Kebijakan Kependudukan Sumatera Selatan Berkaitan Hasil SDKI 2012

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  • 1. Survei tercepat yang pernah dilakukan2.Cakupan indikator paling lengkap, kependudukan, kesehatan, KB
  • Dasar pemilihannya adalah Blok Sensus cakupannya Kabupaten.
  • RT = untuk mengetahui latar belakang RTWUS = 15-49 tahun, perempuan yang menikah dan belum menikah
  • - 46.000 RT dapat diasumsi sampai tingkat provinsi, tapi ada beberapa variable yang tidak dapat dihitung, seperti kematian ibu

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  • 1. Disampaikan dalam Peluncuran Grand Design Pengendalian Kuantitas Penduduk, Palembang 23 Januari 2013 Oleh : DR. Wendy Hartanto Deputi Bidang Pengendalian Penduduk BKKBN
  • 2. SDKI ?salah satu survei sosial  kelahirankependudukan berkala  kematianyang mengumpulkan  prevalensi KB, danberbagai informasi :  kesehatan (khususnya reproduksi).telah diselenggarakan 7 1987 (SPI), 1991, 1994, 1997,kali : 2002/2003, 2007, dan 2012. survei serupa dilaksanakan di negara-bagian dari program negara Amerika Latin, Asia, Afrika, daninternasional Timur Tengah.
  • 3. Tahap II: Tahap III: Memilih sebuah BS Memilih 25 rumah Tahap I: dari setiap PSU tangga biasa di setiap BSMemilih sejumlah terpilih terpilih secara sistematikPrimary Sampling Unit (PSU) dari dari hasil pemutakhiranMaster Sample PSU rumah tangga (Daftar SDKI12-P)
  • 4. Pengumpulan Data: Wawancara Langsung kepala rumah tangga, suami/istri Daftar kepala rumah tangga, atau SDKI12- anggota rumah tangga (ART) RT dewasa lain yang paling mengetahui Daftar: SDKI12-WUS pada individu yang bersangkutan SDKI12- PK yang terpilih sebagai responden SDKI12-RP
  • 5. RT • Kepala Rumah Tangga (KRT) atau Anggota Rumah Tangga (ART) dewasa yang mewakili (Rumah Tangga) dan atau mengetahui keadaan rumah tangga WUS • semua responden wanita 15-49 tahun(Wanita Usia Subur) PK • responden pria 15-54 tahun berstatus (Pria Kawin) kawin/hidup bersama RP • responden remaja pria 15-24 tahun (Remaja Pria) berstatus belum kawin
  • 6. Mencakup 1.840seluruh provinsi blok sensusdi Indonesia (BS) biasa 1.840 x 25 = 25 46.000 rumah rumah tangga tangga biasa biasa per BS 55.200 13.248 23.000 responden responden PK responden RP WUS
  • 7. Merujuk kepada DHS Internasional Materipertanyaan pertanyaan pertanyaan SDKI12: SDKI07 baru (uji coba ketat)
  • 8. Pertanyaan Baru: Daftar Anggota Rumah Tangga :  Pertanyaan tentang status sekolah 5-24 tahun untuk tahun 2010/2011  Jenjang pendidikan yg pernah diduduki tahun ajaran 2010/2011  Keadaan Tempat Tinggal :  Merokok di dalam rumah  Letak sumber air minum • Kepemilikan lahan pertanian & luasnya  Jumlah kamar • Kepemilikan rekening bank Daftar Individu : • Tempat cuci tangan & kondisinya  Kepemilikan asuransi kesehatan  Pemberian suntikan oleh tenaga medis
  • 9. Pertanyaan yang dihapus dari SDKI 2007: Daftar Anggota Rumah Tangga :  Kelangsungan hidup orang tua untuk anak usia 0-14 tahun  Pemakaian kelambu
  • 10. SDKI 2007 SDKI 2012Rumah tangga sampel 42.341 46.024Rumah tangga ditemui 41.131 44.302Rumah tangga diwawancarai 40.701 43.852Response rate 99,0% 99,0%Wanita memenuhi syarat 34.227 47.533Wanita diwawancarai 32.895 45.607Response rate 96,1% 95,9%Pria memenuhi syarat 9.716 10.086Pria diwawancarai 8.758 9.306Response rate 90,1% 92,3%Remaja Pria memenuhi syarat 12.541 12.381Remaja Pria diwawancarai 10.830 10.980Respon rate 86,4% 88,7%
  • 11. Background Characteristics of Respondents (1)Percent distribution of women age 15-49 and married men age 15-54 by selected background characteristics Women Married menBackground characteristic Percent Number Percent NumberAge 15-19 15.2 6,927 0.3 28 20-24 13.8 6,305 3.7 345 25-29 15.3 6,959 12.1 1,127 30-34 15.1 6,876 18.0 1,674 35-39 15.1 6,882 19.1 1,775 40-44 13.7 6,252 18.2 1,693 45-49 11.9 5,407 14.7 1,371 50-54 - - 13.9 1,292Marital status Never married 21.7 9,919 - - Married 73.0 33,291 100.0 9,306 Living together 0.4 174 - - Divorced/separated 2.8 1,288 - - Widowed 2.1 935 - -Total 100.0 45,607 100.0 9,306
  • 12. Background Characteristics of Respondents (2)Percent distribution of women age 15-49 and married men age 15-54 by selected background characteristics Women Married menBackground characteristic Percent Number Percent NumberResidence Urban 52.2 23,805 50.9 4,739 Rural 47.8 21,802 49.1 4,567Education No education 3.3 1,500 2.9 265 Some primary 10.7 4,870 14.7 1,371 Completed primary 22.5 10,254 22.8 2,118 Some secondary 28.0 12,753 21.3 1,979 Secondary + 35.6 16,229 38.4 3,572Total 100.0 45,607 100.0 9,306Note: Education categories refer to the highest level of education attended, whether or not that level wascompleted.
