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Contents District wise Study Area: 18 0 Summary of Key Findings 19 1 Background and Context 24 2 Objectives, Methodology and Scope of Study 27 3 Review of literature 30 4 Social and Economic Conditions of Muslims in Study Area 34 5 Muslim Women in Study Areas 38 6 Muslim Women in Panchayats in West Bengal 49 7 Muslim Women in Self-help Groups 57 8 Innovations in Strengthening Decentralisation 62 9 Summary of findings, observations and conclusion 67 10 Policy Implications and Recommendations 69 11 Statistical Tables 71 a. Table 1 – 43: Distribution of Muslim women population by poverty indicator 53 - 100 b. Table 44 – 76: Distribution of Muslim women (Nadia) by poverty indicator 101 - 111 c. Table 77 – 109: Distribution of Muslim women (Howrah) by poverty indicator 112 - 123 d. Table 110 – 142: Distribution of Muslim women (Murshidabad) by poverty indicator 123 - 134 e. Table 143 – 175: Distribution of Muslim women (Murshidabad) by poverty indicator 134 - 145
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Page 1: Contents...committee (Sachar Committee), Nov. 2006, Govt. of India. Panchayat and Rural: Development Department Report of the rural Family Survey, 2006 Level and Pattern of Consumer

Contents

District wise Study Area: 18

0 Summary of Key Findings 19

1 Background and Context 24

2 Objectives, Methodology and Scope of Study 27

3 Review of literature 30

4 Social and Economic Conditions of Muslims in Study Area 34

5 Muslim Women in Study Areas 38

6 Muslim Women in Panchayats in West Bengal 49

7 Muslim Women in Self-help Groups 57

8 Innovations in Strengthening Decentralisation 62

9 Summary of findings, observations and conclusion 67

10 Policy Implications and Recommendations 69

11 Statistical Tables 71

a. Table 1 – 43: Distribution of Muslim women population by poverty indicator 53 - 100

b. Table 44 – 76: Distribution of Muslim women (Nadia) by poverty indicator 101 - 111

c. Table 77 – 109: Distribution of Muslim women (Howrah) by poverty indicator 112 - 123

d. Table 110 – 142: Distribution of Muslim women (Murshidabad) by poverty indicator 123 - 134

e. Table 143 – 175: Distribution of Muslim women (Murshidabad) by poverty indicator 134 - 145

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Preface

The human development indicators of rural women, particularly of those belonging to socially disadvantaged groups like Muslims are abysmally poor.

Nari - o - Sishu Kalyan Kendra has been working for more than a decade amongst the Muslim women in the district of Howrah towards changing the socio-economic status of Muslim women by mobilizing them into Self-help groups and building their skills and capacities. This gave us an opportunity and courage to approach the Ministry of Panchayat, Government of India for undertaking a study on the changing status of Muslim women under Panchayati Raj. The idea was to find out whether there was a change in the status of Muslim women following the regime of land reforms and strong decentralization initiatives for the last three decades in West Bengal.

When our proposal was accepted, we sought collaboration with Loka Kalyan Parishad which has a Panchayati Raj Resource Centre to strengthen local government institutions and civil society organisations. They readily agreed and collaborative research studies were undertaken in thirty two Gram Panchayats with high concentration of Muslim population in four districts of West Bengal. An expert group was constituted to finalize the design and methodology of the study.

Field studies were conducted by a research team under the direct supervision and guidance of Dr. Manab Sen, Advisor, Loka Kalyan Parishad to whom I am grateful. The draft report based on analysis of field data was presented on 28th May, 2008 before larger expert group comprising academic experts, government officials and representatives of civil society organisations. The workshop for sharing the draft report with a larger group was supported by PRIA under West Bengal Civil Society Support Programme.

The Sachar Report has already brought into sharp focus the realities of Muslim Women’s lives which also get reflected in this document.

We expect innovative policies to emerge out of this document that will help the emergence of a developmental state in active partnership with the civil society organisations.

I express my sincere gratitude to Shri Mani Sankar Ayer, Minister - in - charge of the Ministry of Panchayati Raj, Government of India and to Dr. Surya Kanta Minister - in - charge of Panchayat and Rural Development Department, Health and Family welfare Department, Government of West Bengal for their inspiration and encouragement. I owe my gratitude to the District Magistrates, the Block Development Officers, EWRs of Gram Panchayats, development functionaries of state and civil society and not last but the least more than a thousand Muslim women who always remain invisible but whose voice forms the basic foundation of this document.

August, 2008

Rahima Khatun (Secretary)

Nari – O – Sishu Kalyan Kendra Howrah

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FOREWORD Muslims in India generally and Muslim Women, in particular are a serious subject for research and in-depth analysis. However, despite their importance from the research point of view, what is published till now about them is often impressionistic or rhetorical, aimed at purveying a standpoint whose reinforcement is demanded by the terms of conventional discourse on Muslims. Unlike Hindus, Muslims are substantially the hewers of wood and drawers of water. Except for a sizable presence in the traditional artisans and handicrafts sectors, they are underrepresented in the trade, industrial sectors of the economy. One can deduce a general proposition that Muslims are conspicuous by their absence as one moves from domestic or home based production to industrial production. Worker population ratios are lower for Muslims than any other socio-religious community and this is more so in the rural areas. This research study on Muslim Women in West Bengal was carried out by Nari-O-Sishu-Kalyan Kendra (NSKK), Howrah, in close collaboration with Loka Kalyan Parishad, a civil society organization in 4 densely populated muslim districts of West Bengal. The whole field research was pioneered by Dr.Manab Sen, an erudite researcher with the help of his research staff of Loka Kalyan Parishad and NSKK. Dr. Sen has touched the problem in its proper perspective. The entire Report has condensed a remarkable amount of information, unexplored till date and presented it in a coherent and readable manner. Its emphasis on the basic issues is right and quite thought provoking.One of the striking features of the report is that they have studied the problem at the Panchayat level incorporating self-help groups and capacity creation issues involving and motivating unattached, neglected Muslim women in their economic functions. They have rightly pointed out that Muslims should be fit in the mainstream of the economy and do the rightful job in the system. My heartfelt thanks to them for this novel venture. The recent report of the High-level committee on the social-economic and educational status of the Muslims in India, also known as the Sachar Committee, is the first attempt to provide information on conditions in this community using large scale empirical data. It provides the basis for an informal debate, from an equity perspective, on the conditions of the Muslims. And I am happy to note that this research study has been scanned in the background of the Sachar Committee Report.

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Coming to the Muslim working women, it is true that women worker population ratios are lower for Muslims than any other socio religious community and this is so in the rural belt. Most interesting part of it is that Muslim women are disadvantaged not by religion alone but by complex forces including the interplay of class and gender. As suggested by SCR, traditional barriers to women’s mobility as well as child care and household responsibilities may play a crucial role in keeping Muslim women within the confines of their homes and closed to the neighbourhood. On the whole we agree with the report that Muslims suffer from deprivation on most every front. While they are doing somewhat better in certain pockets in some states, they are generally extremely backward and live in the shadow of vulnerability and poverty. And I hope and sincerely believe that this study is just a beginning and much more in depth studies should be taken by them to follow it further. A much more serious thinking is needed after the multivariate statistical analysis of the Sachar Committee data. Durga Das Roy Kolkata, 26th August , 2008

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Acknowledgement

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Selected Bibliography

Reports Towards Equality, Report of the Committee on status of women in India, 1974, Govt. of India

Social Economic and Educational Status of the Muslim Community in India: Report of the committee (Sachar Committee), Nov. 2006, Govt. of India.

Panchayat and Rural: Development Department Report of the rural Family Survey, 2006

Level and Pattern of Consumer Expenditure, 2004-05 (NSS 61st Round): National Sample Survey Organisation.

Report on Enterprises in the Unorganized Sector (2007): Arjun Sen Gupta: Government of India.

Family Health Survey (2003) : Department of Health and Family Planning, Government of India.

Books Agarwal Bina: A Field of One’s Own: Gender and Land Rights in South Asia: Cambridge University Press, New Delhi - 1994

Hossain, Zaya and Menon Ritu: Muslim Women in India: 2000-01: Oxford University Press.

Agnihotri S.B: Sex Ratio patterns in the Indian Population: Sage publication, New Delhi - 2000

Nilanjana: Status of Women and Family Welfare: Kanishka, New Delhi-2000

Parikh. S. Kirit (Ed): India Development Report, 1999-2000, Oxford University Press, New Delhi.

Development and Planning Department, Govt. of West Bengal: Human Development Report-2004

Journal Articles

Sen Amartya: Many Faces of Gender Inequality, Frontline, October-November, 2001.

G. Christopher and S. Irudaya Rajan: District Level Estimates of Fertility from India’s 2001 census: EPW: 2001.

Steven Wilkinson: A comment on the analysis in Sachar Report, EPW, March, 2001.

Rowena Robinson: Indian Muslims: The varied dimensions of marginality, EPW, March, 2001

M.A. Kalam: Conditioned Lives, EPW, March, 2001.

Javed Alam: Muslim Situation in India, EPW, January, 2008.

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Glossary of Terms

SHG: A Self-Help Group (SHG) is a registered or unregistered group of the poor having homogenous social and economic background voluntarily, coming together to save small amounts regularly, to mutually agree to contribute to a common fund and to meet their emergency needs on mutual help basis. The group members use collective wisdom and peer pressure to ensure proper end-use of credit and timely repayment thereof. In fact, peer pressure has been recognized as an effective substitute for collaterals. The groups, besides thrift and credit activities, are engaged in social and economic activities and participate in local governance and development.

SGSY: The objective of the Swarnjayanti Gram Swarozgar Yojana (SGSY) is to bring the assisted poor families (Swarozgaries) above the Poverty Line by ensuring appreciable sustained level of income over a period of time. This objective is to be achieved by inter alia organizing the rural poor into Self Help Groups (SHGs) through the process of social mobilization, their training and capacity building and provision of income generating assets.

The National Rural Employment Guarantee Act (NREGA) also known as National Rural Employment Guarantee Scheme, NREGS) is Indian legislation enacted on August 25, 2005. The NREGA provides a legal guarantee for one hundred days of employment in every financial year to adult members of any rural household willing to do public work-related unskilled manual work at the statutory minimum wage.

Gram Sabha: Gram Sabha is a body consisting of persons registered in the electoral rolls of a village or a group of villages which elect a Panchayat. Balika Samriddhi Yojana: This Yojana has been enacted to change negative family and community attitudes towards the girl child at birth and towards her mother, to improve enrolment and retention of girl children in schools, to rise the age at marriage of girls, to assist the girl to undertake income generating activities.

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Abbreviations

HDI : Human Development Index

GDI : Gender Development Index

TFR : Total Fertility Rate

EWR : Elected Women Representatives

SHG : Self Help Group

GP : Gram Panchayat

ZP : Zilla Parishad

NREGA : National Rural Employment Guarantee Act

NGO : Non Government Organization

PRI : Panchayati Raj Institution

CSO : Civil Society Organization

SGSY : Swarnajayanti Gram Swarojgar Yogona

GUS : Gram Unnayan Samity

SRSWOR : Simple Random Sampling without Replacement

MP : Member of Parliament

MLA : Member of Legislative Assembly

BPL : Below Poverty Line

SIPRD : State Institute of Panchayat & Rural Development

BDO : Block Development Officer

CCA : Community Convergent Action

SRD : Strengthening Rural Decentralization

LKP : Loka Kalyan Parishad

CBDP : Community Based Disaste Management Programme

CBO : Community Based Organization

RMP : Rural Medical Practitioner (Unregistered)

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District wise Study Area:

District Block Gram panchayat Mahespur Gram Panchayat Hirapur Gram Panchayat Hatgacha-II Gram Panchayat

Uluberia -1

Kalinagar Gram Panchayat Chara Panchla Panchla Gram Panchayat Subhararah Gram Panchayat

Howrah

Panchla

Sahapur Gram Panchayat Dhoradaha-I Gram Panchayat Natidanga-I Gram Panchayat Natidanga-II Gram Panchayat

Karimpur-II

Narayanpur-II Gram Panchayat Hridaypur Gram Panchayat Brittihuda Gram Panchayat Chapra-II Gram Panchayat

Nadia

Chapra

Mahatpur-II Gram Panchayat Bangalbari Gram Panchayat Mohua Gram Panchayat Naoda Gram Panchayat

Golpokhar-I

Hemtabad Gram PanchayatAgdimti khanti Gram Panchayat Kamalagaon Sujali Gram Panchayat Ramaganj-II Gram Panchayat

Uttar Dinajpur

Islampur

Ramaganj-I Gram Panchayat Domkal Gram Panchayat Dhulauri Gram Panchayat Madhurkul Gram Panchayat

Domkal

Goribpur Gram Panchayat Amdhara Gram Panchayat Kharibona Gram Panchayat Nashibpur Gram Panchayat

Murshidabad

Bhawangola - II

Saralpur Gram Panchayat

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0 Summary of Key Findings

A. Distinctive features of Muslim population in West Bengal

• Of the 8 districts where Muslim population is high, six are identified to be backward in terms of HDI and GDI.

• Distinctive culture in West Bengal indicates the characteristics of ‘popular Islam’ as a contrast to, upper India’s Muslim identity.

• 83% of Muslims live in rural areas and depend largely on agriculture as the major source of livelihood.

• Muslim women of poor and low-income families are invisible and reluctant to participate in the process of modernity. They are mostly engaged in self-employment and home-based work.

• The social and economic status of Muslims in general and women in particular is the direct outcome of poverty. Field survey indicates very high rates of poverty (50% to 60%), of which conditions of the half (25% to 30%) are pitiable.

• Income inequality amongst Muslims is explicit and there is an economic hierarchy in Muslim society.

• Sex-ratios do not indicate discrimination of the Muslim girl child at the time of birth.

• Female illiteracy rates are getting proportionately reduced though ‘development deficit’ in higher education is very high.

• Decadal TFR is falling though more in relatively developed districts .

• Gross enrolment of girl children in schools is higher than that of boys.

• About 50% of Muslim children are born underweight and 68% of them are anemic as their mothers are.

• Out migration of male members is very high in backward districts in search of causal or wage employment and women suffer most in those families.

B. Findings of survey of Muslim families in study area

• Landlessness is very high (60% or more) in 13 out of 16 GPs studied. Those who have lost lands because of Ganga erosion or are otherwise displaced, are living under extreme conditions of poverty.

• More than 50% of Muslim families live in kutcha house with one living room in 14 out of 16 GPs studied. 21% of Muslim families in Madhurkul GP of Domkal Block are found to be houseless.

• More than 50% of the Muslim families do not have winter clothing in 14 out of 16 GPs studied. The conditions are distressing in Saralpur GP (Bhagawangola II Block) and Mahatpur GP (Chapra Block). In spite of high cropping intensity food insecurity is moderate to high in 14 out of 16GPs studied.

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• Analysis of households by possession of consumer durables indicates that except in Panchla and Uluberia I Blocks, more than 40% of Muslim households do not have consumer durable of value exceeding Rs. 2000.

• Analysis of households by family-based workers indicates that families without any regular earner vary between 0.75% in Panchla Block and 10.20% in Chapra Block (Nadia) and Goalpokhor I Block (Uttar Dinajpur).

• Except in Panchla and Uluberia I Blocks of Howrah district where 43% of households are self-employed artisans, majority of Muslim households depend on agriculture and allied activities as their major sources of livelihood.

• Analysis of households by literacy status of 9-14 children indicates that the numbers of children never going to school are staggering-varying between 17.5% in Panchla Block and 36% in Goalpokhor Block.

• Analysis of households indicates that access to institutional credit is very low- ranging between 2% in Panchla Block and 8% in Goalpokhor I Block.

• In six out of 8 Blocks studied, out migration is noticed in more 70% of the Muslim families.

• In six out of 8 Blocks studied, female illiteracy is as high as that of scheduled caste. School drop-outs rates vary between 3% in Nasipur GP and 58% in Madhukul GP.

• Families with special disability causing vulnerability varies between 1.4% in Panchla Block and 7.34% in Karimpur II Block.

C. Status of Muslim women in study area

• Incidence of ‘talaq’ or remarriage is insignificant in Muslim women studied (0%-.2%).

• The proportionate numbers of girl children (0-5) are found to be almost equal.

• The share of children completing high level of education (10+) is found to be varying between 2% in Uttar Dinajpur district and 23% in Howrah.

• In spite of perceptions of Muslim women that public health services are available, their access is limited.

• Income inequality amongst the Muslim families studied is found to be high with a skewed distribution and a large concentration at the bottom level. Women contribute to about one-fourth of the family income.

• About one fourth of Muslim women interviewed have joined self-help group and their access to micro-credit is limited within a range of Rs. 1000.

• Association of Muslim women in village-level committees/institutions is insignificant (between 2% and 3%).

• Between 50% in Murshidabad district and 71% Uttar Dinajpur of Muslim women interviewed feel that the elected panchayat representatives are attentive to them.

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• The level of awareness of Muslim women about government programmes and services is found to be moderate but their access continues to be largely restrictive.

• In terms of entitlements, Muslim families do not seem to be deprived as more than 90% of the families studied have voter identity card and ration card.

• In terms of personal health and hygiene, Muslim women are mostly found to be using tubewell water for drinking and the sanitation coverage is found to have significantly increased.

• It is interesting to note that around 80% of Muslim women interviewed are married before 18 years of age.

D. Muslim women in Panchayats

• Except Murshidabad and Dakshin Dinajpur, the representation of Muslims is found to be disproportionate to their share of population. There is no representation of Muslim women in 8 Zilla Parishads. Around 6% of Muslim women are in Panchayat Samitis and 7% are in Gram Panchayats. Distribution of Muslim women in three-tier panchayats is skewed – more at the GP level and the least at the ZP level.

• The distribution of Muslim women in standing committees of three-tier panchayats indicates that women in general and Muslim women in particular are preferred to hold offices in areas concerning women, children and social welfare.

• The mean age of Muslim EWR is found to be 38 and 98% of them are married.

• Only 20% of Muslim EWR are found to have completed secondary education and 60% of them have come from low income families.

• Most of the Muslim EWR have expressed difficulties of performing their functions efficiently because of their lack of understanding of law, intricacies of administration and financial management compelling them to depend either on bureaucracy or on political leadership. About 80% of Muslim EWR are housewives and first-time entrants to political arena.

• About 70% of Muslim EWR have joined SHG and about 20% of them are engaged as anganwadi workers or Sahayikas of Sishu Siksha Kendra or field workers of voluntary organizations.

• 60% of Muslim EWR have received short training but they are not happy with the quality of training.

• The Muslim EWR are largely involved in facilitation of self-help groups, motivating women to construct sanitary toilets, helping women to access benefits of Janani Suraksha Yojana and of national social assistance programmes.

• Most of the Muslim EWR considers reservation to have created a positive impact on Muslim women to participate in public activities.

• A few women members of SHGs have attended meetings of gram sansad in spite of the interest of Muslim women in the activities of GP.

• Muslim women did not get wage employment under the NREGA in the study area in spite of special allocation to women.

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• There is a perceptible increase of girl children in primary schools in Muslim areas and their attendance is found to be high. Still, the drop-outs of girl children are found to be high after completion of primary education reported to be caused by perceived sense of insecurity and parental desire for early marriage.

• There is no significant variation between immunization coverage of Hindu and Muslim children but access to public health services is still found to be highly restrictive to Muslim women.

E. Muslim women in self-help groups

• The coverage of Muslim women in SHGs varies between 7% in Howrah district and 29% in Nadia district (Uttar Dinajpur 17% and Murshidabad 26%).

• NGOs took the lead in group formation (55%) followed by panchayat (28%) and co-operative (27%).

• Savings motivation is very strong in Muslim women but only 46% of the Muslim women in SHGs could access small amounts of credit (around Rs. 1000) from the group.

• 80% of Muslim women have used micro-credit for productive purposes – livestock (21%), agriculture (21%), small business (20%) and household industry (16%).

• 45% of SHGs are reported to have received some kind of assistance from GP

• 58% of SHG members are found to be involved in child education, immunization, sanitation and in social action.

• By joining SHG, Muslim women are found to be gaining in self-confidence and self esteem.

F. Implications and Recommendation

• Community–based organizations are to be developed and capacitated to act as catalysts of social change.

• Collaboration between civil society organizations (CSOs) and PRIs should be considered as an instrument of policy in local governance.

• Empowerment of excluded Muslim women through formation of self-help groups after intensive social mobilization will help to build up collective action for social and economic development.

• A process-based linkage of all SHGs with the Gram Panchayat through Gram Unnyan Samitis can help strengthening of decentralization and inclusion of Muslim women in mainstream development.

• Capacity-building of Muslim women should be adequate enabling them to articulate their needs in the meetings of gram sansad / and participate in the process of decentralized planning.

• Functional responsibilities of panchayats should be supported by adequate devolution of funds, functionaries and freedom.

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• Capacity building of Elected Muslim women representatives to panchayats can enable EWR to provide support and services to Muslim women.

• Affirmative public policy and action is need for retention of Muslim girls in school, reaching out public health services, increasing opportunities of self-employment and adequate provisions of social security.

Education and Development of Muslim Women

o General household survey shows that 15 % of illiterate women had hospital delivery whereas 50% of school passed women and 57% of high school passed women availed this facility.

o 21.2% illiterate women practice modern method of family planning, on the other end 57% of high secondary passed and above adopted the same.

o Average age at marriage is below 18 years for 80% illiterate women while it is 29% for higher secondary passed women.71% of educated women got married at or above 18years.

o Survey indicates that children of 26% illiterate women got 100% immunization coverage whereas it is 59% for Madhyamik passed women.

The data generated in the household survey is fairly indicative of higher degree of human development related to higher level of education. The primary focus of development for Muslim families in general and Muslim women in particular should be centered around their access to higher level of education.

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1 Background and Context

1.01 West Bengal has nearly 25% Muslim population which is comparable only to Assam (30.9%) and Kerala (24.7%). It has substantially high share of population in Murshidabad (63.67%), Malda (49.72%), Birbhum (35.08%), Nadia (25.41%), Uttar Dinajpur (47.36%), Dakshin 24 Parganas (47.36%), Uttar 24 Parganas (24.22%), Dakshin Dinajpur (24.02%). Of the 8 districts where Muslim population is high, six districts are identified to be backward in terms of education, health, income/consumption and physical quality of life. West Bengal has the unique characteristic of 83.22% of Muslims living in rural areas with agriculture as the principal source of livelihood.

1.02 Historically, Bengal stood apart in the context of Islamisation of the entire country, a region where Muslims were the majority but distinctly aloof. There were clear indications of mixed culture. 'Popular Islam' was considered as apt term to describe the religious rituals followed by the Muslims in rural Bengal. Dominated by an agrarian economy, they responded very little to the questions of upper India's Muslim identity. The Faraizi and Wahabi movements in which local Muslim Women were equally involved, were intrinsically related to the Muslim peasant identity. Common cultural practices of seeking blessings of the Pir Sahebs and intermingling during religious festivals particularly amongst the sub-alterns built up a strong secular tradition in Bengal

1.03 The Muslim society is heterogeneous and divided into the elite and the commoners. There is a clear rural-urban divide though outmigration for employment has exposed them to urban culture and the milieu. Even amongst the peasantry, there is class differential between the land-owning class and the landless. Partition of Bengal has affected the Muslim population because of migration of particularly the elite class to East Pakistan (now Bangladesh). Cross-cultural exchanges amongst the Muslim community between West Bengal and Bangladesh also have an influence over the lives of Muslims in West Bengal. Cross-country migration still continues and is a factor to be reckoned with. Similarly, Islampur Sub-division which is a transferred territory from Bihar has a distinct cultural mix-up.

1.04 Women in general are victims of multiple deprivation, Muslim women are in double jeopardy-being women and being Muslim. As Sachar Committee has observed, a gender-based fear of the 'public' is experienced to some degree by all women, it is magnified manifold in the case of Muslim women. Too many Muslim women particularly in rural areas feel safe within the boundaries of their home and community. Many of them (particularly those who are low-income) are sometimes reluctant to participate in the process of 'modernity' and thus withdraw into the safety of familiar orthodoxies. Hopefully with the enrollment of Muslim girls in schools and with membership of self-help groups, they have shown keen interest in joining the process of mainstream development and coming out in public spaces and raising their voice. A large number of them are, however, still remaining invisible.

1.05 Muslim women in West Bengal, as in other parts of the country, are overwhelmingly self-employed and engaged in homework. Dairy, poultry, livestock raising, sewing, embroidery, 'Zari' work, 'chikan' work, ready-made garments, 'agarbati' rolling, 'beedi' rolling are some of the occupations in which Muslim women workers are concentrated. The work conditions are characterized by low income, low wages and inter-locked market. The restriction of mobility leads to seclusion of home-based work. With the exponential growth of SHGs in West Bengal, their participation in Government programmes like SGSY is increasing though it is not uniformly the same

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everywhere. The Muslim women still have restricted access to institutional credit though most of them are in self-employment.

1.06 Women in general are the torchbearers of the community and education of Muslim women ought to be the serious concern of the community. Sachar committee has observed that in about 1161 villages where the Muslim population in West Bengal is between 1000 and 2000, there is no primary school. The 'development deficit' has, to some extent, been made up by opening sishu sikhsa kendras. Yet the problems of school drop out and quality of education remain to be very acute amongst Muslim women. Empirical observations indicate there has been a change in the mindset amongst the Muslim women and all of them want their children to go to school. Deprivation in education entitlement is still very high as in Kerala, 84.8% of the children have completed secondary education as compared to 26% in West Bengal.

1.07 Generally, women's status in terms of health is characterized by inequality based on gender. Muslim women are no exceptions in West Bengal. Anaemia, urinary tract infections, malnutrition, repeated child births, adolescent marriage and overwork take a heavy toll on Muslim women's lives. Though disaggregated data are not available, health surveys indicate that 50% of Muslim children (0-71 months) are born underweight and 68.3% of them are anaemic. Anaemic conditions of Muslim women (15-44 years) are about 68%. All these deprivations lead to dismal state of gender development amongst the Muslim community in general and particularly Muslim women in West Bengal.

1.08 West Bengal's performance in land reforms has been highly lauded in academic discourse. Since the Muslim community is largely dependent on agriculture, it is presumed that they have been directly or indirectly benefited by land reforms particularly those who are landless or share croppers. Agricultural growth between 1981 and 1991 has also been high in West Bengal. There is reason to believe that the benefit of agricultural growth has percolated to the Muslim peasantry too.

1.09 Many scholars have observed that institutionalization of panchayats and land reforms are the major factors for agricultural growth and consequent poverty reduction in West Bengal. The members in all the three tiers of panchayats are directly elected and West Bengal has historical record of holding elections in regularity. Panchayats in West Bengal played an important role in land reforms and are entrusted with the responsibilities of implementing poverty alleviation programs.

The outcome of these developments ought to positively influence the economic and social status of Muslim community in general and Muslim women in particular. More so, one third of elected representatives are women. Of late, the policy of the State government is to strengthen the process of decentralization and several changes in law for strengthening grass-roots democracy and people-centered development have been done. Institutional changes and democratic processes of local governance should also influence Muslim women to participate in democratic decentralization and participatory development.

1.10 Formation of self-help groups (mostly women groups) is a significant process of women empowerment and the growth is found to be exponential in the current decade. Studies reveal that all these women groups are involved in micro-finance activities. The scope of social intermediation is high through these grass-roots level institutions of the poor women. Panchayats have helped in facilitating self-help groups under SGSY. The present policy of the State government is to organize gram

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unnyan samity (GUS) including the women and the poorer sections of the community to plan and implement micro-level interventions which should also influence the life and livelihood of Muslim women in the rural areas of West Bengal. This is in short, the context in which the study has been designed.

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2 Objectives, Methodology and Scope of Study

2.01 In the context of the decentralization and development initiatives in West Bengal, the following outcomes are expected:

a) The benefits of land reforms should have impacted the livelihood of Muslim women who are largely dependent on agrarian economy;

b) The Panchayati Raj Institutions which are democratically elected institutions and mandated to plan for and prepare schemes of economic development and social justice should be inclusive of poor Muslim women as partners in the process of participatory development;

c) Self-help groups of poor women which are exponentially growing in West Bengal should have influenced the poor Muslim women to be mobilized into self-help groups as their own self-managed and self-governed grass-roots level organizations.

