13 0.03%33 M 0.00% 5 0.01% 6 0.02% 17 0.04%34 Journalism 3 0.01% 10 0.03% 4 0.01% 33 0.08%35 F 2 0.01% 3 0.01% 0.00% 15 0.04%36 M 1 0.00% 7 0.02% 4 0.01% 18 0.05%37 ITI Trades 59 0.15% 120 0.30% 106 0.27% 668 1.69%38 F 7 0.02% 11 0.03% 16 0.04% 89 0.22%39 M 52 0.13% 109 0.28% 90 0.23% 579 1.46%40 Other Professioinals 73 0.18% 152 0.38% 178 0.45% 779 1.97%41 F 36 0.09% 93 0.23% 65 0.16% 399 1.01%42 M 37 0.09% 59 0.15% 113 0.29% 380 0.96%43 Diploma 29 0.07% 52 0.13% 109 0.28% 414 1.04%44 F 11 0.03% 15 0.04% 31 0.08% 119 0.30%45 M 18 0.05% 37 0.09% 78 0.20% 295 0.74%46 Certificate 10 0.03% 13 0.03% 16 0.04% 130 0.33%47 F 5 0.01% 7 0.02% 9 0.02% 69 0.17%48 M 5 0.01% 6 0.02% 7 0.02% 61 0.15%49 Others 93 0.23% 150 0.38% 209 0.53% 836 2.11%50 F 41 0.10% 57 0.14% 97 0.24% 391 0.99%51 M 52 0.13% 93 0.23% 112 0.28% 445 1.12%52 No data 661 1.67% 233 0.59% 107 0.27% 2919 7.37%53 F 315 0.79% 116 0.29% 50 0.13% 1402 3.54%54 M 346 0.87% 117 0.30% 57 0.14% 1517 3.83%

Grand Total 5287 13.34% 9555 24.11% 7436 18.76% 39628 100.00%

42 EDUCATIONAL INSTTUTTIONS

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 State Aided 5729 2.63% 7793 3.58% 2535 1.16% 2428 1.11% 13286 6.10%2 F 2720 1.25% 3766 1.73% 1200 0.55% 1133 0.52% 6513 2.99%3 M 3009 1.38% 4027 1.85% 1335 0.61% 1295 0.59% 6773 3.11%4 State Un-Aided 2207 1.01% 3957 1.82% 1301 0.60% 1545 0.71% 3593 1.65%5 F 1085 0.50% 2020 0.93% 738 0.34% 857 0.39% 1818 0.83%6 M 1122 0.52% 1937 0.89% 563 0.26% 688 0.32% 1775 0.81%7 State Government 5887 2.70% 5879 2.70% 2678 1.23% 4007 1.84% 7163 3.29%8 F 2865 1.32% 2829 1.30% 1315 0.60% 2058 0.94% 3435 1.58%9 M 3022 1.39% 3050 1.40% 1363 0.63% 1949 0.89% 3728 1.71%

10 CBSE 754 0.35% 1273 0.58% 546 0.25% 547 0.25% 1415 0.65%11 F 343 0.16% 607 0.28% 252 0.12% 257 0.12% 616 0.28%12 M 411 0.19% 666 0.31% 294 0.13% 290 0.13% 799 0.37%13 ICSE 105 0.05% 249 0.11% 303 0.14% 302 0.14% 412 0.19%14 F 42 0.02% 114 0.05% 135 0.06% 154 0.07% 182 0.08%15 M 63 0.03% 135 0.06% 168 0.08% 148 0.07% 230 0.11%16 Not Applicable 2564 1.18% 3369 1.55% 612 0.28% 795 0.36% 3791 1.74%17 F 1267 0.58% 1645 0.76% 352 0.16% 397 0.18% 1956 0.90%18 M 1297 0.60% 1724 0.79% 260 0.12% 398 0.18% 1835 0.84%19 No Data 2121 0.97% 5063 2.32% 771 0.35% 2697 1.24% 2487 1.14%20 F 1047 0.48% 2530 1.16% 393 0.18% 1306 0.60% 1240 0.57%21 M 1074 0.49% 2533 1.16% 378 0.17% 1391 0.64% 1247 0.57%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%


42 EDUCATIONAL INSTTUTTIONS (Continuied)


No Row Labels value % value % value %1 State Aided 9852 4.52% 19304 8.86% 15487 7.11% 76414 35.08%2 F 4713 2.16% 9287 4.26% 7530 3.46% 36862 16.92%3 M 5139 2.36% 10017 4.60% 7957 3.65% 39552 18.16%4 State Un-Aided 1903 0.87% 4641 2.13% 3989 1.83% 23136 10.62%5 F 969 0.44% 2206 1.01% 1864 0.86% 11557 5.31%6 M 934 0.43% 2435 1.12% 2125 0.98% 11579 5.32%7 State Government 5776 2.65% 11356 5.21% 2075 0.95% 44821 20.58%8 F 2779 1.28% 5298 2.43% 998 0.46% 21577 9.91%9 M 2997 1.38% 6058 2.78% 1077 0.49% 23244 10.67%

10 CBSE 892 0.41% 1153 0.53% 251 0.12% 6831 3.14%11 F 415 0.19% 537 0.25% 119 0.05% 3146 1.44%12 M 477 0.22% 616 0.28% 132 0.06% 3685 1.69%13 ICSE 140 0.06% 209 0.10% 64 0.03% 1784 0.82%14 F 72 0.03% 82 0.04% 24 0.01% 805 0.37%15 M 68 0.03% 127 0.06% 40 0.02% 979 0.45%16 Not Applicable 6031 2.77% 10436 4.79% 15855 7.28% 43453 19.95%17 F 2888 1.33% 5105 2.34% 7534 3.46% 21144 9.71%18 M 3143 1.44% 5331 2.45% 8320 3.82% 22308 10.24%19 No Data 3318 1.52% 1637 0.75% 943 0.43% 19037 8.74%20 F 1567 0.72% 777 0.36% 446 0.20% 9306 4.27%21 M 1751 0.80% 860 0.39% 497 0.23% 9731 4.47%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

42A SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 5-15 YEARS

Anjuthen-gu


thura



Grand Total 3566 8.98% 4841 12.19% 1220 3.07% 1820 4.58% 5300 13.34%

42A SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 5-15 YEARS (Continuied)


No Row Labels value % value % value %1 State Aided 2109 5.31% 4292 10.80% 3710 9.34% 14414 36.28%2 F 1063 2.68% 2107 5.30% 1846 4.65% 7113 17.91%3 M 1046 2.63% 2185 5.50% 1864 4.69% 7301 18.38%4 State Un-Aided 747 1.88% 1535 3.86% 1575 3.96% 7445 18.74%5 F 384 0.97% 727 1.83% 713 1.79% 3671 9.24%6 M 363 0.91% 808 2.03% 862 2.17% 3774 9.50%


42A SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 5-15 YEARS (Continuied)


No Row Labels value % value % value %7 State Government 1292 3.25% 2123 5.34% 502 1.26% 6687 16.83%8 F 663 1.67% 1048 2.64% 249 0.63% 3321 8.36%9 M 629 1.58% 1075 2.71% 253 0.64% 3366 8.47%

10 CBSE 584 1.47% 829 2.09% 160 0.40% 4434 11.16%11 F 260 0.65% 391 0.98% 77 0.19% 2003 5.04%12 M 324 0.82% 438 1.10% 83 0.21% 2431 6.12%13 ICSE 68 0.17% 59 0.15% 13 0.03% 792 1.99%14 F 35 0.09% 25 0.06% 9 0.02% 370 0.93%15 M 33 0.08% 34 0.09% 4 0.01% 422 1.06%16 Not Applicable 258 0.65% 389 0.98% 1859 4.68% 3091 7.78%17 F 125 0.31% 193 0.49% 881 2.22% 1462 3.68%18 M 133 0.33% 196 0.49% 977 2.46% 1628 4.10%19 No Data 420 1.06% 201 0.51% 165 0.42% 2539 6.39%20 F 208 0.52% 104 0.26% 91 0.23% 1267 3.19%21 M 212 0.53% 97 0.24% 74 0.19% 1272 3.20%

Grand Total 5516 13.89% 9468 23.83% 7995 20.13% 39726 100.00%

42B SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 16-25 YEARS

Anjuthen-gu


thura



Grand Total 3170 8.61% 4296 11.67% 1372 3.73% 1962 5.33% 4842 13.15%

42B SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 16-25 YEARS (Continuied)



10 CBSE 141 0.38% 123 0.33% 36 0.10% 1007 2.73%11 F 63 0.17% 58 0.16% 18 0.05% 477 1.30%12 M 78 0.21% 65 0.18% 18 0.05% 530 1.44%


42B SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 16-25 YEARS (Continuied)


No Row Labels value % value % value %13 ICSE 25 0.07% 37 0.10% 14 0.04% 376 1.02%14 F 14 0.04% 10 0.03% 3 0.01% 181 0.49%15 M 11 0.03% 27 0.07% 11 0.03% 195 0.53%16 Not Applicable 528 1.43% 850 2.31% 2065 5.61% 4141 11.24%17 F 225 0.61% 404 1.10% 944 2.56% 1916 5.20%18 M 303 0.82% 446 1.21% 1121 3.04% 2225 6.04%19 No Data 418 1.14% 198 0.54% 134 0.36% 2467 6.70%20 F 214 0.58% 86 0.23% 62 0.17% 1219 3.31%21 M 204 0.55% 112 0.30% 72 0.20% 1248 3.39%

Grand Total 5131 13.93% 8765 23.80% 7289 19.79% 36827 100.00%

42C SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 26-35 YEARS

Anjuthen-gu


thura



Grand Total 3555 8.97% 4995 12.60% 1308 3.30% 1932 4.88% 5560 14.03%

42C SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 26-35 YEARS (Continuied)



10 CBSE 30 0.08% 22 0.06% 9 0.02% 388 0.98%11 F 20 0.05% 9 0.02% 5 0.01% 190 0.48%12 M 10 0.03% 13 0.03% 4 0.01% 198 0.50%13 ICSE 16 0.04% 29 0.07% 12 0.03% 223 0.56%14 F 7 0.02% 9 0.02% 4 0.01% 92 0.23%15 M 9 0.02% 20 0.05% 8 0.02% 131 0.33%16 Not Applicable 952 2.40% 1510 3.81% 2905 7.33% 6623 16.71%17 F 421 1.06% 686 1.73% 1328 3.35% 2999 7.57%


42C SEX-WISE DISTRIBUTION OF THE EDUCATIONAL INSTITUTIONS PREFERRED BY THE AGE GROUP OF 26-35 YEARS (Continuied)


No Row Labels value % value % value %18 M 531 1.34% 824 2.08% 1577 3.98% 3624 9.15%19 No Data 642 1.62% 253 0.64% 128 0.32% 3077 7.76%20 F 306 0.77% 120 0.30% 63 0.16% 1500 3.79%21 M 336 0.85% 133 0.34% 65 0.16% 1577 3.98%

Grand Total 5287 13.34% 9555 24.11% 7436 18.76% 39628 100.00%

43 EMPLOYMENT SECTORS

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %

1 State government Direct 320 0.15% 683 0.31% 775 0.36% 1190 0.55% 815 0.37%

2 F 157 0.07% 249 0.11% 308 0.14% 510 0.23% 315 0.14%3 M 163 0.07% 434 0.20% 467 0.21% 680 0.31% 500 0.23%4 Public Sector 70 0.03% 183 0.08% 166 0.08% 243 0.11% 355 0.16%5 F 39 0.02% 98 0.04% 83 0.04% 116 0.05% 142 0.07%6 M 31 0.01% 85 0.04% 83 0.04% 127 0.06% 213 0.10%7 Private Sector 515 0.24% 948 0.44% 1040 0.48% 1306 0.60% 1172 0.54%8 F 202 0.09% 397 0.18% 402 0.18% 513 0.24% 525 0.24%9 M 313 0.14% 551 0.25% 638 0.29% 793 0.36% 647 0.30%

10 Private Service Sector 98 0.04% 150 0.07% 62 0.03% 75 0.03% 197 0.09%11 F 46 0.02% 61 0.03% 32 0.01% 33 0.02% 87 0.04%12 M 52 0.02% 89 0.04% 30 0.01% 42 0.02% 110 0.05%13 Self-Employed 5739 2.63% 5139 2.36% 985 0.45% 1216 0.56% 6809 3.13%14 F 1595 0.73% 1157 0.53% 178 0.08% 253 0.12% 1804 0.83%15 M 4144 1.90% 3982 1.83% 807 0.37% 963 0.44% 5005 2.30%16 Employed in other

states 145 0.07% 208 0.10% 80 0.04% 75 0.03% 200 0.09%17 F 62 0.03% 92 0.04% 26 0.01% 29 0.01% 86 0.04%18 M 83 0.04% 116 0.05% 54 0.02% 46 0.02% 114 0.05%19 Gulf Countries 906 0.42% 1580 0.73% 336 0.15% 313 0.14% 2411 1.11%20 F 84 0.04% 229 0.11% 63 0.03% 66 0.03% 253 0.12%21 M 822 0.38% 1351 0.62% 273 0.13% 247 0.11% 2158 0.99%22 Europe 34 0.02% 278 0.13% 35 0.02% 21 0.01% 94 0.04%23 F 12 0.01% 99 0.05% 15 0.01% 11 0.01% 33 0.02%24 M 22 0.01% 179 0.08% 20 0.01% 10 0.00% 61 0.03%25 Other Foreign

Countries 130 0.06% 369 0.17% 91 0.04% 106 0.05% 256 0.12%26 F 71 0.03% 150 0.07% 32 0.01% 35 0.02% 92 0.04%27 M 59 0.03% 219 0.10% 59 0.03% 71 0.03% 164 0.08%28 Not Applicable 9602 4.41% 13134 6.03% 4433 2.04% 5097 2.34% 17602 8.08%29 F 6170 2.83% 8333 3.83% 2859 1.31% 3228 1.48% 11194 5.14%30 M 3432 1.58% 4801 2.20% 1574 0.72% 1869 0.86% 6408 2.94%31 No Data 2226 1.02% 5519 2.53% 873 0.40% 3024 1.39% 2395 1.10%32 F 1145 0.53% 2942 1.35% 458 0.21% 1524 0.70% 1300 0.60%33 M 1081 0.50% 2577 1.18% 415 0.19% 1500 0.69% 1095 0.50%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

43 EMPLOYMENT SECTORS (Continuied)


No Row Labels value % value % value %1 State government Direct 687 0.32% 986 0.45% 454 0.21% 5910 2.71%2 F 272 0.12% 373 0.17% 215 0.10% 2399 1.10%3 M 415 0.19% 613 0.28% 239 0.11% 3511 1.61%4 Public Sector 123 0.06% 207 0.10% 113 0.05% 1460 0.67%5 F 61 0.03% 101 0.05% 71 0.03% 711 0.33%6 M 62 0.03% 106 0.05% 42 0.02% 749 0.34%7 Private Sector 509 0.23% 794 0.36% 867 0.40% 7151 3.28%8 F 207 0.10% 329 0.15% 285 0.13% 2860 1.31%9 M 302 0.14% 465 0.21% 582 0.27% 4291 1.97%


43 EMPLOYMENT SECTORS (Continuied)


No Row Labels value % value % value %10 Private Service Sector 112 0.05% 210 0.10% 150 0.07% 1054 0.48%11 F 59 0.03% 90 0.04% 61 0.03% 469 0.22%12 M 53 0.02% 120 0.06% 89 0.04% 585 0.27%13 Self-Employed 7206 3.31% 13175 6.05% 8923 4.10% 49192 22.58%14 F 1226 0.56% 3039 1.40% 611 0.28% 9863 4.53%15 M 5980 2.75% 10136 4.65% 8312 3.82% 39329 18.06%16 Employed in other states 229 0.11% 353 0.16% 384 0.18% 1674 0.77%17 F 105 0.05% 192 0.09% 98 0.04% 690 0.32%18 M 124 0.06% 161 0.07% 286 0.13% 984 0.45%19 Gulf Countries 647 0.30% 2583 1.19% 868 0.40% 9644 4.43%20 F 40 0.02% 131 0.06% 53 0.02% 919 0.42%21 M 607 0.28% 2452 1.13% 815 0.37% 8725 4.01%22 Europe 22 0.01% 33 0.02% 25 0.01% 542 0.25%23 F 5 0.00% 7 0.00% 4 0.00% 186 0.09%24 M 17 0.01% 26 0.01% 21 0.01% 356 0.16%25 Other Foreign Countries 91 0.04% 244 0.11% 209 0.10% 1496 0.69%26 F 27 0.01% 89 0.04% 90 0.04% 586 0.27%27 M 64 0.03% 155 0.07% 119 0.05% 910 0.42%28 Not Applicable 15598 7.16% 28856 13.25% 25792 11.84% 120114 55.14%29 F 9937 4.56% 18275 8.39% 16530 7.59% 76526 35.13%30 M 5661 2.60% 10581 4.86% 9262 4.25% 43588 20.01%31 No Data 2942 1.35% 1545 0.71% 1007 0.46% 19531 8.97%32 F 1576 0.72% 791 0.36% 549 0.25% 10285 4.72%33 M 1366 0.63% 754 0.35% 457 0.21% 9245 4.24%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

43A SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 18-28 YEARS

Anjuthen-gu


thura






Countries 31 0.07% 67 0.16% 19 0.04% 28 0.07% 55 0.13%26 F 13 0.03% 27 0.06% 6 0.01% 10 0.02% 22 0.05%27 M 18 0.04% 40 0.09% 13 0.03% 18 0.04% 33 0.08%28 Not Applicable 1793 4.22% 2447 5.76% 866 2.04% 1054 2.48% 3277 7.72%29 F 1258 2.96% 1580 3.72% 503 1.18% 613 1.44% 2108 4.97%


43A SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 18-28 YEARS (Continuied)



10 Private Service Sector 24 0.06% 67 0.16% 51 0.12% 265 0.62%11 F 15 0.04% 36 0.08% 21 0.05% 134 0.32%12 M 9 0.02% 31 0.07% 30 0.07% 131 0.31%13 Self-Employed 1258 2.96% 2143 5.05% 2015 4.75% 8139 19.17%14 F 90 0.21% 310 0.73% 82 0.19% 896 2.11%15 M 1168 2.75% 1833 4.32% 1933 4.55% 7243 17.06%16 Employed in other states 67 0.16% 86 0.20% 120 0.28% 440 1.04%17 F 30 0.07% 50 0.12% 36 0.08% 188 0.44%18 M 37 0.09% 36 0.08% 84 0.20% 252 0.59%19 Gulf Countries 233 0.55% 984 2.32% 229 0.54% 2547 6.00%20 F 12 0.03% 53 0.12% 14 0.03% 215 0.51%21 M 221 0.52% 931 2.19% 215 0.51% 2332 5.49%22 Europe 10 0.02% 13 0.03% 10 0.02% 129 0.30%23 F 2 0.00% 5 0.01% 0.00% 49 0.12%24 M 8 0.02% 8 0.02% 10 0.02% 80 0.19%25 Other Foreign Countries 34 0.08% 81 0.19% 56 0.13% 371 0.87%26 F 10 0.02% 25 0.06% 19 0.04% 132 0.31%27 M 24 0.06% 56 0.13% 37 0.09% 239 0.56%28 Not Applicable 3297 7.77% 6077 14.32% 5123 12.07% 23934 56.38%29 F 2207 5.20% 4088 9.63% 3576 8.42% 15933 37.54%30 M 1090 2.57% 1989 4.69% 1547 3.64% 8001 18.85%31 No Data 583 1.37% 276 0.65% 213 0.50% 3400 8.01%32 F 325 0.77% 144 0.34% 125 0.29% 1844 4.34%33 M 258 0.61% 132 0.31% 88 0.21% 1556 3.67%

Grand Total 5801 13.67% 10240 24.12% 8219 19.36% 42448 100.00%

43A SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 18-28 YEARS (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %30 M 535 1.26% 867 2.04% 363 0.86% 441 1.04% 1169 2.75%31 No Data 363 0.86% 923 2.17% 138 0.33% 531 1.25% 373 0.88%32 F 199 0.47% 500 1.18% 66 0.16% 281 0.66% 204 0.48%33 M 164 0.39% 423 1.00% 72 0.17% 250 0.59% 169 0.40%

Grand Total 3685 8.68% 5023 11.83% 1547 3.64% 2281 5.37% 5652 13.32%

43B SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 29-35 YEARS

Anjuthen-gu


thura




10 Private Service Sector 18 0.07% 29 0.11% 9 0.03% 6 0.02% 27 0.10%


43B SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 29-35 YEARS (Continuied)



10 Private Service Sector 32 0.12% 51 0.19% 37 0.14% 209 0.77%11 F 13 0.05% 19 0.07% 16 0.06% 90 0.33%12 M 19 0.07% 32 0.12% 21 0.08% 119 0.44%13 Self-Employed 1407 5.21% 2594 9.60% 1834 6.79% 9011 33.36%14 F 141 0.52% 457 1.69% 80 0.30% 1237 4.58%15 M 1266 4.69% 2137 7.91% 1754 6.49% 7774 28.78%16 Employed in other states 34 0.13% 50 0.19% 78 0.29% 303 1.12%17 F 16 0.06% 23 0.09% 13 0.05% 100 0.37%18 M 18 0.07% 27 0.10% 65 0.24% 203 0.75%19 Gulf Countries 192 0.71% 732 2.71% 296 1.10% 2584 9.57%20 F 9 0.03% 30 0.11% 20 0.07% 248 0.92%21 M 183 0.68% 702 2.60% 276 1.02% 2336 8.65%22 Europe 8 0.03% 11 0.04% 9 0.03% 164 0.61%23 F 2 0.01% 1 0.00% 2 0.01% 54 0.20%24 M 6 0.02% 10 0.04% 7 0.03% 110 0.41%25 Other Foreign Countries 21 0.08% 49 0.18% 33 0.12% 310 1.15%26 F 6 0.02% 15 0.06% 10 0.04% 97 0.36%27 M 15 0.06% 34 0.13% 23 0.09% 213 0.79%28 Not Applicable 1356 5.02% 2448 9.06% 2266 8.39% 9932 36.77%29 F 1216 4.50% 2180 8.07% 1973 7.30% 8737 32.34%30 M 140 0.52% 268 0.99% 293 1.08% 1195 4.42%31 No Data 289 1.07% 150 0.56% 100 0.37% 1839 6.81%


Anjuthen-gu


thura

No Row Labels value % value % value % value % value %11 F 10 0.04% 12 0.04% 4 0.01% 3 0.01% 13 0.05%12 M 8 0.03% 17 0.06% 5 0.02% 3 0.01% 14 0.05%13 Self-Employed 983 3.64% 893 3.31% 120 0.44% 136 0.50% 1044 3.86%14 F 203 0.75% 140 0.52% 17 0.06% 26 0.10% 173 0.64%15 M 780 2.89% 753 2.79% 103 0.38% 110 0.41% 871 3.22%16 Employed in other

states 31 0.11% 48 0.18% 12 0.04% 18 0.07% 32 0.12%17 F 12 0.04% 16 0.06% 4 0.01% 6 0.02% 10 0.04%18 M 19 0.07% 32 0.12% 8 0.03% 12 0.04% 22 0.08%19 Gulf Countries 231 0.86% 382 1.41% 70 0.26% 74 0.27% 607 2.25%20 F 23 0.09% 49 0.18% 18 0.07% 20 0.07% 79 0.29%21 M 208 0.77% 333 1.23% 52 0.19% 54 0.20% 528 1.95%22 Europe 8 0.03% 81 0.30% 13 0.05% 6 0.02% 28 0.10%23 F 1 0.00% 31 0.11% 5 0.02% 4 0.01% 8 0.03%24 M 7 0.03% 50 0.19% 8 0.03% 2 0.01% 20 0.07%25 Other Foreign Countries 23 0.09% 78 0.29% 25 0.09% 19 0.07% 62 0.23%26 F 15 0.06% 22 0.08% 10 0.04% 2 0.01% 17 0.06%27 M 8 0.03% 56 0.21% 15 0.06% 17 0.06% 45 0.17%28 Not Applicable 772 2.86% 1078 3.99% 254 0.94% 313 1.16% 1445 5.35%29 F 674 2.50% 944 3.49% 223 0.83% 264 0.98% 1263 4.68%30 M 98 0.36% 134 0.50% 31 0.11% 49 0.18% 182 0.67%31 No Data 207 0.77% 565 2.09% 67 0.25% 289 1.07% 172 0.64%32 F 102 0.38% 325 1.20% 42 0.16% 150 0.56% 118 0.44%33 M 105 0.39% 240 0.89% 25 0.09% 139 0.51% 54 0.20%

Grand Total 2431 9.00% 3481 12.89% 884 3.27% 1301 4.82% 3854 14.27%




No Row Labels value % value % value %32 F 161 0.60% 85 0.31% 67 0.25% 1050 3.89%33 M 128 0.47% 65 0.24% 33 0.12% 789 2.92%

Grand Total 3597 13.32% 6478 23.98% 4987 18.46% 27013 100.00%

43C SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 36-60 YEARS

Anjuthen-gu


thura






Countries 43 0.06% 154 0.23% 30 0.05% 35 0.05% 92 0.14%26 F 22 0.03% 65 0.10% 10 0.02% 13 0.02% 31 0.05%27 M 21 0.03% 89 0.13% 20 0.03% 22 0.03% 61 0.09%28 Not Applicable 1838 2.76% 2637 3.96% 1069 1.61% 1161 1.74% 3834 5.76%29 F 1517 2.28% 2226 3.34% 916 1.38% 965 1.45% 3190 4.79%30 M 321 0.48% 411 0.62% 153 0.23% 196 0.29% 644 0.97%31 No Data 463 0.70% 1369 2.06% 280 0.42% 954 1.43% 569 0.85%32 F 271 0.41% 766 1.15% 158 0.24% 498 0.75% 322 0.48%33 M 192 0.29% 603 0.91% 122 0.18% 456 0.68% 247 0.37%

Grand Total 6380 9.58% 8958 13.46% 3327 5.00% 4624 6.95% 11158 16.76%

43C SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 36-60 YEARS (Continuied)



10 Private Service Sector 41 0.06% 72 0.11% 60 0.09% 459 0.69%11 F 24 0.04% 29 0.04% 23 0.03% 202 0.30%


43C SEX-WISE DISTRIBUTION OF EMPLOYMENT SECTORS IN THE AGE GROUP OF 36-60 YEARS (Continuied)


No Row Labels value % value % value %12 M 17 0.03% 43 0.06% 37 0.06% 257 0.39%13 Self-Employed 3881 5.83% 7022 10.55% 4272 6.42% 26919 40.44%14 F 843 1.27% 1883 2.83% 361 0.54% 6413 9.63%15 M 3038 4.56% 5139 7.72% 3911 5.87% 20506 30.80%16 Employed in other states 81 0.12% 118 0.18% 144 0.22% 573 0.86%17 F 40 0.06% 73 0.11% 32 0.05% 232 0.35%18 M 41 0.06% 45 0.07% 112 0.17% 341 0.51%19 Gulf Countries 208 0.31% 834 1.25% 323 0.49% 4235 6.36%20 F 18 0.03% 39 0.06% 13 0.02% 391 0.59%21 M 190 0.29% 795 1.19% 310 0.47% 3844 5.77%22 Europe 4 0.01% 9 0.01% 5 0.01% 205 0.31%23 F 1 0.00% 1 0.00% 1 0.00% 59 0.09%24 M 3 0.00% 8 0.01% 4 0.01% 146 0.22%25 Other Foreign Countries 22 0.03% 44 0.07% 55 0.08% 475 0.71%26 F 5 0.01% 16 0.02% 22 0.03% 184 0.28%27 M 17 0.03% 28 0.04% 33 0.05% 291 0.44%28 Not Applicable 2640 3.97% 4573 6.87% 4745 7.13% 22497 33.79%29 F 2275 3.42% 3997 6.00% 4036 6.06% 19122 28.72%30 M 365 0.55% 576 0.87% 709 1.06% 3375 5.07%31 No Data 566 0.85% 330 0.50% 179 0.27% 4710 7.07%32 F 345 0.52% 175 0.26% 123 0.18% 2658 3.99%33 M 221 0.33% 155 0.23% 56 0.08% 2052 3.08%

Grand Total 7997 12.01% 13757 20.66% 10372 15.58% 66573 100.00%

44 CAREER SECTORS AND POSITIONS

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Gazetted Officer 36 0.02% 65 0.03% 110 0.05% 178 0.08% 70 0.03%2 F 16 0.01% 22 0.01% 41 0.02% 78 0.04% 32 0.01%3 M 20 0.01% 43 0.02% 69 0.03% 100 0.05% 38 0.02%4 Doctor 13 0.01% 34 0.02% 88 0.04% 94 0.04% 39 0.02%5 F 6 0.00% 19 0.01% 44 0.02% 43 0.02% 16 0.01%6 M 7 0.00% 15 0.01% 44 0.02% 51 0.02% 23 0.01%7 Engineer 48 0.02% 147 0.07% 249 0.11% 268 0.12% 195 0.09%8 F 8 0.00% 36 0.02% 62 0.03% 74 0.03% 34 0.02%9 M 40 0.02% 111 0.05% 187 0.09% 194 0.09% 161 0.07%

10 Advocate 17 0.01% 25 0.01% 14 0.01% 28 0.01% 20 0.01%11 F 1 0.00% 8 0.00% 5 0.00% 7 0.00% 7 0.00%12 M 16 0.01% 17 0.01% 9 0.00% 21 0.01% 13 0.01%13 Teacher 149 0.07% 362 0.17% 292 0.13% 396 0.18% 469 0.22%14 F 110 0.05% 265 0.12% 221 0.10% 300 0.14% 366 0.17%15 M 39 0.02% 97 0.04% 71 0.03% 96 0.04% 103 0.05%16 Manager 38 0.02% 94 0.04% 124 0.06% 187 0.09% 161 0.07%17 F 10 0.00% 19 0.01% 19 0.01% 36 0.02% 20 0.01%18 M 28 0.01% 75 0.03% 105 0.05% 151 0.07% 141 0.06%19 Accountant 58 0.03% 173 0.08% 135 0.06% 120 0.06% 195 0.09%20 F 13 0.01% 41 0.02% 36 0.02% 43 0.02% 51 0.02%21 M 45 0.02% 132 0.06% 99 0.05% 77 0.04% 144 0.07%22 IT Professional 102 0.05% 220 0.10% 138 0.06% 165 0.08% 284 0.13%23 F 16 0.01% 37 0.02% 33 0.02% 57 0.03% 55 0.03%24 M 86 0.04% 183 0.08% 105 0.05% 108 0.05% 229 0.11%25 Nurse 62 0.03% 159 0.07% 116 0.05% 78 0.04% 171 0.08%26 F 55 0.03% 123 0.06% 100 0.05% 62 0.03% 148 0.07%27 M 7 0.00% 36 0.02% 16 0.01% 16 0.01% 23 0.01%28 Clerk 104 0.05% 234 0.11% 180 0.08% 281 0.13% 285 0.13%29 F 56 0.03% 117 0.05% 93 0.04% 130 0.06% 130 0.06%30 M 48 0.02% 117 0.05% 87 0.04% 151 0.07% 155 0.07%31 Peon 23 0.01% 63 0.03% 31 0.01% 59 0.03% 65 0.03%32 F 12 0.01% 25 0.01% 12 0.01% 27 0.01% 29 0.01%33 M 11 0.01% 38 0.02% 19 0.01% 32 0.01% 36 0.02%


