report - Bangladesh Bureau of Statistics
Transcription
report - Bangladesh Bureau of Statistics
Bangladesh Bureau of Statistics Statistics and Informatics Division Ministry of Planning Government of the People’s Republic of Bangladesh ii Foreword Women empowerment and bringing women in the mainstream of development is one of the priority agenda for Bangladesh which is signatory of the “Convention for Elimination of all Sorts of Discrimination Against Women (CEDAW)” and committed to achieve gender equality and equity in every arena of socio-economic activities. The Millennium Development Goals (MDGs) have also emphasized on the equal opportunity for women in every sphere of life. To ensure equal participation of women in economic development process, it is urgently needed to know their current participation status in different sectors of the economy. In order to monitor the progress of women in different sectors, gender disaggregated data is essential for formulating an effective plan in respect of women empowerment. Efforts taken by Bangladesh Bureau of Statistics (BBS) are highly appreciated for compiling “Gender Statistics of Bangladesh-2012” using data from various secondary sources like censuses & surveys of BBS as well as data from concerned source agencies. I hope this will minimize the data gaps and fulfill user specific demands of gender activists. This report has highlighted gender disaggregated data for different socio-economic sectors that will be useful for the policymakers, researchers, development partners and gender activists to develop appropriate programs and policies. I would like to express my sincere thanks to Mr. Golam Mostafa Kamal, Director General, BBS and his colleagues for preparing this report. I acknowledge the contribution of the Technical Committee members for their valuable suggestions and comments for improvement of the report. The Editors Forum of BBS also deserves special recognition as its members have reviewed the report and contributed to its improvement. Suggestions and comments on the report are most welcome as BBS is striving for excellence. Dhaka, June 2013 Md. Nojibur Rahman Secretary Statistics and Informatics Division (SID) Ministry of Planning iii iv Preface Collecting gender-disaggregated data is very essential for assessing changes in the situation of women and men overtime. In this way, gender statistics raises consciousness and provides the impetus for public debate and change. As gender issues move forward in national and global agendas, new demands are created for statistics. Gender disaggregated data are available in various surveys and census reports. However, these data are presented in a sporadic manner spread across many reports making it difficult to use by policymakers and stakeholders. Aggregating and compiling these data into a single report in a time series format would be a big step towards better assisting analysis, policymaking and gender perspective development programs. In light of the users’ demand of gender statistics, Bangladesh Bureau of Statistics has prepared this report on “Gender Statistics of Bangladesh 2012” by using data from different censuses, surveys and administrative reports. It may be mentioned that United Nations Statistical Commission (UNSC) has developed a framework to compile gender statistics and requested the member states to follow the framework. This framework contains 52 indicators of which Bangladesh has been able to compile as many as 43 indicators. Accordingly, this report has been prepared on the basis of national and international demand to highlight the status of women empowerment and their participation in different sectors of the economy. It covers women participation in education, labour force & employment, income generation, resource mobilization, health care, social services, etc. I would like to express my thanks and profound gratitude to the chairman of the technical committee, Dr. Barkat-e- Khuda, along with all other members for their great contribution in preparing the report. Special thanks to Dr. Nazmunnessa Mahtab, Professor of Dhaka University, Ms. Simeen Mahmud of BRAC Development Institute, Dr. Sadananda Mitra, Gender Statistics Adviser, UN WOMEN and Mr Abdullah Harun Pasha, Former Director, Demography & Health Wing for editing and reviewing the draft report and providing valuable suggestions and comments for analytical improvements of the report. I would like to thank Mr. Jafor Ahmed Khan, Director, Demography & Health Wing, Focal Point Officer and Deputy Director, Mr. A.K.M. Tahidul Islam, Mr. S. M. Anwar Husain, Statistical Assistant, BBS & Local Consultant, Late Mr. Hafizur Rahman who were involved in preparation of this report. Mr. Md. Shamsul Alam, Director Industry and Labour Wing also provided technical input in preparing this report. I hope that the report will be useful to the planners, administrators, policy makers, development partners, and women activists to formulate appropriate programs and policies for promoting more equitable access to income, resources and social services for the women. Suggestions and comments for further improvement of the report are most welcome. Golam Mostafa Kamal (Additional Secretary) Director General Bangladesh Bureau of Statistics Dhaka, June, 2013 v vi CONTENTS Foreword ..................................................................................................................................................................................... iii Preface ...................................................................................................................................................................................... v CONTENTS .................................................................................................................................................................................... vii LIST OF TABLES ............................................................................................................................................................................. xi Abbreviations .................................................................................................................................................................................. xvii Executive Summary ......................................................................................................................................................................... xxi Selected Indicators of Gender Statistics by Domain .................................................................................................................. xxiii CHAPTER 1 ...................................................................................................................................................................................... 1 Introduction ...................................................................................................................................................................................... 1 1.1 1.2 1.3 1.4 1.5 Background ........................................................................................................................................................... 1 Objectives .............................................................................................................................................................. 6 Methodology ......................................................................................................................................................... 6 Limitation .............................................................................................................................................................. 6 Organization of the report ..................................................................................................................................... 7 CHAPTER 2 ...................................................................................................................................................................................... 9 Household and Population ................................................................................................................................................................. 9 2.01 2.02 2.03 2.04 2.05 2.06 2.07 2.08 2.09 2.10 2.11 2.12 Population Size ................................................................................................................................................... 9 Population Structure by Broad Age Group ........................................................................................................ 9 Population Distribution by Age Group and Sex............................................................................................... 10 Sex Ratio ........................................................................................................................................................... 12 Household Head by Sex .................................................................................................................................... 12 Household Size by Sex of Household Head..................................................................................................... 13 Average Family Members by Sex and Land Ownership ................................................................................. 13 Earning Status of Household Members ............................................................................................................ 14 Internal Migration ............................................................................................................................................. 15 In and Out Migration Rate ................................................................................................................................ 16 Direction of In-Migration ................................................................................................................................. 16 Reasons for In-Migration and Gender: ............................................................................................................. 17 CHAPTER 3 .................................................................................................................................................................................... 19 Marriage, Fertility and Contraceptive Use .................................................................................................................................... 19 3.01 3.02 3.03 3.04 3.05 3.06 3.07 3.08 3.09 3.10 3.11 3.12 3.13 Mean Age at Marriage ...................................................................................................................................... 19 Early Marriage .................................................................................................................................................. 20 Women Aged 20-24 Married before Age 18 ................................................................................................... 22 Spousal Age Difference .................................................................................................................................... 22 Marital Status .................................................................................................................................................... 25 Total Fertility .................................................................................................................................................... 26 Age-Specific Fertility Rate ............................................................................................................................... 27 Total Marital Fertility Rate ............................................................................................................................... 27 General Fertility Rate........................................................................................................................................ 28 Children Ever Born ........................................................................................................................................... 28 Divorce and Separation Rate ............................................................................................................................ 28 Age-Specific Divorce and Separation Rate ...................................................................................................... 29 Contraceptive Prevalence Rate ......................................................................................................................... 30 CHAPTER 4 .................................................................................................................................................................................... 33 Health and Nutrition ......................................................................................................................................................................... 33 4.01 4.02 4.03 4.04 4.05 4.06 Crude Death Rate .............................................................................................................................................. 33 Age-Specific Death Rate .................................................................................................................................. 33 Neonatal Mortality Rate.................................................................................................................................... 35 Post Neonatal Mortality Rate............................................................................................................................ 35 Infant Mortality Rate......................................................................................................................................... 36 Child Mortality Rate ......................................................................................................................................... 36 vii 4.07 4.08 4.09 4.10 4.11 4.12 4.13 4.14 4.15 4.16 4.17 4.18 4.19 4.20 Under 5 Mortality Rate ..................................................................................................................................... 37 Maternal Mortality Ratio .................................................................................................................................. 37 Causes of Maternal Death ................................................................................................................................. 38 Principal Causes of Death ................................................................................................................................. 38 Percentage Distribution of Death by Causes .................................................................................................... 39 Expectation of Life ........................................................................................................................................... 40 Abridged Life Table .......................................................................................................................................... 41 Infant and Young Child Feeding ...................................................................................................................... 42 Child Nutrition Status ....................................................................................................................................... 43 Low Birth Weight ............................................................................................................................................. 44 Immunization .................................................................................................................................................... 44 Vitamin A Supplement ..................................................................................................................................... 44 Antenatal Care................................................................................................................................................... 45 Delivery Care .................................................................................................................................................... 46 CHAPTER 5 .................................................................................................................................................................................... 47 Morbidity and Health Services ........................................................................................................................................................ 47 5.01 5.02 5.03 5.04 5.05 5.06 5.07 5.08 5.09 5.10 5.11 Population Suffered from Diseases .................................................................................................................. 47 Average Duration of Ailment by Types of Disease ......................................................................................... 47 Method of Treatment ........................................................................................................................................ 48 Childhood Illness and Treatment ...................................................................................................................... 49 Sources of Medicine ......................................................................................................................................... 51 Average Days Required for Consulting Doctor for the First Time after Ailment .......................................... 52 Average Waiting Time...................................................................................................................................... 52 Preference of Health Service Provider ............................................................................................................. 53 Treatment Cost .................................................................................................................................................. 54 Reasons for Non-treatment ............................................................................................................................... 54 Prevalence of Smoking ..................................................................................................................................... 55 CHAPTER 6 .................................................................................................................................................................................... 57 Disability .................................................................................................................................................................................... 57 6.01 6.02 6.03 6.04 6.05 6.06 6.07 6.08 Age Sex Distribution ........................................................................................................................................ 57 Crude Disability ................................................................................................................................................ 57 Age-Specific Disability..................................................................................................................................... 58 Causes of Disability .......................................................................................................................................... 59 Types of Disability ............................................................................................................................................ 59 Economic Participation ..................................................................................................................................... 60 Child Disability ................................................................................................................................................. 60 Child Injury ....................................................................................................................................................... 61 CHAPTER 7 .................................................................................................................................................................................... 63 Economic Participation and Gender ............................................................................................................................................... 63 7.01 7.02 7.03 7.04 7.05 7.06 7.07 7.08 7.09 7.10 7.11 7.12 7.13 7.14 7.15 7.16 Size of Labour Force......................................................................................................................................... 63 Labour Force Growth Rate ............................................................................................................................... 64 Crude Activity Rate .......................................................................................................................................... 65 Refined Activity Rate ....................................................................................................................................... 65 Age-Specific Labour Force Participation Rate ................................................................................................ 66 Working Age Population by Activity Status .................................................................................................... 66 Working Age Population (15+ yrs) by Broad Economic Category ................................................................. 67 Working Age Population Engaged in Household Work .................................................................................. 68 Labour Force by Level of Education ................................................................................................................ 69 Employment by Sector...................................................................................................................................... 70 Employment by Major Occupation .................................................................................................................. 71 Employment by Major Occupation and Residence.......................................................................................... 72 Employed Persons by Employment Status....................................................................................................... 73 Employment by Broad Economic Sector ......................................................................................................... 74 Employed by Main Industries........................................................................................................................... 75 Weekly Hours Worked ..................................................................................................................................... 76 viii 7.17 Growth of Labour Force by Industries ............................................................................................................. 77 7.18 Average Weekly Hours Worked by Employment Status................................................................................. 78 7.19 Average Weekly Hours Worked by Industry ................................................................................................... 79 7.20 Hours Worked by Occupation .......................................................................................................................... 81 7.21 Employment in Garments Industry .................................................................................................................. 82 7.22 Overseas Employment ...................................................................................................................................... 82 7.23 Salaried Employees by Income-Groups ........................................................................................................... 84 7.24 Wage Rate by Sex ............................................................................................................................................. 86 7.25 Day Labourers by Weekly Income ................................................................................................................... 86 7.26 Monthly Variation in Daily Wage Rate ........................................................................................................... 87 7.27 Unemployment Rate by Sex ............................................................................................................................. 88 7.28 Unemployment Rate by Age Group ................................................................................................................. 89 7.29 Unemployment and Underemployment ........................................................................................................... 89 7.30 Child Labour ..................................................................................................................................................... 90 7.31 Persons Engaged by Activity and Average Size of Establishment ................................................................... 90 CHAPTER 8 .................................................................................................................................................................................... 93 Education .................................................................................................................................................................................... 93 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.10 8.11 8.12 8.13 8.14 8.15 8.16 8.17 8.18 8.19 8.20 8.21 Literacy Rate of Population 7 years and over .................................................................................................. 93 Adult Literacy Rate (15 yrs and over) .............................................................................................................. 93 Zila wise Literacy Rate of Population 7+ years ............................................................................................... 94 Gross Enrolment Rate (GER) for Primary School ........................................................................................... 96 Net Enrolment Rate for Primary School .......................................................................................................... 96 Drop-out Rate for Primary School.................................................................................................................... 97 Ratio of Female and Male Teachers in Primary School .................................................................................. 98 Gross Enrolment Rate, Completion Rate and Dropout Rate at the Secondary Level ..................................... 99 Education Gender Parity ................................................................................................................................... 99 Ratio of Women and Men Teachers and Students in Secondary School ...................................................... 101 Performance of Girls Student in the Secondary Level ................................................................................... 101 Number of Teachers and Students of Colleges .............................................................................................. 102 Performance of Girls Student in the HSC Examination ................................................................................ 102 Primary Training Institute (PTI), Teachers and Trainees .............................................................................. 102 Teachers Training College (TTC), Teachers and Students ............................................................................ 103 Physical Education College, Teachers and Students...................................................................................... 103 Teachers and Students of Universities ........................................................................................................... 104 Teachers and Students of Bangladesh University of Engineering & Technology (BUET .......................... 105 Teachers and Students in the Medical College .............................................................................................. 105 Teachers and Students in the Bangabandhu Sheikh Mujib Medical University ........................................... 106 Teachers and Students in the Agricultural University ................................................................................... 106 CHAPTER 9 .................................................................................................................................................................................. 107 Income, Expenditure and Poverty ................................................................................................................................................. 107 9.01 9.02 9.03 9.04 9.05 9.06 9.07 9.08 9.09 9.10 9.11 9.12 Poverty Incidence of Women Headed Household ......................................................................................... 107 Poverty Incidence of Women Headed Household by Main Source of Income ............................................. 107 Poverty Incidence of Women Headed Household by Level of Education .................................................... 108 Household Income by Number of Members and Earners .............................................................................. 108 Intake of Food ................................................................................................................................................. 110 Income and Expenditure of Household .......................................................................................................... 111 Per Capita Income and Expenditure of the Women Headed Household ....................................................... 112 Annual Education Expenditure ....................................................................................................................... 113 Type of Education Expenditure Incurred by Sex and Residence .................................................................. 114 Income and Expenditure of the Households who Received Remittance ....................................................... 114 Access to Credit by the Grameen Bank .......................................................................................................... 115 Micro-Enterprise Loan Delivered by Grameen Bank (GB) ........................................................................... 117 CHAPTER 10 .................................................................................................................................................................................. 119 WOMEN EMPOWERMENT ........................................................................................................................................................ 119 10.01 Electoral Participation................................................................................................................................... 119 ix 10.02 10.03 10.04 10.05 10.06 10.07 10.08 10.09 10.10 10.11 10.12 10.13 Participation of Women in Union Parishad.................................................................................................. 120 Participation of Women in Upazila Parishad ............................................................................................... 120 Participation of Women in Cabinet .............................................................................................................. 122 Women Participation in the Civil Service .................................................................................................... 123 Civil Officers and Staff in the Ministries, Directorates, Autonomous Bodies and Corporations ............... 124 Officers and Staff in Ministry of Home Affairs ........................................................................................... 125 Women Participation in Supreme Court ...................................................................................................... 127 Participation of Women in Dewani (Civil) Court by Division .................................................................... 127 Women Participation in Co-operative Society ............................................................................................. 128 Women Participation in Nursing Profession ................................................................................................ 128 Women Role in Decision-making at the Household Level ......................................................................... 129 Attitude of Men towards Women Freedom of Movement........................................................................... 130 CHAPTER 11 .................................................................................................................................................................................. 133 Violence against Women................................................................................................................................................................. 133 11.01 11.02 11.03 11.04 11.05 Cases of Reported Violence against Women and Children ......................................................................... 133 Cases of Violence against Women and Children by Month ........................................................................ 134 Progress on Anti-trafficking Measures......................................................................................................... 136 Disposal of Cases Relating to Trafficking in Women and Children for Monitoring .................................. 138 Disposal of Cases .......................................................................................................................................... 138 CHAPTER-12 .................................................................................................................................................................................. 139 MDG Indicators and Gender Dimension of SAARC Countries ................................................................................................ 139 12.1 Selected Indicators of MDG ........................................................................................................................... 139 12.02 Differentials of Selected Indicators Among SAARC Countries. ................................................................ 144 REFERENCES ......................................................................................................................................................... 151 Annexure-A .................................................................................................................................................................................. 153 Constitutional Provision on Women Rights ............................................................................................................ 153 Annexure-B .................................................................................................................................................................................. 155 Convention on the Elimination of All forms of Discrimination against Women (CEDAW) ................................ 155 Annexure-C .................................................................................................................................................................................. 169 The Dhaka Declaration for Eliminating Violence against Women in South Asia 2003 ........................................ 169 Annexure-D .................................................................................................................................................................................. 173 Beijing Declaration and the Platform for Action (PEA) ......................................................................................... 173 Appendix-E .................................................................................................................................................................................. 177 TECHNICAL COMMITTEE .................................................................................................................................. 177 x LIST OF TABLES Table 02.01: Census adjusted population (million) distribution by sex 1974-2011 .................................................................. 9 Table 02.02: Percentage distribution of women and men by broad age groups, 1981- 2011 .................................................. 9 Table 02.03: Percentage distribution of population by age group, sex and residence, 1981-2011 ........................................ 10 Table 02.04: Sex ratio by residence, 1981-2011 .......................................................................................................................... 12 Table 02.05: Percentage distribution of households by sex of household heads and residence, 1981-2011 ...................... 12 Table 02.06: Trend in average household size by sex of household heads and residence, 2000-2010 .................................. 13 Table 02.07: Distribution of households by size of land owned and average number of members by sex, 2005-2010 ....... 14 Table 02.08: Percentage distribution of households by sex of head and percentage distribution of earners by sex and residence, 2005 & 2010 ............................................................................................................................................ 14 Table 02.10: In and out migration rate per 1000 population by sex, 1985-2010 ..................................................................... 16 Table 02.11: In-migration rate by sex and direction per 1000 population, 2008-2010 .......................................................... 16 Table 02.12: Percentage distribution of migrants classified by reasons and direction of migration by sex for 2008-2010 17 Table 03.01: Mean age at marriage of women and men by residence, 1985-2010 .................................................................. 19 Table 03.02: Median age and singulate mean age at marriage, 2010 ....................................................................................... 19 Table 03.02.1: Percentage of women aged 15-49 in marriage before their 15th birthday, women aged 20-49 in marriage before their 18th birthday and women aged 15-19 currently married, by division and area, 2006. .............. 20 Table 03.02.2: Percentage distribution of ever married women (15-49 yrs) who married before their 15th and 18th years of ages ........................................................................................................................................................................ 21 Table 03.02.3: Percentage of women aged 15-49 in marriage before their 15th birthday, women aged 20-49 in marriage before their 18th birthday and women aged 15-19 currently married, by educational status, 2006. ............. 21 Table 03.02.4: Percentage of women aged 15-49 in marriage before their 15th birthday, women aged 20-49 in marriage before their 18th birthday and women aged 15-19 currently married, by wealth index, 2006. ....................... 22 Table 03.03: Proportion of women 20-24 years old who were married before age 18 for the year 2006 and 2011 ............ 22 Table 03.04.1: Percentage distribution of currently married women aged 15-19 according to the age difference with their husbands by division, 2006 ...................................................................................................................................... 23 Table 03.04.2: Percentage distribution of currently married women aged 15-19 according to the age difference with their husbands by area, 2006 ........................................................................................................................................... 23 Table 03.04.3: Percentage distribution of currently married women aged 15-19 according to age difference with their husbands by area, 2006 ........................................................................................................................................... 23 Table 03.04.4: Percentage distribution of currently married women aged 20-24 according to age difference with their husbands by division, Bangladesh, 2006................................................................................................................ 24 Table 03.04.4: Percentage distribution of currently married women aged 20-24 according to age difference with their husbands by area, 2006 ........................................................................................................................................... 24 Table 03.04.4: Percentage distribution of currently married women aged 20-24 according to age difference with their husbands by education of women and girls, 2006 ................................................................................................ 25 Table 03.05: Marital status of population aged 10 years and above by sex, 1981-2011 ......................................................... 25 Table 03.06: Total fertility rate (TFR) per women by residence, 1985-2010 .......................................................................... 26 Table 03.07: Age-specific fertility rates (ASFR) per 1000 women, 2002-2010 ........................................................................ 27 Table 03.08: Total marital fertility rate by residence, 1991-2010............................................................................................. 27 Table 03.09: General fertility rate by residence, 1985-2010 ...................................................................................................... 28 Table 03.10: Trend in mean number of children ever born by age group, 2000, 2004, 2007 & 2011. ................................. 28 Table 03.11.1: Crude divorce rate per 1000 population by sex and residence, 2002-2010 ...................................................... 29 Table 03.11.2: Crude separation rate per 1000 population by sex and residence, 2002-10 ..................................................... 29 Table 03.12.1: Age-specific divorce rate by age- group and sex, 2005-2010 .............................................................................. 29 Table 03.12.2: Age-specific separation rate by age group and sex, 2005-2010.......................................................................... 30 Table 03.13.1: Trends in contraceptive use by year and residence, 1990-2010 (current user) ............................................... 30 Table 03.13.2: Age specific contraceptive use , 2005-2010 (current user) ................................................................................. 30 Table 03.13.4: Contraceptive prevalence rate by methods and residence, 2008–2010............................................................. 31 Table 04.01: Crude death rate per 1000 population by sex and residence, 1981-2010 .......................................................... 33 xi Age-specific death rate per 1000 population by sex and residence, 2008 & 2010 ............................................ 33 Neonatal mortality rate per 1000 live births by sex and locality for 1981-2010 ............................................... 35 Post neonatal mortality rate per 1000 live births by sex and residence, 1981-2010 .......................................... 35 Infant (<1 year) mortality rate per 1000 live births by sex and residence, 1981-2010..................................... 36 Child mortality rate (1-4 years) by sex and residence, 1981-2010...................................................................... 36 Under 5 mortality rate per 1000 live births by sex and residence, 1982-2010 .................................................. 37 Maternal mortality ratio by residence, 1986-2010 ............................................................................................... 37 Distribution of causes of maternal mortality by residence, 2009 and 2010....................................................... 38 Principal causes of death per 100,000 populations by sex and residence, 2004- 2010 ..................................... 38 Percentage distribution of death of causes by sex and residence, 2010 ............................................................. 40 Expectation of life at birth by sex and residence, 1981-2010 .............................................................................. 41 Abridged life table for Bangladesh population by sex, 2010 ............................................................................... 42 Percentage of breast-feeding of infant and young children by residence, 2006................................................ 42 Prevalence of malnutrition (WHO 2005 GRS) in children aged <5 years by sex and area of residence, 2000-12....................................................................................................................................................................... 43 Table 4.16: Prevalence of low birth weight by sex and residence, 2003-2004 ......................................................................... 44 Table 04.17: Percentage of children aged 12-23 months immunized against BCG, DPT3, Polio3 and Measles by sex, 1995, 2006 and 2011 ................................................................................................................................................. 44 Table 04.18: Percentage distribution of children received high doses of vitamin A supplement in the last 6 months by sex and residence, 2006 ............................................................................................................................................ 45 Table 04.19: Percentage distribution of mothers aged 15-49 who gave birth in the three years preceding the survey by receiving antenatal care, 2004, 2007 and 2011. ..................................................................................................... 45 Table 04.20: Percentage distribution of women aged 15-49 with a birth in the two years preceding the survey by type of personnel assisting during delivery and their place of delivery, 2006,2007, 2009 and 2011. .......................... 46 Table 05.01: Distribution of population suffered during last 12 months from chronic diseases by sex and residence, 2000& 2010 ............................................................................................................................................................... 47 Table 05.02: Average duration of ailment by sex, residence and type of diseases suffered in the last 12 months, 2005 and 2010 ............................................................................................................................................................................ 48 Table 05.03: Percent of treatment recipient by sex, residence and type of treatment, 2005 and 2010................................. 49 Table 05.04.1: Prevalence of children aged 0-59 months with pneumonia and treatment taken from a health care provider, 2006 ........................................................................................................................................................... 49 Table 05.04.2:Prevalence of children <5 years with fever and ARI for whom treatment sought from a health facility or medically trained provider by age, sex and residence, 2004 and 2007 .............................................................. 50 Table 05.04.3: Percentage of children <5 years with diarrhea who were given oral re-hydration therapy (ORT) by sex and residence, 2007 and 2011 ................................................................................................................................. 51 Table 05.05: Distribution of patients by their sources of getting medicine,2000, 2005 and 2010 ......................................... 51 Table 05.06: Average days required consulting doctor for the first time after ailment by sex and residence, 2000, 2005 and 2010 .................................................................................................................................................................... 52 Table 05.07: Average waiting time (minutes) for getting the service / treatment personnel by patients, sex and residence, 2000, 2005 and 2010 ................................................................................................................................................. 53 Table 05.08: Patients preference of service/treatment by reasons, sex and residence, 2000, 2005 and 2010 ...................... 53 Table 05.09: Average medical expenditure per patient (Tk) in the preceding 30 days by sex and residence, 2000, 2005 and 2010 .................................................................................................................................................................... 54 Table 05.10: Reasons for non-treatment in the ailment suffered preceding 30 days by sex 2000, 2005 and 2010. ............. 54 Table 05.11.1: Smoking rates by sex and residence, 1995 and 2009 ........................................................................................... 55 Table 05.11.2: Percentage of adults 15 years and above by smoking status, residence & sex, 2009 ...................................... 55 Table 05.11.3: Percentage of adults 15 years and above by use of smokeless tobacco, by sex, residence, 2009 .................... 56 Table 6.01.1: Age-sex distribution of disabled persons ................................................................................................................ 57 Table 06.02.1: Crude disability rate per1000 population by sex and residence, 1991, 2004 and 2011 ................................... 58 Table 06.03:1: Age-specific disability rate per 1000 population by sex, 1991, 2004 and 2011 ................................................ 58 Table 06.04.1: Percentage distribution of disability by causes and sex, 2002-2010 ................................................................. 59 Table 06.05.1: Proportion of disability (%) by type and sex in 2002-2010 ................................................................................. 59 Table 04.02: Table 04.03: Table 04.04: Table 04.05: Table 04.06: Table 04.07: Table 04.08: Table 04.09: Table 04.10: Table 04.11: Table 04.12: Table 04.13: Table 04.14: Table 04.15: xii Table 06.06.1: Crude activity rate of all population and disabled population, 1991, 2004 and 2011 ..................................... 60 Table 6.06.2: Refined activity rate of disabled and all population by sex, 1991, 2004 and 2011............................................. 60 Table 06.07.1: Percentage of children aged 2-9 years with disability by types, sex and residence, 2006 ............................... 61 Table 6.08.1: Percentage of children <18 years by types of injury by sex and residence, 2006 .............................................. 61 Table 07.01: Labour force aged 15 years and over by sex and residence, 1995-2010 ............................................................ 63 Table 07.02: Annual average labour force growth rate by sex and residence, 2002-03 and 2005-06 to 2010 ..................... 64 Table 07.03: Crude activity rates by sex and residence, 2005-06 and 2010 ............................................................................. 65 Table 07.04: Refined activity rate by sex and residence, 2005-06 and 2010 ............................................................................ 65 Table 07.05: Trends in age-specific labour force participation rate by sex, 2000-2010 ......................................................... 66 Table 07.06: Working age population 15 years and over by activity status, sex and residence,2002-03 ............................. 67 Table 07.07: Working age population by broad economic category by sex and residence, 2005-2006 and 2010 ............... 67 Table 07.08: Working age population 15 years and over engaged in household work by sex and residence, 2002-03, 2005-06 and 2010 ...................................................................................................................................................... 68 Table 07.09: Labour force participation aged 15 years and over by level of education, sex and residence, 2000-03, 200506 and 2010 ............................................................................................................................................................... 69 Table 07.10: Employed persons 15 years and over by sector of employment, sex and residence, 2005-06 and 2010........ 70 Table 07.10.1: Employed population aged 15 years and over by sex and residence, 1999-2010 ............................................. 71 Table 07.11: Distribution of employed women 15 years and over by major occupation 1991-2010 .................................... 71 Table 07.12: Employed persons 15 years and over by occupation, sex and residence, 2002-03, 2005-06 and 2010 ......... 72 Table 07.13: Distribution of employed person 15 years and over by employment status, sex and residence, 2005-06 and 2010 ............................................................................................................................................................................ 73 Table 07.14: Employed person 15 years and over by sex and economic sectors, 2005-06 and 2010 .................................... 74 Table 07.15: Distribution of employed persons 15 years and over by major industries by sex and residence, 2005-06 and 2010 ............................................................................................................................................................................ 75 Table 07.16: Percentage distribution of employed persons by weekly hours worked by sex and residence, 2005-2006 and 2010 .................................................................................................................................................................... 77 Table 07.17: Average annual growth rate by industries and sex, 2005-2006 & 2010 .............................................................. 