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ProvinceDistrictSchool Participation Rate(%)School Drop-out Rate(%)age 7–12 age 13–15 age 16–18 age 19–24 age 7–15 age 16–18 age 19–2473. South Sulawesi 92.2 68.6 44.4 12.7 5.3 17.3 17.601. Selayar 95.2 68.3 35.1 2.1 6.9 20.6 20.102. Bulukumba 89.3 63.9 39.1 7.5 7.1 19.6 16.603. Bantaeng 82.1 45.4 28.5 2.5 8.2 29.4 29.604. Jeneponto 80.4 54.2 27.9 3.6 11.4 32.5 30.605. Takalar 90.0 66.0 35.4 3.7 7.8 17.6 24.706. Gowa 92.5 68.0 40.3 11.3 5.5 15.1 22.107. Sinjai 95.2 69.3 39.4 6.4 4.2 15.0 24.208. Maros 92.8 72.8 41.6 7.9 5.0 17.9 22.909. Pangkajene Kepulauan 92.2 59.4 37.6 3.5 7.7 24.3 24.410. Barru 96.7 72.7 46.4 8.7 3.6 13.5 13.911. Bone 96.4 60.7 33.6 2.2 4.5 19.0 14.112. Soppeng 96.8 82.8 49.7 7.8 1.3 14.3 13.013. Wajo 93.6 54.3 30.6 1.1 5.3 13.0 20.414. Sidenreng Rappang 94.4 69.9 37.7 3.6 4.4 15.1 25.015. Pinrang 94.2 72.6 37.8 3.7 4.8 14.9 23.016. Enrekang 96.4 84.8 55.1 4.7 3.4 14.3 24.017. Luwu 91.2 75.1 52.3 5.0 5.8 14.0 16.718. Tana Toraja 90.5 81.7 69.1 11.2 4.3 14.4 16.719. Polewali Mamasa 90.0 59.1 32.6 5.1 6.9 29.2 25.320. Majene 94.0 68.7 43.5 9.7 5.5 16.6 16.721. Mamuju 87.5 61.3 29.5 4.3 7.7 24.8 32.622. North Luwu 93.3 72.1 36.8 5.3 3.0 17.5 11.071. Ujung Pandang 95.6 85.2 71.8 41.7 3.0 11.5 6.872. Pare Pare 96.7 81.9 69.4 8.7 4.7 6.4 10.874. South East Sulawesi 93.9 76.3 49.1 10.4 4.9 17.7 19.201. Buton 91.8 75.6 47.4 5.7 5.0 20.0 20.202. Muna 92.2 79.7 55.4 6.5 7.0 23.4 30.803. Kendari 96.2 78.3 41.1 8.2 4.2 17.7 21.404. Kolaka 93.9 73.6 37.2 3.9 5.6 18.5 16.671. Kendari 98.4 90.1 75.8 34.5 1.6 4.7 7.975. Gorontalo 83.5 60.3 32.3 7.2 12.7 27.4 32.601. Boalemo 87.7 61.9 27.1 5.9 9.6 37.5 34.002. Gorontalo 85.3 57.6 25.4 5.0 15.4 27.3 35.471. Gorontalo 94.7 78.9 60.5 15.6 6.7 16.7 21.981. Maluku 95.5 84.8 54.7 11.6 2.9 12.8 13.601. West South-East Maluku 96.5 87.0 50.4 1.8 4.1 21.1 29.602. South-East Maluku 97.1 82.2 47.2 4.4 2.5 14.0 14.403. Central Maluku 96.2 85.8 52.2 8.0 2.8 11.0 12.804. Buru 89.1 74.0 40.8 7.7 3.3 15.8 7.471. Ambon 98.4 94.0 79.1 30.6 1.6 3.1 5.482. North Maluku 97.7 90.2 61.8 16.1 2.3 15.2 15.801. North Maluku 97.2 87.7 43.4 1.0 2.4 22.1 25.202. Central Halmahera 97.3 86.4 42.2 7.7 3.6 20.0 23.371. Ternate 98.6 95.5 83.4 31.4 1.2 6.5 5.2162 National Human Development Report 2004
ProvinceDistrictSchool Participation Rate(%)School Drop-out Rate(%)age 7–12 age 13–15 age 16–18 age 19–24 age 7–15 age 16–18 age 19–2491. Papua 86.8 78.6 52.4 9.7 3.4 15.6 24.601. Merauke 82.1 71.3 34.5 2.9 5.3 36.0 50.902. Jayawijaya 67.3 56.6 24.4 1.2 3.3 37.0 50.003. Jayapura 95.1 91.2 66.8 18.8 0.6 6.0 24.204. Nabire 97.4 90.0 50.0 4.0 1.0 13.2 19.605. Paniai 93.5 61.9 41.4 1.3 6.2 30.0 17.306. Puncak Jaya 90.1 78.6 47.5 2.7 2.9 18.4 15.907. Fak Fak 93.7 84.6 51.1 8.9 3.9 15.1 17.408. Mimika 90.4 85.0 33.7 0.7 2.5 17.2 38.809. Sorong 95.3 93.9 57.7 21.9 1.9 10.3 22.710. Manokwari 85.5 61.8 51.3 9.7 2.5 6.0 18.211. Yapen Waropen 86.9 60.2 29.9 2.7 19.8 45.5 50.012. Biak Numfor 89.7 78.3 52.3 4.2 3.3 7.3 12.971. Jayapura 93.6 93.5 89.4 26.4 3.7 1.5 3.972. Sorong 97.7 89.1 72.2 10.5 3.4 15.6 24.6Indonesia 96.1 79.3 49.9 11.7 2.8 9.4 11.1Notes:1. Nangroe Aceh Darussalam, Maluku, North Maluku and Papua use 2003 data.2. The number before each province or district is the official area code. District refers to both regency (kabupaten) and city (kota). Where twodistricts have the same name, the one with a code number above 70 is a city.Source: BPS special tabulationNational Human Development Report 2004163
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NationalHuman DevelopmentReport 200
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ForewordIndonesia has made critical
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AcknowledgementsThis Report is a re
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AbbreviationsAPBDAPBNASEANBAPPENASB
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TABLES2.1 - Comparison of per capit
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EXECUTIVE SUMMARYIndonesiaNational
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to meet the Millennium Development
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Chapter 1Indonesia in transition:To
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The place of human development in I
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Chapter 2The state of human develop
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Figure 2.4 - Map of human developme
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Figure 2.4 - Social indicators, 197
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of income and corporate taxes has r
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Figure 2.10 - GDP growth, 1990-2003
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Table 2.4 - Proportion of total bri