44 CAREER SECTORS AND POSITIONS (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %34 Class IV 43 0.02% 47 0.02% 33 0.02% 59 0.03% 70 0.03%35 F 22 0.01% 23 0.01% 21 0.01% 35 0.02% 30 0.01%36 M 21 0.01% 24 0.01% 12 0.01% 24 0.01% 40 0.02%37 Priest 14 0.01% 10 0.00% 5 0.00% 0.00% 18 0.01%40 Nun 22 0.01% 17 0.01% 4 0.00% 4 0.00% 16 0.01%43 Police 6 0.00% 23 0.01% 22 0.01% 51 0.02% 28 0.01%44 F 1 0.00% 3 0.00% 0.00% 5 0.00% 4 0.00%45 M 5 0.00% 20 0.01% 22 0.01% 46 0.02% 24 0.01%46 Jawan 11 0.01% 25 0.01% 15 0.01% 21 0.01% 32 0.01%47 F 1 0.00% 2 0.00% 0.00% 4 0.00% 0.00%48 M 10 0.00% 23 0.01% 15 0.01% 17 0.01% 32 0.01%49 Media Person 3 0.00% 8 0.00% 10 0.00% 9 0.00% 2 0.00%50 F 0.00% 4 0.00% 3 0.00% 3 0.00% 0.00%51 M 3 0.00% 4 0.00% 7 0.00% 6 0.00% 2 0.00%52 Artist 5 0.00% 18 0.01% 6 0.00% 17 0.01% 12 0.01%53 F 2 0.00% 8 0.00% 1 0.00% 6 0.00% 4 0.00%54 M 3 0.00% 10 0.00% 5 0.00% 11 0.01% 8 0.00%55 Sports person 6 0.00% 7 0.00% 3 0.00% 2 0.00% 13 0.01%56 F 5 0.00% 3 0.00% 1 0.00% 0.00% 3 0.00%57 M 1 0.00% 4 0.00% 2 0.00% 2 0.00% 10 0.00%58 Technically Skilled 181 0.08% 451 0.21% 236 0.11% 298 0.14% 703 0.32%59 F 22 0.01% 64 0.03% 41 0.02% 60 0.03% 69 0.03%60 M 159 0.07% 387 0.18% 195 0.09% 238 0.11% 634 0.29%61 Unskilled 67 0.03% 149 0.07% 67 0.03% 64 0.03% 228 0.10%62 F 9 0.00% 26 0.01% 21 0.01% 20 0.01% 31 0.01%63 M 58 0.03% 123 0.06% 46 0.02% 44 0.02% 197 0.09%64 Artisan 27 0.01% 37 0.02% 12 0.01% 26 0.01% 35 0.02%65 F 8 0.00% 20 0.01% 3 0.00% 9 0.00% 8 0.00%66 M 19 0.01% 17 0.01% 9 0.00% 17 0.01% 27 0.01%67 Driver 241 0.11% 348 0.16% 162 0.07% 144 0.07% 452 0.21%68 F 12 0.01% 20 0.01% 1 0.00% 4 0.00% 8 0.00%69 M 229 0.11% 328 0.15% 161 0.07% 140 0.06% 444 0.20%70 Fisherman 3606 1.66% 2905 1.33% 4 0.00% 10 0.00% 3227 1.48%71 F 312 0.14% 183 0.08% 1 0.00% 2 0.00% 252 0.12%72 M 3294 1.51% 2722 1.25% 3 0.00% 8 0.00% 2975 1.37%73 Fish Vending 887 0.41% 555 0.25% 7 0.00% 15 0.01% 1031 0.47%74 F 755 0.35% 426 0.20% 4 0.00% 4 0.00% 891 0.41%75 M 132 0.06% 129 0.06% 3 0.00% 11 0.01% 140 0.06%76 Coolie worker 831 0.38% 1117 0.51% 534 0.25% 546 0.25% 2074 0.95%77 F 189 0.09% 230 0.11% 56 0.03% 93 0.04% 350 0.16%78 M 642 0.29% 887 0.41% 478 0.22% 453 0.21% 1724 0.79%79 Self- Employed 482 0.22% 701 0.32% 355 0.16% 548 0.25% 943 0.43%80 F 231 0.11% 263 0.12% 96 0.04% 138 0.06% 300 0.14%81 M 251 0.12% 438 0.20% 259 0.12% 410 0.19% 643 0.30%82 House manager 1669 0.77% 2223 1.02% 634 0.29% 784 0.36% 3663 1.68%83 F 1601 0.74% 2134 0.98% 604 0.28% 748 0.34% 3534 1.62%84 M 68 0.03% 89 0.04% 30 0.01% 36 0.02% 129 0.06%85 Ex- Servicemen 84 0.04% 161 0.07% 51 0.02% 61 0.03% 111 0.05%86 F 43 0.02% 72 0.03% 17 0.01% 20 0.01% 38 0.02%87 M 41 0.02% 89 0.04% 34 0.02% 41 0.02% 73 0.03%88 Pensioner 377 0.17% 555 0.25% 406 0.19% 470 0.22% 592 0.27%89 F 189 0.09% 185 0.08% 177 0.08% 190 0.09% 239 0.11%90 M 188 0.09% 370 0.17% 229 0.11% 280 0.13% 353 0.16%91 Others 2913 1.34% 4531 2.08% 684 0.31% 781 0.36% 2039 0.94%92 F 1665 0.76% 2658 1.22% 363 0.17% 355 0.16% 971 0.45%93 M 1248 0.57% 1873 0.86% 321 0.15% 426 0.20% 1068 0.49%94 Jobless /Unemployed 4733 2.17% 6674 3.06% 3007 1.38% 3603 1.65% 11483 5.27%95 F 2725 1.25% 3658 1.68% 1789 0.82% 2111 0.97% 6376 2.93%96 M 2008 0.92% 3016 1.38% 1218 0.56% 1492 0.68% 5107 2.34%




No Row Labels value % value % value %1 Gazetted Officer 47 0.02% 86 0.04% 41 0.02% 633 0.29%2 F 15 0.01% 32 0.01% 14 0.01% 250 0.11%3 M 32 0.01% 54 0.02% 27 0.01% 383 0.18%4 Doctor 16 0.01% 16 0.01% 30 0.01% 330 0.15%5 F 7 0.00% 6 0.00% 20 0.01% 161 0.07%6 M 9 0.00% 10 0.00% 10 0.00% 169 0.08%7 Engineer 70 0.03% 93 0.04% 292 0.13% 1362 0.63%8 F 10 0.00% 12 0.01% 59 0.03% 295 0.14%9 M 60 0.03% 81 0.04% 233 0.11% 1067 0.49%

10 Advocate 3 0.00% 15 0.01% 15 0.01% 137 0.06%11 F 1 0.00% 2 0.00% 5 0.00% 36 0.02%12 M 2 0.00% 13 0.01% 10 0.00% 101 0.05%13 Teacher 276 0.13% 420 0.19% 476 0.22% 2840 1.30%14 F 165 0.08% 253 0.12% 327 0.15% 2007 0.92%15 M 111 0.05% 167 0.08% 149 0.07% 833 0.38%16 Manager 43 0.02% 62 0.03% 87 0.04% 796 0.37%17 F 9 0.00% 8 0.00% 2 0.00% 123 0.06%18 M 34 0.02% 54 0.02% 85 0.04% 673 0.31%19 Accountant 49 0.02% 111 0.05% 132 0.06% 973 0.45%20 F 13 0.01% 21 0.01% 31 0.01% 249 0.11%21 M 36 0.02% 90 0.04% 101 0.05% 724 0.33%22 IT Professional 100 0.05% 212 0.10% 174 0.08% 1395 0.64%23 F 17 0.01% 26 0.01% 16 0.01% 257 0.12%24 M 83 0.04% 186 0.09% 158 0.07% 1138 0.52%25 Nurse 85 0.04% 155 0.07% 64 0.03% 890 0.41%26 F 67 0.03% 138 0.06% 53 0.02% 746 0.34%27 M 18 0.01% 17 0.01% 11 0.01% 144 0.07%28 Clerk 155 0.07% 236 0.11% 71 0.03% 1546 0.71%29 F 82 0.04% 111 0.05% 37 0.02% 756 0.35%30 M 73 0.03% 125 0.06% 34 0.02% 790 0.36%31 Peon 37 0.02% 40 0.02% 12 0.01% 330 0.15%32 F 13 0.01% 13 0.01% 3 0.00% 134 0.06%33 M 24 0.01% 27 0.01% 9 0.00% 196 0.09%34 Class IV 63 0.03% 136 0.06% 35 0.02% 486 0.22%35 F 26 0.01% 65 0.03% 18 0.01% 240 0.11%36 M 37 0.02% 71 0.03% 17 0.01% 246 0.11%37 Priest 17 0.01% 89 0.04% 63 0.03% 216 0.10%40 Nun 47 0.02% 80 0.04% 97 0.04% 287 0.13%43 Police 41 0.02% 64 0.03% 19 0.01% 254 0.12%44 F 4 0.00% 7 0.00% 4 0.00% 28 0.01%45 M 37 0.02% 57 0.03% 15 0.01% 226 0.10%46 Jawan 27 0.01% 105 0.05% 40 0.02% 276 0.13%47 F 2 0.00% 4 0.00% 2 0.00% 15 0.01%48 M 25 0.01% 101 0.05% 38 0.02% 261 0.12%49 Media Person 3 0.00% 9 0.00% 25 0.01% 69 0.03%50 F 1 0.00% 0.00% 6 0.00% 17 0.01%51 M 2 0.00% 9 0.00% 19 0.01% 52 0.02%52 Artist 6 0.00% 20 0.01% 4 0.00% 88 0.04%


Anjuthen-gu


thura

No Row Labels value % value % value % value % value %97 No Data 2929 1.34% 6053 2.78% 1142 0.52% 3299 1.51% 3605 1.66%98 F 1472 0.68% 3099 1.42% 588 0.27% 1651 0.76% 1837 0.84%99 M 1457 0.67% 2954 1.36% 554 0.25% 1648 0.76% 1768 0.81%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%




No Row Labels value % value % value %53 F 1 0.00% 6 0.00% 3 0.00% 31 0.01%54 M 5 0.00% 14 0.01% 1 0.00% 57 0.03%55 Sports person 4 0.00% 24 0.01% 25 0.01% 84 0.04%56 F 2 0.00% 3 0.00% 8 0.00% 25 0.01%57 M 2 0.00% 21 0.01% 17 0.01% 59 0.03%58 Technically Skilled 164 0.08% 446 0.20% 100 0.05% 2579 1.18%59 F 11 0.01% 32 0.01% 3 0.00% 302 0.14%60 M 153 0.07% 414 0.19% 97 0.04% 2277 1.05%61 Unskilled 39 0.02% 217 0.10% 14 0.01% 845 0.39%62 F 13 0.01% 25 0.01% 5 0.00% 150 0.07%63 M 26 0.01% 192 0.09% 9 0.00% 695 0.32%64 Artisan 19 0.01% 56 0.03% 25 0.01% 237 0.11%65 F 6 0.00% 19 0.01% 15 0.01% 88 0.04%66 M 13 0.01% 37 0.02% 10 0.00% 149 0.07%67 Driver 218 0.10% 301 0.14% 104 0.05% 1970 0.90%68 F 8 0.00% 6 0.00% 0.00% 59 0.03%69 M 210 0.10% 295 0.14% 104 0.05% 1911 0.88%70 Fisherman 5138 2.36% 9318 4.28% 8676 3.98% 32884 15.10%71 F 234 0.11% 305 0.14% 100 0.05% 1389 0.64%72 M 4904 2.25% 9013 4.14% 8576 3.94% 31495 14.46%73 Fish Vending 731 0.34% 1626 0.75% 409 0.19% 5261 2.42%74 F 517 0.24% 1332 0.61% 283 0.13% 4212 1.93%75 M 214 0.10% 294 0.13% 126 0.06% 1049 0.48%76 Coolie worker 1064 0.49% 1498 0.69% 347 0.16% 8011 3.68%77 F 149 0.07% 254 0.12% 45 0.02% 1366 0.63%78 M 915 0.42% 1244 0.57% 302 0.14% 6645 3.05%79 Self- Employed 672 0.31% 1221 0.56% 420 0.19% 5342 2.45%80 F 317 0.15% 637 0.29% 163 0.07% 2145 0.98%81 M 355 0.16% 584 0.27% 257 0.12% 3197 1.47%82 House manager 3219 1.48% 6795 3.12% 2758 1.27% 21745 9.98%83 F 3132 1.44% 6635 3.05% 2689 1.23% 21077 9.68%84 M 87 0.04% 160 0.07% 69 0.03% 668 0.31%85 Ex- Servicemen 70 0.03% 203 0.09% 17 0.01% 758 0.35%86 F 28 0.01% 76 0.03% 3 0.00% 297 0.14%87 M 42 0.02% 127 0.06% 14 0.01% 461 0.21%88 Pensioner 356 0.16% 677 0.31% 159 0.07% 3592 1.65%89 F 155 0.07% 291 0.13% 60 0.03% 1486 0.68%90 M 201 0.09% 386 0.18% 99 0.05% 2106 0.97%91 Others 2867 1.32% 4364 2.00% 865 0.40% 19044 8.74%92 F 1684 0.77% 2358 1.08% 253 0.12% 10307 4.73%93 M 1183 0.54% 2006 0.92% 612 0.28% 8737 4.01%94 Jobless /Unemployed 8938 4.10% 17976 8.25% 22013 10.11% 78427 36.01%95 F 4968 2.28% 9536 4.38% 13650 6.27% 44813 20.57%96 M 3970 1.82% 8440 3.87% 8362 3.84% 33613 15.43%97 No Data 3609 1.66% 2315 1.06% 1183 0.54% 24135 11.08%98 F 1838 0.84% 1126 0.52% 614 0.28% 12225 5.61%99 M 1771 0.81% 1189 0.55% 569 0.26% 11910 5.47%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

44A SEX-WISE DISTRIBUTION OF CAREER POSITIONS OF THE AGE GROUP 18-28 YEARS

Anjuthen-gu


thura


1 Gazetted Officer 6 0.01% 3 0.01% 5 0.01% 5 0.01% 7 0.02%2 F 2 0.00% 2 0.00% 2 0.00% 5 0.01% 5 0.01%3 M 4 0.01% 1 0.00% 3 0.01% 0.00% 2 0.00%4 Doctor 6 0.01% 8 0.02% 6 0.01% 21 0.05% 9 0.02%5 F 4 0.01% 7 0.02% 2 0.00% 13 0.03% 6 0.01%6 M 2 0.00% 1 0.00% 4 0.01% 8 0.02% 3 0.01%7 Engineer 29 0.07% 57 0.13% 82 0.19% 88 0.21% 83 0.20%


44A SEX-WISE DISTRIBUTION OF CAREER POSITIONS OF THE AGE GROUP 18-28 YEARS (Continuied)

Anjuthen-gu


thura


8 F 4 0.01% 22 0.05% 21 0.05% 35 0.08% 18 0.04%9 M 25 0.06% 35 0.08% 61 0.14% 53 0.12% 65 0.15%

10 Advocate 2 0.00% 5 0.01% 3 0.01% 3 0.01% 3 0.01%11 F 0.00% 4 0.01% 2 0.00% 1 0.00% 2 0.00%12 M 2 0.00% 1 0.00% 1 0.00% 2 0.00% 1 0.00%13 Teacher 38 0.09% 63 0.15% 34 0.08% 40 0.09% 88 0.21%14 F 33 0.08% 54 0.13% 24 0.06% 31 0.07% 76 0.18%15 M 5 0.01% 9 0.02% 10 0.02% 9 0.02% 12 0.03%16 Manager 7 0.02% 8 0.02% 11 0.03% 23 0.05% 29 0.07%17 F 3 0.01% 5 0.01% 2 0.00% 7 0.02% 4 0.01%18 M 4 0.01% 3 0.01% 9 0.02% 16 0.04% 25 0.06%19 Accountant 13 0.03% 42 0.10% 21 0.05% 27 0.06% 48 0.11%20 F 7 0.02% 15 0.04% 9 0.02% 14 0.03% 16 0.04%21 M 6 0.01% 27 0.06% 12 0.03% 13 0.03% 32 0.08%22 IT Professional 36 0.08% 75 0.18% 46 0.11% 74 0.17% 90 0.21%23 F 11 0.03% 21 0.05% 16 0.04% 37 0.09% 27 0.06%24 M 25 0.06% 54 0.13% 30 0.07% 37 0.09% 63 0.15%25 Nurse 42 0.10% 101 0.24% 52 0.12% 38 0.09% 110 0.26%26 F 38 0.09% 79 0.19% 42 0.10% 27 0.06% 96 0.23%27 M 4 0.01% 22 0.05% 10 0.02% 11 0.03% 14 0.03%28 Clerk 23 0.05% 37 0.09% 28 0.07% 38 0.09% 39 0.09%29 F 16 0.04% 23 0.05% 17 0.04% 19 0.04% 23 0.05%30 M 7 0.02% 14 0.03% 11 0.03% 19 0.04% 16 0.04%31 Peon 2 0.00% 5 0.01% 3 0.01% 3 0.01% 3 0.01%32 F 1 0.00% 2 0.00% 1 0.00% 1 0.00% 2 0.00%33 M 1 0.00% 4 0.01% 2 0.00% 2 0.00% 1 0.00%34 Class IV 2 0.00% 3 0.01% 4 0.01% 1 0.00% 3 0.01%35 F 2 0.00% 1 0.00% 1 0.00% 0.00% 2 0.00%36 M 0.00% 2 0.00% 3 0.01% 1 0.00% 1 0.00%37 Priest 6 0.01% 4 0.01% 1 0.00% 0.00% 4 0.01%40 Nun 10 0.02% 12 0.03% 0.00% 2 0.00% 5 0.01%43 Police 0.00% 3 0.01% 3 0.01% 3 0.01% 1 0.00%44 F 0.00% 0.00% 0.00% 0.00% 0.00%45 M 0.00% 3 0.01% 3 0.01% 3 0.01% 1 0.00%46 Jawan 0.00% 1 0.00% 4 0.01% 5 0.01% 5 0.01%47 F 0.00% 0.00% 0.00% 0.00% 0.00%48 M 0.00% 1 0.00% 4 0.01% 5 0.01% 5 0.01%49 Media Person 3 0.01% 2 0.00% 1 0.00% 1 0.00% 1 0.00%50 F 0.00% 1 0.00% 0.00% 1 0.00% 0.00%51 M 3 0.01% 1 0.00% 1 0.00% 0.00% 1 0.00%52 Artist 1 0.00% 3 0.01% 2 0.00% 3 0.01% 1 0.00%53 F 0.00% 1 0.00% 1 0.00% 2 0.00% 1 0.00%54 M 1 0.00% 2 0.00% 1 0.00% 1 0.00% 0.00%55 Sports person 3 0.01% 2 0.00% 0.00% 0.00% 4 0.01%56 F 2 0.00% 1 0.00% 0.00% 0.00% 1 0.00%57 M 1 0.00% 1 0.00% 0.00% 0.00% 3 0.01%58 Technically Skilled 64 0.15% 83 0.20% 32 0.08% 58 0.14% 108 0.25%59 F 9 0.02% 12 0.03% 9 0.02% 15 0.04% 19 0.04%60 M 55 0.13% 71 0.17% 23 0.05% 43 0.10% 89 0.21%61 Unskilled 17 0.04% 30 0.07% 14 0.03% 12 0.03% 41 0.10%62 F 2 0.00% 10 0.02% 7 0.02% 4 0.01% 5 0.01%63 M 15 0.04% 20 0.05% 7 0.02% 8 0.02% 36 0.08%64 Artisan 12 0.03% 9 0.02% 2 0.00% 6 0.01% 7 0.02%65 F 3 0.01% 5 0.01% 1 0.00% 1 0.00% 1 0.00%66 M 9 0.02% 4 0.01% 1 0.00% 5 0.01% 6 0.01%67 Driver 72 0.17% 78 0.18% 17 0.04% 17 0.04% 95 0.22%68 F 2 0.00% 7 0.02% 1 0.00% 0.00% 1 0.00%



Kovalam Pulluvila ThoothurTotal Value Total %

No Row Labels value % value % value %

1 Gazetted Officer 3 0.01% 12 0.03% 12 0.03% 53 0.12%2 F 2 0.00% 4 0.01% 4 0.01% 26 0.06%3 M 1 0.00% 8 0.02% 8 0.02% 27 0.06%4 Doctor 3 0.01% 7 0.02% 7 0.02% 67 0.16%5 F 2 0.00% 3 0.01% 5 0.01% 42 0.10%6 M 1 0.00% 4 0.01% 2 0.00% 25 0.06%7 Engineer 32 0.08% 46 0.11% 152 0.36% 569 1.34%8 F 6 0.01% 8 0.02% 43 0.10% 157 0.37%9 M 26 0.06% 38 0.09% 109 0.26% 412 0.97%

10 Advocate 2 0.00% 2 0.00% 2 0.00% 22 0.05%11 F 1 0.00% 1 0.00% 1 0.00% 12 0.03%12 M 1 0.00% 1 0.00% 1 0.00% 10 0.02%13 Teacher 34 0.08% 73 0.17% 100 0.24% 470 1.11%14 F 23 0.05% 53 0.12% 81 0.19% 375 0.88%15 M 11 0.03% 20 0.05% 19 0.04% 95 0.22%16 Manager 9 0.02% 16 0.04% 15 0.04% 118 0.28%17 F 0.00% 3 0.01% 0.00% 24 0.06%18 M 9 0.02% 13 0.03% 15 0.04% 94 0.22%19 Accountant 15 0.04% 35 0.08% 33 0.08% 234 0.55%20 F 5 0.01% 7 0.02% 10 0.02% 83 0.20%21 M 10 0.02% 28 0.07% 23 0.05% 151 0.36%22 IT Professional 52 0.12% 75 0.18% 71 0.17% 519 1.22%


Anjuthen-gu


thura


69 M 70 0.16% 71 0.17% 16 0.04% 17 0.04% 94 0.22%70 Fisherman 624 1.47% 382 0.90% 0.00% 1 0.00% 291 0.69%71 F 39 0.09% 24 0.06% 0.00% 0.00% 11 0.03%72 M 585 1.38% 358 0.84% 0.00% 1 0.00% 280 0.66%73 Fish Vending 56 0.13% 22 0.05% 0.00% 1 0.00% 25 0.06%74 F 33 0.08% 4 0.01% 0.00% 1 0.00% 6 0.01%75 M 23 0.05% 18 0.04% 0.00% 0.00% 19 0.04%76 Coolie worker 181 0.43% 243 0.57% 69 0.16% 66 0.16% 467 1.10%77 F 19 0.04% 25 0.06% 3 0.01% 8 0.02% 44 0.10%78 M 162 0.38% 218 0.51% 66 0.16% 58 0.14% 423 1.00%79 Self- Employed 94 0.22% 104 0.25% 26 0.06% 52 0.12% 144 0.34%80 F 46 0.11% 35 0.08% 9 0.02% 13 0.03% 47 0.11%81 M 48 0.11% 69 0.16% 17 0.04% 39 0.09% 97 0.23%82 House manager 360 0.85% 355 0.84% 65 0.15% 80 0.19% 606 1.43%83 F 352 0.83% 345 0.81% 63 0.15% 74 0.17% 590 1.39%84 M 8 0.02% 10 0.02% 2 0.00% 6 0.01% 16 0.04%85 Ex- Servicemen 1 0.00% 4 0.01% 1 0.00% 3 0.01% 5 0.01%86 F 1 0.00% 3 0.01% 1 0.00% 2 0.00% 4 0.01%87 M 0.00% 1 0.00% 0.00% 1 0.00% 1 0.00%88 Pensioner 35 0.08% 72 0.17% 6 0.01% 7 0.02% 36 0.08%89 F 13 0.03% 14 0.03% 2 0.00% 2 0.00% 13 0.03%90 M 22 0.05% 58 0.14% 4 0.01% 5 0.01% 23 0.05%91 Others 613 1.44% 955 2.25% 151 0.36% 192 0.45% 448 1.06%92 F 356 0.84% 576 1.36% 64 0.15% 91 0.21% 208 0.49%93 M 257 0.61% 379 0.89% 87 0.20% 101 0.24% 240 0.57%94 Jobless /Unemployed 921 2.17% 1273 3.00% 685 1.61% 827 1.95% 2353 5.54%95 F 584 1.38% 707 1.67% 366 0.86% 453 1.07% 1346 3.17%96 M 337 0.79% 566 1.33% 319 0.75% 374 0.88% 1007 2.37%97 No Data 406 0.96% 979 2.31% 173 0.41% 584 1.38% 493 1.16%98 F 209 0.49% 501 1.18% 89 0.21% 309 0.73% 258 0.61%99 M 197 0.46% 478 1.13% 84 0.20% 275 0.65% 235 0.55%

Grand Total 3685 8.68% 5023 11.83% 1547 3.64% 2281 5.37% 5652 13.32%



Kovalam Pulluvila ThoothurTOTAL VALUE TOTAL %


23 F 10 0.02% 10 0.02% 12 0.03% 144 0.34%24 M 42 0.10% 65 0.15% 59 0.14% 375 0.88%25 Nurse 53 0.12% 116 0.27% 39 0.09% 551 1.30%26 F 43 0.10% 106 0.25% 37 0.09% 468 1.10%27 M 10 0.02% 10 0.02% 2 0.00% 83 0.20%28 Clerk 30 0.07% 50 0.12% 12 0.03% 257 0.61%29 F 18 0.04% 29 0.07% 7 0.02% 152 0.36%30 M 12 0.03% 21 0.05% 5 0.01% 105 0.25%31 Peon 2 0.00% 5 0.01% 1 0.00% 24 0.06%32 F 1 0.00% 2 0.00% 0.00% 10 0.02%33 M 1 0.00% 3 0.01% 1 0.00% 14 0.03%34 Class IV 10 0.02% 20 0.05% 3 0.01% 46 0.11%35 F 3 0.01% 8 0.02% 1 0.00% 18 0.04%36 M 7 0.02% 12 0.03% 2 0.00% 28 0.07%37 Priest 9 0.02% 27 0.06% 25 0.06% 76 0.18%40 Nun 31 0.07% 51 0.12% 43 0.10% 154 0.36%43 Police 3 0.01% 10 0.02% 3 0.01% 26 0.06%44 F 1 0.00% 0.00% 1 0.00% 2 0.00%45 M 2 0.00% 10 0.02% 2 0.00% 24 0.06%46 Jawan 9 0.02% 30 0.07% 4 0.01% 58 0.14%47 F 2 0.00% 1 0.00% 0.00% 3 0.01%48 M 7 0.02% 29 0.07% 4 0.01% 55 0.13%49 Media Person 1 0.00% 4 0.01% 11 0.03% 24 0.06%50 F 0.00% 0.00% 4 0.01% 6 0.01%51 M 1 0.00% 4 0.01% 7 0.02% 18 0.04%52 Artist 2 0.00% 4 0.01% 1 0.00% 17 0.04%53 F 0.00% 0.00% 1 0.00% 6 0.01%54 M 2 0.00% 4 0.01% 0.00% 11 0.03%55 Sports person 2 0.00% 8 0.02% 11 0.03% 30 0.07%56 F 2 0.00% 0.00% 3 0.01% 9 0.02%57 M 0.00% 8 0.02% 8 0.02% 21 0.05%58 Technically Skilled 58 0.14% 157 0.37% 24 0.06% 584 1.38%59 F 6 0.01% 8 0.02% 1 0.00% 79 0.19%60 M 52 0.12% 149 0.35% 23 0.05% 505 1.19%61 Unskilled 12 0.03% 83 0.20% 5 0.01% 214 0.50%62 F 4 0.01% 7 0.02% 2 0.00% 41 0.10%63 M 8 0.02% 76 0.18% 3 0.01% 173 0.41%64 Artisan 7 0.02% 21 0.05% 8 0.02% 72 0.17%65 F 3 0.01% 7 0.02% 6 0.01% 27 0.06%66 M 4 0.01% 14 0.03% 2 0.00% 45 0.11%67 Driver 75 0.18% 86 0.20% 9 0.02% 449 1.06%68 F 2 0.00% 4 0.01% 0.00% 17 0.04%69 M 73 0.17% 82 0.19% 9 0.02% 432 1.02%70 Fisherman 912 2.15% 1654 3.90% 2145 5.05% 6009 14.16%71 F 19 0.04% 33 0.08% 29 0.07% 155 0.37%72 M 893 2.10% 1621 3.82% 2116 4.98% 5854 13.79%73 Fish Vending 40 0.09% 79 0.19% 22 0.05% 245 0.58%74 F 10 0.02% 33 0.08% 4 0.01% 91 0.21%75 M 30 0.07% 46 0.11% 18 0.04% 154 0.36%76 Coolie worker 260 0.61% 413 0.97% 79 0.19% 1778 4.19%77 F 14 0.03% 33 0.08% 8 0.02% 154 0.36%78 M 246 0.58% 380 0.90% 71 0.17% 1624 3.83%79 Self- Employed 140 0.33% 252 0.59% 33 0.08% 845 1.99%80 F 45 0.11% 113 0.27% 16 0.04% 324 0.76%81 M 95 0.22% 139 0.33% 17 0.04% 521 1.23%82 House manager 811 1.91% 1689 3.98% 660 1.55% 4626 10.90%83 F 790 1.86% 1635 3.85% 647 1.52% 4496 10.59%84 M 21 0.05% 54 0.13% 13 0.03% 130 0.31%





85 Ex- Servicemen 1 0.00% 12 0.03% 1 0.00% 28 0.07%86 F 1 0.00% 4 0.01% 0.00% 16 0.04%87 M 0.00% 8 0.02% 1 0.00% 12 0.03%88 Pensioner 34 0.08% 37 0.09% 2 0.00% 229 0.54%89 F 13 0.03% 14 0.03% 1 0.00% 72 0.17%90 M 21 0.05% 23 0.05% 1 0.00% 157 0.37%91 Others 691 1.63% 1190 2.80% 241 0.57% 4481 10.56%92 F 397 0.94% 579 1.36% 51 0.12% 2322 5.47%93 M 294 0.69% 611 1.44% 190 0.45% 2159 5.09%94 Jobless /Unemployed 1834 4.32% 3620 8.53% 4224 9.95% 15737 37.07%95 F 1053 2.48% 2013 4.74% 2905 6.84% 9427 22.21%96 M 781 1.84% 1607 3.79% 1319 3.11% 6310 14.87%97 No Data 624 1.47% 356 0.84% 221 0.52% 3836 9.04%98 F 320 0.75% 174 0.41% 127 0.30% 1987 4.68%99 M 304 0.72% 182 0.43% 94 0.22% 1849 4.36%

Grand Total 5801 13.67% 10240 24.12% 8219 19.36% 42448 100.00%

44B SEX-WISE DISTRIBUTION OF CAREER POSITION OF THE AGE GROUP 29-35 YEARS

Anjuthen-gu


thura


1 Gazetted Officer 9 0.03% 12 0.04% 4 0.01% 6 0.02% 12 0.04%2 F 3 0.01% 3 0.01% 3 0.01% 2 0.01% 4 0.01%3 M 6 0.02% 9 0.03% 1 0.00% 4 0.01% 8 0.03%4 Doctor 0.00% 11 0.04% 12 0.04% 24 0.09% 9 0.03%5 F 0.00% 6 0.02% 7 0.03% 12 0.04% 4 0.01%6 M 0.00% 5 0.02% 5 0.02% 12 0.04% 5 0.02%7 Engineer 4 0.01% 40 0.15% 64 0.24% 55 0.20% 48 0.18%8 F 2 0.01% 6 0.02% 24 0.09% 12 0.04% 9 0.03%9 M 2 0.01% 34 0.13% 40 0.15% 43 0.16% 39 0.14%