In the pilot phase, the data generated in rural family survey (2006) from 21 GPs of Murshidabad, Nadia and Uttar Dinajpur districts where Muslim population was very high were tested and based on analysis of the data, the study design was framed. (Table 36.1 to Table 36.12)

2.02 The primary objective of the study is to find out the present socio-economic ststus of Muslim women in the selected districts and to capture the changes that are observed in their lives and livelihoods. The secondary objective of the study is to find out how the changes, if any, have been influenced by the process of democratic decentralization and developmental interventions of the local government institutions.

2.03 For the purpose of the study, multi-stage sampling design was followed:

a) In the first stage, two districts from the backward areas and two districts from the relatively developed areas were selected based on human development index of the Development and Planning Development, Government of West Bengal. The districts were selected by a second parameter which is the concentration of Muslim population.

b) In the second stage, two Blocks were selected for each district totaling eight Blocks strictly on the highest concentration of Muslim population.

c) In the third stage, four Gram Panchayats in each Block totaling thirty-two Gram Panchayats were selected strictly on the basis of Muslim concentration of population.

d) In the fourth stage, two gram sansads (basic constituency of a GP) from each GP totaling 32 gram sansads were selected on the basis of highest and lowest concentration of Muslim population.

e) In the fifth stage, proportionate number of households were randomly selected from three strata of Muslim population based on socio-economic status (low, medium, high) by SRSWOR method.

2.04 In the survey design, besides sample survey of households, the following instruments were used:

a) Interview of the elected women representatives of Gram Panchayat, school teachers, anganwadi workers, health workers, opinion leaders in the survey areas;

b) Focus group discussions with self-help groups currently functional in the survey areas;

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c) Collection of secondary information from the Gram Panchayats; d) Case studies from Muslim-dominated areas in the districts where good practices

are reported.

2.05 The field survey was undertaken in the following areas of selected districts:

Sl. No. District Blocks Gram

Panchayats Sansads Households

1. Murshidabad 2 8 16 295

2. Uttar Dinajpur 2 8 16 332

3. Howrah 2 8 16 200

4. Nadia 2 8 16 259

Total 8 32 64 1086

2.06 Research Questions:

The questionnaire of household survey, focus group discussions with SHGs, interviews with elected women representatives, school teachers, anganwadi workers etc. centred around the following issues;

a) Status of Muslim women and their households in terms of elementary education, health, employment, food security and other physical aspects of life and livelihood.

b) Participation of Muslim women in self-help groups and related activities leading to change in their socio-economic status.

c) Participation in the meetings of gram sansad and gram sabha and linkages with local government institutions.

d) Access to government programmes and services. e) Empowerment of Muslim women in controlling their lives and livelihood.

2.07 The study was undertaken by Nari-o-Sishu Kalyan Kendra, Howrah in association with Loka Kalyan Parishad which is a credible organization in West Bengal collaborating with the Panchayat and Rural Development Department, Government of West Bengals to strengthen the process of decentralization and democratic governance. It was guided by Dr. Manab Sen who had been a senior faculty member of the State Institute of Panchayats and Rural Development, Kalyani. The team of investigators were trained by and worked under Dr. Sen. A consultative group was formed to seek academic advice from experts in the field.

2.08 The present study is primarily empirical. It is based on observations of quite a large number of women in the setting of their daily life and living. Furthermore, the women were not purposively selected in order to obtain unbiased representation of the universe. It rather aims at drawing valid inferences about women's status from experiences of their daily life. The central query around which the study veers is that, in spite of persisting gender inequalities and strains, how the Muslim society and for that matter, the key units at the grass-roots, such as households and families, tend to cope. The study attempts to reflect the status of Muslim women from their point of view and not always on the vies of outsiders to her life and livelihood.

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2.09 Disaggregated data on the basis of religious groupings are not available either from the panchayats or from the line departments who do not always maintain village-level data on many programmes implemented by them. Moreover, because of limited functional, financial and functionary devolution in West Bengal, it will be unfair to ascribe the results to panchayats in each case of lapse or failure.

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3 Review of literature

3.01 Literature on Muslim women is as scarce as their visibility in public space. The Muslim women are largely confined in the precincts of 'choola, chadar and chardeewari'. India Human Development Report (1999) reflects inequality of percapita income and relative deprivation of Muslim community. Compared to women of other religions, Muslim women's participation in the workforce is much less. According to the Report of the Committee of Governors on the Welfare of Minorities submitted to the President of India (1977), Muslims are educationally backward and female illiteracy among minorities is even more dismal. It admits that the progress and well being of the Muslim community is closely linked up with the literacy of Muslim women. This initial disadvantage means that Muslims are unable to enter institutions of higher education. Muslim women, generally deprived of the opportunities of higher education, lose out in the employment opportunities. They also have least access to government provided health care services. The higher crude birth rate, according to the India Human Development Report, is a direct response to the high degree of insecurity faced by the poor Muslim women. The National Commission for Women too expressed concern on the slow rate of change in Muslim women compared to women of other socio-religious groups as also to women in other parts of the Islamic World.

3.02 Sachar Committee Report states that the problems faced by the Muslim community broadly relate to issues of identity, security and equity. Apparently, the social, cultural and public interactive spaces in India can be very daunting for Indian Muslims. Markers of Muslim identity- the 'burqua' and the 'purdah' make it difficult for them to get equal opportunities in the job market Muslim women complain of iniquitous treatment in the market, in hospitals, in schools and in accessing public facilities. Gender issues in the community are also given a Muslim slant. To the exclusion of all other aspects of a Muslim women's life (income, education, food security), the rules of marriage, right to divorce and maintenance have become the benchmarks of a gender-just existence.

3.03 As reported to Sachar Committee, education of the Muslim women is one of the most serious concerns of the Muslim community in India. Muslims, especially women have little access to government development schemes. The district pattern of Muslim women's employment in home-based work is due to vicious cycle of poverty, lack of education and technical skills leading to low-skilled, low-income work and back again to poverty. Muslim women have also insignificant access to formal credit market. The 'development deficit' in Muslim-dominated areas has had deleterious impact on the quality of life of Muslim women. The health of Muslim women is reported to be directly linked to poverty and the absence of basic services-leading to malnutrition, anaemia, a variety of diseases and poor life expectancy.

3.04 The nationwide survey undertaken by Zoya Hassan and Ritu Menon (2000-01) generated a national profile of Muslim women in all their heterogeneity. The major findings are, therefore, relevant in any study of Muslim women. These are:

a) At the all-India level, around 34 per cent of Muslims belong to low and lower

categories of socio-economic status according to the standard of living index based on ten variables used in the study;

b) Although there are variations in the status of Muslims across zones, the unmistakable fact is that they are generally poor and disadvantaged. They are at the bottom of the economic hierarchy.

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c) Muslims themselves are highly differentiated by standard of living as well as by status.

d) Close to 67 per cent of all Muslims are in socio-economic status categories of lower, lower middle and middle.

e) The extent of inequality varies significantly and the disparity between Muslims and Hindus was greater than among Muslims themselves.

f) The bulk of Muslims are absent from the wealth ranking occupations. They are mostly self-employed in low-paying, often semi-skilled works, which are unable to generate income that would significantly improve their standard of living.

g) Less than 17 percent Muslim women (ever enrolled in schools) completed eight years of schooling and 10 percent completed higher secondary, which is below the national average.

h) For all regions, children of low, lower middle and middle socio-economic categories overwhelmingly report financial constraints as the principal obstacle to continuing their studies.

i) A general devaluation of continuing education for girls is also linked to the desirability of early marriage for them, as indicated by the mean age at first marriage which is low at 15.6;

j) There is a linear progression across the age-scale of women in favour of girls being sent to co-ed schools as indicated by a gap of over 20 percentage points between the young and the old;

k) The three important reasons cited by respondents for high school drop-out rates are: financial constraints followed by family objections and marriage;

l) The rural work participation rate is only 20% for Muslim women and most of them are self-employed;

m) Where the level of poverty is high, simple survival need compels women to productive economic work and activity;

n) Most government schemes, which over the years have been made specific to target women beneficiaries, are not known and no benefit has accrued to them;

o) Overall, 89% of Muslim women voted in the elections but around 69% of them seem to be unaware of reservation of women in Panchayat elections. Only about 4% of women respondents reported to have participated in political campaign;

p) The incidence of divorce, desertion and separation is also very low (less than one percent) and remarriage (not more than 2%) amongst Muslim women contrary to popular belief;

q) Though the fact that joint decision making is slightly higher than unilateral decisions taken by husbands of Muslim women is a positive indicator but it does not necessarily follow that women are equal partners in decision-making;

r) A co-relation between education levels and mobility suggests a downward trend with higher education both with Muslim and Hindu women;

s) The cluster of four indices-marriages, mobility, decision-making and violence-developed in the study highlights the reality of women's lives lived in an environment of deprivation, exclusion/seclusion, economic dependence and overall violence in marital domestic arena.

3.05 The Sachar Committee has observed that the socio-economic status of Muslim in West Bengal is quite dismal (see tables in the annexure). West Bengal has a rich tradition of communal harmony as 'Popular Islam' has been distinct from orthodoxy. It has for long encouraged cultural intermixing. West Bengal's Muslim population is

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predominantly rural (83%) as a contrast to concentration of urban Muslim population in other parts of the country. The majority of Muslims depend on agriculture as their livelihood. Muslim population in West Bengal is heterogeneous and there are sharp class divisions in the community. Because of increasing landlessness and marginalization of land holdings, poverty amongst Muslims is also higher than Hindus in West Bengal. In the rural areas of West Bengal, the per capita monthly consumption expenditure of a Muslim family is Rs. 501 while it is Rs. 610 for a Hindu family. The literacy rate of Muslims is 57.5 percent while that of Hindus is 72.4%. Inverse relationship is seen in Karnataka, Maharastra, Andhra Pradesh, Gujrat, Madhya Pradesh, Tamilnadu and Chattisgarh. Only 12% of Muslim boys and girls passed secondary examination in West Bengal. The rate is lower in comparison to even Uttar Pradesh, Bihar and Jharkhand. Out of 10 districts in West Bengal where Muslim population is more than 20% according to 2001 census (Birbhum, Dakshin Dinajpur, Howrah, Cooch Behar, Malda, Murshidabad, Nadia, Uttar 24 Parganas, Dakshin 24 Parganas and Uttar Dinajpur), 7 districts are lagging behind in the human development index. This is indicative of backwardness of Muslim community living in rural areas of West Bengal. The inequality in human development comes sharp when we compare HDI of West Bengal with HDI of Kerala which has also almost the same share of Muslim population.

3.06 It is recognized that the Muslim community is educationally backward in West Bengal though historically educational opportunities were equal and there is a general awareness amongst the Muslim community to send their children (including girls) to school. Sachar Committee has observed that there is no primary school in 1161 villages of West Bengal where the Muslim population is between 1000 and 2000. West Bengal Madrasa Board is one of the oldest Muslim educational institutions in the country. It is not yet been recognized as a minority educational institution. About 500 Madrasas are under control of the Board. There is also acute shortage of high and higher secondary schools. The shortage figures out to more than 5000 of which, about 4000 are needed in Muslim-dominated areas. Of the 507 Madrasas recognized by the Board, 75 are recognized as higher secondary schools – only-one of them has a science stream. Muslim children (more particularly girls) seem to be deprived of the school infrastructure enabling them to step up the ladder of higher education. The consequences are high rates of drop outs and overcrowding in the existing schools. Only one Muslim child gets opportunity of higher education out of 904 as against 205 for scheduled castes, 319 for scheduled tribe and 61 for others including Hindus. Those who can afford, send their children to private schools which are proliferating even in rural areas, In the 7th All India Education Survey – 2002 (published in the annual report of Department of School Education – 2005-06), it is found that out of 24.07% of Muslim girls enrolled in the primary school, less than a half (11.84%) are in class IX-X and only 7.40% are in class XI-XII. It is evident that Muslim girls are deprived of high education though they are keenly interested to pursue higher studies.

3.07 The indicators of reproductive child health reveal that deprivation is higher in case of Muslim community in West Bengal as follows:

a) As against 43% of Hindu children (0-71 months) who are underweight, 50% of Muslim children are underweight;

b) 68.6% of Muslim children are anaemic as against 66.8% of Hindu children; c) 68.6% of Muslim pregnant women suffer from anaemia against 66.4% of Hindu

women; Secondary data also reveal that in about 3000 Muslim majority villages of West Bengal, there is no health centre. In Muslim villages, 80% of deliveries are non-

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institutional or without help of a trained midwife. Yet, TFR of Muslim women is less than 3 contrast to popular belief. It is also interesting to find that except Uttar 24 Parganas and Howrah, sex ratio is higher than average in all the districts where Muslim population is more than 20 percent. It is indicative that girl-child is not unwanted or uncared for in a Muslim family. The health of Muslim women is directly linked to poverty and the absence of basic services. Apart from malnutrition and anemia, Muslim women are also victims of occupational health hazards ('bidi' workers for example where incidence of TB is high) and unhygienic conditions of work.

3.08 The distinct pattern of Muslim women's employment in West Bengal is home-based due to discrimination in formal employment. Poor Muslim women in rural areas of West Bengal are also engaged in agriculture and allied activities like dairy, poultry and agro-processing. Muslim women are mostly self-employed. They are engaged in sewing, embroidery, 'zari' work, 'chikan' work, ready-made garments etc. Their work conditions are characterized by low income, poor work environment, absence of toilet and other facilities and lack of social security benefits like health insurance. They have no bargaining power and often subjected to exploitation of middlemen. They do not have independent access to credit facilities, opportunities for skill upgradation or access to markets. The poor women feel helpless and insecured when the male members of the family migrate in search of employment outside. Outmigration of Muslim adult male members is increasing in backward districts. Poor Muslim women do not get equal wages when they are employed in agriculture. Field research in Murshidabad district (2005-06) indicates that 70% of the families in the rural areas of Murshidabad district have at least one male adult member migrating out in search of wage employment. The migrant male workers work hard for long hours under trying conditions. Their earnings are low, they are subjected to health risks and often duped by agents. This burden ultimately falls on Muslim women, which is an additional jeopardy to them.

3.09 In political participation, the Muslims do not have proportionate representation. West Bengal has elected 15 MPs to Rajya Sabha of which two are Muslims (13.33%) Out of 42 MPs directly elected to Loka Sabha, there are 5 Muslim MPs (11.9%). Out of 294 MLAs in the West Bengal Legislative Assembly, 44 are Muslims (15%). In Kolkata Municipal Corporation, out of 141 councilors, 17 are Muslims (15%). In the PRIs too, there is no proportionate representation of Muslims. Distribution of EWRS to PRIs in West Bengal is skewed – more in GP and ZP. There seems to be a lack pf political will in giving political space to Muslims in general and Muslim women in particular.

3.10 Muslims, especially women, have virtually no access to government development schemes. Many of them have reported maltreatment at the hands of the officials. In the context of increasing ghettoisation, the absence of social services (health, schooling, ration) impacts women the most because they are reluctant to venture beyond the confines of their safe neighborhoods. Muslim women have almost no presence in decision-making positions from gram panchayats to the parliament. They even fail to find a place in minority welfare institutions set up by the government.

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4 Social and Economic Conditions of Muslims in Study Area

4.01 The distinctive features of Muslim population in West Bengal are: (see Tables 40 and 43)

a) 83% of Muslims live in rural areas of West Bengal and are largely dependent on agriculture as the principal livelihood

b) The social and economic problems faced by the poor are strongly related to poverty as the majority of them are poor and marginalized.

c) Internal differentiation amongst Muslims is explicitly recognized and the conditions of the poorest section are pitiable.

d) Gender injustice is visible from gender gap in literacy, employment and access to basic health services (See Table 37)

e) Murshidabad and Malda – the two districts having significantly large population of Muslims (63.67% and 49.72% respectively according to 2001 (census) are identified to be backward and rank very low in terms of Human Development Index as well as Gender Development Index (See Table 37)

f) The positive features of human development aspects are: i) Sex ratios are higher than the average in all the districts where the Muslims have

a significantly high population except Howrah (this has been observed by Sachar Committee too)

ii) Female illiteracy rates are getting proportionately reduced (See Table 42) iii) Decadal TFR is falling though more in relatively developed districts like Howrah

and Nadia iv) Gross enrolment of girl-children in schools is higher than that of boys (Table 42)

4.02 Analysis of household data of the eight Blocks (Tables 24-35) where the Muslim population is highest indicates that:

a) Landlessness amongst the Muslim households is very high except Islampur and Goalpokhor I which are transferred territory from the erstwhile Bihar. This is directly co-related to conditions of poverty amongst the Muslim peasantry (Table 24)

b) The conditions of housing of Muslim families living in the eight Blocks studied indicate that except Uluberia I and Panchla Blocks of Howrah District which are extensions of industrial area, more or less 50% of the Muslim families live in kutcha house with one living room (Table 25)

c) In terms of clothing, the conditions of Muslim families in Karimpur II and Chapra Blocks of Nadia district which are relatively developed in terms of HDI are appalling as more than 50% of the families do not have winter cloth to protect then against cold. These are border areas with Bangladesh and many families have been affected by the erosion of the Padma river (a tributary of the Ganges) (Table 26)

d) In spite of high cropping intensity, food insecurity does exist in large number of Muslim families (3272 in Karimpur II Block, 2499 in Chapra Block, 3822 in Domkal Block and 4308 in Goalpokhor I Block) (Table 27)

e) Analysis of households by possession of consumer durables indicates that except in Panchla Block which are extensions of industrial area, about 40% of the Muslim households do not have a consumer durable of a value more then Rs. 2000. This is indicative of their extremely low purchasing capacity. (Table 28)

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f) Analysis of households by the literacy status of the highest literate in the family indicates that drop out rates are high and this seems to go up significantly after middle school. This contributes to large deficits in higher education. Now that school enrolment rates amongst Muslims in general and Muslim girls in particular, are fast increasing, education ought to be the key concern of the community. (Table 32)

g) Analysis of households by family-based workers indicates that families without

any regular earner vary between 0.75% in Panchla Block (Howrah) and 10.20% in Goalpokhar I Block (Uttar Dinajpur). The proportionate share is high in Karimpur II (Nadia) (9.31%), Chapra (Nadia) (10.04%) and Goalpokhor I Block (Uttar Dinajpur) (10.20%) This indicates that incidence of families without any regular earner is high irrespective of the scale of general human development in the district. A significantly large number of families in Goalpokhor I Block depend on women and child labour. (Table 30)

h) Analysis of households by status of employment (Tables 31) indicates that: i) In Karimpur II, Chapra, Bhagawangola II, Domkal, Goalpokhor I and Uluberia I

Blocks, majority of the Muslim households depend on wage employment in agriculture (52.68% to 66.49%) followed by self-employment in agriculture (12.30% to 32.99%). In Panchla Block of Howrah, 43.23% of the households are self-employed artisans. (Table 31)

ii) In Uluberia I and Panchla Blocks of Howrah district, many of the Muslim women are employed as artisans (home-based workers) in unorganized sector

iii) Analysis of households by literacy status of 9-14 children indicates that the number of children (9-14) never going to school are staggering – Karimpur II (29.02%), Chapra (30.17%), Bhagawangola II (22.50%), Goalpokhor I (36.07%) and Islampur (30.40%). Drop-out rates are also high in these blocks. The drop-out rates are low in Panchla Block (17.57%), Panchla Block is extension of industrials areas. It is observed that most of the school drop-outs are either working outside or supporting the family in home-based work. (Table 32)

iv) Analysis of households by nature of household debt (See Table 33) indicates that their access to institutional debt is very low (ranging between 2.04% in Panchla

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Block and 8.11% I Goalpokhor I Block). The major sources of household debt are friends and relatives. A small share of credit needs (between 1.03% in Panchla Block and 7.29% in Karimpur II Block) is met by self-help groups or micro-finance institutions

j) Analysis of households by outmigration indicates that outmigration for casual or seasonal employment is very high in Karimpur II Block (55.49%), Chapra Block (64.5%), Domkal (51.76%), Bhagawangola (54.73%), Goalpokhor I (48.99%), Islampur (36.85%), Uluberia I (41.90%) and Panchla (24.48%). Outmigration is a direct outcome of unemployment. It is low in Panchla Block which is an extension of industrial area and Islampur Block which is close to Siliguri, growing town in North Bengal. Migration is a real life phenomenon with all its ramifications on the life, livelihood and security of women who are generally left behind. (Table 34)

k) Special disability causes more vulnerability to the poor especially women and can even cause contingent poverty. Families having a member with physical disability amongst the eight Blocks studied varies between 1.41% in Panchla Block and 7.34% in Karimpur. Families of old destitutes vary between 1.02% in Panchla Block and 4.13% in Domkal Block. Women headed households who are in double jeopardy vary between 0.89% in Panchla Block and 2.77% in Bhagawangola II Block. Chronic illness in the family adds vulnerability to the poor especially women. Families having chronic illness varies between 1.70% in Islampur Block and 10.50% in Chapra Block. All these families can not cope with such vulnerabilities without social assistance and the poor suffer the most (Table 35)

4.03 GP – Level Analysis of household data where Muslim population is 80% or more in the pipeline indicates (See Table 36.1 to Table 36.12).

a) Landlessness is very high (60% or more) in 13 out of 21 GPs studied in the first phase. In Chapra II, Mahatpur (Chapra Block), Dhulauri (Domkal Block), landlessness is found to be associated with more than 80% of the families. (Table 36.1)

b) In 13 out of 21 GPs studied, 50% or more Muslim families are living in Kutcha house with one living room. In Madhurkul GP (Domkal Block), 21% of the families are houseless. (Table 36.2)

c) In 13 out of 21 GPs studied, 50% or more families are not having adequate winter clothing. The condition is pitiable in Mahatpur GP (Chapra Block), Hridaypur GP (Chapra Block) and Saralpur GP (Bhagawangola II Block).

d) In one-thirds of 21 GPs studied, food insecurity is moderate to severe.

e) In one-third of 21 GPs studied, more than 50% of the families do not have any consumer durable of Rs. 2000/- in value.

f) In the 21 GPs studied, distribution of Muslim families by literacy status of the highest literate indicates that development deficit in higher level of education is significantly large. There is no post-graduate in eight out of twenty-one GPs studied.

g) Except in nine out of 21 GPs studied, 10% or more families are either having no regular earner or having only women and child labour. The proportion is very high in Mahua GP (Goalpokhor I Block), Ramajganj 2 GP (Islampur Block), Brittihuda GP (Chapra Block), Dhula GP (Domkal Block), and Saralpur GP (Bhagwangola II GP).

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h) In ten out of 21 GPs studied, the proportion of Muslim families dependent on daily wage employment in agriculture is more than 60%. In Hridaypur (Chapra Block), Mahatpur GP (Chapra Block), and Dhuauri (Domkal Block), the proportion is 80% or more.

i) Within the age group of 9-14 children more than 40% have never gone to school in six of 21 GPs studied. The ratio is starkingly high in Brittihuda GP (Chapra Block), Mahatpur GP (Chapra Block) and Dhulauri Block (62%).

j) In 12 out of 21 GPs studied, access to institutional credit is highly restrictive (not exceeding 4%). Access is insignificant (not exceeding 2%) in all 4 GPs (Amdahara, Kharibona, Nasipur and Saralpur of Bhagwangola II block).

k) Out migration in search of casual employment is found to be very high in 12 GPs studied. 85% of Muslim families in Saralpur GP (Bhagawangola II Block) and 69% in Dhulauri GP (Domkal Block) have one or more members as out migrants in search of casual employment.

l) Special disability makes poor families vulnerable. In one-third of 21 GPs studied, around 10% or more of the families are found to be vulnerable because of special disability. The situation is worrisome in Chapra II (Chapra Block).

To sum up, analysis of household data of the eight Blocks and 21 GPs studied reveals very high rates of landlessness, poor housing conditions, food insecurity, high drop-out rates, high rates of female illiteracy, high rates of self-employment or wage-employment, near-absence of access to institutional credit, high rates of out migration and special cases of disability Score-based ranking of these families in the eight Blocks studied indicates very high rates of poverty (50% to 60%) interims of capability, of which almost half (25%to 30%) are extremely poor. The incidence of poverty is higher in Blocks with significantly higher share of Muslim population. Women in the poor Muslim households are worst sufferers being torch bearers of the community but victims of multiple deprivations.

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5 Muslim Women in Study Areas

5.01 Field studies of 295 selected Muslim households in Murshidabad district (see Table 110 - 142) indicate that:

a) The incidence of ‘Talaq’ is minimal contrary to popular belief. A very insignificant percentage of women are either left behind by their husbands (1%) or remarried (2%).

b) In almost all the families, there are as many male children as are female children indicating that girl child is not discriminated in Muslim families.

5.02 Only 10% of Muslim women studied have passed Madhyamik (class X) examination and only 2% of women have studied beyond class X. This indicates that there is large gap in Muslim girls completing high school level education. Even in the families studied, only 16% of family members (including males) have completed high school level education.

5.03 About 38% of Muslim women do not have assets and only 23% of them have some land.

5.04 The occupational distribution of Muslim women studied indicates that 51% of them are unemployed and 40% are engaged in rearing livestock to supplement income. Only 5% of Muslim women are employed in household industry. The status of unemployment of Muslim women is a concern as it is positively linked to their economic development.

5.05 Analysis of occupational distribution of the members of Muslim households indicates that agriculture is the principal means of livelihood (65%) followed by livestock husbandry (39%), small business (19%) and households industry (9%). Thus, all the families studied are working in the unorganized sector and they depend on traditional livelihood options.

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5.06 40% of Muslim women interviewed have reported to be earning income up to Rs. 500 P.M. None of them is able to earn more than Rs. 2000 P.M. 50% women have no income.

5.07 51% of the Muslim families are having monthly income of Rs. 2000 or less and could be reckoned as poor from income point view. Based on income, 34% of them could be classified as middle class. Only 3% of the families studied are having monthly income of more than Rs. 10,000. Inequity amongst income classes is very high. Income distribution of the Muslim families is highly skewed – the bottom of the pyramid is quite large.

5.08 Analysis of Muslim households by status of food security indicates that 76% of the families studied are reported to be secured of two square meals every day but only 40% of them can afford to take protein food regularly. The survey indicates that about 30% of the families suffer from nutritional deficiency.

5.09 Analysis of women respondents by access to public health services indicates that:

(a) Only 22% of mothers had access to institutional delivery of a child and only 41% of mothers did access pre-natal health examination by the public health personnel. 69% of the mothers did receive anti-tetanus injection and 42% of the women studied got iron tablets from the health centre. Only 27% of the mothers were provided with supplementary food in pre-natal and post-natal period. 56% of the Muslim women did not practice any family planning method. One-third of Muslim women studied have adopted family planning measures.

(b) The survey indicates that children of only 32% Muslim women in villages studied had full immunization coverage, 33% partial coverage and 15% had no immunization.

(c) It is interesting to find that 86% of the Muslim women visited the health centre or the hospital though 63% of Muslim women consulted unqualified rural medical practitioner for common illness. Yet, almost 70% of them feel that there has been an increase in public health care facilities and a qualified doctor is available now.

(d) 98% of the women have reported tubewell as the source of drinking water but 49% of them did have a sanitary toilet. Drainage facility exists in 22% of the houses but only 5% of the houses are provided with a smokeless chullah.

Overall, the survey indicates that there is a growing awareness of Muslim women about public health care services but early marriage (80% of the Muslim women studied were married before 18 years of age), has its toll on health of Muslim women and their children.

5.10 26% of Muslim women studied have joined self-help group but their participation in public committees is still low- gram unnyan samity (5%), anganwadi centre (7%), mother-teacher committee (3%), 15% of the women joining self-help group could access credit and 66% of them had reported increase in income. The members have expressed various needs such as assistance of GP (88%), training (88%) bank assistance (90%) and marketing assistance (72%).

