The Landmine Monitor identified more than 1,500 child casualties in 1999 and more than 1,600 in 2001. This includes only <strong>the</strong> casualties for which <strong>the</strong> civilian/security status and <strong>the</strong> age were known. Boys accounted for 1,371 <strong>of</strong> <strong>the</strong> 2,735 civilian casualties caused by explosive remnants <strong>of</strong> war (ERW) between 2008 and 2010. Landmine and Cluster Munition Monitor, Landmine and Cluster Munition Monitor Fact Sheet: Impact <strong>of</strong> mines/ERW on children – November 2011, Landmine and Cluster Munition Monitor, Geneva, p. 2. Landmine and Cluster Munition Monitor Fact Sheet: Impact <strong>of</strong> mines/ERW on children – November 2010, pp. 1–3. Landmine and Cluster Munition Monitor Fact Sheet: Landmines and children – March 2010, pp. 2, 3. Percentages are <strong>of</strong> civilian casualties for which <strong>the</strong> age was known. <strong>Children</strong> made up 30 per cent <strong>of</strong> casualties from all types <strong>of</strong> mines. Landmine and Cluster Munition Monitor, ‘The Issues: Landmines’, Landmine and Cluster Munition Monitor, Geneva, , accessed 31 January <strong>2013</strong>. Walsh, Nicolas E., and Wendy S. Walsh, ‘Rehabilitation <strong>of</strong> Landmine Victims: The ultimate challenge’, Bulletin <strong>of</strong> <strong>the</strong> World Health Organization, vol. 81, no. 9, 2003, pp. 665–670. International Save <strong>the</strong> <strong>Children</strong> Alliance, ‘Child Landmine Survivors: An inclusive approach to policy and practice’, International Save <strong>the</strong> <strong>Children</strong> Alliance, London, 2000. Watts, Hugh G., ‘The Consequences for <strong>Children</strong> <strong>of</strong> Explosive Remnants <strong>of</strong> War: Land mines, unexploded ordnance, improvised explosive devices and cluster bombs’, Journal <strong>of</strong> Pediatric Rehabilitation Medicine: An Interdisciplinary Approach, vol. 2, 2009, pp. 217–227. Landmine and Cluster Munition Monitor Fact Sheet: Impact <strong>of</strong> mines/ERW on children – November 2010, pp. 1–3. Watts, Hugh G., ‘The Consequences for <strong>Children</strong> <strong>of</strong> Explosive Remnants <strong>of</strong> War’, pp. 217–227. Landmine and Cluster Munition Monitor Fact Sheet: Landmines and children – June 2009, pp. 1–4. Munoz, Wanda, Ulrike Last and Teng Kimsean, Good Practices from <strong>the</strong> Project: Towards sustainable income generating activities for mine victim and o<strong>the</strong>r persons with disabilities in Cambodia, Handicap International Federation (HIC) Cambodia, Phnom Penh, Cambodia, 2010. Child Protection in Crisis (CPC) Network, Livelihoods and Economic Streng<strong>the</strong>ning Task Force, The Impacts <strong>of</strong> Economic Streng<strong>the</strong>ning Programs on <strong>Children</strong>: a review <strong>of</strong> <strong>the</strong> evidence, CPC Network, August 2011, pp. ii, 1, 18. Landmine and Cluster Munition Monitor Fact Sheet: Impact <strong>of</strong> mines/ERW on children – November 2010, pp. 1–3. Handicap International, Voices from <strong>the</strong> Ground: Landmine and explosive remnants <strong>of</strong> war survivors speak out on victim assistance, Handicap International, Brussels, September 2009, p. 210. Chapter 6 Measuring child disability 114 United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries: Results from <strong>the</strong> Multiple Indicator Cluster Surveys, UNICEF, New York, 2008, p. 9. 115 Mont, Daniel, ‘Measuring Disability Prevalence’, Social Protection Discussion Paper No. 0706, The World Bank, Washington, D.C., March 2007, p. 35; Maulik, Pallab K., and Gary L. Darmstadt, ‘Childhood Disability in Low- and Middle- Income Countries: Overview <strong>of</strong> screening, prevention, services, legislation, and epidemiology’, Pediatrics, vol. 120, Supplement 1, July 2007, p. S21. 116 World Health Organization, Towards a Common Language for Functioning, Disability and Health: ICF – The international classification <strong>of</strong> functioning, disability and health, WHO, Geneva, 2002. 117 Msall, Michael E., and Dennis P. Hogan, ‘Counting <strong>Children</strong> with Disability in Low- Income Countries: Enhancing prevention, promoting child development, and investing in economic well-being’, Pediatrics, vol. 120, no. 1, July 2007, p. 183. 118 Durkin, Maureen, S., ‘The Epidemiology <strong>of</strong> Developmental Disabilities in Low- Income Countries’, Mental Retardation and Developmental Disabilities Research Review, vol. 8, no. 3, 2002, p. 211; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 8. 119 Lansdown, R. G., et al., ‘Culturally Appropriate Measures for Monitoring Child Development at Family and Community Level: A WHO collaborative study’, Bulletin <strong>of</strong> <strong>the</strong> World Health Organization, vol. 74, no. 3, 1996, p. 287 120 See appendix 2 <strong>of</strong> Maulik and Darmstadt, 2007. 121 Robertson, Janet, Chris Hatton and Eric Emerson, ‘The Identification <strong>of</strong> <strong>Children</strong> with or at Significant Risk <strong>of</strong> Intellectual Disabilities in Low and Middle Income Countries: A review’, CeDR Research Report, no. 3, Centre for Disability Research, Lancaster University, Lancaster, UK, July 2009, p. 22; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, pp. 9, 58; Gladstone, M. J., et al., ‘Can Western Developmental Screening Tools Be Modified for Use in a Rural Malawian Setting?’, Archives <strong>of</strong> Diseases in Childhood, vol. 93, no. 1, January 2008, pp. 23–29. 