10 Advocate 3 0.01% 4 0.01% 1 0.00% 9 0.03% 2 0.01%11 F 0.00% 2 0.01% 0.00% 4 0.01% 1 0.00%12 M 3 0.01% 2 0.01% 1 0.00% 5 0.02% 1 0.00%13 Teacher 37 0.14% 90 0.33% 61 0.23% 73 0.27% 131 0.48%14 F 31 0.11% 71 0.26% 45 0.17% 62 0.23% 113 0.42%15 M 6 0.02% 19 0.07% 16 0.06% 11 0.04% 18 0.07%16 Manager 12 0.04% 20 0.07% 24 0.09% 51 0.19% 35 0.13%17 F 4 0.01% 6 0.02% 3 0.01% 10 0.04% 4 0.01%18 M 8 0.03% 14 0.05% 21 0.08% 41 0.15% 31 0.11%19 Accountant 19 0.07% 36 0.13% 19 0.07% 27 0.10% 58 0.21%20 F 4 0.01% 9 0.03% 4 0.01% 7 0.03% 14 0.05%21 M 15 0.06% 27 0.10% 15 0.06% 20 0.07% 44 0.16%22 IT Professional 38 0.14% 70 0.26% 54 0.20% 61 0.23% 95 0.35%23 F 3 0.01% 9 0.03% 12 0.04% 14 0.05% 16 0.06%24 M 35 0.13% 61 0.23% 42 0.16% 47 0.17% 79 0.29%25 Nurse 7 0.03% 21 0.08% 20 0.07% 10 0.04% 32 0.12%26 F 5 0.02% 16 0.06% 16 0.06% 9 0.03% 26 0.10%27 M 2 0.01% 5 0.02% 4 0.01% 1 0.00% 6 0.02%28 Clerk 17 0.06% 37 0.14% 31 0.11% 41 0.15% 42 0.16%29 F 11 0.04% 19 0.07% 20 0.07% 23 0.09% 19 0.07%30 M 6 0.02% 18 0.07% 11 0.04% 18 0.07% 23 0.09%31 Peon 10 0.04% 14 0.05% 2 0.01% 4 0.01% 6 0.02%32 F 4 0.01% 7 0.03% 0.00% 2 0.01% 2 0.01%33 M 6 0.02% 7 0.03% 2 0.01% 2 0.01% 4 0.01%34 Class IV 5 0.02% 3 0.01% 1 0.00% 6 0.02% 6 0.02%35 F 4 0.01% 1 0.00% 1 0.00% 5 0.02% 2 0.01%36 M 1 0.00% 2 0.01% 0.00% 1 0.00% 4 0.01%37 Priest 3 0.01% 1 0.00% 1 0.00% 0.00% 7 0.03%


44B SEX-WISE DISTRIBUTION OF CAREER POSITION OF THE AGE GROUP 29-35 YEARS (Continuied)Anjuthen-

guPuthuku-

richi Pettah Palayam Valiya-thura


40 Nun 8 0.03% 2 0.01% 0.00% 1 0.00% 5 0.02%43 Police 2 0.01% 4 0.01% 1 0.00% 8 0.03% 7 0.03%44 F 0.00% 3 0.01% 0.00% 2 0.01% 3 0.01%45 M 2 0.01% 1 0.00% 1 0.00% 6 0.02% 4 0.01%46 Jawan 4 0.01% 5 0.02% 2 0.01% 9 0.03% 9 0.03%47 F 1 0.00% 0.00% 0.00% 1 0.00% 0.00%48 M 3 0.01% 5 0.02% 2 0.01% 8 0.03% 9 0.03%49 Media Person 0.00% 2 0.01% 2 0.01% 1 0.00% 0.00%50 F 0.00% 1 0.00% 0.00% 0.00% 0.00%51 M 0.00% 1 0.00% 2 0.01% 1 0.00% 0.00%52 Artist 0.00% 2 0.01% 1 0.00% 4 0.01% 0.00%53 F 0.00% 1 0.00% 0.00% 2 0.01% 0.00%54 M 0.00% 1 0.00% 1 0.00% 2 0.01% 0.00%55 Sports person 1 0.00% 1 0.00% 1 0.00% 1 0.00% 3 0.01%56 F 1 0.00% 1 0.00% 0.00% 0.00% 0.00%57 M 0.00% 0.00% 1 0.00% 1 0.00% 3 0.01%58 Technically Skilled 46 0.17% 117 0.43% 44 0.16% 49 0.18% 158 0.58%59 F 3 0.01% 16 0.06% 11 0.04% 6 0.02% 17 0.06%60 M 43 0.16% 101 0.37% 33 0.12% 43 0.16% 141 0.52%61 Unskilled 16 0.06% 28 0.10% 8 0.03% 9 0.03% 43 0.16%62 F 1 0.00% 2 0.01% 1 0.00% 1 0.00% 4 0.01%63 M 15 0.06% 26 0.10% 7 0.03% 8 0.03% 39 0.14%64 Artisan 5 0.02% 7 0.03% 1 0.00% 4 0.01% 6 0.02%65 F 1 0.00% 2 0.01% 0.00% 2 0.01% 2 0.01%66 M 4 0.01% 5 0.02% 1 0.00% 2 0.01% 4 0.01%67 Driver 50 0.19% 83 0.31% 25 0.09% 21 0.08% 103 0.38%68 F 1 0.00% 5 0.02% 0.00% 2 0.01% 2 0.01%69 M 49 0.18% 78 0.29% 25 0.09% 19 0.07% 101 0.37%70 Fisherman 667 2.47% 508 1.88% 1 0.00% 4 0.01% 474 1.75%71 F 33 0.12% 10 0.04% 0.00% 1 0.00% 14 0.05%72 M 634 2.35% 498 1.84% 1 0.00% 3 0.01% 460 1.70%73 Fish Vending 107 0.40% 41 0.15% 1 0.00% 1 0.00% 48 0.18%74 F 85 0.31% 22 0.08% 0.00% 0.00% 33 0.12%75 M 22 0.08% 19 0.07% 1 0.00% 1 0.00% 15 0.06%76 Coolie worker 168 0.62% 258 0.96% 66 0.24% 70 0.26% 431 1.60%77 F 40 0.15% 49 0.18% 4 0.01% 8 0.03% 63 0.23%78 M 128 0.47% 209 0.77% 62 0.23% 62 0.23% 368 1.36%79 Self- Employed 79 0.29% 130 0.48% 46 0.17% 57 0.21% 157 0.58%80 F 38 0.14% 38 0.14% 13 0.05% 20 0.07% 50 0.19%81 M 41 0.15% 92 0.34% 33 0.12% 37 0.14% 107 0.40%82 House manager 331 1.23% 475 1.76% 88 0.33% 110 0.41% 791 2.93%83 F 322 1.19% 467 1.73% 83 0.31% 103 0.38% 770 2.85%84 M 9 0.03% 8 0.03% 5 0.02% 7 0.03% 21 0.08%85 Ex- Servicemen 1 0.00% 11 0.04% 0.00% 0.00% 8 0.03%86 F 1 0.00% 7 0.03% 0.00% 0.00% 5 0.02%87 M 0.00% 4 0.01% 0.00% 0.00% 3 0.01%88 Pensioner 24 0.09% 76 0.28% 9 0.03% 13 0.05% 22 0.08%89 F 6 0.02% 18 0.07% 8 0.03% 5 0.02% 9 0.03%90 M 18 0.07% 58 0.21% 1 0.00% 8 0.03% 13 0.05%91 Others 329 1.22% 483 1.79% 89 0.33% 97 0.36% 332 1.23%92 F 228 0.84% 356 1.32% 50 0.19% 43 0.16% 150 0.56%93 M 101 0.37% 127 0.47% 39 0.14% 54 0.20% 182 0.67%94 Jobless /Unemployed 222 0.82% 345 1.28% 120 0.44% 167 0.62% 555 2.05%95 F 166 0.61% 242 0.90% 106 0.39% 133 0.49% 414 1.53%96 M 56 0.21% 103 0.38% 14 0.05% 34 0.13% 141 0.52%97 No Data 207 0.77% 544 2.01% 85 0.31% 308 1.14% 219 0.81%98 F 107 0.40% 285 1.06% 50 0.19% 158 0.58% 130 0.48%99 M 100 0.37% 259 0.96% 35 0.13% 150 0.56% 89 0.33%

Grand Total 2431 9.00% 3481 12.89% 884 3.27% 1301 4.82% 3854 14.27%


44B SEX-WISE DISTRIBUTION OF CAREER POSITION OF THE AGE GROUP 29-35 YEARS (Continuied)



1 Gazetted Officer 3 0.01% 13 0.05% 7 0.03% 66 0.24%2 F 0.00% 6 0.02% 1 0.00% 22 0.08%3 M 3 0.01% 7 0.03% 6 0.02% 44 0.16%4 Doctor 3 0.01% 2 0.01% 14 0.05% 75 0.28%5 F 3 0.01% 1 0.00% 9 0.03% 42 0.16%6 M 0.00% 1 0.00% 5 0.02% 33 0.12%7 Engineer 17 0.06% 30 0.11% 83 0.31% 341 1.26%8 F 3 0.01% 2 0.01% 10 0.04% 68 0.25%9 M 14 0.05% 28 0.10% 73 0.27% 273 1.01%

10 Advocate 0.00% 4 0.01% 5 0.02% 28 0.10%11 F 0.00% 1 0.00% 3 0.01% 11 0.04%12 M 0.00% 3 0.01% 2 0.01% 17 0.06%13 Teacher 77 0.29% 119 0.44% 97 0.36% 685 2.54%14 F 48 0.18% 76 0.28% 66 0.24% 512 1.90%15 M 29 0.11% 43 0.16% 31 0.11% 173 0.64%16 Manager 15 0.06% 16 0.06% 34 0.13% 207 0.77%17 F 4 0.01% 1 0.00% 1 0.00% 33 0.12%18 M 11 0.04% 15 0.06% 33 0.12% 174 0.64%19 Accountant 14 0.05% 27 0.10% 38 0.14% 238 0.88%20 F 2 0.01% 6 0.02% 10 0.04% 56 0.21%21 M 12 0.04% 21 0.08% 28 0.10% 182 0.67%22 IT Professional 30 0.11% 81 0.30% 64 0.24% 493 1.83%23 F 5 0.02% 7 0.03% 2 0.01% 68 0.25%24 M 25 0.09% 74 0.27% 62 0.23% 425 1.57%25 Nurse 10 0.04% 20 0.07% 15 0.06% 135 0.50%26 F 8 0.03% 17 0.06% 11 0.04% 108 0.40%27 M 2 0.01% 3 0.01% 4 0.01% 27 0.10%28 Clerk 31 0.11% 38 0.14% 15 0.06% 252 0.93%29 F 12 0.04% 20 0.07% 10 0.04% 134 0.50%30 M 19 0.07% 18 0.07% 5 0.02% 118 0.44%31 Peon 6 0.02% 5 0.02% 0.00% 47 0.17%32 F 4 0.01% 3 0.01% 0.00% 22 0.08%33 M 2 0.01% 2 0.01% 0.00% 25 0.09%34 Class IV 6 0.02% 4 0.01% 0.00% 31 0.11%35 F 1 0.00% 2 0.01% 0.00% 16 0.06%36 M 5 0.02% 2 0.01% 0.00% 15 0.06%37 Priest 4 0.01% 32 0.12% 16 0.06% 64 0.24%40 Nun 11 0.04% 15 0.06% 31 0.11% 73 0.27%43 Police 8 0.03% 16 0.06% 6 0.02% 52 0.19%44 F 2 0.01% 4 0.01% 1 0.00% 15 0.06%45 M 6 0.02% 12 0.04% 5 0.02% 37 0.14%46 Jawan 7 0.03% 29 0.11% 14 0.05% 79 0.29%47 F 0.00% 1 0.00% 1 0.00% 4 0.01%48 M 7 0.03% 28 0.10% 13 0.05% 75 0.28%49 Media Person 1 0.00% 4 0.01% 9 0.03% 19 0.07%50 F 1 0.00% 0.00% 0.00% 2 0.01%51 M 0.00% 4 0.01% 9 0.03% 17 0.06%52 Artist 0.00% 4 0.01% 3 0.01% 14 0.05%53 F 0.00% 0.00% 2 0.01% 5 0.02%54 M 0.00% 4 0.01% 1 0.00% 9 0.03%55 Sports person 2 0.01% 6 0.02% 5 0.02% 20 0.07%56 F 0.00% 0.00% 0.00% 2 0.01%57 M 2 0.01% 6 0.02% 5 0.02% 18 0.07%58 Technically Skilled 33 0.12% 120 0.44% 36 0.13% 603 2.23%59 F 1 0.00% 6 0.02% 0.00% 60 0.22%60 M 32 0.12% 114 0.42% 36 0.13% 543 2.01%61 Unskilled 6 0.02% 50 0.19% 3 0.01% 163 0.60%


44B SEX-WISE DISTRIBUTION OF CAREER POSITION OF THE AGE GROUP 29-35 YEARS (Continuied)



62 F 2 0.01% 3 0.01% 1 0.00% 15 0.06%63 M 4 0.01% 47 0.17% 2 0.01% 148 0.55%64 Artisan 3 0.01% 9 0.03% 7 0.03% 42 0.16%65 F 1 0.00% 3 0.01% 5 0.02% 16 0.06%66 M 2 0.01% 6 0.02% 2 0.01% 26 0.10%67 Driver 50 0.19% 105 0.39% 39 0.14% 476 1.76%68 F 1 0.00% 0.00% 0.00% 11 0.04%69 M 49 0.18% 105 0.39% 39 0.14% 465 1.72%70 Fisherman 1095 4.05% 1936 7.17% 1813 6.71% 6498 24.06%71 F 28 0.10% 45 0.17% 10 0.04% 141 0.52%72 M 1067 3.95% 1891 7.00% 1803 6.67% 6357 23.53%73 Fish Vending 67 0.25% 183 0.68% 29 0.11% 477 1.77%74 F 25 0.09% 126 0.47% 8 0.03% 299 1.11%75 M 42 0.16% 57 0.21% 21 0.08% 178 0.66%76 Coolie worker 212 0.78% 368 1.36% 79 0.29% 1652 6.12%77 F 26 0.10% 62 0.23% 5 0.02% 257 0.95%78 M 186 0.69% 306 1.13% 74 0.27% 1395 5.16%79 Self- Employed 136 0.50% 265 0.98% 83 0.31% 953 3.53%80 F 55 0.20% 124 0.46% 25 0.09% 363 1.34%81 M 81 0.30% 141 0.52% 58 0.21% 590 2.18%82 House manager 758 2.81% 1594 5.90% 647 2.40% 4794 17.75%83 F 746 2.76% 1570 5.81% 630 2.33% 4691 17.37%84 M 12 0.04% 24 0.09% 17 0.06% 103 0.38%85 Ex- Servicemen 3 0.01% 9 0.03% 0.00% 32 0.12%86 F 2 0.01% 5 0.02% 0.00% 20 0.07%87 M 1 0.00% 4 0.01% 0.00% 12 0.04%88 Pensioner 18 0.07% 32 0.12% 1 0.00% 195 0.72%89 F 5 0.02% 9 0.03% 1 0.00% 61 0.23%90 M 13 0.05% 23 0.09% 0.00% 134 0.50%91 Others 291 1.08% 489 1.81% 200 0.74% 2310 8.55%92 F 198 0.73% 274 1.01% 41 0.15% 1340 4.96%93 M 93 0.34% 215 0.80% 159 0.59% 970 3.59%94 Jobless /Unemployed 387 1.43% 698 2.58% 1505 5.57% 3999 14.80%95 F 321 1.19% 498 1.84% 1363 5.05% 3243 12.01%96 M 66 0.24% 200 0.74% 142 0.53% 756 2.80%97 No Data 293 1.08% 155 0.57% 89 0.33% 1900 7.03%98 F 155 0.57% 82 0.30% 50 0.19% 1017 3.76%99 M 138 0.51% 73 0.27% 39 0.14% 883 3.27%

Grand Total 3597 13.32% 6478 23.98% 4987 18.46% 100.00%

44C SEX-WISE DISTRIBUTION OF CAREER POSITION OF THE AGE GROUP 36-60 YEARS (Continuied)

Anjuthen-gu


thura


1 Gazetted Officer 12 0.02% 26 0.04% 87 0.13% 117 0.18% 34 0.05%2 F 9 0.01% 7 0.01% 35 0.05% 54 0.08% 15 0.02%3 M 3 0.00% 19 0.03% 52 0.08% 63 0.09% 19 0.03%4 Doctor 6 0.01% 12 0.02% 52 0.08% 45 0.07% 17 0.03%5 F 2 0.00% 4 0.01% 27 0.04% 17 0.03% 4 0.01%6 M 4 0.01% 8 0.01% 25 0.04% 28 0.04% 13 0.02%7 Engineer 13 0.02% 39 0.06% 72 0.11% 109 0.16% 57 0.09%8 F 1 0.00% 5 0.01% 11 0.02% 25 0.04% 6 0.01%9 M 12 0.02% 34 0.05% 61 0.09% 84 0.13% 51 0.08%

10 Advocate 12 0.02% 13 0.02% 9 0.01% 13 0.02% 13 0.02%11 F 1 0.00% 2 0.00% 3 0.00% 2 0.00% 3 0.00%12 M 11 0.02% 11 0.02% 6 0.01% 11 0.02% 10 0.02%13 Teacher 60 0.09% 179 0.27% 163 0.24% 242 0.36% 211 0.32%14 F 41 0.06% 123 0.18% 131 0.20% 184 0.28% 158 0.24%



Anjuthen-gu


thura


15 M 19 0.03% 56 0.08% 32 0.05% 58 0.09% 53 0.08%16 Manager 18 0.03% 51 0.08% 74 0.11% 98 0.15% 89 0.13%17 F 2 0.00% 6 0.01% 11 0.02% 18 0.03% 10 0.02%18 M 16 0.02% 45 0.07% 63 0.09% 80 0.12% 79 0.12%19 Accountant 24 0.04% 87 0.13% 87 0.13% 59 0.09% 81 0.12%20 F 2 0.00% 15 0.02% 21 0.03% 22 0.03% 21 0.03%21 M 22 0.03% 72 0.11% 66 0.10% 37 0.06% 60 0.09%22 IT Professional 25 0.04% 69 0.10% 36 0.05% 26 0.04% 87 0.13%23 F 1 0.00% 4 0.01% 5 0.01% 4 0.01% 8 0.01%24 M 24 0.04% 65 0.10% 31 0.05% 22 0.03% 79 0.12%25 Nurse 12 0.02% 28 0.04% 37 0.06% 23 0.03% 28 0.04%26 F 11 0.02% 22 0.03% 35 0.05% 19 0.03% 25 0.04%27 M 1 0.00% 6 0.01% 2 0.00% 4 0.01% 3 0.00%28 Clerk 41 0.06% 119 0.18% 96 0.14% 161 0.24% 140 0.21%29 F 20 0.03% 51 0.08% 43 0.06% 75 0.11% 58 0.09%30 M 21 0.03% 68 0.10% 53 0.08% 86 0.13% 82 0.12%31 Peon 11 0.02% 30 0.05% 23 0.03% 43 0.06% 44 0.07%32 F 7 0.01% 12 0.02% 10 0.02% 20 0.03% 20 0.03%33 M 4 0.01% 18 0.03% 13 0.02% 23 0.03% 24 0.04%34 Class IV 7 0.01% 24 0.04% 26 0.04% 45 0.07% 23 0.03%35 F 3 0.00% 12 0.02% 17 0.03% 28 0.04% 8 0.01%36 M 4 0.01% 12 0.02% 9 0.01% 17 0.03% 15 0.02%37 Priest 2 0.00% 3 0.00% 3 0.00% 0.00% 7 0.01%40 Nun 2 0.00% 3 0.00% 4 0.01% 0.00% 6 0.01%43 Police 3 0.00% 14 0.02% 17 0.03% 38 0.06% 18 0.03%44 F 1 0.00% 0.00% 0.00% 3 0.00% 1 0.00%45 M 2 0.00% 14 0.02% 17 0.03% 35 0.05% 17 0.03%46 Jawan 4 0.01% 15 0.02% 8 0.01% 4 0.01% 12 0.02%47 F 0.00% 2 0.00% 0.00% 1 0.00% 0.00%48 M 4 0.01% 13 0.02% 8 0.01% 3 0.00% 12 0.02%49 Media Person 0.00% 3 0.00% 6 0.01% 6 0.01% 1 0.00%50 F 0.00% 1 0.00% 2 0.00% 1 0.00% 0.00%51 M 0.00% 2 0.00% 4 0.01% 5 0.01% 1 0.00%52 Artist 3 0.00% 9 0.01% 3 0.00% 9 0.01% 9 0.01%53 F 2 0.00% 4 0.01% 0.00% 2 0.00% 2 0.00%54 M 1 0.00% 5 0.01% 3 0.00% 7 0.01% 7 0.01%55 Sports person 1 0.00% 2 0.00% 2 0.00% 0.00% 2 0.00%56 F 1 0.00% 0.00% 1 0.00% 0.00% 1 0.00%57 M 0.00% 2 0.00% 1 0.00% 0.00% 1 0.00%58 Technically Skilled 62 0.09% 235 0.35% 138 0.21% 172 0.26% 409 0.61%59 F 7 0.01% 34 0.05% 18 0.03% 35 0.05% 29 0.04%60 M 55 0.08% 201 0.30% 120 0.18% 137 0.21% 380 0.57%61 Unskilled 32 0.05% 86 0.13% 37 0.06% 39 0.06% 138 0.21%62 F 5 0.01% 13 0.02% 10 0.02% 14 0.02% 19 0.03%63 M 27 0.04% 73 0.11% 27 0.04% 25 0.04% 119 0.18%64 Artisan 7 0.01% 12 0.02% 6 0.01% 13 0.02% 15 0.02%65 F 3 0.00% 6 0.01% 2 0.00% 4 0.01% 4 0.01%66 M 4 0.01% 6 0.01% 4 0.01% 9 0.01% 11 0.02%67 Driver 110 0.17% 173 0.26% 117 0.18% 96 0.14% 241 0.36%68 F 8 0.01% 7 0.01% 0.00% 2 0.00% 4 0.01%69 M 102 0.15% 166 0.25% 117 0.18% 94 0.14% 237 0.36%70 Fisherman 1971 2.96% 1655 2.49% 2 0.00% 5 0.01% 2052 3.08%71 F 199 0.30% 112 0.17% 1 0.00% 1 0.00% 181 0.27%72 M 1772 2.66% 1543 2.32% 1 0.00% 4 0.01% 1871 2.81%73 Fish Vending 597 0.90% 400 0.60% 5 0.01% 10 0.02% 764 1.15%74 F 528 0.79% 326 0.49% 3 0.00% 2 0.00% 679 1.02%75 M 69 0.10% 74 0.11% 2 0.00% 8 0.01% 85 0.13%





1 Gazetted Officer 26 0.04% 26 0.04% 14 0.02% 342 0.51%2 F 8 0.01% 7 0.01% 5 0.01% 140 0.21%3 M 18 0.03% 19 0.03% 9 0.01% 202 0.30%4 Doctor 10 0.02% 3 0.00% 9 0.01% 154 0.23%5 F 2 0.00% 1 0.00% 6 0.01% 63 0.09%6 M 8 0.01% 2 0.00% 3 0.00% 91 0.14%7 Engineer 18 0.03% 11 0.02% 51 0.08% 370 0.56%8 F 1 0.00% 1 0.00% 3 0.00% 53 0.08%9 M 17 0.03% 10 0.02% 48 0.07% 317 0.48%

10 Advocate 0.00% 6 0.01% 8 0.01% 74 0.11%11 F 0.00% 0.00% 1 0.00% 12 0.02%12 M 0.00% 6 0.01% 7 0.01% 62 0.09%13 Teacher 150 0.23% 208 0.31% 257 0.39% 1470 2.21%14 F 88 0.13% 113 0.17% 165 0.25% 1003 1.51%15 M 62 0.09% 95 0.14% 92 0.14% 467 0.70%16 Manager 16 0.02% 25 0.04% 38 0.06% 409 0.61%17 F 3 0.00% 3 0.00% 1 0.00% 54 0.08%18 M 13 0.02% 22 0.03% 37 0.06% 355 0.53%19 Accountant 18 0.03% 47 0.07% 57 0.09% 460 0.69%20 F 6 0.01% 8 0.01% 11 0.02% 106 0.16%21 M 12 0.02% 39 0.06% 46 0.07% 354 0.53%22 IT Professional 16 0.02% 52 0.08% 38 0.06% 349 0.52%23 F 1 0.00% 7 0.01% 1 0.00% 31 0.05%24 M 15 0.02% 45 0.07% 37 0.06% 318 0.48%25 Nurse 16 0.02% 16 0.02% 5 0.01% 165 0.25%26 F 12 0.02% 12 0.02% 3 0.00% 139 0.21%27 M 4 0.01% 4 0.01% 2 0.00% 26 0.04%28 Clerk 61 0.09% 66 0.10% 36 0.05% 720 1.08%


Anjuthen-gu


thura


76 Coolie worker 425 0.64% 562 0.84% 352 0.53% 365 0.55% 1063 1.60%77 F 110 0.17% 145 0.22% 47 0.07% 66 0.10% 215 0.32%78 M 315 0.47% 417 0.63% 305 0.46% 299 0.45% 848 1.27%79 Self- Employed 263 0.40% 393 0.59% 249 0.37% 384 0.58% 554 0.83%80 F 122 0.18% 167 0.25% 69 0.10% 94 0.14% 169 0.25%81 M 141 0.21% 226 0.34% 180 0.27% 290 0.44% 385 0.58%82 House manager 819 1.23% 1129 1.70% 392 0.59% 481 0.72% 1896 2.85%83 F 786 1.18% 1090 1.64% 375 0.56% 466 0.70% 1848 2.78%84 M 33 0.05% 39 0.06% 17 0.03% 15 0.02% 48 0.07%85 Ex- Servicemen 18 0.03% 61 0.09% 26 0.04% 20 0.03% 46 0.07%86 F 12 0.02% 34 0.05% 9 0.01% 7 0.01% 17 0.03%87 M 6 0.01% 27 0.04% 17 0.03% 13 0.02% 29 0.04%88 Pensioner 95 0.14% 209 0.31% 126 0.19% 131 0.20% 157 0.24%89 F 48 0.07% 74 0.11% 61 0.09% 58 0.09% 66 0.10%90 M 47 0.07% 135 0.20% 65 0.10% 73 0.11% 91 0.14%91 Others 637 0.96% 1095 1.64% 253 0.38% 313 0.47% 710 1.07%92 F 419 0.63% 717 1.08% 138 0.21% 119 0.18% 312 0.47%93 M 218 0.33% 378 0.57% 115 0.17% 194 0.29% 398 0.60%94 Jobless /Unemployed 641 0.96% 842 1.26% 503 0.76% 587 0.88% 1563 2.35%95 F 454 0.68% 612 0.92% 412 0.62% 457 0.69% 1128 1.69%96 M 187 0.28% 230 0.35% 91 0.14% 130 0.20% 435 0.65%97 No Data 447 0.67% 1380 2.07% 316 0.47% 970 1.46% 671 1.01%98 F 245 0.37% 729 1.10% 177 0.27% 501 0.75% 348 0.52%99 M 202 0.30% 651 0.98% 139 0.21% 469 0.70% 323 0.49%

Grand Total 6380 9.58% 8958 13.46% 3327 5.00% 4624 6.95% 11158 16.76%





29 F 35 0.05% 27 0.04% 18 0.03% 327 0.49%30 M 26 0.04% 39 0.06% 18 0.03% 393 0.59%31 Peon 23 0.03% 28 0.04% 10 0.02% 212 0.32%32 F 8 0.01% 7 0.01% 3 0.00% 87 0.13%33 M 15 0.02% 21 0.03% 7 0.01% 125 0.19%34 Class IV 23 0.03% 7 0.01% 6 0.01% 161 0.24%35 F 10 0.02% 5 0.01% 4 0.01% 87 0.13%36 M 13 0.02% 2 0.00% 2 0.00% 74 0.11%37 Priest 3 0.00% 22 0.03% 18 0.03% 58 0.09%40 Nun 0.00% 10 0.02% 18 0.03% 43 0.06%43 Police 29 0.04% 34 0.05% 10 0.02% 163 0.24%44 F 1 0.00% 2 0.00% 2 0.00% 10 0.02%45 M 28 0.04% 32 0.05% 8 0.01% 153 0.23%46 Jawan 10 0.02% 36 0.05% 21 0.03% 110 0.17%47 F 0.00% 2 0.00% 1 0.00% 6 0.01%48 M 10 0.02% 34 0.05% 20 0.03% 104 0.16%49 Media Person 1 0.00% 1 0.00% 5 0.01% 23 0.03%50 F 0.00% 0.00% 2 0.00% 6 0.01%51 M 1 0.00% 1 0.00% 3 0.00% 17 0.03%52 Artist 4 0.01% 9 0.01% 0.00% 46 0.07%53 F 1 0.00% 4 0.01% 0.00% 15 0.02%54 M 3 0.00% 5 0.01% 0.00% 31 0.05%55 Sports person 0.00% 1 0.00% 2 0.00% 10 0.02%56 F 0.00% 0.00% 1 0.00% 4 0.01%57 M 0.00% 1 0.00% 1 0.00% 6 0.01%58 Technically Skilled 67 0.10% 155 0.23% 40 0.06% 1278 1.92%59 F 4 0.01% 12 0.02% 2 0.00% 141 0.21%60 M 63 0.09% 143 0.21% 38 0.06% 1137 1.71%61 Unskilled 17 0.03% 74 0.11% 6 0.01% 429 0.64%62 F 6 0.01% 11 0.02% 2 0.00% 80 0.12%63 M 11 0.02% 63 0.09% 4 0.01% 349 0.52%64 Artisan 7 0.01% 19 0.03% 9 0.01% 88 0.13%65 F 1 0.00% 4 0.01% 3 0.00% 27 0.04%66 M 6 0.01% 15 0.02% 6 0.01% 61 0.09%67 Driver 88 0.13% 108 0.16% 53 0.08% 986 1.48%68 F 5 0.01% 2 0.00% 0.00% 28 0.04%69 M 83 0.12% 106 0.16% 53 0.08% 958 1.44%70 Fisherman 2665 4.00% 4822 7.24% 3984 5.98% 17156 25.77%71 F 153 0.23% 186 0.28% 42 0.06% 875 1.31%72 M 2512 3.77% 4636 6.96% 3942 5.92% 16281 24.46%73 Fish Vending 522 0.78% 1157 1.74% 291 0.44% 3746 5.63%74 F 403 0.61% 995 1.49% 223 0.33% 3159 4.75%75 M 119 0.18% 162 0.24% 68 0.10% 587 0.88%76 Coolie worker 517 0.78% 642 0.96% 160 0.24% 4086 6.14%77 F 99 0.15% 145 0.22% 25 0.04% 852 1.28%78 M 418 0.63% 497 0.75% 135 0.20% 3234 4.86%79 Self- Employed 352 0.53% 605 0.91% 271 0.41% 3071 4.61%80 F 196 0.29% 336 0.50% 106 0.16% 1259 1.89%81 M 156 0.23% 269 0.40% 165 0.25% 1812 2.72%82 House manager 1420 2.13% 3010 4.52% 1279 1.92% 10426 15.66%83 F 1399 2.10% 2959 4.44% 1253 1.88% 10176 15.29%84 M 21 0.03% 51 0.08% 26 0.04% 250 0.38%85 Ex- Servicemen 21 0.03% 75 0.11% 12 0.02% 279 0.42%86 F 9 0.01% 22 0.03% 3 0.00% 113 0.17%87 M 12 0.02% 53 0.08% 9 0.01% 166 0.25%88 Pensioner 74 0.11% 157 0.24% 48 0.07% 997 1.50%89 F 42 0.06% 73 0.11% 23 0.03% 445 0.67%





90 M 32 0.05% 84 0.13% 25 0.04% 552 0.83%91 Others 518 0.78% 800 1.20% 359 0.54% 4685 7.04%92 F 398 0.60% 518 0.78% 131 0.20% 2752 4.13%93 M 120 0.18% 282 0.42% 228 0.34% 1933 2.90%94 Jobless /Unemployed 756 1.14% 1164 1.75% 3079 4.62% 9135 13.72%95 F 588 0.88% 836 1.26% 2691 4.04% 7178 10.78%96 M 168 0.25% 328 0.49% 388 0.58% 1957 2.94%97 No Data 549 0.82% 361 0.54% 178 0.27% 4872 7.32%98 F 298 0.45% 184 0.28% 116 0.17% 2598 3.90%99 M 251 0.38% 177 0.27% 62 0.09% 2274 3.42%

Grand Total 7997 12.01% 13757 20.66% 10372 15.58% 66573 100.00%

45 DISEASES

No Row Labels

Anjuthen-gu


thura Kovalam Pulluvila Thoothur Grand Total

1 Not Applicable F 6192 9471 3202 4528 10972 8887 15961 12998 722112 M 7142 10495 3337 4755 12183 10137 18447 14587 810833 F 8.57% 13.12% 4.43% 6.27% 15.19% 12.31% 22.10% 18.00% 100.00%4 M 8.81% 12.94% 4.12% 5.86% 15.03% 12.50% 22.75% 17.99% 100.00%5 Heart F 222 172 80 104 363 305 367 339 19526 M 233 214 127 168 410 307 362 331 21527 F 11.37% 8.81% 4.10% 5.33% 18.60% 15.63% 18.80% 17.37% 100.00%8 M 10.83% 9.94% 5.90% 7.81% 19.05% 14.27% 16.82% 15.38% 100.00%9 Diabetic F 473 543 344 352 1000 395 424 275 3806