5.11 Awareness level of Muslim women about government programmes and services varies between high to very low – Indira Awas Yojana (47%), NREGA (80%),Janani Suraksha Yojana (54%), Widow Pension (42%), SGSY (75%), Balika Samriddi Yojana (9%). Those who are at the bottom of the pyramid (14%) are completely ignorant of government programmes and services.

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Analysis of Muslim women by their entitlement to public services indicates moderate to high access – 94% have ration cards, 95% voter identity card, 65% job card and 26% BPL card.

5.12 Response of Muslim women by their association with elected panchayat representatives indicates that about half of the elected representatives are responsive while the other half are either indifferent or helpless. Only about one-fourth of village-level government employees are empathetic and helpful but the rest are either not known or not visible to Muslim women. More than half of the women studied know that the panchayat’s activities include supply of drinking water and construction of roads.

5.13 The survey indicates moderate awareness of Muslim women about ‘sariat’ and laws of the country concerning women – 48% reporting knowledge of ‘sariat’ and 45% reporting knowledge of laws of marriage registration and 38% reporting knowledge about right to property of Muslim women, 47% about ‘talaq’, 45% about maintenance and 45% about domestic violence.

5.14 Field studies of 259 selected Muslim households in Nadia district (see Table 44 - 76) indicate that:

a) None of the women studied has been subjected to ‘talaq’ contrary to popular belief about Muslim identity.

b) There is a small gap between the number of male and female children in the families studied but the differential gets reduced in terms of adult membership.

5.15 16% of the Muslim women in the families studied have completed levels of high education and 13% of them have completed higher education. The educational status of Muslim women in Nadia district is comparable to their counterparts in the village community. Their deprivation of educational entitlements is minimal in Nadia district. It may be worthwhile to mention that Nadia ranks very high in the HDI compared to other districts. Over the years, the educational status of Muslim women in Nadia district is showing an increasing trend.

5.16 61% of Muslim women do not have any asset other than their own savings (34%). Only 7% of Muslim women have land and 2% of then have a house of their own.

5.17 The occupational distribution of Muslim women indicates that 71% of them are unemployed and 20% of them rear livestock to supplement income. Only 3% of Muslim women studied are employed in household industry and 2% are employed in agriculture and small business respectively. In spite of higher educational status, only 1% of women studied are in service.

5.18 Analysis of occupational distribution of the members of Muslim households indicates that agriculture is the principal means of livelihood (76%) followed by livestock rearing (24%) and small business (2%) This is indicative of little diversification in rural economy. The survey also indicates that the scope of employment is getting gradually reduced.

5.19 Distribution of Muslim women households by the range of monthly family income indicates that 64% of the households are having monthly income of Rs. 2000 or less. Only 29% of the families have monthly income upto Rs. 5000. Income distribution of Muslim families is highly skewed and income poverty is found to be very high. 27% of Muslim women studied contributed not more than Rs. 500 to the family income.

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5.20 Analysis of Muslim households by status of food security indicates that 90% of the families can secure two square meals but 47% of them can take protein food regularly. It is worthwhile to mention that Nadia has very high cropping intensity and agriculture is relatively developed.

5.21 Analysis of Muslim households by access to public health services indicates that.

(i) Only 25% of Muslim women reported institutional delivery indicating that home delivery is very high (75%). The survey indicates that facilities of institutional delivery are still not quite developed.

(ii) The pre-natal and post-natal services are also inadequate – 42% of women have had health examination, 50% of women got tetanus injection and 44% iron tablets from the public health care system. Only 14% of women interviewed reported to have received supplementary food during pregnancy.

(iii) The survey indicates that children of only 44% Muslim women in villages studied had full immunization coverage, 19% partial coverage and 14% had no immunization.

(iv) It is interesting to find that 75% of Muslim women had visited hospital and 52% had gone to the health centre. While 58% of Muslim women could consult a qualified doctor, 66% of Muslim women had to consult unqualified rural medical practioner for common illness. Access to public health services and qualified doctors is higher in Nadia and over 60% of Muslim women feel that the outreach of public health services has increased.

(v) 98% of Muslim women interviewed have reported tubewell as the source of drinking water and 61% of them have reported having a sanitary toilet in their house. Drainage facility exists in 21% of the houses but only 5% of the houses have smokeless chullah.

Overall, the survey indicates that there is a growing awareness of Muslim women about public health services but their access is still limited. It ought to be a major concern that 87% of Muslim women are married before completing 18 years of age. The health situation of Muslim women is, to some extent, better than that of Muslim women in other district. This explains why Nadia is high in human development index.

5.22 72% of Muslim women interviewed have joined self-help group and they have savings upto Rs. 1000 in the group. 28% of women in self-help groups have access to credit facilities upto Rs. 1000 from the group. 70% of Muslim women interviewed have reported marginal increase in income after joining self-help group. The participation of Muslim women is still very low- 4% of them associated with gram unnayan samity, 3% with anganwadi centre, and 2% with mother-teacher committee. About 28% of Muslim women feel that the GP should help them in training, bank assistance and marketing.

5.23 Analysis of Muslim women by their entitlement to public services indicates very high access – 93% have ration cards, 98% voter identity cards, 85% job card and 48% BPL card.

5.24 Analysis of Muslim women by their awareness about government programmes indicates moderate to high level of awareness – Indira Awas Yojana (55%), NREGA (90%), Janani Suraksha Yojana (59%), Widow Pension (27%), SGSY (74%) and Balika Samriddhi Yojana (14%). Yet, 28% of Muslim women have reported total ignorance about government programmes and services. They are at the bottom of the pyramid.

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5.25 Response analysis of Muslim women by their association with elected panchayat representatives indicates that 65% of the elected representatives are responsive to the needs of Muslim women – the rest are indifferent or helpless. 33% of the gram panchayat level government employees are empathetic. Overall, the response of the elected representatives and the local government functionaries seems to be positive to the needs of Muslim women. More than half of the Muslim women interviewed feel that the panchayats have the responsibility of providing drinking water (61%) and maintaining roads (69%).

5.26 Analysis of Muslim women by their awareness about ‘sariat’ and other laws of the country concerning women indicates moderate to high level of awareness, sariat (46%), marriage registration (41%), domestic violence (23%), maintenance (33%) and right to property (44%).

5.27 Field studies of 332 selected Muslim households in Uttar Dinajpur district (see Tables 143 - 175) indicate that:

a) Only 1% of Muslim women interviewed have been subjected to ‘talaq’ contrary to popular belief.

b) None of them is found separated, left behind or remarried. c) Distribution of children in the families studied indicates that girl child is not

discriminated as their ratio is higher.

5.28 While 86% of Muslim women interviewed are literate, only 2% of them have completed secondary level of education (8% up to primary and 4% upto upper primary). The educational status of Muslim women remains to be at a very low level and drop-out rates are very high. In the families studied, increasing trends of school enrolment are observed but comparatively lower increase in higher level of school education.

5.29 Distribution of Muslim women interviewed indicate that while 18% of them have some savings only; 5% have some land of their own.

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5.30 The rate of unemployment amongst Muslim women has been found to be very high (80%). Only livestock rearing (11%) is done by them to supplement family income.

5.31 68% of Muslim households are engaged in agriculture which is the principal means of livelihood followed by livestock rearing (9%), household industry (6%), small business (6%) and services (5%). There has been very little change in employment status in the last decade.

5.32 Only 17% of Muslim women studied have reported contribution upto Rs. 500 per month to family income.

5.33 Income distribution of Muslim families studied indicates highly skewed pattern, only 5% families earn Rs. 5000/- and more whereas 46% families are upto Rs. 2000 p.m. There is strong empirical evidence to show that between 46% and 50% of Muslim families in North Dinajpur district are living below poverty line. While 32% of the families reported increase of monthly income by Rs. 500, almost equal number (32%) have reported no increase in monthly income.

5.34 In terms of food security, while 78% of the respondents have reported to be able to secure two square meals daily, only one-third of the families could afford to eat protein.

5.35 The health status of Muslim women studied indicates that:

a) 88% of deliveries are at home and 23% of deliveries are done by trained ‘dais’ b) 54% of the families have not adopted any family planning measure c) Though 62% of Muslim women had visited hospital and 35% a health centre,

68% would consult an unqualified rural medical practioner for common illness

Access to public health services during pregnancy is very low – 29% of Muslim women got their health examined, 36% got anti-tetanus injection and 24% got iron tablets. Only 5% of Muslim women could get supplementary food during pregnancy. The survey indicates that children of only 25% of Muslim women in villages studied had full immunization coverage and 20% partial coverage. Surprisingly, 57% of the Muslim women interviewed feel that there has been an increase in facilities and services now. 97% of the families use tubewell water for drinking but 11% have sanitary toilets.

5.36 Analysis of Muslim women by their social association indicates that 17% of them have joined self-help group but their association with other public bodies is very low- gram unnayan samity (3%), anganwadi centre (2%) and mother-teacher committee (2%). 84% of women in self-help groups have reported savings upto Rs. 1000 in the groups while 22% could access credit facilities upto Rs. 1000/-. Training, bank credit and marketing assistance are considered to be felt needs 46% of the Muslim women have heard of gram sabha but their participation is insignificant.

Health and sanitation in Uttar Dinajpur District

North Dinajpur has very poor access in sanitary and drainage facilities.

District wise distribution of Muslim families shows rare use of smokeless chulla.

Percentage of child birth at home in Uttar Dinajpur is very high.

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5.37 Distribution of Muslim women by awareness of government programmes indicates moderate to high level of awareness – Indira Awas Yojana (46%), NREGA (89%), Janani Suraksha Yojana (54%), Widow Pension (33%), SGSY (66%), Balika Samriddhi Yojana (11%).

5.38 Analysis of Muslim women by their entitlement to public services by possession of cards indicates high level of access – ration card (91%), voter identity card (95%), Job card (75%) and BPL card (57%).

5.39 Analysis of responses of Muslim women by their perception of the elected panchayat representative indicates that 65% of them have found their panchayat representative to be attentive and 71% of local government employees to be empathetic.

5.40 Analysis of Muslim women by their legal awareness indicates moderate to high level of awareness – ‘sariat’ (54%), marriage registration (50%), domestic violence (43%), ‘talaq’ (68%), maintenance (36%), right to property (35%), Yet, 85% of Muslim girls are married below 18 years of age.

5.41 Response analysis of Muslim women by activities of GP indicate that the major activities of GP as perceived by them ae provision of drinking water (58%), construction of roads (43%), electricity (40%) and drainage (6%).

5.42 Field studies of 200 selected Muslim holds in Howrah district (see Tables 77 - 109) indicate that:

a) None of the Muslim women interviewed has been subjected to talaq though one is remarried. 13% of women interviewed are widows.

b) In the age group of 0-5, female children are found to be almost equal.

5.43 Analysis of educational status of Muslim children indicates a triangular distribution-literate (47%), up to primary (20%), secondary (27%) and 7% continued higher education. The decadal trend indicates growing trends of Muslim children continuing higher studies. Howrah has a high HDI in West Bengal.

5.44 Analysis of Muslim women by their asset-holding indicates that 65% of Muslim women studied have no asset while 24% have their own savings. 7% of women interviewed have some land of their own and 4% have a house in their own name.

5.45 Analysis of Muslim women by employment indicates that 15% are engaged in Household Industry most of them in are involved in Jari (embroidery). It may be worthwhile to mention that a large number of Muslim women are engaged in embroidery work in Howrah district. Agriculture is not the principal occupation in the study area. Only 4% of the Muslim women studied rear livestock to supplement family income. Occupational distribution of Muslim families studied indicate that 57% of the families studied are engaged in household industry while 13% are employed in agriculture. There has not been any perceptible change in the status of employment in the past decade amongst Muslim households.

5.46 In the study area of Howrah district 11% of Muslim women contribute up to Rs. 500 p.m., 6% contribute more than Rs. 500/-, only 5% women contribute Rs. 2000/- or more. As embroidery work is a major activity of Muslim women, a large number of them could contribute to family income. While 50% of Muslim households studied did not report any increase in family income. 26% of others reported increase of Rs. 500 p.m., 18% upto Rs. 1000 p.m, 4% upto Rs. 2000 p.m and 3% by more than Rs. 2000 p.m.

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5.47 In terms of food security, 92% of Muslim women reported to be secured of two square meals daily though 50% of the families could get protein in their daily diet.

5.48 Analysis of Muslim women by access to public health services indicates that:

a) 64% of deliveries take place at home of which 31% with the help of a trained ‘Dai’. b) It is interesting to find that 65% of Muslim women visited a hospital, 43% a health

centre, 95% consulted qualified doctor, Yet, 79% of them reported that they did generally fall back upon unqualified medical practitioners for common illness.

c) Access to public health services seems to be limited – 26% of them reported to have health examination done thrice during pregnancy, 65% got anti-tetanus injection, 27% got iron tablets. Only 22% of them got some supplementary food during pregnancy.

d) The survey indicate that the children of only 27% Muslim Women in villages studied had full immunization coverage, 10% partial and 14% none.

e) Response analysis of Muslim women indicates that most of them are aware of increase in public health services and qualified doctors. Yet, the access is rather limited. No perceptible change in social awareness is observed as 84% of Muslim girls are married before 18 years of age.

f) There has, however, been perceptible change in awareness of personal health are hygiene – 99% use tubewell water for drinking and 74% of the families have sanitary toilets.

5.49 Distribution of Muslim women by their social association indicates that only around 8% of them have joined self-help group, 4% in gram unnyan samity and 3% in anganwadi centre.

5.50 Response analysis of Muslim women by awareness about government programmes and services indicates low to moderate level of awareness – Indira Awas Yojana (65%), Janani Suraksha Yojana(51%), Widow Pension (50%), NREGA (25%) [Not yet operational], SGSY (90%), Balika Samriddhi Yojana (8%), gram sabha (23%).

5.51 Analysis of Muslim families by entitlement to public services through possession of cards indicates high rate of coverage – ration card (92%), voter identity card (92%), BPL card (32%).

5.52 Response analysis of Muslim women by their opinion about the elected panchayat representative and the local government employees indicates that 57% of Muslim women interviewed consider their elected representative to be attentive while only 14% of local government employees are found to be empathetic.

5.53 Response analysis of Muslim women by their legal awareness indicates moderate to high level of awareness – sariat (52%), marriage registration (56%), domestic violence (47%), ‘talaq’ (40%), maintenance (28%), right to property (34%).

5.54 Response analysis of Muslim women by their awareness of GP activities indicates that GPs according to their opinion are responsible for roads, drinking water and electricity (78% - 81%).

5.55 The major findings of 1086 households studied in Howrah, Nadia, Murshidabad and Uttar Dinajpur districts indicates that:

a) Incidence of ‘talaq’ or remarriage is insignificant in all the districts studied contrary to popular belief.

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b) In Muslim families, the girl child is not discriminated as their proportionate share in the age group of 0-5 children is fair, equal and sometimes higher.

c) Through there is growing interest observed in Muslim women about education of their children, the share of children completing higher level of education is still very low varying between 2% in Uttar Dinajpur district and 27% in Howrah district. Only in Howrah district whisch is an extension of urban agglomeration, 23% of Muslim children completed elementary education and 7% of the children could pursue higher education. The development deficit in higher education of Muslim women has been observed.

d) Inspite of the perceptions of Muslim women that public health care services are

available, their access to the services is extremely limited.e.g. (a) Institutional deliveries vary between 16% in Uttar Dinajpur district and 25% in Nadia district (b) Health examination thrice during pregnancy has been found to be varying between 26% in Howrah district and 42% in Nadia district (c) full immunisation coverage of 0-6 yrs. children of Muslim women in study area are found to be varying between 25% in Uttar Dinajpur district and 44% in Nadia district.

The survey indicates a pressing need for public health care services to reach out to Muslim women for equitable gender development.

e) Income distribution in the Muslim families studied shows a highly skewed pattern with a large concentration at the bottom level – families with monthly income upto Rs. 2000 per month varying between 46% in Uttar Dinajpur and 64% in Nadia. This indicates that around 50% of the Muslim families are below income poverty line. The poverty conditions of Muslim families are very acute in the lowest stratum. Women who are worst victims of poverty contribute to about one –fourth of family income varying between 17% in Uttar Dinajpur district to 51% in Murshidabad district.

f) The occupational distribution of Muslim families studied indicates that except in Howrah district, the principal means of livelihood of Muslim families are agriculture varying between 65% in Murshidabad district and 76% in Nadia district. In Howrah district, 57% of the Muslim families are self-employed in

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household industry as there is a large concentration of embroidery workers in the study area. In other districts, between 24% in Uttar Dinajpur district and 19% in Murshidabad district are self-employed as ‘bidi’ (country cigar) workers. Between 7% of families in Howrah district and 19% in Murshidabad district are self-employed in small business and providing low-scale services. Most of the Muslim families are self-employed in the unorganized sector with no social security cover. Muslim women in middle and upper middle classes are mostly unemployed varying between 51% in Murshidabad district and 75% in Howrah district. Muslim women of the poor families are either rearing livestock to supplement family income or self-employed in tailoring, embroidery and ‘bidi’ making.

g) In terms of food security, 24% of Muslim women in Murshidabad district have

reported food insecurity in lean seasons or during natural calamities but between 33% of Muslim families in Uttar Dinajpur district and 50% in Howrah district can afford to secure protein in their daily food.

h) About one fourth of Muslim women interviewed have joined self-help group but their access to micro-credit is limited within a range of Rs. 1000. Thus, joining a self-help group has enabled them to increase their income marginally mostly within Rs. 500 per month. Their association with other village-level institutions like gram unnyan samity, village education committee or anganwadi centre is insignificant (between 2% and 3%). Women joining self-help groups have expressed needs for training, bank credit and marketing assistance from GP.

i) Response analysis of Muslim women interviewed indicates that between 48% in Murshidabad district and 65% in Uttar Dinajpur district feel that the elected panchayat representatives are attentive to them. About local government employees, the positive response varies between 14% in Howrah district and 71% in Uttar Dinajpur district.

j) The study indicates moderate awareness amongst Muslim women about government programmes and services but their access continues to remain largely restrictive. In terms of their entitlements, Muslim families do not seem to be deprived as more than 90% of the families have ration cards and voter identity

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cards, In terms of personal health and hygine, Muslim women are mostly using tubewell water for drinking and the sanitation coverage has significantly increased in the last five years.

The findings of households survey indicate that the Muslim women urgently need

public interventions in retaining girls in schools, reaching out public health services to Muslim families, social mobilization for formation of self-help groups, increasing opportunities for self-employment and increased provisions for social security.

Case Study of Haji Jahanara Begam

I am Jahanara Begam, wife of an agricultural labourer. I live in a village Shirampur, Dist. Nadia. 8-9 years ago it was very hard for me to maintain family expenses only with my husband’s income. At that moment I heard about Self-Help Group who are thinking about the development of our village. I thought it is very good for me to join because I also could be benefited if my village did progress. I talked to Banidi and she advised me to form a group. Secretly, I started talking to girls and women. They were asking many questions to me. I contacted all women members and decided to sit together with Banidi in my house. First we started savings with Rs. 2 per head and saved Rs. 150. Within this time one member got sick and she took a loan of Rs. 100 from the group. She repaid the money within 3 months. This encouraged other women to form group to benefit themselves. Many members started different small business like home gardening, small poultry farm etc. Even some of them took loan for personal purposes, although everybody repaid their loan in time. We, as a group took loan of Rs. 16,000/- from a Nationalised Bank, in the mean time we had mobilised savings of Rs. 8000/-. We repaid the loan within 10 months although we had 1 year time. We are in good status now. We are earning money, we have enough food in our family to eat, each and every family is using tubewell water, child mortality rate is going down, 100 % immunization coverage of children, all girl children are going to primary school. Two families were against us at first but we counselled them. We are trying to move forward with everybody in our village.

We struggled a lot at first within family, also in society. But, days have changed. We have won and earned respect from all – even my husband calls me as “Haji Jahanara”.

General perception about Government Programmes under Panchayati Raj

District wise distribution data says that knowledge about Balika Samriddhi Yojana is very poor in all districts (11% in North Dinajpur, 9% in Murshidabad, 8% in Howrah and 14% in Nadia).

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6 Muslim Women in Panchayats in West Bengal

6.01 The conceptual framework pf Panchayti Raj is built around three inter-related themes: democratic decentralization, participatory governance and social indusiveness. In the three-tier structure of Panchayats in West Bengal, Gram Panchayat (GP) is the grass-roots level institution and hence closest to the people. The GP is expected to assess the local needs, locally available resources and infrastructural requirements to prepare plans for and formulate schemes of economic development and social justice. Participative planning is intended to generate responsiveness of the GP to the needs of the poor and other disadvantaged social groups including Muslims in general and women in particular.

6.02 As defined in Art.243 G of the 73rd Amendment of the Constitution, a GP is an institution of self-government to achieve economic development and social justice. There is a scope for wider public participation in self- governance through the instrumentality of Gram Sabha. Through an amendment of the West Bengal Panchayat Act in 1994, the scope of people’s participation was enlarged by constituting Gram Sansad at the basic constituency level to ensure participatory planning, consultative selection and public accountability.

6.03 By an amendment of the Panchayat Act in 2003, the institution of Gram Sansad has been further strengthened by constituting a Gram Unnyan Samity (GUS). GUS in intended to aid and assist the GP in preparation of the plans and the budget. It is also mandatory that the outlines of the plans adopted by the Gram Sansad shall be the basis of the GP Plan. The present direction of the state policy is to create a system of more empowered, decentralized, accountable, participatory and pro-poor Panchayati Raj in West Bengal.

6.04 In the road map for Panchayats in West Bengal, it has been envisaged that the poor will be organized to participate in the activities of panchayats through:

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a) advocacy, facilitation and guidance for organizing the poor particularly women; b) special drive to create awareness amongst the groups particularly women

enabling them to participate in their own development and access services from panchayats and the government;

c) provision of access to credit from banks and financial institutions.

6.05 In a representative democracy in which political mobilization precedes representation and selection, the concern of political parties towards disadvantaged groups gets reflected in the socio-economic composition of elected panchayat representatives. Analysis of Muslim members elected to Zilla Parishads (see Table 21 - 23) indicates that the share of elected Muslim representatives in Zilla Parishads is disproportionate to their share of population. It is admitted that religious consideration should not prevail in a secular state but inadequate representation of disadvantaged social groups may be a disabling factor to create equitable social and economic opportunities. There is no Muslim representation to Zilla Parishad in three districts – Purba Medinipur where the share of Muslim population is 23.81%, Jalpaiguri (12.07%) and Purulia (6.76%). Except Murshidabad and Dakshin Dinajpur the representation of Muslims in Zilla Parishads is grossly disproportionate to their share of population. There is no representation of Muslim women in Zilla Parishads of eight districts namely Purba Medinipur, Paschim Medinipur, Howrah, Hooghly, Jalpaiguri, Cooch Behar and Purulia. Except Murshidabad, Malda and Birbhum, the representation of Muslim women in Zilla Parishads is insignificant. This implies that voices of Muslim women in Zilla Parishads are seldom heard.

6.06 Analysis of Muslim members of 329 Panchayat Samities in West Bengal indicates that the representation of Muslim elected members to Panchayat Samitis is around 18% where as the share of Muslim population is about 25% according to 2001 censure. Around 6% of Muslim women are in Panchayat Samitis. Representation of Muslim women in Panchayat Samitis is lower except in Murshidabad, Uttar Dinajpur, and Malda. This is a disabling factor to get the concerns of Muslim women getting properly reflected in Panchayat Samitis.

6.07 Analysis of Muslim members in 3220 GPs in West Bengal indicates that out of 49,094 elected members, 10,433 (21%) are from the Muslim community of which 3450 (around 7%) are Muslim women. The share of Muslim women in Gram Panchayats is also found to be less than their proportionate share in the population.

6.08 Analysis of the office-bearers in three-tier panchayats in West Bengal indicates that:

a) There is no female Chairperson of Panchayat Samity in 7 districts where the share of Muslim population is nearly 25% or more namely Birbhum, Howrah, South 24 Parganas, Nadia, Dakshin Dinajpur, Malda and Cooch behar.

b) Of the 9 women Chairpersons of Zilla Parishads, only Murshidabad is having a Muslim woman elected to become the Chairperson.

c) Analysis of the distribution of Chairpersons of Standing Committees of Panchayat Samitis in West Bengal indicates that out of 635 Muslim Chairpersons, 135 (21%) are Muslim women. Of the 135 Muslim women acting as Chairpersons of Standing Committees, 44 are Chairpersons of women, children and social welfare followed by 21 looking after food and civil supplies and 19 co-ordinating public health and environment. There is no Muslim woman as Chairperson of Public works and Transport. This indicates a trend to select women as office-bearers of the standing committees concerning issues of women and children as the other areas perhaps are deemed to be areas in the male domain.

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d) Analysis of distribution of 3220 Prodhans of Gram Panchayats in West Bengal indicates that 552 (17.14%) are held by Muslims of which 164 (29.71%) are held by Muslim women.

e) Overall, the distribution of Muslim EWR in three-tier panchayats in West Bengal indicates: (a) the distribution is factored to ensure conformity with constitutional compulsions rather than a deliberate choice and (b) women in general and Muslim women in particular are preferred to hold offices in areas concerning women, children and social welfare.

6.09 Focus group discussions with elected Muslim women in the study area indicates that:

a) The age of elected Muslim women varies between 36 and 40. The mean age of Muslim women is lower than the mean age of Muslim men in panchayats. Interestingly, younger women may not have been selected by political parties because of their lack of experience or because of their lack of interest in joining politics. 90% of elected Muslim women are married.

b) 20% of Muslim elected women interviewed are literate, 60% completed elementary education and only 20% have attained high school level education.

c) Distribution of Muslim elected women studied indicates that 40% of them have come from middle class families and 60% are from families of low income. They have expressed difficulties of performing their functions efficiently because of their lack of understanding of intricacies of law, administration and financial management compelling them to depend either on bureaucracy or on political leadership.

d) The study reveals that there is a major representation of housewives amongst ‘Muslim elected women and most of them have come from agricultural families. 70% of elected Muslim women have joined self-help group. About 20% of them are employed as anganwadi workers or sahayikas in sishu siksha kendras or as field workers of voluntary organizations. Field studies indicate that elected Muslim women are dependant either on their family members or political leaders for guidance in the functioning of panchayats.

e) 40% of elected Muslim women interviewed live in pucca house and 60% of them have some savings of their own. All of them use tubewell water for drinking but 30% of their families do not have any sanitary toilet. All of them are providing education to their children but about 30% of the children have not got full immunization coverage.

f) More than 70% of the Muslim elected women have reported access to hospital or health centre but 50% of them have not been able to adopt family planning measures. Interestingly 80% of them are reported to have been married below 18 years of age.

g) In the perceptions of elected Muslim women interviewed: a) there has been an increase in opportunities of Muslim girls to access elementary

education b) there has been an increase in access to public health services by Muslim women c) assistance of GP is needed by Muslim women to improve facilities of drinking

water, road and electricity connectivity d) self-hlp groups of Muslim women need continued facilitation, training, skill

building, bank credit and marketing.

6.10 Though there are about 4000 Muslim women members to the three-tier Panchayati Raj in West Bengal (see table below), their capacities to perform efficiently remain

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grossly underfulfilled because only one-third of them have opted to become panchayat leaders of their volition and two-third of them, influenced by their family members to contest elections, joined panchayats for the first time.

Table: 6.08 Muslim women as Panchayat Members in West Bengal

Sl. No.

Tier of Panchayats

Total No. of Members Muslim Membership

Male Female Total % of Muslim Women

1 Gram Panchayat 49,094 6983 3450 10,433 7

2 Panchayat Samity 8,496 1109 482 1591 6

3 Zilla Parishad 713 65 36 101 5

Source: SIPRD, Kalyani

7%

5%

6%Gram Panchayat Panchayat Samity Zilla Parishad

In spite of their presence in Panchayats, Muslim women remain mostly unheard in the decision –making process and their dependence on external agencies is found to be near total. Yet, they feel that their self-esteem has increased and Muslim women in general consider their elected representative to be attentive to their needs.

