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ProvinceDistrictParticipationof women inparliament(%)Femalesin thelabour force(%)Femalepopulation(%)AverageNon-agricultural wage(thousand Rupiah)FemaleMaleGEMGEMranking36. Banten 9.3 31.8 49.1 602.8 873.5 48.6 1601. Pandeglang 2.2 34.9 48.7 252.9 554.4 33.6 29402. Lebak 6.7 32.1 48.7 427.5 477.5 45.3 14803. Tangerang 2.2 32.0 49.1 648.9 955.8 39.2 24604. Serang 6.7 28.9 48.1 406.8 786.1 38.7 25171. Tangerang 2.2 32.9 50.7 604.1 834.5 38.2 25572. Cilegon 13.3 27.3 49.2 680.8 1,165.4 44.8 16151. Bali 0.0 43.6 49.2 422.2 725.4 42.3 2601. Jembrana 0.0 43.3 49.9 314.3 591.1 42.3 20102. Tabanan 0.0 44.9 49.3 406.1 712.8 45.7 14103. Badung 5.7 41.7 49.9 506.9 738.2 44.9 15904. Gianyar 0.0 39.7 48.1 372.8 642.4 27.5 32005. Klungkung 8.0 47.9 50.2 326.6 602.5 50.1 7506. Bangli 0.0 44.8 49.3 331.6 544.8 37.9 25807. Karangasem 2.9 46.5 50.3 297.6 577.8 45.4 14608. Buleleng 2.2 44.4 49.2 276.8 1,017.3 31.1 30771. Denpasar 0.0 42.4 48.4 500.3 759.3 46.0 13552. West Nusa Tenggara 5.5 43.9 51.8 306.0 481.3 47.2 2001. West Lombok 2.2 42.7 51.7 219.3 416.5 29.5 31602. Central Lombok 6.7 50.4 53.2 273.5 348.7 47.9 10703. East Lombok 6.3 44.6 52.7 204.1 708.0 34.6 28604. Sumbawa 0.0 40.7 49.8 496.2 605.2 45.4 14705. Dompu 0.0 41.1 49.5 459.3 527.3 48.9 8806. Bima 0.0 41.2 51.2 312.8 499.3 38.8 25071. Mataram 8.6 36.8 50.4 389.8 441.0 52.3 5253. East Nusa Tenggara 3.6 42.2 50.8 445.6 585.7 46.2 2201. West Sumba 0.0 44.2 49.9 431.0 520.2 42.2 20202. East Sumba 0.0 41.4 49.0 753.4 600.2 48.5 9203. Kupang 5.0 39.9 50.6 232.4 484.3 36.9 26804. Southern Central Timor 5.7 34.8 50.4 237.0 669.1 19.3 33205. Northern Central Timor 0.0 38.7 50.1 316.2 470.0 27.0 32306. Belu 0.0 36.7 50.1 437.3 502.0 44.0 17507. Alor 0.0 41.5 49.8 250.4 546.7 33.5 29508. Lembata 0.0 50.4 54.7 637.0 642.1 43.6 18509. East Flores 0.0 42.3 52.1 618.5 508.7 44.3 16810. Sikka 6.7 46.7 52.7 365.4 551.6 48.0 10511. Ende 3.3 55.7 54.9 371.4 549.4 50.9 6812. Ngada 0.0 40.4 50.5 483.2 544.8 48.4 9513. Manggarai 0.0 44.7 50.9 663.3 446.6 33.3 29771. Kupang 10.0 33.8 48.8 502.0 783.1 44.1 17461. West Kalimantan 3.6 38.2 48.8 478.5 655.7 47.9 1901. Sambas 2.2 46.0 50.3 365.7 616.5 45.6 14202. Bengkayang 0.0 35.6 48.4 392.7 708.8 40.0 23403. Landak 0.0 37.4 46.8 454.0 626.8 34.4 28704. Pontianak 2.2 33.2 47.9 576.6 670.3 44.0 17705. Sanggau 2.2 38.3 49.6 447.0 570.4 41.3 21706. Ketapang 7.5 34.5 47.3 572.2 615.5 55.5 2607. Sintang 0.0 40.3 48.7 399.6 678.8 42.6 19908. Kapuas Hulu 4.0 44.4 48.6 670.5 786.4 51.0 6571. Pontianak 2.5 36.7 52.0 435.5 669.4 42.7 198136 National Human Development Report 2004
ProvinceDistrictParticipationof women inparliament(%)Femalesin thelabour force(%)Femalepopulation(%)AverageNon-agricultural wage(thousand Rupiah)FemaleMaleGEMGEMranking62. Central Kalimantan 2.2 34.1 48.2 558.4 770.8 43.4 2501. West Kotawaringin 4.2 35.0 47.2 495.9 817.1 39.9 23702. East Kotawaringin 0.0 23.5 47.1 452.4 773.0 27.2 32203. Kapuas 8.9 41.4 48.8 430.8 680.7 54.5 3004. South Barito 5.6 38.9 49.2 532.9 654.3 52.1 5305. North Barito 0.0 35.2 48.2 701.4 1,125.7 40.5 22771. Palangka Raya 4.2 30.8 50.2 641.6 743.0 45.5 14463. South Kalimantan 12.7 39.4 49.9 482.8 748.3 57.5 201. Tanah Laut 6.7 40.3 49.8 385.5 695.6 46.4 12902. Kota Baru 5.0 34.8 49.3 305.8 816.3 32.6 30103. Banjar 10.0 39.5 49.3 442.1 686.1 55.6 2504. Barito Kuala 3.3 43.1 50.7 534.7 667.7 50.4 7205. Tapin 4.0 40.5 50.5 404.9 