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Human Development in India - NCAER

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210 human development <strong>in</strong> <strong>in</strong>diaRegional DisparitiesOne of the most strik<strong>in</strong>g results <strong>in</strong> this report are thelarge state differences <strong>in</strong> almost all <strong>in</strong>dicators of humandevelopment (see Box 14.1).Infant mortality rates <strong>in</strong> Kerala (estimated at n<strong>in</strong>e <strong>in</strong>the IHDS) rival those of developed countries. In contrast,those <strong>in</strong> Uttar Pradesh (estimated at 80 <strong>in</strong> the IHDS) aresubstantially higher. Similarly, female literacy rates <strong>in</strong>the North-East are 81 per cent, about twice the rate <strong>in</strong>Rajasthan.Regional disparities <strong>in</strong> <strong>in</strong>come, education, health, andother dimensions of human development, are well known.However, the causes of these disparities rema<strong>in</strong> poorlyunderstood. Like others who have noted these disparities,we do not attempt to expla<strong>in</strong> them. However, this sectionhighlights the results from preced<strong>in</strong>g chapters that might spura discussion about how to best understand these differences<strong>in</strong> order to develop effective public policy.Several observations are worth not<strong>in</strong>g. Substantialstate differences <strong>in</strong> economic development affect both theBox 14.1Regional Differences Are Often Larger Than Other DifferencesResults presented <strong>in</strong> this report <strong>in</strong>dicate that on a variety of dimensions of human development, differences between states are often as large,if not larger than, the differences by <strong>in</strong>come, education, urban/rural residence, and caste or religion. Although, some of the state leveldifferences may be due to education, <strong>in</strong>come, or other personal characteristics, contextual factors seem to play an <strong>in</strong>dependent role.StateIncomeState Differences <strong>in</strong> Selected IndicatorsHouseholds Children Women Women Under 5with Electricity Aged 8–11 Aged 15–59 Married Mortality18+ Hours Can Read Work Before 18 (per 1,000)(per cent) (per cent) (per cent) (per cent)Lowest 3 39 26 19 11(Bihar) (UP) (Punjab) (Kerala) (Kerala)Highest 99 83 79 86 116(Himachal) (Himachal) (Himachal) (Bihar) (Uttar Pradesh)Difference 96 44 53 –67 105Bottom Quantile 45 45 61 70 78Top Quantile 66 73 30 42 37Difference 21 28 –31 –28 –41Social GroupDalit 55 44 51 71 94Forward Castes 64 71 37 49 50Difference 9 27 –14 –22 –44EducationNone 41 35 63 75 92College graduate 67 80 27 7 37Difference 26 45 –36 –68 –55Urban/RuralLess developed village 38 47 62 70 82Metropolitan city 90 69 15 38 31Difference 52 22 –47 –32 –51Table cross Appendix Appendix Appendix Appendix AppendixReference Table A.5.1 Table A.6.4 Table A.4.1 Table A.10.1 Table A.8.1Source: IHDS 2004–5 data.

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