6.11 Analysis of responses of Muslim women members to what they could do for Muslim women indicates their involvement in facilitation of self-help groups, motivating women to construct sanitary toilets and informing women of the facilities of Janani Suraksha Yojana and benefits of national social security assistance. It is also evident from focus group discussions that Muslim women are consulted or given responsibilities by the panchayat bodies to mobilise women in self-help groups and in women development programmes. The management of other activities and programmes does not lie in their domain. Yet, most of elected Muslim women consider reservation to be creating a positive impact on Muslim women to participate

Muslim women as Panchayat Members in West Bengal

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in public activities. Muslim women in general feel that they can approach and freely talk to their representative when she is a Muslim woman.

6.12 Focus Group discussions with elected Msulim women to Panchayats indicate that their capacity building needs remain grossly unattended to. Though 60% of elected Muslim women reported to have received training but are not happy with the quality of training. They have also complained of delay in training and absence of follow up. Most of them have no exposure or opportunity to share experience. Policies, laws, orders, finance are little understood as none is available to explain. The reading materials are also scarcely available. As a result, the elected Muslim women are almost totally dependant on bureaucracy or political leadership in taking decisions.

6.13 The vision document for Panchayats in West Bengal emphasizes on strengthening the process of decentralization through gram sansad and gram sabha and by constituting gram unnyan samity to ensure people’s participation in development and participatory governance. Field surveys indicate that there is moderate awareness of Muslim women about gram sansad / gram sabha but their participation in meetings of gram sansad is dismally low. Response analysis indicates that their participation is low because they are seldom allowed to go out of their home or participate in public activities. Only a few women members of self-help groups have attended meetings of gram sansad and their participation is found to be declining as their voices are not reportedly heard. Participatory planning must therefore, precede intensive social mobilization if it intend to be inclusive of needs of Muslim women.

6.14 Decentralisation ought to follow the principles of subsidiarity and its success can only be measured by devolution of functions, functionaries, finance and freedom. Focus group discussions with the elected Muslim women members indicate that they only implement schemes which are entrusted upon them by the BDO. They are also found to be largely unaware of the roles and responsibilities of a Panchayat member and largely dependant on the panchayat employees for day to day work. In their perceptions as well as in the perceptions of Muslim women, activities pf Panchayats are limited to drinking water, drainage, electricity, poverty alleviation programmes and social security. Upa-samitis and Gram Unnyan Samitis newly constituted are not

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fully operational. Panchayats are found to be acting as the agencies of the state government and as extensions of bureaucracy. The activity mapping is restrictive to selection of sites and programme beneficiaries and in spite of legal provisioning to devolve community health and elementary education upon Gram Panchayats, the line departments are virtually in control of funds, functions and functionaries. The functions of elected representatives are limited to co-ordination as they do in Saturday meetings of Gram Panchayats and in the meetings of the standing committees. The capability of GPs studied to independently undertake activities according to the felt needs of Muslim women, is extremely limited as their own fund is too adequate to meet even a modicum of their needs. This limited capability is also reflected in failure to implement even rural employment guarantee scheme. The survey reveals that Muslim women did not get wage employment in the study area in spite of special allocation for them. No thought was given to create opportunities of wage employment by involving Muslim women in social forestry.

6.15 Focus group discussions with the village-level functionaries like school teachers, anganwadi workers, female health workers indicate that:

a) In Muslim areas, there is a perceptible increase of girl children in primary school and with the introduction of mid-day meal, the attendance of Muslim girls in primary schools is very high. The drop out of Muslim girls from schools after completing primary education is reported to be caused by a common concern of Muslim parents to get them married for perceived reasons of security.

The causes for drop-out of boys of poor families are reported to be caused by economic compulsion. The quality of education is reported to be low in case of Muslim children because of lack of follow up by parents. There is definite improvement in school buildings because of Sarba Siksha Abhijan but the teacher-pupil ratio remains to be low.

b) Anganwadi workers have reported that the attendance of Muslim children in AW centres is high and the food supply is now regular. The panchayats are helping them to enrich the food with contribution of supplementary nutrition. The number of children suffering from severe anemia are decreasing. Most of the centres, however, do not have their own building and space for cooking. The supply of teaching-learning materials is also irregular.

c) Analysis of responses of Muslim women in study area indicates that 40% of them have sanitary toilets in their house. Awareness about sanitation is found to be increasing.

d) Response analysis of Muslim women indicates that 98% of them use tubewell water for drinking but thay are unaware of the quality of water nor has panchayat tested quality of water.

e) Response analysis of Muslim women on total immunization coverage indicates that there is no significant variation in total immunization coverage between Hindus and Muslims.

f) Response analysis of Muslim women by use of family planning methods indicates lower rate of adoption than that of Hindu women but with the increase in income the trend seems to equalize.

Overall, the field survey reveals that there is hardly any compatibility between the mass education and public health related duties assigned to the GP and the powers and authority given to them to enforce compliance. The GPs studied still consider them as agencies to implement government schemes. Only by legislative provisioning or by favorable policy decisions of the department the field survey finds, the process of democratic decentralization will remain incomplete. There is along

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way to go before we can see empowered, participatory and pro-poor Panchayati Raj in West Bengal.

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Case Study

Women’s Group in Natural Resources and Enterprise Management in collaboration with Panchayati Raj System

This is a real life story of rural women of the village Kamalagangesujali, Block- Islampur, Dist. - Uttar Dinajpur. 5 SHGs consisting of 64 members with different socio-religious background (2 Christians, 4 Hindus and 58 Muslims) are working together. The 5 groups are Swarnajayanti Hindutola Mohila Dal, Dhuligaon Swarnajayanti Mohila Dal, Dhuligaon Mohila Dal No. 3, Dhuligaon School Para Mohila Dal and Talpara Mohila Dal. They are working very closely with Panchayat and taking active part in all Panchayat meetings. According to the Panchayat they have adopted different livelihood strategies viz. fish farming (they’ve been offered the pond through RSVY under 10 years’ lease), the groups possess 2 Jersey cows, 2 spray-machines and thresher-machine and received seeds and seedlings of seasonal flowers, fruits and vegetables from RSVY.

The members of the groups perform the activities in a team. The activities shared by the team members for the better economy and to ensure quality in maintaining livelihood are -feeding the fish, de-weeding the pond, watering the seedlings on the bank of the pond, taking care of the cows etc.

The members of the groups have decided to get access to whole sale market for selling the fishes to derive maximum gain. This profit money will be equally shared among the group members. Side by side they also have decided to run the small scale business. This idea is also to be followed in agricultural production. The groups have made as appeal to the Panchayat for extending time period of lease of the pond at least 10-15 yrs or more.

In their struggle they have got the active support from their counterparts and the members of the Panchayat & the community.

With consensus of the members of the groups they follow the common rules in terms of profit sharing, loan & to start the new business.

The members of the groups have a dream that their establishment will be the model with joint effort and others will follow them.

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7 Muslim Women in Self-help Groups

7.01 Though West Bengal is a late starter, mobilization of the poor in self-help groups, (SHG) particularly women have been phenomenal during the last six years in West Bengal. In the districts where the share of Muslim population is high, the growth in the number of women’s groups has been impressive. This indicates that Muslim women are no less interested in joining SHGs than their neighbours. Joining SHGs by Muslim women is a challenge as well as an opportunity to them This growth has been spearheaded by a number of government departments, public corporations, co-operatives, banks, financial institutions, micro-finance institutions and non-government organizations. Launching of Swarnajayanti Gram Swarozgar Yojana, SHG-Bank Linkage Programme and social mobilization of NGOs triggered this growth spell. Of course a policy-driven strategy has accelerated the process. In course of time, NGOs often extended their periphery beyond social intermediation and focused on micro-finance which made the growth very much finance – focussed.

Since social capital could be built through group formation, the momentum could as well be directed towards pro-poor development and empowerment of women.

7.02 Plurality of approaches followed by promotional agencies created sometimes confusion and disintegrating tendencies. There has been a gradual change in perception of state government towards considering SHG as building block of development. This perception is being experimented through strengthening the process of decentralization. The shift in the policy is observed by the following decisions of the state government:

a) Determining the role of Gram Panchayats in promoting, nurturing and co-ordinating activities of self-help groups.

b) Building SHG-based organizations like clusters at the GP level and federation at PS level.

c) Extending training, marketing and infrastructure support to SHGs and SHG-based organizations.

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d) Co-option of SHGs to the Upa-Samity of Gram Panchayat and the Sthayee Samity of Panchayat Samity.

e) Inclusion of SHG members in the Gram Unnyan Samity constituted by the Gram Sansad to facilitate participatory planning and development

f) Preference to SHGs in leasing out government-owned lands and ponds for natural resource management.

g) Assigning various tasks to Gram Panchayats from preparation of data base to use of SHGs’ services in the programs of GPs.

h) Creation of a separate department of self-help groups and self-employment.

7.03 Field studies done earlier reveal many areas of strength such a strong savings motivation, small increase in income, increase in social capital, participation in development initiatives and in several aspects of women empowerment. Many areas of weakness such as little change in asset structure, weak credit linkage, lack of capacities and skills, drop out, weak group management, lack of extension services and economic opportunities, limited access to government programmes and services etc., have also been reflected. Quality assessment of sampled SHGs reveals that a larger share (about 60%) of them are still very weak. Mere quantitative growth may, therefore, be self-defeating unless it is consolidated, strengthened, co-ordinated and directed towards a vision of human development.

7.04 In course of household survey of selected Muslim households in 16 GPs where the Muslim population is more than 80% of total population, it seems that the coverage of Muslim women varies from 7% in Howrah district and 29% in Nadia district (Uttar Dinajpur 17% and Murshidabad 26%). It indicates that in the areas studied, exclusion of Muslim women is a factor to be reckoned with Social mobilization does not seem to be uniformly spread out.

7.05 Analysis of 67 SHGs studied (see Tables 1 - 20) indicates that NGOs took the lead in group formation (55%) followed by panchayat (28%) and co-operative (27%). 97% of the members were Muslim women and about 59% of them were from BPL families.

7.06 Age-wise distribution of SHGs studied indicates that about 75% of them did not complete three years and about 18% of them are functioning for more than 3 years.

7.07 Distribution of SHGs by the monthly rate of savings indicates that about 31% of the groups are saving @ Rs. 30 per month while the equal number are saving @ Rs. 10/- P.M. 19% of the SHGs are savings @ Rs. 50/- P.M. This indicates that Muslim women joining SHGs are drawn from different strata of economic class structure. About one-third of them seem to have come from very poor families. Older groups have already built up group corpus in the range of Rs. 5000 and Rs. 10,000 (34%) followed by group corpus in the range of Rs. 10,001 and Rs. 20,000 (31%). Field survey indicates that savings motivation is very strong in Muslim women.

7.08 Distribution of SHGs by access to credit indicates that 46% of members had access to credit of less than Rs. 1000. This indicates that access to credit is still restrictive and those who have access are inadequately provided with credit. This is indicative of a minimalist approach of banks. Intra-group distribution of credit is also inequitable.

7.09 Distribution of members by use of micro-credit indicates that the existing livelihood options are only available to Muslim women – livestock (21%), agriculture (21%),

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small business (20%) and household industry (16%). About one-fifth of Muslim women have used micro-credit to meet urgent family needs.

7.10 About one-third of SHGs studied reported repayment rate between 80% and 90% followed by recovery between 70% and 80% (29%) and recovery between 60% and 70% (17%). One-fifth of SHGs studied have reported repayment of less than 60%. It is indicative from the field survey that recovery of loans from members of SHGs is better than that of non – SHG loans of banks. Recovery discipline is however still to be inculcated. In spite of the minimalist approach of banks, the members do not seem to be dissatisfied with the services of banks or co-operatives. This may be because of exclusion of Muslim women from banking facilities earlier.

7.11 Distribution of SHGs by their response to the agency of external assistance indicates high degree of assistance from banks/co-operative (58%) followed by panchayat (34%), government (34%), village organization (12%), social workers (11%) and other SHG (11%). 53% of the SHGs reported to have received no external assistance. This indicates inequitable access to external assistance.

7.12 Response analysis of SHGs by assistance of GP indicates that while 55% of the SHGs did not receive any assistance from GP, 45% of SHGs studied have reported to have received varied types of assistance like wage employment under NREGA (23%), Mid-day-Meal (21%) and lease of land/pond (6%). It indicates that GPs are not yet providing equal opportunities to all the SHGs.

7.13 Response analysis of SHGs by their involvement indicates high level of involvement in child education, immunization and total sanitation but moderate to low level of involvement in anganwadi centre, and in social action against domestic violence and girl trafficking. About 42% of the SHGs did not, however, participate in social action. This indicates that social intermediation is still inadequate and financial focus is very strong in SHGs studied.

7.14 Response analysis of SHGs studied by their awareness of government programmes indicates moderate to high level of awareness – Janani Suraksha Yojana (79%), NREGA (63%), SGSY (55%), Annapoorna (53%), Antyodaya (66%), RCH (46%). The level of awareness about Kishori Sakti Yojana, is low (24%).

7.15 Similarly, response analysis of SHGs studied by their legal awareness and Muslim personal laws indicates high level of awareness - “Talaq” (76%), “denmohar” (89%), marriage registration (77%), right to property (77%).

7.16 Focus group discussions with self-help groups studied reveal that the following changes in socio-economic status of Muslim women are perceived to be high in the present decade – education of girl child (46%), health (64%) nutrition (51%) and source of drinking water (54%). Changes in aspects of sanitation, income generation, family planning, participation in meetings of gram sabha, age at marriage are moderate. Muslim women in self-help groups studied do not find any perceptive change in social injustice to women in general and Muslim women in particular. Because of Muslim women getting elected to panchayats, the awareness of Muslim women groups has increased in child education, family health and income generation. Muslim women in self-help groups feel that family, religion and social customs are even now barriers to their socio-economic development. They also consider that the changes in Muslim women are slow in spite of Muslim women getting elected to panchayats.

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7.17 By joining self-help groups, Muslim women feel that though there has been marginal increase in income, there have been significantly high changes in self-confidence, self-esteem, and social status. This, in turn, has changed their awareness about education of children, health care of the family and their social responsibility towards widowed and disabled Muslim women. This indicates that Muslim women in self-help groups can be effective change agents if they are property facilitated. They also expressed felt needs for capacity building and credit assistance from banks.

7.18 On empowerment aspects, the response of Muslim women in self-help groups seems to be mixed. While their participation in the decision-making of families has increased, their freedom to join association or attend public meetings is still restrictive. While their access to information has increased, their abilities to raise their voices in the public or protest against social injustice are still restrictive. This indicates that for empowerment of Muslim women, they need strong community support.

7.19 In the context of SHG Panchayat linkage as an instrument of pro-poor development and participatory governance, the study of Muslim women in self-help groups indicates that:

a) A large number of Muslim women are still excluded from the process of group formation. Such exclusion generally of the extremely poor Muslim families calls for intensive social mobilization in the backward areas and amongst the very poor Muslim families.

b) Savings motivation being very strong amongst Muslim women, their capacities are to be built enabling them to access bank credit.

c) Since activities of Muslim women are limited to traditional livelihood activities the scope to scale up livelihood activities is to be explored.

d) In spite of positive policy environment, facilitation of panchayats is found to be inadequate. Field studies reveal that all SHGs formed in the area of the GP are not treated equally. This may be disintegrating to the building of SHG-based organizations.

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e) Field studies of Muslim women in self-help groups reflect rising levels of awareness about child education, preventive health care measures and government programmes of women development, yet their access to social and economic opportunities is still limited. The ability of Muslim women to raise their voices in meetings of Gram Sansad or to take joint action against social justice is remaining grossly undeveloped. Thus social mobilisation and capacity building are two essential pre-requisites for their development.

f) Muslim women feel that though there has been marginal increase in their income, there has been significantly high levels of changes in self-confidence, self-esteem and social awareness after joining self-help group. Field studies indicate that mobilization of poor Muslim women in self-help groups has a positive impact on their life and livelihood and the process may enable them to move on to the escalerator of development.

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8 Innovations in Strengthening Decentralisation

8.01 Innovations in the process of decentralized planning were first experimented through community involvement in panchayat planning known as Midnapore Experiment in mid-80s through the joint initiative of Midnapore Zilla Parishad and I.I.T, Kharagpur. The objective was to ensure productive utilization of unused natural resources through optimum utilization of labour power. This required matching of wage employment opportunities with the person-days of employment required for creation of nature-based resource endowments. The planning process was initiated through participatory surveys of families and mapping of local resources. The data collected through baseline surveys were maintained in a village register. The distinguished features of bottom up planning were:

a) Identification of what can be done primarily by the villagers themselves if they are organized around Gram Panchayat. This may be called ‘people’s sector’.

b) Assessment of what can be done in the village on a commercial basis with the help of external financial resources. This may be called ‘Banking Sector.’

c) An understanding of what can be done in the village exclusively with government grant. This may be called ‘Government Sector’ and finally.

d) An assessment of what can be done by combination of the above sectors namely the villagers, bank and the government. This may be designated as the ‘combined sector.’

Though Midnapore Experiment could not be built into the process of decentralized planning, yet the learning is still relevant if the disadvantaged social groups like Muslims are to be included in the ‘Panchayat Plan.’

8.02 In the late 90s , UNICEF supported an initiative called community convergent action (CCA) to synechronise panchayat’s planning with the community initiatives through participatory planning. CCA experimented with sansad based planning by panchayats involving the community in collection of base line data, identification of needs and critical gaps, selection of beneficiaries based on objective criteria and drawing up sectoral plans based on people’s felt needs, critical gaps and sharing of resources between the community and the panchayat. The planning activity was centred around gram sansad where the citizens could articulate their demands and raise their collective voice. CCA experiment could not be continued though the selected GPs understood the need for participation of people in the planning process.

8.03 At present, participatory planning is being experimented in 304 GPs of West Bengal under the programme of decentralized planning (SRD) with support of DFID Project for rural poverty alleviation through participatory and democratic governance. Two sets of participatory plans are prepared-(i) Gram Sansad plan of activities which can be implemented at the village level (ii) Gram Panchayat plan of activities which can be implemented by the Gram Panchayat.

The planning process passes through seven district phases from campaign to plan formulation including capacity building, undertaking micro-level community initiatives, physical and social mapping through participatory learning and action, preparation of data base on households and sector status through neighbourhood meetings, analysis of data collected and maps prepared for identification of problems, resources and potential, identification of activities with sectoral classification and preparation of draft village development plan for approval of Gram Sansad. The exercise finally leads to preparation of GP plan after analysis and collection of village

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development plans for approval of Gram Sabha. The new initiative has initially led to churning of the community and launching of micro-level community initiatives but sustainability of community initiatives will depend on a dynamic process of social mobilization.

8.04 If the panchayat plans are intended to be inclusive of Muslim women particularly from the poor Muslim families, planning should precede intensive social mobilization and convergent community action initiatives. It has been outlined in the vision document that civil society is to be encouraged to organize the people to meaningfully participate in the functioning of the Panchayats and create an ambience so that they mutually reinforce each other. To organize the poor for their participation in the activities of Panchayats, the document argues for advocacy, facilitation and guidance in mobilizing poor women in self-help groups. The vision document encourages collaboration between civil society organizations and panchayats as also strong Panchayat-SHG linkage.

8.05 Loka Kalyan Parishad, a civil society organization piloted a collaborative action research initiative with the selected Gram Panchayats of Birbhum, Dakshin and Uttar Dinajpur districts where Muslim population is high, to demonstrate how participatory natural resource management in the interplay between the poor participants, civil society organizations and panchayats can result in reduction of food insecurity and eventually reduction of poverty.

The salient features of LKP-PRI collaboration are:

• Facilitating all SHGs (irrespective of promotional agency) in the GP area including those formed by Muslim women as the grass-root level institutions of the poor to be linked with the plans and activities of GPs.

• Forming Gram Unnyan Samity (GUS) at Gram Sansad level to intermediate between the GP and the people through Gram Sansad.

• Building dynamic linkage of GUS with the SHGs, social mobilization and participation in the activities of Gram Panchayat.

• LKP routes all their assistance through GP fund to fill up critical gaps in decentralized natural resource management. Gradually, the initiative is owned by the GP.

• Establishing linkages with the line departments functioning at the GP and the PS levels to ensure continuity of technical support to the GP programmes.

• Demonstrating simple natural resource management techniques that are easily adoptable by the poor including Muslim women.

• At activating political engagement with the local political forces to create an enabling environment for pro-poor development through consensus.

8.06 CSO-PRI collaboration has helped to establish some good practices:

a) Plans are finalised in open meetings of GUS in presence of GP member and eventually approved by the Gram Sansad.

b) All GUS meetings are open, participatory and informal. c) Monthly one meeting of GUS with SHGs helps interacting with the local problems

and increasing scope of local development especially strengthening of livelihood base.

d) Monthly one meeting of GP with GUS helps GP to monitor progress of activities and solve local problems.

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e) Meeting of GUS in neighbourhooods by rotation helps the people to participate directly in their own development.

f) Monthly one meeting (last Saturday of the month) at the GP helps bridge the gap between health care services needed and those provided by the health workers.

8.07 CSO-PRI collaboration has helped the poor including Muslim women to secure their livelihood base. The process has led to evolution of some good practices like:

a) Use of SHGs as paymaster in wage employment programme. b) Leasing policy of panchayat-owned land and water bodies in favour of women’s

groups. c) Panchayat’s intermediation in leasing-out private lands and water bodies in

favour of women groups. d) Common property resources to be leased out to cluster of women’s groups for

food and nutrition security of the poor including Muslim women. e) Re-engineering of prototype schemes under various government programmes to

suit the needs of the poor including Muslim women.

Evaluation of CSO-PRI collaboration by external consultants indicates high probability of institutional sustainability but economic sustainability of poor women including Muslim women will be secure when they can secure greater control of resources and services.

8.08 Economic sustainability of SHGs and their role in governance can also be facilitated by their aggregation into SHG-Federations which are community-based, member-controlled, and member-owned organizations. The example of Bagnan I Mahila Bikash Co-operative Credit Society demonstrates how women including Muslim women can organize themselves through self-help and mutual aid.

When total literacy campaign was launched in 1993-94, the women chairperson of the standing committee of Bagnan I Panchayat Samity (Howrah) had to move from house to house inspiring and helping women to become literate. Soon the women including Muslims urged upon her to help them in self-employment. She used the facilities of TRYSEM to get them trained to form various skills with the help of DRDA. When DWCRA was launched, she started forming women’s groups including Muslim women with the active support of DRDA. Gradually, with the increase in the number of women groups, she had to take the initiative of forming an association including Muslim women known as DWCRA Samannaya Samity. This was the first social organization (formed at the initiative of an elected panchayat woman leader) that pooled their savings and undertook collective activities. At the request of the DRDA, the association was registered as a Mahila Bikash Credit Co-operative Sociaety.

The society has 760 SHGs including Muslim women’s groups working in 10 Gram Panchayats with 15,550 members. As on 31.12.2007, the society could provide loan facilities to 4,882 members with outstanding credit of Rs. 3.76 crore. The society has no external borrowing as its own savings amounted to Rs. 4.20 crore. It is now working as a multi-purpose federation with production, marketing and social functions being hived out of the credit society. The case of Bagnan I Mahila Bikash Co-operative Credit Society demonstrated how sensitive facilitation of a woman panchayat leader can bring about a socio-econimic change where Muslim women feel proud to be equal partners.

The case of Bagnan I Mahila Bikash Credit Co-operative Society indicates the potential of women panchayat linkage. To facilitate such linkage, several issues are to be addressed at the policy level namely (a) treating all SHGs equally and at par by

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the Panchayat as is done in SRD areas (b) integrated approach to form SHG-based organizations namely clusters and federations (c) to avoid giving undue preference to one type of women’s groups in government programmes and polices (d) departmental initiatives bye-passing panchayats (e) lack of access to information and (f) lack of capacities of SHGs as well as panchayats to plan collaborative action activities. These issues could be addressed through CSO-PRI collaboration. It is very true for Muslim women as they need very strong community support to participate in local governance.

8.09 Muslim women suffer from multiple deprivations in vulnerable situations like floods, erosion, displacement, closure, outmigration etc. Under Community-based Disaster Management Paoject (CBDP) supported by UNICEF from April, 2001, Muslim women with their neighbors demonstrated how they could effectively participate in the meetings of gram sansad and get their plans approved by gram sansad and gram sabha to form a part of GP plan.

The trajectory of relationships passed through several distinctive phases:

First Phase

• Gram Sansad almost unknown to the community and especially women. • Resistance of the Panchayats to get involved in CBDP as it was not a government

programme. • Indifference of GP and PS to happenings of CBDP. • Misleading information on Gram Sansad. • Little co-operation and more opposition to women’s activities. • Surprised to see-women enthusiasm but not taking it seriously.

Second Phase

• GPs getting acquainted with the processes. • Reluctant participation of GP members in CBDP processes. • Holding Sansad meetings by proper notice and campaign. • GPs allowing receipt of CBDP plans. • GPs allowing women to speak in GS meetings. • GPs tendency to byepass large gatherings in GS meetings and to conduct

adjourned meetings only. • Overwhelming attendance of women including Muslim women in GS Meetings.

Third Phase

• Allowing GP office to be used for CBDP training. • General acceptance of CBDP plans in GS meetings. • Enthusiastic participation by panchayat members in CBDP process. • Many cases of providing support to CBDP plan from panchayat funds. • Using these SHGs in other activities of Gram Panchayats. • Using SHGs in political campaign. • Providing financial support to SHGs from GP fund for their livelihood activities.

CBDP demonstrate that CBO-Panchayat linkage requires facilitation and process-based hand-holding support to women including Muslims in bringing about a transformation in the working of PRIs. Such transformation has primarily happened

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due to continuous dialogue with PRIs, some amount of local political engagement, recognizing leadership of panchayat and providing reciprocal support to GP in their programmes like immunization, sanitation and mass education. If Muslim women are sensitized, organized and facilitated to articulate their needs, they can be effective partners in panchayat-led development initiatives, Muslim community ought to take the initiative of capability building of Muslim women for their participation in local governance.

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9 Summary of findings, observations and conclusion

9.01 West Bengal has nearly 25% Muslim population which is comparable only to Assam (30.9%) and Kerala (24.7%). Of the 8 districts where Muslim population is high, six districts are identified to be backward in terms of human as well as gender development index. West Bengal has the unique characteristic of 83.22% of the Muslim population living in rural areas with agriculture as the principal source of livelihood. (See Tables 37, 40, 41)

9.02 Historically, Bengal stood apart in the context of Islamisation of the country where the Muslims were the majority but dominated by an agrarian culture, they responded very little to the question of upper India’s Muslim identity. ‘Popular Islam’ would be an apt term to describe the influence of mixed culture on the rituals followed by the Muslim in rural Bengal. The Fraizi and Wahabi movements in which local Muslim women were equally involved, were intrinsically related to Muslim peasant identity.

9.03 The Muslim society is as stratified by economic classes as other societies are and the conditions of Muslim families at the bottom of the pyramid are pitiable. There is clear rural-urban divide though outmigration is gradually exposing them to urban culture. Even amongst the peasantry, there is class differential between the land-owning class and the landless. Islampur Sub-division which is a transferred territory from Bihar has a district cultural mix-up.

9.04 As Sachar Committee has observed, a gender-based fear of the public is experienced to some degree by all women. It is magnified in case of Muslim women. Too many Muslim women particularly in rural areas feel safe within the boundaries of their home and community. A large number of them are still remaining invisible.

9.05 Land reforms, institutionalization of panchayati Raj and mobilization of women into self-help groups ought to have impacted on the lives of Muslim women in the rural areas. The primary objective of the study is to capture the current socio-economic status of Muslim women and to find out how the above factors have contributed to changes (if any) in their conditions of living.

9.06 The study was carried out in 32 Gram Panchayats having largest concentration of Muslim population, in four districts namely Murshidabad, Uttar Dinajpur, Howrah and Nadia, covering 1086 randomly selected households and 67 self-help groups. A multi stage sampling design was followed. The study attempts to capture the status of Muslim women from their point of view and not necessarily from the views of external agencies.