10 M 448 611 361 403 918 357 464 304 386611 F 12.43% 14.27% 9.04% 9.25% 26.27% 10.38% 11.14% 7.23% 100.00%12 M 11.59% 15.80% 9.34% 10.42% 23.75% 9.23% 12.00% 7.86% 100.00%13 Cancer F 31 38 9 17 38 36 37 34 24014 M 29 27 10 12 53 60 59 58 30815 F 12.92% 15.83% 3.75% 7.08% 15.83% 15.00% 15.42% 14.17% 100.00%16 M 9.42% 8.77% 3.25% 3.90% 17.21% 19.48% 19.16% 18.83% 100.00%17 BP F 510 742 309 372 1099 383 683 699 479718 M 344 500 271 302 862 319 509 483 359019 F 10.63% 15.47% 6.44% 7.75% 22.91% 7.98% 14.24% 14.57% 100.00%20 M 9.58% 13.93% 7.55% 8.41% 24.01% 8.89% 14.18% 13.45% 100.00%21 HIV /STD F 15 26 2 4 27 22 27 19 14222 M 9 22 4 3 23 15 30 14 12023 F 10.56% 18.31% 1.41% 2.82% 19.01% 15.49% 19.01% 13.38% 100.00%24 M 7.50% 18.33% 3.33% 2.50% 19.17% 12.50% 25.00% 11.67% 100.00%25 Jaundice F 14 15 1 2 16 45 64 13 17026 M 37 28 5 6 49 100 223 66 51427 F 8.24% 8.82% 0.59% 1.18% 9.41% 26.47% 37.65% 7.65% 100.00%28 M 7.20% 5.45% 0.97% 1.17% 9.53% 19.46% 43.39% 12.84% 100.00%29 malaria F 9 11 2 4 19 16 25 16 10230 M 5 6 1 2 9 25 35 46 12931 F 8.82% 10.78% 1.96% 3.92% 18.63% 15.69% 24.51% 15.69% 100.00%32 M 3.88% 4.65% 0.78% 1.55% 6.98% 19.38% 27.13% 35.66% 100.00%33 Dengue /CG F 102 47 11 13 27 150 284 499 113334 M 112 53 10 4 33 181 314 498 120535 F 9.00% 4.15% 0.97% 1.15% 2.38% 13.24% 25.07% 44.04% 100.00%36 M 9.29% 4.40% 0.83% 0.33% 2.74% 15.02% 26.06% 41.33% 100.00%37 Asthma F 220 255 82 90 312 292 545 492 228838 M 128 177 54 53 204 194 353 303 146639 F 9.62% 11.15% 3.58% 3.93% 13.64% 12.76% 23.82% 21.50% 100.00%40 M 8.73% 12.07% 3.68% 3.62% 13.92% 13.23% 24.08% 20.67% 100.00%41 TB F 12 11 1 3 13 42 63 106 25142 M 37 23 0 5 37 65 82 118 36743 F 4.78% 4.38% 0.40% 1.20% 5.18% 16.73% 25.10% 42.23% 100.00%44 M 10.08% 6.27% 0.00% 1.36% 10.08% 17.71% 22.34% 32.15% 100.00%45 Leprosy F 8 11 1 1 7 14 28 20 90


45 DISEASES

No Row Labels Anjuthen-gu



46 M 10 12 0 2 19 21 30 32 12647 F 8.89% 12.22% 1.11% 1.11% 7.78% 15.56% 31.11% 22.22% 100.00%48 M 7.94% 9.52% 0.00% 1.59% 15.08% 16.67% 23.81% 25.40% 100.00%49 Skin F 50 83 22 17 74 115 187 131 67950 M 49 81 18 23 85 146 262 201 86551 F 7.36% 12.22% 3.24% 2.50% 10.90% 16.94% 27.54% 19.29% 100.00%52 M 5.66% 9.36% 2.08% 2.66% 9.83% 16.88% 30.29% 23.24% 100.00%53 Elephanticitis F 1 3 2 5 18 13 16 7 6554 M 1 6 1 5 3 14 10 5 4555 F 1.54% 4.62% 3.08% 7.69% 27.69% 20.00% 24.62% 10.77% 100.00%56 M 2.22% 13.33% 2.22% 11.11% 6.67% 31.11% 22.22% 11.11% 100.00%57 Thyroid F 196 276 123 152 350 266 272 270 190558 M 19 43 24 16 53 32 40 37 26459 F 10.29% 14.49% 6.46% 7.98% 18.37% 13.96% 14.28% 14.17% 100.00%60 M 7.20% 16.29% 9.09% 6.06% 20.08% 12.12% 15.15% 14.02% 100.00%61 Bone F 336 338 78 91 440 270 397 259 220962 M 282 196 44 55 288 252 398 370 188563 F 15.21% 15.30% 3.53% 4.12% 19.92% 12.22% 17.97% 11.72% 100.00%64 M 14.96% 10.40% 2.33% 2.92% 15.28% 13.37% 21.11% 19.63% 100.00%65 Vericos F 53 79 36 40 80 31 58 7 38466 M 31 48 23 26 49 33 53 11 27467 F 13.80% 20.57% 9.38% 10.42% 20.83% 8.07% 15.10% 1.82% 100.00%68 M 11.31% 17.52% 8.39% 9.49% 17.88% 12.04% 19.34% 4.01% 100.00%69 Rheumatic F 489 530 127 148 600 874 2103 827 569870 M 279 291 56 91 325 598 1488 720 384871 F 8.58% 9.30% 2.23% 2.60% 10.53% 15.34% 36.91% 14.51% 100.00%72 M 7.25% 7.56% 1.46% 2.36% 8.45% 15.54% 38.67% 18.71% 100.00%73 Allergy F 266 421 130 150 514 310 368 247 240674 M 217 330 100 111 371 242 318 234 192375 F 11.06% 17.50% 5.40% 6.23% 21.36% 12.88% 15.30% 10.27% 100.00%76 M 11.28% 17.16% 5.20% 5.77% 19.29% 12.58% 16.54% 12.17% 100.00%77 Phsychic F 38 60 19 12 56 54 92 71 40278 M 52 53 14 12 62 57 114 65 42979 F 9.45% 14.93% 4.73% 2.99% 13.93% 13.43% 22.89% 17.66% 100.00%80 M 12.12% 12.35% 3.26% 2.80% 14.45% 13.29% 26.57% 15.15% 100.00%81 Mentally retarted F 19 21 9 8 46 37 45 25 21082 M 32 32 8 12 39 40 88 53 30483 F 9.05% 10.00% 4.29% 3.81% 21.90% 17.62% 21.43% 11.90% 100.00%84 M 10.53% 10.53% 2.63% 3.95% 12.83% 13.16% 28.95% 17.43% 100.00%85 Others F 1097 902 224 244 962 1598 2233 1824 908486 M 1096 928 214 231 982 1708 2408 2045 961287 F 12.08% 9.93% 2.47% 2.69% 10.59% 17.59% 24.58% 20.08% 100.00%88 M 11.40% 9.65% 2.23% 2.40% 10.22% 17.77% 25.05% 21.28% 100.00%89 Not Applicable F 13334 19966 6539 9283 23155 19024 34408 27585 15329490 % M 8.70% 13.02% 4.27% 6.06% 15.10% 12.41% 22.45% 17.99% 100.00%91 Heart F 455 386 207 272 773 612 729 670 410492 % M 11.09% 9.41% 5.04% 6.63% 18.84% 14.91% 17.76% 16.33% 100.00%93 Diabetic F 921 1154 705 755 1918 752 888 579 767294 % M 12.00% 15.04% 9.19% 9.84% 25.00% 9.80% 11.57% 7.55% 100.00%95 Cancer F 60 65 19 29 91 96 96 92 54896 % M 10.95% 11.86% 3.47% 5.29% 16.61% 17.52% 17.52% 16.79% 100.00%97 BP F 854 1242 580 674 1961 702 1192 1182 838798 % M 10.18% 14.81% 6.92% 8.04% 23.38% 8.37% 14.21% 14.09% 100.00%99 HIV /STD M 24 48 6 7 50 37 57 33 262

100 % F 9.16% 18.32% 2.29% 2.67% 19.08% 14.12% 21.76% 12.60% 100.00%


45 DISEASES (Continuied)

No Row Labels An-juthengu

Puthukurichi Pettah Palayam Valiya-

thura Kovalam Pulluvila Thoo-thur

Grand Total

101 Jaundice F 51 43 6 8 65 145 287 79 684102 % M 7.46% 6.29% 0.88% 1.17% 9.50% 21.20% 41.96% 11.55% 100.00%103 malaria F 14 17 3 6 28 41 60 62 231104 % M 6.06% 7.36% 1.30% 2.60% 12.12% 17.75% 25.97% 26.84% 100.00%105 Dengue /CG F 214 100 21 17 60 331 598 997 2338106 % M 9.15% 4.28% 0.90% 0.73% 2.57% 14.16% 25.58% 42.64% 100.00%107 Asthma F 348 432 136 143 516 486 898 795 3754108 % M 9.27% 11.51% 3.62% 3.81% 13.75% 12.95% 23.92% 21.18% 100.00%109 TB F 49 34 1 8 50 107 145 224 618110 % M 7.93% 5.50% 0.16% 1.29% 8.09% 17.31% 23.46% 36.25% 100.00%111 Leprosy F 18 23 1 3 26 35 58 52 216112 % M 8.33% 10.65% 0.46% 1.39% 12.04% 16.20% 26.85% 24.07% 100.00%113 Skin F 99 164 40 40 159 261 449 332 1544114 % M 6.41% 10.62% 2.59% 2.59% 10.30% 16.90% 29.08% 21.50% 100.00%115 Elephanticitis F 2 9 3 10 21 27 26 12 110116 % M 1.82% 8.18% 2.73% 9.09% 19.09% 24.55% 23.64% 10.91% 100.00%117 Thyroid F 215 319 147 168 403 298 312 307 2169118 % M 9.91% 14.71% 6.78% 7.75% 18.58% 13.74% 14.38% 14.15% 100.00%119 Bone F 618 534 122 146 728 522 795 629 4094120 % M 15.10% 13.04% 2.98% 3.57% 17.78% 12.75% 19.42% 15.36% 100.00%121 Verocos F 84 127 59 66 129 64 111 18 658122 % M 12.77% 19.30% 8.97% 10.03% 19.60% 9.73% 16.87% 2.74% 100.00%123 Rheumatic F 768 821 183 239 925 1472 3591 1547 9546124 % M 8.05% 8.60% 1.92% 2.50% 9.69% 15.42% 37.62% 16.21% 100.00%125 Allergy F 483 751 230 261 885 552 686 481 4329126 % M 11.16% 17.35% 5.31% 6.03% 20.44% 12.75% 15.85% 11.11% 100.00%127 Phsychic F 90 113 33 24 118 111 206 136 831128 % M 10.83% 13.60% 3.97% 2.89% 14.20% 13.36% 24.79% 16.37% 100.00%129 Mentally retarted F 51 53 17 20 85 77 133 78 514130 % M 9.92% 10.31% 3.31% 3.89% 16.54% 14.98% 25.88% 15.18% 100.00%131 Others F 2193 1830 438 475 1944 3306 4641 3869 18696132 % M 11.73% 9.79% 2.34% 2.54% 10.40% 17.68% 24.82% 20.69% 100.00%

45A SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 0-6 YEARS

No Row Labels Anjuthen-gu




10 M 4 2 1 7 7 3 2 6 3211 F 27.27% 21.21% 6.06% 3.03% 27.27% 6.06% 3.03% 6.06% 100.00%12 M 12.50% 6.25% 3.13% 21.88% 21.88% 9.38% 6.25% 18.75% 100.00%13 Cancer F 1 1 0 0 0 0 2 1 514 M 2 0 0 0 0 2 0 1 515 F 20.00% 20.00% 0.00% 0.00% 0.00% 0.00% 40.00% 20.00% 100.00%16 M 40.00% 0.00% 0.00% 0.00% 0.00% 40.00% 0.00% 20.00% 100.00%17 BP F 7 2 2 0 10 3 1 3 2818 M 0 3 3 5 7 4 3 4 2919 F 25.00% 7.14% 7.14% 0.00% 35.71% 10.71% 3.57% 10.71% 100.00%20 M 0.00% 10.34% 10.34% 17.24% 24.14% 13.79% 10.34% 13.79% 100.00%21 HIV /STD F 0 2 0 0 1 0 1 2 622 M 0 3 0 0 1 0 3 3 1023 F 0.00% 33.33% 0.00% 0.00% 16.67% 0.00% 16.67% 33.33% 100.00%24 M 0.00% 30.00% 0.00% 0.00% 10.00% 0.00% 30.00% 30.00% 100.00%25 Jaundice F 0 0 0 0 1 1 1 0 326 M 0 0 0 0 1 2 2 1 6


45A SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 0-6 YEARS (Continuied)




Grand Total

27 F 0.00% 0.00% 0.00% 0.00% 33.33% 33.33% 33.33% 0.00% 100.00%28 M 0.00% 0.00% 0.00% 0.00% 16.67% 33.33% 33.33% 16.67% 100.00%29 malaria F 0 1 0 0 0 0 0 1 230 M 0 0 1 0 0 2 1 1 531 F 0.00% 50.00% 0.00% 0.00% 0.00% 0.00% 0.00% 50.00% 100.00%32 M 0.00% 0.00% 20.00% 0.00% 0.00% 40.00% 20.00% 20.00% 100.00%33 Dengue /CG F 27 17 0 2 6 33 66 119 27034 M 36 20 0 0 8 38 66 122 29035 F 10.00% 6.30% 0.00% 0.74% 2.22% 12.22% 24.44% 44.07% 100.00%36 M 12.41% 6.90% 0.00% 0.00% 2.76% 13.10% 22.76% 42.07% 100.00%37 Asthma F 19 19 2 3 10 27 42 57 17938 M 22 22 3 2 19 36 61 63 22839 F 10.61% 10.61% 1.12% 1.68% 5.59% 15.08% 23.46% 31.84% 100.00%40 M 9.65% 9.65% 1.32% 0.88% 8.33% 15.79% 26.75% 27.63% 100.00%41 TB F 1 3 0 0 0 2 2 7 1542 M 0 1 0 0 1 2 5 3 1243 F 6.67% 20.00% 0.00% 0.00% 0.00% 13.33% 13.33% 46.67% 100.00%44 M 0.00% 8.33% 0.00% 0.00% 8.33% 16.67% 41.67% 25.00% 100.00%45 Leprosy F 0 1 0 0 0 0 1 2 446 M 0 0 0 0 1 0 2 1 447 F 0.00% 25.00% 0.00% 0.00% 0.00% 0.00% 25.00% 50.00% 100.00%48 M 0.00% 0.00% 0.00% 0.00% 25.00% 0.00% 50.00% 25.00% 100.00%49 Skin F 2 3 0 1 1 7 18 9 4150 M 3 5 1 0 8 5 13 16 5151 F 4.88% 7.32% 0.00% 2.44% 2.44% 17.07% 43.90% 21.95% 100.00%52 M 5.88% 9.80% 1.96% 0.00% 15.69% 9.80% 25.49% 31.37% 100.00%53 Elephanticitis F 0 0 0 0 0 0 0 1 154 M 0 0 0 5 0 1 0 0 655 F 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 100.00%56 M 0.00% 0.00% 0.00% 83.33% 0.00% 16.67% 0.00% 0.00% 100.00%57 Thyroid F 2 2 1 0 2 1 2 4 1458 M 1 2 0 0 2 1 2 1 959 F 14.29% 14.29% 7.14% 0.00% 14.29% 7.14% 14.29% 28.57% 100.00%60 M 11.11% 22.22% 0.00% 0.00% 22.22% 11.11% 22.22% 11.11% 100.00%61 Bone F 3 1 1 0 2 6 7 2 2262 M 1 3 0 0 2 5 5 5 2163 F 13.64% 4.55% 4.55% 0.00% 9.09% 27.27% 31.82% 9.09% 100.00%64 M 4.76% 14.29% 0.00% 0.00% 9.52% 23.81% 23.81% 23.81% 100.00%65 Vericos F 2 0 0 0 1 0 1 0 466 M 0 0 0 0 1 0 0 0 167 F 50.00% 0.00% 0.00% 0.00% 25.00% 0.00% 25.00% 0.00% 100.00%68 M 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 100.00%69 Rheumatic F 11 4 1 1 5 12 10 3 4770 M 1 2 1 0 2 5 8 3 2271 F 23.40% 8.51% 2.13% 2.13% 10.64% 25.53% 21.28% 6.38% 100.00%72 M 4.55% 9.09% 4.55% 0.00% 9.09% 22.73% 36.36% 13.64% 100.00%73 Allergy F 11 30 5 4 27 20 33 19 14974 M 24 28 7 3 34 14 37 15 16275 F 7.38% 20.13% 3.36% 2.68% 18.12% 13.42% 22.15% 12.75% 100.00%76 M 14.81% 17.28% 4.32% 1.85% 20.99% 8.64% 22.84% 9.26% 100.00%77 Phsychic F 0 0 0 0 2 2 0 4 878 M 0 1 0 0 2 1 2 1 779 F 0.00% 0.00% 0.00% 0.00% 25.00% 25.00% 0.00% 50.00% 100.00%80 M 0.00% 14.29% 0.00% 0.00% 28.57% 14.29% 28.57% 14.29% 100.00%81 Mentally retarted F 4 0 0 0 7 3 2 2 1882 M 2 0 0 0 3 4 1 4 1483 F 22.22% 0.00% 0.00% 0.00% 38.89% 16.67% 11.11% 11.11% 100.00%84 M 14.29% 0.00% 0.00% 0.00% 21.43% 28.57% 7.14% 28.57% 100.00%85 Others F 83 83 9 13 91 155 194 197 82586 M 71 90 7 16 110 135 240 234 90387 F 10.06% 10.06% 1.09% 1.58% 11.03% 18.79% 23.52% 23.88% 100.00%88 M 7.86% 9.97% 0.78% 1.77% 12.18% 14.95% 26.58% 25.91% 100.00%89 Not Applicable F 1622 2786 650 878 2966 2663 4567 3813 1994590 % M 8.13% 13.97% 3.26% 4.40% 14.87% 13.35% 22.90% 19.12% 100.00%


45A SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 0-6 YEARS (Continuied)




Grand Total

91 Heart F 10 8 1 1 12 18 22 22 9492 % M 10.64% 8.51% 1.06% 1.06% 12.77% 19.15% 23.40% 23.40% 100.00%93 Diabetic F 13 9 3 8 16 5 3 8 6594 % M 20.00% 13.85% 4.62% 12.31% 24.62% 7.69% 4.62% 12.31% 100.00%95 Cancer F 3 1 0 0 0 2 2 2 1096 % M 30.00% 10.00% 0.00% 0.00% 0.00% 20.00% 20.00% 20.00% 100.00%97 BP F 7 5 5 5 17 7 4 7 5798 % M 12.28% 8.77% 8.77% 8.77% 29.82% 12.28% 7.02% 12.28% 100.00%99 HIV /STD F 0 5 0 0 2 0 4 5 16

100 % M 0.00% 31.25% 0.00% 0.00% 12.50% 0.00% 25.00% 31.25% 100.00%101 Jaundice F 0 0 0 0 2 3 3 1 9102 % M 0.00% 0.00% 0.00% 0.00% 22.22% 33.33% 33.33% 11.11% 100.00%103 malaria F 0 1 1 0 0 2 1 2 7104 % M 0.00% 14.29% 14.29% 0.00% 0.00% 28.57% 14.29% 28.57% 100.00%105 Dengue /CG F 63 37 0 2 14 71 132 241 560106 % M 11.25% 6.61% 0.00% 0.36% 2.50% 12.68% 23.57% 43.04% 100.00%107 Asthma F 41 41 5 5 29 63 103 120 407108 % M 10.07% 10.07% 1.23% 1.23% 7.13% 15.48% 25.31% 29.48% 100.00%109 TB F 1 4 0 0 1 4 7 10 27110 % M 3.70% 14.81% 0.00% 0.00% 3.70% 14.81% 25.93% 37.04% 100.00%111 Leprosy F 0 1 0 0 1 0 3 3 8112 % M 0.00% 12.50% 0.00% 0.00% 12.50% 0.00% 37.50% 37.50% 100.00%113 Skin F 5 8 1 1 9 12 31 25 92114 % M 5.43% 8.70% 1.09% 1.09% 9.78% 13.04% 33.70% 27.17% 100.00%115 Elephanticitis F 0 0 0 5 0 1 0 1 7116 % M 0.00% 0.00% 0.00% 71.43% 0.00% 14.29% 0.00% 14.29% 100.00%117 Thyroid F 3 4 1 0 4 2 4 5 23118 % M 13.04% 17.39% 4.35% 0.00% 17.39% 8.70% 17.39% 21.74% 100.00%119 Bone F 4 4 1 0 4 11 12 7 43120 % M 9.30% 9.30% 2.33% 0.00% 9.30% 25.58% 27.91% 16.28% 100.00%121 Verocos F 2 0 0 0 2 0 1 0 5122 % M 40.00% 0.00% 0.00% 0.00% 40.00% 0.00% 20.00% 0.00% 100.00%123 Rheumatic F 12 6 2 1 7 17 18 6 69124 % M 17.39% 8.70% 2.90% 1.45% 10.14% 24.64% 26.09% 8.70% 100.00%125 Allergy F 35 58 12 7 61 34 70 34 311126 % M 11.25% 18.65% 3.86% 2.25% 19.61% 10.93% 22.51% 10.93% 100.00%127 Phsychic F 0 1 0 0 4 3 2 5 15128 % M 0.00% 6.67% 0.00% 0.00% 26.67% 20.00% 13.33% 33.33% 100.00%129 Mentally retarted F 6 0 0 0 10 7 3 6 32130 % M 18.75% 0.00% 0.00% 0.00% 31.25% 21.88% 9.38% 18.75% 100.00%131 Others F 154 173 16 29 201 290 434 431 1728132 % M 8.91% 10.01% 0.93% 1.68% 11.63% 16.78% 25.12% 24.94% 100.00%

45B SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 7-15 YEARS




Grand Total


10 M 1 2 2 1 6 4 5 7 2811 F 11.54% 7.69% 0.00% 0.00% 26.92% 15.38% 23.08% 15.38% 100.00%12 M 3.57% 7.14% 7.14% 3.57% 21.43% 14.29% 17.86% 25.00% 100.00%13 Cancer F 4 0 0 0 0 2 0 1 714 M 1 0 1 0 1 3 0 0 615 F 57.14% 0.00% 0.00% 0.00% 0.00% 28.57% 0.00% 14.29% 100.00%16 M 16.67% 0.00% 16.67% 0.00% 16.67% 50.00% 0.00% 0.00% 100.00%17 BP F 1 1 0 0 6 1 5 6 20


45B SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 7-15 YEARS (Continuied)




Grand Total

18 M 5 1 2 2 10 7 7 6 4019 F 5.00% 5.00% 0.00% 0.00% 30.00% 5.00% 25.00% 30.00% 100.00%20 M 12.50% 2.50% 5.00% 5.00% 25.00% 17.50% 17.50% 15.00% 100.00%21 HIV /STD F 5 2 0 0 2 5 1 0 1522 M 1 1 0 0 2 5 5 0 1423 F 33.33% 13.33% 0.00% 0.00% 13.33% 33.33% 6.67% 0.00% 100.00%24 M 7.14% 7.14% 0.00% 0.00% 14.29% 35.71% 35.71% 0.00% 100.00%25 Jaundice F 0 1 0 0 0 0 5 1 726 M 0 0 0 0 4 2 3 5 1427 F 0.00% 14.29% 0.00% 0.00% 0.00% 0.00% 71.43% 14.29% 100.00%28 M 0.00% 0.00% 0.00% 0.00% 28.57% 14.29% 21.43% 35.71% 100.00%29 malaria F 0 0 0 0 0 1 3 1 530 M 0 0 0 0 0 1 0 0 131 F 0.00% 0.00% 0.00% 0.00% 0.00% 20.00% 60.00% 20.00% 100.00%32 M 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 100.00%33 Dengue /CG F 27 8 0 1 3 27 50 89 20534 M 24 13 1 1 9 29 58 117 25235 F 13.17% 3.90% 0.00% 0.49% 1.46% 13.17% 24.39% 43.41% 100.00%36 M 9.52% 5.16% 0.40% 0.40% 3.57% 11.51% 23.02% 46.43% 100.00%37 Asthma F 21 24 3 3 11 24 42 52 18038 M 23 23 3 3 16 24 44 56 19239 F 11.67% 13.33% 1.67% 1.67% 6.11% 13.33% 23.33% 28.89% 100.00%40 M 11.98% 11.98% 1.56% 1.56% 8.33% 12.50% 22.92% 29.17% 100.00%41 TB F 1 0 0 1 1 3 7 2 1542 M 0 2 0 0 2 1 8 6 1943 F 6.67% 0.00% 0.00% 6.67% 6.67% 20.00% 46.67% 13.33% 100.00%44 M 0.00% 10.53% 0.00% 0.00% 10.53% 5.26% 42.11% 31.58% 100.00%45 Leprosy F 1 2 0 0 0 4 7 2 1646 M 0 4 0 0 1 2 1 2 1047 F 6.25% 12.50% 0.00% 0.00% 0.00% 25.00% 43.75% 12.50% 100.00%48 M 0.00% 40.00% 0.00% 0.00% 10.00% 20.00% 10.00% 20.00% 100.00%49 Skin F 4 4 0 1 9 19 23 15 7550 M 0 1 1 1 6 15 39 23 8651 F 5.33% 5.33% 0.00% 1.33% 12.00% 25.33% 30.67% 20.00% 100.00%52 M 0.00% 1.16% 1.16% 1.16% 6.98% 17.44% 45.35% 26.74% 100.00%53 Elephanticitis F 0 0 0 0 0 0 0 0 054 M 0 0 0 0 1 0 1 0 255 F 0 0 0 0 0 0 0 0 056 M 0.00% 0.00% 0.00% 0.00% 50.00% 0.00% 50.00% 0.00% 100.00%57 Thyroid F 9 8 2 2 11 21 14 23 9058 M 2 2 1 0 4 6 3 7 2559 F 10.00% 8.89% 2.22% 2.22% 12.22% 23.33% 15.56% 25.56% 100.00%60 M 8.00% 8.00% 4.00% 0.00% 16.00% 24.00% 12.00% 28.00% 100.00%61 Bone F 4 4 2 2 5 6 9 13 4562 M 7 5 2 2 4 8 18 7 5363 F 8.89% 8.89% 4.44% 4.44% 11.11% 13.33% 20.00% 28.89% 100.00%64 M 13.21% 9.43% 3.77% 3.77% 7.55% 15.09% 33.96% 13.21% 100.00%65 Vericos F 1 2 0 1 2 0 2 0 866 M 1 1 0 0 0 0 3 0 567 F 12.50% 25.00% 0.00% 12.50% 25.00% 0.00% 25.00% 0.00% 100.00%68 M 20.00% 20.00% 0.00% 0.00% 0.00% 0.00% 60.00% 0.00% 100.00%69 Rheumatic F 3 2 1 1 5 7 25 6 5070 M 5 2 1 0 4 6 15 6 3971 F 6.00% 4.00% 2.00% 2.00% 10.00% 14.00% 50.00% 12.00% 100.00%72 M 12.82% 5.13% 2.56% 0.00% 10.26% 15.38% 38.46% 15.38% 100.00%73 Allergy F 24 46 9 12 49 35 58 37 27074 M 39 55 14 10 45 39 56 45 30375 F 8.89% 17.04% 3.33% 4.44% 18.15% 12.96% 21.48% 13.70% 100.00%76 M 12.87% 18.15% 4.62% 3.30% 14.85% 12.87% 18.48% 14.85% 100.00%77 Phsychic F 0 1 0 1 2 1 1 0 678 M 1 0 0 0 1 1 3 1 779 F 0.00% 16.67% 0.00% 16.67% 33.33% 16.67% 16.67% 0.00% 100.00%80 M 14.29% 0.00% 0.00% 0.00% 14.29% 14.29% 42.86% 14.29% 100.00%81 Mentally retarted F 4 6 1 2 4 11 7 5 40


45B SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 7-15 YEARS (Continuied)




Grand Total

82 M 9 7 2 3 9 8 16 11 6583 F 10.00% 15.00% 2.50% 5.00% 10.00% 27.50% 17.50% 12.50% 100.00%84 M 13.85% 10.77% 3.08% 4.62% 13.85% 12.31% 24.62% 16.92% 100.00%85 Others F 136 128 16 26 87 235 321 281 123086 M 141 112 21 28 113 224 344 306 128987 F 11.06% 10.41% 1.30% 2.11% 7.07% 19.11% 26.10% 22.85% 100.00%88 M 10.94% 8.69% 1.63% 2.17% 8.77% 17.38% 26.69% 23.74% 100.00%89 Not Applicable F 2448 3252 922 1344 3793 3699 6482 5375 2731590 % M 8.96% 11.91% 3.38% 4.92% 13.89% 13.54% 23.73% 19.68% 100.00%91 Heart F 11 12 3 6 21 26 40 40 15992 % M 6.92% 7.55% 1.89% 3.77% 13.21% 16.35% 25.16% 25.16% 100.00%93 Diabetic F 4 4 2 1 13 8 11 11 5494 % M 7.41% 7.41% 3.70% 1.85% 24.07% 14.81% 20.37% 20.37% 100.00%95 Cancer F 5 0 1 0 1 5 0 1 1396 % M 38.46% 0.00% 7.69% 0.00% 7.69% 38.46% 0.00% 7.69% 100.00%97 BP F 6 2 2 2 16 8 12 12 6098 % M 10.00% 3.33% 3.33% 3.33% 26.67% 13.33% 20.00% 20.00% 100.00%99 HIV /STD F 6 3 0 0 4 10 6 0 29


45C SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 16-35 YEARS




Grand Total

1 Not Applicable F 2491 3619 1163 1631 4244 3709 6766 5523 291462 M 2778 3797 1182 1648 4475 4164 7764 6122 319303 F 8.55% 12.42% 3.99% 5.60% 14.56% 12.73% 23.21% 18.95% 100.00%4 M 8.70% 11.89% 3.70% 5.16% 14.02% 13.04% 24.32% 19.17% 100.00%5 Heart F 20 11 2 8 31 59 68 74 2736 M 20 14 2 7 39 50 48 55 2357 F 7.33% 4.03% 0.73% 2.93% 11.36% 21.61% 24.91% 27.11% 100.00%8 M 8.51% 5.96% 0.85% 2.98% 16.60% 21.28% 20.43% 23.40% 100.00%


45C SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 16-35 YEARS (Continuied)