  • 13. Trend TFR SDKI 1991-20123.5 3.0 2.93.0 2.8 2.6 2.6 2.62.52.01.51.00.50.0 SDKI 1991 SDKI 1994 SDKI 1997 SDKI 2002- SDKI 2007 SDKI 2012 2003
  • 14. Current Fertility RateAge-specific rates and total fertility rate, the general fertility rate, and the crudebirth rate for the three years preceding the survey, by residence, Indonesia Residence Total Age group Urban Rural 2007 2012 2007 2012 2007 2012 15-19 26 32 74 69 51 48 20-24 116 121 153 156 135 138 25-29 138 145 131 141 134 143 30-34 104 108 110 98 108 103 35-39 59 59 70 64 65 62 40-44 17 22 21 20 19 21 45-49 4 3 7 6 6 4 TFR 2.3 2.4 2.8 2.8 2.6 2.6 GFR 80.0 82.0 97.0 94.0 89.0 88.0 CBR 20.2 20.1 21.5 20.7 20.9 20.4Notes: Age-specific fertility rates are per 1,000 women. Rates for age group 45-49 may be slightly biased due to truncation. Rates are for the period 1-36months prior to interview.TFR: Total fertility rate expressed per womanGFR: General fertility rate expressed per 1,000 women age 15-44CBR: Crude birth rate, expressed per 1,000 population
  • 15. 160 145140 138 TFR Urban 2007 = 2.3 121120 TFR Urban 2012 = 2.4 108 116100 104 80 59 60 59 40 32 22 20 26 17 3 0 15-19 20-24 25-29 30-34 35-39 40-44 4 45-49 SDKI 2007 2012
  • 16. 180 156160 TFR Rural 2007 = 2.8 141140 153 TFR Rural 2012 = 2.8120 131 110100 9880 74 70 6960 6440 2120 20 7 0 6 15-19 20-24 25-29 30-34 35-39 40-44 45-49 SDKI 2007 SDKI2012
  • 17. 160140120100 80 60 40 20 0 15-19 20-24 25-29 30-34 35-39 40-44 45-49 SDKI 2007 SDKI2012
  • 18. Total Fertility Rate SDKI-2012 West Papua 3.7 West Sulawesi 3.6 Papua 3.5East Nusa Tenggara 3.3 Maluku 3.2 Central Sulawesi 3.2 North Maluku 3.1 West Kalimantan 3.1 Southeast Sulawesi 3.0 North Sumatera 3.0 Riau 2.9 East Kalimantan 2.8 Central Kalimantan 2.8West Nusa Tenggara 2.8 South Sumatera 2.8 West Sumatera 2.8 Aceh 2.8 Lampung 2.7 Indonesia 2.6 Gorontalo 2.6 South Sulawesi 2.6 North Sulawesi 2.6 Riau Islands 2.6 Bangka Belitung 2.6 South Kalimantan 2.5 Banten 2.5 Central Java 2.5 West Java 2.5 Bali 2.3 East Java 2.3 Jakarta 2.3 Jambi 2.3 Bengkulu 2.2 Yogyakarta 2.1 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0
  • 19. Fertility by Province (1)Total fertility rate for the three years preceding the survey, percentage of women age 15-49 currentlypregnant, and mean number of children ever born to women age 40-49 years, by province Mean number of children Percentage women age ever born to women ageProvince Total fertility rate 15-49 currently pregnant 40-49 2007 2012 2007 2012 2007 2012Sumatera DI Aceh 3.1 2.8 6.1 5.2 4.2 3.9 North Sumatera 3.8 3.0 3.6 5.8 4.7 4.0 West Sumatera 3.4 2.8 3.8 5.7 4.3 3.5 Riau 2.7 2.9 4.6 6.1 4.0 4.0 Jambi 2.8 2.3 5.3 5.3 3.6 3.4 South Sumatera 2.7 2.8 3.1 4.6 4.2 3.3 Bengkulu 2.4 2.2 3.9 6.1 4.0 3.5 Lampung 2.5 2.7 4.0 4.8 4.3 3.6 Bangka Belitung 2.5 2.6 5.5 4.3 4.2 3.5 Riau Islands 3.1 2.6 4.7 4.7 3.3 3.2Java DKI Jakarta 2.1 2.3 3.8 4.1 3.2 2.6 West Java 2.6 2.5 4.1 4.4 3.7 3.4 Central Java 2.3 2.5 3.5 4.0 3.3 2.8 DI Yogyakarta 1.8 2.1 4.4 3.4 2.5 2.3 East Java 2.1 2.3 2.6 2.9 2.8 2.6 Banten 2.6 2.5 3.4 3.7 4.6 3.8Bali and Nusa Tenggara Bali 2.1 2.3 3.5 3.1 2.5 2.5 West Nusa Tenggara 2.8 2.8 4.9 4.8 4.1 3.7 East Nusa Tenggara 4.2 3.3 6.2 6.2 4.2 4.2
  • 20. Fertility by Province (2) Mean number of children Percentage women age ever born to women ageProvince Total fertility rate 15-49 currently pregnant 40-49 2007 2012 2007 2012 2007 2012Kalimantan West Kalimantan 2.8 3.1 5.1 5.3 4.0 3.7 Central Kalimantan 3.0 2.8 7.1 5.5 3.6 3.6 South Kalimantan 2.6 2.5 5.7 3.8 3.7 3.2 East Kalimantan 2.7 2.8 5.7 5.2 3.7 3.4Sulawesi North Sulawesi 2.8 2.6 4.1 3.6 2.8 2.7 Central Sulawesi 3.3 3.2 4.0 5.3 3.9 3.9 South Sulawesi 2.8 2.6 4.1 3.9 3.7 3.3 Southeast Sulawesi 3.3 3.0 5.6 5.7 4.3 4.1 Gorontalo 2.6 2.6 3.8 4.1 3.2 3.4 West Sulawesi 3.5 3.6 6.3 4.6 4.4 4.3Maluku and Papua Maluku 3.9 3.2 5.1 4.5 4.4 4.2 North Maluku 3.2 3.1 6.5 5.3 4.3 4.0 West Papua 3.4 3.7 4.7 5.2 4.3 3.9 Papua 2.9 3.5 4.2 2.5 3.8 3.9Indonesia 2.6 2.6 3.9 4.3 3.5 3.2
  • 21. 2007 20124.0 3.83.5 3.4 3.1 3.1 33.0 2.9 2.8 2.8 2.8 2.8 2.7 2.7 2.7 2.6 2.6 2.5 2.52.5 2.4 2.3 2.22.01.51.00.50.0 DI Aceh North West Riau Jambi South Bengkulu Lampung Bangka Riau Sumatera Sumatera Sumatera Belitung Islands
