Family Planning in Asia and the Pacific - International Council on ...
Family Planning in Asia and the Pacific - International Council on ... Family Planning in Asia and the Pacific - International Council on ...
TableTable8Percentage of
women with only primary education
- Page 47: dialogue as well as regional <stron
- Page 51: BackgroundGlobal development effort
- Page 54 and 55: TableTable1EventNational policyYear
- Page 56 and 57: A third observation is that reporte
- Page 58 and 59: TableTable2Current Contraceptive Pr
- Page 60 and 61: Figure(-1.2), Cook Island</
- Page 62: FigureTableTable3Trends in<
- Page 65 and 66: Nam. Nearly all economies i
- Page 67: 2008 2009% Bilateral % Multilateral
- Page 70 and 71: family planning wi
- Page 73 and 74: IntroductionFamily
- Page 75 and 76: The advent of the
- Page 77 and 78: FigureFigure1Oceania and</s
- Page 79 and 80: next 25 years, however, TFR fluctua
- Page 81 and 82: FigureFigureFigure2Total fertility
- Page 83 and 84: family planning pr
- Page 85 and 86: esponsible for the
- Page 87 and 88: that estimates of CPR for earlier p
- Page 90 and 91: Figuremarried at an older age compa
- Page 92 and 93: As previously mentioned most <stron
- Page 94 and 95: FigureFigure945Relationship between
- Page 96 and 97: The concept of “unmet need” has
- Page 100 and 101: TableTable9Percentage of reasons fo
- Page 102 and 103: family planning pr
- Page 104 and 105: As far as the supp
- Page 106 and 107: Socio-cultural challenges tofamily
- Page 108 and 109: likely to use contraception than yo
- Page 110 and 111: 15 Tests of statistical significanc
- Page 112 and 113: of the South <stro
- Page 114 and 115: 104
- Page 116: Figurewill exceed the</stro
- Page 119 and 120: in urban (67%) tha
- Page 121 and 122: ased service delivery poin<
- Page 123 and 124: Most FWAs who were recruited two to
- Page 125 and 126: are considered, unmet need for effe
- Page 127 and 128: Households pay the
- Page 129 and 130: Effective public-private partnershi
- Page 131 and 132: ConclusionThe Bangladesh Fa
- Page 133 and 134: the Family
- Page 135 and 136: National Institute for Population R
- Page 137 and 138: IndiaIndiaFamily <
- Page 139: IntroductionThe use of contraceptiv
- Page 142 and 143: TableTable2Indicators of tra<strong
- Page 144 and 145: FigureFigureFigure1Contraceptive pr
- Page 146 and 147: TableTable5Indicators of contracept
TableTable8Percentage of <str<strong>on</strong>g>the</str<strong>on</strong>g> total dem<str<strong>on</strong>g>and</str<strong>on</strong>g> for family plann<str<strong>on</strong>g>in</str<strong>on</strong>g>g that is satisfied <str<strong>on</strong>g>in</str<strong>on</strong>g> selected <str<strong>on</strong>g>Pacific</str<strong>on</strong>g> isl<str<strong>on</strong>g>and</str<strong>on</strong>g>countries, by socio-ec<strong>on</strong>omic characteristics (currently married women)*Variable Tuvalu 2007 Nauru 2007MarshallIsl<str<strong>on</strong>g>and</str<strong>on</strong>g>s 2007Solom<strong>on</strong>Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s 2007Samoa2009Kiribati2008Papua NewGu<str<strong>on</strong>g>in</str<strong>on</strong>g>ea 2006Age group15-19 -- -- 43.0 56.6 -- 5.0 37.020-24 46.3 42.5 68.8 62.9 35.2 37.6 44.225-29 54.7 51.6 81.7 62.8 37.4 47.0 41.830-34 49.8 62.7 86.4 71.0 45.4 45.3 41.435-39 61.2 68.7 95.4 84.0 42.7 51.8 36.240-44 62.0 -- 97.6 94.6 41.4 46.9 29.445-49 58.8 -- 100.0 98.5 30.7 41.5 16.315-49 55.8 60.3 84.6 75.6 38.6 44.2 36.5ResidenceUrban 54.5 na 85.4 78.1 39.9 38.0 42.8Rural 56.8 na 83.4 75.3 38.4 50.0 35.7Educati<strong>on</strong>No educati<strong>on</strong> na na -- 71.0 Na 100.0 23.9Primary or less 62.2 na 84.8 75.7 27.2 49.4 37.2Sec<strong>on</strong>dary 50.1 61.0 85.1 75.9 39.5 41.1 39.7More than sec<strong>on</strong>dary+57.7 -- 81.8 93.8 39.5 39.3 54.0WealthQu<str<strong>on</strong>g>in</str<strong>on</strong>g>tile 1 (highest) 56.9 57.1 87.7 84.6 46.1 40.2 naQu<str<strong>on</strong>g>in</str<strong>on</strong>g>tile 2 50.4 67.2 91.1 79.2 35.8 34.7 naQu<str<strong>on</strong>g>in</str<strong>on</strong>g>tile 3 55.5 49.9 82.8 70.3 37.7 43.0 naQu<str<strong>on</strong>g>in</str<strong>on</strong>g>tile 4 61.9 65.3 80.0 75.6 36.1 46.0 naQu<str<strong>on</strong>g>in</str<strong>on</strong>g>tile 5 (lowest) 53.0 64.1 75.4 70.0 37.6 57.0 naSource: DHS reports for specified countries.Note: -- means number <str<strong>on</strong>g>in</str<strong>on</strong>g> sample too small.