77 Table 07.18: Average weekly hours worked of employed persons 15 years and over by status, sex and residence, 20052006 and 2010 ........................................................................................................................................................... 78 Table 07.19: Average weekly hours worked by industry, gender and residence, 2005-06 & 2010 ....................................... 80 Table 07.20: Employed persons 15 years and over by average weekly hours worked by occupation, sex & residence, 2005-2006 and 2010. ................................................................................................................................................. 81 Table 07.21: Employment in garments industry by gender, 2001-2010 ................................................................................... 82 Table 07.22: Overseas employment by sex and zila (district), 2008-2011 ............................................................................... 83 Table 07.23: Percent distribution of salaried workers by monthly income by sex and residence, 2002-2003 ,2005-06, 2010 ............................................................................................................................................................................ 85 Table 07.24: Average wage rate (Taka) of day labourers (15 years and above) by gender and residence, 1999-2000, 2002-03 and 2010 ...................................................................................................................................................... 86 Table 07.25: Percentage distribution of day labour by weekly income and sex, 2005-06 and 2010 ...................................... 86 Table 07.26: Average daily wage rate of agriculture labour by sex. 2008-11 ........................................................................... 87 Table 07.27: Unemployment rate of population (15+) by sex and residence, 2002-03, 2005-06 and 2010 ........................... 88 Table 07.28: Percentage of unemployment rates by age groups, sex and residence, 2005-06 and 2010. ............................. 89 Table 07.29: Unemployed persons and underemployment rates of population aged 15 years and over by sex and residence, 2002-2003 and 2005-06 .......................................................................................................................... 90 Table 07.30: Child labourer and economic activities by girls and boys, 1988, 2005-06 ......................................................... 90 Table 07.31: Total establishments and persons engaged by sex, activity and establishment size ......................................... 91 Table 07.32.1: Average daily wage rate & monthly earnings of non-farm workers by industry, 2009-10. ........................... 91 Table 07.32.2: Average daily wage rate & monthly income of non-farm workers in some specific services by occupation, 2009-10....................................................................................................................................................................... 92 Table 08.01: Literacy rate of population 7 years and over by sex and residence, 1961-2011................................................. 93 Table 08.02: Adult literacy rate of population aged 15+ by sex, 2081– 2011 .......................................................................... 94 Table 08.03: Literacy rate of population (7 years and above) by zila and sex 1991-2011....................................................... 94 xiii Table 08.04: Gross enrolment rate for primary school by sex and residence, 2002-2010 ..................................................... 96 Table 08.05: Net enrolment rate for primary school by sex and residence , 2002-2010 ........................................................ 96 Table 08.06.1: Dropout rate for primary school cycle by sex and residence 2002-2010 .......................................................... 97 Table 08.06.2: Gross and net enrolment rate by sex in secondary school, 2010 ....................................................................... 97 Table 08.06.3: Secondary cycle completion rate, dropout rate and coefficient of efficiency by sex in secondary school, 2010 ............................................................................................................................................................................ 97 Table 08.06.4: Gross and net enrolment rate in college (11 and 12 class) , 2010 ...................................................................... 97 Table 08.06.5: Dropout and completion rate in college (XI-XII) ................................................................................................ 98 Table 08.06.6: Number of college, teacher and enrolment by type, 2010 .................................................................................. 98 Table 08.07: Number of teachers in primary schools by sex and percent of women, 2000-2010 .......................................... 98 Table 08.08: Gross enrolment rate, completion rate and dropout rate at secondary level,2002-2010 ................................. 99 Table 08.09: Ratio of girls to boys attending primary and secondary education by district, 2009 ...................................... 99 Table 08.10: Number of teachers and students by sex in secondary school and their ratio, 2001-2010 ........................... 101 Table 08.11.1: Performance of girls student in the SSC examination, 2004-2010 .................................................................. 101 Table 08.11.2: Performance of girls student in SSC (vocational) examination, 2004-2010 ................................................... 101 Table 08.12: Number of teachers and students of college by type & sex, 2005,2009 and 2010. ......................................... 102 Table 08.13: Performance of girls student in the HSC examination, 2004-2010 .................................................................. 102 Table 08.14: Number of PTI, teachers, and trainees by sex, 2004-2010 ................................................................................ 103 Table 08.15: Number of TTC, teachers and students by sex, 2004-2010 .............................................................................. 103 Table 08.16: Number of Physical Education College, teachers and students by sex, 2004-2010 ....................................... 104 Table 08.17: Number of teachers and students by type of universities and sex, 2004-2009 ................................................ 104 Table 08.18: Number of teacher and students in the Bangladesh University of Engineering & Technology by sex, 20002010 .......................................................................................................................................................................... 105 Table 08.19: Number of teachers and students in the medical college by sex, 2004-2009 .................................................... 105 Table 08.20: Number of teachers and students in the BSMMU by sex, 2006-2010 .............................................................. 106 Table 08.21: Number of teachers and students in the Agricultural University by sex, 2001-2010 ..................................... 106 Table 9.01: Incidence of poverty by sex of head of household, 2000, 2005 and 2010 ........................................................... 107 Table 09.02: Incidence of poverty by occupation of head of households, 2010 ..................................................................... 108 Table 09.03: Incidence of poverty by level of education of head of households, 2010.......................................................... 108 Table 09.04.1: Average number of members and earners and monthly income per household by sex, 2005 and 2010 ... 109 Table 09.04.2: Average number of members and earners per household, average monthly income per household by sex and residence, 2010 ................................................................................................................................................ 110 Table 09.04.3: Average monthly household income by head of household by sex, 2010 ......................................................... 110 Table 09.05: Average per capita per day food intake (grams), 2010 ....................................................................................... 110 Table 09.06: Average monthly income of women and men headed households by monthly per capita income groups, 2005 and 2010 ......................................................................................................................................................... 111 Table 09.07: Monthly per capita income and expenditure of the women headed household by residence, 1999,2004 and 2010 .......................................................................................................................................................................... 113 Table 09.08: Per household and per capita annual expenditure on education by sex and residence, 2005 and 2010 ...... 113 Table 09.09: Percentage distribution of monthly educational expenditure by types of expenditure, sex and residence, 2005 and 2010 ......................................................................................................................................................... 114 Table 09.10.1: Average household income by sex of the head of households received remittance, 2010 ............................. 114 Table 09.10.2: Per capita income by sex of head of household whose sources of income from remittance, 2010 .............. 115 Table 09.10.3: Per capita expenditure by sex of head of household whose sources of income from remittance, 2010 ..... 115 Table 09.11:1 Disbursement of loans listed under broad categories of business activities by sex, 2007 – 2010 ......... 116 Table 09.11.2 Proportion with access to credit by sex and residence, 2010 ............................................................................ 117 Table 09.12: Disbursement of micro-enterprise loans under categories of activities by sex, 2007 – 2010 ......................... 117 Table 10.01: Population Participation in National Assembly, 1973-2011 .............................................................................. 120 Table 10.02: Women and men participation in Union Parishad, 2008 .................................................................................. 120 Table 10.03: Women and men participation in Upazila Parishad, 2009 and 2010 ............................................................... 120 Table 10.03.1: Elected women and men in Union Parishad and Upazila Parishad, 2011-12 ............................................... 121 xiv Table 10.04: Women and men participation in the ministerial level, 1972-2011 .................................................................. 123 Table 10.05.1: Officers in the ministry by sex and by category-2006, 2008 and 2010 ............................................................ 123 Table 10.05.2: Employees of different ministries, directorates and corporations by sex, 2009 and 2010 ............................. 124 Table 10.06: Number of women and men civil officers and staff in the ministries, directorates, autonomous bodies and corporations, 2006 and 2010 ................................................................................................................................. 124 Table 10.07: Officers and staff in ministry of home affairs by sex and categories, 2008-2010 ........................................... 125 Table 10.07.1: Officers and staff in ministry of defense by sex and categories, 2008-2010 ................................................... 126 Table 10.07.2: Employees in police force by sex and categories, 2008-2010 ............................................................................ 126 Table 10.08: Lawyers ( in Supreme Court) by sex, 2008 ......................................................................................................... 127 Table 10.09: Lawyers in civil court by sex and by division, 2008-09...................................................................................... 127 Table 10.10: Number of members in the cooperative society by sex and division, 2006- 2010 ........................................... 128 Table 10.11: Number of women and men officers and staff in the nursing profession, 2008-2009 ..................................... 129 Table 10.12: Women participation in specific household decision-making by type and residence,2005 ........................... 129 Table 10.13: Women’s freedom of movement by background characteristics, 2004 ............................................................ 130 Table 10.13.1: Percent distribution of currently married women age 15-49 by freedom of movement to go to a hospital or health center, according to background characteristics, 2007 ..................................................................... 131 Table 11.01: Cases of reported violence against women and children by categories 2002- 2011......................................... 133 Table 11.02: Number of reported cases of violence against women and children by month during 2005-2010 ............... 134 Table 11.03: Progress report on anti-trafficking measures specially trafficking in women and children from 15 June 2004 to 15 March 2007........................................................................................................................................... 136 Table 11.04: Disposal of cases relating to trafficking in women and children, 2006-2007 ................................................... 138 Table 11.05: Disposal of cases for five years (2001-2005) ......................................................................................................... 138 Table 12.01: Selected MDG and PRS indicators disaggregated by sex. ................................................................................. 140 Table 12.02.01:Estimated population among SAARC countries, 2011 ..................................................................................... 144 Table 12.02.02:Composition of population among SAARC countries, 2011 ............................................................................ 144 Table 12.02.03: Differentials in expectation of life at birth (ex0) among SAARC countries, 2007 and 2011 ....................... 145 Table 12.02.04: Legal age and singulate mean age at marriage among SAARC countries .................................................... 145 Table 12.02.05: Differentials in adults (15+) and youth (15-24 years) literacy rate among SAARC countries 2009 ......... 145 Table 12.02.06: Differentials in estimated earned income in U$ by gender among SAARC countries, 2007 ...................... 146 Table 12.02.07: Maternal mortality ratio, infant and under 5 mortality rate among SAARC countries, 2008................. 146 Table 12.02.08: Contraceptive prevalence rate of currently married women (15-49 years ................................................... 146 Table 12.02.09: Adolescent fertility and total fertility rate, 2010 .............................................................................................. 147 Table 12.02.10: Net enrolment ratio in primary education 2009-10 ........................................................................................ 147 Table 12.02.11: Net enrolment ratio in secondary education ..................................................................................................... 147 Table 12.02.12: Net enrolment ratio in tertiary education ......................................................................................................... 148 Table 12.02.13: Percentage of female teacher in primary, secondary and tertiary education ............................................... 148 Table 12.02.14: Adult economic activity rates and percentage of women in adult labour force, 2010 ................................. 148 Table 12.02.15: Distribution of labour force by status in employment ..................................................................................... 149 Table 12.02.16: Unemployment rate of adult population aged 15+........................................................................................... 149 Table 12.02.17: Women in parliament .......................................................................................................................................... 149 xv xvi Abbreviations ARI ASDR ASFR BANBEIS BAZ BBS BCG BDHS BGMEA BMET BMI BRAC BUET CBN CBR CDC CDR CED CLF CMNS CEDAW CMR CMNS CNS CPR CPS CRC DFID DPT EBR EPI EPR FWA FWV GB GER GFR GPI GRS HA HAZWHO Acute Respiratory Infection Age-specific Death Rate Age-specific Fertility Rate Bangladesh Bureau of Educational Information and Statistics BMI-for-age z-score Bangladesh Bureau of Statistics Bacillus Calmette-Guerin Bangladesh Demographic and Health Survey Bangladesh Garment Manufactures and Exporters Association Bangladesh Manpower Employment and Training Body Mass Index Bangladesh Rural Advancement Committee Bangladesh University of Engineering & Technology Cost of Basic Needs Crude Birth Rate Center for Disease Control Crude Death Rate Chronic Energy Deficiency Child Labour Force Child and Mother Nutrition Survey Convention on Elimination of all forms of Discrimination Against Women Child Mortality Rate Child and Mother Nutrition Survey Child Nutrition Survey Contraceptive Prevalence Rate Contraceptive Prevalence Survey Convention on the Rights of the Child Department for International Development Diphtheria, Pertusis, Tetanus Exclusive Breastfeeding Rate Expanded Program on Immunization Economic Participation Rate Family Welfare Assistant Family Welfare Visitor Grameen Bank Gross Enrolment Rate General Fertility Rate Gender Parity Index Growth Reference Standard Health Assistant Height-for-Age z-score determined using WHO 2005 GRS xvii HAZNCHS HIES HH HKI HNPSP ICPD INFS IMPS IMR IYCF LBW LFS LG MA MAM MDGs MICS MMR MOHFW MOWCA MUAC MUACZ MSCW NAR NCHS NGO NID NMR NNP NPA NPNL NVAC OPV ORS ORT PCA PCU PRS PSU PTI RAB SAARC SBA Height-for-Age z-score determined using NCHS 1977 GRS Household Income and Expenditure Survey Households Helen Keller International Health, Nutrition and Population Sector Program International Conference on Population and Development Institute of Nutrition and Food Science Integrated Multipurpose Sampling Frame Infant Mortality Rate Infant and Young Child Feeding Low Birth Weight Labour Force Survey Laban Gur (Mollases + Salt Solution) Medical Assistant Mean Age at Marriage Millennium Development Goals Multiple Indicator Cluster Survey Maternal Mortality Rate Ministry of Health and Family Welfare Ministry of Women and Children Affairs Mid-Upper Arm Circumference MUAC-for-age z-score Monitoring the Situation of Children and Women Net Attendance Ratio National Center for Health Statistics Non-government Organization National Immunization Day Neonatal Mortality Rate National Nutrition Program National Plan of Action Non- Pregnant and Non-Lactating Women National Vitamin A Campaign Oval Polio Vaccine Oral Re-hydration Solution Oral Re-hydration Therapy Principal Components Analysis Passport Checking Unit Poverty Reduction Strategy Primary Sampling Unit Primary Training Institute Rapid Action Battalion South Asian Association for Regional Cooperation Skilled Birth Attendant xviii SVRS TFR TBA TMFR TTC UGC UN UNICEF UNDP UNSD VAW WAZWHO WAZNCHS WHO WHZWHO WHZNCHS WID Sample Vital Registration System Total Fertility Rate Traditional Birth Attendant Total Marital Fertility Rate Teachers Training College University Grant Commission United Nations United Nations Children Emergency Fund United Nations Development Program United Nations Statistics Division Violence Against Women Weight-for-Age z-score determined using WHO 2005 GRS Weight-for-Age z-score determined using NCHS 1977 GRS World Health Organization Weight-for-Height z-score determined using WHO 2005 GRS Weight-for-Height z-score determined using NCHS 1977 GR Women in Development xix xx Executive Summary Around 50% of total populations of Bangladesh are women. In the household level the proportion of women head is only 15.6% and average size of women headed household is 3.53 as against 4.52 for men. Percent of earners among women household members increased from 12.9 in 2005 to 15.0 in 2010. Marriage is a very popular social event in the context of Bangladesh where early marriage is gradually decreasing as an impact of enactment of laws, uplifting of women education, participation of women in socio-economic activities and technological innovation. Mean age at marriage is 18.7 years for women as against 23.9 year for men. It may be noted that, the percentage of widowed/divorced is much higher among women (8.0%) compared to men (0.6%). The total fertility rate has reduced significantly over the years where it stood at 2.12 per ever-married women in 2010. The marital fertility rate is 3.33 and general fertility rate per 1000 women of childbearing age is 71. The average number of children ever born for women of reproductive age (15-49) stands at 2.2. The use of contraceptive rate is 56.75%. The crude death rate for women stood at 5.0 per 1000 population as against 6.2 per 1000 population for male in 2010. The infant mortality for girls was 35 per 1000 live births as against 38 for boys per 1000 live births. The maternal mortality per 1000 live births stands at 2.16. The expectation of life for women was 68.8 year compared to 66.6 for men in 2010. Exclusive breast-feeding was 51.5% for girls 0-3 months as against 48.0% for boys. Wasting was 13.4% for both boys and girls of age less than 5 years and stunting was 42.0% for girls as against 40.5% for boys. Low birth weight (<2500 gram) was 37.9% among girls compared to 33.3% among boys. Immunization against measles for girls (aged 12-23 months) was 86.8% as against 88.3% for boys. Such rate in case of BCG was 97.6% for girls as against 98.1% for boys. Percentage of children aged 6-59 months receiving vitamin-A supplementation in the 6 months were 59.5% for girls as against 59% for boys. Antennal care was received by 54.87% women who gave birth in the preceding 3 years and 31.3% received assistance at delivery from medical doctor. Gastric ulcer was the most common chronic ailment for women and men. As high as 24.23% women and 23.77% men suffered from this disease in 2010. The treatment in the health ailment has been mainly received from compounder/pharmacy and private doctor. The corresponding percentages were 39.2% and 24.54% for women compared to 41.35% and 24.37% for men. The preferred service for treatment is accounted on the basis of distance and quality of treatment available for both women and men. Per patient health cost was TK.465 for women and TK. 407 for men (TK. 396) in 2010. The prevalence of disability per 1000 was estimated at 13 for women and at 15.2 for men. The common type of disability was deaf and dumb, mental disorder, cripple etc. and the variation between women and men was not significant. Generally child injury (<18 years) was high among boys (4.65%) compared to girls (2.04%). Women’s participation in labour force is still low where out of 56.7 million labour force only 17.2 million (35.98%) are women. However, women’s growth rate in labour force is much higher than men. It was 8.7% for women as against 1.4% for men in 2010. At aggregate level, women labour force in informal sector was 92.3% and in formal sector it was 7.7%. On the other hand, informal and formal sector labour force participation for men were 85.5% and 14.5% respectively. Almost the same pattern was observed in urban and rural areas. In 2010, 64.84% women were found to be engaged in agriculture sector, followed by 35.2% in non-agriculture, 21.9% in service sector, 11.8% in manufacturing sectors and rest were engaged in other industries. Average weekly hours spent on paid/unpaid work for employed person aged 15 years and above is 35 for females against 51 for males. It is praiseworthy that 2.88 million (80%) of the total manpower of 3.6 million are employed in the BGMEA member garment factories. It is frustrating that daily women’s average wage rate, as percentage of men’s is 69% xxi The literacy rate 7 years and over was observed 49.4% for women as against 54.1% for men. The net enrolment rate in primary education for girls is 87.8% compared to 85.6% for boys. On the other hand dropout rate for girls are less (12.2%) than boys (14.4%). The ratio of women teacher in primary school is increasing day by day. It was 33.9 in 2000 and increased to 49.4 in 2010. The gross enrolment in secondary school (grade 6-10) is higher among girls than boys. It was 63.22% for girls as against 51.19% for boys. Gross enrolment in tertiary education is lower among women than men. It was 4.4% for women as against 13.3% for men. Gender parity index in primary, secondary and tertiary level enrolment are 1.02, 1.14 and 0.33 respectively. Interestingly, the poverty incidence of women headed household is much lower than men headed household, 26.6% for women versus 32.1% for men headed. This result is highly influenced by male members living abroad making the women the head of household. If we exclude such cases the results would have been opposite. On the other hand, the average monthly income of women headed household was TK 9,725 as against TK.11,763 for men headed household. It is observed that of the total education expenditure per household, 46.6% is incurred for women as against 53.5% for men. The participation of women in public office from national parliament to union council has increased over time. The percentage of women employment in public sector has also increased. Violence against women is increasing over the year though the occurrence of acid throwing is decreasing to some extent over the years. xxii Selected Indicators of Gender Statistics by Domain A set of 52 indicators on Gender Statistics recommended by UN Statistical Commission (UNSC) have been presented in the table below. Due to unavailability of data, it has been possible to incorporate only 43 out of 52 indicators. Sl.No Indicator Gender Year Findings Source I. Economic structures, participation in productive activities and access to resources 1 Average weekly hours spent on unpaid - - - Data not available domestic work 2 Average weekly hours spent of employed Women persons age 15 years and over for paid and Men 2010 35 LFS,BBS 51 unpaid work combined 3 Labour force participation rates for 15-24 Women years age group Men Labour force participation rates for 15+ Women 2010 5 6 Women account workers Men Percentage of employed who are working as Women Men Proportion of employed who are employer Women 2010 2010 Percentage of firms owned by women 9 10 25.1% 56.3% Women population (informal) Men Women population(formal) Men 2010 0.07% 2010 - Women Men Youth(15-29) unemployment rate Women 2010 14.6% 2010 LFS,BBS LFS,BBS 32.5% LFS,BBS 51.2% 2010 8.5% Men Proportion of (adult) population who own - 92.3% 7.7% Informal employment as a percentage of 12 LFS,BBS 85.5% total non-agricultural employment Proportion with access to micro credit LFS,BBS 0.20% ii) Percentage distribution of the employed 11 LFS,BBS 7.1% Men i) Percentage distribution of the employed LFS,BBS 47.5% contributing family workers 8 36% 82.5% Percentage of employed who are own- 7 LFS,BBS 60.5% 2010 Men 4 35.4% LFS,BBS 6.8% Women 2010 61.6 Men HIES,BBS 38.4 - - - - land 13 i) Gender gap in wages (with food). It is 2010 69% women's average wages as percentage of Wage Rate Survey, BBS men's ii) Gender gap in wages (without food) 14 Percentage of employed persons working Women part-time(<15 hours / week) Men xxiii 2010 67% 2010 25.8% 2.6% LFS,BBS Sl.No Indicator Gender Year Findings Source 15 Employment rate of persons aged 25-49 with - - - Data not available - - - - a child under age 3 living in a household and with no children living in the household 16 Proportion of children under age 3 in formal care 17 18 Percentage of the population 15+ who are Women Internet users Men Proportion of the population who are mobile Women cellular telephone users (Based on Men 2010 0.97% Literacy Survey, BBS 2.0% 2010 7.5 Robi 92.5 registration) 19 Percent of household access to Radio Women 2010 Men Television Women 31.3% Literacy Survey, BBS 35.6% 2010 Men 56.1% 62.0% II. Education 20 21 Literacy rate of persons aged 15-24 years Women old Men Adjusted net enrolment rate in primary Girls education Boys Drop out rate by sex at primary school cycle (Class I-V) Girls 2010 2010 87.8% 2010 12.2% 2010 63.2% 23 Gross enrolment rate in tertiary education Women 24 Gender parity index in primary secondary Primary and tertiary level enrolment Secondary 1.14 Tertiary 0.33 Men BANBEIS 51.2% 2010 Men -- SVRS,BBS 14.4% Gross enrolment rate in secondary education Share of graduates in science, and SVRS,BBS 85.6% 22 25 SVRS,BBS 78.1% Boys Women 81.4% 4.4% BANBEIS & UGC 13.3% 2010 -- 1.02 -- BANBEIS Data not available engineering, manufacturing and construction tertiary level, who are women 26 Proportion of women among third-level Women 2009 25% BANBEIS 2009 68.4% 2010 62.0% World Bank report- 55.6% 2010 2010 46.2% BANBEIS 2005 99.0% Primary School 92.2% census-2009 teachers or professors (College, Degree/ Hons. And Masters) 27 Net intake rate to primary education Girls 28 Primary Completion rate Girls Boys 65.3% Boys 29 Secondary completion rate 30 Transition rate primary to secondary Girls Boys Girls Boys xxiv MICS 39.5% Sl.No 31 Indicator Gender Education attainment of population aged 25 Women and over Men Year Findings 2001 47.8% Census 55.3% 2010 56.7% Source Pop. Census III. Health and related service 32 Contraceptive prevalence among currently Women married women aged 15-49 Men 33 Under-five mortality rate per 1000 live births Girls SVRS,BBS 2010 Boys 43% SVRS,BBS 50% 34 Maternal mortality ratio. 2010 2.16 35 Antenatal care coverage 2011 54.6% SVRS,BBS NIPORT 36 Proportion of births attended by skilled 2011 31.7% NIPORT 2009 1.50% The global adult health professional 37 Smoking prevalence among 15+ 38 Proportion of adults obese (women age 10- Women 44.70% tobacco survey Women 2011 30% FSNF-2011,BU Population age 15 and up living with Women 2009 1900 Bangladesh-UNAIDS HIV/AIDS Men Reported number of all males and females Women Men 49 and BMI>=18.5) 39 40 receiving anti-retroviral drug Men 41 Life expectancy at age 60 Women 42 Proportion of Adult (aged 15+) mortality by main causes 4300 2010 163 Global summary of 302 HIV/AIDS,WHO 2010 18 years Men Heart disease Women 16.9years 2010 15.8% 2010 8.6% Men Respiratory diseases Women Women SVRS,BBS 22% Men Cancer SVRS,BBS SVRS,BBS 11.7% 2010 Men 6.4% SVRS,BBS 5.6% IV. Public life and decision-making 43 Women's share of government ministerial 2011 positions 44 Proportion of seats held by women in 2011 national parliament 13% out of Cabinet Division, 46 minister Information 20% out of Bangladesh 345 seat Parliament Secretariat 45 Women's share of managerial positions 2010 19% out of LFS,BBS 513914 46 Percentage women among police officers 2010 8.1% out of Statistics of civil 2084 officer and staff, 2010 2010 15% out of Statistics of civil 623 officer and staff, 2010 (Class-1) 47 Percentage women among judges(Dist.& Session Judges) xxv Sl.No Indicator Gender Year Findings Source V. Human rights of women and girl children 48 Proportion of women aged 15-49 subjected - - - - - - to physical or sexual violence in the last 12 months by an intimate partner 49 Proportion of women aged 15-49 subjected to physical or sexual violence in the last 12 months by persons other than an intimate partner 50 * Prevalence of FGM/C (for relevant -- -- countries only) 51 Percentage of women 20-24 years old who 2011 0.5% were currently married before age 18 52 VAW Survey-2011, BBS Adolescent fertility rate (15-19) per 1000 2010 59% SVRS,BBS women It should be noted that the original recommendation of UNSC has been slightly modified in a few cases (eg. serial no. 2) to match context and availability of data. xxvi CHAPTER 1 Introduction 1.1 Background Gender equality implies a society in which women and men enjoy the same opportunities, outcomes, rights and obligations in all spheres of life. Equality between men and women exists when both sexes are able to share equally in the distribution of power and influence; have equal opportunities for financial independence through work or through setting up businesses; enjoy equal access to education and the opportunity to develop personal ambitions. A critical aspect of promoting gender equality is the empowerment of women, with a focus on identifying and redressing power imbalances and giving women more autonomy to manage their own lives. Women’s empowerment is vital to sustainable development and the realization of human rights for all. Empowering women is also an indispensable tool for advancing development and reducing poverty. Gender equality is, first and foremost, a human right. Women are entitled to live in dignity and in freedom from want and from fear. But equity means fair and impartial justice, both are equally important irrespective of gender; women and men in sharing property, ownership in all spheres of life. It may be mentioned that for participation in all national activities, women should have equal rights and privileges in the society. The Constitution of Bangladesh has given such opportunity. According to Article 28 of the Constitution of the People’s Republic of Bangladesh “ i) The state shall not discriminate any citizen on grounds only of religion, race, caste, sex or place of birth ii) Women shall have equal rights with men in all spheres of state and of public life. iii) No citizen shall, on grounds only of religion, race, caste, or place of birth be subjected to any disability, liability, restriction or condition with regards to access to any place of public entertainment or resort or admission to any educational institutions. iv) Nothing of this article shall prevent the state from making special provision in favour of women or children or for the advancement of any background section of citizen.’’ The Constitution of the country also ensured equal opportunity for women in empowerment under Article 29. This article envisaged as follows: Equality of opportunity in public employment. (i) There shall be equality of opportunity for all citizen in respect of employment or office in the service of the Republic. (ii) No citizen shall, on grounds only of religion, race, caste, gender or place of birth, be ineligible for, or discrimination against in respect of, any employment or office in the service of the Republic. Over the years, government, NGOs, development partners are working towards women’s development and implementing a series of development intervention for eliminating gender discrimination. As a pragmatic measure for women’s empowerment, direct election of women members in Union Parishad was introduced in 1997, where 3 seats out of 12 seats of Union Parishad members were kept for women to be elected directly by the voters. In order to protect women for repression a law entitled “Prevention of Women and Children Repression Act 2000”, revised in 2003 has been enforced to address Violence Against Women (VAW). Moreover, the Dhaka, Declaration for Eliminating Violence Against Women in South Asia 2003 reaffirms the instruments already evaluated by the national and international agencies. The declaration stated as follows: 1 “We recognize and accept our crucial role, both individually and collectively, as the bridge between people and government as advocates for the rights and concerns of the people, as legislators to make laws to protect these rights and mobilize the policies and resources required to create the enabling environment for this purpose”. The following laws, conventions and action plans ensure the right and privileges of women in the society: • • • • • • • • • • • The Universal Declaration of Human Rights (1948) The International Convention on Civil and Political Rights (1966) The International Convention on Economic, Social & Cultural Rights (1966) The United Nations Convention on the Elimination of all forms of Discrimination Against Women (1779) (CEDAW) The Convention on the Rights of the Child (1993) The Declaration on Violence Against Women (1993) The Vienna Declaration and the Program of Action of the World Conference on Human Rights (1993) The Program of Action of the International Conference on Population and Development (ICPD), Cairo, Egypt (1994) Platform for Action and the Beijing Declaration (1995) The Rome Statute of the International Criminal Court (1998) South Asia Association for Regional Cooperation (SAARC) Convention on Preventing and Combating the Trafficking in Women, (2002) The Government of Bangladesh has already ratified CEDAW and perusing programs and policies to implement the decisions of the Beijing Platform of Action. Government has also shown respect to other laws and declaration. A National Plan of Action (NPA) for the women development has also been formulated. As regards educational attainment of women, commendable progress has been achieved in the recent years and the women’s enrolment has exceeded the men’s enrolment. The enrolment in the tertiary level has also been increased. The employment situation of the women has also improved where large number of women is now working in RMG sector, cosmetic and shoe industries. Women’s economic participation rate has also been increased from 29.2% in 2005-06 to 36.0% in 2010. The share of women employment in nonagricultural sector also increased over the years. As regards human development indicators particularly in health and education, the gender gaps are becoming narrower in the recent year. Women’s Advancement and Rights Women frequently experience poverty differently, have different poverty reduction priorities and are affected differently by development interventions. In addressing gender based discrimination the Sixth Five Year Plan (SFYP) will follow a two-pronged approach. Firstly, gender will be integrated into all sector interventions. Secondly, attention will be given to remove all policy and social biases against women with a view to ensuring gender equality as enshrined in the National Constitution. 2 Vision and Goals: The vision for women’s advancement and rights is to create a society where men and women will have equal opportunities and will enjoy all fundamental rights on an equal basis, To achieve this vision; the mission is to ensure women’s advancement and rights in activities of all sectors of the economy. The Government adopted the ‘National Policy for Women’s Advancement` (NPWA) 2011 that aims at eliminating discrimination inequality between women and men by empowering them to become equal partners of development. The overall development goal for women’s empowerment covers: (i) (ii) (iii) (iv) (v) promoting and protecting women’s right; eradicating the persistent burden of poverty on women; eliminating discrimination against women; enhancing women’s participation in the mainstream of economic activities; creating opportunities for education and marketable skills training to enable them to participate and be competitive in all economic activities; (vi) Incorporating women’s needs and concerns in all sector plans and programs; (vii) promoting an enabling environment at the work-place: setting up day care centers for the children of working mothers, career women hostels, safe accommodation for working women; (viii) providing safe custody for women and children victims of trafficking and desertion, and creating an enabling environment for their integration in the mainstream of society; (ix) ensuring women’s empowerment in the field of politics and decision making; (x) taking action to acknowledge women’s contribution in social and economic spheres; (xi) ensuring women’s social security against all vulnerability and risks in the state, society and family; (xii) eliminating all forms of violation and exploitation against women; (xiii) developing women’s capacity through health and nutrition care; (xiv) facilitating women’s participation in all national and international bodies; (xv) strengthening the existing institutional capacity for coordination and monitoring of women’s advancement; (xvi) talking action through advocacy and campaigns to depict positive images of women; (xvii) talking special measures for skills development of women workers engaged in the export – oriented sectors; (xviii) incorporating gender equality concerns in all trade –related negotiations and activities; (xix) ensuring gender sensitive growth with regional balance; and (xx) protecting women from the adverse effects of environmental degradation and climate change. The Sixth Five Year Plan (SFYP) Strategy to Address Gender Issues The main strategy and policy initiatives under the SFYP to improve the economical political and social inclusion and empowerment of women include: • Policy and Legal Framework: Taking the constitution as the basis, the government’s commitment to various international forums (CEDAW, Beijing Platform for Action etc.) would be taken into consideration in addressing women’s advancement and rights issues. • Productive Employment: To create more jobs, action would be taken to improve women’s employment opportunities and wages outside the household and also ensure equal pay for equal work. An enabling environment would be created in the workplace by establishing day care centre. Provision 3 would be made for life and disability insurance for workers, especially women workers. Steps would be taken to ensure secure jobs and decent working conditions for women in the formal and informal sectors. • Enabling Environment: Measures would be taken to develop advocacy for treating girl child and boy child equally and promote equal sharing of household and productive work. Necessary legal and administrative measures would be taken for ensuring a safe workplace, transportation facilities, and infrastructure like separate toilets, lunchrooms and lunchtime; • Eliminating Female Health and Education Disparities: The sixth plan will continue with past efforts in removing all disparities in health and education indicators. Related sector targets and programs will build this objective as a major plan focus. • Priority to Women in Social Protection Programs: The existing programs for social protection for disadvantaged women would be continued. Gender sensitive measures would be taken to protect women from economic vulnerability and risk due to natural disasters. The effect of the emerging problems of climate change on women would be assessed for designing coping strategies and mitigation measures. Banks and micro-credit providers would be encouraged to extend small and micro-credit to the poor and the vulnerable. • Political Empowerment and Participation: In this context, the main targets are to ensure participation of women in the National Parliament and the local political institutions, influence political decisions in favor of women, ensure direct election in the reserved seats in the National Parliament and ensure women’s representation in the local bodies with authority and responsibility. Initiatives would be taken to make women politically more conscious, encourage women to participate on politics and to build leadership among women at all levels. • Addressing Violence Against Women (VAW): The major targets for elimination of VAW are to ensure reporting of all VAW incidences, reduce reported VAW at least by half, and consolidate the “One-Stop Crisis Centre” in medical college hospitals at divisional levels. It will provide medical treatment, legal and psychosocial counseling to women and children victims of violence, and provide shelter facilities and make efforts for their reintegration and rehabilitation in society. The police, the administration and the judiciary will be sensitized to apply CEDAW with provisions in cases of VAW and women’s rights. • Gender Mainstreaming: Laws, rules and regulations, institutional mechanisms, policies, projects and programs which are not gender sensitive would be reformed. The intuitional mechanism for coordination in monitoring of gender equality issues would be strengthened. • Institutional Strengthening: The National Council for Women’s Development (NCWD) would oversee women’s advancement-related activities by providing guidance and policy support. The Women’s Development Implementation and Evaluation Committee (MOWCA) will regularly review, evaluate and co-ordinate women’s development activities and assist NCWD by reporting on progress of implementation. The Women in Development (WID) focal point mechanism would be strengthened to play an effective role in leading the coordination, monitoring the implementation of women’s advancement and rights in policies, projects and programs. • Integrating Gender Issues in Planning and Budgetary Processes: For integration, capacity building of relevant government officials on gender responsive budgeting and planning will be adopted in line with the policy agenda. 4 • Strengthening Women’s Participation in Economic Decision-making: Measures would be taken for ensuring participation of women producers, women trade unions and women entrepreneurs in trade negotiations and in various committees of the Ministry of Commerce, ensuring coherence between the dominant international economic agenda and the international legal obligations. Making arrangements for market access to goods where women are ‘behind the label” planning for market access to women in the secret services under Mode 4, encouraging FDI in women labor intensive industries, and ensuring women’s voice in international forums. • Addressing Ethnic Dimension of Women: Special program for ethnic women including poor, destitute and elderly will be undertaken to address their needs. In order to increase productivity and diversification of activities, the ethnic women’s capacity would be enhanced through health, education and services. • Promoting Public Image of Women: The media will be sensitized to promote positive images of women. In order to make the media more gender friendly, effort will be taken to establish increased linkages between women’s groups and the broadcasting agencies. • Disability and Gender Issues: Women with disabilities will be given preference under the safety net measures. It may be mentioned that United Nations (UN) has declared the Millennium Development Goals (MDG) in September 2000 with the objectives of achieving some targeted goals within 2015. The MDG has 8 goals 20 targets and 60 indicators. The MDG Goals are as follows: Goal 1: Eradicate extreme poverty and hunger Goal 2: Achieve universal primary education Goal 3: Promote gender equality and empower women Goal 4: Reduce child mortality Goal 5: Improve maternal health Goal 6: Combat HIV/AIDS, malaria and other diseases Goal 7: Ensure environmental sustainability Goal 8: Develop a global partnership for development The MDG goal no. 3 entitled “Promote Gender Equality and Empowerment Women” is devoted to women’s development. The target no. 4 of the MDG is to eliminate gender disparity in primary and secondary education preferably by 2005 and at all levels by 2015. 5 1.2 Objectives The main objectives of the Gender Statistics of Bangladesh 2012 are as follows: • To provide gender disaggregated data for the planners, administrators, policy makers, researchers and development partners. • To oversee the progress of women in different sectors • To provide evidence base statistics for research and policy development • To asses differences in the situations of women and men and how their conditions are changing • To provide women development or empowerment related statistics for the development of policies that are not explicitly related to gender. The United Nations Statistical Division (UNSD) also suggested producing gender statistics annually to evaluate the outcome of the member states. 1.3 Methodology The report on “Gender Statistics of Bangladesh 2012” has been prepared by taking secondary data from different censuses, periodic surveys, ad-hoc surveys, and administrative records of other ministries/division, department/directorates, NGO, autonomous bodies, corporations. To compile the data we first emphasized on census data then survey and administrative records. Where multiple sources of data are present, preference has been given to the most reliable source. 1.4 Limitation In a few cases, we cannot update data due to unavailability. Even where gender gap data is available, it does not necessarily always portray the full extent of the disparity as behind the scene women have many other responsibilities and duties, data of which is not available or is difficult to quantify. We cannot maintain appropriate year interval due to unavailability of data. In some cases, there have been instances of significant variation between various sources of the same data. However, due to lack of sufficient explanations in the source report, some of the variation could not be explained. Limitations of different surveys Labour force survey 2010: • Labour force data by occupation at 3-digit level may not be statistically representative because of small sample size Household Income and Expenditure Survey 2010: • With regard to earnings, it is difficult to determine the value of service rendered by the unpaid family members, particularly those services rendered by the unpaid female and the children. Such household members were not normally considered, as earners by the respondent and therefore, their income were likely to have been under reported. 6 • Only two weights were used in HES 1991-92, one for urban one for rural. On the other hand HIES 2000 used 14 weights and HIES-2005 and 2010 used 16 weight. This may not be quite compatible for comparability of past surveys. Child Nutrition Survey 2000: • When sampling frame is being designed, the sample size should take into account that there will be analyses on the determination of malnutrition with this sample. • The urban population in Bangladesh now comprises approximately 25% of the total. Of these, it is estimated that 30% live in slums. If this is the case, then there needs to be more representative sampling of urban slums. • Almost all national and international surveys of childhood nutrition now cover the age range 0-60 months. But the Child Nutrition Survey of Bangladesh continues to survey up to 71 months. This survey needs to include infants below six months to be able to compare results with other studies. Child Nutrition Survey 2012: • Lack of skilled manpower in anthropometric measurement • Lack of available female enumerator Sample Vital Registration System 2012: • Frequent changes of household in urban PSU • Urban / Rural classification may not always be done perfectly as urbanization is a gradual process. Reclassification of previous rural areas as urban may sometimes create misleading movements in time-series stats. • Shortage of work force in the headquarter and regional offices has hampered adequate coverage of vital events using Dual Recording System. 1.5 Organization of the report This report contains 12 chapters where the introductory chapter provides background, objectives, methodology and limitation of the report. The second chapter gives the necessary information related to household and population of Bangladesh disaggregated by sex. The third chapter provides information on nuptiality such as early marriage, spousal age difference, mean age at marriage, marital status and contraceptive use. Chapter 4 provides major findings of health and nutrition where chapter 5 provides morbidity status and health services. Chapter 6 deals with disability data, chapter 7 focuses particularly on labour force participation of women compared to men in the economy. Chapter 8 contains several sexdisaggregated data on education, chapter 9 includes income, expenditure of household and poverty related data disaggregated by sex. Empowerment of women in different public and private enterprises are provided in chapter 10. Chapter 11 provides data on violence against women. Chapter 12 is the final chapter, which presents some selected MDG indicators disaggregated by sex. This chapter also includes some selected indicators among the SAARC countries. 7 8 CHAPTER 2 Household and Population This chapter provides the necessary information related to household and population of Bangladesh disaggregated by sex. Specifically time series and comparable data on household size, head of the household by sex, size of land owned, earning status, population size, sex ratio and migration rate etc. has been presented in this chapter. 2.01 Population Size In Bangladesh, the population size has been increasing continuously although the annual growth rates of population declining. The size of the population doubled between the year 1974 and 2011. The sex ratio (m/f X 100) which reflects the difference in number between women and men have improved significantly towards equality, and was 100 in 2011 population census. Table 02.01: Census adjusted population (million) distribution by sex 1974‐2011 Year Number in million Proportion Annual Women Men Both Women Men Growth rate 1974 37.0 39.4 76.4 48.4 51.6 2.48 1981 43.6 46.3 89.9 48.5 51.5 2.32 1991 54.1 57.3 111.4 48.6 51.4 2.17 2001 62.8 67.7 130.5 48.1 51.9 1.59 2011 74.8 75.0 149.8 49.9 50.1 1.37 Source: Report on Population Census 1974, 1981, 1991, 2001 and 2011, BBS 2.02 Population Structure by Broad Age Group Table 02.02: Percentage distribution of women and men by broad age groups, 1981‐ 2011 Age group 1981 <15 15-49 50+ Total <15 15-49 50+ Total 2001 2011 46.8 43.4 9.8 100.0 1991 Women 45.0 45.7 9.3 100.0 38.6 51.0 10.4 100.0 33.8 53.4 12.8 100.0 46.5 42.1 Men 45.3 43.8 39.7 48.1 35.5 49.8 11.4 10.9 12.2 14.7 100.0 100.0 100.0 100.0 Source: Population Census, 2001 and 2011,BBS The distribution of the population by broad age and sex is shown in table 2.02. It may be noted that most of the women-men population on the country is concentrated in the “15-49” age group. It is evident from the table 2.02 that women population of the age-group <15 has decreased from 46.8 in census 1981 to 33.8 in 2011. For men population in the same age group decreased from 46.5 in census 1981 to 35.5 in 2011. 