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B. Plenary session• For the calculation of life expectancy rate at kabupatenlevel, it is advisable to use data from kabupaten/kotasurvey, but the samples need to be expanded.• The calculation of index rate is greatly influenced bythe maximum and minimum score.- In certain conditions, UNDP standard is to be used.- In other conditions, Indonesian standard is to beused.• For education, why using only maximum score of 15,and what does the data imply?• More appropriate sanitation concept is if themeasurement is related to the place for final disposal ofsolid waste.• According to the international standard, the termmorbidity refers not only to a complaint of pain andinhibition of the activity, but also the need to diagnosisthe illness.• Long and healthy life should be measured not only bythe life expectancy, but also by the state of prime health.HDI definition should be better described, because thechange in the in HDI is very small. Human developmentshould have a more sensitive variable to showconsiderable changes.• There needs to be consideration of the presentation oftables compared each year, and if necessary the newkabupaten is returned to its original kabupaten.• Actually, HDI context is very wide, but the data to beaccommodated in the HDI are not available.• It is recommended that the presentation of BPS dataare adjusted to the schedule of Regional Budget (APBD).C. Overall resume• The editing needs to be reviewed in the aspects ofconcept, calculation method, and titles on the table.• Data accuracy, time comparison and consistency amongtables, and relevance of indicators by territory need tobe considered.• Time reference and data source are to be presentedcompletely.• Technical notes are to be completely described,concerning the pluses and minuses of the methodologyand data.• Interpretation of the indices needs to be provided.• HDI results are to be socialized first.• In addition to the data in education and health fields,otherhealth indicators such as TBC, HIV, AIDS, etc need tobe included. If the data are available, additionalinformation on special group such as street kids andpreschooler should be included.· For the indicators to reflect the condition in the field,more Susenas samples are necessary, or a special surveythrough Suseda.D. Data sourcesThe data used in the calculation of human developmentindicators are mainly from the National SocioeconomicSurvey (Susenas). Additionally, other sources are usedsuch as the population census, financial statistics of theprovincial government year 1999-2002 (K-1 list) andkabupaten/kota (K-2 list). The following table providesinformation on some indicators used for humandevelopment, along with the data sources.Table 1 - Sources of dataNo.IndicatorData sourceRemarks(1)(2)(3)(4)A Education1 Literacy Rate (AMH) Susenas,2002 processed2 Schooling average (MYS) Susenas,2002 processed3 School Participation Rate (APS) Susenas,2002 processed4 Drop-out Rate (DO) Susenas,2002 processedBHealth5 Life Expectancy at Birth (e 0) SP’71, SP’80, SP’90,Supas’95, SP’2000 processed6 Infant Mortality Rate (IMR) SP’71, SP’80, SP’90,Supas’95, SP’2000 processed7 People estimated to live under 40 years of age SP’71, SP’80, SP’90,Supas’95, SP’2000 processed8 Percentage of population with a health complaint Susenas,2002 processed9 Percentage of diseased people (morbidity) Susenas,2002 processed10 Average sick period Susenas,2002 processed88National Human Development Report 2004
11 Percentage of people with self-treatment Susenas,2002 processed12 Percentage of births aided by medical staff Susenas,2002 processed13 Percentage of malnourished children under five Susenas,2002 processed14 Percentage of households with access to clean water sources Susenas,2002 processed15 Percentage of households with a brick-floored house Susenas,2002 processed16 Percentage of people without access to the health facilities Susenas,2002 processed17 Percentage of households without access to sanitation Susenas,2002 processedCManpower18 Population proportion Susenas,2002 processed19 Work Force Participation Rate Susenas,2002 processed20 Workers with < 14 working hours per week Susenas,2002 processed21 Workers with < 35 working hours per week Susenas,2002 processed22 Worker’s average wage in non-agricultural sectors Susenas,2002 processed23 Women having professional, technical, leadership and management careers Susenas,2002 processed24 Women in work force Susenas,2002 processed25 Women in the parliament DPR, DPRD I/II Compilation26 Workers in informal sectors Susenas,2002 Processed27 Contribution to income Susenas,2002 Obtained fromcalculationD Poverty Susenas,200228 Total expense per capita (Rp) Susenas,2002 Processed29 Percentage of expense per capita for food Susenas,2002 Processed30 Adjusted real expense per capita (Rp) Susenas,2002 Obtained fromcalculation31 Poverty line (Rp/capita/month) Susenas,2002 Obtained fromcalculation32 The number of poor people Susenas,2002 Obtained fromcalculation33 Poverty rate (%) Susenas,2002 Obtained fromcalculationE Economy34 Real GRDP per capita with oil and gas Gross Regional CompilationProduct perkabupaten/kota35 Real GRDP per capita without oil and gas Gross Regional CompilationProduct perkabupaten/kotaFFinancing Human development36 expenditures on public % of state expenditures Financial statistic Calculationof kabupaten/kota,provincialgovernment37 expenditures on social service % of public expenditures Financial statistic Calculationof kabupaten/kota,provincialgovernment38 expenditures on social service priority % to social expenditures Financial statistic Calculationof kabupaten/kota,provincialgovernmentNational Human Development Report 2004 89
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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
Page 49 and 50: expenditure. In practice, it would
Page 51 and 52: Table 4.2 - Provincial breakdown of
Page 53 and 54: administration, plus an allowance f
Page 55 and 56: Figure 4.5 - Ratio of salaries of p
Page 57 and 58: Appendix to Chapter 4Health and edu
Page 59 and 60: The third is the ‘Special Fund’
Page 61 and 62: Chapter 5Rethinking fiscal prioriti
Page 63 and 64: At the very outset, however, it sho
Page 65 and 66: enforcement particularly for person
Page 67 and 68: Another risk from decentralization
Page 69 and 70: Box 5.2 - Variations in poverty con
Page 71 and 72: physical security - which contribut
Page 73 and 74: centre, for example, played a signi
Page 75 and 76: BibliographyAbidin, A. (2002), 1 st
Page 77 and 78: LPEM-FEUI (2004), Draft Final Repor
Page 79 and 80: Subbarao, K., A. Bonnerjee, J. Brai
Page 81 and 82: HUMAN DEVELOPMENT INDICATORS AND IN
Page 83 and 84: The human development approach brin
Page 85 and 86: Box 2HDI, HPI-1, GDI and GEMHuman D
Page 87 and 88: What do the human developmentindice
Page 89 and 90: Table 1 - Districts making the grea
Page 91 and 92: Table 2 - Districts with the highes
Page 93 and 94: Figure 8 - GDI by province, 1999-20
Page 95 and 96: Figure 12 - HPI by components, 1999
Page 97 and 98: Technical workshopon human developm
Page 99: • The percentage of households wi
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
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ProvinceDistrictParticipationof wom
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ProvinceDistrictPeople notexpected
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ProvinceDistrictInfantmortalityrate
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ProvinceDistrictSchool Participatio
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ProvinceDistrictHouseholds withacce
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ProvinceDistrictReal per capita GRD
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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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