122 Mont, Daniel, ‘Measuring Disability Prevalence’, p. 35; Washington Group on Disability Statistics, ‘Understanding and Interpreting Disability as Measured Using <strong>the</strong> WG Short Set <strong>of</strong> Questions’, 20 April 2009, p. 2. 123 United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 8. 124 Durkin, Maureen S., ‘Population-Based Studies <strong>of</strong> Childhood Disability in Developing Countries: Rationale and study design’, International Journal <strong>of</strong> Mental Health, vol. 20, no. 2, 1991, pp. 47–60; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 8. 125 Durkin, Maureen S., ‘Population-Based Studies <strong>of</strong> Childhood Disability in Developing Countries’, pp. 47–60. 126 Ibid.; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 9. 127 World Health Organization and <strong>the</strong> United Nations Economic and Social Commission for Asia and <strong>the</strong> Pacific, Training Manual on Disability Statistics, Bangkok, 2008, pp. 107–108. 128 United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, pp. 8–9; Nair, M. K., et al., ‘Developmental Screening Chart’, Indian Pediatrics, vol. 28, no. 8, 1991, pp. 869–872. 129 United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 9; Durkin, Maureen S., ‘Population- Based Studies <strong>of</strong> Childhood Disability in Developing Countries’, pp. 47–60. 130 Robertson, Janet, Chris Hatton and Eric Emerson, ‘The Identification <strong>of</strong> <strong>Children</strong> with or at Significant Risk <strong>of</strong> Intellectual Disabilities in Low and Middle Income Countries: A review’, p. 20. FOCUS Lessons learned United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries: Results from <strong>the</strong> Multiple Indicator Cluster Surveys, p. 9; Thorburn Marigold, et al., ‘Identification <strong>of</strong> Childhood Disability in Jamaica: The ten question screen’, International Journal <strong>of</strong> Rehabilitation Research, vol. 15, no. 2, June 1992, pp. 115–127. United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries: Results from <strong>the</strong> Multiple Indicator Cluster Surveys, p. 9. Durkin, Maureen S., ‘Population-Based Studies <strong>of</strong> Childhood Disability in Developing Countries’, pp. 47–60; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, pp. 9–10. Zaman, Sultana S., et al., ‘Validity <strong>of</strong> <strong>the</strong> ‘Ten Questions’ for Screening Serious Childhood Disability: Results from urban Bangladesh’, International Journal <strong>of</strong> Epidemiology, vol. 19, no. 3, 1990, p. 613. Previous UNICEF publications reported that <strong>the</strong> number <strong>of</strong> participating countries was 20. This number was correct when those publications were printed, but <strong>the</strong> final number <strong>of</strong> countries that administered <strong>the</strong> Ten Questions as part <strong>of</strong> MICS3 was 25. United Nations <strong>Children</strong>’s Fund and University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 23. FOCUS From screening to assessment Maulik, Pallab K., and Gary L. Darmstadt, ‘Childhood Disability in Low- and Middle- Income Countries’, July 2007, p. S6; United Nations <strong>Children</strong>’s Fund and <strong>the</strong> University <strong>of</strong> Wisconsin, Monitoring Child Disability in Developing Countries, p. 58. 92 THE STATE OF THE WORLD’S CHILDREN <strong>2013</strong>: <strong>Children</strong> with Disabilities
Statistical Tables Economic and social statistics on <strong>the</strong> countries and areas <strong>of</strong> <strong>the</strong> world, with particular reference to children’s well-being. Overview ..............................................................................................94 General note on <strong>the</strong> data ....................................................................94 Child mortality estimates ....................................................................94 Notes on specific tables ......................................................................95 Explanation <strong>of</strong> symbols .......................................................................98 Regional classification .........................................................................98 Under-five mortality rankings .............................................................99 TABLES 1 Basic indicators ...........................................................................100 2 Nutrition .......................................................................................104 3 Health ...........................................................................................108 4 HIV/AIDS ......................................................................................112 5 Education .....................................................................................116 6 Demographic indicators .............................................................120 7 Economic indicators ...................................................................124 8 Women .........................................................................................128 9 Child protection ...........................................................................132 10 The rate <strong>of</strong> progress ....................................................................136 11 Adolescents .................................................................................140 12 Disparities by residence .............................................................144 13 Disparities by household wealth ...............................................148 14 Early childhood development ....................................................152 STATISTICAL TABLES 93