9 On the other hand, percentage of children less than 15 years and population over 60 years, which constitutes the dependent population, gradually decreased over the decades since 1981. The decreasing trend of dependent population is a good sign for the nation and favours the economy with reducing cost burden of the society. 2.03 Population Distribution by Age Group and Sex The distribution of population by age group and sex is shown in table 2.03 for 1981-2011. It is apparent from the table that population at the age-group 0-4, 5-9 and 10-14 are almost same for women and men at national, rural and urban levels. Difference in the distribution of population by sex is noticed in other age groups. Table 02.03: Percentage distribution of population by age group, sex and residence, 1981‐2011 Age group 1981 00-04 00-09 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ Total Pop(Million) 17.4 16.5 12.8 9.7 8.3 7.3 5.9 4.9 4.0 3.3 2.6 2.2 2.1 0.9 2.1 100.0 43.6 Women 1991 2001 14.9 17.0 12.9 8.2 8.6 8.9 6.3 5.8 4.2 3.5 2.9 1.9 2.0 1.0 0.8 0.3 0.5 100.0 54.1 12.7 13.2 12.4 9.6 10.4 9.9 7.1 6.0 4.6 3.4 3.0 1.8 2.2 3.7 100.0 62.8 Men 2011 10.3 12.3 11.2 8.8 10.6 10.1 7.5 6.6 5.5 4.2 3.6 2.2 2.6 1.3 1.4 0.5 1.14 100.0 74.8 10 1981 National 16.6 15.9 13.4 5.9 7.4 6.8 5.9 5.2 4.3 3.6 2.9 2.4 2.3 1.2 2.6 100.0 46.3 1991 2001 2011 14.4 16.8 14.1 9.0 7.4 6.9 6.2 6.1 4.7 3.7 3.1 2.1 2.2 1.1 1.1 0.5 0.7 100.0 13.2 13.7 13.0 9.9 7.7 7.8 6.8 6.6 5.4 4.1 3.4 2.1 2.4 4.18 100.0 67.7 10.6 12.9 11.9 9.0 8.0 8.6 7.0 6.5 5.9 4.7 4.1 2.7 2.9 1.5 1.7 0.7 1.1 100.0 75.0 57.3 (Contd.) Age group 00-04 05-09 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ Total Pop(Million) 00-04 05-09 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ Total Pop(Million) 1981 Women 1991 2001 2011 1981 Rural 1991 2001 2011 17.7 16.7 12.6 9.5 8.1 7.4 5.8 4.9 4.2 3.0 3.0 1.7 2.2 3.1 - 15.2 17.3 12.7 8.0 8.4 8.8 6.6 5.8 4.2 3.5 2.9 1.9 2.0 1.0 - 13.2 13.7 12.3 9.1 9.9 6.0 6.9 6.0 4.7 3.5 3.1 1.9 2.1 3.9 - 10.6 12.8 11.3 8.4 9.9 9.8 7.4 6.7 5.3 4.2 3.7 2.3 2.7 1.4 1.5 0.6 1.2 17.4 16.6 14.1 9.1 6.6 6.8 5.2 5.0 4.2 3.5 3.1 2.1 2.4 3.9 - 14.6 17.0 14.1 9.0 7.3 7.0 6.1 5.9 4.6 3.7 3.1 2.1 2.2 1.1 1.2 0.5 0.7 14.1 14.7 13.3 9.6 6.9 7.2 6.3 6.3 5.2 4.0 3.4 2.1 2.5 4.5 - 11.2 13.8 12.4 8.8 7.3 8.0 6.6 6.2 5.8 4.6 4.1 2.7 3.0 1.7 1.8 0.8 1.2 100 37.4 100 43.9 100 48.6 100 100 57.9 38.4 Urban 100 45.1 100 50.9 100 56.8 16.1 15.2 14.4 10.7 9.5 8.1 5.7 4.5 3.8 2.7 3.0 1.4 2.0 2.8 - 12.7 15.0 14.2 10.2 10.4 9.8 9.1 5.9 4.1 3.1 2.4 1.5 1.6 0.7 0.6 0.3 0.4 100 10.9 11.3 12.9 11.4 12.3 10.9 7.7 6.2 4.5 3.2 2.6 1.4 1.7 2.9 100 9.2 10.7 10.9 10.5 12.2 11.2 8.1 7.1 5.6 4.1 3.3 1.9 2.1 1.1 1.1 0.4 0.8 100 12.9 12.5 12.8 10.2 10.2 9.8 7.1 6.2 4.9 3.5 3.1 1.7 2.0 3.0 - 12.2 14.7 14.2 9.6 8.7 7.6 7.1 7.0 5.4 4.1 3.1 1.9 1.8 1.0 0.9 0.3 0.5 100 10.4 10.6 12.0 10.9 10.4 9.9 8.2 7.3 5.9 4.3 3.3 1.9 1.9 3.1 100 8.8 10.3 10.7 9.9 10.3 10.5 8.3 7.4 6.4 4.9 4.0 2.6 2.4 1.2 1.2 0.5 0.7 100 10.2 14.2 16.9 12.2 16.8 18.2 - 100 6.2 Men - 100 7.9 Source: Population Census, BBS 11 Population pyramid by 2011 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10-14 5-9 0-4 -15 -10 -5 0 Men 5 Women 10 15 2.04 Sex Ratio Table 2.04 shows the trend in sex ratio in different censuses by residence, rural and urban. The sex ratio of the population at the national level has decreased from 106.1 in 1991 to 100.0 in 2011. The decline is evident in both urban and rural areas. However, in urban areas sex ratio is much higher (126.3 in 1981 to 110.0 in 2011), because higher rates of male migration compared to female migration. Table 02.04: Sex ratio by residence, 1981‐2011 Residence National Rural Urban 1981 106.2 102.8 126.3 1991 106.1 103.4 118.1 2001 106.6 103.6 117.2 2011 100.0 98.0 110.0 Source: Population Census National Report, 2001 and 2011 2.05 Household Head by Sex Household head termed as head of a household or a family whose authority is to exercise control and management over household or a family and support the dependent members founded on a moral or legal obligation or duty. Table 2.05 shows that 84.4% of the households at the national level were headed by men in 2011 whereas only 15.6% were headed by women. Table 02.05: Percentage distribution of households by sex of household heads and residence, 1981‐2011 Year 1981 1991 2001 2011 National Women 16.8 11.0 7.9 15.6 Rural Men 83.2 89.0 92.1 84.4 Women 17.9 11.4 7.6 16.0 Source: Population Census , BBS 12 Urban Men 82.9 88.6 92.4 84.0 Women 14.9 8.4 9.0 14.0 Men 85.1 91.6 91.0 86.0 There are fluctuations in proportion of households headed by men and women, but overall male dominance prevails over time and is similar in urban and rural areas. On an average men headed households was about five times more than women headed households. 2.06 Household Size by Sex of Household Head Average size of men and women headed households for 2000, 2005 and 2010 is presented in table 2.06. It is observed from the table that average household size of men and women headed household declined gradually from 2000 to 2010. Table 02.06: Trend in average household size by sex of household heads and residence, 2000‐2010 Residence National Rural Urban Both 5.18 5.19 5.13 2000 Women 3.65 3.54 5.24 Men 5.33 5.35 4.04 Both 4.85 4.89 4.72 2005 Women 3.48 3.41 3.59 Men 4.98 5.07 4.84 Both 4.50 4.53 4.41 2010 Women 3.39 3.35 3.53 Men 4.67 4.73 4.52 Source: Household Income and Expenditure Survey, BBS Men headed households are larger than women headed households in both urban and rural areas for the year 2000 to 2010. The decrease in the average household size of both women and men headed may be attributed to the reduction in fertility rate and the conversion of large family into nuclear size. 2.07 Average Family Members by Sex and Land Ownership Table 2.07 presents distribution of average number of male and female family members by land holding size. There is not much difference observed by land ownership and sex, except an overall decline in number of male and female family members over time. 13 Table 02.07: Distribution of households by size of land owned and average number of members by sex, 2005‐2010 Size of land owned (acre) Women 2005 Landless 00.01-00.04 00.05-00.49 00.50-00.99 01.00-01.49 01.50-02.49 02.50-04.99 05-00-07.49 07.50-09.99 10.00-14.99 15.00-24.99 25.00+ All groups 2.03 2.13 2.43 2.43 2.51 2.53 2.78 2.94 3.04 3.79 3.35 3.79 2.42 Average number of members Men Women 2010 2.03 2.03 2.07 2.11 2.44 2.30 2.54 2.31 2.64 2.39 2.74 2.49 2.96 2.54 3.44 2.66 3.68 2.60 3.56 2.79 4.16 3.24 3.32 4.05 2.47 2.27 Men 1.93 2.02 2.26 2.35 2.27 2.43 2.67 2.95 2.89 2.43 2.89 3.18 2.23 Source: Household Income and Expenditure Survey -2010, BBS The number of members increases with the increase in size of land. This was applicable for both men and women. 2.08 Earning Status of Household Members The distribution of household heads by sex and earning status of household members are shown in table 2.08. It is evident from the table that percent of earners among women household members increased from 12.9 in 2005 to 15.0 in 2010, seen in both rural and urban areas. Table 02.08: Percentage distribution of households by sex of head and percentage distribution of earners by sex and residence, 2005 & 2010 Percentage of household Percentage of earner within Residence Women headed Men headed National Rural Urban 10.27 10.72 8.96 89.73 89.28 91.04 National Rural Urban 13.90 14.90 11.20 86.10 85.10 88.80 Total 2005 100.0 100.0 100.0 2010 100.0 100.0 100.0 Source: Household Income and Expenditure Survey -2010, BBS. 14 Women Men 12.9 10.1 19.8 72.3 72.8 70.7 15.0 12.6 20.3 72.4 73.0 70.7 Percentage of earner status by gender and residence, 2010 100 90.36 88.34 83.34 80 60 40 20 11.66 16.66 9.64 0 Natio nal Rural Female Urban M ale In 2010 there was urban-rural variation in respect of earning status of household members. For the women members in the rural area, it was 12.6% compared to 20.3% in the urban area. It may be due to urbanization and higher level of women education. On the other hand, percentage of men earners in the rural area were higher than urban area. 2.09 Internal Migration Migration has been defined as the movement of persons who change his/her place of residence, for a period of six months or more except for marriage in which case the time period for the migration is not fixed. Internal migration is the process of migration that takes place within the country. Migration is an important component influencing growth and redistribution of population and resources. For the socioeconomic development and planning process, the analysis of data on migration is essential. Migration takes place in different ways. In case of permanent migration, the migrant leaves the place of birth once for all and stay at the place of destination. On the other hand, repeated change of residence may take place in case of temporary migration. 15 2.10 In and Out Migration Rate In and out-migration rate per 1000 population for 1985-2010 is presented in table 2.10. It is evident from table that in-migration rates estimated for both sexes, women and men were found 35.3, 41.4 and 26.1 in 2010 while for out-migration it was found 36.1, 41.8 and 30.3 respectively. It also observed that there had been an increasing trend in out-migration rate. Table 02.10: In and out migration rate per 1000 population by sex, 1985‐2010 Year 1985 1990 1995 2000 2006 Both 9.8 16.2 18.6 22.2 33.5 In-migration Women 38.9 2008 30.6 34.2 25.5 28.6 29.3 23.3 2010 35.3 41.4 26.1 36.1 41.8 30.3 Men 28.3 Both 8.0 10.1 13.4 15.8 28.9 Out-migration Women 34.1 Men 23.8 Source: SVRS, BBS 2.11 Direction of In‐Migration Migration rate by sex and direction of migration for 2000-2010 is presented in table 2.11. It is evident from the table that in-migration rates to rural areas is smaller than in-migration to urban areas for understandable reasons, and the rate of in-migration to urban areas have increased at a much faster pace. On the other hand, in rural areas in migration rate for women is higher than the in migration for men, because of marriage exogamy as the next table shows. Urban in-migration rate of men is relatively higher than that of women in 2000 but in 2010 urban in-migration rate of women was more than those of women, which might be due to job opportunity increased for women in the garments industry. Table 02.11: In‐migration rate by sex and direction per 1000 population, 2008‐2010 Direction of in-migration per 1000 Rural to Rural Urban to Rural Total Rural In migration Both 2000 12.7 1.0 13.7 Urban to Urban Rural to Urban Total Urban In migration 33.1 11.7 44.7 16 Women Men 18.9 1.2 20.1 6.9 0.7 7.6 32.8 11.8 44.6 33.3 11.5 44.9 (Contd.) Direction of in-migration per 1000 Both Women Men Rural to Rural Urban to Rural Total Rural In migration 12.7 3.4 16.3 17.5 3.6 21.1 8.3 3.3 11.6 Urban to Urban Rural to Urban Total Urban In migration 43.5 20.3 63.8 44.8 23.0 67.8 42.2 17.7 59.9 Rural to Rural Urban to Rural Total Rural In migration 16.2 6.0 22.2 22.3 6.4 28.7 10.2 5.5 15.7 Urban to Urban Rural to Urban Total Urban In migration 48.9 24.5 73.4 50.9 27.4 78.4 46.9 21.6 68.5 2005 2010 Source: SVRS, 2008, 2009,2010, BBS 2.12 Reasons for In‐Migration and Gender: Table 02.12: Percentage distribution of migrants classified by reasons and direction of migration by sex for 2008‐2010 Year 1995 Direction Total Rural In-migration Rural to Rural Urban to Rural Total Urban In-migration Urban to Urban Rural to Urban Sex Women Total 100 Marriage 84.3 Economic reason 8.3 Others 7.4 Men Women Men Women Men 100 100 100 100 100 6.4 84.3 6.2 88.6 11.5 19.4 8.3 19.5 7.2 14.4 73.2 7.4 74.3 4.2 74.1 Women 100 54.5 8.7 36.8 Men Women Men Women Men 100 100 100 100 100 3.1 35.2 2.0 64.2 4.3 22.5 9.7 20.3 8.3 24.5 74.4 55.1 77.7 27.5 71.2 17 (Contd.) Year 2001 Direction Total Rural In-migration Rural to Rural Urban to Rural Total Urban In-migration Urban to Urban Rural to Urban 2005 Total Rural In-migration Rural to Rural Urban to Rural Total Urban In-migration Urban to Urban Rural to Urban Year 2010 Direction Total Rural In-migration Rural to Rural Urban to Rural Total Urban In-migration Urban to Urban Rural to Urban Sex Women Total 100 Marriage 78.4 Economic reason 12.6 Others 9.0 100 100 100 100 100 5.2 68.3 8.8 79.0 4.8 26.5 13.9 18.8 12.5 27.3 68.3 17.8 72.4 8.5 67.9 Men Women Men Women Men Women 100 32.0 15.2 49.0 Men Women Men Women Men Women 100 100 100 100 100 100 2.1 22.7 1.7 57.0 3.4 31.6 29.9 15.7 30.0 14.1 29.7 12.3 68.5 56.4 68.3 28.9 67.1 56.1 Men Women Men Women Men 100 100 100 100 100 2.3 44.4 2.9 15.8 1.9 32.8 8.9 22.7 16.4 41.4 64.9 46.7 74.4 67.8 57.6 Women 100 4.3 12.0 83.7 Men Women Men Women Men 100 100 100 100 100 0.6 3.3 0.4 12.1 2.0 24.4 11.8 25.1 13.5 19.2 75.0 84.9 74.5 74.4 78.8 Sex Total Marriage Women 100 38.1 Men Women Men Women Men Women 100 100 100 100 100 100 Men Women Men Women Men 100 100 100 100 100 Source: SVRS, BBS 18 Education Looking for job Getting job Others 1.6 4.8 1.1 54.4 2.1 45.2 2.7 13.5 0.9 9.8 3.1 1.6 3.4 1.7 2.7 5.6 16.5 3.7 12.4 4.8 11.7 8.5 2.4 1.1 2.2 1.3 2.8 2.5 75.9 47.4 72.5 78.8 82.0 73.6 1.1 4.9 0.5 18.8 2.4 6.4 4.5 4.8 7.7 9.8 21.1 7.4 18.5 10.4 26.7 4.6 1.9 3.3 3.8 7.4 66.9 81.3 72.9 59.3 53.7 CHAPTER 3 Marriage, Fertility and Contraceptive Use Marriage is defined as the legal union of two persons of opposite sex that is women and men for leading conjugal life, formation of family and population growth. At present, early marriage is gradually changing as an impact of enactment of laws uplifting of women education, participation of women in socio-economic activities and the technological innovation changes in the society. Fertility refers to the role of birth in population changes and human reproduction. Fertility induces productivity during the reproductive period of women. Contraceptives are methods of birth control, used to prevent a woman from getting pregnant. There are many different forms of contraceptives some used by women and some used by men. The effectiveness of contraceptives varies dependently on type and proper use. Contraceptives such as birth control pill and condoms are widely used to prevent pregnancies. This chapter provides some important indicators on nuptiality such as early marriage, spousal age difference, mean age at marriage of women and men, marital status of women and men, fertility, divorce rate and contraceptive use. 3.01 Mean Age at Marriage Mean Age at Marriage (MAM) is one of the most important indicators of nuptiality. Mean age at marriage has direct impact on fertility and duration of marriage. Table 3.01 shows the levels and trends of mean age at marriage by residence for the period 1985-2010. Table 03.01: Mean age at marriage of women and men by residence, 1985‐2010 Year Women Men National Rural Urban National Rural Urban 1985 18.0 17.8 19.8 25.3 25.2 26.7 1990 18.0 17.8 18.8 25.1 24.7 26.3 1995 19.9 19.6 20.6 27.5 27.0 28.6 2000 20.4 20.1 21.2 27.7 27.1 28.9 2005 17.9 17.8 18.8 23.3 22.9 24.8 2010 18.7 18.4 19.4 23.9 23.5 25.4 Source: Report on Sample Vital Registration System 2010, BBS Table 03.02: Median age and singulate mean age at marriage, 2010 Type of marriage age estimate Women Median age at marriage 18.0 Singulate mean age at marriage 20.2 Men 23.0 26.1 Source: Report on Sample Vital Registration System 2010, BBS It is observed from the table that mean age at marriage for men in 2010 was higher than that of women by 5.2 years at the national level. MAM of urban men was higher than that of rural men by about 2 years. Mean age at marriage of urban women was also higher than that of rural women by only 1 year in 2010. Irregular trend is observed in mean age at marriage over time for both women and men at all levels. 19 3.02 Early Marriage Bangladesh law prohibits marriage before age 18 for girls and age 21 for boys. But marriage before the age of 18 years happens really for many girls. According to UNICEF’s global estimates, more than 60 million women aged 20-24 were married before their 18th birthday. Table 03.02.1: Percentage of women aged 15‐49 in marriage before their 15th birthday, women aged 20‐49 in marriage before their 18th birthday and women aged 15‐ 19 currently married, by division and area, 2006. Division/Area Division Barisal Chittagong Dhaka Khulna Rajshahi Sylhet Area Rural Urban Urban municipality City Corporation Non-slum Slum Total No. of women aged 15-49 years Percentage married before age 15 No. of women aged 2049 years Percentage married before age 18 No. of women aged 15-19 years Percentage of women 15-19 years married 4172 13372 22404 8124 17394 4393 36.7 21.9 32.9 39.3 41.8 19.1 3305 10141 17652 6501 13665 3311 79.5 66.5 72.1 80.5 81.4 57.6 867 3231 4752 1623 3729 1083 46.9 30.8 40.9 47.0 53.9 25.6 47449 21807 15267 36.2 27.0 28.3 37030 17062 11962 78.4 65.2 68.2 10419 4745 3305 46.1 33.0 34.0 6540 6067 473 604 23.7 22.5 39.8 13.2 5100 4724 376 484 58.1 56.5 78.6 43.8 1440 1343 97 120 30.7 29.5 46.8 26.7 Source: Multiple Indicator Cluster Survey -2006, BBS The Multiple Indicator Cluster Survey (MICS) of BBS looks at two indicators to estimate early marriage: the percentage of women married before 15 and 18 years age. Table 3.02.1, shows a large proportion of girls have married at an early age. Early marriage is common in Bangladesh. There are wide variations between divisions. Rajshahi has the highest rate of marriage before turned 18 (81.4 percent) compared to the rate observed in Sylhet division (57.6 %). Khulna has the rate (80.5 %) which is very close to the rate of Rajshahi division. By residence, 78.4 percent of women aged 20-49 living in rural areas were married before they turned 18 years compared to 65.2 percent in urban areas. 20 Table 03.02.2: Percentage distribution of ever married women (15‐49 yrs) who married before their 15th and 18th years of ages Age group 15-19 years 20-24 years 25-29 years 30-34 years 35-39 years 40-44 years 45-49 years No. of Percentage No. of women women aged married aged 20-49 years 15-49 years before age 15 15284 16.5 12630 27.7 12630 11151 33.1 11151 9376 37.5 9376 8853 40.0 8853 6627 45.4 6627 5939 56.6 5939 Percentage married before age 18 No. of Percentage women aged of women 15-19 years 15-19 years married 15284 41.9 70.2 76.1 77.7 80.5 85.7 64.1 Source: Multiple Indicator Cluster Survey -2006, BBS Table 03.02.3: Percentage of women aged 15‐49 in marriage before their 15th birthday, women aged 20‐49 in marriage before their 18th birthday and women aged 15‐ 19 currently married, by educational status, 2006. Educational status None Primary incomplete Primary complete Secondary incomplete Secondary completed or higher Non-standard curriculum No. of Percentage No. of Percentage Percentage No. of women aged married women aged married of women women 15-49 years before age 15 20-49 years before aged 15-19 15-19 years age 18 married years 23812 50.2 22393 85.8 1419 60.9 9669 43.3 7898 84.3 1772 52.6 8286 18917 35.5 18.5 6288 10896 79.1 67.1 1997 8021 54.1 38.8 8923 5.1 6900 29.5 2023 19.3 247 43.7 197 87.2 50 35.0 Source: Multiple Indicator Cluster Survey -2006, BBS Table 3.02.3 shows that there is a negative relationship between percent married before age 15 and age 18 and education, i.e. the lower the education of the women the younger woman at marriage. Table 3.02.4 shows that early age at marriage is associated negatively with household wealth. 21 Table 03.02.4: Percentage of women aged 15‐49 in marriage before their 15th birthday, women aged 20‐49 in marriage before their 18th birthday and women aged 15‐ 19 currently married, by wealth index, 2006. Wealth index No. of Percentage No. of women Percentage No. of women aged married aged married women aged 15-49 years before age 15 20-49 years before age 18 15-19 years Wealth index Poorest Second Middle Fourth Richest National 12818 13359 13821 14241 15622 69860 44.7 39.8 35.3 28.8 19.9 33.1 10592 10377 10495 10858 12254 54576 85.0 82.0 78.3 71.5 56.1 74.0 2226 2982 3326 3383 3367 15284 No. of women aged 15-19 years 52.0 49.8 45.1 39.0 27.9 41.8 Source: Multiple Indicator Cluster Survey -2006, BBS 3.03 Women Aged 20‐24 Married before Age 18 The table 3.03 shows proportion of women aged 20-24 years who were married before 18 years age. The figures indicate that the probability of early marriage have declined over the years, with proportions of women married before age 18 declining from 64.1 % in 2006 to 51.1 % in 2011 at national level. The declining trend was seen in both rural and urban areas. Table 03.03: Proportion of women 20‐24 years old who were married before age 18 for the year 2006 and 2011 Residence Women 2006 2011 National 64.1 51.1 Rural 67.4 51.6 Urban 56.2 50.6 Source :Multiple Indicator Cluster Survey-2006 and VAW survey 2011, BBS 3.04 Spousal Age Difference The other MICS component is the spousal age difference, with the indicator being the percentage of women currently married to a man at least ten years older. The table 3.04.1 shows that of the women aged 15-19 who are currently married the majority (43-53%) have husbands who were 5-9 years older, the second highest proportion (26-43%) have husbands over 10 years older, while 17-21% have husbands 0-4 years older, with variations by division. 22 Table 03.04.1: Percentage distribution of currently married women aged 15‐19 according to the age difference with their husbands by division, 2006 Division Barisal Chittagong Dhaka Khulna Rajshahi Sylhet Percentage of currently married women aged 15-19 whose No. of husband is: women aged 15-19 years Younger 0-4 years 5-9 years 10+ years Husband’s older older older age unknown 0.5 0.0 0.0 0.1 0.1 0.0 15.1 13.6 18.2 14.4 20.6 14.2 49.5 44.1 48.9 53.4 52.7 42.6 32.3 40.6 31.6 31.8 26.1 42.3 2.5 1.7 1.4 0.3 0.4 0.9 407 997 1946 762 2001 277 Table 03.04.2: Percentage distribution of currently married women aged 15‐19 according to the age difference with their husbands by area, 2006 Area Area Rural Urban Urban municipality City corporation Non-slum Slum Tribal Percentage of currently married women aged 15-19 whose husband is: Younger 0-4 years 5-9 years 10+ years Husband’s age older older older unknown 0.1 0.1 0.1 0.0 0.0 0.0 0.7 17.2 18.0 17.8 18.5 18.0 22.8 20.5 50.9 46.1 46.8 44.2 43.5 50.8 42.3 30.9 34.7 33.9 36.6 38.0 25.0 35.7 1.0 1.2 1.4 0.7 0.6 1.3 0.7 No. of women aged 15-19 years 4802 1565 1124 441 396 45 32 Table 03.04.3: Percentage distribution of currently married women aged 15‐19 according to age difference with their husbands by area, 2006 Women’s and girl’s education None Primary incomplete Primary complete Secondary incomplete Secondary completed or higher Non-standard curriculum Percentage of currently married women aged 15-19 whose husband is: Younger 0-4 years 5-9 years 10+ years Husband’s age older older older unknown No. of women aged 15-19 years 0.0 0.0 16.9 19.6 48.2 51.1 33.9 26.3 1.0 0.9 564 932 0.1 0.1 22.1 15.9 49.4 51.0 27.3 32.0 1.1 0.9 1081 3116 0.0 10.8 39.4 47.5 2.2 390 - - - - - 17 Source: Multiple Indicator Cluster Survey -2006, BBS Table 3.04.2 shows that there is not much variation in spousal age difference by area of residence. Table 3.04.3 shows that the spousal age gap was larger among women with more education. 23 Tables 3.04.4, 3.04.5 and 3.04.6 show variations in spousal age difference according to division, area of residence and women's education level. Women in Sylhet compared to women in other divisions are more likely to have husbands 10 years older, while women living in slums are less likely to have husband 10 years older compared to women living in rural or other types of urban areas. Women with secondary or higher completed education are more likely to have husbands older by 10 years or more. Table 03.04.4: Percentage distribution of currently married women aged 20‐24 according to age difference with their husbands by division, Bangladesh, 2006 Division Barisal Chittagong Dhaka Khulna Rajshahi Sylhet Percentage of currently married women aged 20-24 whose husband is: Younger 0-4 years 5-9 years 10+ years Husband’s age Older older older unknown 0.2 13.3 46.1 39.3 1.1 0.1 16.9 44.5 37.8 0.7 0.1 16.0 48.1 35.1 0.7 0.2 16.4 47.6 35.8 0.0 0.1 18.4 48.2 33.1 0.2 0.0 14.4 37.0 47.8 0.8 No of women aged 20-24 years 635 1894 3296 1260 2801 616 Source: Multiple Indicator Cluster Survey -2006, BBS Table 03.04.4: Percentage distribution of currently married women aged 20‐24 according to age difference with their husbands by area, 2006 Area Rural Urban Urban municipality City Corporation Non-slum Slum Tribal Percentage of currently married women aged 20-24 whose husband is: Younger 0-4 years 5-9 years 10+ years Husband’s Older older older age unknown 0.1 16.7 46.8 35.9 0.5 0.1 15.9 46.3 37.1 0.5 0.2 15.3 45.8 38.2 0.5 0.0 0.0 0.0 0.5 17.6 17.4 19.7 30.7 47.6 47.7 46.7 43.7 Source: Multiple Indicator Cluster Survey -2006, BBS 24 34.4 34.5 32.9 24.1 0.4 0.4 0.7 1.0 No of women aged 2024 years 7421 2999 2190 809 729 80 82 Table 03.04.4: Percentage distribution of currently married women aged 20‐24 according to age difference with their husbands by education of women and girls, 2006 Women’s and girl’s education None Primary incomplete Primary complete Secondary incomplete Secondary completed or higher Non-standard curriculum Percentage of currently married women aged 20-24 whose husband is: Younger 0-4 years 5-9 years 10+ years Husband’s age Older older older unknown 0.0 15.2 48.4 35.8 0.5 0.0 18.3 47.4 34.1 0.1 No of women aged 20-24 years 2272 1649 0.1 0.1 17.7 16.7 46.1 47.3 35.7 35.3 0.5 0.6 1442 3682 0.2 15.5 41.6 42.2 0.6 1409 0.0 18.3 50.8 30.8 0.0 47 Source: Multiple Indicator Cluster Survey -2006, BBS 3.05 Marital Status Marital status has close relation with fertility and population growth. Table 3.05 shows the distribution of population by sex, residence and marital status. Table 03.05: Marital status of population aged 10 years and above by sex, 1981‐2011 (In percentage) 57.2 0.7 43.7 55.7 0.6 32.8 66.2 1.1 10-14 99.0 1.0 - 99.5 0.5 0 98.7 1.3 0.0 98.8 1.1 0.1 15-19 93.3 6.6 0.1 95 4.9 0.1 95.7 4.2 0.1 95.7 4.1 0.2 20-24 59.7 39.9 0.4 68.4 31.4 0.2 69.1 30.7 0.2 57.0 42.7 0.4 25-19 21.2 78.3 0.5 26.4 73.3 0.3 32.2 67.6 0.2 19.5 80.0 0.5 30-34 6.3 93.1 0.6 7.2 92.5 0.2 12 87.7 0.3 5.9 93.6 0.5 35-39 2.3 97.0 0.7 2.1 97.6 0.3 4.7 95 0.3 2.4 97.2 0.4 40-44 1.9 97.1 1.0 1.1 98.4 0.5 3.3 96.3 0.4 1.3 98.3 0.4 45-49 1.2 97.5 1.3 0.6 98.7 0.7 2.4 97 0.5 0.9 98.4 0.6 50-54 1.7 96.3 2.0 0.7 98.1 1.2 2.9 96.1 1.0 0.8 98.2 1.0 55-59 1.2 96.2 2.6 0.4 98 1.6 2.9 95.8 1.3 0.7 98.3 1.0 Widowed /Divorced/ separated Currently married 42.1 Widowed/Divorc ed/separated 1.3 Widowed/Divorc ed/separated 55.9 Never married 42.8 Widowed/Divorc ed/separated Total Never married Never married 2011 Currently married 2001 Never married 1991 Currently married 1981 Currently married Age group Male 60+ 0.7 90.7 8.6 0.6 95.1 4.3 25 5 91.2 3.8 0.8 94.1 5.1 Widowed /Divorced/ separated Currently married Never married 2011 Widowed/Divorc ed/separated Never married Currently married 2001 Widowed/Divorc ed/separated Never married 1991 Widowed/Divorc ed/separated Never married Currently married 1981 Currently married Age group Female Total 23.7 63.4 12.9 25.2 64.8 10.0 29.0 63.0 8.0 20.1 70.6 9.4 10-14 98.0 70.0 - 96.8 3.0 0.2 96.1 3.4 0.5 97.6 2.1 0.3 15-19 31.3 65.4 3.3 48.7 49.6 1.7 62.6 36.2 1.1 57.3 41.6 1.1 20-24 5.1 90.9 4.0 10.5 86.6 2.9 17.6 80.5 1.9 9.1 89.2 1.7 25-19 1.3 94.4 4.3 2.4 94.0 3.6 6.6 91.0 2.4 2.6 95.6 1.8 30-34 1 92.2 6.1 1.1 93.8 5.1 3.9 92.0 4.1 1.2 96.0 2.8 35-39 0.4 89.8 9.6 0.6 92.1 7.3 2.5 91.4 6.1 0.7 95.0 4.2 40-44 0.7 81.9 17.4 0.6 86.9 12.5 2.6 87.2 10.2 0.7 91.9 7.4 45-49 0.3 74.5 25.2 0.4 81.7 17.9 2.1 84.3 13.6 0.6 89.0 10.5 50-54 1.4 62.3 36.3 0.5 70.6 28.9 3.0 75.2 21.8 0.7 82.4 17.0 55-59 0.7 54.4 44.9 0.4 64.3 35.2 3.2 71.8 25.0 0.5 77.9 21.5 60+ 0.5 32.9 66.6 0.8 42.9 56.3 6.3 48.0 45.7 0.8 49.2 50.0 Population Census, BBS The percentage distribution of population aged 10 years and over by marital status, age and sex over time are shown in table 3.05. The table shows a remarkable change in the proportions of never-married population over time. The percentage of never-married females at age group 15-19 and 20-24 were 31.3 and 5.1 percent respective in 1981 and these have increased to 57.3 and 9.1 percent in 2011 which have shown sharp upward trend. 3.06 Total Fertility Population growth depends mainly on fertility. Bangladesh is still facing high population growth despite falling fertility levels. Fertility level has declined overtime due to social and cultural uplift as well as high rate of contraceptive use. Total Fertility Rate (TFR) defines as the sum of the Age-Specific Fertility Rates (ASFR) over the whole range of reproductive ages for a particular period (usually a year). It can be interpreted as the number of children, a women would have during her lifetime if she were to experience the fertility rates of period at each age. Table 3.06 shows the total fertility per woman by residence. Table 03.06: Total fertility rate (TFR) per women by residence, 1985‐2010 Year National Rural Urban 1985 4.71 4.91 3.52 1990 4.33 4.57 2.90 1995 3.45 3.78 2.50 2000 2.59 2.89 1.68 2005 2.46 2.65 1.87 2010 2.12 2.23 Source: SVRS, BBS 26 1.72 It is evident from the table that total fertility rate (TFR) per woman experienced gradual declining trend over the period from 1985 to 2010 at the national level. It was 4.71 in 1985 compared to 2.12 in 2010. It was also gradually declining both in urban and rural area. The fertility rates are higher in the rural area compared to that in the urban area. It is clear from other reports that family planning measures in Bangladesh had been made more effective in the last two decades. Women have become more conscious about their health, social status and family welfare. 3.07 Age‐Specific Fertility Rate The Age-Specific Fertility rate (ASFR) per 1000 women is shown in table 3.07 for the age group 1549 years, the reproductive age group of women. It shows that ASFR of women had the decreasing trend during 1985-2010. It is evident from the table that the dominant fertility age groups are 20-24, 25-29, 30-34 and 35-39 years. Table 03.07: Age‐specific fertility rates (ASFR) per 1000 women, 2002‐2010 Age group 1985 1990 1995 2000 2005 15-19 89 79 55 29 57 20-24 258 240 202 159 160 25-29 246 233 198 162 131 30-34 180 158 119 89 71 35-39 113 109 94 50 48 40-44 42 34 17 12 18 45-49 14 12 5 4 7 2010 59 136 111 62 36 11 5 Source: Report on SVRS, 2010, BBS It is apparent from the table that during 1985-2010 ASFR was the highest at the age group 20-24 years, proceeded by age group 25-29 years and was the lowest at the age group 45-49 years. It is also evident from the above table that ASFR per 1000 women had decreasing trend during 1985-2010. 3.08 Total Marital Fertility Rate The data on marital fertility rate per married women for the period 1991-2010 are shown in table 3.08. Total marital fertility rate (TMFR) refers to number of children ever born per 1000 ever-married women. Marital fertility rates for women of completed fertility are an especially useful measure for comparing the overall level of fertility of two or more population at different years. Table 03.08: Total marital fertility rate by residence, 1991‐2010 Year National Rural 1991 5.42 1995 5.15 2000 3.99 4.43 2005 3.40 3.52 2010 3.33 3.54 Urban 2.05 2.28 2.88 Source: Report on SVRS, BBS It is evident from the table that the marital fertility rate for the country as a whole has declined over the period. The rate has fallen from 5.42 in 1991 to 3.33 in 2010. But in urban area it had increased. It was 2.05 in 2000 to 2.88 in 2010. 27 3.09 General Fertility Rate General Fertility Rate (GFR) per 1000 women of childbearing age 15-49 in the population indicates the number of live births in a specified period. Levels, trends and patterns of GFR for the period 1985-2010 can be seen in table 3.09. It is evident that the general fertility rate for the country as a whole has declined over the period. Table 03.09: General fertility rate by residence, 1985‐2010 Year National Rural 1985 156 162 1990 144 154 1995 130 135 2000 81 90 2005 82 89 2010 71 59 Urban 119 98 86 53 64 76 Source: Report on SVRS, BBS 3.10 Children Ever Born Table 3.10 shows comparison of the mean number of children ever born by age group of women. It is an indication of the cumulative changes in fertility over the years from 2000 to 2007. Table 03.10: Trend in mean number of children ever born by age group, 2000, 2004, 2007 & 2011. Age group 2000 2004 2007 2011 15-19 0.4 0.4 0.3 0.3 20-24 1.4 1.4 1.3 1.2 25-29 2.6 2.6 2.3 2.2 30-34 3.6 3.4 3.2 2.9 35-39 4.3 4.1 3.8 3.4 40-44 5.1 4.7 4.3 3.9 45-49 6.1 5.6 4.9 4.5 Total 2.6 2.5 2.3 2.2 Source: BDHS, 2004, 2007 and 2011 (NIPORT) It is apparent from the table that there was decreasing trend in the mean number of children from 2000 to 2011, especially among women age 25 years and above. 3.11 Divorce and Separation Rate Divorce as well as separation rate is increasing day by day in Bangladesh. It may be due to inability in maintaining expenditure, physical torture, re-marriage, dowry, failure to conjugal life, and child marriage. The data on crude divorce rate by sex and residence can be seen in table 3.11.1. It is evident from the table that at national level both women and men divorce rate had been increasing between 2002 and 2010. 28 Table 03.11.1: Crude divorce rate per 1000 population by sex and residence, 2002‐2010 Year National Rural Urban Women Men Women Men Women Men 2002 0.95 0.29 1.04 0.34 0.54 0.09 2004 0.99 0.27 1.12 0.31 0.56 0.12 2006 0.95 0.22 1.41 0.39 0.71 0.19 2008 0.93 0.24 0.97 0.22 0.82 0.27 2010 1.22 0.40 1.31 0.40 0.98 0.40 Source: SVRS-2008, 2009, 2010,BBS This trend was same for the urban and rural areas. But there was a vast difference between women and men divorce rate, with a larger gap in the rural areas. The crude divorce rates for women were 2 times higher than that of men. Crude separation rate for 2002-2010 by sex and residence can be seen in table 3.11.2. It is apparent from the table that the separation rates for women were higher than men. Table 03.11.2: Crude separation rate per 1000 population by sex and residence, 2002‐10 Year National Rural Urban Women Men Women Men Women Men 2002 0.45 0.18 0.39 0.19 0.08 0.10 2004 0.35 0.22 0.33 0.26 0.46 0.08 2006 0.27 0.13 0.30 0.23 0.42 0.06 2008 0.28 0.13 0.31 0.16 0.22 0.08 2010 0.33 0.15 0.32 0.15 0.38 0.17 Source: SVRS, BBS 3.12 Age‐Specific Divorce and Separation Rate The data on age-specific divorce rate by age and sex is shown in table 3.12.1. In 2010 the table that age-specific divorce rate for women was the highest in the younger ages 15-24 (4.62 at the age group 20-24, followed by 4.36 at the age group 15-19). Table 03.12.1: Age‐specific divorce rate by age‐ group and sex, 2005‐2010 Age – group 2005 Women 4.14 3.09 1.04 0.35 0.13 1.09 2007 Men 0.36 0 .87 0.62 0.38 0.14 0.30 2009 Women 2.56 2.61 0.88 0.27 0.22 0.69 Men Women 4.16 15-19 0.21 3.50 20-24 0.61 1.38 25-29 0.42 0.73 30-34 0.13 0.18 35+ 0.19 1.09 Total 0.23 Source: Report on Sample Vital Registration System 2010, BBS 29 2010 Men 0.23 1.16 1.02 0.50 0.20 0.33 Women 4.36 4.62 2.04 0.92 0.26 1.22 Men 0.37 1.49 1.09 0.97 0.23 0.40 For men it was the highest in the following ages of 20-29.In general, age-specific divorce rate for women were much higher than that of men almost in all age group. The data on age-specific separation rate by sex with their age groups is shown in table 3.12.2. The age patterns are similar to the age patterns for divorce rates. Table 03.12.2: Age‐specific separation rate by age group and sex, 2005‐2010 Age group 15-19 20-24 25-29 30-34 35+ Total 2005 Women 0.77 0.83 0.57 0.18 0.12 0.80 Men 0.41 0.70 0.74 0.39 0.17 021 2007 Women 0.58 1.98 0.52 0.23 0.33 0.44 Men 0.16 0.32 0.26 0.12 0.08 0.17 2009 Women Men 0.78 0.09 1.14 0.35 0.55 0.46 0.39 0.32 0.14 0.11 0.37 0.15 2010 Women 0.71 1.08 0.57 0.52 0.19 0.33 Men 0.19 0.41 0.33 0.21 0.17 0.15 Source: Report on Sample Vital Registration System 2010, BBS 3.13 Contraceptive Prevalence Rate In Bangladesh, contraceptive use has risen over the years. The Contraceptive Prevalence Rate (CPR) according to the year and residence is shown in table 3.13.1. It is evident from the table that there was increasing trend of CPR over time. At national level, it was 39.7% in 1990 and rose to 56.7% in 2010. Table 03.13.1: Trends in contraceptive use by year and residence, 1990‐2010 (current user) (In percentage) Year 1990 1995 2001 2005 2010 National 39.7 48.7 53.9 57.0 56.7 Rural 38.6 43.9 52.7 55.2 55.3 Urban 46.8 57.1 59.1 60.4 60.9 Source: Report on SVRS, 2010, BBS It is also observed that CPR was considerably higher in urban area as compared to rural area. Use of contraceptive (any method) by age of mother is shown in the following table 3.13.2 Table 03.13.2: Age specific contraceptive use , 2005‐2010 (current user) Age- group 15-19 20-24 25-29 30-34 35-39 40-44 45-49 Total 2005 35.6 52.6 61.3 60.7 56.9 44.4 27.5 52.5 2007 34.46 53.48 63.57 64.37 60.44 47.76 31.49 55.0 Source: Report on SVRS, BBS 30 2010 42.64 52.91 69.41 64.43 62.64 54.25 45.67 56.7 The table shows that according to the SVRS-2010 survey among the currently married women, 56.7% reported using family planning methods before interview. Women of age group 30-34 years had the highest use rate (64.43%) followed by the age group 35-39 years (62.64.8%). Lowest user of contraceptive was in the age group 15-19 years (42.64%). Table 03.13.4: Contraceptive prevalence rate by methods and residence, 2008–2010 Method Total Any method Any modern method Oral pill Injection Female sterilization IUD 2005 Rural 57.0 51.7 35.5 7.8 1.7 0.8 Condom Men sterilization 5.2 0.2 Traditional method 5.5 2007 Rural 55.5 60.6 55.0 53.8 50.6 55.6 51.8 51.1 Modern method for female 35.1 37.9 34.5 34.6 8.0 6.5 10.3 10.7 1.7 1.6 1.9 2.0 0.6 0.7 0.8 0.7 Modern method for male 4.9 7.6 4.4 3.0 0.2 0.3 0.3 0.3 4.9 Urban Total 6.0 3.3 2.8 Urban Total 57.0 53.0 56.7 54.8 2010 Rural 55.3 53.3 34.3 9.5 1.7 0.8 34.4 12.7 2.0 0.8 33.8 12.9 2.0 0.9 35.7 11.9 2.0 0.7 6.7 0.3 3.8 0.4 2.7 0.4 7.0 0.3 4.1 2.0 1.8 2.4 Urban 60.9 58.5 Source: Report on SVRS, 2010, BBS Current use of family planning methods and urban-rural differentials to the year 2005-2010 has been shown in table 3.13.4. The table contains data on CPR of currently married women showing variations between urban and rural levels. It is apparent from the table that the overall rate of current use was higher in urban area than in rural area in 2005 and in 2010. 31 32 CHAPTER 4 Health and Nutrition The importance of nutrition to achieve optimal health is unquestionable. Balanced nutrition is central to maintain good health in a dilapidated environment, fight against disease, correct imbalances in the body and provide energy and enthusiasm for life. This chapter deals with the data on crude death rate (CDR), Age Specific Death Rate (ASDR), Infant Mortality Rate, (IMR) Neonatal Mortality Rate (NMR), Post Neonatal Mortality Rate (PNMR), Child Mortality Rate (CMR), Maternal Mortality Ratio (MMR), causes of death, children and mother’s nutritional status, immunization and vitamin-A supplement etc. 4.01 Crude Death Rate Crude Death Rate (CDR) by sex and area are shown in table 4.01. There has been steady decline in CDR for both women and men from 1981 till 2010. It is also observed that at the national level CDR was higher for men 6.2 compared to women 5.0 per 1000 population in 2010, observed in both rural and urban areas. Table 04.01: Crude death rate per 1000 population by sex and residence, 1981‐2010 Year National Rural Urban Women Men Women Men Women Men 1981 1985 1990 1995 2000 2005 2010 11.5 12.2 11.0 8.9 4.6 5.1 5.0 11.6 11.9 11.4 8.6 5.1 5.6 6.2 12.3 12.9 11.7 8.8 4.7 5.4 5.2 12.1 13.0 11.9 9.3 5.7 6.7 6.3 7.0 7.9 7.7 6.5 3.4 4.1 4.2 7.5 8.7 8.0 6.9 3.6 5.7 5.7 Source: Report on Sample Vital Registration System, BBS 4.02 Age‐Specific Death Rate Age-Specific Death Rate (ASDR) for 2008 and 2010 by sex and area are shown in table 4.02. Death rates have declined up to ages 40-44 years for both men and women but appear to have increased for older ages. It is observed from the table that ASDR was higher for women as compared to men in the age group 5-9, 15-19 and 20-24 in 2010. The higher mortality rate in the age groups 15-19 and 20-24 for the women may be due to early marriage and maternal mortality. Table 04.02: Age‐specific death rate per 1000 population by sex and residence, 2008 & 2010 Age group National Rural Urban Women Men Women Men Women Men 2008 00 01 02 03 04 49.95 7.15 2.82 2.55 2.14 48.03 6.22 5.49 2.72 1.91 50.24 6.16 3.15 2.77 2.21 33 51.74 6.34 4.80 3.17 2.41 46.90 10.63 1.65 1.86 1.89 39.51 6.18 7.95 1.27 0.32 Age group National Women Men Rural Women Men 3.55 1.44 0.70 1.19 1.18 1.45 2.06 2.02 3.10 3.76 6.41 8.71 17.83 29.86 46.57 62.20 126.98 3.94 1.66 1.04 1.31 1.28 1.04 1.74 2.46 3.75 4.81 9.16 13.52 23.95 35.54 58.77 83.10 130.00 3.49 1.58 0.76 1.18 1.31 1.58 2.28 2.09 3.49 3.32 7.36 8.90 18.36 30.44 43.79 63.97 125.97 2010 34.45 2.91 2.55 1.78 1.46 2.13 1.05 0.92 1.07 1.39 1.41 1.00 1.80 2.80 4.05 9.94 12.79 21.39 30.96 46.60 86.73 127.68 Source: Report on SVRS, BBS 41.63 3.99 2.38 1.54 2.06 2.44 0.87 1.29 1.00 1.10 1.66 1.74 1.87 2.89 5.19 10.14 14.00 24.26 37.54 51.02 88.14 141.17 35.05 3.19 2.56 1.93 1.78 2.33 1.18 0.96 1.21 1.53 1.57 1.12 1.86 2.80 3.98 10.61 11.66 21.68 30.81 45.36 81.75 127.48 1-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ 00 01 02 03 04 1-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ 34 Urban Women Men 4.14 2.00 1.09 1.42 1.25 1.05 1.94 2.79 4.21 4.97 10.24 13.80 23.60 36.36 57.16 80.86 136.16 3.76 0.99 0.53 1.20 0.85 1.13 1.46 1.84 1.98 5.04 3.28 8.05 12.16 27.66 58.17 66.83 131.08 3.28 0.50 0..84 0.97 1.38 1.38 1.02 1.64 2.56 4.37 6.05 12.71 25.10 32.38 65.25 92.46 102.36 45.12 4.46 2.74 1.72 2.24 2.73 0.98 1.23 0.98 0.95 1.84 2.03 1.65 2.73 5.21 10.67 14.14 25.04 38.54 49.55 84.31 143.22 32.73 2.10 2.51 1.31 0.51 1.57 0.68 0.82 0.67 0.98 0.94 0.63 1.63 2.79 4.25 7.99 16.05 20.55 31.39 50.18 101.18 128.26 31.51 2.61 1.33 1.02 1.53 1.59 0.57 1.47 1.06 1.52 1.14 0.90 2.52 3.36 5.14 8.63 13.58 22.00 34.64 55.28 99.27 135.22 4.03 Neonatal Mortality Rate Neonatal Mortality Rate (NMR) is defined as the number of deaths of infants before attaining age of one month per 1000 live births in a given year. Neonatal mortality rate per 1000 live births by sex and area for the year 1981 to 2010 has been shown in table 4.03. It is apparent from the table that neonatal mortality rates for both girls and boys have declined. Table 04.03: Neonatal mortality rate per 1000 live births by sex and locality for 1981‐2010 Year National Rural Urban Girls Boys Girls Boys Girls Boys 1981 72 89 73 90 81 62 1985 60 67 62 67 73 45 1990 62 71 64 73 51 44 1995 50 64 54 58 37 35 2000 39 41 41 45 29 28 2005 30 36 31 39 28 28 2010 24 28 23 29 26 25 Source: SVRS, BBS In case of girls at the national level, the neonatal mortality rate has declined from 72 in 1981 to 24 in 2010 and that in case of boys, it has declined from 89 to 28 during the same period, the decline being greater for girls, especially in urban areas. 4.04 Post Neonatal Mortality Rate Post neonatal mortality rate is also a mortality index of infants defined as the death rate of child per 1000 live births in a year for children of age 1 month to 11 months. Table 4.04 shows the post neonatal mortality rate per 1000 live births by sex and residence for the year 1981-2010. Table 04.04: Post neonatal mortality rate per 1000 live births by sex and residence, 1981‐2010 Year National Rural Urban Girls Boys Girls Boys Girls Boys 1981 37 24 38 24 31 24 1985 49 47 50 48 43 36 1990 29 27 29 28 24 22 1995 20 19 24 22 17 17 2000 18 17 19 18 16 15 2005 17 16 17 16 15 17 2010 11 10 12 10 10 9 Source: Report on SVRS, 2010 BBS At the national level, the post neonatal mortality rates for both girls and boys have declined. Such rate also declined for urban and rural areas during the same period. Declines in both neonatal and post neonatal death rates have been somewhat greater for girls compared to boys. 35 4.05 Infant Mortality Rate Infant mortality rate, the death of babies before one year of age per 1000 live births by sex and residence for the year 1981-2010 is shown in table 4.05. It is observed from the table that the infant mortality rate at the national level for both girls and boys has declined over the years. Table 04.05: Infant (<1 year) mortality rate per 1000 live births by sex and residence, 1981‐ 2010 Year National Rural Urban Girls Boys Girls Boys Girls Boys 1981 109 113 111 114 93 105 1985 109 114 112 115 87 109 1990 91 98 93 101 68 73 1995 70 73 76 80 52 55 2000 57 59 62 63 43 45 2005 47 52 48 54 43 45 2010 35 38 35 39 36 35 Source: Report on SVRS, 2010 BBS The infant mortality rate of boys is higher than that of girls, and the female advantage has persisted over time. It is also evident from the table that IMR was higher in the rural area compared to the urban area, where the female advantage is relatively less 4.06 Child Mortality Rate The child mortality rate is the number of deaths between the ages of 1-4 years, excluding infant mortality. The data on child mortality rate by sex and area is shown in table 4.06. It is apparent from the table that the child mortality rate for both girls and boys has declined significantly since 1981. Table 04.06: Child mortality rate (1‐4 years) by sex and residence, 1981‐2010 Year National Rural Urban Girls Boys Girls Boys Girls 1981 18.0 15.6 18.8 16.3 10.3 1985 16.4 14.0 16.8 14.5 11.9 1990 14.8 13.4 15.7 14.2 8.2 1995 12.2 12.7 12.5 12.1 7.4 2000 4.7 4.0 5.0 4.2 4.4 2005 4.0 4.1 4.6 4.4 2.0 2010 2.3 3.0 2.4 3.3 1.9 Source: SVRS, BBS Boys 8.5 9.0 8.5 7.8 3.6 3.2 2.2 While child mortality was higher for girls than for boys until the early 1990s, the gender gap has disappeared, may even have reversed, since the mid 1990s. As in the case of other mortality rates, there is the usual rural urban difference with higher mortality in rural areas. 36 4.07 Under 5 Mortality Rate Under-5 mortality rate is the number of deaths to children under 5 years of age per 1000 live births in the given year. The data on under-5 mortality rate by sex and area is shown in table 4.07. It is evident from the table that under-5 mortality rate for both girls and boys have declined significantly. Table 04.07: Under 5 mortality rate per 1000 live births by sex and residence, 1982‐2010 Year Girls 1982 214 1985 172 1990 149 1995 121 2000 84 2005 65 2010 43 Source: SVRS, BBS National Rural Boys 211 169 154 128 86 70 50 Girls 224 176 155 128 89 68 43 Urban Boys 218 172 160 133 91 73 52 Girls 106 127 96 81 54 52 43 Boys 137 135 103 85 56 60 44 4.08 Maternal Mortality Ratio The maternal mortality ratio is defined as the number of total deaths of women due to complications of pregnancy, childbirths and puerperal per 1000 live births during a year. Maternal Mortality Ratio (MMR) is a very important mortality index of mother who is exposed to the risk of death during childbirth. The data on maternal mortality ratio by residence are shown in table 4.08. Table 04.08: Maternal mortality ratio by residence, 1986‐2010 Year National Rural 1986 1989 1992 1995 1998 2001 2004 2007 2010 Source: SVRS, BBS 6.48 5.08 4.68 4.47 3.23 3.15 3.65 3.51 2.16 6.69 5.78 4.80 4.52 3.36 3.26 3.87 3.86 2.30 Urban 5.79 4.60 3.98 3.80 2.85 2.58 2.53 2.19 1.78 It is observed from the table that at the national level the maternal mortality ratio has decreased from 6.48 in 1986 to 2.16 in 2010 nationally, with relatively greater decline in the urban areas. Whereas in Maternal Mortality Survey it was found that maternal mortality ratio has decline from 322/100,000 live births to 194/100,000 live birth between BMMS 2001 to BMMS 2010 respective. 37 4.09 Causes of Maternal Death At the national level, hemorrhage after delivery was the leading cause of maternal mortality, which was 27.2 % of total maternal deaths in 2010 and 23.4 % in 2009. The second cause 20.7% in 2010 and 19.5% in 2009 occurred due to one of the reasons for prolonged labour/retained placenta/prolapsed cord/ lacerations /tear. Table 04.09: Distribution of causes of maternal mortality by residence, 2009 and 2010 Causes Total Complicated pregnancy/ Convulsion/Eclamsia Complicated child birth/ Retained placenta/Prolonged labour/ Prolapsed cord/Lacerations/Tear hemorrhages after delivery Complicated abortion Hemorrhages during pregnancy Tetanus National 2010 Rural Urban National 2009 Rural Urban 100.0 6.8 100.0 6.3 100.0 8.3 100.0 11.7 100.0 13.1 100.0 6.3 20.7 25.0 8.3 19.5 19.7 18.8 27.2 15.9 15.8 13.7 25.0 15.6 12.5 15.6 33.3 16.7 25.0 8.3 23.4 19.5 13.0 13.0 24.6 14.8 13.1 14.8 18.8 37.5 12.5 6.3 Source: Report on SVRS, 2010, BBS The pattern of causes of maternal death varies by rural urban residence. In rural areas, complicated childbirth and tetanus are more important while in urban areas hemorrhages is more important. 4.10 Principal Causes of Death The data on principal causes of death for women and men are shown in table 4.10. It is evident from the table that death due to blood pressure, heart diseases and tumor/cancer has been increased over time. In case of blood pressure, it was higher for men as compared to women. Table 04.10: Principal causes of death per 100,000 populations by sex and residence, 2004‐ 2010 Residence Sex Cases of death Fever Blood pressure, Old age Asthma Others Tumor Suicide, complication respiratory disease cancer poisoning disease Heart disease 2004 National Rural Urban Women 52.0 39.7 98.1 63 66.5 22 28.1 Men 55.1 80.8 98.3 112 90.1 30 41.9 Women 57.1 36.5 106.5 68.6 71.9 23.4 29.9 Men 58.5 76.3 105.8 114.6 94.2 31.4 43.4 Women 30.2 53.2 61.9 37.8 43.5 15.9 20.8 Men 40.9 100.0 66.0 101.0 72.5 23.8 35.5 38 Residence Sex Cases of death Fever Blood pressure, Old age Asthma Others Tumor Suicide, complication respiratory disease cancer poisoning disease Heart disease 2006 National Rural Urban Women 41.1 54.2 104.7 78.1 11.2 26.3 41.3 Men 46.3 97.5 90.1 102.8 10.6 41.9 49.4 Women 46.5 49.1 114.2 85.7 12.3 26.2 47.4 Men 52.5 90.2 97.8 115.7 12.7 42.8 52.7 Women 24.8 69.8 75.9 55.3 8 26.9 22.8 Men 26.9 120.2 65.8 62.5 4.3 39.2 39.1 2007 National Rural Urban Women 36.2 61.9 122.4 77.9 17.3 34.5 36.7 Men 42.0 122.0 102.2 129.1 21.1 54.2 52.3 Women 41.1 61.7 126.8 83.8 18.9 36.2 40.1 Men 48.4 124.3 102.5 143.8 25.4 55.7 57.2 Women 21.5 62.5 109.2 60.2 12.2 29.4 26.5 Men 22.3 145.7 100.2 84.2 8.2 49.9 37.1 2010 National Rural Urban Women 24.7 76.76 102.8 41.24 60.5 42.9 29.6 Men 27.1 130.1 102.7 66.0 78.9 48.8 47.6 Women 29.8 75.3 108.0 49.4 65.4 42.9 31.8 Men 33.6 105.5 113.6 77.5 85.1 47.4 54.4 7.8 39.6 46.9 13.4 26.0 21.4 12.9 15.6 174.1 83.3 45.4 67.6 51.5 35.3 Women Men Source: Report on SVRS, 2010, BBS In case of women at the national level in 2010, old age complication was the principal cause of death (102.8) per 100,000 population followed by asthma and respiratory problem (41.24) and blood pressure and heart disease (76.76). In case of men, asthma respiratory disease (66.0) was the principal cause of death followed by blood pressure, heart diseases (130.1) and old age complication (102.7). 4.11 Percentage Distribution of Death by Causes Percentage distributions of deaths by causes, sex and residence for the year 2010 are shown in table 4.11. It is evident from the table that at the national level, among the women, the highest percentage of deaths due to old age (21.1%) followed by heart diseases (13.6%) and asthma, respiratory diseases (8.7%) in 2010. 39 Table 04.11: Percentage distribution of death of causes by sex and residence, 2010 Causes of death Chickenpox, Measles, Polio Fever: Malaria, Typhoid, Influenza, Dengue, Other fever Jaundice Diarrhea, Cholera Dysentery Tuberculosis, Water lungs Asthma, Respiratory disease Pneumonia High blood pressure Heart disease, Stroke, Brain hemorrhage Diabetes Rheumatism, Rheumatic fever Paralysis Diphtheria/Meningitis Peptic ulcer Malnutrition Tumor, Cancer Skin disease, Leprosy, Arsenic Pregnancy related problem Tetanus Suicide, Murder, Burn, Snakebite, Poisoning, Drowning, Other accident Mental disease, Drug abuse, Epilepsy, Mrigi Old age ENT disease Gonorrhea, HIV, Aids Appendicitis, Kidney problem Other diseases National Women Men Rural Women Men Urban Women Men 0.6 5.1 0.6 4.6 0.6 5.7 0.5 5.3 0.7 3.7 0.9 2.7 1.7 1.8 0.7 1.3 8.7 4.8 2.3 13.6 1.4 1.0 0.6 0.4 1.0 1.9 8.7 0.4 1.0 0.3 6.3 1.9 1.1 0.6 1.3 11.1 4.7 2.8 18.4 1.3 0.7 0.8 0.4 0.2 1.2 7.8 0.3 0.0 0.0 8.0 2.0 2.0 0.7 1.5 9.5 4.6 2.5 12.3 1.4 0.9 0.8 0.3 1.2 2.0 8.3 0.4 1.1 0.4 6.3 2.0 0.9 0.7 1.2 12.2 4.8 3.0 14.5 1.1 0.6 1.1 0.5 0.3 1.1 7.5 0.4 0.0 0.0 8.6 1.1 1.3 0.6 0.6 6.3 5.4 1.9 17.7 1.7 1.2 0.1 0.5 0.4 1.9 10.1 0.2 0.8 0.1 6.3 1.6 1.5 0.4 1.6 7.9 4.2 2.3 29.8 2.0 0.8 0.4 0.0 0.2 1.2 9.0 0.2 0.0 0.0 6.2 1.0 21.1 0.2 0.2 1.6 11.6 1.6 17.0 0.2 0.1 1.8 11.3 1.1 20.8 0.3 0.2 1.4 11.6 1.8 17.9 0.2 0.1 1.8 12.0 0.8 22.2 0.0 0.1 2.1 11.6 1.2 14.5 0.2 0.2 1.8 9.3 Source: Report on SVRS, 2010, BBS On the other hand, among the men the highest percentage of death was due to heart disease 18.4% followed by old age 17.0% and asthma, respiratory diseases 11.1%. There exists variation in rural and urban area and between women and men. It is observed from the table that death due to asthma, respiratory disease was higher in the rural area than its urban counterpart for both women and men and it was higher for women compared to men. On the contrary, deaths due to blood pressure, heart disease, stroke was higher in the urban area than rural area for both women and men but it was higher for men as compared to women. 4.12 Expectation of Life Expectation of life at birth is the average number of years of life remaining at beginning, i.e. ‘0’ year of age. It is computed on the basis of the assumption on age specific mortality experience. Table 4.12 shows the expectation of life at birth by sex and residence for the year 1981 to 2010. 40 Table 04.12: Expectation of life at birth by sex and residence, 1981‐2010 Year 1981 1985 1990 1995 2000 2005 2010 National Women Men 54.5 55.3 54.6 55.7 55.6 56.6 58.1 58.4 63.5 63.7 65.8 64.4 68.8 66.6 Rural Women 53.9 54.1 54.9 57.7 62.7 65.6 68.6 Urban Men 54.9 55.3 56.0 57.3 61.7 63.5 66.4 Women 60.5 60.5 59.7 60.9 65.4 68.1 69.5 Men 59.8 59.9 60.3 61.5 65.2 67.6 68.3 Source: SVRS, BBS It is evident from the table that expectation of life at birth for women was higher than that of men by 2.2 percentage points in 2010. Expectation of life at birth for men and women were also higher over the years in the urban area as compared to rural area. It is also observed from the table that expectation of life at birth with the current mortality experience of 2010 has increased by 14.3 percentage points for women and by 11.3 percentage points for men as compared to those of 1981. Similar increasing trend in expectation of lives had taken place in rural and urban areas for both men and women. 