  • 22. 3.50 3.203.00 2.93 2.77 2.59 2.46 2.442.502.001.501.000.500.00 No Education Some Primary Completed Some Completed Total Primary Secondary Secondary and Higher
  • 23. Knowledge of ContraceptivePercentage of currently married women age 15-49 know any contraceptive method by backgroundcharacteristics, Indonesia Any method Any modern method Any traditional methodBackgroundcharacteristic 2007 2012 2007 2012 2007 2012Age 15-19 97.2 96.8 97.0 96.8 24.8 40.3 20-24 98.9 98.4 98.7 98.3 42.5 54.4 25-29 99.1 99.2 98.8 99.1 51.8 63.9 30-34 99.3 99.4 99.0 99.4 53.9 66.8 35-39 99.1 99.3 98.9 99.3 52.3 64.1 40-44 98.1 99.1 97.8 99.1 48.5 60.3 45-49 96.7 98.5 96.3 98.4 41.0 51.8Residence Urban 99.5 99.8 99.5 99.8 63.0 71.7 Rural 97.9 98.3 97.5 98.2 38.0 49.7Education No education 91.9 86.7 89.5 86.0 16.9 14.2 Some primary 97.3 98.3 97.0 98.3 25.9 34.8 Completed primary 98.9 99.4 98.8 99.3 37.6 46.9 Some secondary 99.5 99.6 99.5 99.6 53.8 62.7 Secondary + 99.9 99.9 99.8 99.9 79.9 84.7Total 98.6 99.0 98.3 98.9 48.4 60.5
  • 24. Current Use of ContraceptivePercent distribution of currently married women by contraceptive method currently used, according tobackground characteristics, Indonesia Any method Any modern method Any traditional methodBackground characteristic 2007 2012 2007 2012 2007 2012Age 15-19 46.8 48.1 46.2 47.6 0.7 0.4 20-24 61.5 60.5 59.9 59.3 1.6 1.3 25-29 64.1 63.6 60.7 60.4 3.2 3.1 30-34 69.1 65.7 64.7 61.8 4.2 3.9 35-39 68.6 68.1 63.0 62.7 5.3 5.4 40-44 59.6 65.2 54.6 59.5 4.6 5.7 45-49 42.1 45.8 38.2 41.6 3.4 4.2Residence Urban 62.5 62.1 57.1 57.0 5.3 5.1 Rural 60.6 61.6 57.5 58.7 3.0 3.0Education No education 42.3 43.4 40.1 41.8 2.2 1.7 Some primary 54.0 53.4 51.5 50.8 2.6 2.6 Completed primary 64.0 65.7 61.1 63.7 2.9 2.0 Some secondary 65.5 67.4 61.4 63.9 4.1 3.5 Secondary + 64.4 60.0 57.8 53.3 6.6 6.7Living Children 0 8.3 6.5 7.9 6.2 0.4 0.3 1-2 68.1 67.1 64.3 63.2 3.7 3.9 3-4 67.7 69.7 62.5 64.6 5.2 5.1 5+ 46.7 51.7 41.5 46.3 5.2 5.4Total 61.4 61.9 57.4 57.9 4.0 4.0
  • 25. Current Use of Contraceptive by Province (1)Percent distribution of currently married women by contraceptive method currently used, according toprovince, Indonesia Any traditionalProvince Any method Any modern method method 2007 2012 2007 2012 2007 2012Sumatera DI Aceh 47.4 46.8 45.4 44.4 2.0 2.4 North Sumatera 54.2 55.9 42.6 42.8 11.5 13.1 West Sumatera 59.9 56.9 52.8 50.2 7.2 6.7 Riau 56.7 61.1 52.8 54.0 4.0 7.1 Jambi 65.2 66.9 62.5 62.0 2.7 4.8 South Sumatera 64.8 67.6 62.6 64.4 2.1 3.2 Bengkulu 74.0 64.2 70.4 61.2 3.6 3.0 Lampung 71.1 70.3 66.0 66.3 5.0 4.0 Bangka Belitung 67.8 69.6 64.7 65.3 3.1 4.2 Riau Islands 57.6 53.1 54.0 48.0 3.5 5.1Java DKI Jakarta 60.1 57.3 56.4 53.4 3.7 3.9 West Java 61.1 62.2 60.3 60.3 0.8 1.9 Central Java 63.7 65.2 60.0 61.5 3.8 3.7 DI Yogyakarta 66.9 69.9 54.8 59.6 12.0 10.3 East Java 66.1 65.3 62.3 62.4 3.8 2.8 Banten 57.4 64.0 55.4 61.3 2.0 2.7Bali and Nusa Tenggara Bali 69.4 66.2 65.4 59.6 4.0 6.6 West Nusa Tenggara 54.8 56.0 52.2 55.1 2.7 1.0 East Nusa Tenggara 42.1 47.9 30.1 38.3 12.0 9.6
  • 26. Current Use of Contraceptive by Province (2) Any traditionalProvince Any method Any modern method method 2007 2012 2007 2012 2007 2012Kalimantan West Kalimantan 62.7 65.1 61.2 63.9 1.5 1.1 Central Kalimantan 66.5 67.3 65.2 64.8 1.3 2.5 South Kalimantan 64.4 68.3 63.2 66.4 1.2 1.9 East Kalimantan 59.2 60.1 55.4 54.1 3.9 5.9Sulawesi North Sulawesi 69.3 68.9 66.7 63.7 2.6 5.2 Central Sulawesi 63.6 55.7 59.8 52.5 3.8 3.3 South Sulawesi 53.4 55.8 42.9 47.5 10.5 8.4 Southeast Sulawesi 50.7 51.5 44.4 48.4 6.2 3.0 Gorontalo 60.1 63.2 58.8 61.5 1.4 1.7 West Sulawesi 45.4 52.2 44.5 48.0 0.9 4.1Maluku and Papua Maluku 34.1 45.5 29.4 40.4 4.8 5.1 North Maluku 48.8 53.7 46.2 51.1 2.5 2.6 West Papua 39.6 42.5 37.5 41.0 2.1 1.5 Papua 38.3 21.8 24.5 19.1 13.8 2.6Indonesia 61.4 61.9 57.4 57.9 4.0 4.0