Grand Total

9 Diabetic F 11 16 8 15 47 19 36 15 16710 M 18 30 16 2 43 28 28 16 18111 F 6.59% 9.58% 4.79% 8.98% 28.14% 11.38% 21.56% 8.98% 100.00%12 M 9.94% 16.57% 8.84% 1.10% 23.76% 15.47% 15.47% 8.84% 100.00%13 Cancer F 1 3 0 1 5 3 6 4 2314 M 3 0 1 1 6 2 9 2 2415 F 4.35% 13.04% 0.00% 4.35% 21.74% 13.04% 26.09% 17.39% 100.00%16 M 12.50% 0.00% 4.17% 4.17% 25.00% 8.33% 37.50% 8.33% 100.00%17 BP F 33 28 8 9 70 34 67 51 30018 M 16 24 4 3 63 28 46 27 21119 F 11.00% 9.33% 2.67% 3.00% 23.33% 11.33% 22.33% 17.00% 100.00%20 M 7.58% 11.37% 1.90% 1.42% 29.86% 13.27% 21.80% 12.80% 100.00%21 HIV /STD F 6 8 0 0 7 13 11 5 5022 M 1 8 1 0 6 3 8 3 3023 F 12.00% 16.00% 0.00% 0.00% 14.00% 26.00% 22.00% 10.00% 100.00%24 M 3.33% 26.67% 3.33% 0.00% 20.00% 10.00% 26.67% 10.00% 100.00%25 Jaundice F 10 6 1 1 4 20 33 6 8126 M 14 10 1 1 10 41 101 28 20627 F 12.35% 7.41% 1.23% 1.23% 4.94% 24.69% 40.74% 7.41% 100.00%28 M 6.80% 4.85% 0.49% 0.49% 4.85% 19.90% 49.03% 13.59% 100.00%29 malaria F 1 0 0 0 4 5 4 6 2030 M 0 1 0 1 3 10 8 16 3931 F 5.00% 0.00% 0.00% 0.00% 20.00% 25.00% 20.00% 30.00% 100.00%32 M 0.00% 2.56% 0.00% 2.56% 7.69% 25.64% 20.51% 41.03% 100.00%33 Dengue /CG F 16 10 2 5 2 44 86 160 32534 M 22 12 3 0 8 56 103 147 35135 F 4.92% 3.08% 0.62% 1.54% 0.62% 13.54% 26.46% 49.23% 100.00%36 M 6.27% 3.42% 0.85% 0.00% 2.28% 15.95% 29.34% 41.88% 100.00%37 Asthma F 23 34 10 14 48 51 95 80 35538 M 18 23 10 7 22 25 58 42 20539 F 6.48% 9.58% 2.82% 3.94% 13.52% 14.37% 26.76% 22.54% 100.00%40 M 8.78% 11.22% 4.88% 3.41% 10.73% 12.20% 28.29% 20.49% 100.00%41 TB F 2 1 0 0 1 3 15 17 3942 M 2 1 0 0 6 12 17 22 6043 F 5.13% 2.56% 0.00% 0.00% 2.56% 7.69% 38.46% 43.59% 100.00%44 M 3.33% 1.67% 0.00% 0.00% 10.00% 20.00% 28.33% 36.67% 100.00%45 Leprosy F 2 2 0 1 1 4 7 6 2346 M 3 1 0 1 7 3 8 7 3047 F 8.70% 8.70% 0.00% 4.35% 4.35% 17.39% 30.43% 26.09% 100.00%48 M 10.00% 3.33% 0.00% 3.33% 23.33% 10.00% 26.67% 23.33% 100.00%49 Skin F 15 21 5 2 17 29 58 46 19350 M 11 27 3 1 11 48 69 63 23351 F 7.77% 10.88% 2.59% 1.04% 8.81% 15.03% 30.05% 23.83% 100.00%52 M 4.72% 11.59% 1.29% 0.43% 4.72% 20.60% 29.61% 27.04% 100.00%53 Elephanticitis F 0 0 0 0 5 3 1 3 1254 M 0 1 0 0 1 1 1 0 455 F 0.00% 0.00% 0.00% 0.00% 41.67% 25.00% 8.33% 25.00% 100.00%56 M 0.00% 25.00% 0.00% 0.00% 25.00% 25.00% 25.00% 0.00% 100.00%57 Thyroid F 77 88 26 35 98 104 121 119 66858 M 3 8 1 2 11 5 10 10 5059 F 11.53% 13.17% 3.89% 5.24% 14.67% 15.57% 18.11% 17.81% 100.00%60 M 6.00% 16.00% 2.00% 4.00% 22.00% 10.00% 20.00% 20.00% 100.00%61 Bone F 40 41 9 10 51 61 83 66 36162 M 38 38 4 4 46 61 93 122 40663 F 11.08% 11.36% 2.49% 2.77% 14.13% 16.90% 22.99% 18.28% 100.00%64 M 9.36% 9.36% 0.99% 0.99% 11.33% 15.02% 22.91% 30.05% 100.00%65 Vericos F 14 17 4 2 12 6 18 1 7466 M 4 5 2 1 7 7 11 4 4167 F 18.92% 22.97% 5.41% 2.70% 16.22% 8.11% 24.32% 1.35% 100.00%68 M 9.76% 12.20% 4.88% 2.44% 17.07% 17.07% 26.83% 9.76% 100.00%69 Rheumatic F 49 44 8 2 54 112 253 72 59470 M 27 20 3 1 20 49 144 43 30771 F 8.25% 7.41% 1.35% 0.34% 9.09% 18.86% 42.59% 12.12% 100.00%72 M 8.79% 6.51% 0.98% 0.33% 6.51% 15.96% 46.91% 14.01% 100.00%


45C SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 16-35 YEARS (Continuied)




Grand Total

73 Allergy F 79 147 43 45 181 104 137 97 83374 M 62 96 28 35 112 89 93 85 60075 F 9.48% 17.65% 5.16% 5.40% 21.73% 12.48% 16.45% 11.64% 100.00%76 M 10.33% 16.00% 4.67% 5.83% 18.67% 14.83% 15.50% 14.17% 100.00%77 Phsychic F 11 4 2 3 10 13 20 23 8678 M 20 13 2 1 14 16 38 14 11879 F 12.79% 4.65% 2.33% 3.49% 11.63% 15.12% 23.26% 26.74% 100.00%80 M 16.95% 11.02% 1.69% 0.85% 11.86% 13.56% 32.20% 11.86% 100.00%81 Mentally retarted F 4 8 4 5 20 13 18 8 8082 M 15 14 2 6 16 23 51 22 14983 F 5.00% 10.00% 5.00% 6.25% 25.00% 16.25% 22.50% 10.00% 100.00%84 M 10.07% 9.40% 1.34% 4.03% 10.74% 15.44% 34.23% 14.77% 100.00%85 Others F 316 264 58 57 247 561 789 717 300986 M 382 288 57 53 263 640 846 759 328887 F 10.50% 8.77% 1.93% 1.89% 8.21% 18.64% 26.22% 23.83% 100.00%88 M 11.62% 8.76% 1.73% 1.61% 8.00% 19.46% 25.73% 23.08% 100.00%89 Not Applicable F 5269 7416 2345 3279 8719 7873 14530 11645 6107690 % M 8.63% 12.14% 3.84% 5.37% 14.28% 12.89% 23.79% 19.07% 100.00%91 Heart F 40 25 4 15 70 109 116 129 50892 % M 7.87% 4.92% 0.79% 2.95% 13.78% 21.46% 22.83% 25.39% 100.00%93 Diabetic F 29 46 24 17 90 47 64 31 34894 % M 8.33% 13.22% 6.90% 4.89% 25.86% 13.51% 18.39% 8.91% 100.00%95 Cancer F 4 3 1 2 11 5 15 6 4796 % M 8.51% 6.38% 2.13% 4.26% 23.40% 10.64% 31.91% 12.77% 100.00%97 BP F 49 52 12 12 133 62 113 78 51198 % M 9.59% 10.18% 2.35% 2.35% 26.03% 12.13% 22.11% 15.26% 100.00%99 HIV /STD F 7 16 1 0 13 16 19 8 80



45D SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 36-60 YEARS




Grand Total


10 M 263 364 175 208 554 221 258 180 222311 F 12.18% 14.38% 7.22% 8.09% 27.44% 11.86% 10.62% 8.23% 100.00%12 M 11.83% 16.37% 7.87% 9.36% 24.92% 9.94% 11.61% 8.10% 100.00%13 Cancer F 16 23 5 8 18 21 14 25 13014 M 17 14 5 4 25 36 32 37 17015 F 12.31% 17.69% 3.85% 6.15% 13.85% 16.15% 10.77% 19.23% 100.00%16 M 10.00% 8.24% 2.94% 2.35% 14.71% 21.18% 18.82% 21.76% 100.00%17 BP F 290 421 151 185 603 240 400 445 273518 M 209 291 149 143 481 189 271 301 203419 F 10.60% 15.39% 5.52% 6.76% 22.05% 8.78% 14.63% 16.27% 100.00%20 M 10.28% 14.31% 7.33% 7.03% 23.65% 9.29% 13.32% 14.80% 100.00%21 HIV /STD F 3 12 1 3 13 3 13 7 5522 M 5 7 2 2 12 5 12 7 5223 F 5.45% 21.82% 1.82% 5.45% 23.64% 5.45% 23.64% 12.73% 100.00%24 M 9.62% 13.46% 3.85% 3.85% 23.08% 9.62% 23.08% 13.46% 100.00%25 Jaundice F 3 7 0 1 10 22 22 6 7126 M 20 16 4 4 33 53 110 31 27127 F 4.23% 9.86% 0.00% 1.41% 14.08% 30.99% 30.99% 8.45% 100.00%28 M 7.38% 5.90% 1.48% 1.48% 12.18% 19.56% 40.59% 11.44% 100.00%29 malaria F 5 7 2 1 6 5 9 6 4130 M 4 3 0 1 6 7 19 20 6031 F 12.20% 17.07% 4.88% 2.44% 14.63% 12.20% 21.95% 14.63% 100.00%32 M 6.67% 5.00% 0.00% 1.67% 10.00% 11.67% 31.67% 33.33% 100.00%33 Dengue /CG F 25 10 7 5 11 38 68 99 26334 M 21 5 4 3 3 46 73 92 24735 F 9.51% 3.80% 2.66% 1.90% 4.18% 14.45% 25.86% 37.64% 100.00%36 M 8.50% 2.02% 1.62% 1.21% 1.21% 18.62% 29.55% 37.25% 100.00%37 Asthma F 109 119 38 43 169 138 239 228 108338 M 37 63 23 23 89 65 98 89 48739 F 10.06% 10.99% 3.51% 3.97% 15.60% 12.74% 22.07% 21.05% 100.00%40 M 7.60% 12.94% 4.72% 4.72% 18.28% 13.35% 20.12% 18.28% 100.00%41 TB F 7 5 0 2 6 23 24 51 11842 M 24 10 0 2 19 33 34 71 19343 F 5.93% 4.24% 0.00% 1.69% 5.08% 19.49% 20.34% 43.22% 100.00%44 M 12.44% 5.18% 0.00% 1.04% 9.84% 17.10% 17.62% 36.79% 100.00%45 Leprosy F 5 6 0 0 5 6 11 7 4046 M 1 3 0 1 8 11 12 12 4847 F 12.50% 15.00% 0.00% 0.00% 12.50% 15.00% 27.50% 17.50% 100.00%48 M 2.08% 6.25% 0.00% 2.08% 16.67% 22.92% 25.00% 25.00% 100.00%49 Skin F 18 47 11 9 36 48 71 53 29350 M 23 42 7 18 44 64 110 74 38251 F 6.14% 16.04% 3.75% 3.07% 12.29% 16.38% 24.23% 18.09% 100.00%52 M 6.02% 10.99% 1.83% 4.71% 11.52% 16.75% 28.80% 19.37% 100.00%53 Elephanticitis F 1 1 1 0 9 8 10 0 3054 M 1 2 1 0 0 10 4 3 2155 F 3.33% 3.33% 3.33% 0.00% 30.00% 26.67% 33.33% 0.00% 100.00%56 M 4.76% 9.52% 4.76% 0.00% 0.00% 47.62% 19.05% 14.29% 100.00%57 Thyroid F 88 155 84 95 211 126 125 117 100158 M 11 25 16 9 27 18 19 14 13959 F 8.79% 15.48% 8.39% 9.49% 21.08% 12.59% 12.49% 11.69% 100.00%60 M 7.91% 17.99% 11.51% 6.47% 19.42% 12.95% 13.67% 10.07% 100.00%61 Bone F 202 204 42 61 284 146 231 136 130662 M 165 102 26 38 179 144 233 201 108863 F 15.47% 15.62% 3.22% 4.67% 21.75% 11.18% 17.69% 10.41% 100.00%64 M 15.17% 9.38% 2.39% 3.49% 16.45% 13.24% 21.42% 18.47% 100.00%


45D SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 36-60 YEARS (Continuied)




Grand Total

65 Vericos F 30 45 24 28 51 23 33 4 23866 M 20 35 13 18 29 16 29 2 16267 F 12.61% 18.91% 10.08% 11.76% 21.43% 9.66% 13.87% 1.68% 100.00%68 M 12.35% 21.60% 8.02% 11.11% 17.90% 9.88% 17.90% 1.23% 100.00%69 Rheumatic F 285 341 75 86 362 528 1250 517 344470 M 158 169 26 50 182 341 802 382 211071 F 8.28% 9.90% 2.18% 2.50% 10.51% 15.33% 36.30% 15.01% 100.00%72 M 7.49% 8.01% 1.23% 2.37% 8.63% 16.16% 38.01% 18.10% 100.00%73 Allergy F 124 167 58 74 221 130 118 89 98174 M 81 124 42 50 153 86 110 79 72575 F 12.64% 17.02% 5.91% 7.54% 22.53% 13.25% 12.03% 9.07% 100.00%76 M 11.17% 17.10% 5.79% 6.90% 21.10% 11.86% 15.17% 10.90% 100.00%77 Phsychic F 21 40 10 6 31 32 56 38 23478 M 28 30 12 10 36 29 52 38 23579 F 8.97% 17.09% 4.27% 2.56% 13.25% 13.68% 23.93% 16.24% 100.00%80 M 11.91% 12.77% 5.11% 4.26% 15.32% 12.34% 22.13% 16.17% 100.00%81 Mentally retarted F 7 6 4 1 10 9 12 7 5682 M 6 8 3 3 9 4 18 12 6383 F 12.50% 10.71% 7.14% 1.79% 17.86% 16.07% 21.43% 12.50% 100.00%84 M 9.52% 12.70% 4.76% 4.76% 14.29% 6.35% 28.57% 19.05% 100.00%85 Others F 407 314 104 109 404 525 717 521 310186 M 391 345 90 99 377 580 756 624 326287 F 13.12% 10.13% 3.35% 3.51% 13.03% 16.93% 23.12% 16.80% 100.00%88 M 11.99% 10.58% 2.76% 3.03% 11.56% 17.78% 23.18% 19.13% 100.00%89 Not Applicable F 3455 5412 2194 3037 6614 4128 7637 5864 3834190 % M 9.01% 14.12% 5.72% 7.92% 17.25% 10.77% 19.92% 15.29% 100.00%91 Heart F 226 182 82 120 386 334 386 369 208592 % M 10.84% 8.73% 3.93% 5.76% 18.51% 16.02% 18.51% 17.70% 100.00%93 Diabetic F 528 677 332 384 1151 479 489 359 439994 % M 12.00% 15.39% 7.55% 8.73% 26.17% 10.89% 11.12% 8.16% 100.00%95 Cancer F 33 37 10 12 43 57 46 62 30096 % M 11.00% 12.33% 3.33% 4.00% 14.33% 19.00% 15.33% 20.67% 100.00%97 BP F 499 712 300 328 1084 429 671 746 476998 % M 10.46% 14.93% 6.29% 6.88% 22.73% 9.00% 14.07% 15.64% 100.00%99 HIV /STD F 8 19 3 5 25 8 25 14 107

100 % M 7.48% 17.76% 2.80% 4.67% 23.36% 7.48% 23.36% 13.08% 100.00%101 Jaundice F 23 23 4 5 43 75 132 37 342102 % M 6.73% 6.73% 1.17% 1.46% 12.57% 21.93% 38.60% 10.82% 100.00%103 malaria F 9 10 2 2 12 12 28 26 101104 % M 8.91% 9.90% 1.98% 1.98% 11.88% 11.88% 27.72% 25.74% 100.00%105 Dengue /CG F 46 15 11 8 14 84 141 191 510106 % M 9.02% 2.94% 2.16% 1.57% 2.75% 16.47% 27.65% 37.45% 100.00%107 Asthma F 146 182 61 66 258 203 337 317 1570108 % M 9.30% 11.59% 3.89% 4.20% 16.43% 12.93% 21.46% 20.19% 100.00%109 TB F 31 15 0 4 25 56 58 122 311110 % M 9.97% 4.82% 0.00% 1.29% 8.04% 18.01% 18.65% 39.23% 100.00%111 Leprosy F 6 9 0 1 13 17 23 19 88112 % M 6.82% 10.23% 0.00% 1.14% 14.77% 19.32% 26.14% 21.59% 100.00%113 Skin F 41 89 18 27 80 112 181 127 675114 % M 6.07% 13.19% 2.67% 4.00% 11.85% 16.59% 26.81% 18.81% 100.00%115 Elephanticitis F 2 3 2 0 9 18 14 3 51116 % M 3.92% 5.88% 3.92% 0.00% 17.65% 35.29% 27.45% 5.88% 100.00%117 Thyroid F 99 180 100 104 238 144 144 131 1140118 % M 8.68% 15.79% 8.77% 9.12% 20.88% 12.63% 12.63% 11.49% 100.00%119 Bone F 367 306 68 99 463 290 464 337 2394120 % M 15.33% 12.78% 2.84% 4.14% 19.34% 12.11% 19.38% 14.08% 100.00%121 Verocos F 50 80 37 46 80 39 62 6 400122 % M 12.50% 20.00% 9.25% 11.50% 20.00% 9.75% 15.50% 1.50% 100.00%123 Rheumatic F 443 510 101 136 544 869 2052 899 5554124 % M 7.98% 9.18% 1.82% 2.45% 9.79% 15.65% 36.95% 16.19% 100.00%125 Allergy F 205 291 100 124 374 216 228 168 1706126 % M 12.02% 17.06% 5.86% 7.27% 21.92% 12.66% 13.36% 9.85% 100.00%127 Phsychic F 49 70 22 16 67 61 108 76 469128 % M 10.45% 14.93% 4.69% 3.41% 14.29% 13.01% 23.03% 16.20% 100.00%


45D SEX-WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP OF 36-60 YEARS (Continuied)




Grand Total

129 Mentally retarted M 13 14 7 4 19 13 30 19 119130 % F 10.92% 11.76% 5.88% 3.36% 15.97% 10.92% 25.21% 15.97% 100.00%131 Others M 798 659 194 208 781 1105 1473 1145 6363132 % F 12.54% 10.36% 3.05% 3.27% 12.27% 17.37% 23.15% 17.99% 100.00%

45E SEX WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP ABOVE 60 YEARS




Grand Total


10 M 162 213 167 185 308 101 171 95 140211 F 13.18% 14.60% 12.61% 11.40% 24.22% 7.98% 10.68% 5.34% 100.00%12 M 11.55% 15.19% 11.91% 13.20% 21.97% 7.20% 12.20% 6.78% 100.00%13 Cancer F 9 11 4 8 15 10 15 3 7514 M 6 13 3 7 21 17 18 18 10315 F 12.00% 14.67% 5.33% 10.67% 20.00% 13.33% 20.00% 4.00% 100.00%16 M 5.83% 12.62% 2.91% 6.80% 20.39% 16.50% 17.48% 17.48% 100.00%17 BP F 179 290 148 178 410 105 210 194 171418 M 114 181 113 149 301 91 182 145 127619 F 10.44% 16.92% 8.63% 10.39% 23.92% 6.13% 12.25% 11.32% 100.00%20 M 8.93% 14.18% 8.86% 11.68% 23.59% 7.13% 14.26% 11.36% 100.00%21 HIV /STD F 1 2 1 1 4 1 1 5 1622 M 2 3 1 1 2 2 2 1 1423 F 6.25% 12.50% 6.25% 6.25% 25.00% 6.25% 6.25% 31.25% 100.00%24 M 14.29% 21.43% 7.14% 7.14% 14.29% 14.29% 14.29% 7.14% 100.00%25 Jaundice F 1 1 0 0 1 2 3 0 826 M 3 2 0 1 1 2 7 1 1727 F 12.50% 12.50% 0.00% 0.00% 12.50% 25.00% 37.50% 0.00% 100.00%28 M 17.65% 11.76% 0.00% 5.88% 5.88% 11.76% 41.18% 5.88% 100.00%29 malaria F 3 3 0 3 9 5 9 2 3430 M 1 2 0 0 0 5 7 9 2431 F 8.82% 8.82% 0.00% 8.82% 26.47% 14.71% 26.47% 5.88% 100.00%32 M 4.17% 8.33% 0.00% 0.00% 0.00% 20.83% 29.17% 37.50% 100.00%33 Dengue /CG F 7 2 2 0 5 8 14 32 7034 M 9 3 2 0 5 12 14 20 6535 F 10.00% 2.86% 2.86% 0.00% 7.14% 11.43% 20.00% 45.71% 100.00%36 M 13.85% 4.62% 3.08% 0.00% 7.69% 18.46% 21.54% 30.77% 100.00%37 Asthma F 48 59 29 27 74 52 127 75 49138 M 28 46 15 18 58 44 92 53 35439 F 9.78% 12.02% 5.91% 5.50% 15.07% 10.59% 25.87% 15.27% 100.00%40 M 7.91% 12.99% 4.24% 5.08% 16.38% 12.43% 25.99% 14.97% 100.00%41 TB F 1 2 1 0 5 11 15 29 6442 M 11 9 0 3 9 17 18 16 8343 F 1.56% 3.13% 1.56% 0.00% 7.81% 17.19% 23.44% 45.31% 100.00%44 M 13.25% 10.84% 0.00% 3.61% 10.84% 20.48% 21.69% 19.28% 100.00%45 Leprosy F 0 0 1 0 1 0 2 3 746 M 6 4 0 0 2 5 7 10 3447 F 0.00% 0.00% 14.29% 0.00% 14.29% 0.00% 28.57% 42.86% 100.00%48 M 17.65% 11.76% 0.00% 0.00% 5.88% 14.71% 20.59% 29.41% 100.00%49 Skin F 11 8 6 4 11 12 17 8 7750 M 12 6 6 3 16 14 31 25 11351 F 14.29% 10.39% 7.79% 5.19% 14.29% 15.58% 22.08% 10.39% 100.00%52 M 10.62% 5.31% 5.31% 2.65% 14.16% 12.39% 27.43% 22.12% 100.00%53 Elephanticitis F 0 2 1 5 4 2 5 3 2254 M 0 3 0 0 1 2 4 2 1255 F 0.00% 9.09% 4.55% 22.73% 18.18% 9.09% 22.73% 13.64% 100.00%


45E SEX WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP ABOVE 60 YEARS




Grand Total

56 M 0.00% 25.00% 0.00% 0.00% 8.33% 16.67% 33.33% 16.67% 100.00%57 Thyroid F 20 23 10 20 28 14 10 7 13258 M 2 6 6 5 9 2 6 5 4159 F 15.15% 17.42% 7.58% 15.15% 21.21% 10.61% 7.58% 5.30% 100.00%60 M 4.88% 14.63% 14.63% 12.20% 21.95% 4.88% 14.63% 12.20% 100.00%61 Bone F 87 88 24 18 98 51 67 42 47562 M 71 48 12 11 57 34 49 35 31763 F 18.32% 18.53% 5.05% 3.79% 20.63% 10.74% 14.11% 8.84% 100.00%64 M 22.40% 15.14% 3.79% 3.47% 17.98% 10.73% 15.46% 11.04% 100.00%65 Vericos F 6 15 8 9 14 2 4 2 6066 M 6 7 8 7 12 10 10 5 6567 F 10.00% 25.00% 13.33% 15.00% 23.33% 3.33% 6.67% 3.33% 100.00%68 M 9.23% 10.77% 12.31% 10.77% 18.46% 15.38% 15.38% 7.69% 100.00%69 Rheumatic F 141 139 42 58 174 215 565 229 156370 M 88 98 25 40 117 197 519 286 137071 F 9.02% 8.89% 2.69% 3.71% 11.13% 13.76% 36.15% 14.65% 100.00%72 M 6.42% 7.15% 1.82% 2.92% 8.54% 14.38% 37.88% 20.88% 100.00%73 Allergy F 28 31 15 15 36 21 22 5 17374 M 11 27 9 13 27 14 22 10 13375 F 16.18% 17.92% 8.67% 8.67% 20.81% 12.14% 12.72% 2.89% 100.00%76 M 8.27% 20.30% 6.77% 9.77% 20.30% 10.53% 16.54% 7.52% 100.00%77 Phsychic F 6 15 7 2 11 6 15 6 6878 M 3 9 0 1 9 10 19 11 6279 F 8.82% 22.06% 10.29% 2.94% 16.18% 8.82% 22.06% 8.82% 100.00%80 M 4.84% 14.52% 0.00% 1.61% 14.52% 16.13% 30.65% 17.74% 100.00%81 Mentally retarted F 0 1 0 0 5 1 6 3 1682 M 0 3 1 0 2 1 2 4 1383 F 0.00% 6.25% 0.00% 0.00% 31.25% 6.25% 37.50% 18.75% 100.00%84 M 0.00% 23.08% 7.69% 0.00% 15.38% 7.69% 15.38% 30.77% 100.00%85 Others F 155 113 37 39 133 122 212 108 91986 M 111 93 39 35 119 129 222 122 87087 F 16.87% 12.30% 4.03% 4.24% 14.47% 13.28% 23.07% 11.75% 100.00%88 M 12.76% 10.69% 4.48% 4.02% 13.68% 14.83% 25.52% 14.02% 100.00%89 Not Applicable F 540 1100 428 745 1063 661 1192 888 661790 % M 8.16% 16.62% 6.47% 11.26% 16.06% 9.99% 18.01% 13.42% 100.00%91 Heart F 168 159 117 130 284 125 165 110 125892 % M 13.35% 12.64% 9.30% 10.33% 22.58% 9.94% 13.12% 8.74% 100.00%93 Diabetic F 347 418 344 345 648 213 321 170 280694 % M 12.37% 14.90% 12.26% 12.30% 23.09% 7.59% 11.44% 6.06% 100.00%95 Cancer F 15 24 7 15 36 27 33 21 17896 % M 8.43% 13.48% 3.93% 8.43% 20.22% 15.17% 18.54% 11.80% 100.00%97 BP F 293 471 261 327 711 196 392 339 299098 % M 9.80% 15.75% 8.73% 10.94% 23.78% 6.56% 13.11% 11.34% 100.00%99 HIV /STD F 3 5 2 2 6 3 3 6 30

100 % M 10.00% 16.67% 6.67% 6.67% 20.00% 10.00% 10.00% 20.00% 100.00%101 Jaundice F 4 3 0 1 2 4 10 1 25102 % M 16.00% 12.00% 0.00% 4.00% 8.00% 16.00% 40.00% 4.00% 100.00%103 malaria F 4 5 0 3 9 10 16 11 58104 % M 6.90% 8.62% 0.00% 5.17% 15.52% 17.24% 27.59% 18.97% 100.00%105 Dengue /CG F 16 5 4 0 10 20 28 52 135106 % M 11.85% 3.70% 2.96% 0.00% 7.41% 14.81% 20.74% 38.52% 100.00%107 Asthma F 76 105 44 45 132 96 219 128 845108 % M 8.99% 12.43% 5.21% 5.33% 15.62% 11.36% 25.92% 15.15% 100.00%109 TB F 12 11 1 3 14 28 33 45 147110 % M 8.16% 7.48% 0.68% 2.04% 9.52% 19.05% 22.45% 30.61% 100.00%111 Leprosy F 6 4 1 0 3 5 9 13 41112 % M 14.63% 9.76% 2.44% 0.00% 7.32% 12.20% 21.95% 31.71% 100.00%113 Skin F 23 14 12 7 27 26 48 33 190114 % M 12.11% 7.37% 6.32% 3.68% 14.21% 13.68% 25.26% 17.37% 100.00%115 Elephanticitis F 0 5 1 5 5 4 9 5 34116 % M 0.00% 14.71% 2.94% 14.71% 14.71% 11.76% 26.47% 14.71% 100.00%117 Thyroid F 22 29 16 25 37 16 16 12 173118 % M 12.72% 16.76% 9.25% 14.45% 21.39% 9.25% 9.25% 6.94% 100.00%119 Bone F 158 136 36 29 155 85 116 77 792


45E SEX WISE DISTRIBUTION OF DISEASES IN THE AGE GROUP ABOVE 60 YEARS (Continuied)




Grand Total

120 % F 19.95% 17.17% 4.55% 3.66% 19.57% 10.73% 14.65% 9.72% 100.00%121 Verocos M 12 22 16 16 26 12 14 7 125122 % F 9.60% 17.60% 12.80% 12.80% 20.80% 9.60% 11.20% 5.60% 100.00%123 Rheumatic M 229 237 67 98 291 412 1084 515 2933124 % F 7.81% 8.08% 2.28% 3.34% 9.92% 14.05% 36.96% 17.56% 100.00%125 Allergy M 39 58 24 28 63 35 44 15 306126 % F 12.75% 18.95% 7.84% 9.15% 20.59% 11.44% 14.38% 4.90% 100.00%127 Phsychic M 9 24 7 3 20 16 34 17 130128 % F 6.92% 18.46% 5.38% 2.31% 15.38% 12.31% 26.15% 13.08% 100.00%129 Mentally retarted M 0 4 1 0 7 2 8 7 29130 % F 0.00% 13.79% 3.45% 0.00% 24.14% 6.90% 27.59% 24.14% 100.00%131 Others M 266 206 76 74 252 251 434 230 1789132 % F 14.87% 11.51% 4.25% 4.14% 14.09% 14.03% 24.26% 12.86% 100.00%

46 BAD HABITS




Grand Total

1 Drinking F 84 97 39 18 191 132 277 89 9272 M 1874 2036 267 254 3296 3624 6624 4325 223003 F 9.06% 10.46% 4.21% 1.94% 20.60% 14.24% 29.88% 9.60% 100.00%4 M 8.40% 9.13% 1.20% 1.14% 14.78% 16.25% 29.70% 19.39% 100.00%5 Smoking F 27 17 10 3 37 19 33 11 1576 M 677 726 169 199 1403 655 1013 566 54087 F 17.20% 10.83% 6.37% 1.91% 23.57% 12.10% 21.02% 7.01% 100.00%8 M 12.52% 13.42% 3.13% 3.68% 25.94% 12.11% 18.73% 10.47% 100.00%9 Betel Chewing F 234 198 9 13 367 412 594 258 2085

10 M 865 665 23 32 996 2336 3774 3105 1179611 F 11.22% 9.50% 0.43% 0.62% 17.60% 19.76% 28.49% 12.37% 100.00%12 M 7.33% 5.64% 0.19% 0.27% 8.44% 19.80% 31.99% 26.32% 100.00%13 Drugs F 1 2 0 0 5 5 6 6 2514 M 9 17 4 2 28 22 37 70 18915 F 4.00% 8.00% 0.00% 0.00% 20.00% 20.00% 24.00% 24.00% 100.00%16 M 4.76% 8.99% 2.12% 1.06% 14.81% 11.64% 19.58% 37.04% 100.00%17 Pan Masala F 19 20 0 4 20 25 29 12 12918 M 362 303 14 26 385 731 849 359 302919 F 14.73% 15.50% 0.00% 3.10% 15.50% 19.38% 22.48% 9.30% 100.00%20 M 11.95% 10.00% 0.46% 0.86% 12.71% 24.13% 28.03% 11.85% 100.00%21 Not Applicable F 9052 12514 4310 5808 14821 12539 22109 18072 9922522 M 7516 10927 3979 5549 12142 9854 17348 14529 8184423 F 9.12% 12.61% 4.34% 5.85% 14.94% 12.64% 22.28% 18.21% 100.00%24 M 9.18% 13.35% 4.86% 6.78% 14.84% 12.04% 21.20% 17.75% 100.00%25 Drinking F 1958 2133 306 272 3487 3756 6901 4414 2322726 M 8.43% 9.18% 1.32% 1.17% 15.01% 16.17% 29.71% 19.00% 100.00%27 Smoking F 704 743 179 202 1440 674 1046 577 556528 M 12.65% 13.35% 3.22% 3.63% 25.88% 12.11% 18.80% 10.37% 100.00%29 Betel Chewing F 1099 863 32 45 1363 2748 4368 3363 1388130 M 7.92% 6.22% 0.23% 0.32% 9.82% 19.80% 31.47% 24.23% 100.00%31 Drugs F 10 19 4 2 33 27 43 76 21432 M 4.67% 8.88% 1.87% 0.93% 15.42% 12.62% 20.09% 35.51% 100.00%33 Pan Masala F 381 323 14 30 405 756 878 371 315834 M 12.06% 10.23% 0.44% 0.95% 12.82% 23.94% 27.80% 11.75% 100.00%35 Not Applicable F 16568 23441 8289 11357 26963 22393 39457 32601 18106936 M 9.15% 12.95% 4.58% 6.27% 14.89% 12.37% 21.79% 18.00% 100.00%