4.13 Abridged Life Table A life table is a table, which shows, for each age, what the probability is that a person of that age will die before his or her next birthday. For this table, the period of life expectancy at a given age represents the average number of years of the life remaining of a group of persons at that age were to experience the mortality rates for 2010 over the course of their remaining life. In 2010, the over all men expectation of life at birth was 66.6 years, representing an increase of 0.5 years from life expectancy in 2009. 41 Table 04.13: Abridged life table for Bangladesh population by sex, 2010 Both Age Probability of dying Number of surviving Men Expectation of life Probability of dying 67.74 69.40 68.64 67.80 66.92 70.01 66.64 61.95 57.28 52.57 47.88 43.23 38.50 33.83 29.28 24.92 21.09 17.38 14.19 11.38 8.85 7.41 0.04056 0.00398 0.00238 0.00154 0.00206 0.00971 0.00434 0.00643 0.00499 0.00548 0.00827 0.00866 0.00931 0.01435 0.02820 0.04506 0.06945 0.11694 0.17172 0.22675 0.37021 1.00000 Number of surviving Women Expectation of life Probability of dying Number of surviving 0.03411 0.00291 0.00255 0.00178 0.00146 0.00848 0.00524 0.00459 0.00534 0.00693 0.00703 0.00499 0.00896 0.01390 0.01681 0.05234 0.05910 0.09859 0.14389 0.20813 0.34683 1.00000 100000 96589 96309 96063 95892 95752 94940 94443 94010 93508 92860 92208 91748 90926 89662 88155 83541 78603 70854 60658 48034 31374 Expectation of life National 0 1 2 3 4 1-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ 0.03744 0.00345 0.00246 0.00165 0.00176 0.00912 0.00479 0.00553 0.00519 0.00623 0.00762 0.00668 0.00916 0.01415 0.02313 0.04978 0.06469 0.10830 0.15821 0.21775 0.35891 1.00000 100000 96256 95924 95688 95530 95363 94493 94040 93520 93035 92455 91751 91138 90303 89026 86967 82637 77292 68921 58017 45384 29095 100000 95944 95562 95335 95188 94992 94070 93661 93059 92595 92087 91326 90535 89692 88405 85913 82041 76343 67416 55839 43177 27193 66.64 68.71 67.98 67.14 66.24 69.36 66.02 61.30 56.68 51.95 47.22 42.59 37.95 33.28 28.73 24.49 20.52 16.87 13.77 11.11 8.63 7.24 68.79 70.24 69.44 68.62 67.74 70.82 67.41 62.75 58.03 53.33 48.68 44.01 39.22 34.55 30.00 25.47 21.74 17.95 14.64 11.68 9.09 7.59 Source: Report on SVRS, 2010, BBS 4.14 Infant and Young Child Feeding Infant and young child feeding practices are key to the survival, health, growth and development of children. Infants should be breastfed immediately after delivery (within one hour); given no prenatal feeds; exclusively breastfed for the first six months of life; and given complementary foods from six months of age with continued breastfeeding up to 2 years of life. Table 04.14: Percentage of breast‐feeding of infant and young children by residence, 2006 Indicator Children 0-3 months: Exclusive breast feeding Children 0-5 months: Exclusive breast feeding Children 6-9 months: Breastfed and solid food Children 12-15 months: Breastfed Children 20-23 months: Breastfed National Girls Boys 51.5 48.0 39.0 36.0 53.2 50.3 96.6 94.4 90.0 88.4 Rural Girls Boys 51.3 49.0 40.0 35.5 55.9 50.8 97.8 96.3 90.4 89.7 Girls 51.3 34.2 44.3 93.0 88.7 Urban Boys 44.9 36.0 49.1 88.3 85.1 Source: Multiple Indicator Cluster Survey -2006, BBS The table provides information on reported breastfeeding and complementary feeding practices. 39.0% of girls aged < 6 months compared to 36% boys at the same age were exclusive breastfed. The exclusive breastfeeding rate (EBR) for girls and boys declined from age 0-3 months to age 0-5 months. 42 More than 53% girls and 50% boys were given timely complementary feeding at 6-9 months of age. More than 96% girls and 94% boys were breastfed at 12-15 months of age and 90.0% girls and 88% boys were still breastfed at 20-23 months of age. There was no significant difference between rural and urban areas in any of these indicators. 4.15 Child Nutrition Status Children nutritional status is a reflection of their overall health. Malnutrition is associated with more than half of all children deaths worldwide. Improving nutrition particularly in the recent years is crucial towards meeting the Millennium Development Goals (MDGS). The following table14.15 shows the prevalence of malnutrition in children aged <5 years (WHO, 2005 GRS) by sex and residence. Table 04.15: Prevalence of malnutrition (WHO 2005 GRS) in children aged <5 years by sex and area of residence, 2000‐12 Indicator National(%) Rural(%) Urban(%) Both Girls Boys Both Girls Boys Both Girls Boys 2000 Underweight (WAZ WHO<-2) 51.4 51.1 51.6 40.0 47.5 51.0 50.5 51.3 43.5 Stunting (HAZ WHO<-2) 47.5 49.9 47.8 41.3 29.4 48.2 48.9 48.8 34.9 Wasting (WHZ WHO<-2) 11.3 11.4 12.7 7.8 10.6 12.0 12.7 12.1 9.1 Obesity (BAZ WHO<-2) MUAC <125 mm 8.4 4.7 6.5 7.0 3.6 2005 Underweight (WAZ WHO<-2) 40.3 41.3 43.0 29.7 30.1 39.7 39.0 42.2 29.9 Stunting (HAZ WHO<-2) 47.1 48.2 49.4 33.7 38.0 46.2 45.3 48.8 35.9 Wasting (WHZ WHO<-2) 14.5 14.8 15.3 13.3 11.2 14.5 14.5 15.1 12.2 Obesity (BAZ WHO<-2) 1.6 1.2 1.6 1.0 1.4 1.9 1.4 1.3 1.6 MUACZ 27.7 28.4 30.1 18.1 18.5 27.1 26.5 29.3 19.3 MUAC <125 mm 5.6 3.2 6.2 3.4 2.7 2.2 4.3 4.8 2.4 2012 Underweight (WAZ WHO<-2) 38.6 30.6 39.8 27.5 35.1 34.4 29.9 35.2 31.7 Stunting (HAZ WHO<-2) 42.0 40.5 43.3 42.1 37.2 35.7 41.2 42.7 36.4 Wasting (WHZ WHO<-2) 15.7 11.0 16.2 10.8 14.2 13.4 10.9 13.6 12.6 Obesity (BAZ WHO<-2) 3.9 4.3 3.7 3.6 4.4 6.4 4.1 3.7 5.5 MUACZ 6.4 7.2 7.2 8.0 3.3 4.9 6.8 7.6 4.2 MUAC <125 mm 3.2 2.8 3.2 3.3 2.9 1.5 3.0 3.3 2.2 Source: Child and Mother Nutrition Survey of Bangladesh-2005, BBS and CNS-2011,BBS It is observed from the table 4.15 that at the national level among the girls the prevalence of underweight was 29.9%, which was lower than that of boys in 2012. The same trend was observed for the prevalence of stunting. It was 42.0% for the girls and 40.5% for the boys. In case of wasting, it was same,10.9% for the girls and 15.7 for the boys. According to criteria of the World Health Organization, the prevalence of underweight and stunting was “very high”, and the prevalence of wasting indicated a “critical problem”. 43 4.16 Low Birth Weight Low Birth Weight (LBW) is one of the most important determinants of infant survival. The prevalence of LBW in Bangladesh is believed to be amongst the highest in the world. Table 4.16 shows the prevalence of low birth weight by sex and residence for the year 2003-04. Table 4.16: Prevalence of low birth weight by sex and residence, 2003‐2004 Sex Prevalence of LBW ( birth weight< 2500g) Urban (%) National (%) Girls 31.4 37.9 Boys 26.6 33.3 All 29.0 35.6 Source: National Low Birth Weight Survey of Bangladesh, 2003-2004, BBS Rural (%) 38.8 34.4 36.7 Note: Includes infants whose birth weights are measured within 72 hours of birth. It is evident from the table that at the national level the prevalence of LBW was higher among girls (38%) than boys (33%) by five percentage points. The percentage of LBW was lower in urban areas compared to rural areas, but the gender gap persists. 4.17 Immunization Immunization plays a vital role in realizing the fourth MDG of reducing child mortality by two thirds between 1990 and 2015. Immunization has saved the lives of millions of children since the launch of the Expanded Programs on Immunization (EPI) in 1974. Table 4.17 shows the percentage of children aged 12-23 months immunized against BCG, DPT3, Polio3 and Measles by sex for the year 1995, 2006 and 2011. Table 04.17: Percentage of children aged 12‐23 months immunized against BCG, DPT3, Polio3 and Measles by sex, 1995, 2006 and 2011 Immunization HDS-1995 MICS-2006 BDHS-2011 Girls Boys Girls Boys Girls Boys BCG 71.1 71.1 96.3 97.7 97.6 98.1 DPT3 75.0 76.7 99.1 91.0 92.3 94.6 Polio3 75.9 75.7 95.6 95.5 92.5 94.3 Measles 73.8 73.9 86.5 88.5 86.8 88.3 Source: Multiple Indicator Cluster Survey 2006, BBS , BDHS 2011, NIPORT It is apparent from the table that at the national level 97.6% girls received BCG and for the boys it was 98.1% in 2011. In case of DPT3 the similar trend was revealed for both girls and boys. The coverage for measles vaccination was lower than for other immunization, 86.8% for girls and 88.3% for boys. 4.18 Vitamin A Supplement Vitamin A is essential for preserving eye sight and proper functioning of the immune system. Providing young children with two doses of vitamin ‘A’ capsule a year is a safe, cost-effective, efficient strategy for eliminating its deficiency and improving child survival. Table 4.18 shows the percentage distribution of children aged 9-59 months who received high doses of vitamin ‘A’ supplement. 44 Table 04.18: Percentage distribution of children received high doses of vitamin A supplement in the last 6 months by sex and residence, 2006 Residence Girls National Rural Urban 88.8 87.9 91.5 National Rural Urban 59.5 60.1 57.5 Boys 2006-MICS 89.6 88.6 92.4 2011-BDHS 59.0 - Both sex 89.2 88.3 92.0 60.0 - Source: Multiple Indicator Cluster Survey 2006, BBS, BDHS, 2011, NIPORT It is observed from the table that at the national level, among the girls percentage of vitamin A supplement was slightly lower as compared to boys. There exists a slight variation in urban and rural areas. There appears to be a large drop in Vitamin supplementation from 2006 to 2011. 4.19 Antenatal Care The antenatal period presents important opportunities for reaching pregnant women with a number of interventions that may be vital to their health and well being and that of their infants. Coverage of antenatal care (by a doctor, nurse or midwife) is relatively low in Bangladesh. Table 4.19 shows the type of personnel providing antenatal care to mothers aged 15-49 who give birth in the three years preceding the survey. It is observed from the table that about 91.3 percent of the surveyed mothers received at least two doses of tetanus-toxoid vaccine during their previous pregnancy in 2011. Table 04.19: Percentage distribution of mothers aged 15‐49 who gave birth in the three years preceding the survey by receiving antenatal care, 2004, 2007 and 2011. Indictors 1. Antenatal coverage 2. TT coverage 3. Post natal care 4. Antenatal care provider Medical doctor Nurse/ Midwife MA/SACMO/HA/FWA Trained birth attendant Un-trained birth attendant Other Source: 2004 BDHS 50.5 19.3 2007 BDHS 53.4 90.7 23.4 2011 BDHS 54.8 91.3 29.0 31.3 17.4 3.5 0.1 2.6 1.0 35.5 15.7 0.5 0.0 8.6 - 43.1 16.1 0.7 0.3 0.2 0.1 BDHS, NIPORT and MICS,BBS It is observed from the table that antenatal coverage increased between 2004 and 2007, but not much between 2007 and 2011. Coverage of post natal care was also increased visibly. The use of trained provider for antenatal care, especially medical doctor, had increased, but use of trained midwife or community health provider had not increase. 45 4.20 Delivery Care Three quarters of all maternal deaths occur during delivery and the immediate post partum period. Table 4.20 shows the percentage distribution of women aged 15-49 with a birth in the two years preceding the survey, by type of personnel assisting with the delivery and place of delivery, 2006, 2007, 2009 and 2011. Table 04.20: Percentage distribution of women aged 15‐49 with a birth in the two years preceding the survey by type of personnel assisting during delivery and their place of delivery, 2006,2007, 2009 and 2011. Delivery care MICS 2006 BDHS 2007 MICS 2009 BDHS 2011 1. Assistance during delivery Medical doctor Nurse/midwife Traditional birth attendant Community health work Relative/ friend Other Any skilled personnel 15.5 4.6 66.0 1.0 11.2 1.0 20.1 12.7 5.2 10.8 0.1 6.1 0.0 - 20.5 3.8 58.4 0.9 14.5 1.8 24.4 22.2 8.9 11.2 0.3 3.8 52.9 - 2. Place of delivery Home delivery Govt. health centre Private(NGO) health centre Others 82.2 7.4 8.6 1.8 85.0 7.1 7.6 0.3 - 71.0 11.8 17.0 0.2 Source: MICS, 2006, BBS, BDHS 2007 and 2011 Report, NIPORT In 2006, any skilled personnel helped in delivery only 20.1 percent of births. Only 4.6 percent of the births were delivered with the assistance of a nurse or midwife. In 2009, the assistance of skilled birth attendance increased to 24.4%. Doctors assisted at the time of delivery of 20.5 percent of births, while a traditional birth attendant delivered 58.4 percent of birth born in the two year period prior to the survey interview, Relatives and friends were used in 14.5 percent of deliveries. It is also apparent from the table that in 2011, 11.8% births were occurred in the Govt. health centers and 17.0% at the NGO health centers while 71.0% occurred in the home. Home delivery was 82.2% in 2006 which substantially reduced in 2011 (71.0%). Delivery at health facility, that is Govt. and NGO health centers also increased over the period. 46 CHAPTER 5 Morbidity and Health Services Morbidity is another term of illness. It is a very important index to know about the health status of the individuals. Access to health care facilities is a basic need for women and men of the society. Morbidity and health service related data obtained from different surveys have been presented in this chapter. 5.01 Population Suffered from Diseases The distribution of population who suffered from diseases during the last 12 months by sex and residence has been shown in table 5.01 along with past 10-year trend. The trend shows that even if there have been significant improvements in various diseases like Gastric Ulcer, Chronic fever, Chronic dysentery, and Eczema, it has actually increased in other diseases like Rheumatic fever, Blood pressure, Respiratory diseases, Chronic heart disease, and Diabetes. Several diseases are more prominent among men rather than women, like respiratory diseases, Injury/disability, and Diabetes. Whereas some others are more prominent among women, like: Blood Pressure and Rheumatic Fever. Table 05.01: Distribution of population suffered during last 12 months from chronic diseases by sex and residence, 2000& 2010 Percent of population suffered Type of illness 2000 2005 2010 Women Men Women Men Women Men Chronic fever 4.41 4.56 3.19 3.80 2.56 3.18 Injury/disability 3.43 4.64 2.23 5.32 2.98 5.00 Chronic heart disease 3.01 3.54 4.67 5.03 7.23 7.46 Asthma/Respiratory disease 6.97 9.66 6.96 10.10 7.70 10.22 Chronic dysentery 1.66 2.78 1.19 2.68 1.13 1.88 Gastric/Ulcer 27.13 29.85 26.04 27.10 24.23 23.77 Blood pressure 8.42 4.24 11.30 7.26 12.91 7.76 Rheumatism/Rheumatic fever 14.56 10.62 12.29 8.54 16.22 11.42 Eczema 1.75 2.01 2.63 2.25 1.60 1.58 Diabetes 2.26 3.94 3.21 4.13 4.29 6.70 Cancer 0.41 0.22 0.53 0.29 Leprosy 0.16 0.40 0.25 0.50 Paralysis 1.22 2.25 1.93 2.56 Epilepsy 0.56 0.41 0.34 0.53 Other 26.41 24.15 23.87 20.43 16.11 17.16 Source: Household Income & Expenditure Survey-2010, BBS 5.02 Average Duration of Ailment by Types of Disease Average duration (in months) of ailment by sex for different diseases has been presented in table 5.02 along with past 10-years trend. It is observed from the table that, in 2010, at the national level average duration of ailment for women was 77 months and for men it was 86 months for all types of disease. There has been significant improvement (decrease in duration) in several diseases among women, like Chronic fever, Chronic dysentery, and Gastric/Ulcer. However, though Chronic fever has also improved for Men, the other two have actually deteriorated slightly for Men. One disease where the duration has increased alarmingly is Eczema. Men have significantly higher duration in several diseases like: Injury/Disability, Chronic dysentery, Gastric/Ulcer, and some others. 47 Table 05.02: Average duration of ailment by sex, residence and type of diseases suffered in the last 12 months, 2005 and 2010 Type of ailment 2000 Women Chronic fever Injury /disability Chronic heart disease Asthma / Respiratory diseases Chronic dysentery Gastric / Ulcer Blood pressure Rheumatism/Rheumatic fever Eczema Diabetes Cancer Leprosy Paralysis Epilepsy Others Total 62 68 71 106 89 85 75 75 59 65 70 77 Average duration of ailment (months) 2005 2010 Men Women Men Women 51 64 62 117 84 90 73 95 73 71 77 84 27 41 67 103 52 74 68 82 77 72 42 140 49 200 66 72 48 43 66 106 93 100 68 94 87 69 14 78 90 219 81 85 39 61 77 109 58 78 78 74 95 81 58 80 86 109 67 77 Men 40 83 72 104 96 92 74 84 104 72 57 133 110 199 81 86 Source: Household Income & Expenditure Survey-2010, BBS 5.03 Method of Treatment The ailing persons suffered from different types of diseases and received treatment from health care service provider, such as, doctors, health workers, compounders, hekim, fakir, etc. The table 5.03 shows the method of treatment adopted by the ailing persons for illness along with past 10 year trend. Most people receive treatment from Pharmacy/Dispensary/Compounder, followed by Private Doctor, and Govt. Doctor involved in private practice. Though this has remained the same since 2000, there has been significant shift towards Govt. Doctor (Govt. Institution) whose percentage has increased from around 6.5% to around 9.5%. There has been a significant decreasing trend in Govt. Health Worker, Homeopathic Doctor, and Kabiraj/Hekin/Ayurbed. Major disparity cannot be observed between the two sex in this context, only reliance on Kabiraj/Hekim/Ayurbed is higher among men than women which was the other way round previously. 48 Table 05.03: Percent of treatment recipient by sex, residence and type of treatment, 2005 and 2010 Type of treatment Govt. Health Worker NGO Health Worker Homeopathic Doctor Kabiraj/Hekim/Ayurbed Peer/Fakir/Tactric/Baidya Govt. Doctor (Govt. Institution) Govt. Doctor (Private Practice) NGO Doctor Private Doctor Pharmacy/Dispensary/ Compounder Family Treatment Self Treatment Others Percent of treatment recipient 2000 2005 2010 Women Men Women Men Women 4.08 3.54 0.97 1.20 2.43 0.55 0.33 0.36 0.16 0.43 5.37 4.37 5.22 4.21 3.68 2.08 1.87 1.17 1.60 0.75 0.26 0.41 0.12 0.24 0.32 6.47 6.68 8.01 7.10 9.41 Men 2.38 0.31 3.18 1.28 0.40 9.14 16.00 0.58 23.42 38.01 15.45 0.40 24.85 38.39 16.36 0.52 24.23 36.91 13.82 0.38 24.49 40.52 15.16 0.20 24.54 39.20 13.43 0.20 24.37 41.35 3.20 3.70 0.72 0.45 4.95 0.63 0.60 5.05 0.87 0.65 2.37 0.89 0.56 2.50 Source: Household Income & Expenditure Survey-2005 &2010, BBS 5.04 Childhood Illness and Treatment Three leading causes of morbidity among children in Bangladesh are acute respiratory infection, fever and diarrhea. These three types of illness of the children have been presented in the following section. Table 5.04.1 presents the prevalence of suspected pneumonia among the children aged 0-59 months who were taken to a health care provider. Nationally 5.3% of <5 children were reported to have had symptoms of pneumonia during the two weeks preceding the survey. Of these children, 30.1 percent were taken to an appropriate provider, with no observed sex difference. It is observed from the table 5.04.1 that the prevalence of pneumonia was slightly higher among boys (5.8%) than girls (4.9%). It is apparent from the table that there is also urban rural variation. Urban children are twice as likely to receive treatment by a health care provider as rural children. Table 05.04.1: Prevalence of children aged 0‐59 months with pneumonia and treatment taken from a health care provider, 2006 Background characteristics Age in months 00-11 12-23 24-35 36-47 48-59 Sex Boys Girls Residence Urban Rural Total Acute respiratory infection/ pneumonia Any appropriate provider 8.5 6.8 5.1 3.8 3.2 34.6 31.5 32.7 23.5 20.8 5.8 4.9 30.0 30.1 4.7 5.6 5.3 44.2 25.9 30.1 Source: Multiple Indicator Cluster Survey 2006, BBS 49 The following table 5.04.2 shows the prevalence of fever and acute respiratory infection (ARI) among under five children and treatment taken from a health facility or medically trained provider. Table 05.04.2:Prevalence of children <5 years with fever and ARI for whom treatment sought from a health facility or medically trained provider by age, sex and residence, 2004 and 2007. Background characteristics Age in months <6 6-11 12-23 24-35 36-47 48-59 Sex Boys Girls Residence Urban Rural Total Children with fever (%) 2004 Children with ARI (%) 40.9 47.3 49.0 41.4 35.1 31.4 28.3 29.5 24.9 20.0 15.7 14.9 26.5 27.9 23.4 18.9 8.9 16.2 38.3 48.7 43.8 39.6 31.4 32.3 16.2 19.6 15.3 13.4 10.0 8.7 30.0 22.1 33.1 31.0 30.9 17.6 40.8 39.3 22.0 19.6 23.3 16.8 38.6 37.9 13.3 12.8 29.8 26.3 40.7 39.9 40.1 19.3 21.1 20.8 35.4 16.8 20.3 36.3 38.7 38.2 9.9 13.9 13.0 46.8 24.6 28.1 Taken to health facility or provider (%) 2007 Children Children with fever with ARI (%) (%) Taken to health facility or provider (%) Source: Bangladesh Demographic & Health Survey – 2004 and 2007 It is evident from the table 5.04.2 that 40.1% percent children under five years had fever and 20.8% was reported to have had symptoms of respiratory illness in the year 2004. ARI is slightly less common among children over 24 months old than among younger children. Use of health facility or a medically trained provider for treatment of ARI is low in Bangladesh. Only 20.3 % children were to be taken to a health facility/ trained provider when ill with ARI. Not only that, but also there exists variation in boys and girls children. Boys children were more likely than girls to be taken to a health facility trained provider when ill with ARI. It is apparent from the table that there was also urban rural variation. Urban children were twice as likely to receive treatment at a health facility or by a medically trained provider as rural children were. The same situation was observed in the year 2007. Data resulted from the year 2007 survey show that 13 percent children under five years had symptoms of ARI and about three out of ten children with symptoms of ARI were taken to a health facility. Table 5.04.2 also shows that 40.1% children under five years had a fever in the year 2004 and 38.2% in the year 2007. The incidence of fever is relatively higher among children 6-11 months in both the year 2004 and 2007. Dehydration from diarrhea is another leading cause of child morbidity. Table 5.04.3 shows the prevalence of diarrhea among under-five children and the measures that were taken to treat the children from such illness. 50 Table 05.04.3: Percentage of children <5 years with diarrhea who were given oral re‐ hydration therapy (ORT) by sex and residence, 2007 and 2011 Background characteristic Age in month <6 6-11 12-23 24-35 36-47 48-59 Sex Boys Girls Residence Urban Rural Total Children with diarrhoea (%) 2007 Treated with ORT (%) Children with diarrhoea (%) 2011 Treated with ORT (%) 4.6 13.9 14.2 10.2 7.6 7.0 56.0 89.1 87.4 88.5 86.7 78.3 3.1 8.4 7.1 4.1 3.5 2.9 46.1 79.7 79.4 93.1 92.8 86.3 11.0 8.5 85.2 85.2 5.0 4.2 86.1 78.5 10.2 9.7 9.8 85.5 85.1 85.2 3.7 4.9 4.6 87.3 81.7 82.7 Note: ORT includes solution prepared from oral re-hydration salt (ORS) packets Source: Bangladesh Demographic & Health Survey-2007 and 2011, NIPORT It is apparent from the table that 9.8 percent of children under-five were reported to have had diarrhea in the two weeks period before the survey in 2007 and 4.6 percent of children under-five had diarrhea in the year 2011. Diarrhea prevalence was highest at age 6-23 months (for both the year 2007 and 2011) a period during which solid foods were first introduced into the child’s diet. Eighty five percent (85.2%) of children with diarrhea were given ORT, in the year 2007 and it was 82.7% in 2011. It is apparent that there had been no significant difference in the percentage of children receiving ORT over the years between 2007 and 2011. 5.05 Sources of Medicine The sources of medicine for the ailing patients have been presented in table 5.05 It is observed from the table that most of the patients received their medicine from the pharmacy/ dispensary. Table 05.05: Distribution of patients by their sources of getting medicine,2000, 2005 and 2010 Source of getting medicine 2000 2005 2010 Both Women Men Women Men Government health centre 3.55 2.78 2.80 3.02 2.33 NGO health centre 0.52 0.68 0.60 0.37 0.33 Private health centre 0.83 0.49 0.74 0.56 0.45 Other service personal 0.97 1.00 1.15 3.80 3.94 Pharmacy/ dispensary 89.47 92.93 92.72 90.28 90.25 Other shops 1.99 0.67 0.67 0.83 1.02 Others 2.69 1.45 1.31 1.13 1.56 Source: Household Income and Expenditure Survey-2000, 2005 & 2010, BBS 51 The sources of medicine reported by facility for women and men were almost similar. At the national level 2010 among the women, the highest 90.28% patients received their medicine from pharmacy/ dispensary followed by government health centre 3.02% and others 1.13%. Similarly, for men the highest 90.25% received their medicine from pharmacy/dispensary followed by government health centre 2.33% and others 1.56%. 5.06 Average Days Required for Consulting Doctor for the First Time after Ailment Average days required by the ailing persons to consult the doctor for the first time after ailment has been presented in table 5.06 It is revealed from the table that, the sex variation in respect of time required for consulting the doctor after ailment was not well differentiated. Table 05.06: Average days required consulting doctor for the first time after ailment by sex and residence, 2000, 2005 and 2010 Residence Both Women Men 2000 National 3.23 3.31 3.14 Rural 3.32 3.41 3.24 Urban 2.78 281 2.68 2005 National 3.01 2.77 3.24 Rural 3.03 2.79 3.28 Urban 2.94 2.68 3.14 2010 National 3.07 2.74 3.36 Rural 2.87 2.61 3.99 Urban 3.93 3.31 4.46 Source: Household Income & Expenditure Survey,2000, 2005, 2010, BBS However, the women consulted doctors slightly earlier than men. The average days required consulting doctors after ailment was 2.74 days for the women as against 3.36 days for the men. In rural-urban areas same situation was observed. In the rural area, the average days required by women to consult a doctor after ailment was 2.61 days compared to 3.99 days for men. In urban area, average days required for consulting doctor after ailment was 3.31 days for women and 4.46 days for men. 5.07 Average Waiting Time Average waiting time to get service/ treatment of health personnel has been presented in table 5.07. It is apparent from the table that, at the national level, among the women, the highest waiting time to get the service of the health personnel was accounted for govt. doctor in private practice (36.65 minutes) and govt. doctor in govt. institute (33.75 minutes) in the 2010. Among the men the highest waiting time to get the service of the health personnel was accounted for NGO doctor (41.53 minutes) and govt. doctor in private practice (37.85 minutes). At the national level the lowest waiting time was observed for compounder of pharmacy/ dispensary for both the sexes. 52 Table 05.07: Average waiting time (minutes) for getting the service / treatment personnel by patients, sex and residence, 2000, 2005 and 2010 Type of service/ treatment personnel Govt. health worker NGO health worker Homeopathic doctor Kabiraj/Hekim/Ayurbedic Peer/Fakir/Tantric/Ojha/Baidya Govt. doctor (Govt. institution) Govt. doctor (private practice) NGO doctor Private doctor Pharmacy/Dispensary/Compounder Family treatment Self treatment Other Total 2000 Women Men 2005 Women Men 2010 Women Men 19.18 24.49 11.21 11.60 15.72 30.64 28.70 27.52 16.05 8.49 20.45 4.82 11.06 15.94 17.59 10.03 14.16 12.74 14.18 31.03 24.58 22.50 16.35 8.43 14.02 2.76 10.87 14.68 19.44 12.33 18.43 22.83 28.55 33.75 36.65 21.25 19.26 10.20 8.43 6.29 12.29 19.37 22.02 11.06 15.10 16.42 17.43 33.13 37.85 41.53 21.68 9.87 6.37 1.25 15.70 19.34 14.0 12.0 11.0 14.0 8.0 22.0 24.0 12.0 14.0 7.0 14.0 13.0 16.0 18.0 11.0 11.0 15.0 26.0 23.0 20.0 13.0 9.0 11.0 14.0 Source: Household Income & Expenditure Survey-2000, 2010, BBS 5.08 Preference of Health Service Provider The reasons for preference of a particular service for treatment have been presented in table 5.08. It is evident from the table that at the national level, the main reason of selecting a particular service was short distance for both women and men. In 2010 among the women as high as 32.36% preferred any service for this reason followed by quality of treatment 30.40% and reasonable expenditure 20.70%. Table 05.08: Patients preference of service/treatment by reasons, sex and residence, 2000, 2005 and 2010 Reasons of preference Percentage 2000 2005 2010 Both Women Men Women Men Short distance 36.21 31.69 32.73 32.36 32.75 Reasonable expenditure 23.33 19.90 20.61 20.70 20.62 Doctor available easily 6.92 9.41 9.20 7.30 6.56 Female doctor available 0.44 0.47 0.16 0.65 0.04 Medical equipment available 0.54 0.75 0.57 0.56 0.55 Quality treatment available 19.76 25.59 24.74 30.40 30.94 Referred by other doctor 0.82 0.12 0.41 0.37 0.53 Suggested by friends /relatives 2.18 1.16 0.91 0.83 1.09 For good reputation 6.92 4.60 4.18 5.18 5.27 Other reasons 2.87 6.31 6.49 1.64 1.64 Source: Household Income and Expenditure Survey -2000, 2005 and 2010, BBS 53 Among the men, the highest 32.75% preferred any service for short distance followed by quality of treatment 30.94% and reasonable expenditure 20.62% 5.09 Treatment Cost Medical expenditure of the patients in the preceding 30 days has been presented in the table 5.09. It is apparent from the table that at the national level per patient average medical expenditure was higher for women than men. Table 05.09: Average medical expenditure per patient (Tk) in the preceding 30 days by sex and residence, 2000, 2005 and 2010 Item of expenditure Doctor’s visit Hospital/ clinic fee Medicine cost Test/ investigation fee Transport cost Tips for treatment Other expenses Total Average expenditure per patient (Tk) 2000 2005 2010 Women Men Women Men Women Men 83 83 123 105 159 160 1145 1152 1333 918 2016 1440 194 195 279 272 453 522 392 368 622 404 893 806 69 57 76 83 124 145 215 156 552 286 1695 283 132 94 173 110 250 265 168 161 465 396 388 407 Source: Household Income and Expenditure Survey 2000, 2005 and 2010, BBS In 2010 for the women it was Tk.388 as against Tk. 407 for men. It is also revealed from the table that, average medical expenditure significantly increased over the period 2000 to 2010.In all levels, the expenditure for hospital/clinic was the highest, followed by test investigation fee. But there exists variation between women and men. 5.10 Reasons for Non‐treatment The reason for non-treatment of ailing patient has been presented in table 5.10. It is apparent from the table that at the national level, the main reason of non-treatment was that the problem was not serious for women and men. Table 05.10: Reasons for non‐treatment in the ailment suffered preceding 30 days by sex 2000, 2005 and 2010. Reasons for non treatment The problem was not serious High expenditure of treatment Long distance of treatment place Fear of detection of serious disease Fear of taking treatment Non support from family None was present to accompany Trouble in going outside Did not know where to go Others 2000 Both 70.32 19.38 1.26 0.47 0.25 2.94 0.75 0.50 0.31 3.59 2005 Women Men 61.07 64.48 26.42 24.16 0.72 1.99 0.07 0.16 0.87 0.80 4.09 2.53 0.62 0.23 1.23 0.86 0.16 0.22 4.72 4.56 Source: Household Income and Expenditure Survey 2000, 2005 and 2010, BBS 54 2010 Women Men 53.97 59.99 17.51 12.95 1.55 0.44 0.07 0.15 0.30 0.00 4.94 2.46 0.00 0.00 2.20 2.25 0.23 0.62 19.23 21.13 There exists variation in the reasons for non-treatment between women and men in 2005. Among women as high as 61.07% did not receive any treatment as the problem was not serious followed by high expenditure of treatment 26.42% and non support from family 4.09%. Among the men for the same area 64.48% did not take any treatment, as the problem was not serious, followed by high cost of treatment 24.16% and non-support from family 2.53%. In 2010 among women, 53.97% did not receive any treatment because they did not feel their problem so serious and among men, it was about 60% 5.11 Prevalence of Smoking Tobacco use prevalence is one of the key indicators of tobacco control. There are two kinds of commonly used tobacco products in Bangladesh i.e. smoking and smokeless tobacco products. Smoking tobacco products in Bangladesh include manufacturing cigarettes, bidis, hand-rolled cigarettes, pipes, cigars, water-pipes or hukkah and other smoked tobacco products. Smokeless tobacco products used include a wide range: betel quid with zorda, zarda only or zarda with supari; betel quid with sada pata, pan masala with tobacco, sada pata chewing and other smokeless tobacco products. Table 05.11.1: Smoking rates by sex and residence, 1995 and 2009 Residence 1995 Women Men Women Rural 5.1 46.2 1.8 Urban 3.4 40.5 0.8 National 4.6 43.8 1.5 2009 Men 45.6 42.1 44.7 Source : Prevalence of Smoking in Bangladesh, 1995, and WHO| Global Tobacco Survey, Bangladesh, 2009 Table 5.11.1 provides smoking prevalence rates by sex, in 1995 and 2009. In case of both women and men the smoking habits in rural area decreased from 5.1% in 1995 to 1.8% in 2009 and for men from 46.2% in 1995 to 45.6% in 2009. Prevalence rates of smoking for the women in both rural and urban areas indicate significant change in reduction, which may have a positive impact on women’s health with less affected from diseases caused for smoking tobacco. Table 05.11.2: Percentage of adults 15 years and above by smoking status, residence & sex, 2009 Smoking status Current tobacco smoker Daily smoker Occasional smoker Non smoker Daily smoker formerly Never daily smoker Men Total Women Both Men Urban Women Both Men Rural Women Both 44.7 40.7 4.0 55.3 8.4 46.8 1.5 1.3 0.2 98.5 1.0 97.5 23.0 20.9 2.1 77.0 4.7 72.3 42.1 38.0 4.1 57.9 8.9 49.0 0.8 0.7 0.1 99.2 0.5 98.7 21.3 19.2 2.1 78.7 4.7 74.0 45.6 41.6 4.0 54.4 8.3 46.1 1.8 1.6 0.2 98.2 1.1 97.1 23.6 21.5 2.1 76.4 4.7 71.7 Source : WHO| Global Tobacco Survey, Bangladesh, 2009 In the table 5.11.2 the prevalence of smoking tobacco is presented by smoking status. Men 40.7% reported as a daily smoker while women reported 1.3%. The overall prevalence of current tobacco smokers was 23.0%. It was 44.7% among men and 1.5 % among women. 55 Table 05.11.3: Percentage of adults 15 years and above by use of smokeless tobacco, by sex, residence, 2009 Smoking status Current smokeless tobacco user Daily user Occasional user Non smokeless tobacco user Daily user formerly Never daily user Total Urban Rural Men Women Both Men Women Both Men Women Both 26.4 20.7 5.6 73.6 1.8 71.8 27.9 26.6 1.3 72.1 1.0 71.1 27.2 23.7 3.5 72.8 1.4 71.4 21.6 15.8 5.8 78.4 2.2 76.2 23.8 21.3 2.1 76.6 0.9 75.8 22.5 18.6 3.9 77.5 1.5 76.0 28.1 22.5 5.6 71.9 1.7 70.2 29.6 28.5 1.1 70.4 1.0 69.4 28.8 25.5 3.3 71.2 1.4 69.8 Source : WHO| Global Tobacco Survey, Bangladesh, 2009 Table 5.11.3 shows the prevalence rates of smokeless tobacco use by sex and residence, urban and rural. Current smokeless tobacco use was 27.2%. The smokeless tobacco use prevalence among women and men was 27.9% and 26.4% respectively in 2009. The prevalence rates in rural population were higher than in urban population (28.8% against 22.5%) ; 23.7% of adults 15 years and above were daily users whereas 26.6% of women, used smokeless tobacco and men 20.7% used smokeless tobacco on a daily basis. In the rural area women of daily user in the rural area reported 28.5% to use smokeless tobacco higher compared to urban women, 21.3%. 56 CHAPTER 6 Disability Disability is any restriction or lack of ability (resulting from an impairment) to perform an activity in the manner or with range considered normal for a human being. Disability is increasingly seen as something that affects most people in the population, to varying degrees and at different stages of their lives. It can be measured along a continuum and estimates of its prevalence vary with the particular definition used. The data on disability are not comprehensive and comparable. So lack of adequate data has led to neglect the disability issues and inadequate development national plan and policies. A few data collected in Bangladesh do not reflect the full extent of disability prevalence. In spite of the limitation the chapter deals with disability data, especially crude disability, age-specific disability, disability by causes, disability by types and child disability as available from surveys conducted by BBS. 6.01 Age Sex Distribution Table 6.01.1 presents distribution of disabled population by age groups. The table shows that proportion of disabled persons was highest for age group 65 and over, lowest in the age group 0-4 years for both sexes, and male. Lowest percentage of disabled was found for females in the age group 25-29 years. Table 6.01.1: Age‐sex distribution of disabled persons Age group All ages 00-04 05-09 10-14 15-19 20-24 25-29 30-49 50-59 60-64 65+ 1991 Women 100.0 4.08 9.84 9.46 6.60 6.54 6.22 16.90 8.48 6.93 24.94 2004 Men 100.0 5.86 9.71 10.19 5.44 6.60 5.44 21.5 10.53 3.78 17.95 Women 100.0 4.75 9.56 8.66 8.63 6.14 5.36 18.8 9.16 6.65 22.28 Men 100.0 4.15 8.12 9.77 9.66 5.96 5.44 23.17 10.28 5.80 17.66 2011 Women 100.0 3.62 7.48 8.34 6.96 6.66 6.33 22.70 10.08 6.63 21.20 Men 100.0 3.89 8.70 9.35 7.32 6.62 6.64 22.23 10.24 6.23 18.80 Source: Population Census-1991, 2011 and Sample Census-2004 Disabled population was almost evenly distributed through the age groups except for three age groups 04, 30-49 and 65+ ages. 6.02 Crude Disability The data on crude disability per 1000 population by sex are shown in table 6.02.1 It is evident from the table that, at the national level, among the women the crude disability per 1000 population was lower as compared to men. It was 3.9 for the women and for the men it was 5.5 in 1991. The rates for women and men were 6.7 and 9.9 respectively in the year 2004. In the year 2011, it was 13.0 for women and 15.2 for men. 57 Table 06.02.1: Crude disability rate per1000 population by sex and residence, 1991, 2004 and 2011 Sex Women Men Both 1991 2004 2011 3.9 5.5 4.7 6.7 9.9 7.9 13.0 15.2 14.1 Source: population census and sample census-2004, BBS 6.03 Age‐Specific Disability Table 6.03 .1 shows the prevalence of disability per 1000 population by age for the year 1991, 2004 and 2011. It is observed from the table that the prevalence of disability rates increase with the increase of age. Table 06.03:1: Age‐specific disability rate per 1000 population by sex, 1991, 2004 and 2011 Age group Both 00-04 05-14 15-29 30-49 50-64 65& above Total 1.7 3.0 3.5 4.5 11.0 32.3 4.7 00-04 05-14 15-29 30-49 50-64 65& above Total 2.8 5.5 6.2 6.9 16.4 50.0 7.9 00-04 05-14 15-29 30-49 50-64 65& above Total 5.07 9.92 10.39 13.13 25.90 59.09 14.09 Women Men 1.1 2.5 3.0 3.3 8.8 36.5 3.9 2.2 3.5 4.1 5.7 12.9 29.2 5.5 2.6 4.7 4.8 5.2 14.4 51.3 6.7 3.0 6.3 7.7 8.5 18.2 48.8 9.1 4.55 8.75 8.81 12.27 25.87 62.02 12.98 5.57 11.02 12.18 13.98 25.93 52.52 15.19 1991 2004 2011 Source: Population Census-1991, 2011 and Sample Census-2004 At the national level, the prevalence of disability in 2011 was the highest 59.09 per 1000 population of age 65 & above. There exists variation in the age group and between the women and men. Women, age less than 50 year the prevalence of disability was lower than that of men. However, at the age 65+ the prevalence of disability of women was higher than that of men. It was 62.02 for the women and 52.52 for the men. 58 6.04 Causes of Disability Table 6.04.1 shows the percentage of disability by causes and by sex. It is observed from the table that, by born is the main cause of disability, this is followed by illness. Table 06.04.1: Percentage distribution of disability by causes and sex, 2002‐2010 Causes of disability By born Accident Illness Old age Others Total 2002 Both sex 44.6 9.8 29.8 10.6 5.1 100.00 2007 Women 38.63 7.41 29.45 17.32 7.19 100.00 Men 41.66 12.23 28.65 11.44 6.03 100.00 2010 Women 44.05 8.45 26.72 16.09 4.69 100.00 Men 46.52 12.99 26.76 9.82 3.91 100.00 Source: SVRS,2008, 2007, 2010, BBS In 2010, at the national level, for the women, the highest percentage of disability was by born 44.05% followed by illness 26.72% and old age 16.09%. The same pattern of causes was followed for the men except for some minor variations. For the men, the highest disability 46.52% was by born followed by illness 26.76% and accident 12.99%. 6.05 Types of Disability The proportion of disabilities by types and sex is shown in table 6.05.1 Types of disability for both women and men has been classified as blindness, night blindness, hearing of deaf/dump , mentally handicapped, leprosy, cripple, worthless, leprosy (white skin), goiter, memory impairments and others (paralysis, leucoderma etc.). Table 06.05.1: Proportion of disability (%) by type and sex in 2002‐2010 Types of disability Blindness Night blindness Deaf /Dumb Mentally retarded Leprosy Cripple Worthless Dhabal(White Skin) Goiter Short in Memory Others Total 2002 Women 11.61 4.36 24.83 12.97 1.14 18.68 5.26 1.37 4.86 8.66 6.25 100.00 2007 Women 9.1 7.2 17.8 12.4 0.7 18.3 5.3 2.4 2.4 9.7 14.7 100.00 Men 8.82 5.15 22.01 12.10 1.03 27.86 6.71 1.57 1.49 6.07 7.19 100.00 Men 7.9 5.3 16.7 12.0 0.8 25.9 5.2 1.9 0.7 8.5 15.1 100.00 2010 Women 8.47 5.19 17.37 13.12 3.10 18.05 5.31 2.30 2.68 11.43 15.28 100.00 Men 8.05 4.16 15.54 12.68 2.55 26.61 5.44 1.65 1.30 8.91 14.77 100.00 Source: Sample Vital Registration System, 2002, 2007, 2010,BBS It is evident from the table that the men cripple (26.61%) was the highest proportion in the year 2010. Among the cripples, men were more than women (18.05%) followed by deaf/dumb (17.37%) and mentally retarded 13.12% 59 6.06 Economic Participation Table 06.06.1: Crude activity rate of all population and disabled population, 1991, 2004 and 2011 Year 1991 2004 2011 Total 28.8 27.6 30.1 All population women 4.4 4.0 6.0 Men 51.9 50.4 54.2 Total 26.3 26.3 26.2 Disabled population women 6.3 4.0 4.6 Men 39.6 41.9 44.6 Source: Population Census-1991, 2011 and Sample Census-2004 Crude activity rate measures the relative number of persons who were economically active. Table 6.06.1 provides the comparative picture of crude activity rate for the disabled population for 1991, 2004 and 2011. It is observed that crude activity rate of disabled population was considerably lower as compared to all population, for both sexes and males whereas the rate is found higher for female disabled. It is seen in the table the crude activity rate for disabled persons has decreased in 2004 than that of 1991. Table 6.06.2: Refined activity rate of disabled and all population by sex, 1991, 2004 and 2011 Year 1991 2004 2011 Total 28.8 27.6 39.8 All population women Men 4.4 51.9 4.0 50.4 7.8 70.8 Total 26.3 26.3 29.7 Disabled population women Men 6.3 39.6 4.0 41.9 5.2 51.0 Source: Population Census-1991, 2011 and Sample Census-2004 The refined activity rate is the ratio of the economically active population to the population aged 10 years and above. The refined activity rates of all population and disabled population of 1991, 2004 and 2011 are presented in table 6.06.2. It may be observed that refined activity rate was lower for disabled population than that of total population, and the refined activity rate for disabled women was much lower compared to that of men. The table shows that the refined activity rate for men has been increasing. 6.07 Child Disability One of the goals for the children is to protect children against abuse, exploitation and violence including the elimination of discrimination against children with disabilities. Multiple Indicator Cluster Survey (conducted by BBS) collected data on children aged 2-9 years to assess the incidence of disability/impairments, such as, sitting, walking and standing delay, stiffness of arms, sight impairment, deafness and difficulties with speech, hearing and problem of understanding instructions, mentally retarded, backward and slow. Table 6.07.1 shows the percentage of children 2-9 years of age with disability reported by their mother or caretaker according to the type of disability by sex and residence. 60 Table 06.07.1: Percentage of children aged 2‐9 years with disability by types, sex and residence, 2006 Sex/ residence Girls Boys Rural Urban Total Sex/ residence Girls Boys Rural Urban Total Delay in sitting standing or walking Difficulty seeing, either in the daytime or at night Appears to have difficulty hearing No understanding of instructions Difficulty in walking moving arms, weakness or stiffness 6.6 8.0 7.4 6.9 7.3 0.7 1.0 0.9 0.8 0.9 2.1 2.1 2.2 1.7 2.1 1.7 1.9 1.8 1.6 1.8 2.6 2.9 2.9 2.4 2.8 Have fits, become rigid, lose consciousness Not learning to do things like other children his/her age Not speaking/cannot be understood in words Appears mentally backward, dull, or slow Percentage of children 2-9 years of age with at least one reported disability 4.2 5.7 4.8 5.5 5.0 1.6 1.9 1.8 1.4 1.7 1.7 2.1 2.0 1.7 1.9 1.5 1.7 1.6 1.5 1.6 16.2 18.7 17.7 17.1 17.5 Source: Multiple Indicator Cluster Survey 2006, BBS It is observed from the table that 17.5 percent of children 2-9 years of age had one or more reported disabilities. There exists variation between girls and boys. Among the girls, the incidence rate of disability was lower than that of boys. It was 16.2% for girls and 18.7% for boys. But there is a slight variation in the rural and urban areas. 6.08 Child Injury According to the findings of 2005 child injury survey, about a million children are seriously hurt from injuries every year- two children every minute. Of them 36 a day become disabled. The following table 6.08.1 shows the percent of children younger than 18 years suffered some form of injury by sex and residence .It is observed from the table that 6.5 percent of children <18 years suffered from some sort of injury. Of them, fallen children was accounted for the highest rate at 2.3 percent. Table 6.08.1: Percentage of children <18 years by types of injury by sex and residence, 2006 Sex and residence Girls Boys Rural Urban Total Injured aged <18 years 2.0 4.7 6.6 6.4 6.5 Fallen Burn 0.7 1.7 2.5 2.0 2.3 0.3 0.4 0.6 0.6 0.6 Type of injury Animal/ Road Drowning Snake/ Insect accident 0.1 0.3 0.3 0.2 0.9 0.5 0.3 1.0 0.8 0.2 1.4 0.5 0.2 1.1 0.7 Poisoning/Acid victim & others 0.5 1.3 1.6 2.0 1.7 There exists variation between girls and boys. Among the girls, the rate of injury was lower than that of boys. The rate of injury for boys was 4.7% and 2.0% was for the girls. There was no significant variation in rural and urban areas. Among the children total incidence of injury occurred 6.5% 61 62 CHAPTER 7 Economic Participation and Gender This chapter provides the labor force data in Bangladesh. Total labour force comprises aged 15 years and older people who are economically active population. All people who supply labour for the production of goods and services during a specified period. It includes employed, underemployed, selfemployed and unemployed, who are looking for gainful job/work. They may also be classified as skilled, semi-skilled and unskilled labour force. Economically active population below age 15 termed as child labour, is excluded from the labour force. Labour force is the key instrument to run the wheel of economy. To run and strengthen the economy of this country it is inevitable to formulate effective plans and programs based on adequate and quality data on labour force. The chapter focuses particularly on labour force participation of women compared to men in the economy. Sex disaggregated data on labor force have been presented in tables for different years viz (i) Labour force aged 15+; (ii) annual average labour force growth rate; (iii) crude and refined activity rate; (iv) trends in age-specific labour force participation; (v) working age population by activity status, broad economic category engaged in household with level of education etc.; (vi) employed person by formal and informal sector; (vii) trends in the distribution of employed women 15 years & over by major occupation, establishment, major industry etc. Besides data on weekly hours worked, annual growth rate, overseas employment, salary of worker, average wage rate, average daily wage rate, employment rate of population etc. 7.01 Size of Labour Force Population aged 15 years and over by sex and residence is presented in table 7.01. It is observed from the table that at the national level the men labour force had increased from 30.6 million in 1996 to 39.5 million in 2010 while women labour force increased from 5.4 million to 17.2 million in the same period. Table 07.01: Labour force aged 15 years and over by sex and residence, 1995‐2010 (Million) Period National Urban Rural Women Men Women Men Women Men 1995-96 5.4 30.6 1.6 6.7 3.8 23.9 1999-2000 8.6 32.2 2.2 7.1 6.4 25.1 2002-2003 10.3 36.0 2.7 8.6 7.6 27.4 2005-2006 12.1 37.3 2.8 8.9 9.3 28.4 2010 17.2 39.5 4.0 9.3 13.2 30.2 Source: Labour Force Survey, 2010, BBS 63 Labour force aged 15 years and over by gender and residence, 1995-2010 50 40 36 32.2 30.6 39.5 37.3 30 20 10 8.6 5.4 10.3 12.1 2002-03 LFS 2005-06 LFS 17.2 0 1995-96 LFS 1999-2000 LFS Women 2010-LFS Men In urban area the men labour force had increased from 6.7 million in 1996 to 9.3 million in 2010. On the other hand, women labour force increased from 1.6 million to 4.0 million. In rural area men labour force had increased from 23.9 million in 1996 to 30.2 million in 2010. While for women it was respectively 3.8 million and 13.2 million. It is important to note that the participation of the women labour force had increased significantly both in urban and rural areas. 7.02 Labour Force Growth Rate The annual average growth rate of labour force is shown in table 7.02. It is seen from the table that at national level, the annual labour force growth rate for women stood at 6.5 percent for the period of 2002-2003. It is notable that growth rate of women labour force was much higher than that of men labour force. Table 07.02: Annual average labour force growth rate by sex and residence, 2002‐03 and 2005‐06 to 2010 Period and source Annual compound growth rate (%) Bangladesh Urban Rural Women Men Women Men Women Men 2002-03 6.5 3.8 7.6 6.7 6.2 2.9 2005-06 5.5 1.2 2.1 1.0 6.6 1.3 2010 8.7 1.4 8.5 1.1 8.7 1.5 Source: Labour Force Survey 2002-03, 2005-06, and 2010, BBS 64 The annual growth rate of women was found 8.69 percent as against 1.40 percent for men at national level for the period 2005-2006 to 2010.The growth rates of labour force in rural area for women population were to some extent lower than that of in the urban area. The urban women growth rate was 8.52 percent compared to 1.08 percent for men. On the other hand, rural women growth rate was 8.74 percent as against 1.50 percent of men. Labour force growth rates of women for all the years 2002-03, 2005-06 and 2010 were higher than men at national, rural and urban areas. Employment related international migration by men is one of the causes of lower growth of male labour force. 7.03 Crude Activity Rate It is observed that crude activity rate at the national, urban and rural level increased in 2010 for both men and women compared to that in 2005-06 (Table-7.03). Table 07.03: Crude activity rates by sex and residence, 2005‐06 and 2010 Residence Bangladesh Urban Rural Crude activity rate (%) LFS 2005-2006 Women Men 18.0 53.3 17.9 54.2 18.1 53.0 LFS 2010 Women 23.3 23.6 23.3 Men 52.5 54.2 52.0 The crude activity rates for women were lower than those of men, but have increased for women over time while remaining the same for men. 7.04 Refined Activity Rate Table 07.04: Refined activity rate by sex and residence, 2005‐06 and 2010 Residence Women Men Women 2005-2006 Bangladesh Urban Rural 29.2 27.4 29.8 Source: Labour Force Survey, 2010, BBS Men 2010 86.8 83.2 88.0 65 36.0 34.5 36.4 82.5 80.2 83.3 In table 7.04, refined activity rates of the population are presented. The refined activity rate has increased for women in 2010 compared to 2005-06, but for men decreased. It is important to note that, refined activity rate for men reduced in 2010 as against 2005-06. It was happening due to active people going abroad for jobs. On the other hand, refined activity rate for women increased substantially in the rural areas, it was 29.8% in 2005-06 and increased to 36.4% in 2010. 7.05 Age‐Specific Labour Force Participation Rate Trends in age-specific labour force participation rate by age and sex, 2002-2010 are displayed in table7.05. Participation rates are higher for men compared to women at all ages. It is observed from the table that participation rate of women and men increased with age, but declined after age 50 for women and after age 55 years for men. Table 07.05: Trends in age‐specific labour force participation rate by sex, 2000‐2010 Age group 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65+ Women 2002-2003 2005-2006 38.2 26.7 27.5 27.2 28.1 25.6 22.6 19.9 17.2 13.4 8.7 13.8 29.0 33.7 34.9 34.9 35.1 32.6 31.1 27.7 22.6 14.8 Men 2010 29.4 41.0 44.7 46.6 47.7 46.2 47.6 10.3 11.2 6.6 8.3 2002-2003 2005-2006 58.9 84.9 97.7 99.7 99.8 99.7 99.5 99.2 97.3 87.8 66.1 62.9 80.4 95.3 98.7 98.8 97.7 97.8 95.4 92.4 82.7 59.3 2010 48.4 75.9 92.2 97.3 98.3 98.1 97.4 94.1 88.5 77.2 57.9 Source: LFS 2002-2003, 2005-2006, 2010 BBS The sex differentials in participation rate by age are well pronounced. For the women in 2010 the highest participation rate was 47.7% for the age group of 35-39, whereas for the men the highest participation rate was 98.3 in the same age group. Participation rate for men ranges from 98.3 to 48.4 compared to women 47.7 to 6.6 Participation rates increasing sharply for men from age group 15-19 and peaked in age group 35-39. 7.06 Working Age Population by Activity Status The working-age population is defined as persons aged 15 years and older, although this varies slightly from economy to economy. The ILO standard for the lower age limit is, in fact, 15 years. Table 7.06 highlights working age population 15 years and over by activity status, sex and residence. It is observed from the data that percentage distribution of activity status for the women at the national, urban and rural level were almost same. At the national level, 75.2% women were not at work in economic activity, whereas, 24.7% women were at work in economic activity. For men percentage distribution of activity status at national level 83.1% was at work in economic activity, 16.3% were not in economic activity. There exists variation by sex between the activity statuses. 