9.07 Analysis of household data of eight Blocks studied reveals very high rates of landlessness, poor housing conditions, food insecurity, high rates of female illiteracy and school drop-outs, near-absence of access to credit, vulnerability. Score-based ranking indicates high rates of poverty varying between 40% and 60% in terms of capability poverty measure. Almost half of the poor Muslim households (about 25% of Muslim population in study area) are living under extreme conditions of poverty. These families need special attention and positive intervention.

9.08 Field studies of the selected villages reveal high dependence on wage employment of Muslim families. The district pattern of Muslim women’s work is home-based. Very few Muslim women are engaged in agriculture. The largest number of Muslim women are self-employed in sewing, embroidery, ‘Zari’ and ‘chikan’ work, rolling ‘beedis’, ready-made garments. Access to institutional credit is extremely low Out migration of

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male workers is more than 40% in 15 out of 16 GPs studied. Out migration of male workers from home makes living conditions of poor Muslim women miserable.

9.09 Response analysis of Muslim women interviewed indicates very low rate of ‘talaq’ or remarriage but extremely high rates of marriage below 18 years of age (80% or more). In all the families studied, it is found that a girl child is not discriminated. Inequity of income classes of Muslim families is very high. Drop-out rates of Muslim girls are very high after completion of primary education. Deficit in higher level of education of Muslim women is staggeringly high. Inspite of growing awareness about preventive health care, access of Muslim women to public health services is limited. About one-fourth of Muslim women have joined self-help group but their participation in social action is still limited. They have moderate level of awareness about government programmes and services but their access is still limited. Muslim women consider about a half of their elected panchayat representatives to be sensitive to their problems. They consider construction of roads, provision of drinking water and electricity to be the principal activities of a Gram Panchayat. They are moderately aware of gram sansad but their participation in public action remains to be low.

9.10 Analysis of Muslim members in three-tier panchayats reveals lower representation proportionate to their population. The share of representation is skewed – lowest at the ZP level and highest at the GP level. Distribution of the office bearers of three-tier panchayats indicates that women in general and Muslim women in particular are preferred in areas concerning women, children and social welfare. In-spite of their presence in panchayats and Muslim women looking forward to them, their dependence on external agencies is to found to be near total. In the opinion of the Muslim women elected to panchayats, there is a gradual increase in access of elementary education and public health services by Muslim women. Only one-third of them have contested election out of their own choice. Given liberty, they would like to work for provision of roads, drinking water and electricity in their constituencies. They have also expressed interest to work for self-help groups.

9.11 Survey of Muslim households indicates that the coverage of Muslim women in SHGs varies between 7% in Howrah district and 29% in Nadia district. Access to bank credit is found to be still restrictive though savings motivation is very strong amongst Muslim women. Majority of the groups formed by Muslim women reported to have not received adequate external facilitation. A strong finance focus is noticed in self-help groups of Muslim women because social intermediation is low. In the context of their growing interest in child education, immunization and total sanitation, participation in social and public action needs to be facilitated through sensitive community involvement Social mobilization and capacity building are found to be urgent needs of Muslim women in self-help groups.

9.12 Disaggregated data on the basis of religious groupings are not available from official records. The survey of Muslim families indicates that between 40% and 60% of Muslim women are having extremely limited access to social and economic opportunities. Out migration and vulnerability make living conditions miserable to Muslim women in about one-third of the Muslim families studied.

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10 Policy Implications and Recommendations

10.01 Field studies reveal multiple deprivations of Muslim women which need to be addressed in the policy. While many of these are common to all women irrespective of community, the development deficit of Muslim women in the bottom layer of the pyramid is significantly higher than their counterparts in the society. Too many Muslim women feel safe within the boundaries of their home and community. The primary responsibility of social mobilization should, therefore, come from the Muslim community themselves. Community-based organizations are to be developed and capacitated to act as catalysts for change. CSO-PRI collaboration can help the process and should therefore be considered as on instrument of policy in local governance.

10.02 The emergence and multiplication of self-help groups is a phenomenon which should be taken advantage of to reach out to the excluded Muslim women. Empowerment of Muslim women through SHGs would lead to benefits not only of individual women or their families but also of the Muslim community through collective action. Empowering is not just for meeting financial needs but also for holistic social development. A process-based linkage of all SHGs with the Gram Panchayat through Gram Unnyan Samitis can help strengthening decentralization and inclusion of Muslim women.

10.03 If the panchayat plans are intended to be inclusive of Muslim women, it must be preceded by intensive social mobilization and convergent community action. Capacity building of Muslim women should be adequate to enable them to articulate their needs in the meetings of gram sansad/gram sabha and participate in community initiatives. Muslim women groups should be enabled to function as sub-sets of gram sansad and gram sabha and prepare women component plan through Mahila Sabha.

10.04 Strengthening primary groups of women by networking has been initiated through formation of clusters and federations. SHG-based Federations should be member-based, member-owned and member-controlled organization whose principal functions will be (a) to strengthen existing SHGs (b) to promote new SHGs (c) to access various services (d) to provide a sense of solidarity (e) to facilitate linkage (f) to build collective bargaining power Muslim women joining SHGs and SHG –based organizations will then have a sense of ownership. They can build up functional partnership with the panchayats but should not be appropriated by the local government. The scope of partnership with panchayats can be explored in areas who can be of mutual benefit. For example, livelihood support can be given to all SHGs by panchayats under NREGA while the services of SHGs can be utilized for community health and mass education initiatives of the panchayats. The policy environment is favourable for such SHG-Panchayat Partnership.

10.05 Capacity building of Muslim women through social mobilization, advocacy and handholding should be a dynamic and iterative process. It should not be limited to ritualistic event-managed training or skill development programmes. It should be through a process of increasing the capacity of Muslim women and their groups to make choices and to transform those choices into desired action and outcomes. The expansion of assets and capabilities of poor Muslim women is needed to enable them to participate in, negotiate with, influence, control and hold accountable the institutions that affect their life. Affirmative action is needed to build the capacities of poor Muslim women.

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10.06 The functional responsibilities of panchayats are being expanded to include promotive and preventive health care, pre-school and primary education, development of women and children, formation of livelihood, social security and other aspects of human development. This should be supported by devolution of funds, functionaries and freedom to the panchayats. If activity mapping is limited to selection of sites and beneficiaries, it will not be fair to make panchayats responsible for the outcome.

10.07 Focus group discussions with elected women representatives reveal that most of them have not contested panchayat elections of their own choice and they were chosen by the political parties out of compulsion as the seats were reserved for women. Most of them did not have any past experience either in politics or in panchayats. Though they feel honored to become panchayat members, the political parties are required to make a prudent choice of their women candidates if they are seriously concerned about development of poor Muslim women.

10.08 Focus groups discussions with elected women representatives of Panchayats indicate that though about 60% of them have got training it was too short and too inadequate to enable to cope up with the complexities of their responsibilities. There was no follow-up. The training methodology followed was not suitable to them. As a result, they had to depend on officials, political personalities, colleagues or husbands before taking decisions. Most of them had expressed their sincere desire to work for Muslim women. Capability building of elected women representatives could only enable them to provide support and services to Muslim women.

10.09 Survey of Muslim women indicates growing awareness amongst them about child education, preventive and promotive health care but their access to public services is found to b extremely limited. Stereo typed home-based work has disabled them to get exposure to alternative livelihood. While sensitive community-based facilitation can help them to get linked to public services, hands-on-training and exposure can build confidence in alternative livelihood. While decentralization will help in facilitation, CSO-PRI collaboration may strengthen the scope of their livelihood options.

10.10 Field survey reveals hat Muslim women suffer most in vulnerable situations like floods, erosion, out migration of male members, displacement. They need special focus and external facilitation is needed for their social security. Organizing them in groups and building their capacities to cope up with the crisis are expected to instill confidence in them.

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11 Statistical Tables

Table 1: Distribution of SHGs by Facilitating Agency

Sl. No. Facilitating Agency No. of SHGs % of Total

1. Panchayat 19 12.73 %

2. NGO 37 24.79%

3. Village Organisation 5 3.35%

4. Bank 2 1.34%

5. Co-operative 18 12.06%

6. Others (State) 6 4.02%

7. No external facilitation 2 1.34%

Source: Field Survey

19

37

5 2

18

6 1

05

10152025303540

Distribution of SHGs by Facilitating Agency

PanchayatNGOVillage OrganisationBankCo operativeOthers (State)No external facilitation

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Table 2: Distribution of SHGs by membership

Sl. No. Membership No. of SHGs % of Total

1. Total Membership 829

2. BPL Membership 487 58.74%

3. APL Membership 184 22.19%

4. Male Membership 20 2.41%

5. Female Membership (Valid) 809 97.58%

Source: Field Survey

Table 3: Distribution of SHGs by Age

Sl. No. Age No. of SHGs % of Total

1. 1 Year or less 5 7.46%

2. 2 – 3 Years 50 74.62%

3. 3 – 5 Years 12 17.91%

4. More than 5 Years 0 0

Source: Field Survey

Distribution of SHGs by AGE

0

74.62%

7.46%17.91%

1 year or less 2 - 3 years old 3 - 5 years old More than 5 yrs

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Table 4: Distribution of SHGs by monthly rate of savings

Sl. No. Monthly Rate No. of SHGs % of Total

1. Rs. 10 21 31.34%

2. Rs. 20 9 13.43%

3. Rs. 30 21 31.34%

4. Rs. 50 13 19.40%

5 More than Rs. 50 0 0

6. No regular rate 3 4.47%

Source: Field Survey

Table 5: Distribution of SHGs by amount of savings in the group corpus

Sl. No. Group savings No. of SHGs % of Total

1. Upto Rs. 3000 11 16.41%

2. Rs. 3001-Rs. 5000 8 11.94%

3. Rs. 5001 – Rs. 10000 23 34.32%

4. Rs. 10001- Rs. 20000 21 31.34%

5 Above Rs. 20000 4 5.97%

Source: Field Survey

Distribution of SHGs by amount of savings in the group corpus

31.34% 11.94%16.41%

34.32%

5.97%Upto Rs. 3000

Rs. 3001 - Rs. 5000

Rs. 5001 - Rs.10000

Rs. 10001 - Rs. 20000

Above Rs. 20000

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Table 6: Distribution of members of SHGs according to purposive use of loan

Sl. No. Purpose of loan use No. of Members % of Total

1. Agriculture 462 20.82%

2. Livestock 480 21.64%

3. Households Industry 352 15.87%

4. Small Business 453 20.42%

5 Family Needs 471 21.23%

Source: Field Survey

Distribution of members of SHG according to purposive use of loan

21.23%

20.42%

15.87%

21.64%

20.82% Agriculture

Livestock

Households Industry

Small Business

Family Needs

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Table 7: Distribution of SHGs by rate of loan repayment

Sl. No. Repayment Rate No. of SHGs % of Total

1. Between 90% and 80% 19 32.75%

2. Between 80% and 70% 17 29.31%

3. Between 70% and 60% 10 17.24%

4. Below 60% 12 20.68%

Source: Field Survey

Table 8: Distribution of membership by status of training

Sl. No. Nature of training No. of members % of Total

1. Orientation 309 37.63%

2. Skill Development 126 15.34%

3. No training 386 47.01%

Source: Field Survey

Table 9: Distribution of SHGs by satisfaction level of bank facility

Sl. No. Bank facility No. of SHGs

Yes No

No % of Total No. % of Total

1. Adequacy of bank credit 61 46 75.40% 15 24.59%

2. Timeliness 61 50 81.96% 11 18.03%

3. Co-operative 61 51 83.60% 10 16.39%

Source: Field Survey

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Table 10: Distribution of SHGs by external assistance

Yes No Sl. No. External Agency

No % of Total No. % of Total

1. Panchayat 23 34.32% 44 65.67%

2. Govt. Deptt/Block Office 23 34.32% 44 65.67%

3. NGO 22 33.33% 44 66.66%

4. Bank/Co-operative 38 57.57% 28 42.42%

5. Village Organisation 8 12.12% 58 87.87%

6. Social Worker 7 10.60% 59 89.39%

7. Others SHG 7 10.60% 59 89.39%

8. None 34 53.12% 30 46.87%

Source: Field Survey

Table 11: Distribution of SHGs by assistance of Gram Panchayat

Yes No Sl. No. Type of assistance

No % of Total No. % of Total

1. National Rural Emp. Guarantee 15 22.72% 51 77.27%

2. Mid-Day Meal 14 21.21% 52 78.78%

3. Leasing-in Land/Pond 4 5.97% 63 94.02%

4. Other 9 13.43% 58 86.56%

5. No assistance 37 55.22% 30 44.77%

Source: Field Survey

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Table 12: Distribution of SHGs by participation in social action

Yes No Sl. No. Social Activity

No % of Total No. % of Total

1. Participation in child education 40 59.70% 27 40.29%

2. Participation in Immunisation Camp 45 68.18% 21 31.81%

3. Participation in total sanitation 40 59.70% 27 40.29%

4. Participation in Angawadi 23 34.32% 44 65.67%

5. Participation in Other act. 16 23.88% 51 76.11%

6. Protest against domestic violence 23 34.84% 43 65.15%

7. Protest against human trafficking 6 9.09% 60 90.90%

8. No participation in social action 28 41.79% 39 58.20%

Source: Field Survey

59.7

%68

.18%

59.7

%34

.32%

23.8

8%34

.84%

9.09

%41

.79%

40.2

9%31

.18%

40.2

9%65

.67% 76

.11%

65.1

5% 90.9

%

58.2

%

0

20

40

60

80

100

Yes No

Distribution of SHGs by participation in social ation

Child education Immunisation campSanitation AnganwadiOther actiivities Protest against domestic violationProtest against trafficking No participation in social action

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Table 13: Distribution of SHGs by participation in social action

Yes No Sl. No. Participation in development

initiative No % of Total No. % of Total

1. Attendance in Gram Sansad 47 70.14% 20 29.85%

2. Submission of Group Plan to GS 29 43.28% 38 56.71%

3. Participation in GUS Activities 11 16.41% 56 83.58%

4. Participation in GP Activities. 14 21.21% 52 78.78%

5. Participation in Community initiative

12 17.91% 55 82.08%

6. No participation in development 24 35.82% 43 64.17%

Source: Field Survey

70.1

4%

43.2

8% 16.4

1%

21.2

1%17

.91% 35

.82%

29.8

5%

56.7

1%

83.5

8%

78.7

8%

82.0

8%

64.1

7%

0

20

40

60

80

100

Yes No

Distribution of SHGs by participation in social ation

Attendence in Gram Sansad Submission of Group Plan to GSGUS Activities GP ActivitiesCommunity initiatives No participation in development

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Table 14: Distribution of SHGs by awareness of Govt. Programme

Yes No Sl. No. Govt. Programme

No % of Total No. % of Total

1. Janani Suraksha Yojana 53 79.10% 14 20.89%

2. Rural Employment Guarantee Scheme

42 62.68% 25 37.31%

3. S.G.S.Y 36 54.54% 30 45.45%

4. Annapoorna 35 53.03% 31 46.96%

5. Antyodaya 44 65.67% 23 34.32%

6. Reproductive Child Health 31 46.26% 36 53.73%

7. Kishori Sakti Yojana 16 23.88% 51 76.11%

Source: Field Survey

70.1

4%

43.2

8%

16.4

1%21

.21% 17

.91%

35.8

2%

23.8

8

29.8

5% 56.7

1% 83.5

8%78

.78%

82.0

8%64

.17%

76.1

1

0

20

40

60

80

Yes No

Distribution of SHGs by participation in social ation

Janani Suraksha YojanaRural Employment Gurantee SchemeSGSYAnnapurnaAntyodayaReproductive Child HealthKishori Shakti Yojana

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Table 15: Distribution of SHGs by legal awareness

Yes No Sl. No. Rule of

No % of Total No. % of Total

1. Talaq 51 76.11% 16 23.88%

2. Khula 38 56.71% 29 43.28%

3. Denmohar 60 89.55% 7 10.44%

4. Registration of marriage 52 77.61% 15 22.38%

5. Maintenance 56 83.58% 11 16.41%

6. Second marriage 38 56.71% 29 43.28%

7. Right to property 51 77.27% 15 22.72%

Source: Field Survey

70.1

4%

43.2

8%

16.4

1%

21.2

1%17

.91%

35.8

2% 77.2

7

29.8

5%

56.7

1%

83.5

8% 78.7

8%

82.0

8%

64.1

7%

22.7

2

0

20

40

60

80

100

Yes No

Distribution of SHGs by legal awareness

Talaq KhulaDennohar Registration of MarriageMaintenance Second MarriageRight to property

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Table 16: Distribution of Muslim women by ranking of changes in socio-economic status

Very high High Average Low Very Low Sl.No. Factor

No % No % No % No % No %

1. Education of girl child

13 19.40% 43 64.17% 10 14.92% 1 1.49% 0 0

2. Health of Women 6 8.95% 43 64.17% 13 19.40% 4 5.97% 1 1.49%

3. Nutrition of Women 4 5.97% 34 50.74% 21 31.34% 7 10.44% 1 1.49%

4. Drinking Water 13 19.40% 36 53.73% 10 14.92% 5 7.46% 3 4.47%

5. Sanitary Latrine 9 13.43% 25 37.31% 17 25.37% 6 8.95% 10 14.92%

6. Family Planning 10 14.92% 28 41.79% 21 31.34% 5 7.46% 3 4.47%

7.

Attendance of women in GS Meeting

9 13.63% 19 28.78% 12 18.18% 17 25.75% 9 13.63%

8. Age at Marriage (18+)

3 4.47% 34 50.74% 18 26.86% 9 13.43% 3 4.47%

Source: Field Survey

Table 17: Response Analysis of Muslim women by changes for EWR in Panchayats

Sl. No. Rate of change Number % of Total

1. Very fast 11 16.41%

2. Slow 33 49.25%

3. No change 11 16.41%

4. Dominated by male member 12 17.91%

Source: Field Survey

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Table 18: Response Analysis of Muslim women by changes after joining SHG

Yes No Sl.No. Change Aspect

No % No %

1. Very fast 22 33.33% 43 65.15%

2. Normal change 48 72.72% 18 27.27%

3. No change 3 4.68% 60 93.75%

4. Increase in self-confidence 62 93.93% 4 6.06%

5. Increase in self-esteem 60 90.90 6 9.09%

6. Increase in women’s income 61 93.84% 4 6.15%

7. Increase in social status 60 92.30% 5 7.69%

8. Not much change noticed 16 24.61% 50 76.92%

9. Increase in care of girl child 60 92.30% 5 7.69%

10. Increase in care of adolescent girl 55 84.61% 10 15.38%

11. Increase in care during pregnancy 58 89.23% 7 10.76%

12. Increase in assistance to widows 46 70.76% 19 29.23%

Source: Field Survey

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Table 19: Response Analysis of women groups by changes observed for EWR and SHG

Sl. No. Sector Number % of Total

1.

Education i) Women have learnt to sign. ii) Children are going to school and awareness has increased iii) Illiterate women are facing problems in getting married.

35

27

1

52.23%

40.29%

2.98%

2. Income Generation Increase in income of women

50

74.62%

3. Health and Hygiene i) have understood the importance of sanitation ii) Increase in awareness

13 33

19.40% 49.25%

4. Social Development i) Increase in child care ii) Protest against social evil

3 6

4.47% 8.95%

5. Rural Development i) Increase in hygiene in family ii) Plantation of trees

5 2

7.46% 2.98%

Source: Field Survey

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Table 20: Response Analysis of Women groups by changes in empowerment aspects by the presence of EWR and by joining SHG

Very high High Average Low Very Low Sl.No. Empowerment

Aspect No % No % No % No % No %

1. Part. In family decision 8 12.5% 32 50% 20 31.25% 4 6.25% 0 0

2. Sharing by male member 13 20.31% 28 43.75% 14 21.87% 8 12.5% 1 1.56%

3. Part. In family planning 11 17.18% 32 50% 11 17.18% 8 12.5% 2 3.12%

4. Free voting 8 12.5% 22 34.37% 9 14.06% 9 14.06% 16 25%

5. Joining village organisation 7 10.93% 12 18.75% 13 20.31% 16 25% 16 25%

6. Voice in Gram Sansad 5 7.81% 16 25% 11 17.18% 15 23.43% 17 26.56%

7. Going to access public services 13 20.31% 28 43.75% 15 23.43% 6 9.37% 2 3.125%

8. Public Meeting/Procession 10 15.62% 19 29.68% 9 14.06% 11 17.18% 15% 23.43%

9. Radio and Information 10 15.62% 32 50% 9 14.06% 8 12.5% 5 7.81%

10. Joint social Action 8 12.5% 16 25% 16 25% 6 9.37% 18 28.12%

Source: Field Survey

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Table 21: Muslim Members in Zilla Parishads

Zilla Parishad

Total Member

of Members

Male Muslim

Members

Female Muslim

Members

Total Muslim

Members

% of Muslim

Members in Zilla

Parishad

Share of Muslims in Total rural population

Burdwan 65 04 02 06 09.23 23.44

Birbhum 35 02 04 06 17.14 35.08

Bankura 41 X 01 01 02.44 7.81

Purba Medinipur 52 X X X X 23.81

Paschim Medinipur 62 01 X 01 01.61 21.08

Howrah 34 02 X 02 05.88 24.44

Hoogly 47 03 X 03 06.38 17.37

North 24 Pargana 50 03 06 09 18.00 41.92

South 24 Pargana 66 09 01 10 15.15 34.26

Nadia 41 04 02 06 14.63 31.01

Murshidabad 60 21 12 33 55.00 66.71

Uttar Dinajpur 21 05 01 06 28.57 52.72

Dakshin Dinajpur 15 03 01 04 26.67 27.52

Maldah 33 07 06 13 39.40 52.78

Jalpaiguri 31 X X X 0 12.07

Coochbehar 26 01 X 1 03.85 25.77

Purulia 34 X X X X 6.76

Total 713 65 36 101

Source: SIPRD Kalyani

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Table 22: Muslim Members in Panchayat Samities

Districts Number of Panchayats

Muslim Male

Muslim Female

Total Muslim

Members

Total Panchayat Samities

Burdwan 31 66 26 92 734

Birbhum 19 68 26 94 412

Bankura 22 15 04 19 478

Purba Medinipur 25 36 10 46 604

Paschim Medinipur 29 26 09 35 729

Howrah 14 63 18 81 426

Hoogly 18 37 14 51 577

North 24 Pargana 22 101 42 143 555

South 24 Pargana 29 116 42 163 845

Nadia 17 72 29 101 512

Murshidabad 26 256 133 389 697

Uttar Dinajpur 09 78 42 120 263

Dakshin Dinajpur 08 19 08 27 179

Maldah 15 110 58 168 388

Jalpaiguri 13 10 07 17 374

Coochbehar 12 32 08 40 339

Purulia 20 04 01 05 384

Total 329 1109 477 1591 8496

Source: SIPRD Kalyani

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Table 23: Muslim Members in Gram Panchayats: District wise

Districts Number of

Gram Panchayats

Male Muslim

Members

Female Muslim

Members

Total Muslim

Members

Total of Gram

Panchayat Members

Burdwan 277 508 198 706 4346

Birbhum 167 410 211 621 2258

Bankura 190 84 40 124 2632

Purba Medinipur 223 192 81 273 3470

Paschim Medinipur 290 151 76 227 4073

Howrah 157 349 163 512 2494

Hoogly 210 266 111 377 3440

North 24 Pargana 200 672 337 1009 3317

South 24 Pargana 312 804 365 1169 4888

Nadia 187 461 177 638 3113

Murshidabad 254 1558 870 2428 4096

Uttar Dinajpur 98 423 239 662 1529

Dakshin Dinajpur 65 133 65 198 993

Maldah 146 665 351 1016 2232

Jalpaiguri 146 77 40 117 2241

Coochbehar 128 189 95 284 1905

Purulia 170 41 31 72 2067

Total 3220 6983 3450 10433 49094

Source: SIPRD Kalyani

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Table 24: Distribution of Households according to Land Holding Class

Block Landless < Acre of irrigated

land >1=2 acre of

irrigated land >2=4 acre of

irrigated land

> 4 acre of irrigated

land

No. % No. % No. % No. % No. %

Karimpur II 32345 65.43 11561 23.39 3678 7.44 1358 2.75 492 1.00

Chapra 19153 67.17 7755 27.20 1145 4.02 327 1.15 136 0.48

Domkal 44513 60.97 18773 25.72 6346 8.69 2475 3.39 897 1.23

Bhagabangola II 19760 66.53 6662 22.43 2368 7.97 722 2.43 191 0.64

Goalpokhor I 31012 58.62 14310 27.05 5217 9.86 1882 3.56 483 0.91

Islampur 25766 50.65 16150 31.75 6650 13.07 1930 3.79 374 0.74

Uluberia I 25383 72.17 8041 22.86 1335 3.80 322 0.92 90 0.26

Panchla 20735 69.67 6919 23.25 1305 4.39 562 1.89 239 0.80

Source: Family Survey

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Table 25: Distribution of Households according to Housing Condition

Block Homeless Kutchha with 1 Room

Kutchha with 2 or more

Rooms Semi Pucca Pucca

No. % No. % No. % No. % No. %

Karimpur II 2054 4.16 24997 50.57 5166 10.45 6708 13.57 10509 21.26

Chapra 1681 5.89 17298 60.66 2770 9.71 4145 14.54 2622 9.19

Domkal 2719 3.72 32126 44.01 8151 11.17 12716 17.42 17292 23.69

Bhagabangola II 1270 4.28 14804 49.84 9402 31.65 2211 7.44 2016 6.79

Goalpokhor I 3292 6.22 28947 54.72 11013 20.82 5739 10.85 3913 7.40

Islampur 963 1.89 24599 48.36 14652 28.80 6718 13.21 3938 7.74

Uluberia I 891 2.53 9888 28.11 5446 15.48 8341 23.72 10605 30.15

Panchla 91 0.31 2817 9.47 4138 13.90 7868 26.44 14846 49.89

Source: Family Survey

0

14

28

42

56

70

Karim

pur I

I

Chap

ra

Dom

kal

Bhag

awan

da II

Goalpo

khor

I

Islam

pur

Ulub

eria

I

Panc

hla

HomelessKutchha with 1 room

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Table 26: Distribution of Households according to possession of clothing per member of the family

Block Less than 2 2 to 4 but no winter cloth

2 to 4 with winter cloth

4 or more with winter

clothing More than 6

No. % No. % No. % No. % No. %

Karimpur II 5843 11.82 22599 45.72 16079 32.53 3944 7.98 969 1.96

Chapra 38.10 13.36 13266 46.52 9962 34.93 1145 4.02 333 1.17

Domkal 7232 9 . 91 24053 32.95 32224 44.14 6581 9.01 2914 3.99

Bhagabangola II 3566 12.01 7975 26.85 14770 49.73 2608 8.78 784 2.64

Goalpokhor I 6653 12.58 19284 36.45 20652 39.04 4851 9.17 1464 2.77

Islampur 2873 5 . 6 5 16036 31.52 24828 48.81 5791 11.38 1342 2.64

Uluberia I 1718 4 . 88 7845 22.31 18018 51.23 6202 17.63 1388 3.95

Panchla 202 0 . 68 2978 10.01 13191 44.32 7353 24.71 6036 20.28

Source: Family Survey

0

14

28

42

56

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

Less than 2 2 to 4 but no winter cloths

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Table 27: Distribution of Households in terms of Food Security

Block < 1 meal

most of the time

1 sq meal a day

occasionally missed

2 sq meals sometimes

failed 2 sq meal a

day No problem

No. % No. % No. % No. % No. %

Karimpur II 3272 6.62 16845 33.35 16144 32.66 9840 19.91 3693 7.47

Chapra 2499 8.76 10560 37.03 11387 39.93 3378 11.85 692 2.43

Domkal 3822 5.24 21341 29.23 29699 40.68 10058 13.78 8084 11.07

Bhagabangola II 1018 3.43 5926 19.95 12131 40.84 7618 25.65 3010 10.13

Goalpokhor I 4308 8.14 11902 22.50 20405 38.57 11966 22.62 4323 8.17

Islampur 1619 3.18 7206 14.17 19143 37.63 15966 31.39 6936 13.63

Uluberia I 654 1.86 3482 9.90 10358 29.45 14724 41.86 5953 16.93

Panchla 71 0.24 723 2.43 3603 12.11 12079 40.59 13284 44.64

Source: Family Survey

0

14

28

42

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

< 1 meal most of the day 1 sq meal a day occassionally missed

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Table 28: Distribution of Households by possession of consumer durables (cycle, radio, televisions, fan, cooler)

