The relationship between demographic factors and financial literacy
Adam Ndou ORCID ↗
International Journal of Research in Business and Social Science · 2023 · Vol. 12 / Issue 1 · 155-164
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 21 Oct 2026 07:22 UTC
Observed 22 Oct 2026 02:49 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
Recently, demographic factors that influence financial literacy have become increasingly important for policymakers than ever before. The primary purpose of this study was to establish the relationship between demographic factors and financial literacy among adults in a rural and low-income areas of South Africa. The objectives were to determine which gender uses a budget, which age cohort keeps copies of financial documents, which category of education level is saving for retirement, and the correlation between education level and saving for retirement. Descriptive statistics and correlation analysis were used to analysed data. The results showed that males used a budget more than females by a low margin. Adults struggled to keep copies of financial documents; however, adults between the ages of 41-50 kept copies of financial documents the most. Those with matric were better savers for retirement than other levels of education, besides the fact that most adults were not saving for retirement. The study also revealed a negative correlation between education level and retirement savings. Thus, the relationship between demographic factors and financial literacy was negative. The study concludes by suggesting interventions that could help adults improve their financial literacy and manage and sustain their financial well-being.
Keywords: {'name': 'Demographic factors'}, {'name': 'Financial literacy'}, {'name': 'Retirement saving'}, {'name': 'Budgeting'}
Authors & affiliations
Adam Ndou
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1007/s10834-006-9048-1
DOI: 10.1017/S1474747211000497
DOI: 10.1108/15265940911001402
DOI: 10.1016/j.iree.2016.10.001
Australia and New Zealand Banking Group (ANZ) survey. (2011). Adult financial literacy in Australia. The Social Research Centre. Available from: http://www.anz.com/resources/f/9/f9fc9800493e8ac695c3d7fc8cff90cd/2011-AdultFinancialLiteracyFull.pdf.pdf?CACHEID=f9fc9800493e8ac695c3d7fc8cff90cd [Accessed 14 July 2019]
Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.
DOI: 10.1111/j.1759-3441.2003.tb00337.x
Brunton, C. (2013). Financial knowledge and behaviour survey. Research paper. Available from: http://www.cflri.org.nz/sites/default/files/docs/FL-FinKnowBehavSurvey-Summary-Jun-2013.pdf [Accessed 13 May 2015].
DOI: 10.1017/S1474747211000485
DOI: 10.1177/0741713609358449
Chen, H., & Volpe, R.P. (2002). Gender differences in personal financial literacy among college students, Financial Services Review, 11(3): pp. 289-307.
DOI: 10.1016/S1057-0810(99)80006-7
DOI: 10.1111/j.1540-6261.2011.01696.x
DOI: 10.1016/j.econlet.2018.04.004
De Bondt, W., Muradoglu, G., Shefrin, H., & Staikouras, S.K. (2008). Behavioural finance: quo vadis?, Journal of Applied Finance, 18(2): 7-21.
DOI: 10.1080/23311975.2022.2077640
Fessler, P., Schurz, M., & Wagner, B. (2010). Financial capability of Austrian households. Monetary Policy and the Economy, 3(11), pp. 50-67.
Filipiak, U., & Walle, Y.M. (2015). The financial literacy gender gap: a question of nature or nurture? Discussion papers, No. 176. Courant Research Centre.
DOI: 10.2139/ssrn.1948627
Finmark Trust. (2015). Consumer financial vulnerability index. Available from: http://www.finmark.org.za/wp-content/uploads/brochure_CFVI.pdf [Accessed 12 May 2017].
DOI: 10.1111/j.1745-6606.2011.01221.x
DOI: 10.1080/10854667.2010.10854667
Garcia, R., & Tessada, J. (2013). The effect of education on financial market participation: evidence from Chile, Working paper, Santiago.
DOI: 10.1108/IJSE-11-2016-0303
Gitman, L., & Joehnk, M. (2008). Personal financial planning. 5th ed, Orlando: Dryden Press.
DOI: 10.1093/acprof:oso/9780199696819.003.0006
DOI: 10.1111/j.1745-6606.2012.01235.x
DOI: 10.1016/j.gfj.2013.07.002
Hogarth, J.M. (2002). Financial literacy and family, and consumer sciences. Journal of Family and Consumer Sciences, 94(1): pp. 14-28.
DOI: 10.2139/ssrn.1498674
DOI: 10.1111/j.1745-6606.2010.01170.x
Jariwala. H. (2013). To study the level of financial literacy and its impact on investment decision an in-depth analysis of investors in Gujarat state. PhD thesis. V.M Patel Institute of Management, Ganpat University: Ganpat Vidyanagar.
DOI: 10.1016/S0167-4870(03)00073-4
Kotze, L., & Smit, A. (2008). Personal finances: What is the possible impact on entrepreneurial activity in South Africa? South African Business Review, 12(3), pp. 156-172. https://doi/pdf/10.10520/EJC92875
DOI: 10.3386/w17821
DOI: 10.3386/w14084
DOI: 10.1017/S147474721100045X
DOI: 10.1257/aer.98.2.413
DOI: 10.1017/S1474747215000232
DOI: 10.1017/S1474747215000232
Mandell, L. (2008). The financial literacy of young American adults. Available from: www.jumpstart.org/assets/files/2008SurveyBook.pdf [Accessed 03 March 2018].
DOI: 10.25159/1998-8125/4443
Modigliani, F. (1986). Life cycle, thrift, and the wealth of nations, American Economic Review, 76(3): 297-313.
Momentum. (2022). Consumer financial vulnerability index. Available from: https://bmr.co.za/2022/10/19/consumer-financial-vulnerability-index-q3-2022/ [ Accessed 19 December 2022]
Murphy, A.J. (2005). Money, money, money: an exploratory study on the financial literacy of black college students, College Student Journal, 39(3): pp. 478-488.
National Credit Regulator (NCR). (2013). Consumer credit continues to grow. Available from: http://www.ncr.org.za/pressrelease/media%20Releases.pdf [Accessed 6 June 2017].
OECD. (2017). Measuring financial literacy-OECD. Available from: http://www.oecd.org/finance/financial-education/measuringfinancialliteracy.htm. [ Accessed February 2019].
DOI: 10.1787/9789264012578-en
DOI: 10.1016/j.jbef.2017.12.005
DOI: 10.1111/j.1745-6606.2010.01169.x
Rootman, C., Kruger, J., Bakhuis, S., & Fourie, J. (2014). Perceptions of financial planning: A comparison between two age groups. Journal of Contemporary Management, 11, 141-163.
DOI: 10.3389/fpsyg.2021.663254
DOI: 10.1111/j.1468-0297.2010.02394.x
DOI: 10.1016/j.joep.2011.02.004
Vygotsky, L.S. (1956). Thinking and speech: selected psychological studies, Moscow: Izdatel’stov APN RSFSR.
Worthington, A. (2006). Predicting financial literacy in Australia. Financial Services Review, 15: pp. 56-79.
DOI: 10.1596/1813-9450-6107
Yamane, T. (1967). Statistics: an introductory analysis, 2nd edition. New York: Harper and Row.
DOI: 10.2139/ssrn.1287296