  • 27. CPR any method Lampung 70.3 Yogyakarta 69.9 Bangka Belitung 69.6 North Sulawesi 68.9 South Kalimantan 68.3 South Sumatera 67.6 Central Kalimantan 67.3 Jambi 66.9 Bali 66.2 East Java 65.3 Central Java 65.2 West Kalimantan 65.1 Bengkulu 64.2 Banten 64.0 Gorontalo 63.2 West Java 62.2 Indonesia 61.9 Riau 61.1 East Kalimantan 60.1 Jakarta 57.3 West Sumatera 56.9West Nusa Tenggara 56.0 North Sumatera 55.9 South Sulawesi 55.8 Central Sulawesi 55.7 North Maluku 53.7 Riau Islands 53.1 West Sulawesi 52.2 Southeast Sulawesi 51.5East Nusa Tenggara 47.9 Aceh 46.8 Maluku 45.5 West Papua 42.5 Papua 21.8 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0
  • 28. CPR any modern method South Kalimantan 66.4 Lampung 66.3 Bangka Belitung 65.3 Central Kalimantan 64.8 South Sumatera 64.4 West Kalimantan 63.9 North Sulawesi 63.7 East Java 62.4 Jambi 62.0 Gorontalo 61.5 Central Java 61.5 Banten 61.3 Bengkulu 61.2 West Java 60.3 Bali 59.6 Yogyakarta 59.6 Indonesia 57.9West Nusa Tenggara 55.1 East Kalimantan 54.1 Riau 54.0 Jakarta 53.4 Central Sulawesi 52.5 North Maluku 51.1 West Sumatera 50.2 Southeast Sulawesi 48.4 West Sulawesi 48.0 Riau Islands 48.0 South Sulawesi 47.5 Aceh 44.4 North Sumatera 42.8 West Papua 41.0 Maluku 40.4East Nusa Tenggara 38.3 Papua 19.1 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0
  • 29. IUD Bali 19.0 Yogyakarta 13.6 Jakarta 6.2 North Sulawesi 5.1 East Java 5.0East Nusa Tenggara 4.4 West Java 4.1 Indonesia 3.9West Nusa Tenggara 3.8 Jambi 3.7 Central Java 3.6 West Sumatera 3.6 Banten 3.5 Gorontalo 3.4 Bengkulu 3.4 Central Sulawesi 3.1 Lampung 2.7 East Kalimantan 2.6 Riau Islands 2.6 North Sumatera 2.1 Aceh 2.1 Riau 1.9 South Sumatera 1.6 Southeast Sulawesi 1.3 South Kalimantan 1.3 West Kalimantan 1.3 North Maluku 1.2 South Sulawesi 1.1 Bangka Belitung 1.1 Central Kalimantan 0.8 Papua 0.6 West Sulawesi 0.6 Maluku 0.5 West Papua 0.2 0.0 5.0 10.0 15.0 20.0
  • 30. Pill South Kalimantan 26.7 West Sulawesi 24.5 Central Kalimantan 23.7 Central Sulawesi 20.5 Bangka Belitung 20.2 North Sulawesi 19.5 East Kalimantan 19.0 Jambi 18.8 Gorontalo 16.7 West Java 16.6 West Kalimantan 15.6 Southeast Sulawesi 15.1 East Java 14.7 Lampung 14.4 Riau Islands 14.2 South Sulawesi 13.8 Indonesia 13.6 Riau 13.6 Banten 13.0 Jakarta 13.0 Bengkulu 11.1 North Sumatera 10.8 Yogyakarta 10.4 West Papua 10.2 Central Java 10.1 West Sumatera 9.6 Aceh 9.6 South Sumatera 9.5 Bali 9.0 North Maluku 8.3West Nusa Tenggara 7.1 Maluku 5.9East Nusa Tenggara 4.4 Papua 3.6 0.0 5.0 10.0 15.0 20.0 25.0 30.0
  • 31. Inject- ables South Sumatera 43.7 West Kalimantan 43.2 Lampung 41.2 Banten 38.1 Bangka Belitung 37.4West Nusa Tenggara 36.8 Central Kalimantan 35.8 East Java 34.7 Central Java 33.9 South Kalimantan 33.5 West Java 33.4 Bengkulu 32.9 Jambi 32.9 Indonesia 31.9 Aceh 30.0 North Maluku 29.2 Riau 29.1 West Sumatera 27.9 South Sulawesi 27.8 North Sulawesi 27.2 Jakarta 26.4 Maluku 26.3 East Kalimantan 25.7 Gorontalo 24.6 Southeast Sulawesi 23.9 Central Sulawesi 23.4 West Papua 23.2 Riau Islands 22.8 Yogyakarta 22.6 Bali 21.6East Nusa Tenggara 20.0 West Sulawesi 18.8 North Sumatera 18.3 Papua 10.0 0.0 10.0 20.0 30.0 40.0 50.0
  • 32. Implants Gorontalo 13.7 Bengkulu 9.0 North Maluku 8.9 North Sulawesi 8.8 Southeast Sulawesi 6.2 Maluku 5.8 Central Java 5.8 South Sumatera 5.6West Nusa Tenggara 5.4 Lampung 5.3East Nusa Tenggara 4.5 Jambi 4.3 West Sumatera 4.2 Yogyakarta 3.8 Indonesia 3.3 Papua 3.2 Central Sulawesi 3.1 East Java 3.1 North Sumatera 3.1 West Papua 2.9 Riau Islands 2.8 Riau 2.8 Central Kalimantan 2.6 Bangka Belitung 2.4 West Sulawesi 2.3 South Sulawesi 2.3 South Kalimantan 2.0 East Kalimantan 1.9 Banten 1.9 West Java 1.4 Jakarta 1.4 West Kalimantan 1.0 Bali 0.7 Aceh 0.6 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0
  • 33. Male condom Yogyakarta 5.4 Bali 2.9 Central Java 2.9 Jakarta 2.8 Riau 2.7 Banten 2.4 Riau Islands 2.4 East Kalimantan 2.2 Bangka Belitung 2.2 Bengkulu 2.2 West Sumatera 1.9 North Sumatera 1.9 Indonesia 1.8 South Kalimantan 1.6 West Java 1.5 Lampung 1.5 South Sumatera 1.4 Jambi 1.4 East Java 1.3 Aceh 1.2 North Maluku 1.0 South Sulawesi 0.8 West Kalimantan 0.8 West Sulawesi 0.7 North Sulawesi 0.6 Central Kalimantan 0.6 West Papua 0.5East Nusa Tenggara 0.5West Nusa Tenggara 0.5 Southeast Sulawesi 0.3 Central Sulawesi 0.2 Gorontalo 0.1 Papua 0.0 Maluku 0.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0