Block None Any One Any Two Any Three Owns all but any of costly

gadget

No. % No. % No. % No. % No. %

Chapra 13541 47.49 11372 39.88 2482 8.70 630 2.21 491 1.72

Domkal 23556 32.27 32233 44.15 9900 13.56 3270 4.48 4045 5.54

Bhagabangola II 11124 37.45 12823 43.17 3833 12.90 811 2.73 1112 3.74

Goalpokhor I 25348 47.91 19716 37.27 5275 9.97 1304 2.46 1261 2.38

Islampur 22762 44.75 18821 37.00 6150 12.09 1670 3.28 1467 2.88

Uluberia I 10210 29.03 10383 29.52 8912 25.34 3495 9.94 2171 6.17

Panchla 2393 8 .04 7216 24.25 8571 28.80 7559 25.40 4021 13.51

Source: Family Survey

Distribution of households by possessions of consumer durables (Cycle, radio etc) - Graph based on-NONE coloumn

37.45%

32.27%

47.49%

8.04%

29.03%

47.91%

44.75%

Chapra Domkal Bhagawanda II Goalpokhor I Islampur Uluberia I Panchla

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Table 29: Distribution of Households by literacy status of the households

Block None Any One Any Two Any Three

No. % No. % No. % No. %

Karimpur II 1 1 5 7 5 2 3 . 4 2 16543 33.46 14578 29.49 5910 11.96

Chapra 6 6 6 6 2 3 . 3 8 10712 37.56 8380 29.39 2469 8.66

Domkal 1 3 2 8 3 1 8 . 1 9 25760 35.29 23517 32.21 8523 11.67

Bhagabangola II 6 2 7 7 2 1 . 1 3 10230 34.44 10170 34.24 2512 8.46

Goalpokhor I 1 9 9 6 4 3 7 . 7 4 18818 35.57 9769 18.47 3558 6.73

Islampur 1 4 2 0 6 2 7 . 9 5 20445 40.19 11780 23.16 6917 7.70

Uluberia I 2841 8.08 12565 35.73 14540 41.34 4524 12.86

Panchla 1036 3.48 8432 28.33 14639 49.19 4742 15.93

Source: Family Survey

Distribution of households by literacy status of the household - Graph based

on NONE coloumn only

3.48%

37.74%21.13%

27.95%

8.08%

23.42%

23.38%

18.19%

Karimpur II Chapra Domkal Bhagawanda IIGoalpokhor I Islampur Uluberia I Panchla

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Table 30: Distribution of Households by family based workers

Block No regular earner

Women & Child labour

All adult worker: No child labour

Only adult male worker Others

No. % No. % No. % No. % No. %

Karimpur II 4600 9 .31 2162 4.37 2331 4.72 38101 77.07 2240 4.53

Chapra 2863 10.04 1280 4.49 1542 5.41 21912 76.84 919 3.22

Domkal 5295 7 .25 3220 4.41 3391 4.64 54985 75.32 6113 8.37

Bhagabangola II 1538 5 .18 1632 5.49 1869 6.29 22105 74.42 2559 8.62

Goalpokhor I 5397 10.20 6905 13.22 6061 11.46 31227 59.03 795 1.50

Islampur 2902 5 .70 4104 8.07 2508 4.93 37051 72.83 4305 8.46

Uluberia I 1954 5 .56 2017 5.73 3340 9.50 25942 73.76 1918 5.45

Panchla 223 0.75 609 2.05 1420 4.77 23702 79.64 3806 12.79

Source: Family Survey

Distribution of households by family based workers - Graph based on - NO REGULAR EARNER coloumn

0.75%

7.25%

10.04%

9.31%5.56%5.70%

5.18%

10.20%

Karimpur II Chapra Domkal Bhagawanda IIGoalpokhor I Islampur Uluberia I Panchla

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Table 31: Distribution of Households by status of employment

Block Agri / Wage labour

Agricultural self

employment

Self-employed artisan / trader

Wage employment unorganized

Org. employed /

professional

No. % No. % No. % No. % No. %

Karimpur II 30894 62.50 11401 23.06 2165 4.38 1819 3.68 3155 6.38

Chapra 18959 66.49 5601 19.64 1485 5.21 1223 4.29 1248 4.38

Domkal 40578 55.58 19319 26.46 4473 6.13 2527 3.46 6107 8.37

Bhagabangola II 18501 62.29 7407 24.94 1224 4.12 835 2.81 1736 5.84

Goalpokhor I 27868 52.68 15103 28.55 3338 6.31 3116 5.89 3479 6.58

Islampur 24074 47.32 16784 32.99 3347 6.58 3367 6.62 3298 6.48

Uluberia I 18751 53.31 4326 12.30 4847 13.78 3730 10.61 3517 10.00

Panchla 5873 19.73 1784 5.99 12864 43.23 4781 16.07 4458 14.98

Source: Family Survey

0

14

28

42

56

70

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

Agri / Wage labour Agricultural self employment

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Table 32: Distribution of Households by literacy status of 9 – 14yrs children

Block Never to school

Dropout – working outside

Dropout – home

workers

Dropout – No special

work No dropout

No. % No. % No. % No. % No. %

Karimpur II 14346 29.02 7297 14.76 4949 10.01 1158 2.34 21684 43.86

Chapra 8602 30.17 4037 14.16 2262 7.93 802 2.81 12813 44.93

Domkal 10315 14.13 5666 7.76 4365 5.98 2437 3.34 50221 68.79

Bhagabangola II 6683 22.50 2903 9.77 2463 8.29 328 1.10 17326 58.33

Goalpokhor I 19085 36.07 5497 10.39 4276 8.08 1823 3.45 22223 42.01

Islampur 15405 30.40 5523 10.86 4598 9.04 1412 2.78 23872 46.98

Uluberia I 3241 9 .21 3048 8.67 3090 8.79 2167 6.16 23625 67.17

Panchla 1117 3 .75 1095 3.68 1879 6.31 1137 3.82 24532 82.43

Source: Family Survey

0

14

28

42

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

Never to school Dropout-working outside

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Table 33: Distribution of Households by nature of household debt

Block Daily

borrowing from F/R

Production loan from

F/R Institutional

loans (others) Only

institutional loan

No loan

No. % No. % No. % No. % No. %

Karimpur II 21414 43.32 8689 17.58 3606 7.29 3058 6.19 12667 25.62

Chapra 15166 53.18 4690 16.45 1736 6.09 1273 4.46 5651 19.82

Domkal 23294 31.19 7361 10.08 3216 4.41 5643 7.73 33490 45.87

Bhagabangola II 6622 22.29 2800 9.43 1428 4.81 1360 4.58 17493 58.89

Goalpokhor I 10356 19.58 4810 9.09 2521 4.77 4288 8.11 30929 58.46

Islampur 11889 23.37 3280 6.45 2319 4.56 3356 6.60 30026 59.02

Uluberia I 8088 23.00 2588 7.36 1886 5.36 1957 5.56 20652 58.72

Panchla 2018 6 .78 537 1.80 308 1.03 607 2.04 26290 88.34

Source: Family Survey

Distribution of households by family based workers - Graph based on - DAILY BORROWING FROM F/R coloumn

22.29 31.19

53.18

43.32

6.7823

23.37

19.58

Karimpur II Chapra Domkal Bhagawanda IIGoalpokhor I Islampur Uluberia I Panchla

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Table 34: Distribution of Households by migration out of the main earning member

Block Casual emp.

Seasonal emp. Livelihood Not for

earning No migration

No. % No. % No. % No. % No. %

Karimpur II 16571 33.52 7990 16.16 1829 3.70 1043 2.11 22001 44.51

Chapra 10873 38.13 5379 18.86 1389 4.87 752 2.64 10123 35.50

Domkal 20148 27.60 12830 17.57 3383 4.63 1429 1.96 35214 48.24

Bhagabangola II 7459 25.11 9186 30.93 1148 3.86 1138 3.83 10772 36.27

Goalpokhor I 10599 20.03 10548 19.94 3063 5.79 1708 3.23 26986 51.01

Islampur 4239 8 .33 9280 18.24 4457 8.76 769 1.51 32125 63.15

Uluberia I 3915 11.13 5818 16.54 3145 8.94 1682 4.78 20611 58.60

Panchla 1273 4 .28 2153 7.23 2435 8.18 1425 4.79 22474 75.52

Source: Family Survey

0

14

28

42

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

Casual employee Seasonal employee

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Table 35: Distribution of Households by special disability

Block PH without

social assistance

Old destitute Women headed

household Chronic illness None

No. % No. % No. % No. % No. %

Karimpur II 3627 7.34 1615 3.27 1190 2.41 4305 8.71 38697 78.28

Chapra 2011 7.05 1026 3.60 604 2.12 2993 10.50 21882 76.74

Domkal 4985 6.83 3013 4.13 1174 1.61 3207 4.39 60625 83.04

Bhagabangola II 1551 5.22 690 2.32 823 2.77 1160 3.91 25479 85.78

Goalpokhor I 2380 4.50 1435 2.71 1341 2.53 1380 2.61 46368 87.65

Islampur 1700 3.34 1067 2.10 942 1.65 863 1.70 46298 91.01

Uluberia I 847 2.41 1140 3.24 867 2.47 1330 3.78 30987 88.01

Panchla 419 1.41 305 1.02 266 0.89 729 2.45 28041 94.22

Source: Family Survey

0

14

28

42

Karimpur II

ChapraDomkal

Bhagawanda II

Goalpokhor I

Islampur

Uluberia I

Panchla

Never to school Dropout-working outside

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Table 36.1: Land

Gram Panchayat Landless

<1 acre of irrigated / 2

acres of non

irrigated land

>1=2 acres of irrigated / >2=4 acres

of non irrigated

land

>2=4 acres of irrigated / 3=6 acres

of non – irrigated

land

>3 acres of irrigated / 6 acres of non-irrigated land

Block - Goalpokhor I No. % No. % No. % No. % No. %

Mahua 2230 62 1135 31 179 5 49 1 12 0

Block - Islampur

No. % No. % No. % No. % No. %Ramajgunge I 1424 48 1039 35 360 12 106 4 31 1Ramajgunge II 495 33 504 33 300 20 182 12 33 2Kamalgaon 2824 56 1737 34 426 8 66 1 12 0Adimti Khanti 3563 60 1624 27 586 10 114 2 39 1

Block – Karimpur II No. % No. % No. % No. % No. %Dhoradaha I 280 60 142 30 32 7 10 2 2 0Natidanga I 335 74 85 19 26 6 0 0 4 1Natidanga II 517 70 132 18 37 5 43 6 8 1Narayanpur II 356 62 147 26 56 10 13 2 4 1

Block – Chapra No. % No. % No. % No. % No. %Haridyapur 141 57 82 33 11 4 10 4 2 1Brittihuda 335 70 113 23 29 6 3 1 1 0Chapra – II 276 96 12 4 0 0 0 0 0 0Mahatpur 225 82 48 18 1 0 0 0 0 0

Block – Domkal No. % No. % No. % No. % No. %Domkal 243 43 151 27 130 23 34 6 3 1Dhulauri 435 81 81 15 17 3 4 1 0 0Madhurkul 203 48 141 34 58 14 16 4 1 0Goribpur 350 53 281 42 25 4 3 0 4 1

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 359 63 134 23 69 12 8 1 2 0

Kharibona 382 56 197 29 65 10 29 4 7 1

Nasipur 285 69 95 23 27 7 7 2 0 0

Saralpur 319 64 126 52 44 9 6 1 2 0

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Table 36.2: Housing

Gram Panchayat

No homestead land, living in other’s

shelter with / without

permission

Kutcha house with

1 living room

Kutcha house with >=2 living

room

Semi Pucca Pucca

Block - Goalpokhor I No. % No. % No. % No. % No. %

Mahua 283 8 2402 67 234 6 355 10 331 9

Block - Islampur

No. % No. % No. % No. % No. %Ramajgunge I 134 5 1255 42 1147 39 240 8 184 6Ramajgunge II 14 1 589 39 406 27 393 26 112 7Kamalgaon 172 3 3327 66 1280 25 145 3 141 3Adimti Khanti 67 1 3707 63 1349 23 539 9 264 4

Block – Karimpur II No. % No. % No. % No. % No. %Dhoradaha I 8 2 192 41 52 11 67 14 147 32Natidanga I 1 0 217 48 122 27 65 14 45 10Natidanga II 12 2 373 51 44 6 106 14 202 27Narayanpur II 24 4 246 43 52 9 62 11 192 33

Block – Chapra No. % No. % No. % No. % No. %Haridyapur 6 2 190 77 12 5 18 7 20 8Brittihuda 12 2 344 72 14 3 28 6 83 17Chapra – II 8 3 171 59 44 15 56 19 9 3Mahatpur 17 6 226 82 1 0 8 3 22 8

Block – Domkal No. % No. % No. % No. % No. %Domkal 21 4 305 54 70 12 103 18 62 11Dhulauri 35 7 387 72 55 10 34 6 26 5Madhurkul 86 21 125 30 65 16 83 20 60 14Goribpur 7 1 226 34 14 2 93 14 323 49

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 16 3 308 54 134 23 30 5 84 15Kharibona 8 1 326 48 182 27 121 18 43 6Nasipur 35 8 257 62 57 14 27 7 38 9Saralpur 12 2 386 78 50 10 33 7 16 3

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Table 36.3: Clothing per family member

Gram Panchayat Less than 2 2 to 4 but no winter clothing

2 to 4 but winter

clothing

4 or more with winter

clothing but less than 6

More than 6

Block - Goalpokhor I No. % No. % No. % No. % No. %

Mahua 794 22 1201 33 1399 39 180 5 31 1

Block - Islampur

No. % No. % No. % No. % No. %

Ramajgunge I 457 15 941 32 1456 49 83 3 23 1

Ramajgunge II 51 3 455 30 905 60 86 6 17 1

Kamalgaon 584 12 1943 38 2314 46 188 4 36 1

Adimti Khanti 276 5 2463 42 2851 48 267 5 69 1

Block – Karimpur II

No. % No. % No. % No. % No. %

Dhoradaha I 20 4 244 52 171 33 30 6 1 0

Natidanga I 0 0 130 29 291 65 26 6 3 1

Natidanga II 93 13 452 61 156 21 32 4 4 1

Narayanpur II 178 31 173 30 141 24 82 14 2 0

Block – Chapra

No. % No. % No. % No. % No. %

Haridyapur 166 67 61 25 7 3 8 3 4 2

Brittihuda 64 13 306 64 90 19 16 3 5 1

Chapra – II 1 0 225 78 62 22 0 0 0 0

Mahatpur 242 88 31 11 1 0 0 0 0 0

Block – Domkal No. % No. % No. % No. % No. %

Domkal 17 3 311 55 194 35 30 5 9 2

Dhulauri 43 8 201 37 278 52 13 2 2 0

Madhurkul 87 21 251 60 63 15 17 4 1 0

Goribpur 9 1 64 10 516 78 67 10 7 1

Block – Bhagabangola II

No. % No. % No. % No. % No. %

Amdhara 34 6 154 27 229 40 104 18 51 9

Kharibona 9 1 119 18 426 63 103 15 23 3

Nasipur 21 5 250 60 135 33 5 1 3 1

Saralpur 288 58 103 21 61 12 28 6 17 3

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Table 36.4: Food Security

Gram Panchayat

Less than 1 part meal

most of the time in a

year

1sq meal a day but

sometimes do not eat

occasionally in the year

2 sq meals a day

sometimes fails

2 sq meals daily

through the year

No problem in securing meal

Block - Goalpokhor I No. % No. % No. % No. % No. %Mahua 502 2 836 23 1227 34 872 24 168 5

Block - Islampur No. % No. % No. % No. % No. %Ramajgunge I 195 7 356 12 635 21 1023 35 751 25Ramajgunge II 46 3 132 9 744 49 330 22 262 17Kamalgaon 160 3 965 19 2142 42 1709 34 89 2Adimti Khanti 147 2 692 12 3195 54 1490 25 402 7

Block – Karimpur II No. % No. % No. % No. % No. %Dhoradaha I 12 3 222 48 69 15 75 16 88 19Natidanga I 6 1 45 10 193 43 106 24 100 22Natidanga II 23 3 397 54 201 27 98 13 18 2Narayanpur II 7 1 28 5 173 30 344 60 24 4

Block – Chapra No. % No. % No. % No. % No. %Haridyapur 9 4 27 11 162 66 31 13 17 7Brittihuda 51 11 244 51 138 29 34 7 14 3Chapra – II 8 3 192 67 88 31 0 0 0 0Mahatpur 30 11 211 77 31 11 2 1 0 0

Block – Domkal No. % No. % No. % No. % No. %Domkal 24 4 90 16 253 45 111 20 83 15Dhulauri 19 4 140 26 368 69 4 1 6 1Madhurkul 64 15 204 49 112 27 23 8 6 1Goribpur 13 2 49 7 313 47 220 33 68 10

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 34 6 154 27 229 40 104 18 51 9Kharibona 9 1 119 18 426 63 103 15 23 3Nasipur 21 5 250 60 135 33 5 1 3 1Saralpur 288 58 103 21 61 12 28 6 17 3

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Table 36.5: Consumer durable (Cycle, Radio, TV, Fan, Cooker etc)

Gram Panchayat None Any One Any Two Any Three Owns All but any of costly

gadget

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 2832 79 635 18 84 2 21 1 33 1

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 1857 63 771 26 228 8 35 1 69 2 Ramajgunge II 452 30 707 47 210 14 27 2 118 8 Kamalgaon 3380 67 1362 27 190 4 86 2 47 1 Adimti Khanti 148 26 327 57 64 11 26 5 11 2

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 118 25 256 55 59 13 23 5 10 2 Natidanga I 86 19 241 54 89 20 14 3 20 4 Natidanga II 310 42 256 36 69 9 30 4 63 9 Narayanpur II 148 26 327 57 64 11 26 5 11 2

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 100 41 115 47 14 6 3 1 14 6 Brittihuda 164 34 262 54 43 9 6 1 6 1 Chapra – II 193 67 77 27 15 5 3 1 0 0 Mahatpur 244 89 25 9 0 0 5 2 0 0

Block – Domkal No. % No. % No. % No. % No. % Domkal 243 43 189 34 97 17 22 4 10 2 Dhulauri 217 40 282 53 29 5 2 0 7 1 Madhurkul 99 24 246 59 58 14 10 2 6 1 Goribpur 126 19 371 56 113 17 33 5 20 3

Block – Bhagabangola II No. % No. % No. % No. % No. % Amdhara 381 67 103 18 50 9 27 5 11 2 Kharibona 127 19 296 44 161 24 21 3 75 11 Nasipur 49 12 284 69 77 19 4 1 0 0 Saralpur 331 67 127 26 28 6 9 2 2 0

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Table 36.6: Literacy status of the highest literate

Gram Panchayat Literate Up to Class V

Up to Class X

Up to graduation / professional

diploma

Post graduate / professional

degree

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 1696 47 1204 33 495 14 168 5 42 1

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 921 31 1172 40 704 24 152 5 11 0 Ramajgunge II 326 22 759 50 339 22 82 5 8 1 Kamalgaon 1688 33 2188 43 806 16 366 7 17 0 Adimti Khanti 2081 35 2248 38 1066 18 459 8 72 1

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 163 35 167 36 112 24 22 5 2 0 Natidanga I 39 9 191 42 153 34 58 13 9 2 Natidanga II 172 23 250 34 197 27 96 13 22 3 Narayanpur II 116 20 135 23 229 40 89 15 7 1

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 57 23 80 33 91 37 18 7 0 0 Brittihuda 165 34 113 235 145 30 54 11 4 1 Chapra – II 88 31 134 50 40 14 16 6 0 0 Mahatpur 79 29 143 52 40 15 12 4 0 0

Block – Domkal No. % No. % No. % No. % No. % Domkal 170 30 155 28 157 28 74 13 5 1 Dhulauri 276 51 195 36 53 10 12 2 1 0 Madhurkul 259 62 125 30 31 7 3 1 1 0 Goribpur 93 14 371 56 115 17 74 11 10 2

Block – Bhagabangola II No. % No. % No. % No. % No. % Amdhara 99 17 168 29 227 40 64 11 14 2 Kharibona 128 19 186 27 276 41 83 12 7 1 Nasipur 68 16 190 46 100 24 29 7 27 7 Saralpur 126 25 267 54 65 13 29 6 10 2

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Table 36.7: Family based workers

Gram Panchayat

All old / children:

No regular earner

Women & child labour

All adult male / female

worker: No child labour

Only adult male

worker Others

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 737 20 362 10 207 6 2026 56 273 8

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 96 3 194 7 154 5 2261 76 255 9 Ramajgunge II 82 55 70 5 37 2 1139 75 186 125 Kamalgaon 415 8 363 7 225 4 3858 76 204 4 Adimti Khanti 420 7 371 6 571 5 4113 69 751 13

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 39 8 25 5 38 8 351 75 13 3 Natidanga I 41 9 10 2 8 2 350 78 41 9 Natidanga II 79 11 19 3 17 2 553 75 69 9

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 17 7 12 5 4 2 206 84 7 3 Brittihuda 72 15 16 3 16 35 367 76 10 2 Chapra – II 14 5 5 2 33 11 113 39 123 43 Mahatpur 28 10 12 4 6 2 226 82 2 1

Block – Domkal No. % No. % No. % No. % No. % Domkal 57 10 176 31 34 6 282 50 12 2 Dhulauri 17 3 4 1 10 2 252 84 54 10 Madhurkul 95 23 144 34 36 9 141 34 3 1 Goribpur 96 14 47 7 18 3 466 70 36 5

Block – Bhagabangola II No. % No. % No. % No. % No. % Amdhara 17 3 17 3 26 5 449 78 63 11 Kharibona 50 7 26 4 25 4 535 79 44 6 Nasipur 26 6 9 2 16 4 64 15 299 72 Saralpur 104 21 322 65 42 8 24 5 5 1

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Table 36.8: Means of living

Gram Panchayat Day/ Agri/

Wage labour

Agriculture & self

employed in agriculture

Self employed artisan,

hawker but does not employ others

Regular wage

employment in

unorganized sector

Others

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 2213 61 1015 21 69 2 133 4 175 5

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 1540 52 943 32 206 7 125 4 146 5 Ramajgunge II 726 48 645 43 31 2 38 3 74 5 Kamalgaon 3137 62 1154 23 273 5 298 6 203 4 Adimti Khanti 3485 59 1500 25 129 2 387 7 425 7

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 274 59 129 28 25 5 20 4 18 4 Natidanga I 284 63 72 16 8 2 23 5 63 14 Natidanga II 491 67 145 20 24 35 17 2 60 8 Narayanpur - II 320 56 173 30 21 4 17 3 45 8

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 198 80 31 13 6 2 4 2 7 3 Brittihuda 330 69 91 19 15 3 21 4 24 5 Chapra – II 205 71 68 24 13 5 1 0 1 0 Mahatpur 239 87 26 9 6 2 2 1 1 0

Block – Domkal No. % No. % No. % No. % No. %Domkal 239 43 247 44 9 2 12 2 54 10Dhulauri 437 81 88 16 1 0 2 0 9 2Madhurkul 153 37 236 56 13 3 11 3 6 1Goribpur 308 46 193 29 12 2 18 3 132 20

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 314 55 187 33 12 2 5 1 54 9Kharibona 354 52 200 29 63 9 23 3 42 6Nasipur 321 78 41 10 10 2 4 1 38 9Saralpur 282 57 170 34 32 6 10 2 3 1

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Table 36.9: Literacy status from 9 – 14 years children

Gram Panchayat Never goes to school

Drop out: Work with

others outside home

Drop out: Work at

home

Drop out: No special

work No drop out

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 1509 42 295 8 159 4 159 4 1483 41

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 815 28 245 8 549 19 148 5 1203 41 Ramajgunge II 499 33 159 11 237 16 63 4 556 37 Kamalgaon 2082 41 587 12 217 4 63 1 2116 42 Adimti Khanti 1995 34 433 7 388 7 364 6 2746 46

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 155 33 84 18 31 75 20 4 176 38 Natidanga I 67 15 45 10 41 9 32 7 265 59 Natidanga II 260 35 179 24 90 12 6 1 202 27 Narayanpur - II 160 28 6 1 6 1 6 1 398 69

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 75 30 12 5 17 7 1 0 141 57 Brittihuda 300 62 39 8 6 1 8 2 128 27 Chapra – II 152 53 77 27 31 11 6 2 22 8 Mahatpur 224 82 20 7 18 7 1 0 11 4

Block – Domkal No. % No. % No. % No. % No. %Domkal 84 15 18 3 10 2 5 1 444 79Dhulauri 333 62 13 2 20 4 0 0 171 32Madhurkul 90 21 245 58 10 2 71 17 3 1Goribpur 18 3 14 2 17 3 14 2 600 90

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 47 8 26 5 22 4 1 0 476 83Kharibona 77 11 15 2 61 9 19 3 508 75Nasipur 8 2 1 0 3 1 1 0 401 97Saralpur 161 32 235 47 58 12 15 3 28 6

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Table 36.10: Nature of Household Debt

Gram Panchayat

Daily borrowing from friend

/ relative for family

needs

Production loan from

friend / relative

Institutional loan from some other

purpose

Only institutional

debt

No indebtedness

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 390 11 380 11 107 3 479 13 2249 62

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 1041 35 197 7 29 1 137 5 1556 53 Ramajgunge II 432 29 64 4 35 2 213 14 770 51 Kamalgaon 2824 56 348 7 101 2 169 3 1623 32 Adimti Khanti 1382 23 395 7 636 11 250 4 3263 55

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 85 18 172 37 20 4 10 2 179 38 Natidanga I 239 53 61 14 31 7 32 7 87 19 Natidanga II 342 46 118 16 45 6 48 7 184 25 Narayanpur - II 357 62 7 1 6 1 23 4 426 74

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 106 43 4 2 0 0 66 27 70 28 Brittihuda 362 75 71 15 10 2 13 3 25 5 Chapra – II 266 92 12 4 0 0 2 1 8 3 Mahatpur 234 85 20 7 11 4 4 1 5 2

Block – Domkal No. % No. % No. % No. % No. %Domkal 23 4 10 2 5 1 44 8 479 58Dhulauri 114 21 1 0 0 0 17 3 405 75Madhurkul 104 25 196 47 81 19 15 4 23 5Goribpur 53 8 50 8 10 2 51 8 499 75

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 209 37 82 14 2 0 9 2 270 47Kharibona 338 50 156 23 58 9 8 1 120 18Nasipur 0 0 16 4 1 0 9 2 388 94Saralpur 18 4 8 2 5 1 12 2 454 91

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Table 36.11: Migration out of the main earning member

Gram Panchayat Casual employment

Seasonal employment

In search of livelihood

Not for the purpose of

earning

No migration for earning

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 1030 29 649 18 217 6 71 2 1638 45

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 363 12 655 22 470 16 27 1 1445 49 Ramajgunge II 31 2 321 21 119 8 10 1 1033 68 Kamalgaon 454 9 1400 28 404 8 46 1 2761 55 Adimti Khanti 340 6 1222 21 320 5 88 1 3956 67

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 127 27 91 20 5 1 2 0 241 52 Natidanga I 128 28 107 24 14 3 11 2 190 42 Natidanga II 406 55 107 15 17 2 2 0 205 28 Narayanpur - II 133 23 9 2 2 0 6 1 426 74

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 104 42 30 12 2 1 5 2 105 43 Brittihuda 281 58 75 16 12 2 10 2 103 21 Chapra – II 123 43 28 10 2 1 1 0 134 47 Mahatpur 216 79 17 6 1 0 17 6 23 8

