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Estimating unmet need for contraception by district within Ghana: An application of small-area estimation techniques

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  • Fiifi Amoako Johnson
  • Sabu S. Padmadas
  • Hukum Chandra
  • Zoe Matthews
  • Nyovani J. Madise

Abstract

The importance of meeting the unmet need for contraception is nowhere more urgent than in the countries of sub-Saharan Africa, where the fertility decline is stalling and total unmet need exceeds 30 per cent among married women. In Ghana, where fertility levels vary considerably, demographic information at sub-national level is essential for building effective family planning programmes. We used small-area estimation techniques, linking data from the 2003 Ghana Demographic and Health Survey to the 2000 Ghana Population and Housing Census, to derive district-level estimates of contraceptive use and unmet need for contraception. The results show considerable variation between districts in contraceptive use and unmet need. The prevalence of contraceptive use varies from 4.1 to 41.7 per cent, while that of the use of modern methods varies from 4.0 to 34.8 per cent. The findings identify districts where family planning programmes need to be strengthened.

Suggested Citation

  • Fiifi Amoako Johnson & Sabu S. Padmadas & Hukum Chandra & Zoe Matthews & Nyovani J. Madise, 2012. "Estimating unmet need for contraception by district within Ghana: An application of small-area estimation techniques," Population Studies, Taylor & Francis Journals, vol. 66(2), pages 105-122, July.
    • Handle: RePEc:taf:rpstxx:v:66:y:2012:i:2:p:105-122
    DOI: 10.1080/00324728.2012.678585
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    References listed on IDEAS

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    1. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    2. Gabriel DEMOMBYNES & Chris ELBERS & Jean O. LANJOUW & Peter LANJOUW, 2008. "How Good is a Map? Putting Small Area Estimation to the Test," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(4), pages 465-493.
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    Cited by:

    1. Olfa Frini & Christophe Muller, 2017. "Fertility Regulation Behavior: Sequential Decisions in Tunisia," AMSE Working Papers 1739, Aix-Marseille School of Economics, France.
    2. Olfa Frini & Christophe Muller, 2021. "Fertility Regulation and Family Influence in Tunisia," AMSE Working Papers 2113, Aix-Marseille School of Economics, France, revised Aug 2021.
    3. Olfa Frini & Christophe Muller, 2021. "Revisiting Fertility Regulation and Family Ties in Tunisia," Working Papers halshs-03153584, HAL.
    4. Sumonkanti Das & Bappi Kumar & Luthful Alahi Kawsar, 2020. "Disaggregated level child morbidity in Bangladesh: An application of small area estimation method," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    5. Abhishek Singh & Ashish Kumar Upadhyay & Kaushalendra Kumar & Ashish Singh & Fiifi Amoako Johnson & Sabu S. Padmadas, 2022. "Spatial heterogeneity in son preference across India’s 640 districts: An application of small-area estimation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(26), pages 793-842.

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