46A SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP OF 5-15 YEARS




Grand Total

1 Drinking F 7 7 2 0 21 11 30 3 812 M 12 10 2 0 28 8 34 5 993 F 8.64% 8.64% 2.47% 0.00% 25.93% 13.58% 37.04% 3.70% 100.00%4 M 12.12% 10.10% 2.02% 0.00% 28.28% 8.08% 34.34% 5.05% 100.00%5 Smoking F 2 2 1 0 1 0 0 3 9


46A SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP OF 5-15 YEARS (Continuied)




Grand Total

6 M 0 2 0 0 5 1 0 1 97 F 22.22% 22.22% 11.11% 0.00% 11.11% 0.00% 0.00% 33.33% 100.00%8 M 0.00% 22.22% 0.00% 0.00% 55.56% 11.11% 0.00% 11.11% 100.00%9 Betel Chewing F 4 1 0 0 3 4 5 2 19


46B SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP OF 16-25 YEARS




Grand Total


10 M 29 9 0 0 17 69 125 89 33811 F 12.90% 3.23% 0.00% 0.00% 12.90% 19.35% 35.48% 16.13% 100.00%12 M 8.58% 2.66% 0.00% 0.00% 5.03% 20.41% 36.98% 26.33% 100.00%13 Drugs F 0 0 0 0 1 2 1 2 614 M 1 1 0 0 0 6 4 12 2415 F 0.00% 0.00% 0.00% 0.00% 16.67% 33.33% 16.67% 33.33% 100.00%16 M 4.17% 4.17% 0.00% 0.00% 0.00% 25.00% 16.67% 50.00% 100.00%17 Pan Masala F 2 4 0 2 1 0 7 2 1818 M 80 29 2 3 51 134 177 39 51519 F 11.11% 22.22% 0.00% 11.11% 5.56% 0.00% 38.89% 11.11% 100.00%20 M 15.53% 5.63% 0.39% 0.58% 9.90% 26.02% 34.37% 7.57% 100.00%21 Not Applicable F 1529 1985 667 895 2357 2372 4164 3584 1755322 M 1362 1888 656 869 2175 2310 3869 3417 1654623 F 8.71% 11.31% 3.80% 5.10% 13.43% 13.51% 23.72% 20.42% 100.00%24 M 8.23% 11.41% 3.96% 5.25% 13.15% 13.96% 23.38% 20.65% 100.00%25 Drinking F 134 92 13 17 159 202 476 132 122526 M 10.94% 7.51% 1.06% 1.39% 12.98% 16.49% 38.86% 10.78% 100.00%27 Smoking F 20 14 6 2 25 11 35 18 13128 M 15.27% 10.69% 4.58% 1.53% 19.08% 8.40% 26.72% 13.74% 100.00%


46B SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP OF 16-25 YEARS (Continuied)




Grand Total

29 Betel Chewing F 33 10 0 0 21 75 136 94 36930 M 8.94% 2.71% 0.00% 0.00% 5.69% 20.33% 36.86% 25.47% 100.00%31 Drugs F 1 1 0 0 1 8 5 14 3032 M 3.33% 3.33% 0.00% 0.00% 3.33% 26.67% 16.67% 46.67% 100.00%33 Pan Masala F 82 33 2 5 52 134 184 41 53334 M 15.38% 6.19% 0.38% 0.94% 9.76% 25.14% 34.52% 7.69% 100.00%35 Not Applicable F 2891 3873 1323 1764 4532 4682 8033 7001 3409936 M 8.48% 11.36% 3.88% 5.17% 13.29% 13.73% 23.56% 20.53% 100.00%

46C SEX-WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP OF 26-60 YEARS




Grand Total



46D SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP ABOVE 60 YEARS




Grand Total


10 M 132 126 9 5 218 300 488 410 1688


46D SEX WISE DISTRIBUTION OF BAD HABITS IN THE AGE GROUP ABOVE 60 YEARS (Continuied)




Grand Total

11 F 9.57% 11.39% 0.50% 0.99% 21.12% 14.36% 26.24% 15.84% 100.00%12 M 7.82% 7.46% 0.53% 0.30% 12.91% 17.77% 28.91% 24.29% 100.00%13 Drugs F 0 0 0 0 0 0 1 0 114 M 0 3 1 0 2 2 7 1 1615 F 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 100.00%16 M 0.00% 18.75% 6.25% 0.00% 12.50% 12.50% 43.75% 6.25% 100.00%17 Pan Masala F 4 1 0 2 3 1 0 0 1118 M 5 14 3 1 12 10 12 3 6019 F 36.36% 9.09% 0.00% 18.18% 27.27% 9.09% 0.00% 0.00% 100.00%20 M 8.33% 23.33% 5.00% 1.67% 20.00% 16.67% 20.00% 5.00% 100.00%21 Not Applicable F 797 1118 556 738 1328 733 1449 1006 772522 M 503 801 478 695 849 490 923 512 525123 F 10.32% 14.47% 7.20% 9.55% 17.19% 9.49% 18.76% 13.02% 100.00%24 M 9.58% 15.25% 9.10% 13.24% 16.17% 9.33% 17.58% 9.75% 100.00%25 Drinking F 203 288 54 41 418 399 658 561 262226 M 7.74% 10.98% 2.06% 1.56% 15.94% 15.22% 25.10% 21.40% 100.00%27 Smoking F 109 130 34 37 220 91 198 99 91828 M 11.87% 14.16% 3.70% 4.03% 23.97% 9.91% 21.57% 10.78% 100.00%29 Betel Chewing F 190 195 12 11 346 387 647 506 229430 M 8.28% 8.50% 0.52% 0.48% 15.08% 16.87% 28.20% 22.06% 100.00%31 Drugs F 0 3 1 0 2 2 8 1 1732 M 0.00% 17.65% 5.88% 0.00% 11.76% 11.76% 47.06% 5.88% 100.00%33 Pan Masala F 9 15 3 3 15 11 12 3 7134 M 12.68% 21.13% 4.23% 4.23% 21.13% 15.49% 16.90% 4.23% 100.00%35 Not Applicable F 1300 1919 1034 1433 2177 1223 2372 1518 1297636 M 10.02% 14.79% 7.97% 11.04% 16.78% 9.43% 18.28% 11.70% 100.00%

47 DISABILITIES




Grand Total

1 Blind F 36 43 16 7 66 73 109 61 4112 M 55 47 19 18 59 64 147 76 4853 F 8.76% 10.46% 3.89% 1.70% 16.06% 17.76% 26.52% 14.84% 100.00%4 M 11.34% 9.69% 3.92% 3.71% 12.16% 13.20% 30.31% 15.67% 100.00%5 Deaf F 17 23 7 8 32 45 45 23 2006 M 25 19 4 9 48 30 69 57 2617 F 8.50% 11.50% 3.50% 4.00% 16.00% 22.50% 22.50% 11.50% 100.00%8 M 9.58% 7.28% 1.53% 3.45% 18.39% 11.49% 26.44% 21.84% 100.00%9 Dumb F 16 14 3 4 23 26 27 20 133

10 M 10 12 4 4 32 17 56 37 17211 F 12.03% 10.53% 2.26% 3.01% 17.29% 19.55% 20.30% 15.04% 100.00%12 M 5.81% 6.98% 2.33% 2.33% 18.60% 9.88% 32.56% 21.51% 100.00%13 Growth Impaired F 20 29 11 12 31 25 52 38 21814 M 19 35 7 12 31 41 83 68 29615 F 9.17% 13.30% 5.05% 5.50% 14.22% 11.47% 23.85% 17.43% 100.00%16 M 6.42% 11.82% 2.36% 4.05% 10.47% 13.85% 28.04% 22.97% 100.00%17 Lame F 30 39 10 9 54 85 127 66 42018 M 52 57 12 10 101 132 195 94 65319 F 7.14% 9.29% 2.38% 2.14% 12.86% 20.24% 30.24% 15.71% 100.00%20 M 7.96% 8.73% 1.84% 1.53% 15.47% 20.21% 29.86% 14.40% 100.00%21 Lost the hand F 59 42 15 18 93 68 153 93 54122 M 65 83 25 24 136 110 187 155 78523 F 10.91% 7.76% 2.77% 3.33% 17.19% 12.57% 28.28% 17.19% 100.00%24 M 8.28% 10.57% 3.18% 3.06% 17.32% 14.01% 23.82% 19.75% 100.00%25 Other Disabiities F 18 17 2 4 24 21 39 40 16526 M 16 17 8 9 22 32 47 60 21127 F 10.91% 10.30% 1.21% 2.42% 14.55% 12.73% 23.64% 24.24% 100.00%28 M 7.58% 8.06% 3.79% 4.27% 10.43% 15.17% 22.27% 28.44% 100.00%29 Reading Difficulty F 150 166 30 21 265 119 131 43 92530 M 116 134 27 23 212 112 136 41 80131 F 16.22% 17.95% 3.24% 2.27% 28.65% 12.86% 14.16% 4.65% 100.00%32 M 14.48% 16.73% 3.37% 2.87% 26.47% 13.98% 16.98% 5.12% 100.00%33 Pronounciation

Problems F 19 14 1 4 32 21 38 14 143


47 DISABILITIES (Continuied)




Grand Total

M 29 16 3 6 30 25 70 34 213F 13.29% 9.79% 0.70% 2.80% 22.38% 14.69% 26.57% 9.79% 100.00%

M 13.62% 7.51% 1.41% 2.82% 14.08% 11.74% 32.86% 15.96% 100.00%Stuttering F 5 15 1 4 14 28 18 14 99

M 20 30 2 6 47 63 51 46 265F 5.05% 15.15% 1.01% 4.04% 14.14% 28.28% 18.18% 14.14% 100.00%

M 7.55% 11.32% 0.75% 2.26% 17.74% 23.77% 19.25% 17.36% 100.00%Partial Vision F 360 431 66 60 571 508 592 415 3003

M 273 330 46 45 409 400 503 310 2316F 11.99% 14.35% 2.20% 2.00% 19.01% 16.92% 19.71% 13.82% 100.00%

M 11.79% 14.25% 1.99% 1.94% 17.66% 17.27% 21.72% 13.39% 100.00%Not Applicable F 8789 12050 4226 5702 14416 12236 21706 17626 96751

M 9420 12684 4211 5767 15083 13325 23701 19157 103348F 9.08% 12.45% 4.37% 5.89% 14.90% 12.65% 22.43% 18.22% 100.00%

M 9.11% 12.27% 4.07% 5.58% 14.59% 12.89% 22.93% 18.54% 100.00%Blind F 91 90 35 25 125 137 256 137 896

M 10.16% 10.04% 3.91% 2.79% 13.95% 15.29% 28.57% 15.29% 100.00%Deaf F 42 42 11 17 80 75 114 80 461

M 9.11% 9.11% 2.39% 3.69% 17.35% 16.27% 24.73% 17.35% 100.00%Dumb F 26 26 7 8 55 43 83 57 305

M 8.52% 8.52% 2.30% 2.62% 18.03% 14.10% 27.21% 18.69% 100.00%Growth Impaired F 39 64 18 24 62 66 135 106 514

M 7.59% 12.45% 3.50% 4.67% 12.06% 12.84% 26.26% 20.62% 100.00%Lame F 82 96 22 19 155 217 322 160 1073

M 7.64% 8.95% 2.05% 1.77% 14.45% 20.22% 30.01% 14.91% 100.00%Lost the hand F 124 125 40 42 229 178 340 248 1326

M 9.35% 9.43% 3.02% 3.17% 17.27% 13.42% 25.64% 18.70% 100.00%Other Disabiities F 34 34 10 13 46 53 86 100 376

M 9.04% 9.04% 2.66% 3.46% 12.23% 14.10% 22.87% 26.60% 100.00%Reading Difficulty F 266 300 57 44 477 231 267 84 1726

M 15.41% 17.38% 3.30% 2.55% 27.64% 13.38% 15.47% 4.87% 100.00%Pronounciation

Problems F 48 30 4 10 62 46 108 48 356

M 13.48% 8.43% 1.12% 2.81% 17.42% 12.92% 30.34% 13.48% 100.00%Stuttering F 25 45 3 10 61 91 69 60 364

M 6.87% 12.36% 0.82% 2.75% 16.76% 25.00% 18.96% 16.48% 100.00%Partial Vision F 633 761 112 105 980 908 1095 725 5319

M 11.90% 14.31% 2.11% 1.97% 18.42% 17.07% 20.59% 13.63% 100.00%Not Applicable F 18209 24734 8437 11469 29499 25561 45407 36783 200099

M 9.10% 12.36% 4.22% 5.73% 14.74% 12.77% 22.69% 18.38% 100.00%

48 FAITH BASED AND SOCIAL ORGANIZATIONS




Grand Total

BCC F 750 885 673 704 1332 1113 1979 976 8412M 385 480 550 581 663 576 1155 347 4737F 8.92% 10.52% 8.00% 8.37% 15.83% 13.23% 23.53% 11.60% 100.00%

M 8.13% 10.13% 11.61% 12.27% 14.00% 12.16% 24.38% 7.33% 100.00%SHG F 1763 1510 191 229 1430 1224 4043 705 11095

M 597 250 25 49 223 169 655 141 2109F 15.89% 13.61% 1.72% 2.06% 12.89% 11.03% 36.44% 6.35% 100.00%

M 28.31% 11.85% 1.19% 2.32% 10.57% 8.01% 31.06% 6.69% 100.00%


48 FAITH BASED AND SOCIAL ORGANIZATIONS (Continuied)




Grand Total

F 10.19% 9.25% 0.06% 0.12% 18.03% 11.59% 45.90% 4.86% 100.00%M 14.02% 13.41% 0.00% 1.22% 16.46% 9.76% 37.80% 7.32% 100.00%

DCMS F 2 5 59 22 9 47 44 7 195M 3 6 56 12 6 26 37 15 161F 1.03% 2.56% 30.26% 11.28% 4.62% 24.10% 22.56% 3.59% 100.00%

M 1.86% 3.73% 34.78% 7.45% 3.73% 16.15% 22.98% 9.32% 100.00%AA F 4 4 0 0 2 3 11 1 25

M 2 1 0 3 7 10 22 6 51F 16.00% 16.00% 0.00% 0.00% 8.00% 12.00% 44.00% 4.00% 100.00%

M 3.92% 1.96% 0.00% 5.88% 13.73% 19.61% 43.14% 11.76% 100.00%KCSL F 86 106 44 18 97 83 80 2 516

M 99 116 30 20 66 102 77 1 511F 16.67% 20.54% 8.53% 3.49% 18.80% 16.09% 15.50% 0.39% 100.00%

M 19.37% 22.70% 5.87% 3.91% 12.92% 19.96% 15.07% 0.20% 100.00%KCYM F 161 136 201 194 174 186 260 62 1374

M 242 205 247 217 283 237 426 67 1924F 11.72% 9.90% 14.63% 14.12% 12.66% 13.54% 18.92% 4.51% 100.00%

M 12.58% 10.65% 12.84% 11.28% 14.71% 12.32% 22.14% 3.48% 100.00%KLCA F 44 58 29 26 71 43 54 11 336

M 47 44 41 35 67 39 42 13 328F 13.10% 17.26% 8.63% 7.74% 21.13% 12.80% 16.07% 3.27% 100.00%

M 14.33% 13.41% 12.50% 10.67% 20.43% 11.89% 12.80% 3.96% 100.00%Prayer Group F 692 403 119 143 524 362 617 173 3033

M 347 175 68 102 313 259 361 107 1732F 22.82% 13.29% 3.92% 4.71% 17.28% 11.94% 20.34% 5.70% 100.00%

M 20.03% 10.10% 3.93% 5.89% 18.07% 14.95% 20.84% 6.18% 100.00%Pious Associations F 353 296 103 126 797 600 1139 1799 5213

M 119 168 78 118 447 663 607 649 2849F 6.77% 5.68% 1.98% 2.42% 15.29% 11.51% 21.85% 34.51% 100.00%

M 4.18% 5.90% 2.74% 4.14% 15.69% 23.27% 21.31% 22.78% 100.00%Catechism Teacher F 91 115 107 139 146 156 166 165 1085

M 24 45 34 42 69 58 86 60 418F 8.39% 10.60% 9.86% 12.81% 13.46% 14.38% 15.30% 15.21% 100.00%

M 5.74% 10.77% 8.13% 10.05% 16.51% 13.88% 20.57% 14.35% 100.00%Sports F 10 12 4 11 33 38 45 1 154

M 40 65 15 23 126 107 138 23 537F 6.49% 7.79% 2.60% 7.14% 21.43% 24.68% 29.22% 0.65% 100.00%M 7.45% 12.10% 2.79% 4.28% 23.46% 19.93% 25.70% 4.28% 100.00%

Arts F 37 22 18 26 62 57 80 5 307M 60 52 19 40 74 66 71 2 384F 12.05% 7.17% 5.86% 8.47% 20.20% 18.57% 26.06% 1.63% 100.00%

M 15.63% 13.54% 4.95% 10.42% 19.27% 17.19% 18.49% 0.52% 100.00%Trade Union F 17 54 17 13 41 27 42 1 212

M 69 125 31 58 138 153 53 8 635F 8.02% 25.47% 8.02% 6.13% 19.34% 12.74% 19.81% 0.47% 100.00%

M 10.87% 19.69% 4.88% 9.13% 21.73% 24.09% 8.35% 1.26% 100.00%Politics F 993 1938 299 143 740 1333 1358 4 6808

M 1428 2571 340 218 1006 1658 1918 27 9166F 14.59% 28.47% 4.39% 2.10% 10.87% 19.58% 19.95% 0.06% 100.00%

M 15.58% 28.05% 3.71% 2.38% 10.98% 18.09% 20.93% 0.29% 100.00%Other F 52 151 85 110 246 124 205 277 1250

M 78 187 127 130 303 148 304 249 1526F 4.16% 12.08% 6.80% 8.80% 19.68% 9.92% 16.40% 22.16% 100.00%

M 5.11% 12.25% 8.32% 8.52% 19.86% 9.70% 19.92% 16.32% 100.00%Not applicable F 4883 7657 2775 4270 10124 8112 13559 14327 65707

M 5831 8641 2916 4535 11740 9053 16864 17283 76863F 7.43% 11.65% 4.22% 6.50% 15.41% 12.35% 20.64% 21.80% 100.00%

M 7.59% 11.24% 3.79% 5.90% 15.27% 11.78% 21.94% 22.49% 100.00%BCC 1135 1365 1223 1285 1995 1689 3134 1323 13149

8.63% 10.38% 9.30% 9.77% 15.17% 12.85% 23.83% 10.06% 100.00%SHG 2360 1760 216 278 1653 1393 4698 846 13204

17.87% 13.33% 1.64% 2.11% 12.52% 10.55% 35.58% 6.41% 100.00%Vanitha Vedi 192 123 117 112 232 229 447 232 1684

11.40% 7.30% 6.95% 6.65% 13.78% 13.60% 26.54% 13.78% 100.00%


48 FAITH BASED AND SOCIAL ORGANIZATIONS (Continuied)




Grand Total

Fishermen Forum 1242 764 3 8 1267 1933 3879 1276 1037211.97% 7.37% 0.03% 0.08% 12.22% 18.64% 37.40% 12.30% 100.00%

Fish vending women’s forum 220 202 1 6 362 230 908 107 2036

10.81% 9.92% 0.05% 0.29% 17.78% 11.30% 44.60% 5.26% 100.00%DCMS 5 11 115 34 15 73 81 22 356

1.40% 3.09% 32.30% 9.55% 4.21% 20.51% 22.75% 6.18% 100.00%AA 6 5 0 3 9 13 33 7 76

7.89% 6.58% 0.00% 3.95% 11.84% 17.11% 43.42% 9.21% 100.00%KCSL 185 222 74 38 163 185 157 3 1027

18.01% 21.62% 7.21% 3.70% 15.87% 18.01% 15.29% 0.29% 100.00%KCYM 403 341 448 411 457 423 686 129 3298

12.22% 10.34% 13.58% 12.46% 13.86% 12.83% 20.80% 3.91% 100.00%KLCA 91 102 70 61 138 82 96 24 664

13.70% 15.36% 10.54% 9.19% 20.78% 12.35% 14.46% 3.61% 100.00%Prayer Group 1039 578 187 245 837 621 978 280 4765

21.80% 12.13% 3.92% 5.14% 17.57% 13.03% 20.52% 5.88% 100.00%Pious Associations 472 464 181 244 1244 1263 1746 2448 8062

5.85% 5.76% 2.25% 3.03% 15.43% 15.67% 21.66% 30.36% 100.00%Catechism Teacher 115 160 141 181 215 214 252 225 1503

7.65% 10.65% 9.38% 12.04% 14.30% 14.24% 16.77% 14.97% 100.00%Sports 50 77 19 34 159 145 183 24 691

7.24% 11.14% 2.75% 4.92% 23.01% 20.98% 26.48% 3.47% 100.00%Arts 97 74 37 66 136 123 151 7 691

14.04% 10.71% 5.35% 9.55% 19.68% 17.80% 21.85% 1.01% 100.00%Trade Union 86 179 48 71 179 180 95 9 847

10.15% 21.13% 5.67% 8.38% 21.13% 21.25% 11.22% 1.06% 100.00%Politics 2421 4509 639 361 1746 2991 3276 31 15974

15.16% 28.23% 4.00% 2.26% 10.93% 18.72% 20.51% 0.19% 100.00%Other 130 338 212 240 549 272 509 526 2776

4.68% 12.18% 7.64% 8.65% 19.78% 9.80% 18.34% 18.95% 100.00%No Data 10714 16298 5691 8805 21864 17165 30423 31610 142570

7.51% 11.43% 3.99% 6.18% 15.34% 12.04% 21.34% 22.17% 100.00%

48A SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS IN THE AGE GROUP OF 18-60 YEARS




Grand Total

BCC F 666 766 544 544 1171 989 1725 903 7308M 306 331 375 425 483 464 904 294 3582F 9.11% 10.48% 7.44% 7.44% 16.02% 13.53% 23.60% 12.36% 100.00%

M 8.54% 9.24% 10.47% 11.86% 13.48% 12.95% 25.24% 8.21% 100.00%SHG F 1545 1380 168 205 1302 1145 3807 665 10217

M 502 221 21 46 187 151 587 130 1845F 15.12% 13.51% 1.64% 2.01% 12.74% 11.21% 37.26% 6.51% 100.00%

M 27.21% 11.98% 1.14% 2.49% 10.14% 8.18% 31.82% 7.05% 100.00%DCMS F 1 5 50 20 4 39 36 4 159

M 2 4 48 11 4 22 30 13 134F 0.63% 3.14% 31.45% 12.58% 2.52% 24.53% 22.64% 2.52% 100.00%

M 1.49% 2.99% 35.82% 8.21% 2.99% 16.42% 22.39% 9.70% 100.00%AA F 3 3 0 0 1 2 7 1 17


48A SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS IN THE AGE GROUP OF 18-60 YEARS (Continuied)




Grand Total

M 1 1 0 2 4 8 17 5 38F 17.65% 17.65% 0.00% 0.00% 5.88% 11.76% 41.18% 5.88% 100.00%

M 2.63% 2.63% 0.00% 5.26% 10.53% 21.05% 44.74% 13.16% 100.00%KCSL F 34 61 23 10 33 35 41 2 239

M 43 76 19 16 22 71 53 0 300F 14.23% 25.52% 9.62% 4.18% 13.81% 14.64% 17.15% 0.84% 100.00%

M 14.33% 25.33% 6.33% 5.33% 7.33% 23.67% 17.67% 0.00% 100.00%KCYM F 107 110 157 154 117 126 186 47 1004

M 202 169 208 179 237 194 372 48 1609F 10.66% 10.96% 15.64% 15.34% 11.65% 12.55% 18.53% 4.68% 100.00%

M 12.55% 10.50% 12.93% 11.12% 14.73% 12.06% 23.12% 2.98% 100.00%KLCA F 30 45 20 19 52 25 34 9 234

M 26 32 28 22 42 26 24 11 211F 12.82% 19.23% 8.55% 8.12% 22.22% 10.68% 14.53% 3.85% 100.00%

M 12.32% 15.17% 13.27% 10.43% 19.91% 12.32% 11.37% 5.21% 100.00%Prayer Group F 467 281 78 103 396 283 417 116 2141

M 204 106 47 63 204 205 217 60 1106F 21.81% 13.12% 3.64% 4.81% 18.50% 13.22% 19.48% 5.42% 100.00%


M 68 109 49 74 277 530 410 407 1924F 6.83% 6.02% 1.89% 2.27% 15.20% 11.56% 21.50% 34.73% 100.00%


M 20 38 28 36 58 49 79 49 357F 8.20% 10.02% 9.72% 13.06% 13.36% 14.68% 15.28% 15.69% 100.00%

M 5.60% 10.64% 7.84% 10.08% 16.25% 13.73% 22.13% 13.73% 100.00%Sports F 6 7 4 5 16 15 9 1 63

M 21 43 12 14 88 64 87 21 350F 9.52% 11.11% 6.35% 7.94% 25.40% 23.81% 14.29% 1.59% 100.00%

M 6.00% 12.29% 3.43% 4.00% 25.14% 18.29% 24.86% 6.00% 100.00%Arts F 23 7 6 12 24 11 24 1 108

M 46 33 13 25 46 34 50 1 248F 21.30% 6.48% 5.56% 11.11% 22.22% 10.19% 22.22% 0.93% 100.00%

M 18.55% 13.31% 5.24% 10.08% 18.55% 13.71% 20.16% 0.40% 100.00%Trade Union F 14 34 10 11 37 22 30 0 158

M 61 104 26 50 122 142 45 5 555F 8.86% 21.52% 6.33% 6.96% 23.42% 13.92% 18.99% 0.00% 100.00%

M 10.99% 18.74% 4.68% 9.01% 21.98% 25.59% 8.11% 0.90% 100.00%Politics F 523 1090 194 96 468 808 787 2 3968

M 858 1578 232 170 694 1027 1255 24 5838F 13.18% 27.47% 4.89% 2.42% 11.79% 20.36% 19.83% 0.05% 100.00%

M 14.70% 27.03% 3.97% 2.91% 11.89% 17.59% 21.50% 0.41% 100.00%Other F 22 117 54 73 175 87 117 227 872

M 52 142 90 94 231 114 202 212 1137F 2.52% 13.42% 6.19% 8.37% 20.07% 9.98% 13.42% 26.03% 100.00%

M 4.57% 12.49% 7.92% 8.27% 20.32% 10.03% 17.77% 18.65% 100.00%No Data F 2566 4227 1667 2603 5720 4241 6665 7796 35485

M 3418 5123 1811 2803 7179 4909 9396 10012 44651F 7.23% 11.91% 4.70% 7.34% 16.12% 11.95% 18.78% 21.97% 100.00%

M 7.65% 11.47% 4.06% 6.28% 16.08% 10.99% 21.04% 22.42% 100.00%BCC 972 1097 919 969 1654 1453 2629 1197 10890

8.93% 10.07% 8.44% 8.90% 15.19% 13.34% 24.14% 10.99% 100.00%SHG 2047 1601 189 251 1489 1296 4394 795 12062

16.97% 13.27% 1.57% 2.08% 12.34% 10.74% 36.43% 6.59% 100.00%Vanitha Vedi 167 108 94 93 200 214 404 212 1492

11.19% 7.24% 6.30% 6.23% 13.40% 14.34% 27.08% 14.21% 100.00%Fishermen Forum 1072 652 3 8 1085 1759 3502 1194 9275

11.56% 7.03% 0.03% 0.09% 11.70% 18.96% 37.76% 12.87% 100.00%Fish vending

women’s forum 189 170 1 5 289 190 818 91 175310.78% 9.70% 0.06% 0.29% 16.49% 10.84% 46.66% 5.19% 100.00%

DCMS 3 9 98 31 8 61 66 17 2931.02% 3.07% 33.45% 10.58% 2.73% 20.82% 22.53% 5.80% 100.00%


48A SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS IN THE AGE GROUP OF 18-60 YEARS (Continuied)




Grand Total

AA 4 4 0 2 5 10 24 6 557.27% 7.27% 0.00% 3.64% 9.09% 18.18% 43.64% 10.91% 100.00%

KCSL 77 137 42 26 55 106 94 2 53914.29% 25.42% 7.79% 4.82% 10.20% 19.67% 17.44% 0.37% 100.00%

KCYM 309 279 365 333 354 320 558 95 261311.83% 10.68% 13.97% 12.74% 13.55% 12.25% 21.35% 3.64% 100.00%

KLCA 56 77 48 41 94 51 58 20 44512.58% 17.30% 10.79% 9.21% 21.12% 11.46% 13.03% 4.49% 100.00%

Prayer Group 671 387 125 166 600 488 634 176 324720.67% 11.92% 3.85% 5.11% 18.48% 15.03% 19.53% 5.42% 100.00%

Pious Associations 321 332 119 158 840 958 1206 1693 56275.70% 5.90% 2.11% 2.81% 14.93% 17.03% 21.43% 30.09% 100.00%

Catechism Teacher 101 137 124 165 190 194 230 204 13457.51% 10.19% 9.22% 12.27% 14.13% 14.42% 17.10% 15.17% 100.00%

Sports 27 50 16 19 104 79 96 22 4136.54% 12.11% 3.87% 4.60% 25.18% 19.13% 23.24% 5.33% 100.00%

Arts 69 40 19 37 70 45 74 2 35619.38% 11.24% 5.34% 10.39% 19.66% 12.64% 20.79% 0.56% 100.00%

Trade Union 75 138 36 61 159 164 75 5 71310.52% 19.35% 5.05% 8.56% 22.30% 23.00% 10.52% 0.70% 100.00%

Politics 1381 2668 426 266 1162 1835 2042 26 980614.08% 27.21% 4.34% 2.71% 11.85% 18.71% 20.82% 0.27% 100.00%

Other 74 259 144 167 406 201 319 439 20093.68% 12.89% 7.17% 8.31% 20.21% 10.00% 15.88% 21.85% 100.00%

No Data 5984 9350 3478 5406 12899 9150 16061 17808 801367.47% 11.67% 4.34% 6.75% 16.10% 11.42% 20.04% 22.22% 100.00%

48B SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS AMONG THE MEMBERS OF THE AGE GROUP ABOVE 60 YEARS




Grand Total

BCC F 52 100 100 108 126 77 188 52 803M 54 107 152 137 132 77 165 40 864F 6.48% 12.45% 12.45% 13.45% 15.69% 9.59% 23.41% 6.48% 100.00%

M 6.25% 12.38% 17.59% 15.86% 15.28% 8.91% 19.10% 4.63% 100.00%SHG F 158 143 24 24 133 83 302 50 917

M 42 23 3 4 20 13 65 11 181F 17.23% 15.59% 2.62% 2.62% 14.50% 9.05% 32.93% 5.45% 100.00%

M 23.20% 12.71% 1.66% 2.21% 11.05% 7.18% 35.91% 6.08% 100.00%DCMS F 0 0 6 3 4 5 4 0 22

M 0 2 8 1 1 5 3 0 20F 0.00% 0.00% 27.27% 13.64% 18.18% 22.73% 18.18% 0.00% 100.00%

M 0.00% 10.00% 40.00% 5.00% 5.00% 25.00% 15.00% 0.00% 100.00%AA F 0 0 0 0 0 0 0 0 0

M 0 0 0 1 2 1 0 1 5F 0 0 0 0 0 0 0 0 0

M 0.00% 0.00% 0.00% 20.00% 40.00% 20.00% 0.00% 20.00% 100.00%


48B SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS AMONG THE MEMBERS OF THE AGE GROUP ABOVE 60 YEARS (Ctnd.)




