# Research: South Africa — Intergenerational Wealth Transmission, Inheritance & the Racial Wealth Gap ## Summary South Africa exhibits some of the highest wealth inequality ever measured: the top 10% own ~86% of all wealth (2017), the bottom 50% have negative net worth, and the wealth Gini is estimated at 0.83–0.95 depending on methodology. The racial wealth gap is extreme — the typical Black household owns only ~5% of the wealth of the typical White household — and inheritance is overwhelmingly concentrated: only 3% of Black adults own inheritable wealth ≥ R250,000 vs 45% of White adults. Intergenerational earnings elasticity is estimated at 0.57–0.67, meaning roughly three-fifths of parental earnings advantage is transmitted to sons. "Black tax" — upward financial transfers from working-age Black South Africans to family — operates as a reverse intergenerational flow, with ~20% of Black households sending remittances. --- ## Verified Items ### Wealth Inequality in South Africa, 1993–2017 - **Source:** World Bank Economic Review (Chatterjee, Czajka & Gethin) - **URL:** - **Published:** 2021-06-29 (World Bank Economic Review, Vol. 36, No. 1, pp. 19–36, 2022) - **Validity:** Peer-reviewed study - **Summary:** This landmark study combines tax microdata (covering the universe of income tax returns), household surveys, and SARB macroeconomic balance sheets to estimate the distribution of personal wealth in South Africa from 1993 to 2017. It documents unparalleled levels of wealth concentration with no sign of decreasing inequality since the end of apartheid. The authors note that wealth concentration within each age group is almost identical to the full population, pointing to the importance of inherited wealth as a driver. - **Key data points (time-referenced):** - 2017: Top 10% of adults own 85.6% of aggregate wealth; top 1% own 54.7%; top 0.1% own 29.8%; top 0.01% (3,500 individuals) own 14.9% — more than the bottom 90% as a whole (14.4%) - 2017: Bottom 50% of adults have negative net worth (–2.5% of total wealth); average wealth of bottom 50% is –R16,000 (2018 rands) - 2017: Top 1% owns 95.2% of all bonds and corporate shares; bottom 50% owns 0% - 1993–2017: Top 10% wealth share fluctuated between 80% and 90% with no long-run downward trend - 1993–2017: Top 1% wealth share grew from 54% to 57%; top 0.1% share grew from 22% to 31% - 2017: Top 10% own 99.8% of bonds and stock; 62.7% of currency; 58.8% of housing wealth; 63.8% of pensions/life insurance ### Wealth Inequality – Insights from Survey and Tax Data - **Source:** Econ3x3 / REDI3x3 (Anna Orthofer, Stellenbosch University) - **URL:** - **Published:** 2016-07-24 - **Validity:** Institutional report (working paper summary) - **Summary:** Orthofer's pioneering study uses a 20% sample of personal income tax (PIT) records for 2010–2011, combined with NIDS Wave 2 data, to estimate wealth inequality. She finds wealth is far more concentrated than income, with the top 10% owning at least 90–95% of all assets. The estate duty is noted as generating only 0.1% of total tax revenue, highlighting the weak taxation of intergenerational wealth transfers. - **Key data points (time-referenced):** - 2010–2011: Wealth Gini coefficient estimated at 0.9–0.95 (income Gini ~0.7) - 2010–2011: Top 10% own at least 90–95% of all wealth; bottom 50% own no measurable wealth - 2010–2011: Middle 40% of income distribution earn 30–35% of income but own only 5–10% of wealth - 2010–2011: Estate duty generates only 0.1% of total tax revenue - 2010–2011: More than 80% of the adult population receives too little income to be in the personal income tax system ### The Distribution of Household Wealth in South Africa Using NIDS Wave 5 - **Source:** Department of Planning, Monitoring and Evaluation (DPME) / NIDS (Daniels & Khan) - **URL:** - **Published:** 2018 (NIDS Wave 5, data collected 2017/18) - **Validity:** Institutional report - **Summary:** This paper analyzes nationally representative wealth data from NIDS Wave 5, including household assets, liabilities and net worth. It finds extreme inequality in asset and debt distribution, with the top decile owning 72.7% of all assets. The wealth Gini for net worth