  • 34. TFR Scatter Plot TFR and CPR Any Method4.0 y = -0.027x + 4.412 R² = 0.498 West Papua West Sulawesi Papua3.5 East Nusa Tenggara Maluku Central Sulawesi North Maluku West Kalimantan3.0 Southeast Sulawesi North Sumatera West Sumatera Riau Central Kalimantan Aceh South Sumatera West Nusa Tenggara East Kalimantan Lampung Gorontalo Riau Islands Indonesia North Sulawesi Bangka Belitung South Sulawesi2.5 West Java South Kalimantan Banten Central Java Bali Jakarta East Java Jambi Bengkulu Yogyakarta2.01.5 Percentage CPR any method 15 25 35 45 55 65 75
  • 35. Need and demand for family planning (OLD METHOD)Percentage of currently married women age 15-49 Total met need for Total unmet need for Total demand for Percentage of family planningBackground characteristic family planning family planning demand satisfied (currently using) 2007 2012 2007 2012 2007 2012 2007 2012Age 15-19 9.8 7.1 46.8 48.1 56.6 55.1 82.7 87.2 20-24 9.8 8.1 61.5 60.5 71.5 68.6 86.3 88.2 25-29 9.6 8.3 64.1 63.6 74.0 71.9 87.1 88.4 30-34 9.2 8.4 69.1 65.7 78.5 74.1 88.3 88.6 35-39 9.5 8.4 68.6 68.1 78.4 76.5 87.9 89.0 40-44 9.6 9.6 59.6 65.2 69.2 74.7 86.1 87.2 45-49 6.0 8.5 42.1 45.8 48.2 54.2 87.5 84.4Residence Urban 8.8 8.9 62.5 62.1 71.5 71.0 87.7 87.4 Rural 9.2 8.2 60.6 61.6 70.0 69.8 86.8 88.3Education No education 10.6 8.9 42.3 43.4 53.0 52.4 80.0 83.0 Incomplete primary 9.4 9.8 54.0 53.4 63.6 63.2 85.2 84.5 Completed secondary 9.0 8.1 64.0 65.7 73.2 73.8 87.7 89.0 Some secondary 9.2 7.5 65.5 67.4 74.9 74.9 87.8 90.1 Secondary + 8.4 9.1 64.4 60.0 72.9 69.1 88.5 86.8Total 9.1 8.5 61.4 61.9 70.6 70.4 87.2 87.9
  • 36. Need and demand for family planning (NEW METHOD)Percentage of currently married women age 15-49 Total met need for Total unmet need for Total demand for Percentage of family planningBackground characteristic family planning family planning demand satisfied (currently using) 2012 2012 2012 2012Age 15-19 6.7 48.1 54.7 87.8 20-24 8.3 60.5 68.8 88.0 25-29 8.9 63.6 72.5 87.7 30-34 9.7 65.7 75.4 87.1 35-39 11.2 68.1 79.3 85.9 40-44 14.9 65.2 80.0 81.4 45-49 16.3 45.8 62.0 73.8Residence Urban 11.8 62.1 73.9 84.0 Rural 10.9 61.6 72.6 84.9Education No education 13.5 43.4 56.9 76.4 Some primary 14.4 53.4 67.8 78.7 Completed secondary 11.4 65.7 77.1 85.2 Some secondary 9.7 67.4 77.1 87.5 Secondary + 11.2 60.0 71.2 84.2Total IDHS 2012 11.4 61.9 73.2 84.5Total IDHS 2007 13.1 61.4 74.5 82.4
  • 37. Early Childhood Mortality RatesNeonatal, post-neonatal, infant, child, and under-five mortality rates for five-year periods preceding the survey, IndonesiaYears Neonatal mortality Postneonatal Infant mortality Child mortality Under-five mortalitypreceding Approximate (NN) mortality (PNN) ( 1q 0) ( 4q 1) ( 5q 0) calendar yearthe survey 2007 2012 2007 2012 2007 2012 2007 2012 2007 20120-4 2003-2007 19 19 15 13 34 32 10 9 44 405-9 1998-2002 23 20 20 15 44 35 15 11 58 4510-14 1988-1997 28 23 25 21 53 45 16 14 69 581 Computed as the difference between the infant and neonatal mortality rates
  • 38. Early Childhood Mortality Rates by Province (1) Neonatal, postneonatal, infant, child, and under-five mortality rates for the 10-year period preceding the survey, by province, Indonesia Neonatal Postneonatal Infant mortality Child mortality Under-five mortalityProvince mortality (NN) mortality (PNN) ( 1q 0) ( 4q 1) ( 5q 0 ) 2007 2012 2007 2012 2007 2012 2007 2012 2007 2012Sumatera DI Aceh 14 28 11 18 25 47 21 6 45 52 North Sumatera 24 26 22 14 46 40 22 15 67 54 West Sumatera 34 17 13 10 47 27 16 7 62 34 Riau 28 15 8 9 37 24 11 4 47 28 Jambi 23 16 15 18 39 34 9 3 47 36 South Sumatera 25 20 17 8 42 29 11 9 52 37 Bengkulu 17 21 29 8 46 29 20 7 65 35 Lampung 27 20 16 10 43 30 13 8 55 38 Bangka Belitung 20 20 19 7 39 27 8 6 46 32 Riau Islands 18 21 25 13 43 35 16 8 58 42