Grand Total

KLCA F 7 5 8 4 11 5 7 0 47M 6 9 9 11 12 5 2 0 54F 14.89% 10.64% 17.02% 8.51% 23.40% 10.64% 14.89% 0.00% 100.00%

M 11.11% 16.67% 16.67% 20.37% 22.22% 9.26% 3.70% 0.00% 100.00%Prayer Group F 134 101 32 27 75 32 79 18 498

M 57 38 17 25 41 23 50 12 263F 26.91% 20.28% 6.43% 5.42% 15.06% 6.43% 15.86% 3.61% 100.00%


M 22 43 22 40 103 78 131 126 565F 7.15% 6.45% 2.48% 3.77% 18.07% 9.63% 25.42% 27.01% 100.00%


M 1 2 3 6 5 6 5 6 34F 6.38% 6.38% 21.28% 17.02% 12.77% 12.77% 10.64% 12.77% 100.00%

M 2.94% 5.88% 8.82% 17.65% 14.71% 17.65% 14.71% 17.65% 100.00%Sports F 0 0 0 0 1 0 1 1 3

M 0 3 0 0 2 6 2 2 15F 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% 33.33% 33.33% 100.00%

M 0.00% 20.00% 0.00% 0.00% 13.33% 40.00% 13.33% 13.33% 100.00%Arts F 3 1 1 1 0 0 0 0 6

M 3 3 1 6 1 4 3 0 21F 50.00% 16.67% 16.67% 16.67% 0.00% 0.00% 0.00% 0.00% 100.00%

M 14.29% 14.29% 4.76% 28.57% 4.76% 19.05% 14.29% 0.00% 100.00%Trade Union F 1 3 2 2 1 0 3 0 12

M 4 13 4 10 7 13 3 3 57F 8.33% 25.00% 16.67% 16.67% 8.33% 0.00% 25.00% 0.00% 100.00%

M 7.02% 22.81% 7.02% 17.54% 12.28% 22.81% 5.26% 5.26% 100.00%Politics F 116 181 47 20 80 110 126 1 681

M 110 253 42 25 94 152 181 3 860F 17.03% 26.58% 6.90% 2.94% 11.75% 16.15% 18.50% 0.15% 100.00%

M 12.79% 29.42% 4.88% 2.91% 10.93% 17.67% 21.05% 0.35% 100.00%Other F 5 12 11 16 14 14 23 19 114

M 7 23 14 25 32 10 27 25 163F 4.39% 10.53% 9.65% 14.04% 12.28% 12.28% 20.18% 16.67% 100.00%

M 4.29% 14.11% 8.59% 15.34% 19.63% 6.13% 16.56% 15.34% 100.00%No Data F 538 847 430 625 1081 640 1152 1039 6352

M 578 831 382 599 1137 771 1414 1261 6973F 8.47% 13.33% 6.77% 9.84% 17.02% 10.08% 18.14% 16.36% 100.00%

M 8.29% 11.92% 5.48% 8.59% 16.31% 11.06% 20.28% 18.08% 100.00%BCC 106 207 252 245 258 154 353 92 1667

6.36% 12.42% 15.12% 14.70% 15.48% 9.24% 21.18% 5.52% 100.00%SHG 200 166 27 28 153 96 367 61 1098

18.21% 15.12% 2.46% 2.55% 13.93% 8.74% 33.42% 5.56% 100.00%Vanitha Vedi 21 12 25 22 24 9 28 18 159

13.21% 7.55% 15.72% 13.84% 15.09% 5.66% 17.61% 11.32% 100.00%Fishermen Forum 149 117 0 0 185 198 375 102 1126

13.23% 10.39% 0.00% 0.00% 16.43% 17.58% 33.30% 9.06% 100.00%Fish vending

women’s forum 36 40 0 2 71 38 122 25 334

10.78% 11.98% 0.00% 0.60% 21.26% 11.38% 36.53% 7.49% 100.00%DCMS 0 2 14 4 5 10 7 0 42

0.00% 4.76% 33.33% 9.52% 11.90% 23.81% 16.67% 0.00% 100.00%AA 0 0 0 1 2 1 0 1 5

0.00% 0.00% 0.00% 20.00% 40.00% 20.00% 0.00% 20.00% 100.00%0.00% 9.38% 15.63% 12.50% 12.50% 15.63% 25.00% 9.38% 100.00%

KLCA 13 14 17 15 23 10 9 0 101


48B SEX-WISE INVOLVEMENT IN FAITH BASED AND SOCIAL ORGANIZATIONS AMONG THE MEMBERS OF THE AGE GROUP ABOVE 60 YEARS




Grand Total

12.87% 13.86% 16.83% 14.85% 22.77% 9.90% 8.91% 0.00% 100.00%Prayer Group 191 139 49 52 116 55 129 30 761

25.10% 18.27% 6.44% 6.83% 15.24% 7.23% 16.95% 3.94% 100.00%Pious Associations 94 108 47 78 285 175 387 398 1572

5.98% 6.87% 2.99% 4.96% 18.13% 11.13% 24.62% 25.32% 100.00%Catechism Teacher 4 5 13 14 11 12 10 12 81

4.94% 6.17% 16.05% 17.28% 13.58% 14.81% 12.35% 14.81% 100.00%Sports 0 3 0 0 3 6 3 3 18

0.00% 16.67% 0.00% 0.00% 16.67% 33.33% 16.67% 16.67% 100.00%Arts 6 4 2 7 1 4 3 0 27

22.22% 14.81% 7.41% 25.93% 3.70% 14.81% 11.11% 0.00% 100.00%Trade Union 5 16 6 12 8 13 6 3 69

7.25% 23.19% 8.70% 17.39% 11.59% 18.84% 8.70% 4.35% 100.00%Politics 226 434 89 45 174 262 307 4 1541

14.67% 28.16% 5.78% 2.92% 11.29% 17.00% 19.92% 0.26% 100.00%Other 12 35 25 41 46 24 50 44 277

4.33% 12.64% 9.03% 14.80% 16.61% 8.66% 18.05% 15.88% 100.00%No Data 1116 1678 812 1224 2218 1411 2566 2300 13325

8.38% 12.59% 6.09% 9.19% 16.65% 10.59% 19.26% 17.26% 100.00%

49 SEX WISE PARTICIPATION IN HOLY MASS

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Daily 1191 0.55% 2117 0.97% 537 0.25% 751 0.34% 2291 1.05%2 F 718 0.33% 1327 0.61% 284 0.13% 403 0.19% 1407 0.65%3 M 473 0.22% 790 0.36% 253 0.12% 348 0.16% 884 0.41%4 2-3 Days a week 1463 0.67% 3043 1.40% 984 0.45% 1330 0.61% 4153 1.91%5 F 808 0.37% 1778 0.82% 564 0.26% 757 0.35% 2446 1.12%6 M 655 0.30% 1265 0.58% 420 0.19% 573 0.26% 1707 0.78%7 Weekly 14430 6.62% 19213 8.82% 6177 2.84% 7476 3.43% 22678 10.41%8 F 7023 3.22% 9061 4.16% 3124 1.43% 3765 1.73% 10689 4.91%9 M 7407 3.40% 10152 4.66% 3053 1.40% 3711 1.70% 11989 5.50%

10 Yearly 924 0.42% 907 0.42% 370 0.17% 460 0.21% 974 0.45%11 F 270 0.12% 295 0.14% 125 0.06% 162 0.07% 292 0.13%12 M 654 0.30% 612 0.28% 245 0.11% 298 0.14% 682 0.31%13 Never 635 0.29% 563 0.26% 273 0.13% 543 0.25% 807 0.37%14 F 236 0.11% 183 0.08% 109 0.05% 210 0.10% 308 0.14%15 M 399 0.18% 380 0.17% 164 0.08% 333 0.15% 499 0.23%16 No data 1144 0.53% 2348 1.08% 535 0.25% 2106 0.97% 1428 0.66%17 F 530 0.24% 1163 0.53% 250 0.11% 1021 0.47% 706 0.32%18 M 614 0.28% 1185 0.54% 285 0.13% 1085 0.50% 722 0.33%

Grand Total 19787 9.08% 28191 12.94% 8876 4.07% 12666 5.81% 32331 14.84%

49 SEX WISE PARTICIPATION IN HOLY MASS (Continuied)


No Row Labels value % value % value %1 Daily 2043 0.94% 4914 2.26% 7359 3.38% 21203 9.73%2 F 1345 0.62% 3155 1.45% 4711 2.16% 13350 6.13%3 M 698 0.32% 1759 0.81% 2648 1.22% 7853 3.61%4 2-3 Days a week 1954 0.90% 5248 2.41% 4960 2.28% 23135 10.62%5 F 1169 0.54% 3129 1.44% 2888 1.33% 13539 6.22%6 M 785 0.36% 2119 0.97% 2072 0.95% 9596 4.41%7 Weekly 21661 9.94% 36570 16.79% 24996 11.48% 153201 70.33%8 F 10017 4.60% 16234 7.45% 10482 4.81% 70395 32.32%9 M 11644 5.35% 20336 9.34% 14513 6.66% 82805 38.01%

10 Yearly 537 0.25% 797 0.37% 597 0.27% 5566 2.56%11 F 168 0.08% 254 0.12% 127 0.06% 1693 0.78%12 M 369 0.17% 543 0.25% 470 0.22% 3873 1.78%13 Never 644 0.30% 644 0.30% 427 0.20% 4536 2.08%14 F 192 0.09% 242 0.11% 169 0.08% 1649 0.76%


49 SEX WISE PARTICIPATION IN HOLY MASS


No Row Labels value % value % value %15 M 452 0.21% 402 0.18% 258 0.12% 2887 1.33%16 No data 1353 0.62% 813 0.37% 453 0.21% 10180 4.67%17 F 644 0.30% 403 0.19% 190 0.09% 4907 2.25%18 M 709 0.33% 410 0.19% 263 0.12% 5273 2.42%

Grand Total 28193 12.94% 48986 22.49% 38792 17.81% 217822 100.00%

49A SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP BETWEEN 5-18 YEARS

Anjuthen-gu


thura



Grand Total 4479 8.87% 5981 11.85% 1621 3.21% 2338 4.63% 6675 13.22%

49A SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP BETWEEN 5-18 YEARS (Continuied)



10 Yearly 46 0.09% 71 0.14% 38 0.08% 442 0.88%11 F 15 0.03% 31 0.06% 15 0.03% 193 0.38%12 M 31 0.06% 40 0.08% 23 0.05% 249 0.49%13 Never 80 0.16% 51 0.10% 41 0.08% 375 0.74%14 F 26 0.05% 19 0.04% 15 0.03% 157 0.31%15 M 54 0.11% 32 0.06% 26 0.05% 218 0.43%16 No data 287 0.57% 159 0.32% 109 0.22% 2003 3.97%17 F 142 0.28% 86 0.17% 57 0.11% 999 1.98%18 M 145 0.29% 73 0.14% 52 0.10% 1004 1.99%

Grand Total 7077 14.02% 12008 23.79% 10297 20.40% 50476 100.00%


49B SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP BETWEEN 19-60 YEARS

Anjuthen-gu


thura



Grand Total 12192 9.22% 17109 12.93% 5606 4.24% 8000 6.05% 20185 15.26%

49B SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP BETWEEN 19-60 YEARS (Continuied)




Grand Total 16854 12.74% 29537 22.33% 22794 17.23% 132277 100.00%

49C SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP ABOVE >60 YEARS

Anjuthen-gu


thura


10 Yearly 116 0.66% 108 0.61% 77 0.44% 73 0.41% 108 0.61%11 F 55 0.31% 46 0.26% 35 0.20% 41 0.23% 49 0.28%


49C SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP ABOVE >60 YEARS (Continuied)




Grand Total 1860 10.54% 3502 19.85% 2347 13.30% 17641 100.00%

49C SEX-WISE PARTICIPATION IN HOLY MASS IN THE AGE GROUP ABOVE >60 YEARS (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %12 M 61 0.35% 62 0.35% 42 0.24% 32 0.18% 59 0.33%13 Never 152 0.86% 116 0.66% 74 0.42% 125 0.71% 168 0.95%14 F 79 0.45% 57 0.32% 41 0.23% 68 0.39% 95 0.54%15 M 73 0.41% 59 0.33% 33 0.19% 57 0.32% 73 0.41%16 No data 60 0.34% 151 0.86% 62 0.35% 238 1.35% 95 0.54%17 F 27 0.15% 83 0.47% 34 0.19% 115 0.65% 49 0.28%18 M 33 0.19% 68 0.39% 28 0.16% 123 0.70% 46 0.26%

Grand Total 1694 9.60% 2540 14.40% 1138 6.45% 1618 9.17% 2942 16.68%

50 PARTICIPATION IN CATECHISM CLASSES

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Regular 3366 0.46% 5392 0.73% 1468 0.20% 1820 0.25% 5681 0.77%2 F 1706 0.23% 2744 0.37% 768 0.10% 960 0.13% 2838 0.39%3 M 1660 0.23% 2648 0.36% 700 0.10% 860 0.12% 2843 0.39%4 Occassional 452 0.12% 703 0.19% 176 0.05% 155 0.04% 770 0.21%5 F 195 0.05% 249 0.07% 89 0.02% 69 0.02% 331 0.09%6 M 257 0.07% 454 0.12% 87 0.02% 86 0.02% 439 0.12%7 Never 889 0.36% 1086 0.44% 280 0.11% 421 0.17% 1419 0.58%8 F 341 0.14% 469 0.19% 137 0.06% 195 0.08% 613 0.25%9 M 548 0.22% 617 0.25% 143 0.06% 226 0.09% 806 0.33%

10 Not Applicable 12888 7.01% 16854 9.17% 6107 3.32% 7668 4.17% 21975 11.96%11 F 6277 3.42% 8298 4.52% 3047 1.66% 3850 2.09% 10824 5.89%12 M 6611 3.60% 8556 4.66% 3060 1.67% 3818 2.08% 11151 6.07%13 No data 2192 1.49% 4156 2.83% 845 0.57% 2602 1.77% 2486 1.69%14 F 1066 0.73% 2047 1.39% 415 0.28% 1244 0.85% 1242 0.84%15 M 1126 0.77% 2109 1.43% 430 0.29% 1358 0.92% 1244 0.85%

Grand Total 19787 9.45% 28191 13.37% 8876 4.26% 12666 6.40% 32331 15.21%

50 PARTICIPATION IN CATECHISM CLASSES (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Regular 3366 0.46% 5392 0.73% 1468 0.20% 1820 0.25% 5681 0.77%


50 PARTICIPATION IN CATECHISM CLASSES (Continuied)

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %2 F 1706 0.23% 2744 0.37% 768 0.10% 960 0.13% 2838 0.39%3 M 1660 0.23% 2648 0.36% 700 0.10% 860 0.12% 2843 0.39%4 Occassional 452 0.12% 703 0.19% 176 0.05% 155 0.04% 770 0.21%5 F 195 0.05% 249 0.07% 89 0.02% 69 0.02% 331 0.09%6 M 257 0.07% 454 0.12% 87 0.02% 86 0.02% 439 0.12%7 Never 889 0.36% 1086 0.44% 280 0.11% 421 0.17% 1419 0.58%8 F 341 0.14% 469 0.19% 137 0.06% 195 0.08% 613 0.25%9 M 548 0.22% 617 0.25% 143 0.06% 226 0.09% 806 0.33%


Grand Total 19787 9.45% 28191 13.37% 8876 4.26% 12666 6.40% 32331 15.21%

50A SEX-WISE PARTICIPATION IN CATECHISM CLASSES AMONG THE MEMBERS OF THE AGE GROUP 5-15 YEARS

Anjuthen-gu


thura



Grand Total 3566 10.01% 4841 12.99% 1220 2.90% 1820 6.03% 5300 13.47%

50A SEX-WISE PARTICIPATION IN CATECHISM CLASSES AMONG THE MEMBERS OF THE AGE GROUP 5-15 YEARS (Continuied)


No Row Labels value % value % value %1 Regular 3911 5.90% 7310 11.03% 6261 9.45% 29397 44.37%2 F 1967 2.97% 3605 5.44% 3146 4.75% 14595 22.03%3 M 1944 2.93% 3705 5.59% 3115 4.70% 14802 22.34%4 Occassional 229 0.69% 445 1.34% 581 1.75% 2154 6.50%5 F 121 0.37% 189 0.57% 242 0.73% 935 2.82%6 M 108 0.33% 256 0.77% 339 1.02% 1219 3.68%7 Never 405 1.83% 488 2.21% 456 2.06% 2106 9.54%8 F 184 0.83% 218 0.99% 179 0.81% 913 4.13%9 M 221 1.00% 270 1.22% 277 1.25% 1193 5.40%

10 Not Applicable 673 4.06% 1064 6.42% 593 3.58% 4112 24.83%11 F 336 2.03% 517 3.12% 251 1.52% 1966 11.87%12 M 337 2.03% 547 3.30% 342 2.06% 2146 12.96%13 No data 298 2.25% 161 1.22% 103 0.78% 1956 14.76%14 F 148 1.12% 80 0.60% 52 0.39% 956 7.21%15 M 150 1.13% 81 0.61% 51 0.38% 1000 7.55%

Grand Total 5516 14.74% 9468 22.23% 7994 17.63% 39725 100.00%


50B SEX-WISE PARTICIPATION IN CATECHISM CLASSES AMONG THE MEMBERS OF THE AGE GROUP 16-25 YEARS

Anjuthen-gu


thura



Grand Total 3170 9.30% 4296 11.90% 1372 3.97% 1962 6.00% 4842 12.90%

50B SEX-WISE PARTICIPATION IN CATECHISM CLASSES AMONG THE MEMBERS OF THE AGE GROUP 16-25 YEARS (Continuied)


No Row Labels value % value % value %1 Regular 1082 0.97% 2188 1.97% 2406 2.16% 9603 8.63%2 F 536 0.48% 1085 0.97% 1432 1.29% 5096 4.58%3 M 546 0.49% 1103 0.99% 974 0.87% 4507 4.05%4 Occassional 158 0.28% 554 1.00% 1203 2.16% 2763 4.96%5 F 63 0.11% 201 0.36% 418 0.75% 1007 1.81%6 M 95 0.17% 353 0.63% 785 1.41% 1756 3.15%7 Never 556 1.50% 838 2.26% 971 2.62% 3971 10.70%8 F 231 0.62% 324 0.87% 380 1.02% 1583 4.27%9 M 325 0.88% 514 1.39% 591 1.59% 2388 6.43%

10 Not Applicable 2931 10.53% 4974 17.87% 2562 9.20% 18158 65.24%11 F 1430 5.14% 2573 9.24% 1322 4.75% 9419 33.84%12 M 1501 5.39% 2401 8.63% 1240 4.46% 8739 31.40%13 No data 404 1.81% 211 0.95% 147 0.66% 2332 10.47%14 F 214 0.96% 94 0.42% 72 0.32% 1172 5.26%15 M 190 0.85% 117 0.53% 75 0.34% 1160 5.21%

Grand Total 5131 15.10% 8765 24.04% 7289 16.80% 36827 100.00%

51 PARTICIPATION IN CONFESSION

Anjuthen-gu


thura

No Row Labels value % value % value % value % value %1 Monthly 3283 0.53% 3876 0.62% 1177 0.19% 1303 0.21% 4526 0.72%2 F 1893 0.30% 2331 0.37% 630 0.10% 748 0.12% 2717 0.43%3 M 1390 0.22% 1545 0.25% 547 0.09% 555 0.09% 1809 0.29%4 Occassional 6753 2.16% 10616 3.40% 3734 1.19% 4549 1.46% 11200 3.58%5 F 3463 1.11% 5366 1.72% 1951 0.62% 2406 0.77% 5890 1.88%6 M 3290 1.05% 5250 1.68% 1783 0.57% 2143 0.69% 5310 1.70%7 Yearly 4726 2.27% 5929 2.85% 1870 0.90% 2593 1.24% 8703 4.18%8 F 2015 0.97% 2591 1.24% 909 0.44% 1219 0.59% 3759 1.80%9 M 2711 1.30% 3338 1.60% 961 0.46% 1374 0.66% 4944 2.37%

10 Never 1084 0.69% 1333 0.85% 441 0.28% 683 0.44% 1734 1.11%11 F 364 0.23% 414 0.26% 174 0.11% 246 0.16% 534 0.34%12 M 720 0.46% 919 0.59% 267 0.17% 437 0.28% 1200 0.77%13 Not Applicable 2529 2.02% 3687 2.95% 1006 0.80% 1297 1.04% 4416 3.53%14 F 1181 0.94% 1726 1.38% 487 0.39% 623 0.50% 2090 1.67%15 M 1348 1.08% 1961 1.57% 519 0.42% 674 0.54% 2326 1.86%16 No data 1412 1.36% 2750 2.64% 648 0.62% 2241 2.15% 1752 1.68%17 F 669 0.64% 1379 1.32% 305 0.29% 1076 1.03% 858 0.82%18 M 743 0.71% 1371 1.32% 343 0.33% 1165 1.12% 894 0.86%

Grand Total 19787 9.03% 28191 13.30% 8876 3.99% 12666 6.53% 32331 14.81%


51 PARTICIPATION IN CONFESSION (Continuied)


No Row Labels value % value % value %1 Monthly 6822 1.09% 6779 1.08% 4462 0.71% 32228 5.16%2 F 3731 0.60% 3859 0.62% 2522 0.40% 18431 2.95%3 M 3091 0.49% 2920 0.47% 1940 0.31% 13797 2.21%4 Occassional 8416 2.69% 16654 5.33% 13343 4.27% 75265 24.08%5 F 4125 1.32% 8359 2.67% 6525 2.09% 38085 12.19%6 M 4291 1.37% 8295 2.65% 6818 2.18% 37180 11.90%7 Yearly 5608 2.69% 14309 6.87% 11829 5.68% 55567 26.67%8 F 2443 1.17% 6176 2.96% 5321 2.55% 24433 11.73%9 M 3165 1.52% 8133 3.90% 6508 3.12% 31134 14.94%

10 Never 1411 0.90% 2236 1.43% 1635 1.05% 10557 6.76%11 F 439 0.28% 740 0.47% 656 0.42% 3567 2.28%12 M 972 0.62% 1496 0.96% 979 0.63% 6990 4.47%13 Not Applicable 4162 3.33% 8041 6.43% 6712 5.37% 31850 25.48%14 F 1942 1.55% 3806 3.04% 3164 2.53% 15019 12.01%15 M 2220 1.78% 4235 3.39% 3547 2.84% 16830 13.46%16 No data 1774 1.70% 967 0.93% 811 0.78% 12355 11.86%17 F 856 0.82% 477 0.46% 379 0.36% 5999 5.76%18 M 918 0.88% 490 0.47% 432 0.41% 6356 6.10%

Grand Total 28193 12.41% 48986 22.07% 38792 17.85% 217822 100.00%

51A SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP BETWEEN 10-18 YEARS

Anjuthen-gu


thura



Grand Total 2983 9.16% 3849 12.44% 1111 3.39% 1617 6.06% 4325 12.71%

51A SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP BETWEEN 10-18 YEARS (Continuied)



10 Never 108 0.53% 160 0.79% 134 0.66% 673 3.32%11 F 37 0.18% 68 0.34% 44 0.22% 259 1.28%


51A SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP BETWEEN 10-18 YEARS (Continuied)


No Row Labels value % value % value %12 M 71 0.35% 92 0.45% 90 0.44% 414 2.04%13 Not Applicable 506 3.12% 829 5.11% 844 5.20% 3792 23.36%14 F 205 1.26% 357 2.20% 357 2.20% 1561 9.62%15 M 301 1.85% 472 2.91% 487 3.00% 2231 13.75%16 No data 245 1.81% 112 0.83% 136 1.01% 1593 11.78%17 F 121 0.89% 58 0.43% 65 0.48% 761 5.63%18 M 124 0.92% 54 0.40% 71 0.52% 832 6.15%

Grand Total 4834 13.27% 7903 22.02% 6915 20.95% 33537 100.00%

51B SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP BETWEEN 19-60 YEARS

Anjuthen-gu


thura



Grand Total 12192 9.19% 17109 13.18% 5606 4.25% 8000 7.17% 20185 15.37%

51B SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP BETWEEN 19-60 YEARS (Continuied)




Grand Total 16854 11.98% 29537 21.94% 22794 16.92% 132277 100.00%


51C SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP ABOVE 60 YEARS

Anjuthen-gu


thura



Grand Total 2047 9.39% 2987 13.61% 1301 6.14% 1809 9.76% 3469 16.13%

51C SEX-WISE PARTICIPATION IN CONFESSION AMONG THE MEMBERS OF THE AGE GROUP ABOVE 60 YEARS (Continuied)




Grand Total 2388 10.89% 4457 20.23% 3053 13.85% 21511 100.00%

193

Annexure 2Schedule

194 TRIVANDRUM LATIN ARCHDIOCESE. PLATINUM JUBILEE SURVEY-2011

Xncp-h-\-´-]pcw e¯o³ AXn-cq-]XØnXn-hn-hc tiJ-cWw þ 2011

(Hcp IpSpw_¯n\v Hcp t^mw D]tbmKn¡pI. FÃm tNmZy§Ä¡pw D¯cw \ÂIpI. D¯c§Ä hr¯mIrXnbnÂ A\ptbmPyamb \¼dnÂ \oe t_mÄ t]\ D]tbmKn¨v hyàambn tcJs¸Sp¯pI. FgpXn ]qcn¸nt¡Ih Cw¥ojv henb A£c¯nÂ tcJs¸Sp¯pI tNmZy \¼cn\p ap¼nÂ \£{X NnÓ§Ä (*) C«ncn¡p¶ tNmZy§Ä¡v H¶nÂ IqSpXÂ D¯c§Ä \ÂImhp¶XmWv.) 1. s^tdm\ 1. A©p-sX§v 2. ]pXp-¡p-dp¨n 3. t]« 4. ]mfbw 5. henbXpd 6. tImhfw 7. ]pÃp-hnf 8. Xq¯qÀ

2. CS-hI/ k_v tÌj³..............................................................................a²yØ/³...............................................

3. _n.-kn.-kn. bqWnänsâ t]cv......................................................................................\¼À......................................

4. IpSpw_ \¼À ..........................................................................(CShIbnÂ ap³Iq«n X¿mdm¡nb enÌv t\m¡n FgpXpI)

5. ]©m-b¯v / ap³kn-¸m-enän / tImÀ¸-td-jsâ t]cv.......................................................................................................

6. ]©m-b¯v / ap³kn-¸m-enän / tImÀ¸-td-j³-þhmÀUv...............................................\¼À................................................

7. Krl-\m-Ysâbpw \mY-bpsSbpw t]cv........................................................................................................................

8. hoSnsâ taÂhn-emkw ..........................................................................................................................................

]n³ ...................................................................................t^m¬ ..................................................................

9. PmXn þ e¯o³ It¯m-en¡m hn`mKw 1. ap¡phÀ 2. \mSmÀ 3. ZfnXv {InkvXy³ 4. `cXÀ 5. Bwt¥m C³Uy³ 6. CughÀ 7. \mbÀ 8.I½mfÀ 9.AcbÀ 10. aäpÅhÀ

10. hoSnsâ DSaØX 1. kz´w 2. hmSI 3. hoSnÃ (hoSv kz´tam hmSItbm BsW¦nÂ am{Xw 11 apXÂ 14 hsc _m[IamhpIbpÅqþ ho«pSaØÀ am{Xw ]qcn¸n¡pI) (H¶ne[nIw taÂ¡qcbpÅXn\v 50 iXam\¯nÂ IqSpXÂ `mKapÅXv t\m¡n XncsªSp¡pI)

11. hoSnsâ \nehmcw 1. IpSnÂ 2. Hme-ta-ªXv 3.joäv 4. HmSv 5. tIm¬{Ioäv 6. ^vfmäv 7. _lp\ne 8. _m[IaÃ

12. ho«nse BsI apdnIfpsS F®w 1. 1þ4 apdnIÄ 2. 4 Â IqSpXÂ 3. _m[IaÃ (hnhmlw am\ZÞambn kzoIcn¨v “IpSpw_s¯’ IW¡m¡pI)

13. ho«nse IpSpw_§fpsS F®w 1. Hcp IpSpw_w 2. c IpIpSpw_w 3. aq¶p IpSpw_w 4. aq¶nÂ IqSpXÂ 5. _m[IaÃ

14. ho«nse AwK§fpsS BsI F®w 1. 1þ4 2. 5þ8 3. 8 Â IqSpXÂ 4. _m[IaÃ

15. hkvXphnsâ DSaØX 1. kz´w 2. IpSn- In-S¸v 3. ]pd-t¼m¡v 4. ]ÅnhI 5. Hän 6. `qc-ln-X³

s^tdm\ CShI bqWnäv IpSpw_w

{Ia\¼À

195

16. kz´w hkvXphnsâ hnkvXrXn þ (kz´w, IpSn-In-S¸v, ]pd-t¼m¡v, ]ÅnhI BsW¦nÂ) skânÂ 1. 1-þ5 skâv 2. 5þ10 skâv 3. 10þ15 skâv 4. 16 Â IqSpXÂ skâv 5. _m[IaÃ

17. hkvXp BcpsS t]cnÂ : 1. ]pcp-jsâ t]cnÂ 2. kv{XobpsS t]cnÂ 3. kwbp-à-ambn 4. ]«banÃ / {]amWanÃ 5. _m[IaÃ

*18. DuÀÖ hn\ntbmK§Ä : 1. ]pI-bnÃm ASp¸v 2. km-[m-cW ASp¸v 3. FÂ.]n.Pn 4. _tbmKymkv 5. kutcmÀÖw 6. sshZypXn 7. CÃ

*19. Krl D]-I-c-W-§Ä : 1. {^nUvPv 2. anIvkn 3. ss{KâÀ 4. hmjnwKv sajo³ 5. ^m³ 6. kn.-Un. ]vtfbÀ 7. tS¸v dnt¡mÀUÀ 8. I¼yq-«À 9. F.kn 10. CÃ (20 apXÂ 24 hscbpÅ tNmZy§Ä¡v D¯cambn IpSpw_¯n\p kz´ambpÅh am{Xw tcJs¸Sp¯pI)

*20. kz´-am-bpÅ hml-\-§Ä : 1. ss_ssk¡nÄ 2. SqhoeÀ 3. t^mÀ hoeÀ 4. CÃ*21. am[y-a-§Ä : 1. Zn\]{Xw 2. Poh\pw shfn¨hpw 3. Poh\mZw 4. aäp {]kn²oIcW§Ä 5. än.hn 6. em³Uv t^m¬ 7. samss_Â 8. CâÀs\äv 9. CÃ

*22. --aÕy_Ô\ D-]-I-c-W-§Ä : 1. b{´-hÂIrX t_m«p-IÄ 2. Hu«v t_mÀUv F©n³ 3. km[m-cW t_m«p-IÄ 4. hÅw 5. I«-acw 6. I-¼-he 7. Nmf he 8. X«p-aSn 9. Unkvt¡m he 10. NqI D]-I-cWw 11. I¨-he (s\-t¯m-en) 12. t{SmÄ s\äv 13. KnÂs\äv 14. hoiphe 15. Hä¯Sn hffw 16.aäpÅh 17. CÃ

*23. aäp sXmgn-ep-]-I-c-W-§Ä : 1. X¿Â sajo³ 2. Iymad/hoUntbm Iymad 3. Bt«m-dn£m / s]«n Bt«m 4. SmIvkn ImÀ/Po¸v 5. sSwt¼m 6. _Êv 7. Sn¸À/ temdn 8. sP.kn.-_n. 9.aäpÅh 10. CÃ *24. hmWnPy hyhkmbw :

1. s]«n¡S 2. tjm¸pIÄ 3. hym]mc imeIÄ 4.kzbw sXmgnÂ kwcw`w 5. hyhkmbw 6. aäpÅh. 7. CÃ

*25. Irjnþ GXpXcw Irjn : 1. s\Ãv 2. sX§v 3. dºÀ 4. \mWyhnfIÄ 5. acn¨o\n 6. hmg 7. ]¨¡dn 8. ]pjv]w 9. aÕyw 10. I¶pImen hfÀ¯Â 11. tImgnhfÀ¯Â 12. aäpÅh 13. CÃ

26. amk-sN-e-hp-IÄ (cq]bnÂ) 1. Blm-cw............... 2. hnZym-`ym-kw............... 3. acp¶v............... 4. aäp-Åh...............

