1. Aziza Parvin, Director, Bangladesh Bureau of Statistics (BBS) & Md. Eidtazul Islam, Senior Assistant Secretary, Statistics and Informatics Division (SID)

2. Background:  The Statistical Activities of Bangladesh is performed by the National Statistical Organization, the Bangladesh Bureau of Statistics (BBS).  BBS collect, compile and disseminate information in all sectors of the economy for national planning and policy making.  BBS has a full fledged Health and Demographic Wing responsible for collecting and disseminating health related statistics. 02

3. Sources of Data on Health statistics Health Statistics are obtained from the following surveys of BBS:  Health and Demographic Survey  Sample Vital Registration System  Multiple Indicator Cluster Survey  Household Income and Expenditure Survey  Socio-Economic and Demographic Survey(Post Census Long Questionnaire Survey)  Child and Mother Nutrition Survey  Demographic and health survey (NIPORT, Ministry of Health and Family welfare) 03

4. Health and related topics covered cont….  Crude death rate  Age specific death rate  Neonatal mortality rate  Post neonatal mortality rate  Infant mortality rate  Child mortality rate  Maternal mortality rate  Principle causes of death  Percentage distribution of deaths by causes 04

5. Health and related topics covered cont…  Expectation of life  Abridged Life Table  Infant and Young Child Feeding  Child Nutrition Status  Low Birth Weight  Immunization  Vitamin A Supplement  Antenatal Care  Delivery Care 05

6. Health and related topics covered cont….  Population by diseases suffered  Average duration of ailment  Methods of treatment  Childhood illness and treatment  Care seeking for suspected pneumonia  Fever and acute respiratory infection  Childhood diarrhoea 06

7. Health and related topics covered cont…  Sources of medicine  Means of reaching to the service/ treatment providing personnel  Time required to reach the service treatment providing personnel  Average days required for consulting doctor for the first time after ailment  Average waiting time  Preference of service  Treatment cost  Reasons for non-treatment 07

8. Efforts made to improve to Gender Disaggregated Health Data The following measures has been taken to improve gender disaggregated health data:  Periodic review of questionnaire  User producer dialogue  Exhaustive training for data collectors and supervisors  Higher level supervision for quality control  Engagement of females in data collection and supervision 08

9. Selected Gender Statistics in Health Table-1: Crude death rates by sex YearNationalRuralUrbanWomenMenWomenMenWomenMen 198111.511.612.312.17.07.5 198512.211.912.913.07.98.7 199011.011.411.711.97.78.0 19958.98.68.89.36.56.9 20004.65.14.75.73.43.6 20055.15.65.46.74.15.7 20105.06.25.26.34.25.7 09

10. Table -2: Neonatal mortality rate per 1000 live birth by sex and locality for 1981-2010 YearNationalRuralUrbanGirlsBoysGirlsBoysGirlsBoys 1981728973908162 1985606762677345 1990627164735144 1995506454583735 2000394141452928 2005303631392828 2010242823292625 10

11. Table-3:Post neonatal mortality rate per 1000 live birth by sex and residence, 1981- 2010 YearNationalRuralUrbanGirlsBoysGirlsBoysGirlsBoys 1981372438243124 1985494750484336 1990292729282422 1995201924221717 2000181719181615 2005171617161517 201011101210109 11

12. Table - 4: Infant (<1 year) mortality rate per 1000 live births by sex and residence, 1981-2010 YearNationalRuralUrbanGirlsBoysGirlsBoysGirlsBoys 198110911311111493105 198510911411211587109 19909198931016873 1995707376805255 2000575962634345 2005475248544345 2010353835393635 12

13. Table-5:Under 5 Mortality Rate per 1000 live births by sex and residence, 1982-2010 YearNationalRuralUrbanGirlsBoysGirlsBoysGirlsBoys 1982214211224218106137 1985172169176172127135 199014915415516096103 19951211281281338185 2000848689915456 2005657068735260 2010435043524344 13

14. Table -6: Maternal mortality ratio by residence, 1986-2010 YearNationalRuralUrban19866.486.695.79 19895.085.784.60 19924.684.803.98 19954.474.523.80 19983.233.362.85 20013.153.262.58 20043.653.872.53 20073.513.862.19 20102.162.301.78 14

15. Table -7: Expectation of life at birth by sex and residence, 1981-2010 YearNationalRuralUrbanWomenMenWomenMenWomenMen 198154.555.353.954.960.559.8 198554.655.754.155.360.559.9 199055.656.654.956.059.760.3 199558.158.457.757.360.961.5 200063.563.762.761.765.465.2 200565.864.465.663.568.167.6 201068.866.668.666.469.568.3 15

16. Table -8 :Percentage distribution of women aged 15-49 with a birth in the two years preceding the survey by type of personnel assisting during delivery 2006,2007, 2009 and 2011 Delivery Care MICS 2006 BDHS 2007 MICS 2009 BDHS 2011 Assistance during delivery Medical doctor 15.512.720.522.2 Nurse/midwife4.65.23.88.9 Traditional birth attendant 66.010.858.411.2 Community health work 1.00.10.90.3 Relative/ friend 11.26.114.53.8 Other1.00.01.852.9 Any skilled personnel 20.1-24.4- 16