Block – Domkal No. % No. % No. % No. % No. %Domkal 107 19 113 20 3 1 9 2 229 59Dhulauri 369 69 14 3 1 0 0 0 153 28Madhurkul 156 37 173 41 5 1 3 1 82 20Goribpur 101 15 147 22 14 2 3 0 398 60

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 181 32 82 14 31 5 1 0 277 48Kharibona 52 8 253 37 65 10 1 0 309 44Nasipur 10 2 358 86 6 1 5 1 35 8Saralpur 424 85 25 5 7 1 1 0 40 8

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Table 36.12: Special Disability

Gram Panchayat

Permanently handicapped

without Govt. help /

social assistance

Old destitute

Women headed

household

Medical expenses beyond

means for chronic illness

None of these

Block - Goalpokhor I No. % No. % No. % No. % No. % Mahua 100 3 81 2 56 2 51 1 3317 92

Block - Islampur No. % No. % No. % No. % No. % Ramajgunge I 178 6 50 2 45 2 32 1 2655 90 Ramajgunge II 96 6 37 2 37 2 15 1 1329 88 Kamalgaon 223 4 65 1 62 1 149 3 4566 90 Adimti Khanti 243 4 195 3 114 2 104 2 2570 89

Block – Karimpur II No. % No. % No. % No. % No. % Dhoradaha I 15 3 10 2 6 1 21 5 414 89 Natidanga I 28 6 23 5 34 8 25 6 340 76 Natidanga II 70 9 20 3 18 2 108 15 521 71 Narayanpur - II 44 8 3 1 7 1 21 4 501 87

Block – Chapra No. % No. % No. % No. % No. % Haridyapur 14 6 11 4 0 0 65 26 156 63 Brittihuda 34 7 47 10 6 1 35 7 359 75 Chapra – II 61 21 15 5 19 7 2 1 191 66 Mahatpur 32 12 12 4 8 3 173 63 49 18

Block – Domkal No. % No. % No. % No. % No. %Domkal 34 6 14 2 8 1 4 1 501 89Dhulauri 65 12 22 4 1 0 39 7 410 76Madhurkul 46 11 31 7 8 2 2 0 332 79Goribpur 50 8 22 3 4 1 9 1 578 87

Block – Bhagabangola II No. % No. % No. % No. % No. %Amdhara 31 5 4 1 7 1 4 1 526 92Kharibona 26 4 32 5 16 2 11 2 595 88Nasipur 18 4 27 7 5 1 25 6 339 82Saralpur 29 6 6 1 0 0 2 0 416 93

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Table 37: Human development profiles of districts in West Bengal where muslim population is 25% or nearly so

HDI GDI Education Index Health Index Income

Index Sl No. District

Value Rank Value Rank Value Rank Value Rank Value Rank

1 Murshidabad 0.46 15 0.41 15 0.52 16 0.57 14 0.29 14

2 Malda 0.44 17 0.39 17 0.48 17 0.49 17 0.36 13

3 U.Dinajpur 0.51 13 0.46 10 0.53 15 0.62 11 0.39 11

4 D.Dinajpur 0.51 13 0.46 10 0.53 15 0.62 11 0.39 11

5 Birbhum 0.47 14 0.42 14 0.61 12 0.53 15 0.27 15

6 D.24Pargana 0.60 8 0.51 8 0.68 7 0.71 7 0.40 10

7 Howrah 0.68 2 0.56 3 0.75 3 0.77 2 0.53 2

8 Coochbehar 0.52 11 0.45 12 0.65 10 0.50 16 0.41 9

9 Nadia 0.58 9 0.49 9 0.66 9 0.65 10 0.42 8

Source: Development and Planning Department, Govt. of West Bengal

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Table 38: Distribution of Muslims by employment in public services

Sl. No. State

% share of Muslims in

total population

% share of Muslims in public

employment Co-efficient of equality

(1) (2) (3) (3/2 x 100)

1 West Bengal 25.2 2.1 8.3

2 Kerala 24.7 10.4 42.1

3 Uttar Pradesh 18.5 5.1 27.6

4 Bihar 16.5 7.6 46.1

5 Assam 30.9 11.2 36.2

6 Jharkhand 13.8 6.7 48.5

7 Karnataka 12.2 8.5 69.7

8 Delhi 11.7 3.2 27.6

9 Maharastra 10.6 4.4 41.5

10 Andhra Pradesh 9.2 8.8 95.6

11 Gujrat 9.1 5.4 59.3

12 Tamilnadu 5.6 3.2 57.1

Source: Sachar Report

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Table 39: Distribution of Muslims by share in bank credits

Sl. No. State

% of Muslims in

total population

% of Muslims in bank credit

Co-efficient of equality

(1) (2) (3) (3/2 x 100)

1 West Bengal 25.20 9.20 36.50

2 Kerala 24.70 15.80 64.00

3 Uttar Pradesh 18.50 8.60 46.48

4 Bihar 15.90 7.00 44.02

5 Assam 30.90 7.90 25.46

6 Jammu & Kashmir 67.00 54.40 81.20

7 Karnataka 12.20 4.70 38.50

8 Delhi 11.90 0.50 8.40

9 Maharastra 10.60 2.00 18.90

10 Andhra Pradesh 9.20 2.80 30.40

11 Gujrat 9.10 2.60 28.90

12 Tamilnadu 5.60 3.20 57.10

13 Rajasthan 8.50 3.00 35.29

14 Madhya Pradesh 5.20 3.10 59.60

15 Haryana 5.80 0.70 12.10

16. Tamilnadu 5.60 6.60 117.80

17 Orissa 2.10 2.00 95.23

18 Himachal Pradesh 2.00 0.60 30.00

19 Punjab 1.60 0.30 18.80

20 Other States 5.60 2.80 50.00

India 13.40 4.60 34.32

Source: Sachar Report

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Table 40: Muslim population in West Bengal

Sl. No. Districts Population Sex

Ratio@ Sex

Ratio@ Literacy %

(0-6 years) Total Male Female

1 Bankura 239722 924 952 59.91 71.81 46.96

2 Burdwan 1364133 920 961 68.79 75.54 61.39

3 Birbhum 1057861 952 968 59.86 68.28 50.97

4 D.Dinajpur 361047 956 967 67.21 72.81 61.33

5 U.Dinajpur 1156503 950 972 34.04 64.58 25.50

6 Darjeeling 85378 868 987 50.38 60.86 37.92

7 Howrah 1044383 910 958 67.80 74.13 60.78

8 Hoogly 763471 958 955 73.50 79.43 67.31

9 Jalpaiguri 369195 941 973 55.34 64.98 45.01

10 Coochbehar 600911 954 969 56.07 64.59 47.11

11 Kolkata 926769 739 918 68.06 71.25 63.61

12 Malda 1636171 950 965 45.30 51.56 38.68

13 Medinipur 1088618 953 965 64.27 75.05 64.36

14 Murshidabad 3735380 958 976 48.63 68.09 42.76

15 Nadia 1170282 938 979 49.41 67.39 44.00

16 U.24 Parganas 2164058 929 968 65.05 66.68 58.13

17 D.24 Parganas 2295967 948 971 59.83 65.28 50.27

18 Purulia 180694 935 966 53.44 65.98 34.14

Source: Census (2001) [@ in 1000 males]

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Table 41: Share of Muslim population in rural and urban areas of West Bengal

Sl. No. Districts % share in total population

% share in rural population

% share in urban population

1 Bankura 7.51 95.46 4.54

2 Burdwan 19.78 74.71 25.59

3 Birbhum 35.08 95.71 4.29

4 D.Dinajpur 24.02 99.57 0.43

5 U.Dinajpur 47.36 97.88 2.12

6 Darjeeling 5.31 70.50 29.59

7 Howrah 24.44 52.63 47.37

8 Hoogly 15.14 76.30 23.70

9 Jalpaiguri 10.85 91.37 8.65

10 Coochbehar 24.24 96.65 3.35

11 Kolkata 20.27 0.00 100.00

12 Malda 49.72 98.32 1.62

13 Medinipur 41.33 88.59 11.41

14 Murshidabad 63.67 91.68 8.32

15 Nadia 25.41 96.07 3.93

16 U.24 Parganas 24.22 79.10 20.90

17 D.24 Parganas 33.24 86.85 13.15

18 Purulia 7.12 85.30 14.70

Source: Census 2001

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Table 42: Distribution of gross enrolment of children in schools by social classes (%)

Sl. Class Scheduled Caste Scheduled Tribe Minorities Others

Boys Girls Total Boys Girls Total Boys Girls Total Girls Total

1 I – IV 29.07 28.78 28.92 6.65 6.19 6.43 23.39 24.07 23.73 40.98 40.93

2 V - VIII 25.93 23.20 24.64 4.88 3.70 4.32 13.97 15.93 14.90 57.17 56.14

3 IX – X 22.39 18.39 20.62 4.13 2.64 3.47 11.27 11.84 11.52 67.13 64.39

4 XI - XII 17.89 13.83 16.33 2.57 1.59 2.19 9.10 7.40 8.45 77.18 73.03

Source: Annual Report: Department of School Education (2005 – 06)

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Table 43: Distribution of Muslim population by occupation in West Bengal

District Work

participation rate(%)

Self employed in agri(%) Agrilabour(%)

Household industry

(%)

Other workers

(%)

Tot Male Female Tot Male Female Tot MaleFemale Male Female Tot Male Female

Bankura 39.64 52.37 25.86 28.44 33.40 17.58 24.1526.27 19.52 2.22 39.4 33.53 38.11 23.5

Burdwan 31.84 52.16 9.77 23.44 25.52 11.39 26.5028.17 16.83 2.35 27.53 44.01 43.79 44.25

Birbhum 31.89 50.19 11.91 26.06 29.69 9.76 29.5233.22 12.90 2.51 46.25 33.95 34.59 31.1

Dakshin Dinajpur 34.54 53.28 14.94 46.12 52.13 23.05 34.0034.69 31.41 0.82 6.66 17.82 12.18 31.1

Uttar Dinajpur 35.51 49.21 21.09 36.37 40.81 25.47 42.5841.46 45.33 0.71 11.81 17.13 17.02 17.40

Darjeeling 29.97 47.25 10.08 11.90 12.76 7.25 22.1821.01 28.49 2.90 2.75 63.05 63.33 61.51

Howrah 29.53 49.51 7.57 2.45 2.45 2.50 6.25 6.39 5.24 23.73 52.01 64.11 67.43 40.25

Hoogly 31.81 51.61 11.14 18.69 19.90 12.83 14.7614.82 14.48 3.12 29.3 58.95 62.16 43.39

Jalpaiguri 36.12 51.27 20.02 23.50 24.66 20.34 30.2524.03 47.55 1.03 1.99 44.86 50.28 30.12

Coochbehar 36.78 52.18 20.64 37.71 40.33 30.77 37.5231.65 53.32 0.78 3.29 23.29 27.33 12.61

Kolkata 35.11 55.70 7.24 0.42 0.29 1.76 0.20 0.16 0.62 8.32 13.04 90.64 11.23 84.53

Malda 40.09 51.35 28.23 19.47 27.09 4.88 27.6034.62 14.16 4.97 51.42 32.02 33.31 29.53

Medinipur 30.56 47.75 12.52 16.16 17.04 12.65 24.1723.42 27.19 4.89 31.12 49.53 54.65 29.04

Murshidabad 33.52 49.64 16.69 19.32 24.38 3.61 29.5937.79 4.14 8.02 74.13 26.96 29.81 18.11

Nadia 33.87 54.29 12.10 28.85 30.93 18.91 36.1141.99 7.95 4.72 24.57 26.89 22.36 48.57

Uttar 24Parganas 30.59 50.95 8.67 19.33 21.20 7.50 25.1526.71 15.30 3.43 23.28 49.38 48.66 53.92

Dakshin 24Parganas 27.71 46.38 7.53 12.39 12.72 10.27 26.7826.37 29.51 7.29 21.22 51.69 53.63 39.00

Purulia 34.48 46.27 21.88 17.28 16.04 20.07 29.4817.98 55.50 6.25 12.46 45.05 59.72 11.97

Source: Census 2001

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Table 44:Distribution of Muslim women by mother language (Dist – Nadia, N – 259)

Sl. No. Language Spoken No. of Respondents % of total

1 Bengali 259 100

2 Urdu NIL NIL

3 Hindi NIL NIL

Source: Field Survey

Table 45:Distribution of Muslim households by income class (Dist– Nadia, N – 259)

Sl. No. Status No. of households % of total

1 High 37 14

2 Middle 78 30

3 Poor 144 56

Source: Field Survey

Table 46: Distribution of Muslim women by age (Dist – Nadia, N – 259)

Sl. No. Age No. of Respondents % of total

1 20 or less 7 3

2 21 – 30 96 37

3 31 – 45 101 39

4 46 – 60 41 16

5 Above 60 14 5

Source: Field Survey

Table 47: Distribution of Muslim women by marital status (Dist – Nadia, N – 259)

Sl. No. Marital Status No. of Respondents % of total 1 Unmarried NIL NIL 2 Married 237 92 3 Widow 20 8 4 Talag – pronounced 1 insignificant 5 Separated NIL NIL 6 Left behind NIL NIL 7 Remarried 1 insignificant

Source: Field Survey

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Table 48: Distribution of Muslim families by number of members (Dist – Nadia, N– 259)

Sl. No. Membership No. of Respondents % of total

1 Male Adult

a) Upto two 169 65

b) More than two 85 33

2 Female

a) Upto two 183 71

b) More than two 76 29

3 Male Child

a) Upto two 57 22

b) More than two NIL NIL

4 Female Child

a) Upto two 44 17

b) More than two NIL NIL

Source: Field Survey

Table 49: Distribution of Muslim women by educational status (Dist – Nadia, N – 259)

Sl. No. Education No. of Respondents % of total

1 Literate 102 39

2 Upto primary 113 40

3 Madhyamik 46 5

4 Higher Secondary or above 10 4

Source: Field Survey

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Table 50: Distribution of family members by educational status (Dist – Nadia, N – 259)

Sl. No.

Educational Status

At present number

% of total Before 10 yrs

% of total

1 Primary

a) Upto two 127 49 93 36

b) More than two 23 9 19 7

2 Madhyamik

a) One 63 24 35 14

b) More than one 84 32 14 5

3 Uchha Madhyamik

a) One 13 5 4 2

b) More than one 4 2 2 1

4 Graduate

a) One 9 3 3 1

b) More than one 4 2 NIL NIL

5 Post Graduate

a) One 3 1 1 insignificant

b) More than one 1 insignificant 1 insignificant

Source: Field Survey

Table 51: Distribution of Muslim Women by ownership of assets (Dist – Nadia, N – 259)

Sl. No. Nature of assets No. of Households % of total

1 Land 17 7

2 House 4 2

3 Savings & other assets 87 34

4 No asset 158 61

Source: Field Survey

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Table 52: Distribution of Muslim Women by occupation (Dist – Nadia, N – 259)

Sl. No. Occupation Number % of total

1 Agriculture 4 2

2 Livestock 53 20

3 House industry 8 3

4 Small business 6 2

5 Service 3 1

6 No employment 184 71

7 Others 1 insignificant

Source: Field Survey

Table 53: Distribution of Muslim households by members engaged in occupation (Dist – Nadia, N – 259)

Sl. No. Family members active in occupation No. of members % of total

1 Agriculture

a) Upto two 197 76

b) More than two 12 5

2 Livestock

a) Upto two 63 24

b) More than two 84 32

3 House industry

a) Upto two 13 5

b) More than two 4 2

4 Small business

a) One 9 3

b) More than one 4 2

5 Service

a) One 3 1

b) More than one 1 insignificant

6. Others

a) One 39 15

b) More than one 2 1

Source: Field Survey

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Table 54: Distribution of Muslim households by change of status of employment (Dist – Nadia, N – 259)

Sl. No. Status of employment No. of family members % of total

1 Member employed 10 yrs ago 312 124

2 Member employed at present 403 156

Source: Field Survey

Table 55: Distribution of Muslim women by monthly income (Dist – Nadia, N – 259)

Sl. No. Income range No. of women % of total

1 Upto Rs. 500 69 27

2 Rs. 501 – Rs. 1000 3 1

3 Rs. 1001 – Rs. 2000 1 insignificant

4 Above Rs. 2000 NIL NIL

5 No income 186 72

Source: Field Survey

Table 56: Distribution of households by range of family income (Dist – Nadia, N – 259)

Sl. No. Range of monthly family income No. of muslim households % of total

1 Upto Rs. 2000 165 64

2 Rs. 2001 – Rs. 5000 75 29

3 Rs. 5001 – Rs. 10000 16 6

4 Rs. 10001 – Rs. 20000 2 1

5 Above Rs. 20000 NIL NIL

Source: Field Survey

Table 57: Distribution of households by increase in monthly family income (Dist – Nadia, N – 259)

Sl. No. Range of increase in monthly family income No. of households % of total1 Upto Rs. 500 64 252 Rs. 501 – Rs. 1000 32 123 Rs. 1001 – Rs. 2000 10 44 More than Rs. 2000 3 15 No increase 150 58

Source: Field Survey

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Table 58: Distribution of households by status of food security (Dist – Nadia, N – 259)

Sl. No. Food security status Yes

No. %

1 Two square meals daily 233 90

2 Take pulses daily 155 60

3 Eat vegetables regularly 165 64

4 Take protein food regularly 123 47

Source: Field Survey

Table 59: Distribution of women by institution of delivery (Dist – Nadia, N – 259)

Sl. No. Institution Number % of total

1 At hospital / health centre 64 25

2 At home 193 75

3 By trained dai 88 34

4 By neighbours 139 54

Source: Field Survey

Table 60: Distribution of women by age at marriage (Dist – Nadia, N – 259)

Sl. No. Age at marriage Number % of total

1 Below 18 years of age 225 87

2 Above 18 years of age 34 13

Source: Field Survey

Table 61: Distribution of women by method of family planning (Dist – Nadia, N – 259)

Sl. No. Method of family planning Number % of total

1 Adopted / willing to adopt pmt. method 76 29

2 Using modern method 68 26

3 No family planning 115 44

4 No response NIL NIL

Source: Field Survey

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Table 62: Distribution of women by the institution for medical treatment (Dist – Nadia, N – 259)

Sl. No. Institution Number % of total

1 Hospital 195 75

2 Health centre 135 52

3 Qualified doctor 149 58

4 Quack / Yunani 20 8

5 Unqualified RMP 171 66

6 Others 2 1

Source: Field Survey

Table 63: Distribution of women by access of health services (Dist – Nadia, N – 259)

Sl. No. Health care service during pregnancy Number % of total

1 Health examination (thrice) 108 42

2 Anti – tetanus injection 129 50

3 Iron tablets 115 44

4 Supplementary food 35 14

Source: Field Survey

Table 64: Distribution of women by immunization of children (Dist – Nadia, N – 259)

Sl. No. Immunization coverage Number % of total

1 100% coverage 115 44

2 Not all children 58 22

3 None 36 14

4 Partial coverage 50 19

Source: Field Survey

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Table 65: Distribution of women by perceptions of change in health care measures in the last 10 years (Dist – Nadia, N – 259)

Sl. No. Change in health service Number % of total

1 Increase in public health care 167 64

2 Regular monitoring by health worker 168 65

3 Increase in access to doctor 225 87

4 Other 1 insignificant

5 No change 56 22

Source: Field Survey

Table 66: Distribution of Muslim families by access to water and sanitation (Dist – Nadia, N – 259)

Sl. No. Source Yes

No. %

1 Tube well 254 98

2 Sanitory latrine 159 61

3 Drainage facility 54 21

4 Smokeless chullah 14 5

Source: Field Survey

Table 67: Distribution of Muslim women by association (Dist – Nadia, N – 259)

Sl. No. Association Number % of total

1 Self – Help group 78 30

2 Gram Unnayan samity 10 4

3 Anganwadi centre 7 3

4 Mother – Teacher committee 6 2

5 None 158 61

Source: Field Survey

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Table 68: Distribution of muslim women by membership in Self – help group (Dist – Nadia, N – 259)

Sl. No. Membership status Number % of total

1 Savings

a) Upto Rs. 1000 56 72

b) Above Rs. 1000 22 28

2 Credit

a) Upto Rs. 1000 22 28

b) Above Rs. 1000 33 42

3 Participation in social action 12 15

4 Increase in income 55 70

Source: Field Survey

Table 69: Distribution of women by awareness of Govt. Program (Dist – Nadia, N – 259)

Sl. No. Program Yes

No. %

1 Indira Abas Yojana 143 55

2 NREGA 234 90

3 Janan Suraksha Yojana 152 59

4 Widow Pension 71 27

5 S.G.S.Y 191 74

6 Balika Samriddhi Yojana 36 14

7 Others 1 0

8 None 73 28

Source: Field Survey

Table 70: Distribution of women by knowledge of Gram Sansad (Dist – Nadia, N – 259)

Sl. No. Program Yes No

No. % No. %

1 Heard about it 112 43 147 57

Source: Field Survey

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Table 71: Distribution of Muslim families by access to public services (Dist – Nadia, N – 259)

Sl. No. Services/Utility Yes % No %

1 Ration card 240 93 19 7

2 Voter ID 253 98 6 2

3 Job card 219 85 40 15

4 BPL card 125 48 131 51

5 Health card 165 64 94 36

Source: Field Survey

Table 72: Distribution of women by opinion about elected panchayat representative (Dist – Nadia, N – 259)

Sl. No. Opinion accessible Yes

No. %

1 Attentive 169 65

2 Tries up to ability 169 65

3 Never listens 78 30

4 No work, no power 75 29

Source: Field Survey

Table 73: Distribution of Muslim women by assistance of Govt. employees (Dist – Nadia, N – 259)

Sl. No. Indicator Yes

No. %

1 Not known 173 67

2 Not seen 149 57

3 Empathetic 86 33

4 Tries utmost 70 27

Source: Field Survey

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Table 74: Distribution of Muslim women by legal awareness (Dist – Nadia, N – 259)

Sl. No. Nature of law Yes

No. %

1 Sariat 119 46

2 Marriage registration 106 41

3 Domestic violence 59 23

4 Wife bashing 80 31

5 Trafficking 101 39

6 Talaq 146 56

7 Khula 85 33

8 Maintenance 86 33

9 Right to property 113 44

Source: Field Survey

Table 75: Distribution of Muslim women by activities of Gram Panchayat (Dist – Nadia, N – 259)

Sl. No. Indicator Yes

No. %

1 Drinking water 159 61

2 Roads 179 69

3 Electricity 122 47

4 Drainage 33 13

Source: Field Survey

Table 76: Distribution of Muslim women by opinion about SHG (Dist – Nadia, N – 259) (SHG Members)

Sl. No. SHG’s Need Yes

No. %

1 Assistance of GP 72 28

2 Training / Skill formation 72 28

3 Bank assistance 73 28

4 Marketing assistance 70 27

Source: Field Survey

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Table 77: Distribution of Muslim women by mother language (Dist – Howrah, N – 200)

Sl. No. Language spoken Number % of total

1 Bengali 200 100

Source: Field Survey

Table 78: Distribution of Muslim households by income class (Dist – Howrah, N – 200)

Sl. No. Status No. of households % of total

1 High 48 24

2 Middle 72 36

3 Poor 80 40

Source: Field Survey

Table 79: Distribution of Muslim women by age (Dist – Howrah, N – 200)

Sl. No. Age No. of respondents % of total

1 20 or less 2 1

2 21 – 30 60 30

3 31 – 45 91 45

4 46 – 60 42 21

5 Above 60 5 3

Source: Field Survey

Table 80: Distribution of Muslim women by marital status (Dist – Howrah, N – 200)

Sl. No. Marital status No. of respondents % of total

1 Unmarried 1 insignificant

2 Married 172 86

3 Widow 25 13

4 Talaq pronounced 1 insignificant

5 Separated NIL NIL

6 Left behind NIL NIL

7 Remarried 1 insignificant

Source: Field Survey

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Table 81: Distribution of Muslim families by number of member (Dist – Howrah, N – 200)

Sl. No. Membership status Number % of total

1 Male adult

a) Upto two 82 41

b) More than two 116 58

2 Female

a) Upto two 94 47

b) More than two 105 53

3 Male child

a) Upto two 76 38

b) More than two 5 3

4 Female child

a) Upto two 71 36

b) More than two 5 3

Source: Field Survey

Table 82: Distribution of Muslim women by educational status (Dist – Howrah, N – 200)

Sl. No. Education No. of respondents % of total

1 Literate 93 47

2 Upto primary 39 20

3 Madhyamik 54 27

4 Higher secondary or above 14 7

Source: Field Survey

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Table 83: Distribution of family members by educational status (Dist – Howrah, N – 200)

Sl. No.