66 Table 07.06: Working age population 15 years and over by activity status, sex and residence,2002‐03 Activity status National Women Men Total 100.0 100.0 At work in economic activity 24.7 83.1 Working but not at work 0.1 0.6 Not at work in economic activity 75.2 16.3 Source: Labour Force Survey-2002-03, BBS Urban Women Men 100.0 100.0 25.6 80.6 0.1 0.6 74.3 18.8 Rural Women 100.0 24.4 0.1 75.5 Men 100.0 83.9 0.6 15.4 7.07 Working Age Population (15+ yrs) by Broad Economic Category In table 7.07, it is revealed from the data that 82.5% men were in labour force at national level in 2010. Whereas for women 36.0%were in labour force and 64.0% were not engaged in labour force. In the rural area, 36.4% working age women were in labour force and the rest 63.6% were not engaged in labour force. For men, 83.3% were engaged in labour force whereas 16.7% were not engaged in labour force. Table 07.07: Working age population by broad economic category by sex and residence, 2005‐2006 and 2010 Economic category Total 2005-06 Population (age 15+) Total labour force Employed Unemployed Not in labor force Household work Student Others Total labour force Employed Unemployed Not in labor force Household work Student Others 84586 49461 47357 2104 35125 24148 6548 4429 58.5 95.8 4.2 41.5 68.8 18.6 12.6 Bangladesh Men Women Total 43006 37330 36080 1250 5876 352 3709 1614 Number (000) 21075 10683 11730 8884 11224 8569 505 315 9345 1800 5860 141 2189 1146 1296 512 86.8 96.7 3.3 13.2 6.2 65.4 28.4 41580 12131 11277 854 29449 23796 2838 2815 29.2 93.0 7.0 7.8 80.8 9.6 9.6 67 Urban Men Women Percent 55.7 83.2 95.7 96.5 4.3 3.5 44.3 16.8 62.7 7.8 23.4 63.7 13.9 28.5 Total Rural Men Women 10392 2846 2656 190 7545 5719 1042 784 63511 37731 36132 1599 25780 18288 4359 3133 32323 28447 27511 935 3876 211 2563 1102 31188 9285 8621 664 21904 18077 1796 2031 27.4 93.3 6.7 72.6 75.8 13.8 10.4 59.4 95.8 4.2 40.6 70.9 16.9 12.2 88.0 96.7 3.3 12.2 5.5 66.1 28.4 29.8 92.9 7.1 70.2 82.5 8.2 9.3 Economic category Total Bangladesh Men Women 2010 Population (age 15+) 95584 47847 Number (000) 47737 23165 11572 Total labour force 56651 39477 17174 13278 9276 4002 Employed 54084 37882 16202 12421 8752 3669 Unemployed Not in labour force 2567 38933 1595 8370 972 30563 858 9887 324 2246 334 9591 Household work 26241 1163 25078 6298 239 6059 Student Others 6770 5922 4570 2637 1318 739 Total labour force Employed Unemployed Not in labour force Household work Student Others 59.3 95.5 4.5 40.7 67.4 19.7 12.9 82.5 96.0 4.0 17.5 13.9 54.6 31.5 2200 2333 3285 1256 Percent 36.0 57.3 94.3 93.5 5.7 6.5 64.0 42.7 81.7 63.7 10.3 23.6 8.0 12.7 80.2 94.4 5.6 19.8 10.4 57.4 32.2 Total Urban Men Women 11593 Total Rural Men Wome n 36275 36144 30201 13172 29130 12533 1071 6074 639 22972 923 19032 1015 517 7241 9 4337 3 4166 3 1710 2904 6 1995 5 5315 3776 3256 1895 2059 1881 34.5 91.7 8.3 65.5 79.5 13.6 6.9 60.0 96.1 3.9 40.0 68.7 18.3 13.0 83.3 96.5 3.5 16.7 15.2 53.6 31.2 36.4 95.2 4.8 63.6 82.5 9.2 8.3 Source: Labour Force Survey-2010, BBS In the urban area in 2010, 34.5 percent women were in the labour force and 65.5% were outside the purview of the labour force. About ninety-two percent women were employed and the rest were unemployed. For men, 80.2% were engaged in labour force and the rest 19.8% were outside the labour force. 7.08 Working Age Population Engaged in Household Work It is seen from the table7.08, that those who were outside the labour force, a large portion of them were engaged in household work. At the national level in 2010, 67.4% of the total population who were outside the purview of the labour force was engaged in household. It was higher than 35.1% in 2002-03 at national level of the total population who were not in the labour force but worked in the household. It is important to note that the working age population who were engaged in household work for both men and women in urban and rural areas were higher in 2010 than 2002-03. Table 07.08: Working age population 15 years and over engaged in household work by sex and residence, 2002‐03, 2005‐06 and 2010 (In percentage) Sex 2002-03 2005-06 2010 Total Urban Rural Total Urban Rural Total Urban Rural Both 35.1 21.5 21.2 68.8 62.7 70.9 67.4 63.7 68.7 Women 65.7 40.8 39.8 80.6 75.8 82.5 81.7 79.5 82.5 Men 5.7 3.3 3.5 6.2 7.8 5.5 13.9 10.4 15.2 Source: Labour Force Survey, 2005-06 and 2010, BBS 68 7.09 Labour Force by Level of Education Table 7.09 provides labour force aged 15 years and over by level of education, sex and residence. It is observed from the table that at national level 40.6% women labour force in 2010 have no educations at all. Same scenario is also found for men (39.9 percent illiterate). The participation of women having no schooling was 29.3% in urban area compared to 44.1% in the rural area. For men it was 26.1% in the urban area and 44.1% in the rural area. Table 07.09: Labour force participation aged 15 years and over by level of education, sex and residence, 2000‐03, 2005‐06 and 2010 (In percentage) Level of education National Urban Women Men Women Men 2005-2006 Total 100.0 100.0 100.0 100.0 No education 50.9 37.1 39.8 25.0 Class 1-V 22.9 24.1 21.3 21.6 Class VI-V111 10.7 13.3 10.7 12.8 Class1X-X 5.5 8.2 5.6 7.9 S.S.C/Equivalent 4.6 7.5 7.8 10.2 HSC/Equivalent 2.3 4.2 5.4 7.9 Degree /Equivalent 1.8 3.3 4.8 7.9 Master’s Equivalent 1.0 1.7 3.5 5.3 Engineering/Medical 0.2 0.3 0.7 0.9 Technical/Vocational 0.1 0.1 0.3 0.3 Others 0.1 0.1 0.2 0.3 2010 Total 100.0 100.0 100.0 100.0 No education 40.6 39.9 29.3 26.1 Class i-v 22.7 22.9 23.9 22.0 Class vi-viii 15.3 13.8 16.3 16.5 Class ix-x 10.5 8.3 10.7 9.1 SSC/equivalent 5.6 6.5 7.9 8.8 HSC/equivalent 3.0 4.0 6.0 6.9 Bachelor /equivalent 1.2 2.5 2.8 5.4 Master degree/equivalent 0.8 1.7 2.4 4.1 Medical/engineering 0.1 0.2 0.4 0.8 Technical/vocational 0.1 0.2 0.1 0.4 Others 0.0 0.0 0.1 0.0 Source: Labour Force Survey, 2005-06 and 2010, BBS Rural Women Men 100.0 54.3 23.4 10.7 5.4 3.7 1.4 0.9 0.2 0.0 0.1 0.0 100.0 40.9 24.9 13.4 8.3 6.7 3.1 1.9 0.6 0.1 0.1 0.1 100.0 44.1 22.3 15.0 10.5 4.8 2.1 0.7 0.3 0.1 0.1 0.0 100.0 44.1 23.2 13.0 8.0 5.8 3.1 1.6 1.0 0.1 0.1 0.0 At the national level in 2010, 0.1% women and 0.2% men has professional education such as engineering and /or medical degrees. For urban area the percentage of women and men labour force having engineering and /or medical degree were 0.4% and 0.8% respectively. On the other hand, in rural area the percentage of labour force having such professional degree was 0.1% for both women and men. Women having SSC or equivalent degree were 5.6% compared to 6.54% for men, at the national level. At the urban area, SSC or equivalent degree were 7.9% for women and 8.8% for men. The corresponding figure for rural area was 4.8% and 5.8% respectively. 69 It is interesting to note that, percentage of labour force having masters/equivalent educational qualification were 0.8% for women and 1.7% for men in the national level. For women and men it was 2.4% and 4.1% respectively in the urban area and for rural area it was 0.3% for women and 1.0% for men. Variation by sex in the labour force participation in respect of higher education is also discernible. 7.10 Employment by Sector Employed persons 15 years and over by formal and informal sectors, sex and residence have been provided in table 7.10 in 2010. It is seen from the table that at aggregate level, women labour force in informal sector was 92.3% and in formal sector it was 7.7%. On the other hand, for men labour force informal and formal sector were 85.5% and 14.5% respectively. Almost the same pattern was observed in urban and rural areas. Table 07.10: Employed persons 15 years and over by sector of employment, sex and residence, 2005‐06 and 2010 Sector Bangladesh Women Men Total Formal sector Informal sector 100.00 14.31 85.69 Total Formal sector Informal sector 100.0 7.7 92.3 Urban Women Men 2005-06 100.00 100.00 100.00 23.82 31.08 33.64 76.18 68.92 66.35 2010 100.0 100.0 100.0 14.5 19.0 27.8 85.5 81.0 72.2 (In percentage) Rural Women Men 100.00 9.15 90.85 100.00 20.76 79.24 100.0 4.4 95.6 100.0 10.7 89.3 Source: Labour Force Survey, 2010, BBS In urban areas, 81.0% women were in informal sector and 19.0% were engaged in formal sector. 72.2% men were in informal sector and 27.8% were in formal sector. In the rural area, 95.6% women were in informal sector and 4.4% were in formal sector. For men 89.3% were in informal sector and 10.7% were engaged in formal sector. It is observed from the table 7.10.1 that at the national level, women employed population had increased from 7.9 million in 1999 to 16.2 million in 2010 while men employed population increased from 31.1 million to 37.9 million in the same period 70 Table 07.10.1: Employed population aged 15 years and over by sex and residence, 1999‐2010 (Million) Period & source National Women Men 1999-2000 7.9 31.1 2002-2003 9.8 34.5 2005-2006 11.3 36.1 2010 16.2 37.9 Source: Labour Force Survey, 2010, BBS Urban Women 2.0 2.5 2.7 3.6 Rural Men 6.7 8.3 8.6 8.8 Women 5.9 7.3 8.6 12.6 Men 24.4 26.3 27.5 29.1 In the urban area, men employed population had increased from 8.3 million in 2002 to 8.8 million in 2010. On the other hand, women labour force increased from 2.5 million to 3.6 million. In rural area men labour force had increased from 26.3 million in 2002 to 29.1 million in 2010. While for women it was respectively 7.3 million and 12.6 million. It is important to note that the participation of the women in employment had increased significantly both in urban and rural areas. 7.11 Employment by Major Occupation Trends and distribution of employed women by major occupations have been described in table 7.11. It is observed from table that in 1990-91, the ‘service workers’ were major occupation having 17.5 percent employed women which was reduced to 8.0% in 2010. Where ‘agriculture’, ‘forestry’ and ‘fisheries’ accounted for 47.6% in 1990-91 and reached to 64.8% in 2010. ‘Production’ and ‘Transport labours’ held, the 2nd higher position for all the years. It varied from 21.8% to 27.8% between the years 1990-91 and 1995-96 Table 07.11: Distribution of employed women 15 years and over by major occupation 1991‐ 2010 Major occupation Total Professional technical Administrative, Managerial Clerical workers Sales workers Service workers Agriculture, Forestry & Fisheries Production, Transport labours Not Adequately defined/ others 1990-91 1995-96 100.0 7.5 0.4 1.5 2.8 17.5 47.6 21.8 0.9 2002-03 2005-06 2010 100.0 7.2 0.1 1.7 5.9 15.6 41.7 19992000 100.0 4.4 0.2 1.4 5.5 17.5 46.3 100.0 4.1 0.0 1.9 2.9 9.7 58.6 100.00 4.38 0.19 1.27 2.08 7.67 68.33 100.0 3.2 0.6 0.6 8.1 8.0 64.8 27.8 24.2 22.8 16.06 14.0 0.01 0.7 - Source: Labour Force Survey 2002-03, 2005-06, 2010 BBS 71 - - 7.12 Employment by Major Occupation and Residence It is observed from the table 7.12 that in 2010 at the national level, among women 64.8% were engaged in agriculture forestry and fisheries followed by production, transport labourers 14.0% and services workers 8.1%. For men 40.1% were agriculture, forestry fisheries occupation followed by production transport workers 26.7% and sales workers 18.1%. During the period of 2002-03, 58.6% of women were engaged in primary sector (agriculture, forestry and fisheries) followed by production and transport labourers were 22.8% and lastly services workers were 9.7% for women. For men, 49.3% were in agriculture, forestry and fisheries occupation followed by production, transport labourers (21.6%) and sales workers (18.2%). Table 07.12: Employed persons 15 years and over by occupation, sex and residence, 2002‐ 03, 2005‐06 and 2010 Major occupation Bangladesh Women Men Total Professional, technical Administrative, managerial Clarical worker Sales worker Service worker Agriculture, forestry, fisheries Production, transport labourer 100.0 4.1 0.0 1.9 2.9 9.7 58.6 22.8 100.0 3.8 0.3 3.9 18.2 3.0 49.3 21.6 Total Professional, technical Administrative, managerial Clerical worker Services workers Sales worker Agri, forestry, fisheries Workers Production, transport laborers 100.0 4.4 0.2 1.3 7.7 2.1 68.3 100.0 4.8 0.6 2.4 5.2 17.9 42.2 16.1 26.7 Total Professional, technical Administrative, managerial Clerical worker Services worker Sales worker Agriculture. forestry, fisheries Production, transport laborer Others 100.0 3.2 0.6 0.6 8.1 8.0 64.8 14.0 0.7 100.0 4.9 1.6 2.4 4.5 18.1 40.1 26.7 2.5 Source: Report on LFS, 2002-2003 and 2005-2006,2010, BBS 72 Urban Women Men 2002-03 100.0 100.0 8.0 6.0 0.1 0.8 3.8 8.2 3.8 28.0 11.7 5.2 42.6 21.8 30.0 30.0 2005-06 100.0 100.0 10.8 9.1 0.3 1.3 2.8 5.8 16.2 8.7 3.2 26.8 34.4 9.7 32.3 2010 100.0 5.8 0.7 1.3 10.5 4.4 48.9 26.5 2.0 (In percentage) Rural Women Men 100.0 2.8 0.0 1.2 2.6 9.0 64.1 20.3 100.0 3.2 0.1 2.5 15.1 2.3 57.9 19.0 100.0 2.4 0.2 0.8 5.0 1.7 78.8 100.0 3.5 0.3 1.4 4.2 15.2 52.3 38.4 11.1 23.0 100.0 8.1 3.3 4.3 4.3 22.6 13.5 40.2 4.4 100.0 2.4 0.6 0.4 7.4 9.0 69.5 10.4 0.4 100.0 4.1 1.1 1.8 4.5 16.8 48.1 22.7 2.0 In urban area for the period of 2010, 48.9% were engaged in agriculture, forestry and fisheries followed by production, transport labourers 26.5% and services workers 10.5% for women. On the other hand, for men 40.2% were in production, transport labourers occupation followed by sales workers 22.6% and agriculture, forestry and fisheries 13.5%. In rural area 69.5% of women were engaged in agriculture, forestry and fisheries followed by production, transport labourers 10.4%, sales workers 9.0% and services workers 7.4%. For men, 48.1% were in agriculture, forestry and fisheries followed by production transport labourers 22.7%, and sales worker 16.8%. On the other hand, in 2002-03, 42.6% were engaged in agriculture, forestry and fisheries followed by production, transport labourers 30.0% and services workers 11.7% for women in urban areas. In rural area, 64.1% were in agriculture, forestry and fisheries followed by production, transport labourers (20.3%) and service workers (9.0%) for women, as against 57.9% in agriculture followed by production, transport labourers 19.0% and sales workers 15.1% for men. 7.13 Employed Persons by Employment Status Table 7.13 shows the employment status by sex and residence. It is observed from the table that the highest 60.1% employed women were unpaid family workers followed by self-employed (15.9%) and regular paid employee (11.7%) in 2005-06. For men, 50.0% were engaged in self-employment category followed by regular paid employee 14.6% and day labourers (agri) 13.3% at national level. In 2010, 56.3% were engaged as unpaid family workers followed self employed in agriculture (15.7%) followed by day labourer (non-agriculture) 2.8% at national level. Table 07.13: Distribution of employed person 15 years and over by employment status, sex and residence, 2005‐06 and 2010 Status of employment Total Regular paid employee Employer Self Employed Day labour (Agriculture) Unpaid family worker Domestic worker/ Maid servant Paid/ Unpaid apprentice Day labour (Non-agriculture) Irregular paid worker Others Total Regular paid employee Employer Self Employed(agriculture) Self Employed(non-agriculture) Unpaid family worker Irregular paid worker Day labour/(Agriculture) Day labour (Non-agriculture) Servant Source: Labour Force Survey 2010, BBS National Women Men 100.0 11.7 0.1 15.9 2.5 60.1 2.3 0.3 4.0 1.5 1.7 100.0 14.6 0.3 50.0 13.3 9.7 0.2 0.6 8.6 2.2 0.6 100.0 8.9 0.2 15.7 9.4 56.3 1.8 2.5 2.8 2.5 100.0 17.0 0.2 25.8 21.7 7.1 3.1 14.2 11.6 0.1 73 Urban Women Men 2005-06 100.0 100.0 33.3 30.5 0.1 0.3 29.9 45.3 0.7 2.7 22.3 5.6 3.6 0.1 0.3 0.8 6.1 11.3 1.5 2.0 2.4 0.7 2010 100.0 100.0 24.0 32.9 0.1 0.3 6.2 6.5 8.4 27.3 48.2 4.0 4.4 6.3 0.9 4.8 4.6 18.5 3.2 0.2 Rural Women Men 100.0 5.0 0.1 11.6 3.0 71.8 2.0 0.3 3.3 1.3 1.4 100.0 9.6 0.3 51.5 16.6 11.0 0.2 0.5 7.7 2.7 0.6 100.0 4.5 0.2 18.5 9.7 58.6 1.1 2.9 2.2 2.3 100.0 12.2 0.2 31.6 20.0 8.0 2.2 17.1 9.5 0.1 Some urban-rural variation in respect of employment status is noticeable in 2005-06. In the urban areas, the highest 33.34% women were regular paid employees followed by 29.86% self-employed and 22.31% unpaid family workers. Among men, 45.28%, were self-employed followed by 30.54% regular paid employees and 11.30% day labourers (non- agriculture). On the contrary, in the rural area the highest 71.77% women were engaged in unpaid family worker followed by 11.55% self employed and 5.01% were regular paid employee. There exists an urban-rural variation in employment by sex. 7.14 Employment by Broad Economic Sector Employed persons 15 years and over by sex and broad economic sectors, 2005-06 and 2010 have been shown in table 7.14. From the table it is observed that of the total employed women in 2010, the highest 64.84% were engaged in agriculture sector followed by 35.2% were in non-agriculture and 21.9% were in service sector, 11.8% were engaged in manufacturing sector and the rest were in other industries. On the other hand, among men as high as 60.7% were engaged in non-agriculture followed by 41.1% were service sector and 40.2% were in the agriculture sector. Besides 12.7 percent were engaged in manufacturing sector and the rest (6.9%) were in other industry in the year 2010. Table 07.14: Employed person 15 years and over by sex and economic sectors, 2005‐06 and 2010 Broad economic sector Both Number (000) (%) Total Agriculture Non- Agriculture Service Other industry Manufacturing 47356 22767 24859 17714 1651 5224 100.0 48.1 51.9 37.4 3.5 11.0 Total Agriculture Non- Agriculture Service Other industry Manufacturing 54084 25727 28705 19119 2855 6731 100.0 47.6 53.1 35.4 5.3 12.4 Women Number (%) (000) 2005-2006 11278 100.0 7683 68.1 3595 31.9 2183 19.4 114 1.0 1298 11.5 2010 16202 100.0 10506 64.8 5705 35.2 3546 21.9 251 1.6 1907 11.8 Source: Labour Force Survey 2005-06, and 2010 BBS 74 Men Number (000) (%) 36080 15084 20996 15532 1538 3926 100.0 41.8 58.2 43.1 4.3 10.9 37882 15221 23000 15572 2604 4824 100.0 40.2 60.7 41.1 6.9 12.7 The same pattern is observed during the year of 2005-06. Among women, the highest 68.1% were engaged in agriculture sector followed by 31.9% were in non-agriculture sector and 19.4% were in service sector. But there were some variations in the pattern for men, as high as 58.2% were engaged in non-agriculture sector followed by 41.8% in agriculture and 43.1% in service sector. 7.15 Employed by Main Industries It is apparent from the table 7.15 that in 2010 at the national level as high as 64.8% employed women were engaged in agriculture, forestry and fishing industry followed by 11.8% in manufacturing industry. The other notable industries wholesale and retail trade were (6.3%) and education services (2.0%). For men the highest 40.2% were engaged in agriculture, forestry, fishing industry followed by 17.2% wholesale, and retail trade sector and 12.8% were in manufacturing sector for the year 2010. In the urban areas, the highest 48.90% women were engaged in agriculture, forestry and fishing followed by 23.11% manufacturing. Men 21.97% were in wholesale and retail trade followed by 19.38% manufacturing industries and 13.03% were transport storage and communication industry. In the rural area, 69.51% women were engaged in agriculture, forestry and fishing compared to 48.17% men. Employment of men in manufacturing was 10.76% and 8.46% for women. Table 07.15: Distribution of employed persons 15 years and over by major industries by sex and residence, 2005‐06 and 2010 Major industry National Women Men Total Agriculture hunting and forestry Fishing Mining and quarrying Manufacturing Electricity, gas, water Contraction Wholesale and retail tirade Hotel and restaurant Transport, storage, communication Bank, insurance & finance 100.0 66.54 1.59 0.06 11.51 0.03 0.92 3.58 0.45 0.58 1.02 75 100.0 39.27 2.54 0.12 10.88 0.20 3.94 18.58 1.83 10.84 1.09 Urban Women Men 2005-2006 100.0 100.0 33.86 8.48 0.36 0.89 0.04 0.12 24.58 17.38 0.05 0.41 0.95 5.76 6.11 28.39 0.87 2.65 1.32 14.83 2.80 2.88 Rural Women Men 100.0 76.61 1.77 0.07 7.48 0.02 0.91 2.80 0.33 0.36 0.47 100.0 48.86 3.05 0.12 8.87 0.14 3.37 15.53 1.58 9.59 0.53 Major industry Real estate, rant, business activities Public administration Education services Health a social workers Community, social & personal service activities Total Agriculture, forestry and fishing Mining and quarrying Manufacturing Electricity, gas, steam & air conditioning supply Water supply; sewerage, waste management and remediation act Construction Wholesale and retail trade; repair of motor vehicles and motors Transportation and storage Accommodation & food service activities Information and communication Financial and insurance activities Real estate activities and rent Professional,scientific & technical activities Administrative & support service activities Public administration and defence ; compulsory social security Education Human health and social work activities Arts, entertainment and recreation Other service activities Activities of households as employers; undifferentiated goods Activities of extraterritorial organizations & bodies National Women Men 0.10 0.63 0.92 2.16 3.04 2.67 1.08 0.67 8.58 4.58 Urban Women Men 0.22 1.49 1.90 4.43 6.76 3.82 2.81 1.43 17.38 7.11 2010 100.0 100.0 48.90 13.57 0.03 0.25 23.11 19.38 0.11 0.51 0.05 0.11 100.0 64.84 0.10 11.77 0.03 0.02 100.0 40.18 0.25 12.75 0.24 0.06 1.40 6.34 6.31 17.24 1.42 4.12 1.51 0.35 0.02 0.32 0.01 0.14 0.27 0.22 9.87 2.05 0.14 0.83 0.09 0.25 1.17 1.33 2.01 1.02 0.04 4.43 5.22 0.00 Rural Women 0.07 0.62 1.89 0.54 5.87 Men 0.36 1.45 2.31 0.43 3.80 100.0 69.51 0.12 8.46 0.01 0.01 100.00 48.17 0.24 10.76 0.16 0.04 8.75 21.97 1.40 6.99 5.58 15.82 1.06 0.41 0.03 0.95 0.00 0.14 0.65 0.65 13.03 2.73 0.24 2.22 0.29 0.65 2.98 2.66 1.64 0.33 0.02 0.14 0.02 0.14 0.16 0.10 8.92 1.84 0.11 0.41 0.03 0.13 0.62 0.93 2.54 0.70 0.16 4.33 0.43 3.92 1.23 0.05 4.77 8.42 3.15 1.17 0.14 5.83 0.99 1.45 0.97 0.04 4.32 4.28 2.35 0.56 0.16 3.88 0.25 0.01 0.00 0.03 0.00 0.00 7.16 Weekly Hours Worked Table 7.16 provides percentage distribution of employed persons by weekly hours worked. It is revealed from the table that in 2010, among the women, the highest 42.1% worked 40-49 hours in a week followed by 28.0% worked less than 15 hours in a week and 12.1% worked 50-59 hours in a week. On the other hand, among the men, as highest as 42.1% worked 50-59 hours followed by 26.1% worked 4049 hours in a week and 22.7% who worked 60 hours or more in a week. These exists gender issue as women works more hours than that of men in weekly working hours. In the urban area for employed women ,the highest 40.9% worked 40-49 hours in a week followed by 22.6% who worked less than 15 hours and 14.4% worked 50-59 hours in a week. For men, the highest 32.1% worked 40-49 hours in a week followed by 31.9% who worked 50-59 hours in a week and 30.7% worked 60 hours or more in a week. On the other hand, in the rural area, for employed women, the highest 42.5% worked 40-49 hours in a week followed by 29.6% who worked less than 15 hours and 11.4% worked 50-59 hours in a week. 76 Table 07.16: Percentage distribution of employed persons by weekly hours worked by sex and residence, 2005‐2006 and 2010 Weekly hours worked Bangladesh Women Men Total <15 hrs 15-19 20-29 30-39 40-49 50-59 60 + hrs 100.0 39.0 5.9 18.5 9.5 13.3 6.9 6.9 100.0 1.3 1.0 4.3 7.3 29.6 25.4 31.1 Total <15 hrs 15-19 20-29 30-39 40-49 50-59 60 +hrs 100.0 28.0 0.9 8.8 1.1 42.1 12.1 7.1 100.0 3.8 1.7 2.2 2.3 26.1 42.1 22.7 Urban Women Men 2005-2006 100.0 100.0 17.1 0.6 2.2 0.4 12.8 2.3 15.3 5.1 24.0 28.8 12.7 21.1 15.9 41.5 2010 100.0 100.0 22.6 1.9 0.6 0.8 7.7 1.4 1.4 1.9 40.9 32.1 14.4 31.9 12.3 30.7 Rural Women Men 100.0 45.8 7.1 20.2 7.8 10.0 5.1 4.1 100.0 1.6 1.2 4.9 8.0 29.8 26.7 27.9 100.0 29.6 0.9 9.2 0.9 42.5 11.4 5.6 100.0 4.4 2.0 2.4 2.4 24.3 45.2 20.2 Source: Labour Force Survey,2005-2006 and 2010 BBS 7.17 Growth of Labour Force by Industries The growth rate of employed population by industry and sex has been presented in table 7.17. It is revealed from the table that positive growth was found in case of some industries, whereas negative growth was also seen in some industries. Table 07.17: Average annual growth rate by industries and sex, 2005‐2006 & 2010 Major industry 2002-03 to 2005-06 Total Agriculture, hunting and Forestry Fishing Mining and quarrying Manufacture Electricity, gas and water supply Construction Wholesale and retail trade: repair of motor vehicles, motor Hotel and restaurants Transport, storage, communications Financial intermediation Real estate, renting and business activities Public administration and defense Education Health & social workers Community, social and personal service & other activities 77 Both Women Men 2.23 -0.33 1.60 -24.64 6.35 -8.12 -0.37 5.18 8.14 9.66 31.49 7.20 -3.71 3.29 -10.44 0.95 4.63 9.32 119.29 91.29 -8.70 -27.88 2.35 23.48 15.62 38.21 82.24 16.26 6.96 2.55 -5.81 -11.85 1.52 -4.23 -3.74 18.07 14.18 -6.74 -0.56 4.39 7.64 9.37 24.32 6.86 -4.84 3.60 -12.28 13.34 Major industry 2005-06 to 2010 Total Agriculture, Forestry & related works Mining and quarrying Manufacturing Electricity, gas, water Construction Wholesale and retail trade Hotel and restaurant Transport, storage, communication service Bank, insurance & finance Real estate, rent, business activities Public administration Education services Health & social workers Community, personal service household sector & others Source: Labour Force Survey, 2005-2006 and 2010 BBS Both Women Men 3.32 4.29 18.98 6.34 12.04 13.52 1.53 3.89 3.81 -8.28 24.47 -12.31 -0.37 7.92 6.30 9.06 8.41 22.18 9.62 27.46 19.51 23.39 2.34 32.99 -20.32 45.17 -26.52 -1.27 8.58 11.96 1.22 1.79 18.44 5.15 11.14 13.01 -0.66 4.01 -0.78 -5.63 22.97 -10.90 -0.08 -7.48 2.28 The growth rate of employment by industries between 2005-06 to 2010 for women shows the highest positive growth rate occurred in ‘real state rent and business’ sector 45.17% followed by ‘transport, storage and communication’ sector (32.99%). For men, the highest growth rate was held in real estate, rent, business sector 22.97% followed by mining and quarrying sector 18.44% and construction sector 13.01%. 7.18 Average Weekly Hours Worked by Employment Status Table 7.18 highlights weekly average hours worked by employed persons by status in employment by sex and residence. It is observed that some gender differentials existed in case of weekly hours of work by employment status. At national level, for women the highest 54 hours of work was found in case of employer and day labourer (agriculture) in 2010. On the other hand, in case of men, the highest average weekly hours of work was observed 56 hours as irregular paid worker followed by employer 55 hours worked per week. Table 07.18: Average weekly hours worked of employed persons 15 years and over by status, sex and residence, 2005‐2006 and 2010 (Hours) Status of employment Total Regular paid employee Employer Self- employed Unpaid family worker Irregular paid worker Day labourer (agriculture) Day labourer (non-agriculture) Domestic worker/Maid worker Paid/Unpaid apprentice National Women Men 26 52 47 34 15 41 44 48 36 38 52 54 53 52 49 53 51 52 51 49 78 Urban Women Men 2005-06 39 54 54 54 73 58 37 56 16 52 40 55 49 51 46 51 42 48 37 44 Rural Women Men 23 49 38 33 15 41 44 48 35 38 51 55 51 51 48 52 51 52 52 51 Status of employment Total Regular paid employee Employer Self employed (agriculture) Self employed (non-agriculture) Unpaid family worker Irregular paid worker Day labourer (agriculture) Day labourer (non- agriculture) Source: Labour Force Survey, 2010, BBS National Women Men 35 52 54 49 47 23 53 54 51 51 52 55 51 53 29 56 54 54 Urban Women Men 2010 38 53 53 53 51 56 48 49 49 55 24 33 54 57 54 54 50 56 Rural Women Men 34 50 55 49 47 23 52 54 52 50 52 55 51 52 28 55 54 53 In urban areas, 2010 the highest 54 hours of work done by the irregular paid women workers and day labourers (agri) followed by 53 hours of work by the regular paid employees . On the other hand for men, the highest 57 hours of work as irregular paid worker followed by day labourers in non-agriculture sector and employer both (56 hours worked per week). In rural area for women, the highest 55 hours of work was found for employer followed by day labourers in agriculture (54 hours) as against the highest 55 hours of work as employer and irregular paid worker, followed by 54 hours’ work weekly by day labourers in agriculture sector for the men. 7.19 Average Weekly Hours Worked by Industry Average weekly hours worked by major industry for the period 2005-06 & 2010 have been presented in the table 7.19. It is seen from the table that at the national level for women in 2010, the highest average weekly hours of work was in information and communication (54 hours) followed by construction, professional, scientific and technical activities, human health and social work (50 hours) and lastly manufacturing (48 hours). On the other hand, among men, the highest average weekly hours of work was found for accommodation and food service activities & 56 hours followed by transportation and storage and transport storage (55 hours) whole sale and retail trade,, professional, scientific and technical activities (53 hours) . Some gender variations in weekly hours work by employed persons is noticeable. In the urban areas in 2010, the highest average weekly hours of work (56 hours) was found in accommodation and food service activities for women followed by 54 hours in information and communication and 53 hours in manufacturing. For men, the highest average weekly hours of work 58 hours in accommodation and food service activities followed by 57 hours in transportation and storage and 56 hours in case of wholesale and retail trade and 54 hours in manufacturing, water supply and other service activities. On the other hand in rural area for women, the highest (57 hours) weekly hours work was in arts, entertainment and recreation followed by 54 hours in case of professional, scientific and technical activities and information and communication and 50 hours in construction, public administration and defense. 79 Table 07.19: Average weekly hours worked by industry, gender and residence, 2005‐06 & 2010 Major industry National Women Men 2005-2006 Total 26 52 Agriculture, Hunting & Forestry 18 48 Fishing 20 48 Mining & Quarrying 48 57 Manufacture 49 56 Electricity, gas & water supply 68 51 Construction 36 51 Wholesale & retail trade, repair of Motor vehicles, 35 56 motor Hotel & restaurants 44 61 Transport, storage & communications 53 57 Financial intermediations 43 47 Retail estate, renting & business activities 45 51 Public administration & defense 43 49 Education 44 49 Health & social work 45 52 Other community, social & personal services 41 53 activities 2010 Total 35 51 Agriculture, forestry and fishing 31 49 Mining and quarrying 31 48 Manufacturing 48 51 Electricity, gas, steam and air conditioning supply 45 49 Water supply; sewerage, waste management and 38 51 remediation act Construction 50 52 Wholesale and retail trade; repair of motor vehicles 46 53 and mot Transportation and storage 43 55 Accommodation and food service activities 44 56 Information and communication 54 50 Financial and insurance activities 46 48 Real estate activities 16 50 Professional, scientific and technical activities 50 53 Administrative & support service activities 46 49 Public administration and defense; compulsory 46 49 social security Education 47 48 Human health and social work activities 50 52 Arts, entertainment and recreation 44 49 Other service activities 26 53 Activities of households as employers; 32 53 undifferentiated good Extraterritorial organizations and bodies 50 Source: Labour Force Survey, 2005-06 and 2010 BBS 80 Urban Women Men Rural Women Men 39 24 18 49 56 71 34 36 54 47 47 53 57 51 51 57 23 17 50 48 45 66 37 35 51 48 48 58 55 52 51 55 49 53 43 44 47 45 50 40 64 56 45 51 49 47 51 54 40 54 43 46 40 44 39 51 60 57 50 51 49 51 52 53 38 29 38 53 44 45 53 49 50 54 49 54 34 32 31 44 48 24 50 49 47 50 50 50 52 48 53 56 50 46 51 52 43 56 54 47 38 45 43 57 58 53 48 52 52 48 49 43 40 54 46 16 54 47 50 54 55 48 49 41 55 49 50 47 48 19 38 38 48 51 47 54 53 47 51 57 22 28 47 53 50 52 53 - 50 - 48 7.20 Hours Worked by Occupation Average hours worked by employed population in major occupation can be seen from table 7.20. It is observed from the table that among the total employed women, the highest average hours of work was done by others 49 hours followed by professional technical 47 hours and 46 sales worker and 45 administrative managerial, clerical worker occupation. Among the men, the highest 53 hours of work was found for production and transport labourer followed by 52 hours of worked for service workers, sales worker and others and 51 hours of work done by clerical worker. The gender variations in weekly working hour by occupation are noticeable. In the urban area, among the women the highest 50 hours’ work was done by production and transport labourer followed by professional, technical, administrative manager and sales worker 47 hours’. On the other hand, for men, the highest 55 hours’ work was found for production and transport labourer and sales worker followed by service worker occupation (54 hours) and professional technical and others (49 hours) occupation. In the rural area, among the women, professional and technical (47 hours) followed sales workers (46 hours) occupation. Among the men, the highest 52 hours worked by service worker and the workers in clerical service and sales occupation 51 hours per week. Table 07.20: Employed persons 15 years and over by average weekly hours worked by occupation, sex & residence, 2005‐2006 and 2010. (Hours) Major occupation National Women Men Total Professional, technical Administration, managerial Clerical workers Sale workers Service workers Agriculture forestry & fisheries Production transport labourers Others 26 45 43 40 36 47 18 47 56 52 50 58 49 54 57 48 55 50 Urban Women Men 2005-2006 39 55 46 50 41 57 42 48 37 56 48 59 23 48 52 56 56 44 2010 38 53 47 49 47 51 44 50 47 55 42 54 29 49 50 55 49 53 Total 35 51 Professional, technical 47 49 Administration, managerial 45 50 Clerical workers 45 51 Sale workers 46 52 Service workers 37 52 Agriculture forestry & fisheries 31 49 Production transport labourers 41 53 Others 49 52 Source: Report on labour Force Survey 2002-2003, 2005-2006,2010, BBS 81 Rural Women Men 22 43 44 38 35 46 17 43 56 51 50 58 50 53 56 48 54 53 34 47 45 45 46 36 46 32 35 50 49 48 51 51 52 51 49 52 7.21 Employment in Garments Industry Employment in garments industry under BGMEA member industries by sex have been presented in table 7.21. It is noticed from the table that in 2001-02 women employees in garment industry was three times higher than men employees. The ratio was remaining same for the year 2002-03. For the year 2003-04 and 2004-05 the ratio of women participation was increased, it was about four times higher than male employees. In the year of 2005-08, the ratio of women employee was again increased and it was more than five times higher than men employee. It is important to note that the women participation in garment industry is significantly increasing over times. In 2010, the number of workers in RMG sector was 3.60 million of which 2.88 million (80 percent) were women. Table 07.21: Employment in garments industry by gender, 2001‐2010 Year 2001-02 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 Total (Million) 1.80 2.00 2.00 2.00 2.20 2.40 2.80 3.50 3.60 Women (Million) 1.35 1.50 1.56 1.60 1.87 2.04 2.32 2.87 2.88 Men (Million) 0.45 0.50 0.44 0.40 0.33 0.36 0.48 0.63 0.72 % Women 75 75 78 80 85 85 83 82 80 Source: BGMEA 7.22 Overseas Employment Overseas employment by sex and districts 2008-2010 is shown in table 7.22. It is observed from the table that the highest overseas women employment 3756 was received by Dhaka district followed by Manikganj (2586) in 2008. In 2010, Dhaka also recorded the highest 4459 overseas women employment and followed by Manikganj (2934). 82 Table 07.22: Overseas employment by sex and zila (district), 2008‐2011 Zila Bangladesh Barguna Barisal Bhola Jholakati Patuakhali Projpur Bandarban Brahmanbaria Chandpur Chittagong Comilla Cox,s Bazar Feni Habigonj Khagrachhari Lakshmipur Maulvi bazer Noakhali Rangamati Sunamgonj Sylhet Dhaka Faridpur Gazipur Gopalgonj Jamalpur Kishoregonj Madaripur Manikgonj Munshigonj Mymensingh Narayangonj Narsindgdi Netrokona Rajbari Shariatpur Sherpur Tangail Bagerhat Chuadanga Jessore Jhenaidah Khulna Kushtia Magura Meherpur 2008 Women 20814 116 540 93 128 177 161 4 538 283 164 773 41 46 233 7 71 87 119 5 72 93 3756 1309 1262 110 91 508 286 2586 668 422 1488 967 109 226 353 50 342 107 86 427 260 158 130 74 44 Men 831635 2758 11631 6464 2806 3154 4271 205 36225 33456 88219 80173 8173 23706 14920 594 19457 16693 32935 310 9096 19755 33393 14690 18253 6333 8767 16839 11220 13501 25291 18956 19550 22171 3539 6174 1228 1949 42033 3733 4613 15409 9688 3628 11908 4958 6829 2009 Women Men 22224 443127 150 1436 695 5435 120 3985 158 1395 198 1436 185 2324 191 683 22475 337 18031 162 58145 893 50256 30 5849 53 14571 261 7886 9 531 72 11809 110 12248 110 22330 2 282 69 5479 98 13888 3839 16609 1423 6294 1103 7887 156 2793 97 3961 592 8208 370 5559 2780 6477 736 12383 447 8198 1617 8451 1078 10826 106 1872 250 2650 458 6641 63 884 282 19622 185 1827 82 1495 348 5001 202 3061 165 1856 132 4067 79 1778 43 1769 83 2010 Women 27703 264 938 179 221 366 265 4 978 399 108 1048 10 41 418 12 104 148 166 12 119 99 4459 1974 1488 179 146 855 610 2934 844 566 1931 1241 138 293 614 91 334 218 91 433 231 237 157 118 37 Men 355444 1273 4413 3302 1224 1152 2088 182 18888 16153 48376 45292 4593 12216 6040 482 10939 10562 18067 256 4183 11358 14180 4978 6524 1891 2070 6603 4318 5583 10954 5910 7280 8673 1148 1891 4753 482 15424 1489 773 2931 1524 1579 2056 1205 1195 2011 Women Men 30576 529727 295 1626 976 6294 204 5441 272 1665 381 1536 300 3026 24 304 1335 29764 486 25486 122 73311 1023 66106 38 9608 59 19577 595 8928 3 616 109 16818 161 12932 172 26719 22 422 126 7140 99 14468 4435 18134 2317 7792 1622 9281 206 2835 146 2943 1096 11751 598 6510 2946 7819 833 14773 711 9266 2011 9867 1678 14374 183 1770 321 2881 612 6440 95 642 406 23190 244 2173 77 1221 518 4351 257 2616 231 1852 179 3366 126 1674 55 2271 Zila 2008 2009 Women Men Women Men Narail 64 4044 62 1413 Satkhira 135 4147 132 1433 Bogra 138 13979 107 4601 Dinajpur 49 2305 32 1194 Gaibandha 73 4116 71 1663 Joypurhat 35 2363 23 798 Kurigram 14 1771 17 886 Lalmonirhat 12 835 18 461 Naogaon 141 6839 126 2623 Natore 69 5198 68 1839 Nawabgonj 22 10756 21 3053 Nilphamari 36 1317 63 762 Pabna 154 12825 129 4823 Panchagarh 6 380 18 232 Rajshahi 87 5420 88 1705 Rangpur 58 3806 77 1874 Sirajgonj 135 10586 125 3072 Thakurgaon 16 1294 19 544 Source: Bangladesh Manpower Employment and Training (BMET) 2010 Women 102 162 177 74 94 57 32 20 125 78 24 57 186 28 101 89 134 45 Men 914 1031 2447 772 1086 384 537 254 1395 950 1928 551 2960 178 890 917 1430 367 2011 Women 120 237 182 112 93 54 52 37 163 102 39 76 168 31 102 91 170 42 Men 1505 1491 3709 1008 1596 586 745 306 2082 1380 3162 681 4404 248 1242 1193 2335 475 7.23 Salaried Employees by Income‐Groups Monthly income of salaried employees of different income groups has been presented in table 7.23. It is observed from the table that among the women salaried employees, in 2010 the highest 17.0% drew monthly salary in the income group Tk. 10000-12499 followed by income group Tk. 4000-4999 (10.93%) and Tk. 8000-8999 (10.23%). Among the men, the highest 21.9% drew salary in the range Tk. 10000-12499 followed by income group Tk. 8000-8999 (12.19%) and income group Tk. 4000-4999 (11.69%). There exists some variation in the income of salaried workers by gender. In the rural area, among the women, the highest 19.3% drew monthly salary in the income group Tk. 10000-12499 followed by income group Tk. 9000-9999 (12.75%). Among the men, the highest 25.1% was in the income group Tk. 10000-12499 followed by income group Tk. 4000-4999 (11.52%) and income group Tk. 8000-8999 (11.10%). In the urban area, among the women, the highest 15.6% were in the income group Tk. 10000-12499 followed by income group Tk. 3000-3999 (11.82%) and income group 2000-2499 (11.70%). On the contrary, among the men, the highest 18.0%, draw monthly salary in the income group Tk.10000-12499 followed by income group Tk. 8000-8999 (13.49%) and income group Tk.4000-4999 (11.89%). 84 Table 07.23: Percent distribution of salaried workers by monthly income by sex and residence, 2002‐2003 ,2005‐06, 2010 Monthly income (In Taka) National Women Total 100.0 10.9 9.1 18.4 21.5 9.6 10.7 3.2 3.9 6.4 4.4 1.6 0.4 100.0 3.5 5.4 9.0 12.0 7.3 12.3 6.3 10.5 12.6 12.8 5.4 2.9 Total 100.00 14.77 29.17 18.47 8.61 6.25 5.99 3.61 2.52 1.90 2.72 6.00 100.00 10.28 12.44 15.58 12.65 12.32 9.68 6.74 5.16 2.16 3.75 9.23 <750 751-1000 1001-1500 1501-2000 2001-2500 2501-3000 3001-3500 3501-4000 4001-5000 5001-7500 7501-1000 10000+ < 1000 1001-2000 2001-3000 3001-4000 4001-5000 5001-6000 6001-7000 7001-8000 8001-9000 9000-10000 10000+ Urban Women Men 2002-2003 100.0 100.0 6.5 2.1 7.5 3.4 15.6 6.0 18.6 9.3 9.5 5.7 11.6 10.8 4.1 6.1 6.2 9.4 8.7 14.9 8.0 17.6 2.7 9.1 0.9 5.4 2005-2006 100.00 100.00 23.61 13.74 24.34 14.22 17.11 17.28 9.95 15.47 9.08 13.63 7.76 10.59 5.04 6.56 1.92 4.00 0.87 1.52 0.32 1.57 0.00 1.42 Men 2010 100 100 100 100 <1500 0.90 0.51 0.23 0.31 1500-1999 3.69 1.09 3.18 0.94 2000-2499 8.98 3.12 11.70 3.34 2500-2999 6.61 3.19 7.61 2.71 3000-3999 10.02 6.51 11.82 6.88 4000-4999 10.93 11.69 11.36 11.89 5000-5999 3.27 5.63 2.95 4.59 6000-6999 6.75 10.55 6.02 11.06 7000-7999 6.26 4.23 6.70 3.96 8000-8999 10.23 12.19 8.98 13.49 9000-9999 8.49 6.73 5.80 4.31 10000-12499 17.0 21.9 15.6 18.0 12500-14999 1.7 3.0 1.7 3.4 15000-17499 1.3 2.8 1.8 3.8 17500-19999 0.5 1.0 0.6 1.5 20000-24999 1.6 2.9 2.0 4.5 25000-29999 0.4 0.7 0.5 1.0 30000-34999 0.5 0.9 0.7 1.5 35000+ 0.8 1.6 0.9 2.8 Source: Report on the Labour Force Survey, 2002-03, 2005-2006 and 2010, BBS Total 85 Rural Women Men 100.0 14.0 10.1 20.4 23.5 9.6 10.0 2.5 2.3 4.7 1.9 0.8 0.0 100.0 4.4 6.8 11.1 14.0 8.4 13.5 6.4 11.4 10.9 9.3 2.6 1.1 100.00 10.46 31.52 19.13 7.96 4.87 5.13 2.91 2.81 2.40 3.89 8.92 100.00 6.80 10.65 13.86 9.82 11.00 8.77 6.92 6.33 2.82 5.95 17.08 100 2.15 4.49 4.49 5.03 7.18 10.23 3.95 7.90 5.75 12.21 12.75 19.3 1.8 0.6 0.5 0.7 0.1 0.1 0.6 100 0.67 1.21 2.95 3.57 6.21 11.52 6.46 10.15 4.44 11.10 8.68 25.1 2.6 2.0 0.5 1.5 0.3 0.4 0.6 7.24 Wage Rate by Sex Average wage rate of day labourers has been seen in table 7.24. It is observed from the table that wage of women were lower than men for all sorts of labour. In 2010, the wage rate was increased compared to 2002-03. In 2010, wage rate for both women and men significantly increased. At the national level it was Tk.184 for men and Tk. 170 for women. It is notable that the gender gap in wage rate in rural areas was much less than in urban area. In the rural area wage rate of women was Tk. 198 as against Tk. 200 for men whereas in the urban area it was Tk 161 for women compared to Tk. 180 for men. Table 07.24: Average wage rate (Taka) of day labourers (15 years and above) by gender and residence, 1999‐2000, 2002‐03 and 2010 Year Total National Women Men Total Urban Women Men Total Rural Women Men 1999-2000 61 38 65 59 35 63 80 59 88 2002-03 62 39 64 60 37 62 70 42 75 2010 183 170 184 179 161 180 200 198 Source: Statistical Profile of Women in Bangladesh,; Labour Force Survey, 2002-2003,2010 BBS 200 7.25 Day Labourers by Weekly Income Weekly income of the agriculture and non-agricultural labourers has been presented in table7.25. It is notable that there exist variations among men & women and urban & rural with respect to weekly income of labourers. Among the men the highest 39.5% had income between Tk.501-1000 whereas among women the highest 32.9% had income between Tk.1501-2000. In rural area, for women the highest 30.2% had income between Tk. 1501-2000 and in the urban area for the women the highest 41.4% had income in the same range. At national level among the agricultural women labourers the highest 28.5% had income between Tk.501-1000 whereas, among non-agricultural women labourers the highest 41.0 % had income between Tk.1501-2000. At national level among the agricultural men labourers the highest 43.8% had income between Tk.501-1000 whereas no-agricultural men labourers the highest 37.1% in income group Tk.1001-1500. Table 07.25: Percentage distribution of day labour by weekly income and sex, 2005‐06 and 2010 Weekly income (Tk) National Women Men Urban Women Men Rural Women Men 2005-06 Total 100.0 100.0 100.0 100.0 100.0 100.0 < 500 81.7 49.9 68.2 34.2 86.1 52.7 501-1000 16.1 43.2 29.2 52.9 11.7 41.5 1001-1500 1.7 5.6 2.1 10.4 1.6 4.7 1501-2000 0.0 0.3 0.0 1.1 0.0 0.1 2000+ 0.6 1.1 0.4 1.4 0.6 1.0 86 Weekly income (Tk) National Women Men Total 100.0 100.0 <= 500 21.4 9.6 501-1000 27.9 39.5 1001-1500 9.6 31.5 1501-2000 32.9 16.0 2001+ 8.2 3.4 Day labourer (agriculture) Total 100.0 100.0 <= 500 28.1 12.8 501-1000 28.5 43.8 1001-1500 11.5 26.9 1501-2000 23.7 14.4 2001+ 8.1 2.1 Day labourer (non-agriculture) Total 100.0 100.0 <= 500 15.4 5.8 501-1000 27.4 34.1 1001-1500 7.9 37.1 1501-2000 41.0 18.0 2001+ 8.3 5.1 Source: Labour Force Survey, 2005-06, 2010, BBS Urban Women Men 2010 100.0 100.0 16.3 6.7 22.0 33.5 10.5 33.8 41.4 20.1 9.8 5.9 Rural Women Men 100.0 23.0 29.7 9.4 30.2 7.7 100.0 10.4 41.0 30.9 14.9 2.8 100.0 11.9 24.3 18.6 37.7 7.4 100.0 10.7 42.1 27.6 17.8 1.8 100.0 29.5 28.9 10.9 22.5 8.2 100.0 13.0 44.0 26.9 14.1 2.1 100.0 17.2 21.6 8.9 42.1 10.3 100.0 5.6 31.3 35.4 20.7 7.0 100.0 14.4 30.9 7.3 40.4 7.0 100.0 5.8 35.7 38.1 16.3 4.0 7.26 Monthly Variation in Daily Wage Rate Trend in average daily wage rate (without food) of agricultural laboruers have been presented in table 7.26. It is revealed from the table that during the time period of 2008-09 to 2010-11 daily wage rate for both women and men were increasing and it was as usual pattern of wage rate that the men wage rate was always higher than that of women. Table 07.26: Average daily wage rate of agriculture labour by sex. 2008‐11 Period/Month 2008-09 July 2008 August 2008 September 2008 October 2008 November 2008 December 2008 January 2009 February 2009 March 2009 April 2009 May 2009 June 2009 Without Food Women Men 100 102 102 103 105 106 107 107 107 110 112 105 139 142 142 142 144 146 147 148 148 152 154 150 87 Women 85 84 89 89 90 92 92 93 93 95 99 98 With Food Men 123 126 127 127 131 132 133 134 135 139 140 136 Without Food Women Men Period/Month 2009 -10 July 2009 August 2009 September 2009 October 2009 November 2009 December 2009 January 2010 February 2010 March,2010 April 2010 May 2010 June 2010 2010-11 July 2010 August 2010 September 2010 Source: Agriculture Wing. BBS Women With Food Men 108 111 107 106 108 111 117 114 109 122 131 122 150 154 147 147 158 154 164 162 161 183 196 170 104 103 99 97 110 103 100 109 105 116 129 116 138 145 133 137 148 145 153 154 153 174 188 169 128 128 131 181 182 183 116 120 109 162 168 160 7.27 Unemployment Rate by Sex The unemployment rate of population for the year 2005-06 and 2010 has been shown in table 7.27. According to the labour force survey 2010, the rate of unemployment stands at 4.5% and it was 4.3% in 2005-06. In the urban area the unemployment rate was 6.5 percent in 2010 and it was 4.3 percent in 2005-2006. In the rural area, the rate of unemployment was 4.0% in 2010, which was 4.2% in 2005-06. There exists gender differential in the unemployment rate. The rate of unemployment for men was 4.1% in 2010 and it was 3.4% in 2005-06. In the urban area, the unemployment rate for men was 3.6% in 2005-06 and it increased 5.7% in 2010. Table 07.27: Unemployment rate of population (15+) by sex and residence, 2002‐03, 2005‐ 06 and 2010 (Thousand) Year/Area Both No. of unemployed population Unemployment rate (%) National Urban Rural 2104 505 1599 4.3 4.3 4.2 National Urban Rural 2568 858 1710 4.5 6.5 4.0 Men No. of unemployed population 2005-2006 1250 315 935 2010 1595 524 1011 Source: Labour Force Survey 2005-2006, 2010 BBS 88 Unemployment rate (%) Women No. of unemployed Population Unemployment rate (%) 3.4 3.6 3.3 854 190 664 7.0 6.7 7.2 4.1 5.7 3.6 973 334 639 5.7 8.3 4.9 7.28 Unemployment Rate by Age Group Unemployment rates by age groups, sex and residence has been shown in table7.28. It is revealed from the data that, at the national level, for both women and men together the highest unemployment rate was found 10.6% in age group 15-19 years followed by 7.1% in age group 20-24 and 5.4% in age group 2529. This pattern also found in case of male. On the other hand, for women, the highest rate of unemployment was observed for age group 15-19 (11.4%) followed by age group 20-24 (7.7%) and 2529 (7.3%) in 2010. This pattern of unemployment rate was gradually decreasing with the increase of agegroup. It is important to note that unemployment rate is lower in all age groups in the urban area compared to rural area. Table 07.28: Percentage of unemployment rates by age groups, sex and residence, 2005‐06 and 2010. Broad age group Urban Women Men 2005-2006 Total 4.3 7.0 3.4 4.3 6.7 3.6 15-19 8.7 21.5 6.5 8.0 9.0 7.7 20-24 9.7 10.7 9.3 9.4 10.0 9.1 25-29 6.2 7.2 5.7 8.7 10.1 8.1 30-34 2.9 5.2 2.0 2.3 4.8 1.5 35+ 1.9 4.5 1.1 1.7 4.2 1.1 2010 Total 4.5 5.7 4.1 6.5 8.3 5.7 15-19 10.6 11.4 9.8 12.4 13.4 11.7 20-24 7.1 7.7 6.8 9.9 11.5 8.7 25-29 5.4 7.3 4.3 7.9 10.8 6.3 30-34 4.2 4.8 3.8 5.6 6.9 5.0 35+ 2.4 2.7 2.4 3.9 3.8 3.9 Source: Report on Labour Force Survey 2002-2003, 2005-2006,2010, BBS Both National Women Men Both Both Rural Women Men 4.2 8.9 9.8 5.3 3.1 2.0 7.2 30.3 10.8 6.2 5.4 4.8 3.3 6.3 9.4 4.8 2.8 1.1 4.0 10.1 6.3 4.6 3.6 2.0 4.9 10.6 6.4 6.2 4.0 2.4 3.6 9.8 6.2 3.7 3.4 1.9 7.29 Unemployment and Underemployment Unemployed persons and underemployment rates of population aged 15 years and over has been shown in table 7.29 It is observed from the table in 2005-2006 that the under employment rate is 10.9% for men and 68.3% for women. The under employment rate for rural men and women were 12.4% and 77.0% compared to 5.9% and 39.8% for the urban men and women respectively. Under employment rate is lower in all categories for the year 2005-06 compared to the year 2002-03. So, it is notable that the under employment was decreasing over the time period. 89 Table 07.29: Unemployed persons and underemployment rates of population aged 15 years and over by sex and residence, 2002‐2003 and 2005‐06 Economic category Employed persons Unemployed persons (<35 hours/week) Under employment rates (%) Bangladesh Both Women Men (Thousand) Urban Women Men 44322 9844 34478 Rural Both Women 2002-2003 33590 7339 15079 7121 7959 12217 5570 6647 2860 1547 1312 34.2 72.3 23.1 36.4 75.9 25.3 26.7 71.8 16.0 11224 2656 8569 Total employed persons 47357 11277 36080 36132 Unemployed persons 11615 7696 3919 10053 (<35 hours/week) Under employment 24.5 68.3 10.9 27.8 rates (%) Source: Labour Force Survey, 2002-2003, 2005-2006, BBS Men Both 26260 10723 2505 8219 2005-2006 8621 27511 6640 3412 1562 1057 507 77.0 12.4 13.9 39.8 5.9 7.30 Child Labour Child labour force and economic participation rate by girls and boys are given in table 7.30. The child labour force for boys was always higher than girls labour force. Boys labour force was almost three times and more than girls labour force. Almost the same pattern was found for the economic activities, during the mentioned year. Table 07.30: Child labourer and economic activities by girls and boys, 1988, 2005‐06 Year CLF in million Rate of economic activities Girls Boys Girls Boys 1988 0.5 2.9 2.2 6.1 1990 1.8 3.3 0.6 1.4 1995-96 1.2 2.9 3.9 5.0 2002-03 0.8 2.6 10.6 25.6 2005-06 0.9 2.8 5.0 15.0 Source: National Child Labour Survey, 2002-03, and Labour Force Survey 2005-06, BBS 7.31 Persons Engaged by Activity and Average Size of Establishment Persons engaged by sex, activity and average size of establishment has been presented in table 7.31. It is revealed from the table that of the total 11.27 million workers are working in 3.70 million establishments. Among these workers 1.22 million or 10.8% were women. 