Key Takeaways
- Financial illiteracy costs US households $1,819/year in poor decisions (2023 Wali).
- Globally, low financial literacy linked to 20% higher debt levels (OECD 2020).
- US: Financially illiterate 3x more likely to be unbanked (FDIC 2022).
- Women in the US are 20% less likely to be financially literate than men, per GFLEC-TIAA 2022.
- In the US, only 24% of Black adults are financially literate vs. 55% of White adults (FINRA 2022).
- Globally, women score 3-5% lower on financial literacy tests than men (S&P 2015).
- According to the S&P Global Financial Literacy Survey (2015), only 33% of adults worldwide are financially literate, correctly answering at least 3 out of 4 basic questions on risk diversification, inflation, numeracy, and compound interest.
- The OECD/INFE 2020 International Survey of Adult Financial Literacy found that 1 in 3 adults globally lacks basic financial literacy skills.
- A 2023 World Bank report indicates that financial literacy rates average below 40% in low- and middle-income countries.
- In the United States, the 2022 National Financial Capability Study by FINRA found that only 48% of adults are financially literate.
- UK's Money and Pensions Service 2023 survey shows 58% of adults have poor financial knowledge.
- Australia's 2023 ASIC MoneySmart report: 40% of population financially illiterate.
- Globally, 71% fail risk diversification question (S&P 2015).
- 65% worldwide misunderstand inflation impact (OECD/INFE 2020).
- Only 33% globally understand compound interest (S&P 2015).
Financial illiteracy harms households worldwide, costing money, increasing debt, and worsening wellbeing.
Consequences and Outcomes
Consequences and Outcomes Interpretation
Demographic Differences
Demographic Differences Interpretation
Global Prevalence
Global Prevalence Interpretation
National/Regional Statistics
National/Regional Statistics Interpretation
Specific Knowledge Deficiencies
Specific Knowledge Deficiencies Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Timothy Grant. (2026, February 13). Financial Illiteracy Statistics. Gitnux. https://gitnux.org/financial-illiteracy-statistics
Timothy Grant. "Financial Illiteracy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/financial-illiteracy-statistics.
Timothy Grant. 2026. "Financial Illiteracy Statistics." Gitnux. https://gitnux.org/financial-illiteracy-statistics.
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