*In Papua New Gu<str<strong>on</strong>g>in</str<strong>on</strong>g>ea, women who want more children are excluded from <str<strong>on</strong>g>the</str<strong>on</strong>g> calculati<strong>on</strong>.Unmet need <str<strong>on</strong>g>and</str<strong>on</strong>g> socio-ec<strong>on</strong>omicfactors at <str<strong>on</strong>g>the</str<strong>on</strong>g> microlevelIn <str<strong>on</strong>g>the</str<strong>on</strong>g> <str<strong>on</strong>g>Pacific</str<strong>on</strong>g>, unmet need by country am<strong>on</strong>g marriedwomen ranges from 7.7 per cent <str<strong>on</strong>g>in</str<strong>on</strong>g> Solom<strong>on</strong> Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s to45.6 per cent <str<strong>on</strong>g>in</str<strong>on</strong>g> Samoa (Table 7). Marshall Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s <str<strong>on</strong>g>and</str<strong>on</strong>g>Solom<strong>on</strong> Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s seem to be <str<strong>on</strong>g>in</str<strong>on</strong>g> a group of <str<strong>on</strong>g>the</str<strong>on</strong>g>ir own,with much lower levels of unmet need (8.1 <str<strong>on</strong>g>and</str<strong>on</strong>g> 7.7%,respectively) compared with <str<strong>on</strong>g>the</str<strong>on</strong>g> o<str<strong>on</strong>g>the</str<strong>on</strong>g>r countries. As alreadynoted, Solom<strong>on</strong> Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s has a low level of unmet needbecause fertility preferences rema<str<strong>on</strong>g>in</str<strong>on</strong>g> high. This may alsobe <str<strong>on</strong>g>the</str<strong>on</strong>g> case <str<strong>on</strong>g>in</str<strong>on</strong>g> Marshall Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s, although that country has<strong>on</strong>e of <str<strong>on</strong>g>the</str<strong>on</strong>g> highest CPRs <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> regi<strong>on</strong> (42.4%). Solom<strong>on</strong>Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s has <str<strong>on</strong>g>the</str<strong>on</strong>g> highest TFR <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> regi<strong>on</strong> but <str<strong>on</strong>g>the</str<strong>on</strong>g> lowestlevel of unmet need.Patterns of unmet need by age vary widely betweencountries. For several countries (Kiribati, Nauru <str<strong>on</strong>g>and</str<strong>on</strong>g>Samoa) <str<strong>on</strong>g>the</str<strong>on</strong>g>re are <str<strong>on</strong>g>in</str<strong>on</strong>g>sufficient married women aged 15-19<str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> sample to provide a valid measure of unmet need. InKiribati, Marshall Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s <str<strong>on</strong>g>and</str<strong>on</strong>g> Solom<strong>on</strong> Isl<str<strong>on</strong>g>and</str<strong>on</strong>g>s, this agegroup has <str<strong>on</strong>g>the</str<strong>on</strong>g> highest rate of unmet need. In <str<strong>on</strong>g>the</str<strong>on</strong>g> countrieswith low unmet need, <str<strong>on</strong>g>the</str<strong>on</strong>g> highest levels are found <str<strong>on</strong>g>in</str<strong>on</strong>g>younger age groups <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> lowest <str<strong>on</strong>g>in</str<strong>on</strong>g> older age groups.In Kiribati, Papua New Gu<str<strong>on</strong>g>in</str<strong>on</strong>g>ea, Samoa <str<strong>on</strong>g>and</str<strong>on</strong>g> Tuvalu <str<strong>on</strong>g>the</str<strong>on</strong>g>differences between age groups is not large. In Papua NewGu<str<strong>on</strong>g>in</str<strong>on</strong>g>ea <str<strong>on</strong>g>and</str<strong>on</strong>g> Samoa, <str<strong>on</strong>g>the</str<strong>on</strong>g> highest levels of unmet need are <str<strong>on</strong>g>in</str<strong>on</strong>g><str<strong>on</strong>g>the</str<strong>on</strong>g> 45-49 age group.A surpris<str<strong>on</strong>g>in</str<strong>on</strong>g>g f<str<strong>on</strong>g>in</str<strong>on</strong>g>d<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>in</str<strong>on</strong>g> Table 7 is that unmet need is similar<str<strong>on</strong>g>in</str<strong>on</strong>g> urban <str<strong>on</strong>g>and</str<strong>on</strong>g> rural areas with<str<strong>on</strong>g>in</str<strong>on</strong>g> countries. Although unmetneed is slightly higher <str<strong>on</strong>g>in</str<strong>on</strong>g> rural areas <str<strong>on</strong>g>in</str<strong>on</strong>g> four countries, <str<strong>on</strong>g>the</str<strong>on</strong>g>differences are small. In Kiribati <str<strong>on</strong>g>and</str<strong>on</strong>g> Tuvalu unmet need ishigher <str<strong>on</strong>g>in</str<strong>on</strong>g> urban than rural areas. The relati<strong>on</strong>ship betweeneducati<strong>on</strong> <str<strong>on</strong>g>and</str<strong>on</strong>g> unmet need is also quite different <str<strong>on</strong>g>in</str<strong>on</strong>g> eachcountry. The highest levels of unmet need are am<strong>on</strong>g88