90 Table 07.31: Total establishments and persons engaged by sex, activity and establishment size Activity Persons Engaged Men Women Mining and quarrying Manufacturing Estab. Total Average establish ment size 2358 12341 14699 1689 8.7 716345 2259235 2975580 450348 6.6 Electricity, gas and water supply 2752 26747 29499 1591 18.5 Construction 2277 33935 36212 3357 10.8 135874 4374451 4510325 2167204 2.1 Wholesale and retail trade Hotels and restaurants Transport, storage and communication Bank, insurance and financial institution Real estate and renting Public administration and defense Education Health and social work Community, social and personal services Bangladesh 30254 664611 694865 234019 3.0 6364 234308 240672 90952 2.6 33839 197971 231810 21645 10.7 6843 120566 127409 40916 3.1 22970 318045 341015 23964 14.2 155611 697715 853326 149528 5.7 49427 181872 231299 61962 3.7 64499 919212 983711 460977 2.1 1229413 10041009 11270422 3708152 3.0 Source: Economic Census 2001 and 2003, BBS Table 07.32.1: Average daily wage rate & monthly earnings of non‐farm workers by industry, 2009‐10. (In Taka) S.l. No 1 Industry 2 Foods & drinks Edible oil mill. Shrimp Processing Rice/Wheat/Spices machine Bidi/tobacco Textile mill Readymade garments Jute textile Leather products Wood works Cane / wooden furniture Printing ,binding and paper production Pharmaceuticals Match factory Plastic products Cement factory Ceramic products Basic metal Engineering workshop Electricity, gas and water supply Construction Wholesale and retail trade Hotel (residential) Restaurant Chinese restaurant All Quarter (Jul-Jan), 2009-10. Monthly Daily wages salary/income Male Female Male Female 3 4 5 6 182 0 3991 2291 152 105 3765 3025 205 180 4171 3367 141 76 2900 1758 100 93 2273 1894 249 169 5932 4069 0 141 4438 3329 223 0 5604 2738 200 122 4202 3254 172 0 3653 3231 216 121 8721 3231 181 0 3738 2658 192 143 6810 4262 200 143 4427 2102 153 113 5079 2398 192 153 9955 4525 220 0 5583 2885 170 0 5198 0 268 0 4097 0 236 0 6001 0 235 160 4799 3934 77 0 4074 2688 100 0 4589 0 167 0 4567 3812 0 0 5743 0 91 4th Quarter (Apr-Jun), 2009-10. Monthly Daily wages salary/income Male Female Male Female 7 8 9 10 187 0 4175 2515 157 120 3957 3200 206 180 4269 3578 149 83 3105 2005 104 98 2511 2034 254 195 6161 4264 0 145 4555 3545 223 0 5777 2867 203 125 4377 3400 185 0 3870 0 229 137 5869 3443 192 0 3953 0 192 145 5697 4567 200 0 4746 2375 159 100 4390 3133 193 0 7166 0 223 0 5112 0 177 0 4981 0 263 0 4213 0 237 0 6044 0 237 167 6029 4108 90 0 3783 2813 100 0 3732 0 169 0 4867 3939 0 0 5840 0 S.l. No All Quarter (Jul-Jan), 2009-10. Monthly salary/income Male Female Male Female 3 4 5 6 143 143 3220 2080 224 143 5555 0 190 0 7750 0 177 0 7550 0 0 0 8753 0 0 0 4156 3375 0 0 8918 9142 Industry 4th Quarter (Apr-Jun), 2009-10. Monthly Daily wages salary/income Male Female Male Female 7 8 9 10 147 148 3358 2186 230 150 5762 0 198 0 7911 0 183 0 7820 0 0 0 9580 0 0 0 4346 3600 0 0 9367 9548 Daily wages 1 2 Tea stall Road transport Water transport Railway Air transport Postal communication Banking and insurance Real-estate , renting and business 0 0 3741 activities Private education 0 0 2442 Private health and social works 230 157 4820 Community social and personal 245 182 5297 services Source: Wage Rate and Earnings of Non-Farm Workers, September, 2011 0 0 0 3878 0 2137 4484 0 240 0 167 2659 5021 2395 4748 4561 261 196 5583 4811 Table 07.32.2: Average daily wage rate & monthly income of non‐farm workers in some specific services by occupation, 2009‐10 S.l. No Occupation All Quarter (Jul-June), 2009-10. Daily wages Monthly salary/income Male Female Male Female 1 01 2 Non-agriculture day labour 3 165 4 126 5 3848 02 Rickshaw/Van puller 212 0 4846 03 Household garbage collector 169 79 2737 6 4th Quarter (Apr-Jun), 2009-10. Daily wages Monthly salary/income Male Female Male Female 2859 7 171 8 137 9 4063 10 0 228 0 5422 0 1800 188 87 3019 2013 3136 04 Sweeper 170 130 3717 2901 176 137 3798 3009 05 Minti 159 0 3514 3233 178 0 3939 3204 06 Cook/Chef 191 149 3442 2575 204 165 3616 2826 07 Household maid/workers 135 104 2301 1861 150 121 2769 2060 08 Barbar 202 0 4702 3900 220 0 5142 3900 09 Night Security guard 130 0 3188 3200 153 0 3549 3200 10 Tailor 209 159 4423 3230 229 182 5065 3732 11 Cobbler/shoe shiner 189 0 4116 0 206 0 4512 0 12 Lock/Key repairer 180 0 4068 0 200 0 4497 0 13 Transport worker 187 0 3994 0 199 0 4421 0 14 Farewalla/ hoawker 189 126 4214 3453 199 138 4482 3063 15 Salesman of footpath 214 117 4654 3770 227 136 5026 3831 16 Retail salesman/women 165 86 3113 1644 175 100 3398 1854 17 Office cleaner 168 104 2333 1851 178 115 2712 1952 18 Typist/stenographer 196 174 4707 3236 215 235 5127 3850 19 Carpenter 230 0 4984 0 252 0 5476 0 20 Blacksmith 203 0 4577 0 215 0 5080 0 21 Rubber stamp maker 180 0 4048 0 202 0 4504 0 22 Gardener 171 140 3044 3060 190 148 3362 3172 23 Electrician 230 0 5480 0 246 0 6023 0 24 Iron man 195 100 4144 1967 215 107 4699 2200 0 209 118 4829 0 25 Canvasser 192 114 4223 Source:Wage Rate and Earnings of Non-Farm Workers, September, 2011 92 CHAPTER 8 Education This chapter contains several sex-disaggregated data on education. Education is one of the most important human basic needs. It also provides a detailed account gender differences in primary, secondary, college, professional, technical and vocational and university education, focusing on changes over time. Adequate and quality statistics on education are vital for the planners and policymakers to formulate effective plans and programs for the development of human resources. In this chapter indicators discussed by sex over time are (i) literacy rate of population 7 years and over (ii) adult literacy rate (iii) literacy rate by Zila (iv) gross enrolment rate for primary level (v) net enrolment (vi) drop-out rate (vii) ratio of teacher by sex (viii) gross enrolment rate for secondary level (ix) ratio of girls to boys (x) performance of girls students (xi) number of students, teachers and so on. Information on different types of institutions, teachers and students by sex are also provided in this chapter. 8.01 Literacy Rate of Population 7 years and over Data exhibit in table 8.01 give apparent idea about literacy rate of population 7 years and over by sex and residence for the period 1961-2011. It is evident from the table that the literacy rate of women at national level had significantly increased over time starting from 10.7% in 1961 to 49.4% in 2011 indicating 38.7 percentage points increase while in the same period literacy rate of men showed 22.7 percentage points increase starting from 31.4% in 1961 to 54.1% in 2011. Table 08.01: Literacy rate of population 7 years and over by sex and residence, 1961‐2011 (In percentage) Year 1961 1974 1981 1991 2011 National Women Men 10.7 16.4 17.5 25.5 49.4 31.4 36.6 33.8 38.9 54.1 Source: Population Census, BBS 8.02 Adult Literacy Rate (15 yrs and over) Adult literacy rate of population aged 15+ yrs is shown in table 8.02. At the national level, adult literacy rate of women was 18.0% in 1981 and increased to 49.2% in 2011, indicating 31.2 percentage points increase over time. It is also seen from the table that adult literacy rate of women in urban was 34.1 % in 1981 and increased to 65.2% in 2011. In rural area, adult literacy rate of women was 15.3% in 1981 and increased to 44.4% in 2011 showing 29.1 percentage points increase. For men, it was 35.4% in 1981, and 50.8% in 2011. There was significant difference of adult literacy rate by sex and by residence. Adult literacy rates of women at national level have increased by 31.2% during 1981 to 2011. In case of rural area it had increased by 29.1% and in case of urban area it had increased by 31.1%. 93 Table 08.02: Adult literacy rate of population aged 15+ by sex, 2081– 2011 (In percentage) Year 1981 1991 2001 2011 National Women Men 18.0 39.7 25.8 44.3 41.4 54.0 49.2 56.8 Rural Women 15.3 21.5 36.5 44.4 Urban Men 35.4 38.7 48.0 50.8 Women 34.1 44.0 57.4 65.2 Men 58.0 62.6 70.0 73.4 Source : Population census 1981-2011, BBS 8.03 Zila wise Literacy Rate of Population 7+ years Data on literacy rate of population 7 years and over by sex and zila are presented in table 8.03. It is observed that the lowest literacy rate of women was 13.46% in Bandarban zila in 1991, followed by Sherpur (14.09%) and Cox’s Bazar (14.90%). The highest literacy rate was found in Jhalakati (46.45%), followed by Dhaka (45.93%) and Pirojpur (44.27%). Among men the lowest rate was 24.63% in Sherpur followed by Jamalpur (26.64%) and Sunamgonj (27.55%). The highest rate for men was found in Dhaka (60.11%) followed by Jhalakati (55.87%) and Pirojpur zila (52.89%). In 2001 the highest rate among women was found 63.4% in Jhalakati Zila showing a rise of 16.9 percentage points over decade, followed by Pirojpur Zila having 63.0% with an increase of 18.7 percentage points, and Dhaka Zila (58.7%) with an increase of 12.8 percentage points. The lowest rate was 23.7% in Bandarban Zila with an increase of 10.28 percentage points and 28.6% was in Sherpur Zila with an increase of 14.5 percentage points over the decade. Table 08.03: Literacy rate of population (7 years and above) by zila and sex 1991‐2011 (In percentage) Zila Bangladesh Barguna Barisal Bhola Jhalakati Patukhali Pirojpur Bandarban Brahmanbaria Chandpur Chittagong Comilla Cox’s Bazar Feni Khgrachari Lakshmipur Noakhali Rangamati Dhaka Faridpur Gazipur Gopalganj 1991 Women 25.45 35.05 37.91 19.00 46.45 30.05 44.27 13.46 20.32 32.99 34.99 26.03 14.90 33.15 16.86 29.74 31.48 24.68 45.93 20.75 29.35 31.64 2001 Men 38.90 45.15 47.89 28.58 55.87 42.65 52.89 32.19 32.66 42.72 50.28 40.20 28.16 48.21 34.64 38.79 42.95 45.82 60.11 34.61 43.16 44.73 Women 41.83 52.8 54.9 34.1 63.4 47.7 63.0 23.7 36.7 48.7 50.8 42.6 26.0 51.2 32.7 41.7 49.9 34.2 58.7 37.0 51.9 47.4 94 Men 50.3 57.7 59.0 39.5 67.4 55.5 65.6 38.2 42.3 51.9 59.8 49.4 34.0 57.5 49.9 44.2 53.5 51.5 69.6 44.6 60.5 55.2 2011 Women Men 49.4 54.1 56.1 59.2 60.6 61.9 42.9 43.6 65.8 67.6 52.0 56.2 64.7 65.0 30.9 40.3 44.9 45.7 57.3 56.1 56.7 61.1 52.6 54.1 38.2 40.3 58.3 61.1 40.1 51.9 49.8 48.9 51.2 51.4 42.3 56.4 66.9 73.6 47.7 50.3 58.9 66.0 56.0 60.3 Zila 1991 Women Jamalpur 16.00 Kishoregonj 17.84 Madaripur 24.89 Manikganj 20.07 Munshiganj 31.14 Mymensingh 19.95 Narayangonj 32.24 Narsingdi 23.66 Netrokona 20.44 Rajbari 19.68 Shaiatpur 18.45 Sherpur 14.09 Tangail 22.42 Bagerhat 38.86 Chuadanga 19.56 Jessore 25.07 Jhenaidah 18.90 Khulna 34.56 Kushtia 20.28 Magura 20.86 Meherpur 18.62 Narail 28.93 Satkhira 21.00 Bogra 21.00 Dinajpur 21.27 Gaibandha 16.93 Joypurhat 22.19 Kurigram 14.70 Lalmonirhat 15.69 Naogaon 20.44 Natore 20.55 Nawabganj 19.10 Nilphamari 16.98 Pabna 21.46 Panchagarh 20.79 Rajshahi 23.16 Rangpur 19.40 Sirajganj 20.17 Thakurgaon 17.16 Hobigonj 18.54 Maulvi Bazar 24.56 Sunamgonj 16.73 Sylhet 27.49 Source: population census, BBS 2001 Men 26.64 28.46 39.96 33.68 40.25 30.70 46.23 35.03 31.22 32.70 30.31 24.63 36.13 49.54 30.51 41.02 32.34 52.16 30.85 35.23 27.36 42.23 39.73 35.40 37.78 31.63 37.47 29.86 31.40 35.93 32.99 28.45 33.16 31.79 39.83 37.64 33.52 33.41 36.80 30.41 36.83 27.55 39.87 Women 28.0 35.1 37.3 36.0 49.1 36.3 46.9 39.5 31.9 35.7 35.8 28.6 35.9 56.5 38.1 46.1 40.3 51.8 37.2 40.1 35.6 44.7 38.9 37.5 40.0 30.5 44.0 27.6 36.3 39.1 37.4 34.4 32.6 39.5 37.3 42.5 37.1 35.4 34.8 33.62 38.5 30.5 41.6 95 Men 35.5 41.4 46.9 46.0 54.1 41.9 55.9 46.1 37.9 43.7 42.2 35.0 44.9 60.8 43.5 56.2 48.8 63.3 43.4 49.2 39.9 52.4 51.8 48.0 51.0 40.9 55.0 39.4 48.2 49.4 45.5 37.4 44.7 45.2 50.1 52.3 46.5 45.5 48.4 41.76 45.6 38.1 49.4 2011 Women Men 35.9 41.1 40.3 41.5 45.9 50.1 46.0 52.6 55.7 56.4 42.2 44.9 54.6 59.5 48.7 50.6 38.0 40.9 50.6 54.0 46.6 48.0 35.7 40.2 43.8 50.0 58.0 60.0 44.9 46.9 53.7 59.4 46.3 50.5 55.9 60.3 44.8 47.9 48.5 52.9 45.7 46.9 59.3 63.3 48.2 56.1 45.9 52.9 49.1 55.7 39.5 46.3 53.5 61.4 38.8 46.5 42.9 49.3 45.2 51.3 47.3 51.9 44.3 41.6 41.1 47.6 45.6 47.8 48.3 55.2 50.1 55.8 45.9 51.2 39.0 45.1 44.4 53.0 38.9 42.2 49.5 52.7 33.1 36.9 48.9 53.5 For men, the highest rate was found in Dhaka Zila (69.6%) with the increase of 9.5 percentage points over the decade followed by Jhalakati (67.4%) and Pirojpur Zila (65.6%). The lowest rate possessed by Cox’s Bazar (34.0%) followed by Jamalpur Zila (35.5%) with the increase of 8.9 percentage points over the decade. In 2011, the highest literacy rate of women was observed for Dhaka (66.6%) followed by Jhalakati (65.8%) and Barisal zila (60.6%). The lowest literacy rate for women was found in Bandarban (30.9%), proceeded by Sunamganj (33.1%) and Sherpur (35.7%) 8.04 Gross Enrolment Rate (GER) for Primary School Gross enrolment rate at primary level for the period 2002-2010 is shown in table 8.04. As per the definition of GER, students aged beyond the range reading in primary school were counted. It is evident from the table that gross enrolment rate for girls at national level was 104.5% in 2002, 100.2% in 2010; while for boys it was 106.8% and 102.4% respectively. In rural area the rate was almost similar as at national level but in urban area it was slightly low for both boys and girls. It is also noticed from the table that the rate for them at all levels had been declining slowly. Table 08.04: Gross enrolment rate for primary school by sex and residence, 2002‐2010 Year 2002 2004 2006 2008 2010 National Girls 104.5 102.3 98.6 97.9 100.2 Rural Girls 105.3 103.1 98.8 97.9 101.1 Boys 106.8 104.8 101.0 102.6 102.4 Boys 107.7 106.2 101.6 100.8 102.2 Urban Girls 100.6 98.7 97.7 103.7 101.3 Boys 102.1 99.3 99.1 106.4 102.6 Source: SVRS, 2010, BBS 8.05 Net Enrolment Rate for Primary School The NER for both girls and boys at all levels is contained in the table 8.05. In 2002 for the girls it was 86.4%, 85.6% and 85.4% respectively at national, rural and urban levels, while for the boys it was 84.6%, 83.7% and 85.6% respectively. The NER for them at all levels varied around the range 80-87% over the period. Table 08.05: Net enrolment rate for primary school by sex and residence , 2002‐2010 National Year 2002 2004 2006 2008 2010 Girls 86.4 86.4 85.6 81.3 87.8 Rural Boys 84.6 85.1 84.4 80.3 85.6 Girls 85.6 86.1 85.2 80.3 87.8 Source: SVRS, 2010, BBS 96 Urban Boys 83.7 84.7 83.8 79.0 85.2 Girls 85.4 88.6 87.1 83.3 87.9 Boys 85.6 86.1 86.6 82.9 85.9 8.06 Drop‐out Rate for Primary School It is observed from the following table that the drop-out rate for girls in the rural area was 32.4% in 2002 and declined to 12.2% in 2010. For boys it was 37.4% in 2002 declined to 14.8% in 2010. In urban area the rate for girls was in 33.4 % in 2002 declined to 12.1% in 2010, for boys it was 37.9% in 2002 declined to 14.1 in 2010 respectively. Table 08.06.1: Dropout rate for primary school cycle by sex and residence 2002‐2010 (In percentage) Year 2002 2004 2006 2008 2010 Both 35.2 32.3 25.9 21.1 13.3 National Girls 32.7 30.5 24.0 19.4 12.2 Boys 37.6 34.0 27.7 22.7 14.4 Rural Girls 32.4 31.0 24.8 18.9 12.2 Both 35.0 33.0 26.9 20.8 13.4 Boys 37.4 34.8 28.9 22.6 14.8 Both 35.7 28.6 22.1 21.8 13.2 Urban Girls 33.4 27.6 21.0 20.4 12.1 Boys 37.9 29.6 23.2 23.0 14.1 Source: SVRS, 2010,BBS Table 08.06.2: Gross and net enrolment rate by sex in secondary school, 2010 Sl. No. 1. 2. 3. 4. Indicators Gross enrolment rate (%) Net enrolment rate (%) a) Secondary age population (11-15 years) b) All Enrolment of (VI-X) c) Enrolment of (VI-X) of age 11-15 years Both 57.00 39.51 16845552 7465774 6655564 Girls 63.22 44.02 80501 3979676 3543850 Boys 51.19 35.38 8795408 34861 3111714 Source: BANBEIS-2010 Table 08.06.3: Secondary cycle completion rate, dropout rate and coefficient of efficiency by sex in secondary school, 2010 Sl. No. 1. 2. 3. 4. Indicators Completion rate Dropout rate Survival rate Coefficient of efficiency Both 42.85 57.15 63.02 50.10 Girls 46.17 53.83 67.64 51.30 Boys 39.47 60.53 58.26 48.80 Source: BANBEIS-2010 Table 08.06.4: Gross and net enrolment rate in college (11 and 12 class) , 2010 Type of college Both 6968320 Secondary age population (16-17 years) Enrolment of all ages (XI-XII) Enrolment (16-17 years age) Gross enrolment rate (%) Net enrolment rate (%) Source: BANBEIS-2010 97 Number of college Girls 3304464 Boys 3663856 1381005 666774 714231 949288 19.82 459951 20.18 489337 19.49 13.62 13.92 13.36 Table 08.06.5: Dropout and completion rate in college (XI‐XII) Year Class 1999 2000 2001 2002 2003 2004 2005 2009 XI-XII XI-XII XI-XII XI-XII XI-XII XI-XII XI-XII XI-XII Dropout rate (%) Total Female 39.8 39.2 41.2 40.6 42.7 41.5 45.8 44.6 46.7 45.1 44.0 43.6 42.9 41.5 24.4 23.9 Completion rate (%) Total Female 60.2 60.8 58.8 59.4 57.3 58.5 54.2 55.4 53.3 54.9 56.0 56.4 57.1 58.5 75.6 76.1 Source: BANBEIS-2010 Table 08.06.6: Number of college, teacher and enrolment by type, 2010 Type of college No. of college School & college (college section) Higher secondary college Degree (pass) college Degree (honors) college Masters college Total (college education) Source: BANBEIS-2010 655 1179 1270 126 94 3324 Number of college Female % Female 11511 3052 26.51 Total 21206 42551 5035 6917 87220 4311 7893 1311 2008 18575 20.33 18.55 26.04 29.03 21.30 Number of students Total Girls % Girls 180400 91640 50.80 288345 1003014 336703 585813 2394275 151156 480370 137937 213843 1074946 52.42 47.89 40.97 36.50 44.90 8.07 Ratio of Female and Male Teachers in Primary School It is evident from the following table 8.07 that the share of female teachers was 33.90% in 2000, which was increased to 49 percent in 2010. It is clear from the table that women were in greater number interested to become teacher as per the government polices giving facilities to women. Table 08.07: Number of teachers in primary schools by sex and percent of women, 2000‐2010 Year 2000 2001 2002 2003 2004 2005 Women 53628 61008 58997 61995 66725 71740 Men 104588 101082 98239 100119 95495 90344 % of women 33.90 37.64 37.52 38.24 41.13 44.26 2009 Public Private Total 99615 57456 157071 83188 121191 204379 45.49 32.16 43.46 2010 Public Private Total 124150 70388 194528 88503 112240 194538 58.38 38.54 49.22 Source: BANBEIS-2010 98 8.08 Gross Enrolment Rate, Completion Rate and Dropout Rate at the Secondary Level Gross enrolment rate, completion rate and dropout rate at the secondary level for the period 2002-2010 are presented in table 8.08. The table shows that the gross enrolment rate for girls was 48.16% in 2002 and 49.44% in 2010, for boys it was 41.28% and 39.64% respectively. At the 2002 and 2005 years, the completion rate for girls was 19.23% and 16.71% respectively as against 30.87% and 23.46% for boys showing slow decline over time. Table 08.08: Gross enrolment rate, completion rate and dropout rate at secondary level,2002‐2010 Year 2002 2003 2004 2005 2010 Gross enrolment rate (%) Girls Boys 48.16 41.28 48.48 41.96 48.41 39.58 47.17 38.62 49.44 39.64 Completion rate (%) Girls Boys 19.23 30.87 13.74 19.53 13.79 20.12 16.71 23.46 46.17 39.47 Dropout rate (%) Girls Boys 80.77 69.13 86.26 80.47 86.21 79.88 83.29 76.54 53.83 60.53 Source: BANBEIS-2010 8.09 Education Gender Parity Ratio of girls to boys attending primary school and secondary school by districts, in Bangladesh-2009 is shown in table 8.09. Data presented in the table are also on (i) primary school net attendance ratio (NAR) for girls & boys by districts (ii) gender parity index (GPI) NAR for primary school (iii) secondary school net attendance ratio for girls and boys (iv) gender parity index for secondary school NAR. The data for primary and secondary level for districts can be seen for comparison in table 8.09. Table 08.09: Ratio of girls to boys attending primary and secondary education by district, 2009 District Primary school net attendance ratio of girls Primary School net attendance ratio of boys Gender parity index for primary school NAR* Secondary school net attendance ratio of girls Secondary school net attendance ratio of boys Gender parity index for primary school NAR* Bangladesh Barguna Barisal Bhola Jhalakati Patuakhali Pirojpur 82.5 91.0 88.8 78.1 89.4 88.4 87.9 80.2 89.7 84.9 75.2 87.5 87.5 84.1 1.03 1.01 1.05 1.04 1.02 1.01 1.05 53.0 62.4 58.6 40.6 69.6 61.3 63.4 45.5 57.4 49.3 31.7 59.6 54.3 50.5 1.16 1.09 1.19 1.28 1.17 1.13 1.26 Bandarban Brahmanbaria Chandpur Chittagong Comilla Cox,s Bazar Feni Khagrachhari Lakshmipur Noakhali Rangamati 61.8 67.9 82.6 84.6 83.7 70.6 84.0 79.9 77.2 77.1 75.7 59.5 66.0 76.4 83.3 81.1 69.4 83.1 78.9 79.5 76.5 74.3 1.04 1.03 1.08 1.02 1.03 1.02 1.01 1.01 0.97 1.01 1.02 28.4 43.3 56.5 50.4 53.5 36.4 55.8 42.9 48.0 52.5 41.2 27.8 33.2 41.2 47.4 42.6 26.4 50.4 40.5 37.6 45.3 42.0 1.02 1.30 1.37 1.06 1.26 1.38 1.11 1.06 1.28 1.16 0.98 99 District Primary school net attendance ratio of girls Primary School net attendance ratio of boys Gender parity index for primary school NAR* Secondary school net attendance ratio of girls Secondary school net attendance ratio of boys Gender parity index for primary school NAR* 83.2 86.0 90.7 85.3 84.5 80.4 82.3 83.1 90.0 83.0 83.9 79.1 78.0 84.1 85.0 80.5 86.6 85.0 81.3 90.9 85.4 81.3 77.7 81.2 81.8 87.4 79.8 79.6 75.0 76.4 81.0 82.2 74.8 84.1 0.98 1.06 1.00 1.00 1.04 1.03 1.01 1.02 1.03 1.04 1.05 1.05 1.02 1.04 1.03 1.08 1.03 48.6 55.4 61.3 54.6 50.6 46.8 48.2 55.8 58.7 50.3 49.9 55.3 44.5 60.8 45.5 46.3 57.3 49.1 42.2 59.5 49.6 49.8 35.6 37.2 52.9 46.2 43.5 40.1 39.6 35.5 49.8 33.9 37.3 54.4 0.99 1.31 1.03 1.10 1.02 1.31 1.30 1.05 1.27 1.16 1.24 1.40 1.25 1.22 1.34 1.24 1.05 Bagerhat 90.1 88.8 1.01 63.1 Chuadanga 81.3 80.6 1.01 55.9 Jessore 91.2 90.0 1.01 67.6 Jhenaidah 90.4 86.3 1.05 65.4 Khulna 89.3 85.8 1.04 64.2 Kushtia 84.0 80.3 1.05 60.3 Magura 90.2 87.5 1.03 65.1 Meherpur 93.5 88.7 1.05 57.7 Narail 89.6 89.2 1.00 66.6 Satkhira 84.5 83.0 1.02 62.6 Bogra 82.4 79.2 1.04 57.3 Dinajpur 90.1 86.7 1.04 65.2 Gaibandha 81.3 77.9 1.04 51.7 Joypurhat 91.6 87.0 1.05 65.2 Kurigram 79.2 76.7 1.03 51.4 Lalmonirhat 83.8 81.2 1.03 60.4 Naogaon 90.3 86.4 1.05 63.5 Natore 71.8 70.8 1.01 54.4 Nawabgonj 78.7 74.1 1.06 47.2 Nilphamari 89.3 83.4 1.07 53.8 Pabna 85.2 81.8 1.04 57.4 Panchagarh 85.9 78.2 1.10 61.1 Rajshahi 86.5 83.0 1.04 65.9 Rangpur 83.4 79.4 1.05 59.4 Sirajgonj 71.6 71.9 1.00 48.7 Thakurgaon 86.6 83.7 1.03 55.9 Habiganj 69.5 68.4 1.02 38.4 Maulvibazar 83.1 79.5 1.05 44.6 Sunamganj 67.8 65.3 1.04 31.3 Sylhet 81.3 79.3 1.03 44.0 1.05 National 82.5 80.2 53.0 Source: Multiple Indicator Cluster Survey 2009 Volume-I: Technical Report 54.2 47.4 56.1 55.6 57.2 47.2 57.0 46.4 53.1 50.0 51.1 51.3 47.1 61.0 42.2 47.9 53.8 47.3 38.4 40.4 49.1 52.0 57.0 48.7 41.1 50.8 29.1 38.2 27.1 29.6 45.5 1.16 1.18 1.20 1.18 1.12 1.28 1.14 1.24 1.25 1.25 1.12 1.27 1.10 1.07 1.22 1.26 1.18 1.15 1.23 1.33 1.17 1.18 1.16 1.22 1.18 1.10 1.32 1.17 1.15 1.49 1.16 Dhaka Faridpur Gazipur Gopalgonj Jamalpur Kisroregonj Madaripur Manikgonj Munshigonj Mymensingh Narayangonj Narsindgdi Netrokona Rajbari Shariatpur Sherpur Tangail 100 8.10 Ratio of Women and Men Teachers and Students in Secondary School The table 8.10 gives an apparent picture of teachers and students in secondary schools by sex and women–men ratio over the period 2002-2010. It is evident from the table that women-men ratio of secondary school teachers was 23.7% in 2002 and increased to 30.0% in 2010 showing on increase by 6.3 percentage points. Table 08.10: Number of teachers and students by sex in secondary school and their ratio, 2001‐2010 Year 2002 2004 2006 2008 2010 Women Teacher Men 38902 47255 48615 46788 50334 164189 167418 167677 162708 167677 Ratio of women to men 23.7 28.2 30.0 34.8 30.0 Girls Student (in 000) Boys Ratio of girls to boys 3659 3925 3980 3661 3980 3661 3578 3486 3159 3486 99.9 109.7 114.1 115.9 114.1 Source: Statistical Yearbook of Bangladesh-2010 BANBEIS-2010, BBS 8.11 Performance of Girls Student in the Secondary Level Data on performance of girls student in the Secondary School Certificate (SSC) examination by sex for the period 2004-2010 can be seen in table 8.11.1 It is clear from the table the passing rate at secondary level for girls was 45.98% in 2004 against total students 48.03%. These rates rose to 76.36% and 78.19% respectively in 2010. Table 08.11.1: Performance of girls student in the SSC examination, 2004‐2010 Year 2004 2006 2008 2010 No. of appeared Total Girls 756387 341594 784815 367970 743609 361545 912577 453779 No. of passed Total Girls 363270 157058 466732 210909 526576 249104 713560 346994 % of pass Total Girls 48.03 45.98 59.47 57.32 70.81 68.90 78.19 76.36 Source: BANBEIS-2010 Table 08.11.2: Performance of girls student in SSC (vocational) examination, 2004‐2010 Year 2004 2006 2008 2010 No. of appeared Total Girls 31452 9778 48309 367970 82375 361545 625577 453779 No. of passed Total Girls 16090 4745 466732 210909 526576 249104 713560 346994 Source: BANBEIS-2010 101 % of pass Total Girls 51.16 48.53 59.47 57.32 70.81 68.90 78.19 76.36 8.12 Number of Teachers and Students of Colleges Number of teachers and students in govt. and non govt. colleges by sex for the period 2005-2010 are shown in table 8.12. In 2005, the total number of teachers in govt. colleges were 10,962 of them 22.54% were women. The number of students was 5,09,137, among them 39.539% were girls. On the other hand, in private colleges, teachers were 79,439 of them 18.79% were women. The students were 8,58,109 of them 42.89% were girls. It is clear from the table that teachers in govt. colleges were higher than those in private colleges. On the other hand, the number of students was higher in private colleges than those in govt. colleges. In 2010, the female teachers in public colleges were 23 percent and female students 40 percent. It can also be seen from the table that percentage of women teachers and students both in govt. colleges and private colleges had increased over time. Table 08.12: Number of teachers and students of college by type & sex, 2005,2009 and 2010. Year Type of college Total Teachers Women Men % of women Public 10962 2471 8491 22.54 2005 Private 79439 14929 64510 18.79 Public 10246 2341 7905 22.85 2009 Private 76045 14844 61201 19.52 Total 86291 17185 69106 19.92 Public 9900 2310 7590 23.33 2010 Private 77320 16265 61055 21.04 Total 87220 18575 68645 21.30 Source: Bangladesh Educational Statistics-2010, BANBEIS Total 509137 858109 849165 1296715 2145880 889109 1505166 2394275 Students Girls Boys 201286 368051 263290 592760 956050 358523 716423 1074946 307851 490058 485875 703955 1189830 530586 788743 1319329 % of girls 39.53 42.89 42.78 45.71 44.55 40.32 47.60 44.90 8.13 Performance of Girls Student in the HSC Examination Number and percentage of girls in this Higher Secondary School Certificate (HSC) examination is shown in table 8.13. It is observed that 2,77,946 girls out of total 5,80,623 students appeared in the examination. The passing rate of girls was 71.88% and in the total students 71.82% in 2010. Table 08.13: Performance of girls student in the HSC examination, 2004‐2010 Year 2004 2006 2008 2010 Source: BANBEIS-2010 No. of appeared Total Girls 483481 204050 412024 180969 496139 231387 580623 277946 No. of passed Total Girls 230787 95455 263358 114949 371381 172389 416987 199797 % of pass Total Girls 47.73 46.78 63.92 63.52 74.85 74.50 71.82 71.88 It is also evident from the table that the number of girls out of total students had decreased to 180969 in 2006. Trend of passing rates both for total and girls had been increasing over time. 8.14 Primary Training Institute (PTI), Teachers and Trainees Number of Primary Training Institute (PTI), teachers and trainees 2004-2010 can be seen in table 8.14. Total number of primary training institute in public sector was 54 with total number of teachers and trainees were 538 and 11,495 respectively in 2004. In 2005, the number of teachers were decreased to 102 517 and number of trainees increased to 13,025. The ratio of women teachers was 33.45% and 24.72% respectively in 2004 and 2010 and the corresponding rates of girls’ trainees were 41.30 percent and 64.64 percent respectively. Table 08.14: Number of PTI, teachers, and trainees by sex, 2004‐2010 Year No of institute Teachers Total Women Trainees Men % of women Total Girls Boys % of girls 2004 2005 54 54 538 517 180 179 358 338 33.45 35.30 11495 13025 4748 5176 6747 7849 41.30 39.74 2010 54 538 133 405 24.72 11344 7333 4011 64.64 Source: BANBES- 2006, 2010 8.15 Teachers Training College (TTC), Teachers and Students Number of Teachers Training College (TTC) by type, teachers and students by sex and type of training college are exhibited in table 8.15. Among 903 teachers, 30.12% were women teacher and among 2,841 students, 41.98% were girls in 2004. Out of 1,235 teachers 23.81 percent were women, which shows a significant decrease of 6.31 percentage points where girl students also decreased by 2.12 percentage points. In 2005, the percentage of female teachers was 23.81 percent, which increased to 27.77 % in 2010. Table 08.15: Number of TTC, teachers and students by sex, 2004‐2010 No. of Type of colleg training e colleges 2004 Public 11 Private 54 Total 65 2005 Public 14 Private 85 Total 99 2010 Public 36 Private 92 Total 128 Source: BANBES , 2010 Year Total 201 702 903 247 988 1235 1990 830 2820 Teachers Women Men 60 212 272 74 220 294 528 255 783 141 490 631 173 768 941 1462 768 783 % of women 29.85 30.20 30.12 29.96 22.27 23.81 26.53 30.72 27.77 Total 5506 7335 2841 6518 11638 18156 34098 9551 43649 Students Girls Boys 2854 2537 5391 2885 4352 7237 19380 3025 22405 2652 4798 7450 3633 7286 10919 14718 6526 21244 % of Girls 51.83 34.59 41.98 44.26 37.39 39.86 56.84 31.67 51.33 8.16 Physical Education College, Teachers and Students Number of Physical Education College, teachers and students by sex 2004-2005 and 2010 are shown in table 8.16. Women teachers were 11.79% in 2010. Number of teachers increased to 276 but the percentage share of women decreased to 10.51% in 2005. Number of students was 3,402 with 30.69% girls in 2005. 103 Table 08.16: Number of Physical Education College, teachers and students by sex, 2004‐2010 Year Type of college No. of college Total 2004 Public 4 Private 12 Total 16 2005 Public 4 Private 23 Total 27 2010 Public 4 Private 23 Total 27 Source: BANBEIS-2006 and 2010 46 164 210 49 227 276 46 217 263 Teachers Wome Men n 7 39 20 144 27 183 7 42 22 205 29 247 8 38 23 194 31 232 % of women 15.22 12.20 12.86 14.29 09.69 10.51 17.39 10.60 11.79 Total 668 2734 3402 668 2734 3402 684 3520 4204 Students Girls Boys 142 902 1044 142 902 1044 149 396 545 526 1832 2358 526 1832 2358 535 3124 3659 % of girls 21.26 32.99 30.69 21.26 32.99 30.69 21.78 11.25 12.96 8.17 Teachers and Students of Universities It is seen from the table 8.17 that in Govt. University there were 6,462 teachers with 15.08% female teachers in 2004. Among the students, about 25 percent were girls in the same year. In private University, there were 4,815 teachers with 16.57% female teachers and among the students, 22.80 percent were girls in 2004. But in 2005 slight change is observed in number and percentage share of females in both teachers and students. In Govt. University, teachers were 6,921 with 15.67% women. Similarly, in private University there were a total of 5,638 teachers with 14.15% women and 88,669 students with 23.2% girls. In 2009, the numbers of teachers in govt. universities were 9163 and that of private were 5710. The percentage of women teacher was 18.07% in govt. universities and 29.79% in private universities. The numbers of boys students were 180953 and 151814 respectively in govt. and private universities in 2009 and the ratio of girl students was 31.18% and 24.45 % respectively. Table 08.17: Number of teachers and students by type of universities and sex, 2004‐2009 Year Type of universities Teachers Total Women Students Men % of women Total Girls Boys % of girls Govt. 6462 975 5487 15.08 112327 27953 84374 24.8 2004 Private 4815 798 4017 16.57 62856 14329 48527 22.8 Govt. 6921 1085 5836 15.67 116397 29475 86922 25.3 2005 Private 5638 798 4840 14.15 88669 20621 68048 23.2 Govt. 7905 1435 6470 18.15 124129 45408 78721 36.6 124237 30280 93957 2.4 139983 52917 87066 37.8 17040 40067 23026 23.5 81988 180953 31.18 2006 Private NA NA NA 2007 Govt. 8068 1455 6613 Private NA NA NA Govt. 9163 1656 6507 2009 18.03 18.07 262941 Private 5710 1701 4009 29.79 200939 49125 151814 24.45 Source: Bangladesh Educational statistics-2006, Annual Report-2009, University Grants Commission (U.G.C.) 104 8.18 Teachers and Students of Bangladesh University of Engineering & Technology (BUET) Number of teachers and students in the Bangladesh University of Engineering & Technology by sex for 2000-2010 can be seen in table 8.18. Table shows that in 2000, there were 57 women teachers and 443 men teachers that are 129 women teachers per 1000 men teachers. Among students girls were respectively 945 and 6270 with women ratio 15.1% ie. 151 female students per 1000 male students. In 2002, number of both women and men teachers decreased but the number of students increased to 1137 for girls and 6456 boys it showing girls-boys ratio 17.6 i.e 176 girls students per 1000 boys students. In 2010 number of both women and men teachers increased to 128 and 521 respectively with the ratio of 24.6% . Number of students both girls and boys increased to 1468 and 6199 respectively showing a ratio of 23.7 i.e. 237 girls students per 1000 boys. There was a significant increase of female teachers and students from 2000 to 2010. The share of female teachers was about a quarter to the total in 2010 and same trend found in case of female students. Table 08.18: Number of teacher and students in the Bangladesh University of Engineering & Technology by sex, 2000‐2010 Year Teachers Men Students Ratio of women Girls Boys Ratio of girls to to men boys 2000 57 443 12.9 945 6270 15.1 2002 65 414 15.7 1137 6456 17.6 2004 67 440 15.2 1222 6669 18.3 2006 77 442 17.4 1382 6665 20.7 2009 100 478 20.9 1455 6088 23.9 2010 128 521 24.6 1468 6199 23.7 Source: Statistical year book of Bangladesh-2010 BBS and Annual Report 2010, UGC Women 8.19 Teachers and Students in the Medical College Table 8.19 shows the number of teacher and students in the medical college by sex and by type of medical college for 2004 to 2010. It is apparent from the table that there were 1215 teachers with 19.75% women in public medical colleges in 2004. In 2010, the number of teachers in public and private medical college was 1312 and 1202 respectively and the ratio of women was 18.60% and 10.23% respectively. The number of student in public medical colleges was 11736 whereas, for private medical college was 7660. The ratio of girls was 40.08% and 34.24% respectively in public and private medical college. Table 08.19: Number of teachers and students in the medical college by sex, 2004‐2009 Type of medical college Public 2004 Private Public 2005 Private Public 2010 Private Source: BANBES-2010 Year Total 1215 740 1218 1037 1312 1202 Teacher Women Men 240 123 240 123 244 123 975 617 970 914 968 1079 105 % of women 19.75 16.62 19.70 11.86 18.60 10.23 Total 11602 4992 11731 6954 11736 7660 Students Girls Boys 4675 2195 4692 2384 4704 2623 6927 2797 7039 4570 7032 5037 % of girls 40.29 43.97 40.00 34.28 40.08 34.24 8.20 Teachers and Students in the Bangabandhu Sheikh Mujib Medical University Number of teachers and students in the Bangabandhu Sheikh Mujib Medical University (BSMMU) by sex for 2006-2010 can be seen in table 8.20. Table shows that in 2006 there were 99 women teachers and 328 men teachers. Among teachers, women-men ratio was 30.2%. Among students, girls and boys were respectively 320 and 705 with their ratio 45.4%. In 2007, there were 82 women teachers and 291 men teachers. In 2010 number of teachers, both women and men increased and they were 99 and 322 respectively. The ratio of women to men was 28.2%. Among students, girls and boys were 750 and 956 respectively showing ratio 55.0%, which was same as the ratio of 2007. Table 08.20: Number of teachers and students in the BSMMU by sex, 2006‐2010 Year Teachers Men Ratio of women to men 2006 99 328 30.2 2007 82 291 28.2 2009 77 273 30.2 2010 99 322 28.2 Source: Annual Report 2006, 2007 and 2010, UGC Women Girls 320 338 289 750 Students Boys 705 614 466 956 Ratio of girls to boys 45.4 55.0 45.4 55.0 8.21 Teachers and Students in the Agricultural University In 2002, the number of women teachers was 30, whereas number of men teachers was 438 showing 6.8% women to men ratio ie 68 women teachers per 1000 men teachers. At the same time girls’ students in organized to 1143 with 25.7 girls to boys ratio ie 257 girls students per 1000 boys students. Table 08.21: Number of teachers and students in the Agricultural University by sex, 2001‐2010 Year Women 2002 2004 2006 2009 2010 30 44 52 57 59 Teachers Men 438 474 493 471 464 Ratio of women to men 6.8 9.2 8.8 12.1 12.7 Girls Students Boys 1143 847 1097 1559 1741 4453 3120 3430 3208 3147 Ratio of girls to boys 25.7 27.1 31.1 48.6 59.3 Source: Statistical Yearbook, 2010, BBS and Annual Report 2004-09, UGC In 2010 the number of women teachers was 59 where the number of men teachers was 464 showing 12.7% women to men ratio i.e. 127 women teachers per 1000 men teachers. In case of students, number of girls increased to 1741 and boys decreased to 3147 showing 59.3 ratio of girls to boys i.e. 593 girls students per 1000 boys. Enrolment of girls’ students in the agricultural universities is being increased over the period. 106 CHAPTER 9 Income, Expenditure and Poverty This chapter deals with income, expenditure and poverty of the household disaggregated by sex. The indicators that have been included are poverty incidence by sex, poverty incidence of women headed household by main source of income, poverty incidence of women headed household by level of education, average number of earners per household by sex, income and expenditure of women headed household, access to credit by women, monthly expenditure on education for men and women in the household etc. Unless women’s economic empowerment is strengthened we will not be able to eliminate poverty. In the 21st century, women enjoy more freedom and power than over before. However, they are still in far behind the men in some aspects of life. 9.01 Poverty Incidence of Women Headed Household It may be mentioned that women headed household is defined by the households where the household head is a woman. A woman may be head of a household if the husband works outside the house or she may be head of the household if she is a widowed/divorced or separated and she is responsible for managing a family. The incidence of poverty by sex of head of household has been presented in table 9.01. It is revealed from the table that the poverty by head count ratio of women headed household were lower than men headed household. It may happened due to their husband working in abroad. However, in 2010, the poverty incidence of women headed household is much lower than the men headed household. The difference was 5.5 percentage points in 2010 compared to 1.8 percentage point in 2000. Table 9.01: Incidence of poverty by sex of head of household, 2000, 2005 and 2010 Residence National Rural Urban 2010 Women Men headed headed 26.6 32.1 29.3 35.9 17.5 21.7 2005 Women headed 29.5 31.0 24.4 2000 Men headed 40.8 44.9 28.7 Women headed 47.2 50.6 37.1 Men headed 49.0 52.5 35.1 Source: Household Income and Expenditure Survey -2005 and 2010, BBS 9.02 Poverty Incidence of Women Headed Household by Main Source of Income The poverty incidence of women headed household by main source of household income obtained from HIES-2010 has been presented in table 9.02. It is observed from the table that, in the aggregate level, the poverty incidence was the highest (44.2%) for households whose household income was mainly from service working followed by those households with main income source being transport labouring (41.0%) and then who are employed in agriculture (37.0%). 107 Table 09.02: Incidence of poverty by occupation of head of households, 2010 Occupation Professional Administrative and management workers Clerical related works Sales workers Service workers Agriculture, Forestry and Fisheries Production and Transport labourers Head not working Total Women headed 22.9 0.0 11.5 35.1 56.1 35.8 33.1 23.2 26.7 Poverty incidence Men headed 19.4 0.8 17.8 22.2 42.6 37.0 41.2 25.3 32.1 Total 19.5 0.8 17.7 22.3 44.2 37.0 41.0 24.2 31.5 Source: HIES 2010, BBS 9.03 Poverty Incidence of Women Headed Household by Level of Education Poverty incidence of women headed household by level of education obtained from HIES-2010 has been presented in table 9.03. It is seen from the table that the poverty incidence is negatively correlated with education. The poverty incidence decreased with the increase of education level. The poverty incidence of women headed household with never read category was as high as 35.2% compared to only 1.9% for those households with education level SSC+. Poverty incidence of rural and urban households also follows the same pattern that the incidence decreases with increase of education level. Table 09.03: Incidence of poverty by level of education of head of households, 2010 Level of education Never read Class I-V Class VI-IX SSC /HSC or equivalent Total Women headed 35.2 18.4 13.8 1.9 26.7 Poverty incidence Men headed 43.9 37.2 23.6 7.8 32.1 Total 42.8 35.7 22.6 7.5 31.5 Source: HIES, 2010, BBS 9.04 Household Income by Number of Members and Earners Household Income by number of members and number of earners by sex has been presented in table 9.04.1 It is observed from the table that the number of women earners is comparatively high in lower income and higher income groups. In 2005 the average number of women earners was 0.26, 0.21 and 0.25 in the 1st three-income level households with the average lower income. The income of these three households was Tk. 480.45, Tk. 880.19 and Tk. 1124.48 respectively and in 2010 the average number of women earners was 0.24, 0.23 and 0.15 in the 1st three-income households with the average lower income. The income of these three categories households was Tk. 981.81, Tk. 1758.07 and Tk. 2252.71 respectively. 108 Table 09.04.1: Average number of members and earners and monthly income per household by sex, 2005 and 2010 Monthly income groups (in Tk.) Average no. of members Women Men Average no. of earners Women Men 2005 1.13 0.26 1.33 0.21 1.42 0.25 1.61 0.19 1.88 0.11 2.00 0.12 2.13 0.13 2.33 0.12 2.48 0.10 2.57 0.12 2.68 0.14 2.80 0.08 2.70 0.15 2.81 0.12 2.80 0.13 3.10 0.18 3.14 0.18 3.38 0.20 3.51 0.30 2.44 0.14 2010 <1500 1.48 0.84 0.24 1500-1999 1.76 1.32 0.23 2000-2499 1.91 1.68 0.15 2500-2999 1.92 1.84 0.16 3000-3999 2.01 1.93 0.12 4000-4999 2.15 2.00 0.13 5000-5999 2.13 2.11 0.14 6000-5999 2.20 2.22 0.13 7000-6999 2.27 2.21 0.16 8000-7999 2.36 2.38 0.16 9000-8999 2.36 2.51 0.15 10000-12499 2.38 2.39 0.15 12500-14999 2.41 2.50 0.13 15000-17499 2.45 2.50 0.15 17500-19999 2.53 2.65 0.15 20000-24999 2.60 2.70 0.16 25000-29999 2.77 2.80 0.16 30000-34999 2.73 2.70 0.12 35000+ 2.96 2.88 0.26 All groups 2.27 2.23 0.15 Source: Report of the Household Income & Expenditure Survey, 2010, BBS <750 750-999 1000-1249 1250-1499 1500-1999 2000-2499 2500-2999 3000-3999 4000-4999 5000-5999 6000-6999 7000-7999 8000-8999 9000-9999 10000-12499 12500-14999 15000-17499 17500-19999 20000+ All groups 1.52 1.59 1.73 1.91 1.99 2.14 2.25 2.23 2.37 2.44 2.55 2.61 2.54 2.75 2.74 3.02 2.96 2.99 3.37 2.41 109 Average monthly income per household (Tk) 0.51 0.61 0.69 0.81 0.96 1.04 1.08 1.19 1.30 1.35 1.46 1.49 1.47 1.51 1.40 1.59 1.70 1.63 1.77 1.26 480.45 880.19 1124.48 1375.82 1754.87 2237.00 2738.15 3463.65 4457.73 5438.93 6454.48 7465.17 8460.07 9443.81 11065.10 13535.38 16000.96 18624.03 41626.35 7203.17 0.30 0.61 0.81 0.87 0.95 1.01 1.09 1.18 1.19 1.20 1.28 1.28 1.36 1.36 1.46 1.44 1.46 1.40 1.44 1.15 981.81 1758.07 2252.71 2754.59 3490.23 4497.96 5459.85 6478.93 7472.24 8455.53 9489.98 11158.30 13630.33 16179.75 18627.74 22089.56 27275.93 32146.44 62799.55 11479.47 Table 09.04.2: Average number of members and earners per household, average monthly income per household by sex and residence, 2010 Residence Average no. of members per household Both Men Women Average no. of earners per household Both Men Women Total 4.50 2.23 2.27 1.31 1.15 0.16 Rural 4.53 2.24 2.29 1.27 1.15 0.12 Urban 4.41 2.20 2.20 1.40 1.17 0.23 Source: Report of the Household Income & Expenditure Survey, 2010, BBS Average monthly income per earner 8795 7592 11778 Average monthly expenditure earner 8540 7563 11103 In 2010, average the number of earners per household was found to be 1.31 at national level, 1.27 in rural and 1.40 in urban area. Average monthly income per earner was found to be Tk. 8,795 for the country as a whole. In rural area, this was Tk. 7,592 and in urban Tk. 11,778 in 2010. Table 09.04.3: Average monthly household income by head of household by sex, 2010 Residence Head of household Men Women Both 2005 National Rural Urban 6519 - 7281 - 7203 6095 10463 2010 National 9725 11763 Rural 8413 9864 Urban 14484 16726 Source: Report of the Household Income & Expenditure Survey, BBS 11479 9648 16474 Table.9.04.3: provides average monthly income per household. Average monthly income per household at current price was estimated at Tk. 11479 at the national level in 2010. This was Tk. 7203 in 2005.In 2010, the monthly household income increased by 59.36% compared with 2005 9.05 Intake of Food Average quantity (grams) per capita per day intake of food is presented in table 9.05. It is observed from the table that average intake was 947.8 in 2005 which is increased by 10 % to 1000.0 in 2010. Table 09.05: Average per capita per day food intake (grams), 2010 Residence Head of household Women 2010 National 1000.0 1000.5 Rural 1000.5 1001.9 Urban 985.5 995.7 2005 National 947.8 Rural 946.3 Urban 952.1 Source: Report of the Household Income & Expenditure Survey, 2010, BBS Both 110 Men 998.6 1004.8 981.8 - In 2010, average quantity of food items consumed was estimated at 1000.0 grams per capita per day at the national level. It was 1000.0, 1000.5 and 985.5 grams in national, rural and urban respectively. It appears that, per capita per day quantity food intake by rural women is less than men intake food, in urban it is opposite i.e. women intake food is more than men. 9.06 Income and Expenditure of Household Average monthly income and expenditure per household by income groups and by women and men headed household has been presented in table-9.06. It is observed from the table that average monthly household income of the men headed household was Tk.7281 in 2005 compared to Tk.6519 for the women headed household. The income of the men headed household was 11.7% higher than the women headed household. Similarly, the average monthly expenditure of the women headed household was Tk. 5262 as against Tk. 6233 for the men headed household. The expenditure of the men headed household was 18.5% higher than women headed household. The average household income of women headed household in 2010 was Tk. 9725 as against 11763 for the men headed household. The income of men headed household was 21.0% higher than women headed household. The expenditure of women headed household it was 8874 in 2010 compared to Tk.11346 for men headed household. The expenditure of men headed household was 27.8% higher than women headed household. It is noted that income and expenditure of the men headed household was higher than women headed household in all monthly income groups. Table 09.06: Average monthly income of women and men headed households by monthly per capita income groups, 2005 and 2010 Monthly income groups (in Tk.) <750 750-999 1000-1249 1250-1499 1500-1999 2000-2499 2500-2999 3000-3999 4000-4999 5000-5999 6000-6999 7000-7999 8000-8999 9000-9999 10000-12499 12500-14999 15000-17499 17500-19999 20000+ All groups Average monthly income per household (Tk.) Women headed Men headed 2005 499 675 708 1327 842 1620 1203 1724 1075 2019 1488 2289 1368 2515 1832 2831 2115 3222 2524 3777 2736 4201 2543 4784 3434 5423 5283 6840 6448 8438 8635 10775 10755 12987 11834 15637 29070 33463 6519 7281 111 Average monthly expenditure per household (Tk.) Women headed Men headed 0 1221 1020 1351 1411 1588 1605 2142 2339 2167 2970 3179 3833 4984 6209 8092 9766 9775 23464 5262 698 1484 1525 1771 2166 2323 2698 3009 3412 3897 4378 4784 5572 6873 8262 10766 12601 13953 24127 6233 Monthly income groups (in Tk.) <1500 1500-1999 2000-2499 2500-2999 3000-3999 4000-4999 5000-5999 6000-5999 7000-6999 8000-7999 9000-8999 10000-12499 12500-14999 15000-17499 17500-19999 20000-24999 25000-29999 30000-34999 35000+ All groups Average monthly income per household (Tk.) Women headed Men headed 2010 1145 2040 1449 2936 2012 3305 2771 3677 3145 4242 2932 4741 3884 5341 4483 6550 6084 7473 6112 8573 7953 10235 9362 12478 12386 14299 13113 16304 14586 18039 16014 21414 19046 24445 21678 27448 38447 50535 9725 11763 Average monthly expenditure per household (Tk.) Women headed Men headed 4859 4663 5454 5835 5925 5099 7214 6151 7566 7622 8435 9069 10456 10541 12336 11594 15387 15267 17286 8874 7732 7673 7283 7430 7492 8406 8123 8822 9078 9633 10798 12270 12485 13981 14843 16775 18274 19792 26930 11346 Source: Report of the Household Income & Expenditure Survey, 2005 and 2010, BBS 9.07 Per Capita Income and Expenditure of the Women Headed Household It is observed from the table 9.07 that per capita income of women headed household decreased in 2004 compared to 1999. In 1999 the per capita income of women headed household was Tk. 1303 which decreased to Tk. 1109 in 2004. Per capita expenditure also decreased for women headed household in 2004 compared to 1999. However, per capita income of women headed household increased in 2010. It was Tk. 2703 at the national level and Tk. 2233 and Tk. 3984 at the rural and urban areas. The corresponding income was Tk. 1109, Tk. 893 and Tk. 1934 in 2004. Almost similar trend was observed in expenditure between 2004 and 2010. The per capita income and expenditure of poor and non-poor households in 1999 and 2004 has also been presented by residence here. It is seen that, the income of poor household decreased in the national level as well as in the rural areas but increased slightly in the urban area. On the other hand, expenditure of the household increased in 2004 compared to 1999. 112 Table 09.07: Monthly per capita income and expenditure of the women headed household by residence, 1999,2004 and 2010 Survey year Residence Per capita income of women headed Per capita expenditure of women household (Tk.) headed household (Tk.) All Poor Non poor All Poor Non poor 1999 National 1303 622 1877 909 441 1303 Rural 1092 575 1533 811 412 1150 Urban 2351 875 3454 1401 594 2004 2004 National 1109 615 1459 972 480 1322 Rural 893 546 1149 810 443 1080 Urban 1934 907 2567 1594 637 2186 2010 National 2703 1289 3267 2565 1242 3093 Rural 2233 1224 2707 2177 1194 2638 Urban 3984 1584 4557 3623 1461 4140 Source: Poverty Monitoring Survey 2004, BBS and Household Income and Expenditure survey 2010, BBS In 2010, per capita income of poor women household was Tk. 1289 compared to Tk. 3267 for the nonpoor women headed household. Per capita expenditure of poor women headed household was Tk. 1242 compared to Tk. 3093 for the non-poor households. The difference is also well pronounced in the rural and urban areas. 9.08 Annual Education Expenditure Expenditure incurred by households and the share of men and women in educational expenditure has been presented in table 9.08. It is observed from the table that average annual expenditure per household on education stands at Tk. 705 in 2005. It was Tk. 568 for the rural area and Tk. 1108 for the urban area. As regards percent of education expenditure incurred for women and men it is observed that at the national level 43.8% incurred for women compared to 56.2% for men. Such percentage was 42.0% for women and 58.0% for men in the rural area and 46.7% for women and 53.5% for men in the urban area. In 2010 the educational expenditure at the national level stands at Tk. 1599, it was Tk. 982 for rural and Tk. 3283 for the urban areas. The percentage of expenditure incurred by women at national level was 43.8% in 2005 which increased to 46.6 % in 2010. In rural area it was 41.3% and in the urban area it was 51.1%. Table 09.08: Per household and per capita annual expenditure on education by sex and residence, 2005 and 2010 Residence Per household expenditure on Percent of expenditure incurred by sex education ( Tk.) Women Men 2005 National 705.0 43.8 56.2 Rural 568.0 42.0 58.0 Urban 1108.0 46.7 53.5 2010 National 1599 46.6 53.5 Rural 982 41.3 58.7 Urban 3283 51.1 48.9 Source: Household Income and Expenditure Survey -2010, BBS 113 9.09 Type of Education Expenditure Incurred by Sex and Residence It is noticed from the table 9.09 that for women and men, the highest percentage of expenditure was incurred for private tuition fees. Such percentage had increased from 14.23% for women in 2005 to 15.37% in 2010 and 16.94% for men in 2005 which decreased to 16.26 % in the same time. This proportion was 17.27% for women in 2005 and 18.78% in 2010, but for men 18.87% in 2005 decreased to 16.72% in 2010 in the urban area. In the rural area, the highest percentage of expenditure was incurred for books, papers, pens and others. Such percentage was 13.03% for women and 15.85% for men in 2005 while it was decreased to 10.50.% for women and 12.07% for men in 2010. Table 09.09: Percentage distribution of monthly educational expenditure by types of expenditure, sex and residence, 2005 and 2010 Type of expenditure National Women Men 2005 Total 44.27 55.73 Tuition fees 8.1 10.42 Private tuition fees 14.23 16.94 Books, papers, pens & others 10.74 12.54 Hostel charge 2.13 4.91 Other charges 9.04 10.92 2010 Total 46.55 53.45 Tuition fees 8.38 9.51 Private tuition fees 15.37 16.26 Books, papers, pens & others 8.57 9.39 Hostel charge 1.74 4.51 Other charges 12.53 13.79 Source: Household Income & Expenditure Survey, 2010, BBS Urban Women Men Rural Women Men 46.72 10.70 17.27 8.07 2.16 8.51 53.28 12.54 18.87 8.67 3.79 9.41 42.16 5.92 11.63 13.03 2.10 9.48 57.48 8.61 15.29 15.85 5.87 12.22 51.08 11.28 18.78 6.91 0.91 13.21 48.92 10.36 16.72 7.08 1.84 12.92 41.26 4.91 11.40 10.50 2.71 11.74 58.74 8.52 15.72 12.07 7.61 14.82 9.10 Income and Expenditure of the Households who Received Remittance In 2010, the average monthly household income of women headed household who received remittances Tk.16639 who did not receive remittance where estimated at Tk.6521 in table 9.10.1. Per capita income of the women headed household who received remittance presented in table 9.10.2. It is observed from the table that per capita income of women headed household who received remittance was estimated at Tk.4299 against Tk.2057 for not received remittance. Table 09.10.1: Average household income by sex of the head of households received remittance, 2010 Remittance status Women Total Men Total Women Rural Men Total Women Urban Men Total Received remittance 16639 21718 19387 15684 20636 19387 19428 26528 22688 Not received 6521 11124 10640 5283 9078 10640 11534 16318 15954 Total 9725 11763 11479 8413 Source: Household Income & Expenditure Survey, 2010, BBS 9864 11479 14484 16726 16475 114 Table 09.10.2: Per capita income by sex of head of household whose sources of income from remittance, 2010 Remittance status Total Rural Women Men Total Women Men Received remittance 4299 3994 4109 3976 3823 Not received 2057 2405 2379 1705 1937 Total 2867 2517 2553 2509 2083 Source: Household Income & Expenditure Survey, 2010, BBS Total 3878 1918 2130 Women 5317 3334 4101 Urban Men 4728 3651 3704 Total 4984 3632 3740 The following table 9.10.3 shows per capita expenditure of women and men headed households whose main sources of income from remittance. It is observed from the table that per capita expenditure of women household who received remittance was estimated at Tk. 3327 against Tk. 2298 for ‘not received remittance’. Table 09.10.3: Per capita expenditure by sex of head of household whose sources of income from remittance, 2010 Remittance status Received remittance Not received Total Women 3327 2298 2670 Total Men 3080 2424 2470 Total 3173 2415 2491 Women 2885 2033 2334 Rural Men 2873 2031 2096 Total 2877 2031 2122 Women 4721 3259 3824 Urban Men 3965 3472 3496 Total 4293 3459 3526 Source: Household Income and Expenditure Survey -2010, BBS 9.11 Access to Credit by the Grameen Bank It may be mentioned that Grameen Bank is the only bank, which provides credit to women folk in larger proportion compared to other nationalized and private banks. The loan delivery of Grameen Bank has been presented in table 9.11.1 It is observed that as many as 8.33 million loan sanctioned to women compared to 0.28 million to men by Grameen Bank in 2010. Such volume of loan was 6.10 million for women compared to 0.27 million for men in 2007. The average amount of loan for women was Tk. 11063 in 2010 for women compared to Tk. 7836 in 2007. On the other hand , the loan amount for men was Tk. 13777 in 2010 and Tk. 9545 in 2007 respectively. The highest amount of loan was disbursed for agriculture and forestry followed by trading in 2010. 