  • 39. Early Childhood Mortality Rates by Province (2) Neonatal, postneonatal, infant, child, and under-five mortality rates for the 10-year period preceding the survey, by province, Indonesia Neonatal Postneonatal Infant mortality Child mortality Under-five mortalityProvince mortality (NN) mortality (PNN) ( 1q 0) ( 4q 1) ( 5q 0) 2007 2012 2007 2012 2007 2012 2007 2012 2007 2012Java DKI Jakarta 15 15 13 7 28 22 9 10 36 31 West Java 19 17 19 13 39 30 10 9 49 38 Central Java 14 22 12 10 26 32 6 7 32 38 DI Yogyakarta 15 18 3 7 19 25 3 5 22 30 East Java 21 14 14 15 35 30 10 4 45 34 Banten 25 23 21 9 46 32 13 7 58 38Bali and Nusa Tenggara Bali 14 18 19 11 34 29 4 4 38 33 West Nusa Tenggara 34 33 38 24 72 57 21 18 92 75 East Nusa Tenggara 31 26 26 19 57 45 24 14 80 58
  • 40. Early Childhood Mortality Rates by Province (3) Neonatal, postneonatal, infant, child, and under-five mortality rates for the 10-year period preceding the survey, by province, Indonesia Neonatal Postneonatal Infant mortality Child mortality Under-five mortalityProvince mortality (NN) mortality (PNN) ( 1q 0) ( 4q 1) ( 5q 0) 2007 2012 2007 2012 2007 2012 2007 2012 2007 2012Kalimantan West Kalimantan 23 18 23 13 46 31 14 6 59 37 Central Kalimantan 13 25 17 24 30 49 4 8 34 56 South Kalimantan 39 30 19 14 58 44 19 13 75 57 East Kalimantan 16 12 11 9 26 21 12 10 38 31Sulawesi North Sulawesi 24 23 11 9 35 33 9 4 43 37 Central Sulawesi 28 26 31 32 60 58 10 28 69 85 South Sulawesi 22 13 19 12 41 25 12 13 53 37 Southeast Sulawesi 16 25 25 20 41 45 21 10 62 55 Gorontalo 22 26 31 41 52 67 18 11 69 78 West Sulawesi 46 26 27 34 74 60 25 11 96 70
  • 41. Early Childhood Mortality Rates by Province (4) Neonatal, postneonatal, infant, child, and under-five mortality rates for the 10-year period preceding the survey, by province, Indonesia Neonatal Postneonatal Infant mortality Child mortality Under-five mortalityProvince mortality (NN) mortality (PNN) ( 1q 0) ( 4q 1) ( 5q 0) 2007 2012 2007 2012 2007 2012 2007 2012 2007 2012Maluku and Papua Maluku 25 24 34 12 59 36 37 24 93 60 North Maluku 32 37 19 24 51 62 24 25 74 85 West Papua 21 35 16 39 36 74 26 38 62 109 Papua 24 27 17 27 41 54 25 64 64 115
  • 42. Maternal Care Indicators Percentage with Percentage whose antenatal care last live birth was Percentage Percentage from a skilled protected against Number of delivered by a delivered in a Number ofBackground characteristic provider 1 neonatal tetanus 2 women skilled provider health facility birthsMothers age at birth <20 94.7 57.1 1,328 75.3 53.3 1,526 20-34 96.1 61.2 11,045 84.2 64.3 12,757 35+ 94.3 58.6 2,409 82.5 62.6 2,665Residence Urban 98.2 61.4 7,358 91.8 79.8 8,405 Rural 93.3 59.5 7,424 74.6 46.5 8,543Mothers education No education 64.0 29.7 274 31.8 21.1 365 Some primary 88.5 46.9 1,242 61.1 37.8 1,457 Completed primary 94.0 59.2 3,516 72.8 47.0 3,976 Some secondary 97.4 63.4 3,965 85.7 60.8 4,438 Secondary + 98.6 63.5 5,786 95.1 81.8 6,712 Total IDHS 2012 95.7 60.4 14,782 83.1 63.0 16,948 Total IDHS 2007 93.3 73.0 14,043 73.0 46.1 16,5041 Skilled provider includes general practitioner, obstetrician, nurse, midwife and village midwife2 Includes mothers with two injections during the pregnancy of her last live birth, or two or more injections (the last within 3 years ofthe last live birth), or three or more injections (the last within 5 years of the last live birth), or four or more injections (the last within tenyears of the last live birth), or five or more injections at any time prior to the last live birth
  • 43. Maternal Care Indicators by Province Indicator INDONESIA Highest % Lowest %Percentage with antenatal 95.7 BALI 99.3 PAPUA 57.8care from a skilled providerPercentage whose last live WEST NUSA NORTHbirth was protected against 60.4 79.5 23.0 TENGGARA SUMATERAneonatal tetanusPercentage delivered by a BALI & 83.1 98.7 PAPUA 39.9skilled provider DKI JAKARTAPercentage delivered in a WEST 63.0 BALI 97.6 16.2health facility SULAWESI
  • 44. Vaccinations by Background CharacteristicsPercentage of children age 12-23 months who received specific vaccines at any time before the survey All basic vaccinations All basic No vaccina- Percentage with a Number ofBackground characteristic excluding Hepatitis B 2 vaccinations 1 tions vaccination card childrenSex Male 66.1 41.8 7.1 42.0 1,714 Female 65.0 38.8 7.8 40.2 1,619Residence Urban 69.4 42.1 4.3 42.8 1,624 Rural 61.9 38.6 10.4 39.5 1,709Education No education 22.7 9.2 39.3 14.1 53 Some primary 44.2 26.0 19.1 32.5 219 Completed primary 60.0 37.4 8.6 42.9 770 Some secondary 65.2 41.4 7.1 41.1 939 Secondary + 74.2 44.8 3.8 42.5 1,352 Total IDHS 2012 65.6 40.3 7.4 41.1 3,333 Total IDHS 2007 58.6 - 8.6 36.8 3,0941 BCG, measles, Hepatitis B and three doses each of DPT and polio vaccine excluding polio 42 BCG, measles, three doses each of DPT and polio vaccine excluding polio 4 and Hepatitis B