718.3 43.4 19106. South Hulu Sungai 3.7 44.0 50.3 334.3 677.6 47.3 11407. Central Hulu Sungai 10.0 46.7 50.3 340.9 948.3 49.2 8508. North Hulu Sungai 3.3 43.4 50.4 361.2 538.3 50.3 7309. Tabalong 0.0 42.5 51.3 437.7 871.3 40.6 22671. Banjarmasin 4.4 32.8 49.8 493.9 779.5 40.4 23172. Banjar Baru 8.0 30.8 48.5 559.0 746.5 51.8 5764. East Kalimantan 6.7 30.3 48.0 553.4 1,051.1 41.1 2701. Pasir 3.3 29.3 48.6 565.8 929.1 39.6 24302. West Kutai 0.0 32.9 47.3 543.0 995.3 36.6 27203. Kutai 2.2 30.2 47.1 623.3 1,234.1 36.7 27104. East Kutai 0.0 24.4 46.0 704.7 1,427.9 20.7 33105. Berau 0.0 32.0 46.3 551.9 1,117.4 36.9 27006. Malinau 0.0 36.8 48.0 550.3 778.0 22.2 32907. Bulongan 3.3 32.9 47.6 495.0 776.7 42.0 20308. Nunukan 0.0 31.9 48.6 362.5 572.2 35.9 27671. Balikpapan 10.0 31.0 49.8 553.0 887.8 46.5 12772. Samarinda 4.4 32.6 48.4 533.4 1,045.7 39.3 24573. Tarakan 4.0 23.6 47.0 558.9 646.4 40.8 22374. Bontang 4.0 21.7 47.9 519.0 1,421.5 26.4 32471. North Sulawesi 11.1 30.8 48.5 618.0 769.1 55.1 601. Bolaang Mongondow 4.0 25.1 47.8 441.2 560.1 40.1 23302. Minahasa 7.0 31.9 48.6 557.0 717.4 50.7 7003. Sangihe Talaud 2.0 28.1 48.3 535.8 550.2 45.0 15771. Manado 3.0 35.2 48.8 747.3 925.0 47.5 11372. Bitung 2.0 33.3 49.6 474.2 671.0 42.9 19572. Central Sulawesi 11.1 33.7 48.9 636.2 628.8 59.1 101. Banggai Kepulauan 0.0 36.0 48.1 137.4 529.0 22.6 32602. Banggai 2.5 36.9 50.8 262.0 577.3 37.5 26103. Morowali 0.0 31.9 48.2 245.8 510.8 34.3 28904. Poso 7.5 31.8 47.6 613.1 571.3 54.5 3105. Donggala 4.8 34.4 48.7 220.4 550.4 36.9 26906. Toli-Toli 6.7 22.1 49.3 352.3 758.2 32.2 30307. Buol 0.0 20.8 48.0 502.6 597.1 33.8 29171. Palu 3.3 37.8 50.1 478.0 728.7 44.8 160National Human Development Report 2004137
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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
Page 97 and 98: Technical workshopon human developm
Page 99 and 100: • The percentage of households wi
Page 101 and 102: 11 Percentage of people with self-t
Page 103 and 104: Annex 2N a m esGROUP IIChairperson:
Page 105 and 106: Changes in names due to the formati
Page 107 and 108: LampungKab. Lampung Selatan (South
Page 109 and 110: 1Human Development Index (HDI)by pr
Page 111 and 112: 3Gender-related Development Index (
Page 113 and 114: 5Human Poverty Index (HPI)by provin
Page 115 and 116: ProvinceDistrictLiveexpectancy(year
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 147: ProvinceDistrictParticipationof wom
Page 153 and 154: ProvinceDistrictPeople notexpected
Page 161 and 162: ProvinceDistrictInfantmortalityrate
Page 169 and 170: ProvinceDistrictSchool Participatio
Page 177 and 178: ProvinceDistrictHouseholds withacce
Page 185 and 186: ProvinceDistrictReal per capita GRD
Page 193 and 194: ProvinceDistrictLabourforceparticip
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ProvinceDistrictLabourforceparticip
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ProvinceDistrictDevelopmentexpendit
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Computing the indicesThe Human Deve
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Calculating the HDIThis illustratio
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Calculating the GDIAs an example, t
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Definitions of Statistical TermsAcc
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School drop-out rate: the proportio
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