115 Table 09.11:1 Disbursement of loans listed under broad categories of business activities by sex, 2007 – 2010 Categories of activities No. of loans Women Average amount of loans(Tk.) Livestock & fisheries Processing & manufacturing Agriculture & forestry Trading Shop keeping Service Peddling 6101193 1858500 932806 965940 1217859 735696 316302 74090 Total Livestock & fisheries Processing & manufacturing Agriculture & forestry Trading Shop keeping Service Peddling 6851434 1739890 1122871 1458022 1483018 661905 308991 76737 Total Livestock & fisheries Processing & manufacturing Agriculture & forestry Trading 7941856 1708609 1325237 1988247 1767745 2007 7836 7345 7358 7418 8294 9773 7121 7898 2008 8690 8386 8378 8062 9181 10682 8019 9052 2009 9534 9640 9015 4540 10149 707811 348049 96167 Total Shop keeping Service Peddling No. of Loans Men Average amount of loans (Tk.) W/M (%) 265957 63537 50404 38803 50456 37219 23617 1921 9545 9234 8989 9624 10134 11163 7452 11790 96 97 95 96 96 95 93 97 330762 62590 75189 63741 62378 37201 27767 1896 10557 10435 9554 10321 12021 12468 7932 15110 95 97 94 96 96 95 92 98 305671 58668 68704 50720 63840 11510 12331 12296 11209 12159 96 97 95 98 97 11983 8606 9403 31377 29767 2595 14771 8387 11248 96 92 97 11063 11255 10253 9930 11511 15685 10015 11211 284577 55010 65463 56195 54944 28062 22894 2009 13777 13447 11972 13264 16341 18247 9429 13015 97 97 96 98 97 96 93 98 2010 Total 8328549 Livestock & fisheries 1668822 Processing & manufacturing 1484846 Agriculture & forestry 2291251 Trading 1856004 Shop keeping 639269 Service 304014 Peddling 84343 Source: Grameen Bank Annual Report, 2010 The table 9.11.2 shows variation of access to credit by sex and residence. Women access to credit was 59.8% in rural area while 69.2% access in urban area. Men access to credit in rural and urban areas were 40.2% and 30.8% respectively. The proportion of women access to credit was always more than that of men as for following the legislation introduce by the Grameen Bank for improving women’s life through generating income and reducing poverty. 116 Table 09.11.2 Proportion with access to credit by sex and residence, 2010 Residence Total Rural Urban Women 61.6 59.8 69.2 Men 38.4 40.2 30.8 Total 100 100 100 Source: Grameen Bank Annual Report, 2010 9.12 Micro‐Enterprise Loan Delivered by Grameen Bank (GB) Micro-enterprise loan delivered by GB in 2007-2010 has been presented in table 9.12. It is observed from the table that as many as 893,600 micro-enterprise loan was delivered to women in 2010 which was higher than the loan delivered to 272,308 micro-enterprise in 2007. In 2010, number of loans 21233 for men was given with micro-enterprise loan compared to 10,651 loans in 2007. The average amount of loan in 2010 for women was Tk. 27,738 and Tk. 22,842 in 2007. Such amount for men was Tk. 36,142 for men in 2010 and Tk. 22,212 in 2007. The loan amount was used for livestock and fisheries by the highest number of loans by women in 2007 but in 2010 it was for trading. It case of men, the highest loans was also used for trading in 2010. Table 09.12: Disbursement of micro‐enterprise loans under categories of activities by sex, 2007 – 2010 Categories of activities Women No. of loans Men Average amount No. of Average of loans (Tk.) loans amount of loans (Tk.) 2007 Total Services 272308 22842 10651 22212 32696 10528 716 10469 Processing & manufacturing 22574 24469 1340 20297 Shop keeping 47525 30830 1852 32765 Trading 66561 25849 3066 23893 Livestock & fisheries 69042 18935 1949 15828 3437 26437 127 18353 30473 24266 1601 21713 Peddling Agriculture & forestry 2008 Total 423196 24073 18398 26368 Livestock & fisheries 101656 20903 3039 19837 Processing & manufacturing 39067 27262 1545 32240 Agriculture & forestry 71093 23748 2758 39763 125063 24387 6580 26707 Shop keeping 64658 27737 3770 37249 Services 14495 20525 448 18401 Peddling 7164 23540 258 24145 Trading 117 Categories of activities Women No. of loans Men Average amount No. of Average of loans (Tk.) loans amount of loans (Tk.) 2009 Total 685287 23575 15479 32208 Livestock & fisheries 164221 20936 3162 23288 69925 25049 2139 34493 Agriculture & forestry 125467 22686 2629 30309 Trading 205110 23546 4357 34203 Shop keeping 92412 28402 2816 39768 Services 16868 25750 315 28319 Peddling 11284 20463 61 24836 Processing & manufacturing 2010 Total 893600 27738 21233 36142 Livestock & fisheries 219264 22735 4240 25325 88534 33446 2016 34686 Agriculture & forestry 167243 26375 3420 34631 Trading 264870 26807 7161 39163 Shop keeping 118228 37657 3986 43808 20090 27869 259 48602 15371 20591 151 26569 Processing & manufacturing Services Peddling Source: Grameen Bank Annual Report, 201 118 CHAPTER 10 WOMEN EMPOWERMENT Empowerment refers to increasing of the multidimensional qualities of individuals and communities relating to spiritual, political, social, educational and economic strength based on gender issues. Women’s empowerment lays emphasis on women’s freedom of choice and power to control their own lives. This is applicable for both the personal level within the household and at the societal level within the process of social and economic change. Women represent half of the population and gender inequality exists in every nation. Without the participation of women in all spheres of life, the comprehensive sustainable social and economic development could not be achieved. This chapter deals with the empowerment of women in different public, private enterprise and also at household level. The areas that have been focused in this chapter are electoral participation, participation in the cabinet of the government, participation in the public office, role of women household decisionmaking etc. 10.01 Electoral Participation The electoral participation of women refers to participation in the public offices through election. Population participation is presented in table 10.01 for the national assembly, which is the highest policy making body of the country. The number of women elected in general assembly since 1973 is shown in the table only one female member was elected in general seat for the parliament for the first time in 1979. The number of women in general seats are seen very negligible portion composed to the total number of seats in the parliament in 1986, only five women were elected, which come down to 4 in 1991 election. Although the number of women elected in general seats was 11, number declined to 6 in 2001 election. That is women participation in the parliament election for general seats have fluctuated in different periods. In 2008 the total number of women elected in the parliament was the highest (20) and in the subsequent elections during 2009, 2010 and 2011 the number of elected women were 19 persons, which was the second highest number over 38 years since 1973 election. 119 Table 10.01: Population Participation in National Assembly, 1973‐2011 Year of Election 1973 1979 1986 1991 1996 2001 2008 2009 2010 2011 Elected in general seats Women Men -1 5 4 11 6 20 19 19 19 300 299 295 296 289 294 280 281 281 281 No. of women seats in national assembly 15 31 35 34 41 51 65 64 64 69 No. of women elected in reserved seats 15 30 30 30 30 45 45 45 45 50 No. of seats in national assembly Percentage of women in national assembly 315 330 330 330 330 345 345 345 345 345 4.8 9.4 10.6 10.3 12.4 14.8 18.8 18.6 18.6 20.0 Source: Ministry of Establishment and Statistical Profile of Women in Bangladesh 10.02 Participation of Women in Union Parishad Women participation in union parishad is shown in Table 10.02. It revels that the participation rate of women as the chirman in union parishad is very poor it is only 0.47%. On the other hand women participation as the member of the Union Council is seen much higher at 25.26% Table 10.02: Women and men participation in Union Parishad, 2008 Chairman Sex Women Men Both Number 21 4,477 4,498 Member % 0.47 99.53 100.00 Number 13,637 40,339 53,976 % 25.26 74.74 100.00 Source: Local Government Division, Bangladesh Secretariat 10.03 Participation of Women in Upazila Parishad Women participation in upazila parishad is shown in Table 10.03. It is revealed that the total number of chairman in upazila is also very poor, it is only 0.44% in 2009. It is slightly increased to 0.63% in 2010. Table 10.03: Women and men participation in Upazila Parishad, 2009 and 2010 Sex Women Men Both Number 2009 2 452 454 % Upazila Chairman Number % 2010 0.44 99.56 100.00 Source Source: Local Government Division, Bangladesh Secretariat 120 3 473 476 0.63 99.37 100.00 Table 10.03.1: Elected women and men in Union Parishad and Upazila Parishad, 2011‐12 Division/Zila Union Parishad Upazila Parishad Chairman Member Chairman Women Men Women Men Women Men Bangladesh 22 4132 12236 38036 3 473 Barisal Division 3 324 988 2936 0 40 Barguna 1 38 119 349 0 5 Barisal 1 79 243 717 0 10 Bhola 0 65 196 584 0 7 Jhalokathi 0 32 96 288 0 4 Patuakhali 1 60 183 549 0 7 Pirojpur 0 50 151 449 0 7 Chittagong Division 1 907 2725 8171 2 96 Bandarban 0 28 84 252 0 7 Brammonbaria 0 99 297 891 0 8 Chandpur 0 85 255 765 0 8 Chittagong 1 187 564 1692 0 14 Comilla 0 176 528 1584 0 16 Cox’s Bazar 0 71 214 638 0 8 Feni 0 41 123 369 0 5 Khagrachhari 0 36 108 324 0 8 Laksmipur 0 51 153 459 1 4 Noakhali 0 85 255 765 1 8 Rangamati 0 48 144 432 0 10 Dhaka Division 6 966 2879 9412 0 117 Dhaka 0 76 228 684 0 5 Faridpur 3 73 230 682 0 9 Ghazipur 0 36 108 324 0 1 Gopalganj 0 68 206 610 0 5 Jamalpur 0 62 127 557 0 7 Kishoreganj 0 108 324 972 0 13 Madaripur 0 59 183 528 0 4 Manikganj 0 64 194 574 0 7 Munshiganj 1 65 198 594 0 6 Mymensingh 1 145 440 1312 0 12 Narayanganj 1 35 108 324 0 5 Norshingdi 0 66 198 594 0 6 Netrokona 0 86 259 773 0 10 Rajbari 0 42 127 377 0 4 Shariatpur 0 57 177 507 0 6 Sherpur 0 52 159 465 0 5 Tangail 0 98 294 882 0 12 121 Division/Zila Khulna Division Bagerhat Chuadanga Jessore Jhenaidah Khulna Kushtia Magura Meherpur Narail Satkhira Rajshahi Division Bogra Dinajpur Gaibandha Jaipurhat Kurigram Lalmonirhat Naogaon Natore Nawabganj Nilphamari Pabna Panchagarh Rajshahi Rangpur Sirajganj Thakurgaon Sylhet Division Habiganj Mouilvibazar Sunamganj Sylhet Union Parishad Chairman Member Women Men Women 4 563 1502 1 74 228 0 32 96 0 90 270 0 67 201 2 66 203 0 66 198 1 35 110 0 18 54 0 37 111 0 78 234 6 1051 3173 0 107 322 0 99 297 2 75 230 0 29 87 0 70 210 0 45 135 0 99 297 1 51 156 0 45 135 0 59 179 2 69 213 0 42 126 0 62 186 0 70 210 1 78 237 0 51 153 2 321 969 1 76 231 0 66 198 1 85 258 0 94 282 Men 5103 672 288 810 603 609 594 330 162 333 702 9507 962 891 690 261 630 405 891 468 405 529 639 378 558 630 711 459 2907 693 594 774 846 Upazila Parishad Chairman Women Men 0 59 0 9 0 4 0 8 0 6 0 9 0 6 0 4 0 3 0 3 0 7 1 123 0 12 0 13 0 7 0 5 0 9 0 5 0 11 0 6 0 5 0 6 0 9 0 5 0 9 0 8 1 8 0 5 0 38 0 8 0 7 0 11 0 12 10.04 Participation of Women in Cabinet The participation of women in cabinet as minister and state minister ranges from 2 to 6. The proportion of women as percent of total members in the cabinet, ranges from 3% to 13%. The highest 13% women member was in the cabinet since 2009. 122 Table 10.04: Women and men participation in the ministerial level, 1972‐2011 Period Women No. 1972-75 1975-82 1982-90 1991-96 1996-01 2001-02 2001-06 2007-08 (Adviser) 2009 2011 Men % No. Minister/State Minister 4 50 6 101 3 133 5 40 8 33 5 57 3 57 6 16 13 33 13 40 2 6 4 2 3 3 4 1 5 6 % 96 94 97 95 92 95 95 94 87 87 Source: Cabinet Division, Information and Services, Jan’ 2011 10.05 Women Participation in the Civil Service The participation of women in administrative service is presented in Table 10.05.1. It is observed from the table that in the year 2010, out of 4638 officers in civil service only 773 i.e 20.0% were women. The percentage of women at the rank of Secretary is observed 4.26 % and 6.80% were in the rank of Additional Secretary. The proportion of women as Joint Secretary constituted 14.21%, Deputy Secretary 13.81%, Senior Assistant Secretary 26.64% and Assistant Secretary 33.71%. It is notable that the percentage of women participation decreased with the increase in higher position. On the other hand, in the year 2008 out of 4419 officers in civil service only 673 ie 17.97% were women. The percentage of women at the rank of Secretary and Additional Secretary was 1.89% and 1.14% respectively. The percentage of women as Joint Secretary constituted 7.96%, Deputy Secretary 13.20%, Senior Assistant Secretary 19.29% and Assistant Secretary 29.20%. It is remarkable that the proportion of women at different ranks has increased in 2010 compared to 2008. Table 10.05.1: Officers in the ministry by sex and by category‐2006, 2008 and 2010 Rank /Status Women 2006 Men Ratio of women to men 15.0 1.56 0.00 6.87 11.69 Women 2008 Men Ratio of women to men 17.97 1.89 1.14 7.96 13.20 Women Total 676 3816 673 3746 773 Secretary 1 63 1 53 2 Addi. Secretary 0 83 1 88 17 Joint Secretary 25 339 25 314 78 Deputy 172 1299 170 1288 178 Secretary Sr. Asstt. 206 1108 15.68 212 1099 19.29 321 Secretary Asstt. 272 924 22.74 264 904 29.20 177 Secretary Source: Ministry of Establishment; Public Administration Computer Center, 2008 and 2010 123 2010 Men 3865 47 250 549 1289 Ratio of women to men 20.00 4.26 6.80 14.21 13.81 1205 26.64 525 33.71 Table 10.05.2: Employees of different ministries, directorates and corporations by sex, 2009 and 2010 Ministry/Department Women 2009 Men W/M*100 2010 Men Women W/M*100 Ministries/Divisions 1310 7401 17.70 1340 7228 Department/Directorates 206789 610616 33.87 207538 630160 Autonomous bodies/Corporations 15545 206344 7.53 18236 213580 Total 223644 824358 27.13 227114 850968 Source: Ministry of Establishment; Public Administration Computer Center, 2008 and 2010 18.54 32.93 8.54 26.69 10.06 Civil Officers and Staff in the Ministries, Directorates, Autonomous Bodies and Corporations Table 10.06: Number of women and men civil officers and staff in the ministries, directorates, autonomous bodies and corporations, 2006 and 2010 Category of officers and staff Women Men Total Women as % of total 2006 Ministry/Directorates Class-1 5695 36575 42270 Class-2 1716 18722 20438 Class-3 107337 390222 497559 Class-4 12589 87522 100111 All categories 127337 533041 660378 Autonomous bodies/Corporations Class-1 4283 43622 47905 Class-2 2653 28402 31055 Class-3 5982 91024 97006 Class-4 3248 71111 74359 All categories 16166 234159 250325 Source: Statistics of Civil Officers and Staff, 2006 and 2010 124 Women Men Total Women as % of total 2010 13.5 8.4 21.6 12.6 19.3 10229 4143 150995 43511 208878 45130 18940 446666 126652 637388 55359 23083 597661 170163 846266 18.5 18.0 25.3 25.6 21.7 8.9 8.5 6.2 4.4 6.5 5310 2901 7022 3003 18236 43107 27604 80279 62590 213580 48417 30505 87301 65593 231816 11.0 9.5 8.0 4.6 7.9 Women’s participation in ministries, directorates and autonomous bodies is shown in Table 10.06. It is observed that women participation under ministries and directorates, all categories is 21.7% and in autonomous bodies it is only 7.9% in 2010. In ministries and directorates the highest proportion is observed for class-4 employees (25.6%) followed by class-3 (25.3%) and class-1 (18.5%). In the autonomies bodies, the highest percentage is seen the class-1 post (11.0%) followed by class-2 (9.5%), class-3 (8.0%), class-4 (4.6%). In the subsequent years, the percentages of women in ministries/directorates and autonomous bodies are seen increasing. 10.07 Officers and Staff in Ministry of Home Affairs Table 10.07: Officers and staff in ministry of home affairs by sex and categories, 2008‐2010 Category of officers Women Men Women as % of total 1387 2702 137664 6077 147830 8.63 1.92 1.98 5.08 2.18 1410 2662 139201 6056 149329 8.50 1.88 2.04 5.08 2.23 1915 3001 147882 5848 158646 8.11 2.15 2.51 7.89 2.78 2008 Class-1 Class-2 Class-3 Class-4 Total 131 53 2778 325 3287 Class-1 Class-2 Class-3 Class-4 Total 131 51 2895 324 3401 2009 2010 Class-1 169 Class-2 66 Class-3 3806 Class-4 501 Total 4542 Source: Statistics of Civil Officers and Staff, 2008-2010. 125 Table 10.07.1: Officers and staff in ministry of defense by sex and categories, 2008‐2010 Category of officers Women Men Women as % of total 361 303 3950 1781 6395 8.61 6.77 9.22 6.90 8.43 346 260 3735 1708 6049 9.42 7.47 7.85 5.16 7.18 427 789 11885 12059 25160 8.17 3.78 5.63 4.48 5.07 2008 Class-1 Class-2 Class-3 Class-4 Total 34 22 401 132 589 Class-1 Class-2 Class-3 Class-4 Total 36 21 318 93 468 2009 2010 38 Class-1 31 Class-2 709 Class-3 565 Class-4 1343 Total Source: Statistics of Civil Officers and Staff, 2008-2010. Table 10.07.2: Employees in police force by sex and categories, 2008‐2010 Category of officers Women Men Women as % of total 2008 Class-1 Class-2 Class-3 Class-4 Total 104 42 1646 213 2005 Class-1 Class-2 Class-3 Class-4 Total 104 42 1646 213 2005 1080 1947 113064 2551 118642 8.78 2.11 1.43 7.71 1.66 1080 1947 113064 2551 118642 8.78 2.11 1.43 7.71 1.66 1606 2332 120698 2325 126961 8.18 2.43 2.06 14.49 2.41 2009 2010 Class-1 143 Class-2 58 Class-3 2540 Class-4 394 Total 3135 Source: Statistics of Civil Officers and Staff, 2008-2010. The participation of women in police force is shown in Table 10.07.2. It is observed from the table that in the year 2010, the percentage of women as class-1 constituted 8.18%, class-2- 2.43%, class-3 employee 2.06% and class-4 employees in police force was 14.49%. On the other hand, in the year 2008, the percentage of women as class-1 constituted 8.78 %, class-2 police force 2.11% and class-3, 1.43% and 126 class-4 employees in police force 7.71% . It is notable that in between the years 2008 and 2010 the participation of women has increased almost double in the rank of class-4 position in police force. 10.08 Women Participation in Supreme Court Number of Lawyers in Supreme Court by sex for the period 2008 is shown in table 10.08. According to Bangladesh Bar Council Report- 2008, the total number of Lawyers in Supreme Court was 1780 of them 13.0% were women and 87.0% were men. It is clear from the table that women’s participation in Supreme Court is very poor compare to its counterpart. Table 10.08: Lawyers ( in Supreme Court) by sex, 2008 Sex Women Men Both Source: Bangladesh Bar Council, 2008 Number of lawyers 231 1549 1780 % 13.0 87.0 100.0 10.09 Participation of Women in Dewani (Civil) Court by Division The participation of women in Dewani (Civil) Court by Division for the period 2008 is shown in Table 10.09. It is observed from the table that the highest percentage of women in Dewani (Civil) Court was found in Dhaka Division (12.7%) followed by Chittagong Division (7.0%) and Rajshahi Division (5.8%). The percentage of women in Dewani (Civil) Court was the lowest in Sylhet Division (5.2%). On the other hand the participation of women in Dewani (Civil) Court by Division for the period 2009 the highest percentage of women was found in Dhaka Division (12.7%) followed by Chittagong and Khulna Division (9.9%) and Barisal Division (7.8%). The percentage of women in Dewani (Civil) Court was the lowest in Sylhet Division (5.3%). Table 10.09: Lawyers in civil court by sex and by division, 2008‐09 Division Women Men Total Women as % of total 1409 4072 13207 3187 3880 1556 27311 1489 4377 15136 3376 4118 1641 30137 5.3 7.0 12.7 5.6 5.8 5.2 9.4 1970 4150 13207 4150 4953 1825 30225 2137 4605 15136 4605 5330 1922 33735 7.8 9.9 12.7 9.9 7.1 5.3 10.4 2008 Barisal Chittagong Dhaka Khulna Rajshahi Sylhet Total 80 305 1929 189 238 85 2826 2009 Barisal Chittagong Dhaka Khulna Rajshahi Sylhet 197 455 1929 455 377 97 Total 3510 Source: Bangladesh Bar Council, 2008 and 2009 127 10.10 Women Participation in Co‐operative Society The participation of women in primary co-operative society is presented in Table-10.10. It is revealed that of the total members of the primary co-operative society and the percentage of women were 15.61%. It is observed from the table that in 2006-07 the highest percentage of women in primary co-operative society was found in Khulna Division (19.35%) followed by Chittagong Division (17.00%) and Rajshahi Division (16.60%). The percentage of women members in the co-operative society was the lowest in Dhaka Division (11.32%). On the other hand, in 2009-10 the highest percentage of women in primary co-operative society was found in Khulna Division (25.49%) followed by Sylhet Division (23.71%) and Rajshahi Division (21.360%). The percentage of women members in the co-operative society was the lowest in Dhaka Division (11.91%). Table 10.10: Number of members in the cooperative society by sex and division, 2006‐ 2010 Division Women Dhaka Chittagong Rajshahi Khulna All 287029 295400 351013 329356 1262798 Men Total Women as % of total 2007 2248690 2535719 1441499 1736899 1763593 2114606 1373016 1702372 6826798 8089596 2009 Dhaka 268053 2368480 2636533 Chittagong 214874 1228515 1443389 Rajshahi 273380 1026691 1300071 Khulna 275704 906419 1182123 Barisal 86638 558558 645196 Sylhet 100193 314934 415127 Rangpur 117564 765735 883299 All 1336406 7169332 8505738 2010 Dhaka 322035 2381997 2704032 Chittagong 221503 1255782 1477285 Rajshahi 291261 1072408 1363669 Khulna 282823 826516 1109339 Barisal 89212 589302 678514 Sylhet 104633 336758 441391 Rangpur 135206 764665 899871 All 1446673 7227428 8674101 Source: Annual Report, Directorate of Co-operative 2006-2007 and 2009-2010 11.32 17.00 16.60 19.35 15.61 10.10 14.81 21.02 23.32 13.43 24.14 13.31 15.70 11.91 14.99 21.36 25.49 13.15 23.71 15.03 16.68 10.11 Women Participation in Nursing Profession Women participation in Nursing Profession is presented in Table 10.11. It is observed from the table that in the year 2008-09, the highest percentage of women as class-1 constituted 100%, for class-2 it is 97.4%, and for class-3 it is 97.4% and for all categories it is 89.5% . 128 Table 10.11: Number of women and men officers and staff in the nursing profession, 2008‐2009 Category of officers and staff Ministry/Directorates Class-1 Class-2 Class-3 All categories Class-1 Class-2 Class-3 All categories Women 8 152 11944 12104 6 740 11281 12027 Men 2008-09 4 1422 1426 2009-10 62 1605 1667 Total Women as % of total 8 156 13366 13530 100% 97% 89.4% 89.5% 6 802 12886 13694 100.0% 92.3% 87.5% 87.8% Source: MHFW , Directorate of Nursing Services 10.12 Women Role in Decision‐making at the Household Level Women’s role in household’s decision making in respect to food expenditure, food procurement, food cooking, visiting to health society for her health needs and sending of mothers or children to health facility centre for his/her health needs etc. is presented in table 10.12. Forty seven percent decisions in respect to food expenditure is under taken by the husband only and in 32.6% cases decision is undertaken jointly by mother and other household member. As regards decision for food procurement husband takes the decision alone in 44.1% cases. Mother and other household members take 34.0% cases decision jointly. It is notable that in case of cooking food, 50.9% decision making is done by mother and other member of the household (27.1%). It is observed that in case of intending health facility for her own health needs, women and other members are jointly taken decision in 40.7% cases. Husband takes decision in 39.1% cases. Only in 5.6% cases mother can take decision by herself to visit health centre for her own health needs. In case of mother’s child sending to health facility for his/her health needs, the decision is undertaken by the highest 41.6% by the mother and other members of the households jointly followed by husband only 38.8%. The urban-rural difference in case of decision-making in the household level is not significant. Table 10.12: Women participation in specific household decision‐making by type and residence,2005 Household decision How much money the household spent on food Person who makes the decision Mother only Husband only Mother and other household members jointly Other household members (s) Rural 5.2 47.8 32.0 14.9 Urban 6.4 44.3 34.8 14.6 National 5.4 47.1 32.6 14.9 What food was bought for the household Mother only Husband only Mother and other household members jointly Other household members (s) 6.2 44.8 33.8 15.3 9.5 41.2 35.2 14.1 6.8 44.1 34.0 15.0 What food was cooked for the household Mother only Husband only Mother and other household members jointly Other household members (s) 49.5 10.6 27.5 12.3 56.7 6.1 25.3 12.0 50.9 9.7 27.1 12.3 129 Household decision Whether mother attended a health facility for her own health needs. Person who makes the decision Mother only Husband only Mother and other household members jointly Other household members (s) Rural 5.3 38.8 40.8 15.2 Urban 7.1 40.3 40.5 12.0 National 5.6 39.1 40.7 14.6 Mother only Whether mother or other member went Husband only to a health facility for Mother and other household members jointly his her health needs Other household members Source: Child and Mother Nutrition Survey of Bangladesh – 2005, BBS 4.7 38.8 41.5 15.0 7.3 38.8 42.1 11.8 5.2 38.8 41.6 14.4 10.13 Attitude of Men towards Women Freedom of Movement The attitude of men towards women freedom of movement is shown in Table 10.13. It is noticed from the table that in the rural area, 29.1% cases support that women could go outside the village alone and 27.6% support that women could go to health center or hospital and 14.4% support that they could go to both places. Women could go at best one such place was supported by 42.2% men and could not go neither place suppressed by 57.8% men. The attitude of urban men is different from the rural area where 37.1% men supported that women could go outside the village, 42.6% supported that women could go to health center or hospital, 24.8% urban men supported that women would go to both places. Women could go at best one such place was supported by 55.4% urban men and could not go to neither place was supported by 44.6% urban area. Table 10.13: Women’s freedom of movement by background characteristics, 2004 Background Characteristics Age group 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 Residence Urban Rural Division Barisal Chittagong Dhaka Khulna Rajshahi Sylhet Outside the village Women who go or can go outside alone To both To at least To Health places one place Center or hospital To neither place Number of women 35.4 34.7 31.8 27.0 29.4 28.7 33.8 34.0 16.1 19.2 26.9 33.7 36.8 35.9 36.7 33.0 12.4 12.1 14.0 15.8 18.6 18.4 23.5 20.9 39.0 41.8 44.8 44.9 47.6 46.1 47.0 46.0 61.0 58.2 55.2 55.1 52.4 53.9 53.0 54.0 145 1,536 2,121 1,953 1,683 1,309 982 870 37.6 29.1 42.6 27.6 24.8 14.4 55.4 42.2 44.6 57.8 2372 8210 21.5 32.3 31.3 34.3 32.7 21.6 30.4 30.0 30.6 40.0 30.1 21.5 13.1 17.4 16.8 22.4 16.0 10.3 38.7 44.9 45.0 51.9 46.8 32.9 61.3 55.1 55.0 48.1 53.2 67.1 674 1,877 3,315 1,296 2,782 638 130 Background Characteristics Outside the village Women who go or can go outside alone To Health To both To at least Center or places one place hospital Education No education 27.7 29.9 16.0 Primary in complete 26.9 29.3 14.2 Primary complete 27.9 29.4 14.7 Secondary 34.2 31.3 17.2 incomplete Secondary complete 52.9 41.6 28.9 or higher Source: Bangladesh Demographic & Health Survey, 2004, NIPORT To neither place Number of women 41.6 42.0 42.6 48.3 58.4 58.0 57.4 51.7 4,187 2,176 958 2,457 65.6 34.4 804 Table 10.13.1: Percent distribution of currently married women age 15‐49 by freedom of movement to go to a hospital or health center, according to background characteristics, 2007 Background Characteristics Cannot go to Total Number Goes or can Goes or can of health center go alone to go alone to women or hospital health center health alone or with or hospital center or children with children hospital Age group 15-19 59.6 6.4 34.1 100.0 1376 20-24 68.0 12.6 19.4 100.0 2094 25-29 70.6 15.6 13.8 100.0 1859 30-34 69.2 18.0 12.8 100.0 1551 35-39 66.3 20.4 13.4 100.0 1437 40-44 63.6 22.1 14.2 100.0 1040 45-49 55.8 27.9 16.4 100.0 835 Residence Urban 74.0 13.2 12.8 100.0 2283 Rural 63.5 17.4 19.1 100.0 7909 Division Barisal 63.1 18.5 18.4 100.0 626 Chittagong 62.7 16.3 21.0 100.0 1877 Dhaka 96.2 16.5 14.2 100.0 3189 Khulna 69.4 18.0 12.6 100.0 1281 Rajshahi 67.9 13.3 18.8 100.0 2584 Sylhet 45.5 23.9 30.6 100.0 635 Educational attainmtnt No education 59.3 20.1 20.6 100.0 3282 Primary in complete 63.6 19.8 16.6 100.0 2161 Primary complete 67.1 15.0 17.9 100.0 888 Secondary incomplete 69.7 12.1 18.2 100.0 2584 Secondary complete or higher 77.7 11.3 11.0 100.0 1260 Source: Bangladesh Demographic & Health Survey, 2007, NIPORT 131 132 CHAPTER 11 Violence against Women Violence against women is a violation against human rights. It is curse of human civilization. According to UN declaration on the elimination of violence against women means ‘any act of gender based violence that result in, or is likely to result in, physical, sexual or mental harm or suffering to women, including threats of such acts, coercion or arbitrary deprivation of liberty, whether occurring in public or in private life. Constitution of Bangladesh has permitted equal right to all citizens irrespective of sex, religion and caste. In spite of this the women of Bangladesh are the most vulnerable section of population of the country. The most visible and extreme form of oppression to women by men is violence against women. The data on violence against women can be seen in table 11.01 and 11.02. Violence includes rape, acid throwing, physical torture, dowry, seriously injury and others. The information on cases of reported violence against women and children by categories has been presented in table 11.01. Only the reported cases of Gender-Based Violence (GBV) are presented here which is usually registered to the police department. It is revealed from the data that the trend of rape was fluctuating over the years with the highest in 2003. After 2003 the incidence of rape reduced in 2004, 2005 and 2006, however, it increased in 2007. In 2009 rape cases recorded show reducing at 2973 incidents, but in 2010 and 2011 it started again to increase with the number of incidents 3367 and 3675 respectively. The rape violence situation is aggravating rather than improving . 11.01 Cases of Reported Violence against Women and Children Table 11.01: Cases of reported violence against women and children by categories 2002‐ 2011 Year Women oppression Child oppressi on Rape Acid throwing Dowry Seriously injured Total 19039 1087 5400 2002 3702 214 1079 2003 4118 207 1209 2004 2865 191 663 2005 2556 183 568 2006 2453 145 1205 2007 3345 147 676 2009 2973 100 4061 233 2010 3367 97 5331 296 2011 3675 88 7079 419 Source: Police Head Quarter, Ministry of Home, 2008 Others 56288 11346 12853 8023 7561 7421 9084 5465 7159 8637 Total 81870 17153 18337 11643 10871 10622 13244 12832 16250 19898 3725 535 461 532 483 774 940 1600 1719 Acid throwing, seriously injured and other categories were in the same trend as rape with some exception. But the child oppression was fluctuated over time. During the period 2002 to 2007, the child oppression was higher (940) in 2007 while it was lower in 2003 with 461 child oppression cases. In the years 2011 and 2010 the events of child oppression were recorded highest 1719 and 1600 events respectively. However, overall cases of women and child oppression increased gradually in 2009, 2010 and 2011. Rape cases increased from 2973 in 2009 year, 3369 cases in 2010 and 3675 cases reported in 2011. Women oppression in case of dowry 4061 incidents reported in 2009 year, 5331 in 2010 and 7079 incidents occurred in 2011. The violence for dowry is also an alarming situation, gradually increasing over the period from 2009-2011. 133 11.02 Cases of Violence against Women and Children by Month Monthly reported cases of violence against women and children has been presented in table 11.02. It is observed from the table that the total number of reported cases of violence was 10871 in 2005, 10622 in 2006, 13244 in 2007, 16250 in 2010 and 19998 in 2011. Table 11.02: Number of reported cases of violence against women and children by month during 2005‐2010 Month Rape Total January February March April May June July August September October November December 2556 153 177 227 203 250 248 246 247 256 217 184 148 Total January February March April May June July August September October November December 2453 159 181 235 246 221 220 237 232 178 188 200 156 Violence against women Acid Seriously Others throwing injured 2005 183 568 7561 7 19 459 12 36 547 9 46 588 10 36 688 24 42 732 16 59 723 19 63 744 20 61 732 18 70 699 29 46 572 8 55 566 11 35 511 2006 145 1205 7421 6 39 477 12 33 591 11 73 648 8 614 605 10 50 731 15 56 656 19 63 741 13 70 719 13 66 585 11 54 597 11 44 611 16 43 460 134 Total Child oppression 10871 638 774 870 939 1048 1048 1079 1057 1044 852 808 714 483 20 31 31 57 51 56 48 53 48 35 26 27 10622 665 833 941 919 1004 948 1071 1030 843 843 870 655 774 51 66 70 136 55 70 51 76 62 53 51 33 Month Violence against women Acid Seriously Others throwing injured 2007 Total 3345 147 676 9084 January 123 8 47 393 February 179 12 35 611 March 325 7 53 826 April 331 12 68 863 May 373 20 72 866 June 322 11 61 869 July 329 15 57 883 August 316 9 60 829 September 287 19 59 722 October 280 10 51 750 November 262 12 64 840 December 218 12 49 632 2010 Total 3367 97 4064 8722 January 172 12 166 524 February 193 10 197 504 March 274 6 287 655 April 329 7 313 757 May 310 8 374 722 June 317 8 374 759 July 331 11 389 805 August 301 8 402 827 September 280 5 368 801 October 346 10 433 889 November 271 5 440 761 December 243 7 335 718 2011 Total 3675 88 5047 11188 January 222 7 328 633 February 254 8 406 734 March 300 11 430 866 April 341 9 430 884 May 321 5 470 915 June 291 2 417 827 July 362 8 474 1081 August 313 10 496 1014 September 381 9 493 1193 October 382 8 438 1192 November 254 4 346 1007 December 254 7 328 842 Source: Police Head Quarter, Ministry of Home, 2008 Rape 135 Total Child oppression 13244 604 836 1204 1287 1334 1258 1233 1216 1087 1091 1179 915 940 46 75 94 92 87 108 84 90 62 74 76 52 16250 874 904 1222 1406 1414 1458 1536 1538 1454 1678 1477 1303 1600 107 90 143 166 136 139 171 110 118 162 144 114 19998 1190 1402 1607 1664 1711 1537 1925 1833 2076 2020 1611 1431 1719 90 130 168 159 156 119 177 127 161 167 160 105 The trend of violence against women was fluctuated. On the other hand, violence against children was also fluctuated over time. It was 483 in 2005, 774 in 2006 and 940 in 2007. It is also noticed from this table that violence against women occurred the highest number of cases during May to September in 2005, May to August in 2006 and March to November in 2007. In the year 2010 and 2011 cases of child violence increased in number 1600 and 1719 respectively. 11.03 Progress on Anti‐trafficking Measures Progress report on anti-trafficking measures specially trafficking in women and children has been shown in table 11.03. Table 11.03: Progress report on anti‐trafficking measures specially trafficking in women and children from 15 June 2004 to 15 March 2007 Sl. No Subject 1. Monitoring of Cases relating to trafficking women and children: From 1st Phase to 5th Phase (From 15 June 2004) 38 cases are taken by Police Monitoring Cell for close monitoring 2 Total disposed of cases From 15 June 2004 to 15March 15March 2006 2007 Present position 1. Total selected cases 2. Total disposed of cases 3. No. of cases ended in conviction 4. Number of accused Convicted a. Death sentence b. Life imprisonment c. Other terms 5. No. of cases ended in acquittal 6. No. of persons acquitted No. of cases disposed of No. of cases convicted No. of accused convicted Live time Other terms Death sentence No. of cases acquitted No. of persons acquitted 1. Total cases disposed of under monitoring 2. No. of cases disposed of out of monitoring Total 3. No. of cases ending in conviction 4. No. of cases ending in acquittal 5. No. of persons convicted 6. No. of persons acquitted 136 16-3-05 to 15-3-06 (cont. rept) 16-3-06 to 15-3-07 146 118 65 146 142 75 60 46 18 24 10 111 128 26 17 3 82 26 53 3 95 30 67 0 22 4 28 13 4 14 214 10 2 4 2 2 8 25 128 251 23 10 15 11 3 1 13 47 174 22 9 2 1 3 2 1 7 23 56 37 13 8 11 9 1 1 5 22 46 61 97 30 36 189 79 271 108 86 24 82 29 110 163 62 53 130 397 175 566 36 160 4572 169 Sl. No 3 Subject Present position Monitoring of new cases (since 15 June 2004) Total cases instituted Total accused Arrested No. of cases relating to complicity of officials No. of officials involved Charge Sheet (CS) Final Report (FR) Police RAB BDR Self 4 Number of persons rescued by 5 Rehabilitation of trafficked persons 6 Repatriation, rehabilitation and reintegration of camel jockeys/ trafficked persons Prevention at Airport/Land port From 15 June 2004 to 15March 15March 2006 2007 262 390 861 1283 309 427 2 3 Total 7 1. Parents 2. NGOs safe home 3. Govt. safe home Total 1. Total number of Jockeys repatriated 2. Total number of Jockeys reintegrated 3. No. of Jockeys yet to be reintegrated 1 Airport a. ZIA Dhaka: 1. Check-in-counter 2. Immigration 3. Passport checking Unit b. Chittagong Airport: c. Sylhet Airport 2. Land port a. Benapole, Jessore b. Hilli, Dinajpur. Grand Total As on 30 June, 2004 15 278 78 325 25 98 111 559 540 8 11 559 200 0 134 32 87 17 2 49 155 178 4 6 188 164 5 80 26 102 63 33 198 220 8 11 239 32 152 199 149 -47 16 1 15 -15 35 2007 29 2071 88 119 35 3142 29 3206 88 120 1 1445 1 1447 24 71 882 882 1 48 23 2349 48 25 3487 18 12 1572 2 885 1) Under Trial 494 1) Under Trial 492 2) Under Investigation 21 2) Under Investigation 26 Total 515 Total 518 Source: Database on Women and Children Issues, MWCA, 2008 and MWCA 2010 137 16-3-06 to 15-3-07 128 422 118 1 8 198 52 223 25 35 78 361 320 25 16 361 168 Total pending cases As on 31 December, 2006 As on 28 February, 2007 571 16-3-05 to 15-3-06 (cont. rept) 156 452 146 0 As on 15 March, 2007 1) Under Trial 2) Under Investigation Total 494 21 515 11.04 Disposal of Cases Relating to Trafficking in Women and Children for Monitoring Table 11.04 has been presented the information on disposal of cases relating to trafficking in women and children for monitoring. Total cases disposed, total cases ended in, total persons who were related to trafficking in women and children and nature of conviction and acquittal can be seen from the table. Table 11.04: Disposal of cases relating to trafficking in women and children, 2006‐2007 Disposed by National Monitoring Committee/Cell Direct Monitoring Committee/Cell Total Total cases disposed 46 Total cases ended in Conviction Acquittal Total persons ConvicAcquittion tal Nature of conviction Death Life term Other terms Period: From 16 March 2006 to 15 March 2007 (One year) 25 21 39 65 3 30 37 6 83 31 31 1 04 1 52 45 174 4 Period: From 16 June 2004 to 15 March 2007 92 82 153 304 6 30 7 113 34 National Monitoring 174 Committee/Cell Direct Monitoring 97 16 81 Committee/Cell Total 271 108 163 Source: Database on Women and Children Issues, MWCA, 2008 6 109 6 22 262 2 15 5 175 566 8 128 39 11.05 Disposal of Cases Disposal of cases against violence has been presented in the following table 11.05. It is revealed from the data that number of cases reported had increased from 125 in 2001 to 164 in 2005. Similarly number of cases disposed had increased from 17 in 2001 to 109 in 2005. It is noticeable that disposal of cases remarkably increased in 2004 and 2005 due to effective monitoring system. Table 11.05: Disposal of cases for five years (2001‐2005) Year 2001 2002 2003 2004 2005 Number of cases instituted 125 144 152 134 164 Source: Database on Women and Children Issues, MWCA, 2008 138 Number of cases disposed 17 20 31 68 109 CHAPTER‐12 MDG Indicators and Gender Dimension of SAARC Countries This chapter presents some selected MDG indicators disaggregated by sex. It may be mentioned that sex disaggregated data are not available for many of the MDG indicators. However, attempt has been made to include some of the selected indicators among the SAARC countries. 12.1 Selected Indicators of MDG The headcount ratios of men and women headed household indicate that headcount ratio of women headed household is much lower than men headed household. This can be explained by the fact that women become head in absence of husband. In a number of cases women become head as their husbands are working abroad or in the cities elsewhere in the country. The condition of these household are better off than the general household. Therefore, the rate for women are lower than men. On the contrary, the headcount ratio of women of destitute households without husband or divorced or separated women would be higher. Prevalence of underweight is also low for girl child and also for primary school enrolment. But, adult literacy rate is lower for women than men. Though Bangladesh achieved gender parity in primary and secondary education level but yet to achieve in the tertiary level. The condition of girls with respect to under five mortality and infant mortality is slightly better than boys but in respect of immunization against measles the rate of coverage for girls is lower than boys. It is frustrating that the wage rate of women are much lower than men and the volume of overseas employment is also much lower. The participation of women in Local Government institutions is very low, however, increasing in the national parliament. The official record on violence against women indicates that violence against women are increasing. The real picture might be more aggregative. 139 Table 12.01: Selected MDG and PRS indicators disaggregated by sex. SL No. Indicator Sex/upperlower Base Current Year Year Value Target Year 2015 Source Year Value Women Men 1989 1989 35.4 34.2 2010 2010 26.6 32.1 20.5 Upper Lower Both 2000 2000 2005 12.8 7.5 8.8 2010 2010 2010 6.5 3.1 8.8 8.5 5.0 Both 2005 42.5 2010 41.5 Upper Lower Women Men 2000 2010 9.0 0.8 33.6 37.6 5.0 HEIS, BBS HEIS, BBS 12.9 87.1 - SVRS BBS 1. Household (HH) and Socio-Demographic 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 Incidence of poverty by CBN method-using upper poverty line head count ratio by sex Poverty gap ratio (%) Share of poorest quintiles in national consumption (%) Share of highest quintiles in national consumption (%) Poverty severity index (Square poverty gap) Head-count rate of incidence of poverty of HH without remittance by sex of head HH Ratio of male- headed and female headed HH of total HH Per capita income of maleheaded and female- headed HH who received foreign remittance 2005 4.6 2.4 39.7 42.7 2010 Women Men 1991 14.0 86.0 2010 Women Men 2005 1895 1454 2010 HEIS, BBS HEIS, BBS HEIS, BBS HEIS, BBS HEIS, BBS 2. Health and Nutrition 2.01 Maternal mortality ratio Female 1991 4.72 2010 2.16 1.18 2.02 Infant mortality rate 1991 Under five mortality rate 2.04 2.05 Total fertility rate Proportion of 1 year old child immunized against measles Proportion of birth attended by skilled health personnel Contraceptive prevalence rate Adolescent birth rate per 1000 women Antenatal care coverage (At least one visit) Antenatal care coverage (At least four visits) Unmet need for family planning HIV prevalence among high risk group (%) 90 95 150 151 4.24 53.4 54.5 2010 2.03 Female Male Female Male Female Girls Boys 35 38 43 50 2.12 86.5 88.5 30 32 48 48 2.10 100 100 Both 1991 7.0 2009 24.4 50 Couple 1991 39.9 2010 56.7 100 SVRS Adolescent 1991 77 2007 59 43 SVRS Pregnant women Pregnant women Couple 1993 27.5 2007 39.6 100 NIPORT 1993 5.5 2011 25.6 50 NIPORT 1993 19.4 2011 11.7 0 NIPORT Both 1991 0.005 2010 0.66 2.06 2.07 2.08 2.09 2.10 2.11 2.12 1991 1991 1991 140 2010 2010 2006 SVRS BBS SVRS BBS SVRS BBS SVRS MICS DGHS MICS DGHS Halting SL No. 2.13 2.14 2.15 2.16 2.17 2.18 2.19 2.20 2.21 2.22 Indicator Condom use rate (%) Proportion of population aged 15-24 years with comprehensive and correct knowledge of HIV/AIDS (%) Prevalence of Malaria per 100,000 population Death rates associated with Malaria per 100,000 pop. Prevalence of TB (per 100,000 population) Death rates associated with TB per 100,000 pop. Achieve, by 2010 universal access to treatment for HIV/ AIDS for all who need it (%) Percentage of wasting in children under moderately and severely under weight Percentage of wasting in children under moderately and severely under weight Percentage of children under moderately and severely under weight Sex/upperlower Male Female Male Base Year 1991 Value - Current Year Year Value 2010 3.8 2009 8.0 17.9 Target Year 2015 100 22 Source DGHS Both 2000 43 2007 58.6 Both 2000 0.37 2008 0.11 Both 1990 264 2007 225 Sustain DGHS Both 1990 76 2007 45 Sustain DGHS 2007 0.5 Both Halting DGHS DGHS Girls Boys 1990 65.9 65.6 2005 45.3 47.1 33.0 CMNS BBS Girls Boys 1990 13.8 15.3 2005 14.5 14.4 CMNS BBS Girls Boys 1990 67.8 64.8 2005 39.0 40.3 CMNS BBS Girls Boys Girls Boys 1991 54.2 60.5 41.4 40.0 2010 87.8 85.6 81.0 70.7 100 100 100 100 DPE BBS DPE/ MICS Female Male Female Male Primary Secondary 1991 25.8 44.3 38.0 51.7 0.83 0.52 2010 55.4 62.9 81.4 78.1 1.03 1.17 100 100 100 100 1.0 1.0 BBS Girls Boys Girls Boys Girls Boys F/M 2002 64.9 63.0 38.5 31.7 46.6 70.4 64.9 2007 Girls Boys Girls Boys 2002 3. Education 3.01 3.02 3.03 3.04 3.05 3.06 3.07 3.08 3.09 3.10 3.11 Net enrolment rate in primary education Proportion of pupil enrolled in grade 1 and reached grade V1 Adult Literacy Rate Literacy rates of people aged 15-24 years Ratio of girls to boys (Gender parity index (Girls/Boys) Primary cycle completion rate Secondary cycle completion rate Completion at Dakhil Madrasa Ratio of literate women to men of age 20-24 (%) Repetition rate in Primary education Gross enrolment rate by sex (Secondary) 1991 1991 1991 1999 1999 1991 2001 141 11.1 10.7 46.2 43.1 2009 2010 2009 2005 2005 2010 2005 2005 41.6 49.0 16.7 23.5 17.9 30.7 124. 3 11.2 10.7 47.2 42.7 BBS DPE BBS DPE DPE BANBEIS BBB BANBEIS BANBEIS SL No. 3.12 Indicator Gross enrolment rate (Dakhil) Literacy rate of population aged 7+ Dropout Rate Primary Secondary Sex/upperlower Girls Boys 3.13 Female Male 3.14 Girls Boys Girls Boys Higher Secondary Girls Boys 4. Participation in mainstream economic activities 4.01 Sex ratio of paid employee F/M 4.02 Sex ratio of self-employed F/M or employer Female 4.03 Share of women in wage employment in agriculture sector Female 4.04 Share of women in wage employment in nonagriculture sector 4.05 Net employment rate by Female sex Male 4.06 Labour force participation Female rate (Refined) Male 4.07 Unemployment rate Female Male 4.08 Share of self-employment Female of total employed Male 4.09 Proportion of own account Female and contributing workers in Male total employment 4.10 Graduation rate in microFemale credit program Male 4.11 Ratio of poor households Female covered through microMale credit by sex of head of HH Female 4.12 Wage rate by sex for NonMale agriculture worker Female 4.13 Wage rate by sex for Male agriculture worker Female 4.14 Employment in garments Male industry by sex 5. Political and social empowerment 5.01 Average number of hours Female per week spent on Male household work and care of family members 5.02 Proportion of national and Female local level elected person Male 5.03 Percentage seats in the Female government Male 5.04 Percentage of seats in the Female local government Male Base Year 2001 1991 2002 2001 1999 Value 8.7 8.7 25.5 38.9 36.9 38.2 86.0 79.7 39.2 40.4 Current Year Year Value 2005 9.7 9.2 2009 50.6 58.9 2010 12.2 14.4 2006 77.5 70.2 2006 31.0 29.5 Target Year 2015 Source BBS BBS DPE BBS BANBEIS BANBEIS 1990 1990 142 599 2005 2005 398 1008 LFS LFS 1990 45.5 2005 66.6 LFS 1990 19.1 2005 14.6 LFS 1989 41.4 2005 1999 23.9 84.0 7.8 3.4 26.6 51.4 34.1 6.4 2010 93.0 96.7 36.0 82.5 5.7 4.1 25.1 47.5 73.8 5.8 1999 1999 1999 2010 2010 2009 2003 2005 2009 2009 LFS LFS LFS WMS BBS 59.4 40.6 15 49 161 172 107 148 80 20 2001 75 25 2010 2005 15 49 2010 29 23 - LFS 2008 30 70 23.2 76.8 0.5 99.5 - EC - EC - EC 1991 10.3 89.7 2008 2008 142 SL No. Indicator Sex/upperlower Base Female Percentage of women in Male decision making positions in public sector Female 5.06 Percentage of women in Male first class government service 5.07 Recipient of Remittance by Female sex Male 5.08 Proportion of female and Female male headed households Male with own house (a) beneficiary 5.09 Proportion of female and Female male headed households Male with own house (a) nonbeneficiary Percentage of women in 5.10 Female the bar council Male Percentage of women in 5.11 Female the cooperative society Male Percentage of women in Female 5.12 class-II government service Male 6. Social protection and continued vulnerabilities Percentage of female / 6.01 Upper male headed households Lower below poverty lines with housing facilities Spousal violence against Sexual 6.02 ever married women of age Any form of 15-54 (%) physical/ sexual both Proportion of female/male Female 6.03 headed with HH housing Male facilities Household under safety net Female 6.04 program by sex of hh Male Violence against women 6.05 Raped (No) Acid through Seriously injured Others Cases 6.06 Anti-trafficking measure instituted Cases Disposed Cases pending 5.05 Year 1999 Value 8.5 91.5 2005 9.6 90.4 Current Year Year Value 2008 18.0 82.0 Target Year 2015 - Source 2007 - MOE 30.9 69.1 31.6 69.4 HIES 2007 18.1 81.9 BBS 2008 9.4 90.6 15.6 84.4 8.4 91.6 2007 2007 2006 2005 2000 3702 214 1079 11346 2007 2001 125 17 108 2005 143 11.6 88.4 MOE BBS - Bar council MOE MOE 86.2 72.3 2006 2006 2006 9.4 60.0 75.0 DHS 2009 0.14 WMS BBS 2005 2005 3345 147 676 9084 30.6 69.4 164 109 55 SL No. 6.07 6.08 Indicator Sex/upperlower Safety net program beneficiary (%) Women participation in HH decision making PESP VGD DGF FFW Old Age Widowed/Div orced Retarded/ disable FSS Gratuity & test relief FF-RMP Wife Husband Jointly Base Current Year 2007 Target Year 2015 Source 18.9 15.7 15.5 9.0 16.9 9.1 10.4 2.1 1.3 2005 5.8 42.3 37.2 2009 0.9 9.3 29.8 60.9 BBS 12.02 Differentials of Selected Indicators Among SAARC Countries. The following table provides the latest statistics and indicators on women and men in specific fields of concern: population, health, education, labour force, economic activities, employment and participation of women in parliament for decision making. The statistics and indicators refer to the latest year for which sex disaggregated data are available. The data have been compiled from United Nations Statistics Division’s web site http://www.un.org/esa/popuation/unpop.htm . Table 12.02.01:Estimated population among SAARC countries, 2011 Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Srilnka Population (in thousand) Women Men Total 15618 74792 347 600477 159 15365 86937 10662 16740 74980 391 641015 161 15121 89808 10383 32358 149772 738 1241492 320 30486 176745 21045 Sex ratio Women/100 Men 93 98 89 94 98 102 97 103 Urban population (%) 22.9 28.6 35.5 30.3 41.3 19.2 36.2 14.3 Annual growth rate (%) 3.1 1.3 1.5 1.3 1.3 1.7 1.8 0.8 Table 12.02.02:Composition of population among SAARC countries, 2011 Country Percentage of population 60+ years Women 4 7 7 8 7 7 6 13 < 15 years Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Srilnka 36 31 29 30 26 35 35 25 144 Men 4 6 7 7 7 6 7 12 Table 12.02.03: Differentials in expectation of life at birth (ex0) among SAARC countries, 2007 and 2011 Country 2007 Women 43.5 67.9 67.6 64.9 72.7 66.9 66.5 77.9 Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka 2011 Men 43.6 65.4 64.0 62.0 69.7 65.6 65.9 70.3 Women 45.3 71.7 68.2 68.0 76.8 67.4 67.9 79.4 Men 44.8 67.9 66.5 65.8 72.2 64.9 64.2 72.2 Table 12.02.04: Legal age and singulate mean age at marriage among SAARC countries Country Minimum legal age for Singulate mean age at marriage marriage Women Men Year Women Men Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka 16 18 18 18 18 20 16 18 18 21 18 21 18 20 18 18 1979 2006 2005 2005 2006 2006 2006 2001 18 19 22 20 23 19 23 24 25 26 25 26 22 28 Table 12.02.05: Differentials in adults (15+) and youth (15‐24 years) literacy rate among SAARC countries 2009 Country Adult (15+ ) Youth (15-24) Women Men Women Men Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka 51 39 51 98 47 40 89 61 65 75 98 72 69 92 145 77 68 74 99 77 61 99 74 80 88 99 87 79 97 Table 12.02.06: Differentials in estimated earned income in U$ by gender among SAARC countries, 2007 Country 2007 Women 442 830 2636 1304 3597 794 760 3064 Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Men 1845 1633 6817 4102 6714 1309 4135 5460 Table 12.02.07: Maternal mortality ratio, infant and under 5 mortality rate among SAARC countries, 2008 Country CBR CDR MMR IMR Under 5 mrtality rate Afghanistan 46.5 19.6 1400 125 184 Bangladesh 21.4 6.6 340 42 51 Bhutan 21.5 7.1 200 38 52 India 22.8 8.4 230 48 65 Maldives 18.7 4.6 37 8 12 Nepal 25.4 6.4 380 32 39 Pakistan 30.1 6.9 260 66 86 Sri Lanka 18.2 6.4 39 11 13 Table 12.02.08: Contraceptive prevalence rate of currently married women (15-49 years) Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Year Contraceptive prevalence rate Any method Modern method 2007/08 2007 2007 2005/06 2009 2006 2007/08 2006/07 23 56 56 35 48 27 68 146 15 48 35 49 27 44 19 53 Table 12.02.09: Adolescent fertility and total fertility rate, 2010 Year Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Adolescent fertility rate 99.6 68.2 44.9 74.7 10.2 86.2 28.1 22.1 2010-2015 2010-2015 2010-2015 2010-2015 2010-2015 2010-2015 2010-2015 2010-2015 Total fertility rate 5.97 2.16 2.26 2.54 1.67 2.59 3.20 2.24 Table 12.02.10: Net enrolment ratio in primary education 2009‐10 Country Net enrolment ratio in primary education Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Year … 2009 2009 2007 2011 2000 2010 2009 Note :National estimation. Girls … 97 89 89 96 64 67 94 Boys … 88 87 92 96 78 81 93 Girls' share of primary enrolment Year % 2010 39 2009 50 2009 50 2007 47 2011 48 2011 50 2010 44 2009 49 b=> UIS estimation. c=> Policy change: Introduction of free universal primary education. Table 12.02.11: Net enrolment ratio in secondary education Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Net enrolment ratio in secondary education Year Girls Boys 2007 a 2009 2009 … 2002 a … 2010 … 13 48 48 … 52 … 29 … Note: a=>UIS estimation 147 34 44 45 … 46 … 38 … Girls' share of secondary enrolment Year % 2010 2009 2009 2008 2006 a 2008 2010 2004 a 32 51 49 45 50 47 42 49 Table 12.02.12: Net enrolment ratio in tertiary education Tertiary gross enrolment ratio Women's share of tertiary enrolment Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Year 2009 2009 2008 2009 2004 2004 2008 Women 1 8 5 13 3 5 Men 5 13 8 19 8 6 Year 2009 2009 2008 2009 2004 2010 2008 % 18 37 35 39 70 41 45 a=> UIS Estimation. b=> National Estimation. Table 12.02.13: Percentage of female teacher in primary, secondary and tertiary education Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Female teachers, Primary education Year % 2010 2009 2009 2004 2011 2011 2010 2009 31 43 35 44 73 42 48 85 Female teachers, Secondary education Year 2007 2009 2009 2004 2003 2008 2004 2004 % 28 20 49 34 35 15 51 63 Female teachers, Tertiary education Year % 2009 2009 2000 2004 2003 … 2008 … 16 20 27 40 67 … 37 … a=> UIS Estimation b=> National Estimation Table 12.02.14: Adult economic activity rates and percentage of women in adult labour force, 2010 Adult (15+) economic activity Women in adult labor rate force Country Women Men % Afghanistan 16 80 15 Bangladesh 57 84 40 Bhutan 66 76 42 India 29 81 25 Maldives 55 76 42 Nepal 80 88 49 Pakistan 22 83 21 Sri Lanka 35 76 32 148 Table 12.02.15: Distribution of labour force by status in employment Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Year 2005 2009 2005 2006 2001 2008 2009 Percentage employees Percentage employers Percentage ownaccount workers Percentage contributing family workers Wome n Men Wom en Men Women Men Women Men Source 11.7 14.3 11.5 45.0 12.8 22.1 54.9 14.5 36.0 17.6 61.1 33.7 39.5 59.0 0.1 0.2 0.7 1.1 3.7 0.0 0.9 0.3 0.3 1.7 4.8 3.9 1.2 3.6 26.4 23.3 52.1 24.1 70.6 12.8 22.0 74.8 21.7 67.6 11.6 56.7 39.6 33.0 60.1 62.2 35.7 22.9 12.9 65.0 22.3 9.7 42.1 13.1 7.9 5.7 19.7 4.5 HS LFS HS PC PC HS LFS - not available LFS: Labour Force Survey PC: Population Census HS : Household or Labour Force Survey Table 12.02.16: Unemployment rate of adult population aged 15+ Country Year Adult (15+) unemployment rate Men Women Source Afghanistan 2005 7.6 9.5 HS Bangladesh 2009 4.2 7.4 LFS Bhutan 2009 2.6 5.3 LFS India 2005 4.1 5.1 HS Maldives 2006 7.9 23.8 PC Nepal 2008 3.1 2.4 LFS Pakistan 2008 4.0 8.7 HS Sri Lanka 2010 3.5 7.7 LFS Table 12.02.17: Women in parliament Country Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Note: Percentage of parliamentary seats in Single or Lower chamber occupied by women 2000 2005 2007 2008 2009 2010 2011 ... ... 