  • 45. Vaccinations by Province Indicator INDONESIA Highest % Lowest %All basic vaccinations DI 65.6 93.5 PAPUA 34.0excluding Hepatitis B YOGYAKARTA DIAll basic vaccinations 40.3 76.2 BENGKULU 13.8 YOGYAKARTA DINo Vaccinations 7.4 PAPUA 38.4 0.0 YOGYAKARTAPercentage with vaccination DI 41.1 69.4 PAPUA 16.7card YOGYAKARTA
  • 46. Breastfeeding Status by AgePercent distribution of youngest children under two years who are living with their mother Number of Percentage youngest Number of all currently children Percentage children Not Exclusively breast- under two using a bottle under two Age in months breastfeeding breastfed feeding years with a nipple years 0-1 3.9 50.8 96.1 458 30.3 464 2-3 6.4 48.9 93.6 552 27.4 557 4-5 12.5 27.1 87.5 583 28.7 593 6-8 12.8 3.4 87.2 907 30.1 939 9-11 20.4 1.1 79.6 899 41.3 914 12-17 25.4 1.0 74.6 1,635 39.6 1,681 18-23 40.3 0.7 59.7 1,558 42.8 1,652 <4 5.3 49.8 94.7 1,010 28.7 1,021 <6 7.9 41.5 92.1 1,593 28.7 1,614 6-9 13.8 2.7 86.2 1,182 32.4 1,216 12-15 22.8 1.2 77.2 1,128 37.5 1,151 12-23 32.7 0.9 67.3 3,193 41.2 3,333 20-23 44.7 0.9 55.3 1,040 45.5 1,113
  • 47. Exclusively BreastfedPresentage of Children under 6 Months of Age Who are Exclusively Breastfed and Bottlefed
  • 48. SubNo. KAB/KOTA Desa KEC. PPKBD PLKB PLKB/DESA PPKBD SUMSEL 3.229 224 3.180 13.918 633 1: 5
  • 49. MINI SURVEI 2011: penggunaan kontrasepsi menurut Kelompok UsiaIbu Jenis alat/cara KB Umur Implan/ Wanita IUD/ spiral MOW MOP susuk Suntikan Pil Kondom Total PROVINSI 15-19 0 0 0 1 29 2 1 33SUMATERA 0.0% 0.0% 0.0% 0.1% 0.8% 0.1% 1.4% 0.5% SELATAN 20-24 1 2 1 26 277 109 1 417 0.6% 3.2% 7.7% 3.6% 7.3% 8.0% 1.4% 6.8% 25-29 11 2 0 86 690 209 13 1,011 6.9% 3.2% 0.0% 11.8% 18.3% 15.4% 18.6% 16.4% 30-34 29 9 4 133 817 287 13 1,292 18.1% 14.5% 30.8% 18.2% 21.7% 21.1% 18.6% 21.0% 35-39 30 12 4 188 882 318 13 1,447 18.8% 19.4% 30.8% 25.8% 23.4% 23.4% 18.6% 23.5% 40-44 44 17 3 147 587 226 14 1,038 27.5% 27.4% 23.1% 20.2% 15.6% 16.6% 20.0% 16.8% 45-49 45 20 1 148 488 207 15 924 28.1% 32.3% 7.7% 20.3% 12.9% 15.2% 21.4% 15.0% TOTAL 160 62 13 729 3,770 1,358 70 6,162 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%1) Terrllihat bahwa pengunaan kontrasepsi nonMKJP tetap populer dikelompok usia tua (kebijakan MKJP untuk “stopping” tdk tampak)  promosi kontrasepsi sesuai kebutuhhan (penundaan; penjarangan; berhenti hamil perlu digalakkan2) Penggunaan kontrasepsi Suntikan dan Pil sangat populer  sangat berresiko untuk wilayah yang akssnya sulit karena frekuensi ulangannya penndek, juga mempertimbangkan keberadaan/jumlah petuugas dan kader KB yang ada di wilayah ybs
  • 50. MINI SURVEI 2011: Anak Lahir Hidup menurut Kelompok Usia Ibu Anak Lahir Hidup PROVINSI Umur wanita Total 0 1 2 3+SUMATERA SELATAN 15-19 56 50 2 0 108 51.9% 46.3% 1.9% 0.0% 100.0% 20-24 150 446 103 22 721 20.8% 61.9% 14.3% 3.1% 100.0% 25-29 99 699 686 123 1,607 6.2% 43.5% 42.7% 7.7% 100.0% 30-34 75 415 802 477 1,769 4.2% 23.5% 45.3% 27.0% 100.0% 35-39 33 157 633 916 1,739 1.9% 9.0% 36.4% 52.7% 100.0% 40-44 30 88 357 908 1,383 2.2% 6.4% 25.8% 65.7% 100.0% 45-49 15 65 208 822 1,110 1.4% 5.9% 18.7% 74.1% 100.0% Total 458 1,920 2,791 3,268 8,437 5.4% 22.8% 33.1% 38.7% 100.0%1) Terrllihat bahwa banak kelompok usia remaja yang telah memiliki anak (48,2%)  yg seharusnya menunda kehamilan (prolonnged honneymooor program perlu dipromosikan)2) Keompok usia tua 40-44 (65,7%) dan 45-49 (74,1%) terlihat banyak yang memiliki anak 3+  program stopping dan proomosi dua anak cukup perlu ditingkatkan di lni lapangan
  • 51. SDKI 1991 -2012: CPR menurut Jenis Kontrasepsi ModernTAHUN PIL IUD SUNTIK KOND IMPL MOW MOP TOTAL cara modern1991 37.75 19.10 23.82 2.02 9.66 7.64 0.00 100.0% 44.61994 39.12 9.78 21.76 2.59 19.96 5.99 0.80 100.0% 50.11997 28.94 5.49 38.83 1.65 17.22 7.88 0.00 100.0% 54.82002 16.89 4.10 51.54 0.85 18.60 7.85 0.17 100.0% 58.62007 16.11 1.44 70.33 0.80 7.66 3.67 0.00 100.0% 62.6 2012 14.7% 2.5% 67.8% 2.1% 8.6% 4.1% 0.1% 100.0% 64,4