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In addition, the overall sense of p
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themselves. On this basis Indonesia
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Box 3.2 - Pathways to human develop
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Table 3.3 - Infant mortality rate a
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poor is a clear recognition that de
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educing the infant mortality rate m
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assuming that 1.3 trillion would co
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The national figure would certainly
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expenditure. In practice, it would
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Table 4.2 - Provincial breakdown of
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administration, plus an allowance f
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Figure 4.5 - Ratio of salaries of p
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Appendix to Chapter 4Health and edu
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The third is the ‘Special Fund’
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Chapter 5Rethinking fiscal prioriti
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At the very outset, however, it sho
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enforcement particularly for person
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Another risk from decentralization
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Box 5.2 - Variations in poverty con
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physical security - which contribut
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centre, for example, played a signi
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BibliographyAbidin, A. (2002), 1 st
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LPEM-FEUI (2004), Draft Final Repor
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Subbarao, K., A. Bonnerjee, J. Brai
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HUMAN DEVELOPMENT INDICATORS AND IN
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The human development approach brin
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Box 2HDI, HPI-1, GDI and GEMHuman D
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What do the human developmentindice
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Table 1 - Districts making the grea
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Table 2 - Districts with the highes
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Figure 8 - GDI by province, 1999-20
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Figure 12 - HPI by components, 1999
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Technical workshopon human developm
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• The percentage of households wi
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11 Percentage of people with self-t
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Annex 2N a m esGROUP IIChairperson:
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Changes in names due to the formati
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LampungKab. Lampung Selatan (South
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1Human Development Index (HDI)by pr
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3Gender-related Development Index (
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5Human Poverty Index (HPI)by provin
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ProvinceDistrictLiveexpectancy(year
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Page 123 and 124: ProvinceDistrictLife expectancy(yea
Page 129 and 130: 8Gender Development Index (GDI)by d
Page 131 and 132: ProvinceDistrictProportionof popula
Page 137 and 138: 9Gender Empowerment Measure (GEM)by
Page 139 and 140: ProvinceDistrictParticipationof wom
Page 141 and 142: ProvinceKabupaten/KotaDistrictParti
Page 143 and 144: ProvinceKabupaten/KotaDistrictParti
Page 153 and 154: ProvinceDistrictPeople notexpected
Page 161 and 162: ProvinceDistrictInfantmortalityrate
Page 169 and 170: ProvinceDistrictSchool Participatio
Page 171 and 172: ProvinceDistrictSchool Participatio
Page 173: ProvinceDistrictSchool Participatio
Page 177 and 178: ProvinceDistrictHouseholds withacce
Page 185 and 186: ProvinceDistrictReal per capita GRD
Page 193 and 194: ProvinceDistrictLabourforceparticip
Page 201 and 202: ProvinceDistrictDevelopmentexpendit
Page 209 and 210: Computing the indicesThe Human Deve
Page 211 and 212: Calculating the HDIThis illustratio
Page 213 and 214: Calculating the GDIAs an example, t
Page 215 and 216: Definitions of Statistical TermsAcc
Page 217: School drop-out rate: the proportio
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