27. IS_m[yX Dt m ? 1. DI v 2. CÃ

28. IS_m[yX F{X cq]? 1. _m[IaÃ 2. <-50,000 3. 50,000--1 e£w 4. 1-3 e£w 5. 3-6 e£w 6. 6--10 e£w 7. 10 e£¯n\p apIfnÂ

29. tdj³ ImÀUv Dt m ? 1. DI v 2. CÃ


30. APL BtWm ? BPL BtWm ?

1. APL 2. BPL 3. _m[IaÃ

31. BtcmKy saUn¡Â C³jzd³kv Dt Im? 1. DI v 2. CÃ

32. I¡qkv kwhn[m\w? 1. ho«nÂ/hoSnt\mSv tNÀ¶pÅXv 2. s]mXpI¡qkv 3. XpdÊmb Øew

*33. ho«mhiy¯n\v shÅw tiJcn¡p¶Xv FhnsS \n¶mWv? 1. kz´w InWÀ 2. s]mXp InWÀ 3. ss]¸v 4. s]mXpss]¸v 5. IpgÂInWÀ 6. I\mÂ 7. hnebv¡p hm§p¶ shÅw 8. agshÅ kw`cWn 9. aäp ho«nÂ \n¶v

*34. ho«n-\p-Ånse aen\Pew Hgp¡n If-bp-¶Xv FhntSbv¡mWv? 1. HmSIfnÂ 2. {IaoIcn¨ IpgnIfnÂ 3. CsXm¶paÃ

*35. Jc-am-en\y \nÀ½mÀÖ\w F§s\/FhnsS \S¯p¶p? 1. kz´w `qanbnÂ 2. s]mXp Nhäps]«nbnÂ 3. ISenÂ/ImbenÂ 4. amen\ytiJcWw 5. asähnsSsb¦nepw

(36 apXÂ -38 hsc tNmZy§Ä IpSpw_¯nÂ ]Tn¡p¶ Ip«nIÄ Ds I¦nÂ am{Xta _m[IamhpIbpÅq)

*36. ho«nÂ Ip«n-IÄ¡v ]T\ kuIcyw Dt Im ? 1. tai/ Itkc 2. ]T\ kabw 3. ]T\D]IcW§Ä 4. Ch H¶pw CÃ 5. _m[IaÃ

37. amXm-]n-Xm-¡Ä Ip«n-I-fpsS ]T-\-Im-cy-¯nÂ {i²n-¡m-dptIm ? 1. FÃmbnt¸mgpw 2. hÃt¸mgpw 3. ]co£m kab¯v 4. km[n¡mdnÃ 5. _m[IaÃ

*38. Ip«n-I-fpsS hnhn[ L«-§-fn-epÅ hnZym-`ym-k-¯n\v kvIqÄ / CS-h-I-/ CXc {]Øm\§fnÂ \n¶v t{]mÕml\sa´mWv? 1. km¼¯nIw 2. ]Tn¡m³ {]tXyI kuIcyw 3. ]T\taÂt\m«w 4. kuP\y Syqj³ 5. ssKU³kv 6. e`n¨n«nÃ 7. _m[IaÃ

39. IpSpw_¯nÂ ]n.H.kn.k¼qÀ® ss__nÄ Dt Im? 1. DI v 2. CÃ

40. Cu IpSpw_¯nÂ IpSpw_ {]mÀ°\ Dt Im? 1. DI v 2. CÃ 3. hÃt¸mgpw

41. IpSpw_¯nsâ _n.kn.kn.bnse ]¦mfn¯w 1. Øncambn 2. hÃt¸mgpw 3. t]mImdnÃ

*42. \n§Ä Xmakn¡p¶ Cu ho«nÂ Ignª aq¶v hÀj-¯n-\p-ÅnÂ acWw kw`-hn-¨n-«pt Im? Ds ¦nÂ GXphn[w? 1. kw`hn¨n«nÃ 2. inip acWw 3. hmÀ²Iy klPamb acWw 4. tcmKwsIm IpÅ acWw 5. A]ISacWw 6. BßlXy 7. sIme]mXIw 8. kzm`mhnI acWw

(*) \£{XNnNv\w DÅ tNmZy§Ä þ 18 apXÂ 25, 33þ36, 38, 42, 43 - o, p, q, r \v H¶nÂ IqSpXÂ D¯cw \ÂImw.

Trivandrum Latin Archdiocese , Platinum Jubilee; Socio-economic Survey - 2011, is conducted by TSSS and BCC jointly; for details contact Director, BCC/TSSS, “SAMANWAYA”, Latin Archbishop’s House, P.B.No. 805, Trivandrum, Kerala- 695003, Phone: 0471- 2724001, 2727123 visit:www.latinarchdiocesetrivandrum.org

197

43. hyànKX hnhcw

1

2

3

4

5

6

7

8

9

a b c d e f g h i

\¼À t]cv enwKw hbÊvIpSpw_\mY\pambpÅ _Ôw

cà{Kq¸v

sshhmlnImhØ

Pohn XmhØ

hnZym`ymk tbmKyX

1

2

3

4

5

6

7

8

9

a j k l m n *o *p *q *r s t u

\¼À ]Tn¡p¶ aoUnbw

+2>]Tn¨

hnjbw

hnZym`ymk

Øm]\hn`mKw

sXmgnÂtaJe

tPmen sN¿p¶ XkvXnI

tcmKhnhcw

ZpÈoe§Ä

sshI ey§Ä

k`m/kwLS\

{]hÀ¯\w

Znhy_enbnse]¦mfn¯w

aXt_m[\¢mÊnse

]¦mfn¯w

Ip¼kmcw

For office use only

Name Signature Date

Enumerator

Co - ordinator

Parish Priest

Data Entered by

Data Verified by

Remarks


Key for Personal Data Table

43. hyànKX hnhcwD¯c§Ä¡v ap³]mbn FgpXnbncn¡p¶ \¼À tImUv \¼cmWv. Cu tImUv \¼cpIfmWv _Ôs¸« tImf§fnÂ FgptX IXv. DZm: 2 kv{Xo þ D¯cw kv{Xo Xs¶bmsW¦nÂ tImUv 2 FgpXWw

a. b, d F¶nhbv¡v tImUnÃ. b t]cpw, d hbÊpw FgpXnt¨À¡pI.\£{X NnÓw (*) \ÂInbncn¡p¶ tNmZy§Ä¡v (o,p,q,r) H¶nÂ IqSpXÂ D¯c§Ä \ÂImhp¶XmWv.

(c) enwKw 1. ]pcpj³ 2. kv{Xo

(e) _Ôw 1. IpSpw_\mY³/\mY 2. `mcy 3. aI³ 4. aIÄ 5. acpaI³ 6. acpaIÄ 7. sIm¨paI³ 8. sIm¨paIÄ 9. AÑ³ 10. A½ 11. A½mbn A¸³ 12. A½mbn A½ 13. A¸q¸³ 14. A½q½ 15. ktlmZc³/ ktlmZcn 16. aäp _Ôp¡Ä

(f) cà{Kq¸v 1. F + 2. F-þ 3. _n+ 4. _n-þ 5. F._n + 6. F._n -þ 7. H+ 8. H-þ 9. AdnbnÃ

(g) hnhmlmhØ 1. hnhmlnX/³ 2. AhnhmlnX/³ 3. hn[pc³ 4. hn[h 5. hnhml_Ôw thÀs]Sp¯nbXv 6. `À¯mhmÂ Dt]£n¡s¸«Xv 7. `mcy hn«pt]mbXv 8. AhnhmlnXbmb A½ 9. H¶n¨p Xmakn¡p¶p

(h) PohnXmhØ

1. Ip«nIÄ (<4 yrs) 2. hnZymÀ°n/\n 3. sImgnªpt]mb hnZymÀ°n/\n (<10 std) 4. A`yØhnZycmb DtZymKmÀ°nIÄ 5. sXmgnemfn 6. sXmgnenÃm¯hÀ 7. DtZymKØ³ 8. k¶²{]hÀ¯I³ 9.s]³j\À 10.kaÀ¸nX PohnXmÀ°n 11.kaÀ¸nX-- /³

(i) hnZym`ymk tbmKyX þ ]Tn¨p ]qÀ¯nbm¡nb Gähpw D¶Xamb ]T\\nehmcw Hsc®w XncsªSp¡pI.

1. \nc£c³ 2. ]Tn¡p¶nÃ 3. A£cm`ymkw am{Xw 4. KG

5. LP 6. UP 7. HS 8. HSS

9. Degree 10. PG 11. M.Phil/ PhD 12. Professional

13. Technical 14. Certificate 15.Diploma 16. PG Diploma

17. Other

(j) aoUnbw -þ kv¡qfnÂ ]Tn¨/¡p¶ aoUnbw 1. aebmfw 2. Cw¥ojv 3. Xangv 4. lnµn

(k) hnjbw þ +2 \p tijw ]Tn¨/¡p¶ hnjbw 1. _m[IaÃ 2. `mjm kmlnXyw 3. BÀSvkv 4. kb³kv 5. tImtagvkv 6. amt\Pvsaâv 7. ss^³ BÀSvkv 8. \nbaw 9. C³Pn\obdnwKv 10. saUnkn³ 11. BÀ¡nsSIvSÀ 12. tPÀWenkw 13. I.T.I. t{SbvUpIÄ 14.aäp s{]m^jWÂ 15. Unt¹maIÄ 16. kÀ«n^n¡äpIÄ 17. aäpÅh

(l) hnZym`ymk Øm]\w (kv¡qÄ ]T\Ime¯v `qcn]£w GXp Øm]\¯nemWv ]Tn¨Xv F¶mWv CXv kqNn¸n¡p¶Xv) 1. kwØm\ FbvUUv 2. kwØm\ A¬ FbvUUv 3. kwØm\ Kh¬saâv 4.kn._n.Fkv.C 5. sF.kn.Fkv.kn 6. _m[IaÃ

199

(m) sXmgnÂ taJe 1. kÀ¡mÀ taJebnÂ 2. AÀ² kÀ¡mÀ 3. ss{]häv 4. tkh\ taJe 5. kzbwsXmgnÂ/ Iqen/aÕy_Ô\w/Irjn 6. aäp kwØm\§fnÂ 7. KÄ^v 8. bqtdm¸v 9. aäp hntZi cmPy§Ä 10. _m[IaÃ

(n) sXmgnÂ XkvXnI 1. KkäUv Hm^nkÀ 2. tUmIvSÀ 3. F³Pn\obÀ 4. A`n`mjI³ 5. A²ym]I³ 6. amt\PÀ 7. A¡u âv 8. sF. än. s{]m^j³

9. \gvkv 10. ¢mÀ¡v 11. ]yq¬ 12. ¢mkv IV 13. sshZoI³ 14. k\ymkn\n 15. t]meokv 16. Phm³ 17. am²ya {]hÀ¯I³ 18. IemImc³ 19. ImbnIXmcw 20. kmt¦XnI sXmgnÂ 21. AhnZKv[ sXmgnÂ 22. IcIuie sXmgnÂ 23. ss{UhÀ 24. aÕysXmgnemfn 25. aÕyhn]W\w 26. Iqen¸Wn¡mÀ 27. kzbw sXmgnÂ 28. Krl`cWw 29. FIvkv kÀÆokkv 30. s]³j\À 31. aäpÅh 32. sXmgnÂ CÃ

*(o) tcmK§Ä (Gähpw IqSpXÂ amcIambXmWv FgptX IXv, ap³KW\m{Ia¯nÂ 3 F®w am{Xw) 1. _m[IaÃ 2. lrZvtcmKw 3. Ub_änIv 4. Iym³kÀ 5. càk½À±w 6. F¨v.sF.hn /FbvUvkv 7. aª¸n¯w 8. atednb 9. U¦n/]\n/Nn¡p³Kp\nb 10. BkvXva 11. £bw 12. IpjvTw 13. Xz¡v tcmK§Ä 14. a´v 15. ssXtdmbvUv 16.AØn tcmK§Ä 17. shcnt¡mkv 18. hmXw 19. AeÀPn 20. am\knI tcmK§Ä 21. _p²namµyw 22. aäpÅh

*(p) ZpÈoe§Ä (ioeambn amdnbh FgpXpI) 1. aZy]m\w 2. ]pIhen 3. shäneapdp¡v 4. ab¡pacp¶v/I©mhv 5. ]m³]cmKv/]m³akme 6. _m[IaÃ

*(q) sshIey§Ä 1. AÔX 2. _[ncX 3. aqIX 4. imcocnI/am\knI hfÀ¨ CÃm¯Xv 5. apS´v 6. ssI/ImÂ \jvSs¸«Xv /kzm[o\w CÃm¯Xv 7. aäp AwKhnlo\X 8. hmbn¡m³ {]bmkw 9. D¨mcW iàn¡pdhv/CÃm¯Xv 10. hn¡v DÅXv 11. icnbmb Imgv¨ CÃm¯Xv 12. _m[IaÃ

*(r) k`m/kwLS\ {]hÀ¯\w 1. _n. kn. kn/ ip{iqjm `mchmlnIÄ 2. Fkv.F¨v.Pn/AbÂ Iq«w 3. h\nXm thZn 4. aÕysXmgnemfn t^mdw 5. aÕy I¨hS t^mdw 6. Un.kn.Fw.Fkv 7. F.F 8. sI.-kn.-F-kv.-FÂ 9. sI.kn.ssh.Fw 10. sI.FÂ.kn.F 11. {]mÀ°\m {Kq¸v 12. `à kwLS\IÄ 13. aXt_m[\ So¨À 14. ImbnIcwKw 15. IemcwKw 16. t{SbvUv bqWnb³ 17. cmjv{Sob ]mÀ«n AwKXzw 18. aäpÅh 19. _m[IaÃ

(s) Znhy_en ]¦mfn¯w 1. Znhkhpw 2. cI v /aq¶v Znhkw 3. BgvNbnsemcn¡Â 4. hÀj¯nsemcn¡Â 5. t]mImdnÃ

(t) aXt_m[\w 1. IrXyambn t]mIp¶p 2. hÃt¸mgpw t]mIp¶p 3. t]mImdnÃ 4. _m[IaÃ

(u) Ip¼kmcw 1.amk¯nsemcn¡Â 2. hÃt¸mgpw 3. hÀj¯nÂ 4. CÃ 5. _m[IaÃ


Xncph\´]pcw e¯o³ AXncq]Xm ¹män\w Pq_nen kÀtÆ þ 2011hnhctiJIÀ¡pÅ \nÀt±i§Ä

A. s]mXp\nÀt±i§Ä

I. {Ia\¼À ]qcn¸nt¡I hn[w þ (amXrI)

DZm:

s^tdm\ CShI bqWnäv IpSpw_w

5 0 0 1 0 2 5 2 2

II. Hcp IpSpw_¯n\v Hcp t^mw \ÂIpI.

III. Hcp ho«n\pÅnÂ H¶ne[nIw IpSpw_§fpsI ¦nÂ B IpSpw_§fnse F®a\pkcn¨v t^mw D]tbmKn¡pI.

IV. FÃm tNmZy§Ä¡pw D¯cw \ÂIpI. Hcp tNmZyhpw D¯cw \ÂImsX hnScpXv.

V. A\ptbmPyamb D¯c§fpsS \¼dnÂ \oe t_mÄ Pen D]tbmKn¨v hr¯mIrXnbnÂ tcJs¸Sp¯pI.

VI. ap¶nÂ \£{X NnÓw DÅ tNmZy§Ä¡v H¶nÂ IqSpXÂ D¯c§Ä sXcsªSp¡mhp¶XmWv.

VII. FgpXn ]qcn¸nt¡I Øe§fnÂ Cw¥ojv `mjbnse henb A£cw (Capital Letters) D]tbmKn¡pI.

VIII. CShIbpsS \¼À cq]XbnÂ \n¶v \ÂIp¶ enÌnÂ \n¶v FgpXpI.

IX. CShIbnÂ AwKXzapÅ IpSpw_§sf am{Xta kÀtÆbnÂ DÄs¸Sp¯mhq. hnhmlw Ign¡msX Hcpan¨v Xmakn¡p¶hÀ, s]´¡qkvX aXhn`mK¯nÂ hnizkn¡p¶hÀ F¶nhsc CShIbnÂ \n¶v HutZymKnIambn Hgnhm¡nbn«psI ¦nÂ Ahsc kÀtÆbnÂ DÄs¸Sp¯cpXv.

X. Hcp IpSpw_¯nse Hcp hyàn am{Xta s]´¡qkvXhn`mK¯nÂ t]mIp¶pÅpsh¦nepw Abmsf Cu kÀtÆbnÂ DÄs¸Spt¯ IXnÃ.

XI. \nÀ±njvS CShI AXnÀ¯nbpsS ]pd¯v Xmakn¡p¶ CShI AwK§sf AwKXzapÅ CShIbnse enÌnÂ tNÀ¯v kÀtÆbnÂ DÄs¸Spt¯ IXmWv.

XII. AwKXzapÅ hntZi¯v Xmakn¡p¶ IpSpw_§fpsSbpw kÀtÆ FSpt¡ IXmWv. AhÀ bqWnänÂ hcp¶nÃmsb¦nepw, CShIhnImcnbpsS \nÀt±ia\pkcn¨v s]mXp enÌnÂ/ _Ôs¸« enÌnÂ tNÀt¡ IXmWv.

B. tNmZym\p_Ô \nÀt±i§fpw hniZoIcW§fpw

1) s^tdm\, A\ptbmPyambXv hr¯anSpI.

2) CShI þ CShIbpsS Øew BZyw FgpXpI. AXn\ptijw CShI a²yØsâ t]scgpXpI.

3) _n.kn.kn. bqWnänsâ t]cv, \¼À. (CShI \ÂInbncn¡p¶ \¼À, hmÀUpIÄ¡pÅnÂ bqWnäv \¼cpIÄ BhÀ¯n¡p¶ps I¦nÂ hmÀUv IqsS FgpXWw) (DZm. (V/3)) (V= hmÀUv \¼À, 3= bqWnäv \¼À) 4) IpSpw_ \¼Àþ CShI ap³Iq«n X¿mdm¡nb enÌv t\m¡n FgpXpI. AÃmsb¦nÂ hnImcnbpsS \nÀt±i{]Imcw Ce£\pthI n X¿mdm¡nb enÌnse {Iatam, _n.kn.kn. lmPÀ _p¡ntem {Iatam \¼cmbn kzoIcnt¡ IXmWv. Hcp CShIbnÂ GsX¦nepw Hcp am\ZWvUw FÃm bqWnänepw kzoIcnt¡I XmWv.

5) A\ptbmPyaÃm¯Xv sh«n¡fªtijw, A\ptbmPyamb t]cv FgpXpI.

6) hmÀUn\v t]cps I¦nÂ BZyw t]cpw AXn\ptijw hmÀUp\¼dpw tcJs¸Sp¯pI. Ignª Xt±i kzbw`cW XncsªSp¸nÂ hmÀUpIÄ¡v ]pXnb \¼cpIÄ h¶Xn\mÂ kÀtÆbnepw ]pXnb hmÀUv \¼À \ÂtII XmWv. ]pXnb hmÀUv \¼À ]©mb¯v/ tImÀ¸tdj³ sa¼dnt\mSv tNmZn¨v XoÀ¨s¸Sp¯pI.

7) Krl\mYsâ t]cv BZyhpw Krl\mYbpsS t]cv c ImaXpw tcJs¸Sp¯pI. Krl\mY³ acWaSªXmsW¦nÂ Krl\mYbpsS t]cv BZyhpw, Krl\mYsâ t]cv cI maXpw, FgpXnbtijw t]cnsâ Ahkm\w {_mbv¡än\pÅnÂ (late) F¶v Cw¥ojnÂ FgpXpI. Krl\mY acWaSªXmsW¦nÂ, cI masXgpXp¶ Krl\mYbpsS t]cn\v tijw {_mbv¡änÂ (late) F¶v Cw¥ojnÂ FgpXpI.

201

8) ho«pt]cv, ho«p\¼À, kv{Soäv, Øew F¶nh IrXyambn tcJs¸Sp¯pI, land phone or mobile kzámbpÅXv tcJs¸Sp¯pI. c Ipw CÃmsb¦nÂ contact no. DsI ¦nÂ AXv tcJs¸Sp¯nbtijw {_mbv¡änÂ (“C’) F¶v CSpI.

9) CShI AwKXzapÅ e¯o³ It¯men¡ AwK§sf am{XamWv Cu kÀtÆbnÂ DÄs¸Spt¯I Xv.

10) amXm]nXm¡·mtcmsSm¸tam, ktlmZc§tfmsSm¸tam, a¡tfmsSm¸tam B{inXcmbn Xmakn¡p¶hsc hoSnÃm¯hcpsS KW¯nÂ tNÀt¡ IXmWv.

11) 11þ apXÂ 14þ hsc, hoSv kz´tam, hmSItbm BsW¦nÂ am{Xta _m[IamhpIbpÅq. AsÃ¦nÂ Gähpw Ahkm\s¯ D¯camb “_m[IaÃ’ F¶XnÂ hr¯anSpI.

hoSnsâ \nehmcw IW¡mt¡I Xv taÂ¡qcbpsS ASnØm\¯nemWv. H¶nÂ IqSpXÂ Xc§fnepÅ taÂ¡qcbpsI ¦nÂ, ]IpXnbnÂ IqSpXÂ `mKapÅXns\ B `h\¯nsâ taÂ¡qcbmbn IW¡mhp¶XmWv.

12) ho«nse apdnIfpsS F®w IW¡mt¡I Xv ASp¡f IqsS tNÀ¯mWv. Sitout, Car Pouch, Bathroom, ]pd¯pÅ ASp¡f F¶nh {]tXyI apdnbmbn FSpt¡I XmWv.

13) hnhmlw am\ZWvUambn kzoIcn¨v IpSpw_s¯ IW¡m¡pI. H¶nÂ IqSpXÂ IpSpw_§Ä hkn¡p¶ ho«nÂ, hoSv kzámbpÅbmÄ am{XamWv Cu tNmZy¯n\v D¯cw \ÂtII Xv. `mcybpw `À¯mhpw Pohn¨ncn¸psI ¦nÂ, AsÃ¦nÂ amXm]nXm¡fnÂ Hcmfpw hnhmlw Ign¡m¯ a¡fnÂ HcmÄ IqsS Xmakn¡p¶psI ¦nÂ {]tXyI IpSpw_ambn IW¡mt¡ IXmWv. amXm]nXm¡fnÂ HcmÄ am{Xta ktlmZc§fnÂ HcmÄ am{Xtam, aäp _Ô§fnÂ HcmÄ am{Xtam, IpSpw_aÃm¯ aäp _Ôp¡fmsc¦neptam Ds I¦nÂ B{inXcpsS KW¯nÂ DÄs¸Sp¯mw.

14) hoSv kzámbpÅ BÄ am{Xta Cu tNmZy¯n\v D¯cw FgpXmhq. IqSmsX B `h\¯nse FÃm IpSpw_§fnepapÅ BsI AwK§fpsS F®amWv ChnsS tcJs¸Spt¯ IXv.

15) hoSnÃmsb¦nepw hkvXp kzámbpIs ¦nÂ CXn\v D¯cw \ÂtI IXmWv. kzámbn `qan CÃm¯hÀ “`qclnXÀ’ F¶Xv hr¯¯nenSpI.

16) hkvXp kzámbpIs ¦nÂ (kz´w, IpSnInS¸v, ]ÅnhI, ]pdwt]m¡v) am{XamWv tcJs¸Spt¯I Xv.

17) hkvXphnsâ DSaØX BcpsS t]cnse¶v tcJs¸Sp¯pI.

18) \£{XNnÓw DÅ tNmZy§Ä¡v H¶nÂ IqSpXÂ tcJs¸Sp¯mhp¶XmWv. DuÀÖ hn\n tbmKw sImI pt±in¡p¶Xv ]mNIcoXn am{XaÃ. IqSmsX hnhn[Xcw DuÀÖ DdhnS§fpsS hn\ntbmKamWv Dt±in¡p¶Xv. CXnsâ D¯cw FÃm t^manepw (FÃm IpSpw_¯n\pw) tcJs¸Sp¯Ww. sshZypXn ASp¸nsÃ¦nepw, `h\¯nÂ sshZypXn Ds I¦nÂ AXv tcJs¸Spt¯ IXmWv.

19) ho«nepÅ Krtlm]IcW§Ä F¶mWv ChnsS kqNn¸n¡p¶Xv. FÃm IpSpw_§fpsSbpw t^manepw CXv tcJs¸Spt¯ XmWv.

20) 20 apXÂ 24 hscbpÅ tNmZy§Ä¡v D¯cambn IpSpw_¯n\v kzámbpÅh am{Xw tcJs¸Sp¯pI.

23) CutNmZy¯n\vD¯cambn\ÂInbncn¡p¶hml\§Ä,hcpam\amÀ¤ambnAhD]tbmKn¡psI¦nÂ am{Xw hr¯¯nÂ tcJs¸Sp¯pI. AsÃ¦nÂ AXv 20þmas¯ \¼dnÂ ]qcn¸nt¡ IXmWv.

25) kz´w ho«mhiy§Ä¡v am{XapÅ hr£§Ä IrjnbpsS KW¯nÂs¸Sp¶XÃ.

26) amk¨nehpIÄ IrXyambn tcJs¸Sp¯m³ {iant¡ IXmWv.

28) IS_m[yX IW¡m¡pt¼mÄ ISw hm§nb XpIbnÂ \n¶v ISw sImSp¯ XpI _m¦v \nt£]w F¶nh Ipd¨v FgpXm³ {i²n¡pI.

30) APL/BPL F¶Xv tdj³ ImÀUv t\m¡n FgpXpI. tdj³ ImÀUv CÃmsb¦nÂ _m[IaÃ F¶v tcJs¸Sp¯pI.

31) Govt/Private Btbm DÅ medical insurance Cu KW¯nÂs¸Sp¯mw.

32) I¡qkvCÃmsb¶pÅD¯cwChnsS{]Xo£n¡p¶nÃ.aeaq{XhnkÀÖ\wsN¿p¶amÀ¤amWvtcJs¸Spt¯I Xv. ISentem, Imbentem BsW¦nÂ XpdÊmb Øesa¶v tcJs¸Sp¯Ww.

33) ho«mhiy§Ä¡v shÅw tiJcn¡p¶Xv H¶nÂ IqSpXÂ DdhnS§fnÂ \n¶msW¦nÂ AhsbÃmw Xs¶ tcJs¸Spt¯ IXmWv.

34) aen\Pew s]mXpØet¯m kz´w ]pcbnS¯ntem Hgp¡nIfbp¶pIs ¦nÂ aq¶mas¯ D¯camWv tcJs¸Spt¯I Xv.

35) 36 apXÂ 38 hscbpÅ tNmZy§Ä ]Tn¡p¶ Ip«nIÄ DsI ¦nÂ am{Xta tcJs¸Spt¯ IXpÅq; AsÃ¦nÂ _m[IaÃ F¶v tcJs¸Sp¯m³ ad¡cpXv.

38) Supplimentary tution BsW¦nÂ kuP\y Syqj³ F¶pw night study BsW¦nÂ “]T\ taÂt\m«w’ F¶pw tcJs¸Sp¯pI.


39) IpSpw_¯nÂ (ho«neÃ); POCþ bpsS ]gb\nbahpw ]pXnb \nbahpapÅ ss__nÄ Dt Im F¶mWv ChnsS Dt±in¡p¶Xv. (Hmim\, s]´¡pkvX, KnUtbm¬; F¶o ss__nfpIÄ C¡q«¯nÂ DÄs¸Sp¯cpXv.)

40) IpSpw_{]mÀ°\: Hcp ho«nÂ Xmakn¡p¶ FÃm IpSpw_hpw Hcpan¨ncp¶mWv {]mÀ°n¡p¶ sX¦nepw, Hmtcm IpSpw_¯n\pw D¯cw “DI v’ F¶v tcJs¸Sp¯mhp¶XmWv.

42) Cu tNmZy¯n\v D¯cw ho«nsâ DSaØsâ t^manÂ am{Xw tcJs¸Sp¯pI. hoSn\pÅnÂ Xmakn¡p¶ hyàn acns¨¦nÂ am{Xw tcJs¸Sp¯pI. (kz´w amXm]nXm¡·mtcm, a¡tfm acWaSªn«psI ¦nepw acWaSªXv asämcp ho«nÂ Xmakn¨ncp¶t¸mgmsW¦nÂ ChnsS tcJs¸Sp¯cpXv.)

C. hyànKX \nÀt±i§Ä

43) 4þmas¯ t]Pnepw ~H¶mas¯ t]Pnepw FgpXnb {Ia\¼À Xs¶ BhÀ¯n¡pI. Cu t]PnÂ hyànKX hnhc§fmWv FgptX IXvþ hyànIfpsS t]cpIÄ Cw¥ojnÂ henb A£c¯nÂ FgpXpI. Krl\mY³, Krl\mY, a¡fpsS t]cpIÄ F¶nh P\\{Ia¯nÂ tcJ s¸Sp¯pI AXn\ptijw B{inXÀ Ds I¦nÂ AhcpsS t]cpw tcJs¸Sp¯pI. acWaSª hyànIfpsS t]cpIÄ FgptXI XnÃ. 43þmas¯ tNmZy§Ä¡v Bhiyamb kqNnI, aª \nd¯nepÅ t^md¯nÂ \n¶v A\ptbmPyambXp XncsªSp¯v FgpXpI. e) IpSpw_\mY\pambpÅ/ IpSpw_\mYbpambpÅ Hmtcm hyànIfpsSbpw _Ôw tcJs¸Sp¯Ww. aIsâ `mcysb acpaIsf¶pw, a¡fpsS a¡sf sIm¨paIÄ/aI³ F¶pw tcJs¸Sp¯pI. Cu KW¯nÂs¸Sm¯hsc aäp _Ôp¡sf¶p tcJs¸Sp¯pI. f) cà {Kq¸v hyàambn Adnbmsa¦nÂ am{Xw tcJs¸Sp¯pI.

g) kaÀ¸nX PohnXw \bn¡p¶hsc “AhnhmlnX³’ F¶ KW¯nÂs¸Sp¯pI.

h) ]T\amcw`n¨n«nÃm¯hscbmWv “Ip«nIÄ’ F¶Xv sIm Iv Dt±in¡p¶Xv.

i) ]Tn¨v ]qÀ¯nbm¡nb AsÃ¦nÂ ]Tn¨psIm Incn¡p¶ Gähpw Ahkm\s¯ tImgvkv tcJs¸Sp¯pI.

j) kv¡qfnÂ Gähpw IqSpXÂ hÀjw ]Tn¨ aoUnbw GsX¶v tcJs¸Sp¯pI.

k) +2þ \v tijw ]Tn¨/ ]Tn¡p¶ hnjbw FgptX IXmWv. hnjb¯nsâ hn`mKamWv ChnsS \ÂInbncn¡p¶Xv. AXn\mÂ ]Tn¡p¶/]Tn¨ hnjbw GXv hn`mK¯nÂs¸Sp¶psh¶v IrXyambn a\Ênem¡phm³ {i²n¡pI.

l) ]T\Imew IqSpXÂ GXv Øm]\¯nÂ ]Tn¨p F\vv tcJs¸Sp¯pI. ]Tn¨n«nÃmsb¦nÂ _m[IaÃ Fs¶gpXpI.

m) sXmgnÂ taJebnse hn`mK§fpw {]tXyIn¨v kÀ¡mÀ/ AÀ² kÀ¡mÀ ss{]häv F¶nh IrXyambn a\Ênem¡m³ {ian¡pI.

n) Krl`cWw am{XamsW¦nÂ am{Xsa “Krl`cWw’ F¶v tcJs¸Sp¯mhq. aäp DtZymKØsc AhcpsS sXmgnÂ XkvXnIbnÂ DÄs¸Sp¯pI.

o) H¶nÂ ¡qSpXÂ tcmK§Ä DsI ¦nÂ Gähpw amcIamb aqs¶®¯nsâ \¼cpIÄ tIma D]tbmKn¨v thÀXncns¨gpXpI. (DZm. 2,5,9) Gähpw amcIambXv BZyw \¼À CtS XmWv. (Ignª Bdp amk¯n\pÅnÂ h¶ t`Zamb tcmK§fpw Cu KW¯nÂs¸Sp¯mw. Bdv amk¯n\pap¼v t`ZambXv FgptXI XnÃ.)

p) ZpxÈoe§Ä:þ hnhctiJcWw \S¯p¶ hyàn¡v hfsc hyàambn Adnbmhp¶hbmsW¦nÂ Ah ChnsS tcJs¸Sp¯mw. AÃm¯h tNmZn¨v a\Ênem¡pI. H¶nÂ¡qSpXÂ ZpxÈoe§Ä Ds I¦nÂ Ah \¼cn«v tIma sImI v thÀXncn¨v FgpXpI. q apXÂ u hscbpÅ tNmZy§Ä¡v A\ptbmPyambh tcJs¸Sp¯pI.

socio-economic and pastoral survey a report and …

Documents