27 28 28 28 28 9 2 15 ... 19 19 19 2 9 3 9 9 9 9 9 8 8 9 11 11 11 6 12 12 12 7 7 7 6 6 17 33 33 33 33 ... 21 21 23 23 22 22 5 5 5 6 6 5 6 All the above SAARC data are collected from United Nations Statistics Division’s http://www.un.org/esa/popuation/unpop.htm; Source : Human Development Report, 2009 149 150 REFERENCES BBS BBS BBS BANBEIS GED BBS Report on Vital Registration System, BBS Report on Labour Force Survey, BBS, 2010 Statistical Pocket Book Bangladesh, 2010 Bangladesh Education Statistics, BANBEIS, 2010 6th Five Year Plan, ( FY2011-FY 2015), Planning Commission Wage Rate and Earnings of Non-Farm Workers, April, 2011 BDHS Bangladesh Demographic and Health Survey ICDDRB Maternal Mortality and Health Care Survey 2010 BBS Multiple Indicator Cluster Survey 2009 BBS Report of the Household Income & Expenditure Survey 2010 BBS Gender Statistics of Bangladesh 2008 BBS Wage Rate of Working Poor in Bangladesh, 2009-10 MOPA Statistics of Civil Officers and Staff-2010, MOPA WCA Gender Equity and Equality, M/O Women and Children Affairs BBS Population Census -2001, National Series, Volume -1 Analytical Report. CMNS Child and Mother Nutrition Survey CEDAW Convention on the Elimination of all forms of Discrimination Against Women UNICEF Developing General Statistics: A practical Tool BBS Report of the Household Income & Expenditure Survey 2005 BBS Report on Vital Registration System, 2007 BSS Multiple Indicator Survey 2006 DPE Report on Primary School Census 2009, M/O Primary and Mass Education BDHS Bangladesh Demographic and Health Survey, NIPORT, 2011 BBS Prevalence of Smoking in Bangladesh, 1995 UNICEF Bangladesh Household Food Security and Nutrition Assessment Report 2009 BBS Statistical Yearbook of Bangladesh, Ministry of Planning, 2010 BBS Report on the Bangladesh Literacy Survey 2010 Institutional Approach to Combat Violence against Women in Bangladesh Multi-Sectorial Program on Violence against Women 151 152 Annexure‐A Constitutional Provision on Women Rights Article 10: Participation of women in national life. Steps shall be taken to ensure participation of women in all spheres of national life. Article 17: Free and compulsory education. The State shall adopt effective measures for the purpose of(a) Establishing a uniform, mass-oriented and universal system of education and extending free and compulsory education to all children to such stage as may be determined by law. (b) Relating education to the needs of society and producing properly trained and motivated citizens to serve those needs. (c) Removing illiteracy within such time as my be determined by law. Article 18: Public health and morality. (01) The State shall regard the raising of the level of nutrition and the improvement of public health as among its primary duties, and in particular shall adopt effective measures to prevent the consumption, except for medical purposes or for such other purposes as may be prescribed by law, of alcoholic and other intoxicating drinks and of drugs which are injurious to health. (02) The State shall adopt effective measures to prevent prostitution and gambling. Article 19: Equality of opportunity. (01) The State shall endeavor to ensure equality of opportunity to all citizens. Article 27: Equality before law. All citizens are equal before law and are entitled to equal protection of law. 153 Article 28: Discrimination on grounds of religion, etc. (01) The State shall not discriminate against any citizen on grounds only of religion, race, caste, sex or place of birth. (02) Women shall have equal rights with men in all spheres of the State and of public life. (03) No citizen shall, on grounds only of religion, race, caste, sex or place of birth be subjected to any disability, liability, restriction or condition with regard to access to any place of public entertainment or resort, or admission to any educational institution. (04) Nothing in this article shall prevent the State from making special provision in favour of women or children or for the advancement of any backward section of citizens. Article 29: Equality of opportunity in public employment. (1) There shall be equality of opportunity for all citizen in respect of employment or office in the service of the Republic. (2) No citizen shall, on grounds only of religion, race, caste, sex or place of birth, be ineligible for, or discriminated against in respect of, any employment or office in the service of the Republic. (3) Nothing in this article shall prevent the state from(a) Making special provision in favour of any backward section of citizen for the purpose of securing their adequate representation in the service of the Republic. (b) Giving effect to any law which makes provision for reserving appointments relating to any religious or denominational institution to persons of that religion or denomination. (c) Reserving for members of one sex any class of employment or office on the ground that it is considered by its nature to be unsuited to members of the opposite sex. 154 Annexure‐B Convention on the Elimination of All forms of Discrimination against Women (CEDAW) The States parties to the present convention, Nothing that the Charter of the United Nations reaffirms faith in fundamental human rights, in the dignity and worth of the human person and in the equal rights of men and women, Nothing that the Universal Declaration of Human Rights affirms the principle of the inadmissibility of discrimination and proclaims that all human beings are born free and equal in dignity and rights and that everyone is entitled to all the rights and freedoms set forth therein, without distinction of any kind, including distinction based on sex, Nothing that the States parties to the International covenants on Human Rights have the obligation to ensure the equal rights of men and women to enjoy all economic, social, cultural, civil and political rights, Considering the international conventions concluded under the auspices of the United Nations and the specialized agencies promoting equality of rights of men and women, Nothing also the resolutions, declarations and recommendations adopted by the United Nations and the specialized agencies promoting equality of rights of men and women, Concerned, however, that despite these various instruments extensive discrimination against women continues to exist, Recalling that discrimination against women violates the principles of equality of rights and respect for human dignity, is an obstacle to the participation of women. on equal terms with men, in the political, social, economic and life of their countries, hampers the growth of the prosperity of society and family and makes more difficult the full development of the potentialities of women in the service of their countries and humanity, Concerned that in situations of poverty women has the least access to food, health, education, training and opportunities for employment and other needs, Convinced that the establishment of the new international economic order based on equity and justice will contribute significantly towards the promotion of equality between men and women, Emphasizing that the eradication of apartheid, all forms of racism, racial discrimination, colonialism, neo-colonialism, aggression, foreign occupation and domination, and interference in the internal affairs of States is essential to the enjoyment of the rights of men and women, 155 Affirming that the strengthening of international peace and security, the relaxation of international tension, mutual co-operation among all States irrespective of their social and economic system, general and complete disarmament, in particular nuclear disarmament under strict and effective international control, the affirmation of the principles of justice, equality and mutual benefit in relations among countries and the realization of the right of peoples under alien and colonial domination and foreign occupation to self-determination and independence, as well as respect for national sovereignty and territorial integrity, will promote social progress and development and as a consequence will contribute to the attainment of full equality between men and women, Convinced that the full and complete development of a country, the welfare of the world and the cause of peace require the maximum participation of women on equal terms with men in all fields, Bearing in main the great contribution of women to the welfare of the family and to the development of society, so far not fully recognized, the social significance of maternity and the role of both parents in the family and in the upbringing of children and aware that the role of women in procreation should not be a basis for discrimination but that the upbringing of children requires a sharing of responsibility between men and women society as a whole, Aware that a change in the traditional role of men as well as the role of women in society and in the family is needed to achieve full equality between men and women, Determined to implement the principles set forth in the Declaration on the Elimination of Discrimination against Women and, for that purpose, to adopt the measures required for the elimination of such discrimination in all its forms and manifestations, Have agreed on the following: PART : I Article 1: For the purposes of the present Convention, the term “discrimination against women’’ shall mean any distinction, exclusion or restriction made on the basis of sex which has the effect or purpose of impairing or nullifying the recognition, enjoyment or exercise by women, irrespective of their marital status, on a basis of equality of men and women, of human rights and fundamental freedoms in the political, economic, social, cultural, civil or any other field. 156 Article 2: States Parties condemn discrimination against women in all its forms, agree to pursue by all appropriate means and without delay a policy of eliminating discrimination against women and, to this end, undertake: (a) To embody the principle of the equality of men and women in their national constitutions or other appropriate legislation if not yet incorporated therein and to ensure, through law and other appropriate means, the practical realization of this principle; (b) To adopt appropriate legislative and other measures, including sanctions where appropriate, prohibiting all discrimination against women; (c) To establish legal protection of the rights of women on an equal basis with men and ensure through competent national tribunals and other public institutions the effective protection of women against any act of discrimination; (d) To refrain from engaging in any act or practice of discrimination against women and to ensure that public authorities and institutions shall act in conformity with this obligation; (e) To take all appropriate measures to eliminate discrimination against women by any person, organization or enterprise; (f) To take all appropriate measures, including legislation, to modify or abolish existing laws, regulations, customs and practices which constitute discrimination against women; (g) To repeal all national penal provisions which constitute discrimination against women. Article 3: States Parties shall take in all fields, in particular in the political, social, economic and cultural fields, all appropriate measures, including legislation, to ensure the full development and advancement of women, for the purpose of guaranteeing them the exercise and enjoyment of human rights and fundamental freedoms on a basis of equality with men. Article 4: 1. Adoption by states parities of temporary special measures aimed at accelerating de facto equality between men and women shall not be considered discrimination as defined in the present Convention, but shall in no way entail as a consequence the maintenance of unequal or separate standards; these measures shall be discontinued when the objectives of equality of opportunity and treatment have been achieved. 2. Adoption by States Parities of special measures, including those measures contained in the present Convention, aimed at protecting maternity shall not be considered discriminatory. 157 Article 5: States Parities shall take all appropriate measures: (a) To modify the social and cultural patterns of conduct of men and women, with a view to achieving the elimination of prejudices and customary and all other practices which are based on the idea of the inferiority or the superiority of either of the sexes or on stereotyped roles for men and women ; (b) To ensure that family education includes a proper understanding of maternity as a social function and the recognition of the common responsibility of men and women in the upbringing and development of their children, it being understood that the interest of the children is the primordial consideration in all cases. Article 6: States Parties shall take all appropriate measures, including legislation, to suppress all forms of traffic in women and exploitation of prostitution of women. PART : II Article 7: States Parties shall take all appropriate measures to eliminate discrimination against women in the political and public life of the country and, in particular, shall ensure to women, on equal terms with men, the right: (a) To vote in all elections and public referenda and to be eligible for election to all publicly elected bodies; (b) To participate in the formulation of government policy and the implementation thereof and to hold public office and perform all public functions at all levels of government; (c) To participate in non-governmental organizations and associations concerned with the public and political life of the country. Article 8: States Parties shall take all appropriate measures to ensure to women, on equal terms with men and without any discrimination, the opportunity to represent their Governments at the international level and to participate in the work of international organizations. Article 9: 1. States Parties shall grant women equal rights with men to acquire, change or retain their nationality. They shall ensure in particular that neither marriage to an alien nor change of 158 nationality by the husband during marriage shall automatically change the nationality of the wife, render her stateless or force upon her the nationality of the husband. 2. States Parties shall grant women equal rights with men with respect to the nationality of their children. PART : III Article 10: States Parties shall take all appropriate measures to eliminate discrimination against women in order to ensure to them equal rights with men in the field of education and in particular to ensure, on a basis of equality of men and women: (a) The same conditions for career and vocational guidance, for access to studies and for the achievement of diplomas in educational establishments of all categories in rural as well as in urban areas; this equality shall be ensured in pre-school, general, technical, professional and higher technical education, as well as in all types of vocational training; (b) Access to the same curricula, the same examinations, teaching staff with qualifications of the same standard and school premises and equipment of the same quality; (c) The elimination of any stereotyped concept of the roles of men and women at all levels and in all forms of education by encouraging coeducation and other types of education which will help to achieve this aim and, in particular, by the revision of textbooks and school programs and the adaptation of teaching methods; (d) The same opportunities to benefit from scholarships and other study grants; (e) The same opportunities for access to programs of continuing education, including adult and functional literacy program, particularly those aimed at reducing, at the earliest possible time, any gap in education existing between men and women; (f) The reduction of female student drop-out rates and the organization of programs for girls and women who have left school prematurely; (g) The same opportunities to participates actively in sports and physical education; (h) Access to specific educational information to help to ensure the health and well-being of families, including information and advice on family planning. 159 Article 11: 1. States Parties shall take all appropriate measures to eliminate discrimination against women in the field of employment in order to ensure, on a basis of equality of men and women, the same rights, in particular: (a) The right of work as an inalienable right of all human beings; (b) The right to the same employment opportunities, including the application of the same criteria for selection in matters of employment; (c) The right to free choice of profession and employment, the right to promotion, job security and all benefits and conditions of service and the right to receive vocational training and retraining, including apprenticeships, advanced vocational training and recurrent training; (d) The right to equal remuneration, including benefits, and to equal treatment in respect of work of equal value, as well as equality of treatment in the evaluation of the quality of work; (e) The right to social security, particularly in cases of retirement, unemployment, sickness, invalidity and old age and other incapacity to work, as well as the right to paid leave; (f) The right to protection of health and to safety in working conditions, including the safeguarding of the function of reproduction. 2. In order to prevent discrimination against women on the grounds of marriage of maternity and to ensure their effective right to work, States Parties shall take appropriate measures: (a) To prohibit, subject to the imposition of sanctions, dismissal on the grounds of pregnancy or of maternity leave and discrimination in dismissals on the basis of marital status; (b) To introduce maternity leave with pay or with comparable social benefits without loss of former employment, seniority or social allowances; (c) To encourage the provision of the necessary supporting social services to enable parents to combine family obligations with work responsibilities and participation in public life, in particular through promoting the establishment and development of a network of child-care facilities; (d) To provide special protection to women during pregnancy in types of work proved to be harmful to them. 160 3. Protective legislation relating to matters covered in this article shall be reviewed periodically in the light of scientific and technological knowledge and shall be revised, repealed or extended as necessary. Article 12: 1. States Parties shall take all appropriate measures to eliminate discrimination against women in the field of health care in order to ensure, in a basis of equality of men and women, access to health care services, including those related to family planning. 2. Notwithstanding the provisions of paragraph 1 of this article, States Parties shall ensure to women appropriate services in connection with pregnancy, confinement and the post-natal period, granting free services where necessary, as well as adequate nutrition during pregnancy and lactation. Article 13: States Parties shall take all appropriate measures to eliminate discrimination against women in other areas of economic and social life in order to ensure, on a basis of equality of men and women, the same rights, in particulars: (a) Right to family benefits; (b) The right to bank loans, mortgages and other forms of financial credit; (c) The right to participate in recreational activities, sports and all aspects of cultural life. Article 14: 1. States Parties shall take into account the particular problems faced by rural women and the significant roles which rural women [lay in the economic survival of their families, including their work in the non-monetizes sectors of the economy, and shall take all appropriate measures to ensure the application of the provisions of the present Convention to women in rural areas 2. States Parties shall take all appropriate measures to eliminate discrimination against women in rural areas in order to ensure, on a basis of equality of men and women that they participate in and benefit from rural development and , in particular, shall ensure to such women the right: (a) To participate in the elaboration and implementation of development planning at all levels; 161 (b) To have access to adequate health care facilities, including information, counseling and services in family planning; (d) To obtain all types of training and education, formal and non-formal, including that relating to functional literacy , as well as, inter alias, the benefit of all community and extension services, in order to increase their technical proficiency; (e) To organize self-help groups and co-operatives in order to obtain equal access to economic opportunities through employment or self employment ; (f) To participate in all community activities; (g) To have access to agricultural credit and loans, marketing facilities, appropriate technology and equal treatment in land and agrarian reform as well as in land resettlement schemes; (h) To enjoy adequate living conditions, particularly in relation to housing, sanitation, electricity and water supply, transport and communications. PART IV Article 15: 1. States Parties shall accord to women equality with men before the law. 2. States Parties shall accord to women, in civil matters, a legal capacity identical to that of men and the same opportunities to exercise that capacity. In particular, they shall give women equal rights to conclude contracts and to administer property and shell treat them equally in all stages of procedure in courts and tribunals. 3. States Parties agree that all contracts and all other private instruments of any kind with a legal effect which is directed at restricting the legal capacity of women shall be deemed null and void. 4. States Parties shall accord to men and women the same rights with regard to the law relating to the movement of persons and the freedom to choose their residence and domicile. Article 16: 1. States Parties shall take all appropriate measures to eliminate discrimination against women in all matters relating to marriage and family relations and in particular shall ensure, on a basis of equality of men and women: (a) The same right to enter into marriage : 162 (b) The same right freely to choose a spouse and to enter marriage only with their free and full consent; (c) The same rights and responsibilities during marriage and at its dissolution; (d) The same rights and responsibilities as parents, irrespective of their marital status, in matters relating to their children; in all cases the interests of the children shall be paramount; (e) The same rights to decide freely and responsibly on the number and spacing of their children and to have access to the information, education and means to enable them to exercise these rights; (f) The same rights and responsibilities with regard to guardianship, ward ship, trusteeship and adoption of children, or similar institutions where these concepts exist in national legislation; in all cases the interests of the children shall be paramount; (g) The same personal rights as husband and wife, including the right to choose a family name, a profession and an occupation; (h) The same rights for both spouses in respect of the ownership, acquisition, management, administration, enjoyment and disposition of property, whether free of charge or for a valuable consideration. 2. The betrothal and the marriage of a child shall have no legal effect, and all necessary action, including legislation, shall be taken to specify a minimum age for marriage and to make the registration of marriages in an official registry compulsory. PART V Article 17: 1. For the purpose of considering the progress made in the implementation of the present Convention, there shall be established a Committee on the Elimination of Discrimination against women (hereinafter referred to as the Committee) consisting, at the time of entry into force of the Convention, of eighteen and, after ratification of or accession to the Convention by the thirty-fifth State Party, of twenty-three experts of high moral standing and competence in the field covered by the Convention. The experts shall be elected by States Parties from among their nationals and shall serve in their personal capacity, consideration being given to equitable geographical distribution and to the representation of the different forms of civilization as well as the principal legal systems. 163 2. The members of the Committee shall be elected by secret ballot from a list of persons nominated by States Parties. Each State Party may nominate one person from among its own nationals. 3. The initial election shall be held sis months after the date of the entry into force of the persent Convention. At least three months before the date of each election the Secretary-General of the United Nations shall address a letter to the States Parties inviting them to submit their nominations within two months. The Secretary-General shall prepare a list in alphabetical order of all persons thus nominated, indicating the States Parties. 4. Elections of the members of the Committee shall be held at a meeting of States Parties convened by the Secretary-General at United Nations Headquarters. At that meeting, for which two thirds of the States Parties shall constitute a quorum, the persons elected to the Committee shall be those nominees who obtain the largest number of votes and an absolute majority of the votes of the representatives of States Parties present and voting. 5. The members of the Committee shall be elected for a term of four years. However, the terms of nine of the members elected at the first election shall expire at the end of two years: immediately after the first election the names of these nine members shall be chosen by lot by the Chairman of the Committee. 6. The election of the five additional member of the Committee shall be held in accordance with the provisions of paragraphs 2, 3 and 4 of this article, following the thirty-fifth ratification or accession. The terms of two of the additional members elected on this occasion shall expire at the end of two years, the names of these two members having been chosen by lot by the Chairman of the Committee. 7. For the filling of casual vacancies, the State Party whose expert has ceased to function as a member of the Committee shall appoint another expert from among its nationals, subject to the approval of the Committee. 8. The members of the Committee shall, with the approval of the General Assembly, receive emoluments from United Nations resources on such terms and conditions as the Assembly may decide, having regard to the importance of the Committee’s responsibilities 9. The Secretary-General of the United Nations shall provide the necessary staff and facilities for the effective performance of the functions of the Committee under the present Convention 164 Article 18: 1. States Parties undertake to submit to the Secretary-General of the United Nations, for consideration by the Committee, a report on the legislative, judicial, administrative or other measures which they have adopted to give effect to the provisions of the present Convention and on the progress made in this respect: (a) Within one year after the entry into force for the State concerned; (b) Thereafter at least every four years and further whenever the Committee so requests. 2. Reports may indicate factors and difficulties affection the degree of fulfillment of obligations under the present Convention. Article 19: 1. 2. The Committee shall adopt its own rules of procedure. The Committee shall elect its officers for a term of two years. Article 20: 1. 2. The Committee shall normally meet for a period of not more than two weeks annually in order to consider the reports submitted in accordance with article 18 of the present Convention. The meetings of the Committee shall normally be held at united Nations Headquarters or at any other convenient place as determined by the Committee (amendment, status of ratification). Article 21: 1. The Committee shall, through the Economic and Social Council, report annually to the General Assembly of the United Nations on its activities and may make suggestions and genera recommendations based on the examination of reports and information received from the States Parties. Such suggestions and general recommendations shall be included in the report of the Committee together with comments, if any, from States Parties. 2. The Secretary-General of the United Nations shall transmit the reports of the Committee to the Commission on the Status of Women for its information. Article 22: The specialized agencies shall be entitled to be represented at the consideration of the implementation of such provisions of the present Convention as fall within the scope of their activities. The Committee may invite the specialized agencies to submit reports on the implementation of the Convention in areas falling within the scope of their activities. 165 PART VI Article 23: Nothing in the present Convention shall affect any provisions that are more conducive to the achievement of equality between men and women which may be contained: (a) In the legislation of a State Party; or (b) In any other international convention, treaty or agreement in force for that State. Article 24: States Parties undertake to adopt all necessary measures at the national level aimed at achieving the full realization of the rights recognized in the present Convention. Article 25: 1. The present Convention shall be open for signature by all States. 2. The Secretary-General of the United Nations is designated as the depositary of the present Convention. 3. The present Convention is subject to ratification. Instruments of ratification shall be deposited with the Secretary-General of the United Nations. 4. The present Convention shall be open to accession by all States. Accession shall be effected by the deposit of an instrument of accession with the Secretary-General of the United Nations. Article 26: 1. A request for the revision of the present Convention may be made at any time by any State Party by means of a notification in writing addressed to the Secretary-General of the United Nations. 2. The General Assembly of the United Nations shall decide upon the steps, if any, to be taken in respect of such a request. Article 27: 1. The present Convention shall enter into force on the thirtieth day after the date of deposit with the Secretary-General of the United Nations of the twentieth instrument of ratification or accession. 2. For each State ratifying the present Convention or acceding to it after the deposit of the twentieth instrument of ratification or accession, the Convention shall enter into force on the thirtieth day after the date of the deposit of its own instrument of ratification or accession. Article 28: 1. The Secretary-General of the United Nations shall receive and circulate to all States the text of reservations made by States at the time of ratifications or accession. 166 2. A reservation incompatible with the object and purpose of the present Convention shall not be permitted. 3. Reservations may be withdrawn at any time by notification to this effect addressed to the Secretary-General of the United Nations, who shall then inform all States thereof. Such notification shall take effect on the date on which it is received. Article 29: 1. Any dispute between two or more States Parties concerning the interpretation or application of the present Convention which in not settled by negotiation shall, at the request of one of them, be submitted to arbitration. If within six months from the date of the request for arbitration the parties are unable to agree on the organization of the arbitration any one of those parties any refer the dispute to the international Court of Justice by request in conformity with the Statute of the court. 2. Each State Party may at the time of ratification of the present Convention or accession thereto declare that it does not consider itself bound by paragraph 1 of this article. The other States Parties shall not be bounded by that paragraph with respect to any State Party which has made such a reservation. 3. Any State Party which has made a reservation in accordance with paragraph 2 of this article may at any time withdraw that reservation by notification to the Secretary-General of the United Nations. Article 30: The present Convention, the Arabic, Chinese, English, French, Russian and Spanish texts of which are equally authentic, shall be deposited with the Secretary-General of the United Nations. IN WITNESS WHEREOF the undersigned, duly authorized, have signed the present Convention. 167 168 Annexure‐C The Dhaka Declaration for Eliminating Violence against Women in South Asia 2003 We parliamentarians from Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka and Iran, meeting in Dhaka, Bangladesh, on the 18-19 March 2003, at the Regional Workshop on Parliamentary Advocacy for the Prevention of Violence Against Women in South Asia, issue the following Declaration. We recognize, and accept, our crucial role, both individually and collectively, as the bridge between people and government as advocates for the rights and concerns of the people, as legislators to make laws to protect these rights and mobilise the policies and resources required to create the enabling environment for this purpose. Noting that our Governments have considered endorsing or have endorsed/ signed/ ratified the following international instruments. • • • • • • • • • • • The Universal Declaration of Human Rights (1948) The International Convenant on Civil and Political Rights (1966) The International Convenant on Economic, Social Cultural Rights (1966) The United Nations Convention on the Elimination of all forms of Discrimination Against Women (1779) ; (CEDAW) The Convention on the Rights of the Child (1993); The Declaration on Violence Against Women (1993); The Vienna Declaration and the Program of Action of the World Conference on Human Rights (1993) The Program of Action of the International Conference on Population and Development (ICPD), Cairo, Egypt (1994) Platform for Action and the Beijing Declaration (1995) The Rome Statute of the International Criminal Court (1998) South Asia Association for Regional Cooperation (SAARC) Convention on Preventing and Combating the Trafficking in Women, (2002) We further recognize the following 1. On the basis of the Universal Declaration of Human Rights, the Convention on the Elimination of all forms of Discrimination Against Women, and The Convention on the Rights of the Child, any form of violence against women which can be construed as a threat to their life, liberty or security of person or which constitutes torture or cruel, inhuman or degrading treatment in fringes the fundamental human rights our countries have recognized under international law and in our constitutions. 2. Violence against women and girls taking place within the family, community, at the work – place or in society which includes, inter alias, ill-treatment, battering, incest sexual harassment sexual abuse, custodial violence, trafficking in women and rape, is a violation of the right to life, safety, liberty, dignity and physical and mental integrity of the victim and therefore an obstacle to the development of a democratic society. 169 3. Violence against women in general takes various forms and is unquestionably linked to discrimination against women and power relation-ships between the sexes in the social, economic cultural and political spheres and in misinterpretation of religious doctrine, in our countries and in the family and community. 4. That domestic violence against women in the South Asian region is widespread and persistent and that insufficient legal instruments and inadequate implementation of the laws that exist results in women suffering violence in the family. 5. The majority of cases of abuse are not reported to the police/courts, mainly due to the belief that it is a private matter and the task of proper enforcement of laws and the absence of social and economic support to protect women, with the result that violence against women remains a largely hidden crime. 6. That all forms of gender-based violence falling within the scope of the CEDAW definition and CRC should be considered criminal offences and States parties to the Conventions are also specifically obliged to act against private persons, companies and organizations committing violence against women. 7. That adequate statistics and research on violence against women are not available in most of our countries. 8. There is still a low level of awareness of the specific needs of women subjected to violence among service providers and law enforcement agencies, including in police, social workers, educators, lawyers, judges, legislators, public servants and agencies. 9. Rape is a serious infringement of human rights and is used in war and armed conflict and is defined as a crime against humanity by the Rome Statute that established the International Criminal Court. 10. Violence against women in the home and in our societies directly and indirectly affects children and can often create a cycle of violence and abuse that is perpetuated through generations in families communities and our societies and violence against women has long-lasting negative impacts on children. Call to action We parliamentarians here in Dhaka commit ourselves and call on Parliamentary colleagues, Governments and peoples of participating countries to strive for primary prevention of violence against women by empowering women through access to education, laws, policies and programs including income generation and poverty reduction so as to enhance the role and status of women in their communities; We commit ourselves to giving priority to the following actions Raising public awareness on women’s human rights and violence against women as a basic aspect of development, peace and progress. We will strive to promote the creation of a non-violent culture through education and sensitisation strategies targeting men and women, especially through the mass media and the education sector, as fundamental tools to prevent intergenerational and social violence; We will encourage programs for schools aimed at enhancing awareness among boys and girls of the effects of gender based violence and developing collaborative means of resolving conflicts in order to counteract attitudes and behavior which tend inter alia to regard women’s bodies as commodities and inevitably leads to violence; We call upon our Heads of State / Governments to use the South Asia Association for Regional Co-operation to designate a particular year as the South Asian Year of Eliminating Violence Against Women. Enact and enforce legislation We will take necessary legal measures to enact and monitor the enforcement of legislation impacting on violence against women. 170 We will support programs to integrate health ser-vices and investigation procedures including programs on legal aid so as to encourage women and girls subject to violence to report to the authorities and women’s organizations or appropriate in-situations to take legal action in defense of women who suffer violence; We will ensure that resources are allocated and separately identified for law enforcement. We will support the formation of parliamentary committees which will identify the gaps in relevant laws, support law reform and monitor the enforcement of laws on violence against women. Strengthening support services for victims of violence We will actively support resource allocation and funding for independent services for the survivors of violence, including one stop safe havens and shelters and gender sensitisation training of law enforcement agencies and all health personnel. Strengthening research and information sharing We will actively encourage the collection of statistics on violence against women, We will promote nationally and regionally, the sharing of research results and statistics as well as information on best practices and innovative measures taken in combating VAW. Regional cooperation Together we will work towards combating trafficking of girls and women in the South Asian region which often resulting in forced prostitution; to set up special programs and to introduce specific measures to support those persons who are the victims of enforced sexual exploitation; We will ensure that special attention is paid to the position of migrant women and HIV positive women who are the victims of gender violence; We will share information and best practices within the region on laws including region laws, and policies and programs to combat violence against women and develop a process in monitoring the situation in our countries in meeting our constitutional commitments and responsibilities as state parties to CEDAW and CRe. Pledge We parliamentarians pledge, as public advocates, opinion leaders, legislators and policy initiators to carry out these actions and to systematically and actively monitor the progress . we make in doing so. 171 172 Annexure‐D Beijing Declaration and the Platform for Action (PEA) Fourth World Conference on Women, Beijing, China 4-15 September 1995 Beijing Declaration 1. We, the Governments participating in the Fourth World Conference on Women, 2. Gathered here in Beijing in September 1995, the year of the fiftieth anniversary of the founding of the United Nations, 3. Determined to advance the goals of equality, development and peace for all women everywhere in the interest of all humanity, 4. Acknowledging the voices of all women everywhere and taking note of the diversity of women and their roles and circumstances, honoring the women who paved the way and inspired the hope present in the world’s youth, 5. Recognize that the status of women has advanced in some important respects in the past decade but that progress has been uneven, inequalities between women and men have persisted and major obstacles remain, with serious consequences for the well- being of all people, 6. Also recognize that this situation is exacerbated by the increasing poverty that is affecting the lives of the majority of the world’s people, in particular women and children, with origins in both the national and international domains, 7. Dedicate ourselves unreservedly to addressing these constraints and obstacles and thus enhancing further the advanced and empowerment of women all over the world, and agree that this requires urgent action in the spirit of determination, hope, cooperation and solidarity, now and to carry us forward into the next century. We reaffirm our commitment to: 8. The equal rights and inherent human dignity of women and men and other purposes and principles enshrined in the Charter of the United Nations, to the Universal Declaration of Human Rights and other international human rights instruments, in particular the Convention on the Elimination of All Forms of Discrimination against Women and the Convention on the Rights of the Child, as well as the Declaration on the Elimination of Violence against Women and the Declaration on the Right to Development; 9. Ensure the full implementation of the human rights of women and of the girl child as an inalienable, integral and indivisible part of all human rights and fundamental freedoms; 173 10. Build on consensus and progress made at previous United Nations conferences and summits – on women in Nairobi in 1985, on children in New York in 1990, on environment and development in Rio de Janeiro in 1992, on human rights in Vienna in 1993, on population and development in Cairo in 1994 and on social development in Copenhagen in 1995 with the objective of achieving equality, development and peace; 11. Achieve the full and effective implementation of the Nairobi Forward- looking Strategies for the Advancement of WOMEN; 12. The empowerment and advancement of women, including the right to freedom of thought, conscience, religion and belief, thus contributing to the moral, ethical, spiritual and intellectual needs of women and men, individually or in community with others and thereby guaranteeing them the possibility of realizing their full potential in society and shaping their lives in accordance with their own aspirations. We are convinced that: 13. Women’s empowerment and their full participation on the basis of equality in all spheres of society, including participation in the decision- making process and access to power, are fundamental for the achievement of equality, development and peace; 14. Women’s rights are human rights; 15. Equal rights, opportunities and access to resources, equal sharing of responsibilities for the family by men and women, and a harmonious partnership between them are critical to their well-being and that of their families as well as to the consolidation of democracy; 16. Eradication of poverty based on sustained economic growth, social development, environmental protection and social justice requires the involvement of women in economic and social development, equal opportunities and the full and equal participation of women and men as agents and beneficiaries of people-centered sustainable development; 17. The explicit recognition and reaffirmation of the right of all women to control all aspects of their health in particular their own fertility, is basic to their empowerment; 18. Local, national, regional and global peace is attainable and is inextricably linked with the advancement of women, who are a fundamental force for leadership, conflict resolution and the promotion of lasting peace at all level; 19. It is essential to design, implement and monitor, with the full participation of women, effective, efficient and mutually reinforcing gender-sensitive policies and programs, including development policies and programs, at all levels that will foster the empowerment and advancement of women; 174 20. The participation and contribution of all actors of civil society, particularly women’s groups and networks and other non-governmental organizations and community-based organizations, with full respect for their autonomy, in cooperation with Governments are important to the effective implementation and follow-up of the Platform for Action; 21. The implementation of the Platform for Action requires commitment from Governments and the international community. By making national and international commitments for action, including those made at the Conference, Governments and the international community recognize the need to take priority action for the empowerment and advancement of women. We are convinced that: 22. Intensify efforts and actions to achieve the goals of the Nairobi Forward-looking Strategies for the Advancement of Women by end of this century; 23. Ensure the full enjoyment by women and the girl child of all human rights and fundamental freedoms and take effective action against violations of these rights and freedoms; 24. Take all necessary measures to eliminate all forms of discrimination against women and the girl child and remove all obstacles to gender equality and the advancement and empowerment of women; 25. Encourage men to participate fully in all actions towards equality; 26. Promote women’s economic independence, including employment and eradicate the persistent and increasing burden of poverty on women by addressing the structural causes of poverty through changes in economic structures, ensuring equal access for all women, including those in rural areas, as vital development agents, to productive resources, opportunities and public services; 27. Promote people- centered sustainable development, including sustained economic growth, through the provision of basic education, life-long education, literacy and training, and primary health care for girls and women; 28. Take positive steps to ensure peace for the advancement of women and, recognizing the leading role that women have played in the peace movement, work actively towards general and complete disarmament under strict and effective international control, and support negotiations on the conclusion, without delay, of a universal and multilaterally and effectively verifiable comprehensive nuclear test-ban treaty which contributes to nuclear disarmament and the prevention of the proliferation of nuclear weapons in all its aspects; 29. Prevent and eliminate all forms of violence against women and girls; 30. Ensure equal access to and equal treatment of women and men in education and health care and enhance women’s sexual and reproductive health as well as education; 31. Promote and protect all human rights of women and girls; 32. Intensify efforts to ensure equal enjoyment of all human rights and fundamental freedoms for all women and girls who face multiple barriers to their empowerment and advancement 175 because of such factors as their race, age, language, ethnicity, culture, religion, or disability, or because they are indigenous people; 33. Ensure respect for international law, including humanitarian law, in order to protect women and girls in particular; 34. Develop the fullest potential of girls and women of all ages, ensure their full and equal participation in building a better world for all and enhance their role in the development process; We are determined to: 35. Ensure women’s equal access to economic resources, including land, credit, science and technology, vocational training, information, communication and markets, as a means to further the advancement and empowerment of women and girls, including through the enhancement of their capacities to enjoy the benefits of equal access to these resources, interalia, by means of international cooperation; 36. Ensure the success of the Platform for Action, which will require a strong commitment on the part of Governments, international organizations and institutions at all levels. We are deeply convinced that economic development, social development and environmental protection are interdependent and mutually reinforcing components of sustainable development, which is the framework for our efforts to achieve a higher quality of life for all people. Equitable social development that recognizes empowering the poor, particularly women living in poverty, to utilize environmental resources sustainable is a necessary foundation for sustainable development. We also recognize that broad-based and sustained economic growth in the context of sustainable development is necessary to sustain social development and social justice. The success of the Platform for Action will also require adequate mobilization of resources at the national and international levels as well as new and additional resources to the developing countries from all available funding mechanisms, including multilateral, bilateral and private sources for the advancement of women; financial resources to strengthen the capacity of national, sub-regional, regional and international institutions; a commitment to equal rights, equal responsibilities and equal opportunities and to the equal participation of women and men in all national, regional and international bodies and policy-making processes; and the establishment or strengthening of mechanisms at all levels for accountability to the world’s women; 37. Ensure also the success of the platform for Action in countries with economics in transition, which will require continued international cooperation and assistance; 38. We hereby adopt and commit ourselves as Governments to implement the following Platform for Action, ensuring that a gender perspective is reflected in all our policies and programs. We urge the United Nations system, regional and international financial institutions, other relevant regional and international institutions and all women and men, as well as non-government organizations, with full respect for their autonomy, and all sectors of civil society, in cooperation with Governments, to fully commit themselves and contribute to the implementation of this Platform for Action. 176 Appendix‐E TECHNICAL COMMITTEE 01 Prof. Barkat-e-Khuda, Economics Department, University of Dhaka 02 Director General/ Deputy Director General, BBS Member 03 Joint Secretary, Statistics and Informatics Division Member 04 Representative, Chairman, Applied Statistics Department, University of Dhaka Member 05 Representative, Ministry of Health and Family Welfare (Not below DS) Member 06 Director (Research), NIPORT Member 07 Director (MIS), DG Health, Dhaka Member 08 Representative, Department of Gender Studies, University of Dhaka Member 09 Director (Demography), ICDDR,B Member 10 Project Director, SVRS Project, BBS Member 11 Director, Demography and Health Wing, BBS 177 Chairperson Member Secretary