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Factors Affecting Contraceptive Use in Sub-Saharan Africa (1993)

Chapter: Appendix B: Sample Sizes for the WFS and DHS Regional Files

« Previous: Appendix A: Adapting the Easterlin-Crimmins Synthesis Model to Sub-Saharan Conditions
Suggested Citation:"Appendix B: Sample Sizes for the WFS and DHS Regional Files." National Research Council. 1993. Factors Affecting Contraceptive Use in Sub-Saharan Africa. Washington, DC: The National Academies Press. doi: 10.17226/2209.
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Page 230
Suggested Citation:"Appendix B: Sample Sizes for the WFS and DHS Regional Files." National Research Council. 1993. Factors Affecting Contraceptive Use in Sub-Saharan Africa. Washington, DC: The National Academies Press. doi: 10.17226/2209.
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Page 231
Suggested Citation:"Appendix B: Sample Sizes for the WFS and DHS Regional Files." National Research Council. 1993. Factors Affecting Contraceptive Use in Sub-Saharan Africa. Washington, DC: The National Academies Press. doi: 10.17226/2209.
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Page 232

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Appendix B Sample Sizes for the WFS and DHS Regional Files Country Survey Sample Size Weighted Unweighted Region Benin WFS Self-weighting Botswana DHS Burundi DHS Cameroon WFS Cote d'Ivoire WFS 1,091 2,426 501 1,316 3,052 2,251 307 559 469 384 1,624 1,100 2,651 1,835 917 2,258 2,110 1,984 757 487 408 334 2,336 998 1,848 1,447 1,487 Self-weighting 1,092 2,341 1,1 13 740 475 230 Atacora, Borgou Central, South Cotonou Urban Rural Central plateau Imbo Lowlands (depressions) Mumirwa Mugamba Center-South, East Littoral, Southwest North West, Northwest Yaounde, Douala Abidjan Rural forest Rural savanna Urban forest Urban savanna

APPENDIX B Sample Size Country Survey Weighted Unweighted Region 231 Ghana DHSSelf-weighting856 Central, Western 1,301 Greater Accra, Eastern 500 Volta 1,323 Ashanti, Brong Ahafo 508 Northern, Upper WFSSelf-weighting921 Central, Western 1,740 Greater Accra, Eastern 599 Volta 1,959 Ashanti, Brong Ahafo 906 Northern, Upper (East and West) Kenya DHS554859 Nairobi 2,3892,179 Central, Eastern 1,5191,100 Rift Valley 498720 Coast 2,1892,292 Nyanza, Western WFS434700 Nairobi 2,6242,605 Central, Eastern 1,4791,506 Rift Valley 680648 Coast 2,8562,621 Western, Nyanza Lesotho WFS1,4571,483 Lowlands 1,9291,903 Other (Foothills, Orange River Valley, Mountains) Liberia DHS293920 Grand Gedeh 1,4591,060 Montserrado 150834 Since 3,3372,425 Remainder Mali DHS290503 Bamako 961830 Kayes, Koulikoro 703650 Mopti, Gao, Tombouctou 1,2461,217 Sikasso, Segou Nigeria DHSSelf-weighting4,213 Ondo State WFS2,3432,069 Northeast 2,2212,290 Northwest 3,1392,806 Southeast 2,0272,562 Southwest

232 FACTORS AFFECTING CONTRACEPTIVE USE Sample Size Country Survey WeightedUnweighted Region Senegal DHS Self-weighting1,528 Central 641 Northeast (Fleuve, Oriental) 573 South (Casamance) 1,673 West (Dakar, Thies) WFS Self-weighting1,551 Central 648 Fleuve, Oriental 544 Casamance 1,242 Dakar, Thies Sudan DHSSelf-weighting1,249 Khartoum (northern) 1,061 North, East 1,599 Central 1,951 Kordofan, Darfur WFS404580 Khartoum 716749 North, East 898807 Central 1,096979 Kordofan, Darfur Togo DHSSelf-weighting306 Central 1,501 Coastal (includes Lome) 409 Kara 767 Plateau 377 Savanna Uganda DHS265161 West Nile 1,304865 East 1,1771,392 Central 273166 West 1,4151,619 Southwest 296527 Kampala Zimbabwe DHSSelf-weighting379 Bulawayo 345 Harare/Chitungwiza 527 Manicaland 288 Mashonaland Central 543 Mashonaland East (except Harare/Chitungwiza) 495 Mashonaland West 497 Masvingo 189 Matabeleland North (except Bulawayo) 282 Matabeleland South 656 Midlands

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This book discusses current trends in contraceptive use, socioeconomic and program variables that affect the demand for and supply of children, and the relationship of increased contraceptive use to recent fertility declines.

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