  • 52. SDKI 1991 -2012: CPR menurut Jenis Kontrasepsi Modern1) Terlihat bahwa trend MKJP, Pil dan kondom relatif menurun proporsi penggunanya (bergeser ke penggunaan kontrasepsi Suntikan)  shifting kearah MKJP dg KIE dan promosi “kontrasepsi untuk penundaan, penjarangan, stopping” perlu ditingkatkan2) Peningkatan CPR tidak memberikan makna terhadap upaya penurunan fertilitas (TFR naik dari 2,7 di thn 2007 menjadi 2,8 di tahun 2012)  pembinaan PA menjadi penting untuk menurunkan angka DO3) Indikasi kenaikan pengguna IUD besar kemungkinan disebabkan karena kebijakan untuk mengarahkan pd MKJP akhir-akhr ini  pembinaan providers untuk melayani IUD perlu digalakkan, KB pasca persalinan, Tim Jaga Mutu, mengarahkan pada akkses pelayanan statis ((bukan momentum) perlu menjadi kebijakan strategis
  • 53. 1.78% Abstinensi 5.49% 5.32% Menopause+tdk subur 16.70% Ingin anak banyak Kepercayaan+menolak 40.38%10.14% Masalah kesehatan Takut efek samping 8.27% Tidak nyaman+jadi 11.92% gemuk/kurus Lainnya
  • 54. •Kurang disiplin penggunaan kontrasepsi, sehinggamengakibatkan DO karena kurangnya kualitaspelayanan ulangan•Tingginya penggunaan suntikan yang sangat populerdi semua kelompok umur, dibandingkan dengan alatkontrasepsi lainnya.•48 % PUS usia remaja (15 – 19 th ) telah memilikianak•PUS usia 35 – 39 relatif memiliki anak 3 atau lebih•Jumlah PLKB 633 dibanding dengan desa 3.229sehingga rasio PLKB per desa 1:5
  • 55. • Mapping segmentasi sasaran• Intensifikasi Penggarapan program Kependudukan dan KB di daerah tertinggal dan terpencil (Pelayanan KB di wilayah khusus selain Galciltas dan kumuh juga (Daerah aliran sungai/DAS ) termasuk penggarapan Penduduk tidak tercatat, KB Perkotaan dan KB Perusahaan• Peningkatan peran tokoh masyarakat dan tokoh agama dalam sosialisasi Program KKB dan pelembagaan NKKBS • Peningkatan AKSES DAN KUALITAS pelayanan statis Integrasi pelayanan KB melalui Jampersal (prioritas pada MKJP) Peningkatan peran RS melalui fungsi Pelayanan KB Rumah Sakit (PKBRS)
  • 56. • Pendekatan akses pelayanan KB kepada klien KB (Tim KB keliling) dan pembinaan Peserta KB aktif;• Peningkatan pembinaan ketahanan keluarga dan Pemberdayaan Ekonomi Keluarga melalui pengembangan BKB, BKR, BKL dan UPPKS serta mengembangkan Pusat Pelayanan Keluarga Sejahtera (PPKS).• Peningkatan penggarapan pemuda dan remaja melalui Generasi Berencana (Genre) dalam Pendewasaan Usia Perkawinan dan Penurunan fertilitas usia muda (15-19 tahun). (GENRE goes to school / campus, pramuka, organisasi kepemudaan)
  • 57. Simple framework fertility ProximateExplanatory Determinant/ variables Intermediate Fertility variables
  • 58. Explanatory variables Sosial ekonomi Lingkungan Bio-sosial characteritics Atitude berkaitan dng ukuran, struktur dan formasi keluargaAtitude dan pengetahuan terhadap kontrasepsi
  • 59. Proximate Determinant/ Intermediate variablesProporsi wanita kawinPola kegiatan sexualPola menyusuiKontrasepsiAborsiTingkat keguguranTingkat kesuburan
  • 60. Proximate Determinant/ Intermediate variablesProporsi wanita kawinPola kegiatan sexualPola menyusuiKontrasepsiAborsiTingkat keguguranTingkat kesuburan
  • 61. MMR per 100.000 kelahiran, Tahun 2010 Greece Belarus Japan Czech Republic Netherlands Norway Australia Montenegro France Macedonia United Kingdom Serbia Kuwait Croatia Luxembourg MMR Negara Asean Iran Grenada Chile Albania Malaysia Oman Singapore = 3 Sri Lanka Costa Rica Trinidad and Tobago Brunei Darussalam = 24Saint Vincent and Grenadines Barbados Brazil Mauritius Malaysia = 48 Jordan Tajikistan Peru Vietnam = 59 Sao Tome and Pincipe Argentina Dem. People Rep. of Korea Philippines = 99 Colombia Algeria Morocco Myanmar = 200 Vanuatu Ecuador Dominican Rep. Indonesia Indonesia = 220 Bhutan Namibia Djibouti 220 Cambodia = 250 Gabon Equatorial Guinea Pakistan Lao = 470 Togo Burkina Faso Rwanda Ethiopia Gambia Zambia Malawi Mozambique Democratic Rep. Congo Niger Nigeria Liberia Sierra Leone Chad UNFPA, WHO, Unicef, World Bank Estimates 2012 0 200 400 600 800 1000 1200
  • 62. TERIMA KASIH