Educational status At present number

% of total

Before 10 years

% of Total

1 Primary

a) Upto two 80 40 97 49

b) More than two 65 33 41 21

2 Madhyamik

a) One 41 21 37 19

b) More than one 103 52 39 20

3 Uchha madhyamik

a) One 11 6 5 3

b) More than one 8 4 3 2

4 Graduate

a) One 6 3 2 1

b) More than one 4 2 2 1

5 Post Graduate

a) One NIL NIL NIL NIL

b) More than one NIL NIL NIL NIL

Source: Field Survey

Table 84: Distribution of Muslim Women by ownership of assets (Dist – Howrah, N – 200)

Sl. No. Nature of asstes No. of households % of total

1 Land 14 7

2 House 7 4

3 Savings & other assets 48 24

4 No asset 131 65

Source: Field Survey

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Table 85: Distribution of Muslim Women by occupation (Dist – Howrah, N – 200)

Sl. No. Occupation Number % of total

1 Agriculture 2 1

2 Livestock 9 4

3 House industry 30 15

4 Small business 1 1

5 Service NIL NIL

6 No employment 149 75

7 Others 9 4

Source: Field Survey

Table 86: Distribution of Muslim households by members engaged in occupation (Dist – Howrah, N– 200)

Sl. No. Family members active in occupation Number of members % of total

1 Agriculture

a) Upto two 25 13

b) More than two 1 insignificant

2 Livestock

a) Upto two 3 2

b) More than two NIL NIL

3 House industry

a) Upto two 114 57

b) More than two 31 16

4 Small business

a) One 14 7

b) More than one 3 2

5 Service

a) One 7 4

b) More than one 2 1

6 Others

a) One 42 21

b) More than one 20 10

Source: Field Survey

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Table 87: Distribution of Muslim households by change of status of employment (Dist – Howrah, N – 200)

Sl. No. Status of employment No. of family members % of total

1 Members employed 10 years ago 198 99

2 Members employed at present 198 99

Source: Field Survey

Table 88: Distribution of Muslim women by monthly income (Dist – Howrah, N – 200)

Sl. No. Income range No. of women % of total

1 Upto Rs. 500 26 13

2 Rs. 501 – Rs. 1000 11 6

3 Rs. 1001 – Rs. 2000 10 5

4 Above Rs. 2000 NIL NIL

5 No income 153 76

Source: Field Survey

Table 89: Distribution of households by range of family income (Dist – Howrah, N – 200)

Sl. No. Range of monthly family income No. of Muslim households % of total

1 Upto Rs. 2000 96 48

2 Rs. 2001 – Rs. 5000 82 41

3 Rs. 5001 – Rs. 10000 15 8

4 Rs. 10001 – Rs. 20000 3 2

5 Above Rs. 20000 3 2

Source: Field Survey

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Table 90: Distribution of households by increase in monthly income (Dist – Howrah, N – 200)

Sl. No. Range of increase in monthly income No. of households % of total

1 Upto Rs. 500 52 26

2 Rs. 501 – Rs. 1000 36 18

3 Rs. 1001 – Rs. 2000 7 4

4 More than Rs. 2000 6 3

5 No increase 99 50

Source: Field Survey

Table 91: Distribution of households by staus of food security (Dist – Howrah, N – 200)

Sl. No. Food security status Yes

No. %

1 Two squares meals daily 183 92

2 Take pulses regularly 122 61

3 Eat vegetables regularly 172 86

4 Take protein food regularly 100 50

Source: Field Survey

Table 92: Distribution of Muslim women by institution of delivery (Dist – Howrah, N – 200)

Sl. No. Institution Number % of total

1 At hospital / health care 93 46

2 At home 130 64

3 By trained dai 62 31

4 By neighbours 68 34

Source: Field Survey

Table 93: Distribution of Muslim women by age at marriage (Dist – Howrah, N – 200)

Sl. No. Age at marriage No. of respondents % of total

1 Below 18 years of age 167 84

2 Above 18 years of age 32 16

Source: Field Survey

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Table 94: Distribution of Muslim women by method of family planning (Dist – Howrah, N – 200)

Sl. No. Method of family planning No. of respondents % of total

1 Adopted / willing to adopt pmt. Method 43 21

2 Using modern method 51 25

3 No family planning 106 53

Source: Field Survey

Table 95: Distribution of Muslim women by the institution for medical treatment (Dist – Howrah, N – 200)

Sl. No. Institution No. of respondents % of total

1 Hospital 130 65

2 Health Centre 85 43

3 Qualified Doctor 190 95

4 Quack / Yunani 25 13

5 Unqualified RMP 158 79

6 Others 1 1

Source: Field Survey

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Table 96: Distribution of Muslim Women by access of health service (Dist – Howrah, N – 200)

Sl. No. Health care service by pregnancy No. of respondents % of total

1 Health examination (thrice) 52 26

2 Anti titenus injection 130 65

3 Iron tablets 54 27

4 Supplementary food 44 22

Source: Field Survey

Table 97: Distribution of Muslim women by immunization of children (Dist – Howrah, N – 200)

Sl. No. Immunization coverage No. of respondents % of total

1 100% coverage 53 27

2 Not all children 98 49

3 None 28 14

4 Partial coverage 21 10

Source: Field Survey

Table 98: Distribution of Muslim women by perception of change in health care measures in the last 10 years (Dist – Howrah, N – 200)

Sl. No. Change in health service No. of respondents % of total

1 Increase in public health care 115 58

2 Regular monitoring by health worker 152 76

3 Increase in access to doctor 190 95

4 Other 3 2

5 No change 37 19

Source: Field Survey

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Table 99: Distribution of Muslim families by access to water (Dist – Howrah, N – 200)

Sl. No. Source Yes

No. %

1 Tube well 197 99

2 Sanitary latrine 148 74

3 Drainage facility 39 20

4 Smokeless chullah 3 2

Source: Field Survey

Table 100: Distribution of Muslim Women by association (Dist – Howrah, N – 200)

Sl. No. Association Number % of total

1 Self – help group 15 7.5

2 Gram unnayan samity 7 3.5

3 Anganwadi centre 5 2.5

4 Mother – teache committee NIL NIL

5 Others NIL NIL

6 None 173 86.5

Source: Field Survey

Table 101: Distribution of Muslim Women by membership in self – help group (Dist – Howrah, N – 200)

Sl. No. Membership status Number % of total

1 Savings

a) Up to Rs. 1000 14 93

b) Above Rs. 1000 1 7

2 Credit

a) Up to Rs. 1000 11 73

b) Above Rs. 1000 NIL NIL

3 Participation in social action 5 33

4 Increase in income 11 73

Source: Field Survey

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Table 102: Distribution of Muslim women by awareness of Govt. Programs (Dist – Howrah, N – 200)

Sl. No. Program Yes

No. %

1 Indira Awas Yojana 130 65

2 NREGA 50 25

3 Janani Suraksha Yojana 101 51

4 Widow pension 99 50

5 S.G.S.Y. 180 90

6 Balika samriddhi yojana 16 8

7 None 57 29

Source: Field Survey

Table 103: Distribution of Muslim women by awareness of Gram Sansad (Dist – Howrah, N – 200)

Sl. No. Gram Sansad Yes No

No. % No. %

1 Heard about it 46 23 153 77

Source: Field Survey

Table 104: Distribution of Muslim families by entitlement to public services (Dist – Howrah, N – 200)

Sl. No. Services / Utility Yes No

No. % No. %

1 Ration card 183 92 17 9

2 Voter ID 183 92 17 9

3 Job card 4 2 196 98

4 BPL card 63 32 137 69

5 Health card 152 76 48 24

6 Others 6 3 0 0

Source: Field Survey

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Table 105: Distribution of Muslim women by opinion about elected panchayat representative (Dist – Howrah, N – 200)

Sl. No. Opinion accessible Yes

No. %

1 Attentive 114 57

2 Tries up to ability 96 48

3 Never listens 69 35

4 No work, no power 66 33

Source: Field Survey

Table 106: Distribution of Muslim women by assistance of Govt. employees (Dist – Howrah, N – 200)

Sl. No. Indicator Yes

No. %

1 Not known 77 39

2 Not seen 17 9

3 Empathetic 28 14

4 Tries utmost 28 14

Source: Field Survey

Table 107: Distribution of Muslim women by legal awareness (Dist – Howrah, N – 200)

Sl. No. Nature of law Yes

No. %

1 Sariat 104 52

2 Marriage registration 112 56

3 Domestic violence 94 47

4 Wife bashing 76 38

5 Trafficking 78 39

6 Talaq 80 40

7 Khula 46 23

8 Maintenance 56 28

9 Right to property 68 34

Source: Field Survey

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Table 108: Distribution of Muslim women by activities of Gram Panchayat (Dist – Howrah, N – 200)

Sl. No. Activity Yes

No. %

1 Drinking water 155 78

2 Roads 156 78

3 Electricity 162 81

4 Drainage 13 7

5 Others (State) NIL NIL

Source: Field Survey

Table 109: Distribution of Muslim Women by opinion about Self Help Groups (Dist – Howrah, N – 200) (SHG Members)

Sl. No. SHG’s need Yes No

No. % No. %

1 Assistance of GP 14 93 1 1

2 Training / Skill formation 15 100 1 1

3 Bank Assistance 15 100 0 0

4 Marketing Assistance 15 100 1 1

Source: Field Survey

Table 110: Distribution of Muslim women by mother language (Dist – Murshidabad, N– 295)

Sl. No. Language spoken Respondents % of total

1 Bengali 295 100

Source: Field Survey

Table 111: Distribution of Muslim households by income class (Dist – Murshidabad, N– 295)

Sl. No. Status No. of households % of total

1 High 51 17

2 Middle 123 42

3 Poor 121 41

Source: Field Survey

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Table 112: Distribution of Muslim women by age (Dist – Murshidabad, N – 295)

Sl. No. Age No. of households % of total

1 20 or less 10 3

2 21 – 30 82 28

3 31 – 45 129 44

4 46 – 60 55 19

5 Above 60 19 6

Source: Field Survey

Table 113: Distribution of Muslim women by marital status (Dist – Murshidabad, N – 295)

Sl. No. Marital status No. of respondents % of total

1 Unmarried 1 insignificant

2 Married 265 90

3 Widow 22 7

4 Talaq – pronounced NIL NIL

5 Separated NIL NIL

6 Left behind 2 1

7 Remarried 5 2

Source: Field Survey

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Table 114: Distribution of Muslim families by number of member (Dist – Murshidabad, N – 295)

Sl. No. Marital status No. of respondents % of total

1 Male adult

a) Up to two 187 63

b) More than two 108 37

2 Female

a) Up to two 199 67

b) More than two 96 33

3 Male child

a) Up to two 295 100

b) More than two NIL NIL

4 Female child

a) Up to two 294 100

b) More than two 1 insignificant

Source: Field Survey

Table 115: Distribution of Muslim families by educational status (Dist – Murshidabad, N – 295)

Sl. No. Marital status No. of respondents % of total

1 Literate 138 47

2 Up to primary 47 16

3 Up to upper primary 74 25

4 Madhyamik 29 10

5 Higher Secondary or above 7 2

Source: Field Survey

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Table 116: Distribution of Familiy Members by Educational Status (Dist – Murshidabad, N – 295)

Sl. No.

Educational Status

At Present number

% of total Before 10 years

% of Total

1 Primary

a) Upto 145 49 105 36

b) More than two 42 14 25 8

2 Madhyamik

a) One 142 48 97 33

b) More than two 72 24 16 5

3 Uchha

a) One 28 9 11 4

b) More than two 3 1 NIL NIL

4 Graduate

a) One 20 7 17 6

b) More than two 1 insignificant Insignificant Insignificant

5 Post Graduate

a) One 7 2 4 1

b) More than two 1 Insignificant NIL NIL

Table 117: Distribution of Muslim households by ownership of assets (Dist – Murshidabad, N – 295)

Sl. No. Nature of assets No. of households % of total

1 Land 67 23

2 House 35 12

3 Savings & other assets 137 46

4 No asset 113 38

Source: Field Survey

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Table 118: Distribution of Muslim women by occupation (Dist – Murshidabad, N – 295)

Sl. No. Occupation Number % of total

1 Agriculture 21 7

2 Livestock 117 40

3 House industry 16 5

4 Small business 7 2

5 Service 8 3

6 No employment 150 51

7 Others 12 4

Source: Field Survey

Table 119: Distribution of Muslim Households by Members Engaged in Occupation (Dist – Murshidabad, N – 295)

Sl. No. Educational Status At Present number % of total

1 Agriculture

a) Up to Two 193 65

b) More than two 23 78

2 Livestock

a) Up to Two 115 39

b) More than two 6 2

3 House Industry

a) Upto Two 28 9

b) More than two 1 insignificant

4 Small Business

a) One 56 19

b) More than one 4 13

5 Service

a) One 34 11

b) More than one 1 Insignificant

6 Others

a) One 68 23

b) More than one NIL NIL

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Table 120: Distribution of Muslim Households by Change of status of employment (Dist – Murshidabad, N – 295)

Sl. No. Status of employment Number of family members % of total

1 Members employed 10 years ago 399 135

2 Members employed at present 581 197

Table 121: Distribution of Muslim women by monthly income (Dist – Murshidabad, N – 295)

Sl. No. Income range Number of women % of total

1 Up to Rs. 500 119 40

2 Rs. 501 – Rs. 1000 20 7

3 Rs. 1001 – Rs. 2000 6 2

4 Above Rs. 2000 1 Insignificant

5 No income 149 50

Source: Field Survey

Table 122: Distribution of households by range of family income (Dist – Murshidabad, N – 295)

Sl. No. Range of monthly family income Number of muslim households % of total

1 Up to Rs. 2000 151 51

2 Rs. 2001 – Rs. 5000 101 34

3 Rs. 5001 – Rs. 10000 36 12

4 Rs. 10001 – Rs 20000 5 2

5 Above 20000 2 1

Source: Field Survey

Table 123: Distribution of households by increase in monthly family income (Dist – Murshidabad, N – 295)

Sl. No.

Range of increase in monthly income

Number of muslim households

% of total

1 Up to Rs. 500 99 34

2 Rs. 501 – Rs. 1000 71 24

3 Rs. 1001 – Rs. 2000 22 7

4 More than 2000 15 5

5 No increase 88 30

Source: Field Survey

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Table 124: Distribution of households by status of food security (Dist – Murshidabad, N – 295)

Sl. No. Food security status Yes

No. %

1 Two square meals daily 225 76

2 Take pulses regularly 159 54

3 Eat vegetables regularly 264 89

4 Take protein food regularly 117 40

Source: Field Survey

Table 125: Distribution of women by institution of delivery (Dist – Murshidabad, N – 295)

Sl. No. Institution Number % of total

1 At hospital / health centre 64 22

2 At home 263 89

3 By trained dai 92 31

4 By neighbours 11 4

Source: Field Survey

Table 126: Distribution of women by age at marriage (Dist – Murshidabad, N – 295)

Sl. No. Age at marriage No. of respondents % of total

1 Below 18 years 245 83

2 Above 18 years 50 17

Source: Field Survey

Table 127: Distribution of women by method of family planning (Dist – Murshidabad, N – 295)

Sl. No. Method of family planning No. of respondents % of total

1 Adopted / willing to adopt pmt. Method 98 33

2 Using modern method 32 11

3 No family planning 165 56

Source: Field Survey

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Table 128: Distribution of women by the institution for medical treatment (Dist – Murshidabad, N – 295)

Sl. No. Institution No. of respondents % of total

1 Hospital 253 86

2 Health Centre 123 42

3 Qualified Doctor 149 50

4 Quack / Yunani 14 5

5 Unqualified RMP 187 63

6 Others 3 1

Source: Field Survey

Table 129: Distribution of women by access of health services (Dist – Murshidabad, N – 295)

Sl. No. Health care service during pregnancy No. of respondents % of total

1 Health examination (thrice) 121 41

2 Anti tetanus injection 173 69

3 Iron tablets 123 42

4 Supplementary food 81 27

Source: Field Survey

Table 130: Distribution of women by immunization of children (Dist – Murshidabad, N – 295)

Sl. No. Immunization coverage No. of respondents % of total

1 100% coverage 93 32

2 Not all children 60 20

3 None 45 15

4 Partial coverage 97 33

Source: Field Survey

Table 131: Distribution of women by perception of change in health care measures in the last 10 years (Dist – Murshidabad, N – 295)

Sl. No. Change in health service No. of respondents % of total

1 Increase in public health care 206 70

2 Regular monitoring by health worker 191 65

3 Increase in access to doctor 141 48

4 No change 89 30

Source: Field Survey

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Table 132: Distribution of Muslim families by access to water and sanitation (Dist – Murshidabad, N – 295)

Sl. No. Change in health service Yes

No. %

1 Tube well 290 98

2 Sanitary latrine 145 49

3 Drainage facility 64 22

4 Smokeless chullah 16 5

Source: Field Survey

Table 133: Distribution of Muslim women by association (Dist – Murshidabad, N – 295)

Sl. No. Association No. of respondents % of total

1 Self - Help Group 78 26

2 Gram Unnayan Samity 14 5

3 Anganwadi Centre 20 7

4 Mother – Teacher committee 10 3

5 None 173 insignificant

Source: Field Survey

Table 134: Distribution of Muslim women by Membership of SHG (Dist – Murshidabad, N – 295)

Sl. No. Membership Number % of total

1 Savings

a) Up to Rs. 1000 41 53

b) Above Rs. 1000 37 47

2 Credit

a) Up to Rs. 1000 16 5

b) Above Rs. 1000 31 10

3 Participation in Social Action 26 33

4 Increase in income 52 66

Source: Field Survey

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Table 135: Distribution of Muslim women by awareness of Govt. Program (Dist – Murshidabad, N – 295)

Sl. No. Program Yes

No. %

1 Indira Awas Yojana 139 47

2 NREGA 237 80

3 Janani Suraksha Yojana 158 54

4 Widow pension 123 42

5 S.G.S.Y 222 75

6 Balika smriddhi yojana 26 9

7 Others 11 4

8 None 42 14

Source: Field Survey

Table 136: Distribution of Muslim women by awareness of Gram Sansad (Dist – Murshidabad, N – 295)

Gram Sansad Yes No

No. % No. %

Heard about it 94 32 201 68

Source: Field Survey

Table 137: Distribution of Muslim families by entitlement to public services (Dist – Murshidabad, N – 295)

Sl. No. Service / Utility Yes % No %

1 Ration card 278 94 17 6

2 Voter ID 281 95 14 5

3 Job card 192 65 103 35

4 BPL card 77 26 218 74

5 Health card 190 64 105 36

6 Othesr 4 1 291 99

Source: Field Survey

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Table 138: Distribution of women by opinion about elected Panchayat representative (Dist – Murshidabad, N– 295)

Sl. No. Opinion accessible Yes No

No. % No. %

1 Attentive 143 48 150 51

2 Tries upto ability 132 45 152 52

3 Never listens 93 31 163 55

4 No work, no power 84 28 211 72

Source: Field Survey

Table 139: Distribution of Muslim women by assistance of Govt. employees (Dist – Murshidabad, N – 295)

Sl. No. Indicator Yes

No. %

1 Not known 209 71

2 Not seen 12 4

3 Empathetic 50 20

4 Tries utmost 50 26

Source: Field Survey

Table 140: Distribution of Muslim women by legal awareness (Dist – Murshidabad, N – 295)

Sl. No. Nature of law Yes

No. %

1 Sariat 142 48

2 Marriage registration 134 45

3 Domestic violence 133 45

4 Wife bashing 118 40

5 Trafficking 120 41

6 Talaq 140 47

7 Khula 86 29

8 Maintenance 132 45

9 Right to property 112 38

Source: Field survey

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Table 141: Distribution of Muslim women by activities of GP (Dist – Murshidabad, N – 295)

Sl. No. Activity Yes % No. %

1 Drinking water 171 58 124 42 2 Roads 171 58 121 41 3 Electricity 119 40 173 59 4 Drainage 39 13 254 86 5 Others 1 insignificant 29 10

Source: Field survey

Table 142: Distribution of Muslim women by opinion about SHG (Dist – Murshidabad, N – 295) (SHG Members)

Sl. No. SHG’s need Yes %

1 Assistance of GP 69 88

2 Training / skill formation 69 88

3 Bank assistance 70 90

4 Marketing assistance 56 72

Source: Field survey

Table 143: Distribution of Muslim women by mother language (Dist – Uttar Dinajpur, N – 332)

Sl. No. Language spoken No. of respondents % of total

1 Bengali 327 98

2 Urdu 4 1

3 Hindi 1 insignificant

Source: Field survey

Table 144: Distribution of Muslim households by income class (Dist – Uttar Dinajpur, N – 332)

Sl. No. Status No. of households % of total

1 High 54 16

2 Middle 164 49

3 Poor 114 34

Source: Field survey

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Table 145: Distribution of Muslim women by age (Dist – Uttar Dinajpur, N – 332)

Sl. No. Age No. of respondents % of total

1 20 or less 8 2

2 21 – 30 101 30

3 31 – 45 148 45

4 46 – 60 58 17

5 Above 60 17 5

Source: Field survey

Table 146: Distribution of Muslim women by marital status (Dist – Uttar Dinajpur, N – 332)

Sl. No. Marital status No. of respondents % of total 1 Unmarried NIL NIL 2 Married 299 90 3 Widow 30 9 4 Talaq – pronounced 2 1 5 Separated NIL NIL 6 Left behind NIL NIL 7 Remarried 1 insignificant

Source: Field survey

Table 147: Distribution of Muslim families by number of member (Dist – Uttar Dinajpur, N – 332)

Sl. No. Membership No. of respondents % of total

1 Male adult

a) Upto two 159 48

b) More than two 166 50

2 Female adult

a) Upto two 193 58

b) More than two 139 42

3 Male child

a) Upto two 130 39

b) More than two 7 2

4 Female child

a) Upto two 126 38

b) More than two 6 2

Source: Field survey

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Table 148: Distribution of Muslim women by educational status (Dist – Uttar Dinajpur, N – 332)

Sl. No. Educational status No. of respondents % of total

1 Literate 269 86

2 Up to primary 27 8

3 Up to upper primary 13 4

4 Madhyamik 5 2

5 Higher secondary or above 1 insignificant

Source: Field survey

Table 149: Distribution of family members by educational status (Dist – Uttar Dinajpur, N – 332)

Sl. No.

Educational status

At present number

% of total

Before 10 years

% of total

1 Primary

a) Upto two 134 40 54 16

b) More than two 6 2 8 2

2 Madhyamik

a) One 48 14 20 6

b) More than one 45 14 16 5

3 Uchha Madhyamik

a) One 5 2 1 insignificant

b) More than one 3 1 1 insignificant

4 Graduate

a) One 3 1 NIL NIL

b) More than one 2 1 NIL NIL

5 Post Graduate

a) More than one 4 1 NIL NIL

Source: Field survey

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Table 150: Distribution of Muslim women by ownership of assets (Dist – Uttar Dinajpur, N – 332)

Sl. No. Nature of assets No. of households % of total

1 Land 15 5

2 House 7 2

3 Savings & other assets 59 18

4 No assets 251 75

Source: Field survey

Table 151: Distribution of Muslim women by occupation (Dist – Uttar Dinajpur, N– 332)

Sl. No. Occupation Number % of total

1 Agriculture 12 4

2 Livestock 35 11

3 House industry 10 3

4 Small business 4 1

5 Service 4 1

6 No employment 266 80

7 Others 7 2

Source: Field survey

Table 152: Distribution of Muslim households by change of status of employment (Dist – Uttar Dinajpur, N – 332)

Sl. No. Status of employment Number of family members % of total

1 Members employed 10 years ago 331 100

2 Members employed at present 330 99

Source: Field survey

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Table 153: Distribution of Muslim households by members engaged in occupation (Dist – Uttar Dinajpur, N – 332)

Sl. No. Educational status Number of members % of total

1 Agriculture

a) Up to two 221 66

b) More than two 17 5

2 Livestock

a) Up to two 31 9

b) More than two 1 insignificant

3 House industry

a) Up to two 79 24

b) More than two 11 3

4 Small business

a) One 24 7

b) More than one 1 insignificant

5 Service

a) One 15 5

b) More than one 3 1

6 Others

a) One 9 3

b) More than one 3 1

Source: Field Survey

Table 154: Distribution of Muslim women by monthly income (Dist – Uttar Dinajpur, N – 332)

Sl. No. Income range No. of women % of total

1 Up to Rs. 500 57 17

2 Rs. 501 – Rs. 1000 5 2

3 Rs. 1001 – Rs. 2000 2 1

4 Above Rs. 2000 1 Insignificant

5 No income 267 80

Source: Field Survey

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Table 155: Distribution of households by range of family income (Dist – Uttar Dinajpur, N – 332)

Sl. No. Range of monthly family income No. of muslim households % of total

1 Up to Rs. 2000 153 46

2 Rs. 2001 – Rs. 5000 158 48

3 Rs. 5001 – Rs. 10000 16 5

4 Rs. 10001 – Rs. Rs. 20000 3 1

5 Above Rs. 20000 2 1

Source: Field Survey

Table 156: Distribution of households by increase in monthly family income (Dist – Uttar Dinajpur, N – 332)

Sl. No.

Range of increase in monthly family income

No. of muslim households

% of total

1 Up to Rs. 500 106 32

2 Rs. 501 – Rs. 1000 93 28

3 Rs. 1001 – Rs. 2000 22 7

4 More than Rs. 2000 3 1

5 No increase 108 32

Source: Field Survey

Table 157: Distribution of households by status of food security (Dist – Uttar Dinajpur, N – 332)

Sl. No. Food security status Yes

No. %

1 Two square meals daily 258 78

2 Take pulses regularly 215 65

3 Eat vegetables regularly 209 63

4 Take protein food regularly 111 33

Source: Field Survey

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Table 158: Distribution of women by institution of delivery (Dist – Uttar Dinajpur, N – 332)

Sl. No. Institution Number % of total

1 At hospital / health centre 53 16

2 At home 291 88

3 By trained dai 76 23

4 By neighbours 239 72

Source: Field Survey

Table 159: Distribution of women by age at marriage (Dist – Uttar Dinajpur, N – 332)

Sl. No. Age at marriage Number % of total

1 Below 18 years 282 85

2 Above 18 years 50 15

Source: Field Survey

Table 160: Distribution of women by method of family planning (Dist – Uttar Dinajpur, N – 332)

Sl. No. Method of family planning Number % of total

1 Adopted / willing to adopt pmt. Method 111 33

2 Using modern method 43 13

3 No family planning 178 54

Source: Field Survey

Table 161: Distribution of women by the institution for medical treatment (Dist – Uttar Dinajpur, N – 332)

Sl. No. Institution Number % of total

1 Hospital 207 62

2 Health centre 117 35

3 Qualified doctor 191 58

4 Quack / Yunani 48 14

5 Unqualified RMP 227 68

6 Others 2 1

Source: Field Survey

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Table 162: Distribution of women by access of health services (Dist – Uttar Dinajpur, N – 332)

Sl. No. Health care service during pregnancy Number % of total

1 Health examination (thrice) 97 29

2 Anti – tetanus injection 120 36

3 Iron tablets 81 24

4 Supplementary food 18 5 Source: Field Survey

Table 163: Distribution of Muslim women by immunization of children (Dist – Uttar Dinajpur, N – 332)

Sl. No. Immunization coverage Number % of total

1 100% coverage 84 25

2 Not all children 102 31

3 None 79 24

4 Partial coverage 67 20 Source: Field Survey

Table 164: Distribution of women by perceptions of change in health care measures in the last 10 years (Dist – Uttar Dinajpur, N – 332)

Sl. No. Change in health service Number % of total

1 Increase in public health care 188 57

2 Regular monitoring by health worker 249 75

3 Increase in access to doctor 185 56

4 Other 1 insignificant

5 No change 54 16 Source: Field Survey

Table 165: Distribution of Muslim families by access to water and sanitation (Dist – Uttar Dinajpur, N – 332)

Sl. No. Source Yes

No. %

1 Tube well 323 97

2 Sanitary latrine 36 11

3 Drainage facility 55 17

4 Smokeless Chullah 4 1

Source: Field Survey

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Table 166: Distribution of Muslim women by association (Dist – Uttar Dinajpur, N – 332)

Sl. No. Association Number % of total

1 Self - Help group 58 17

2 Gram Unnayan Samity 11 3

3 Anganwadi Centre 7 2

4 Mother – Teacher committee 6 2

5 None 250 75

Source: Field Survey

Table 167: Distribution of Muslim women by membership in Self – help group (Dist – Uttar Dinajpur, N – 332) (SHG Members)

Sl. No. Membership status Number % of total

1 Savings

a) Up to Rs. 1000 49 84

b) Above Rs. 1000 9 15

2 Credit

a) Up to Rs. 1000 13 22

b) Above Rs. 1000 19 33

3 Participation in social action 17 29

4 Increase in income 51 15

Source: Field Survey

Table 168: Distribution of Muslim women by knowledge of Govt. program (Dist – Uttar Dinajpur, N – 332)

Sl. No. Program Yes

No. %

1 Indira Awas Yojana 153 46

2 NREGA 297 89

3 Janani Suraksha Yojana 180 54

4 Widow pension 110 33

5 S.G.S.Y 219 66

6 Balika samriddhi yojana 35 11

7 Others 3 1

8 None 59 18

Source: Field Survey

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Table 169: Distribution of Muslim women by awareness of Gram Sansad (Dist – Uttar Dinajpur, N – 332)

Program Yes No

No. % No. %

Heard about it 153 46 179 54

Source: Field Survey

Table 170: Distribution of Muslim families by entitlement to public service (Dist – Uttar Dinajpur, N – 332)

Sl. No. Service / Utility Yes No

No. % No. %

1 Ration card 301 91 31 9

2 Voter ID 315 95 17 5

3 Job card 249 75 82 25

4 BPL card 190 57 137 41

5 Health card 160 48 172 52

6 Others 2 1 NIL NIL

Source: Field Survey

Table 171: Distribution of Muslim women by opinion about elected panchayat representative (Dist – Uttar Dinajpur, N – 332)

Sl. No. Opinion accessible Yes

No. %

1 Attentive 217 65

2 Tries up to ability 213 64

3 Never listens 115 35

4 No work, no power 115 35

Source: Field Survey

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Table 172: Distribution of Muslim women by assistance of Govt. employees (Dist – Uttar Dinajpur, N – 332)

Sl. No. Indicator Yes

No. %

1 Not known 96 29

2 Not seen 2 1

3 Empathetic 235 71

4 Tries utmost 232 70

Source: Field Survey

Table 173: Distribution of Muslim women by legal awareness (Dist – Uttar Dinajpur, N – 332)

Sl. No. Nature of law Yes

No. %

1 Sariat 179 54

2 Marriage registration 166 50

3 Domestic violence 142 43

4 Wife bashing 142 43

5 Trafficking 146 44

6 Talaq 226 68

7 Khula 126 38

8 Maintenance 120 36

9 Right to property 116 35

Source: Field Survey

Table 174: Distribution of Muslim women by activities of Gram Panchayat (Dist – Uttar Dinajpur, N – 332)

Sl. No. Activity Yes %

1 Drinking water 191 58

2 Roads 143 43

3 Electricity 133 40

4 Drainage 21 6

5 Others 2 1

Source: Field Survey

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Table 175: Distribution of muslim women by opinion about SHG (Dist – Uttar Dinajpur, N – 332) (SHG Members)

Sl. No. SHGs Need Yes %

1 Assistance of GP 48 83

2 Training / Skill formation 47 81

3 Bank assistance 48 83

4 Marketing assistance 48 83

Source: Field Survey


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