17. Table -9: Prevalence of malnutrition (WHO 2005 GRS) in children aged <5 years by sex and area of residence, 2005-12 IndicatorNational(%)Rural(%)Urban(%)BothGirlsBoysBothGirlsBoysBothGirlsBoys 2005 Underweight (WAZ WHO <-2) 39.739.040.342.241.343.029.929.730.1 Stunting (HAZ WHO <-2) 46.245.347.148.848.249.435.933.738.0 Wasting (WHZ WHO <-2) 14.514.514.515.114.815.312.213.311.2 Obesity (BAZ WHO <-2) 1.41.61.21.31.61.01.61.41.9 MUACZ27.126.527.729.328.430.119.318.118.5 MUAC <125 mm 4.35.63.24.86.23.42.42.72.2 2012 Underweight (WAZ WHO <-2) 34.429.938.635.230.639.831.727.535.1 Stunting (HAZ WHO <-2) 41.242.040.542.743.342.136.437.235.7 Wasting (WHZ WHO <-2) 13.410.915.713.611.016.212.610.814.2 Obesity (BAZ WHO <-2) 4.13.94.33.73.73.65.54.46.4 MUACZ6.86.47.27.67.28.04.23.34.9 MUAC <125 mm 3.03.22.83.33.23.32.22.91.5 17

18. Table -10: Percent of treatment recipient by sex, residence and type of treatment, 2005 and 2010 Type of Treatment Percent of treatment recipient 200020052010 WomenMenWomenMenWomenMen Govt. Health Worker 4.083.540.971.202.432.38 NGO Health Worker 0.550.330.360.160.430.31 Homeopathic Doctor 5.374.375.224.213.683.18 Kabiraj/Hekim/Ayurbed2.081.871.171.600.751.28 Peer/Fakir/Tactric/Baidya0.260.410.120.240.320.40 Govt. Doctor (Govt. Institution) 6.476.688.017.109.419.14 Govt. Doctor (Private Practice) 16.0015.4516.3613.8215.1613.43 NGO Doctor 0.580.400.520.380.200.20 Private Doctor 23.4224.8524.2324.4924.5424.37 Pharmacy/Dispensary/ Compounder 38.0138.3936.9140.5239.2041.35 Family Treatment --0.720.630.870.89 Self Treatment --0.450.600.650.56 Others3.203.704.955.052.372.50 18

19. Table -11: Distribution of patients by their sources of getting medicine,2000, 2005 and 2010 Source of getting medicine 200020052010BothWomenMenWomenMen Government health centre 3.552.782.803.022.33 NGO health centre 0.520.680.600.370.33 Private health centre 0.830.490.740.560.45 Other service personal 0.971.001.153.803.94 Pharmacy/ dispensary 89.4792.9392.7290.2890.25 Other shops 1.990.670.670.831.02 Others2.691.451.311.131.56 19

20. Table -12: Average medical expenditure per patient (Tk) in the preceding 30 days by sex and residence, 2000, 2005 and 2010 Item of expenditure Average expenditure per patient (Tk) 200020052010 WomenMenWomenMenWomenMen Doctor’s visit 8383123105159160 Hospital/ clinic fee 11451152133391820161440 Medicine cost 194195279272453522 Test/ investigation fee 392368622404893806 Transport cost 69577683124145 Tips for treatment 2151565522861695283 Other expenses 13294173110250265 Total168161465396388407 20

21. Dissemination of Gender Health Statistics Dissemination of Gender Health Statistics Gender statistics are disseminated in the following ways:  Yearly publications with gender disaggregated data  Health related survey reports with gender disaggregated data  Separate gender focused reports  Online reports, CDs etc. 21

22. Main users of gender health statistics  Ministry of Health and Family Welfare  Director General Health  Director General Family Planning  World Health Organization  Ministry of Women and Children Affairs  UNICEF  UNIFEM  UNFPA Continue… 22

23. Main users of gender health statistics  ILO  World Bank  NGOs  Civil Society Organizations  Bangladesh Women Lawyers Association  Other Ministries and Divisions  Other Development Partners 23

24. Main challenges of gender health statistics  Inadequate coordination between data producers and users.  Inadequate disaggregated data at the sub- national level.  Inadequate proper training for the field data collectors.  Inadequate analysis of existing disaggregated statistics.  Shortage of expertise in data analysis. Cont….. 24

25. Main challenges of gender health statistics  Inadequate understanding of international standard for compiling disaggregated gender statistics.  Inadequate national resource on gender issues.  Inadequate proper guide lines.  Inadequate awareness of gender related issues. 25

26. CONCLUDING REMARKS We can increase the realization of the important role that women can play in the development process of a country, that has underlined the need to generate gender-sensitive indicators and sex-disaggregated statistics. These statistics help highlight the existing differences between men and women. Cont….. 26

27. CONCLUDING REMARKS This has also raised the need to develop the gender information gathering system that enables government to keep abreast with global commitments to achieving gender equality and women empowerment. Cont….. 27

28. CONCLUDING REMARKS Improving the availability and quality of sex- disaggregated gender statistics is essential for providing policy makers with reliable data to make decisions and design effective. 28

29. Thanks Thanks