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Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity, Illustrations with Nigeria

Author

Listed:
  • Nnamdi Ifeanyi Maduekwe

    (National Population Commission)

  • Olufunmilayo O. Banjo

    (Obafemi Awolowo University)

  • Mike O. Sangodapo

    (National Population Commission)

Abstract

Three issues impinging on the potential use of Civil Registration and Vital Statistics (CRVS) data for the Sustainable Development Goals (SDGs) are analysed in the paper. These include CRVS data relevance, content and data production capacity of CRVS systems. The paper adopts a ‘data type’ approach to relevance and capacity and proposes two metrics based on a graded qualitative evaluation (GQE) methodology. One is a data-relevance metric for evaluating the relevance of CRVS data types to the SDGs. The second is a National Statistical Systems (NSS) data type production capacity metric used for evaluating the data production capacity of CRVS systems. CRVS data instrument analysis and the CRVS data production capacity are exemplified with the Nigerian CRVS system. Relevance assessment results suggest that CRVS systems can provide data relevant to 25% of the SDGs. However the SDG data contribution of CRVS depends on the ‘data type’ capacity of National CRVS systems. As the capacity assessment shows, the Nigerian CRVS system has ‘nominal’ capacity to produce all CRVS data types (fertility, mortality, migration, nuptiality and socio-economic) and ‘active’ and ‘latent’ capacities to provide data for some 21 SDG targets. However, it currently lacks ‘effective’ capacity to produce any of the data types for the SDGs. The paper has implications for goal setting and prioritization in evolving strategies to enhance the development of CRVS/NSS systems’ data capacities, especially in developing countries.

Suggested Citation

  • Nnamdi Ifeanyi Maduekwe & Olufunmilayo O. Banjo & Mike O. Sangodapo, 2018. "Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity, Illustrations with Nigeria," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 101-124, November.
    • Handle: RePEc:spr:soinre:v:140:y:2018:i:1:d:10.1007_s11205-017-1760-8
    DOI: 10.1007/s11205-017-1760-8
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    References listed on IDEAS

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    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Simon Lewin & Claire Glenton & Heather Munthe-Kaas & Benedicte Carlsen & Christopher J Colvin & Metin Gülmezoglu & Jane Noyes & Andrew Booth & Ruth Garside & Arash Rashidian, 2015. "Using Qualitative Evidence in Decision Making for Health and Social Interventions: An Approach to Assess Confidence in Findings from Qualitative Evidence Syntheses (GRADE-CERQual)," PLOS Medicine, Public Library of Science, vol. 12(10), pages 1-18, October.
    3. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969.
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    Cited by:

    1. Idongesit Eshietand Grace Udoyen, 2023. "Socio-Cultural Context and Civil Registration of Under-Five Children in Akwa Ibom State of Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(10), pages 836-847, October.
    2. Nnamdi Maduekwe & Mike O. Sangodapo & Aisha Abdulazeez & Olufunmilayo Banjo, 2023. "Use of standard verbal autopsies to improve the mortality data capacity of civil registration and vital statistics systems in low- and middle-income countries: Analysis of key issues," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(10), pages 219-248.

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