is 0.83, significantly higher than the income Gini of 0.61. Financial asset inequality is exceptionally high at 0.97. - **Key data points (time-referenced):** - 2017/18: Net worth Gini coefficient = 0.83 (down from 0.90 in 2014/15); income Gini = 0.61 - 2017/18: Financial assets Gini = 0.97 - 2017/18: Median household derived net worth = R20,516; mean = R665,699 (weighted) - 2017/18: Top asset decile owns 72.7% of total assets (median value R2,534,540); bottom decile owns 0.07% - 2017/18: Only 48.6% of households report positive net worth; 25.1% break even; 3.5% in debt; 21.6% don't know ### The Racial Wealth Gap in South Africa and the United States - **Source:** Review of Political Economy (Chelwa, Maboshe & Hamilton) - **URL:** - **Published:** 2024-03-08 (Review of Political Economy, Vol. 36, No. 2, pp. 423–440) - **Validity:** Peer-reviewed study - **Summary:** This study compares the Black–White racial wealth gap in South Africa to the well-documented gap in the United States. It finds strikingly similar patterns: the typical Black South African household owns only 5% of the wealth held by the typical White household, compared to 6% in the US. The racial wealth gap persists at different levels of education and income in both countries, suggesting structural rather than individual determinants. - **Key data points (time-referenced):** - 2024 (data referenced): Typical Black South African household owns 5% of the wealth held by the typical White household - 2024 (data referenced): Typical Black US household owns 6% of the wealth held by the typical White household - 2024 (data referenced): Racial wealth gap exists at different levels of education and income in both countries ### Inherited Wealth in Post-Apartheid South Africa: New Perspectives from Probate Records - **Source:** LSE International Inequalities Institute Working Paper (Simson & Mahmoudzadeh) - **URL:** - **Published:** 2024 (LSE III Working Paper No. 146) - **Validity:** Institutional report - **Summary:** This study uses novel probate records to estimate the scale of the racial wealth divide in South Africa 30 years after apartheid. It finds that 45% of White South African adults own inheritable wealth of at least R250,000, compared to only 3% of Black adults. The gaps narrowed only modestly between 2009 and 2019. Black South Africans leaving estates are primarily township dwellers, suggesting limited integration into the historically White-owned asset stock. - **Key data points (time-referenced):** - 2009–2019: 45% of White SA adults own inheritable wealth ≥ R250,000 vs 3% of Black, 9% of Coloured, 23% of Asian/Indian adults - 2009–2019: Gaps in inheritable wealth ownership narrowed only modestly over the decade - 2009–2019: 42% of Black estate holders were resident in former apartheid-era townships at death; 17% in former Homelands ### Intergenerational Earnings Mobility and Equality of Opportunity in South Africa - **Source:** World Development / SALDRU (Piraino) - **URL:** - **Published:** 2015-03 (World Development, Vol. 67, pp. 396–405) - **Validity:** Peer-reviewed study - **Summary:** Piraino uses NIDS (2008–2012) and the 1993 PSLSD to estimate the intergenerational earnings elasticity (IGE) in South Africa via a two-sample two-stage least squares method. He finds high earnings persistence: the IGE ranges from 0.57 to 0.67 depending on specification, meaning roughly three-fifths of the earnings advantage of fathers is transmitted to sons. Race is shown to play a significant role in explaining earnings inequality among male adults. - **Key data points (time-referenced):** - 2008–2012 (data): Intergenerational earnings elasticity (IGE) estimated at 0.605 (father's education only), 0.624 (education & province), 0.672 (education, occupation & province), 0.570 (education & occupation) - 2008–2012 (data): About three-fifths of the earnings advantage of South African fathers is passed on to their sons - 2001 (earlier estimate): Hertz estimated IGE of 0.44 for South Africa from KwaZulu-Natal data (not nationally representative) ### Patterns of Persistence: Intergenerational Mobility and Education in South Africa - **Source:** SALDRU Working Paper 175 (Finn, Leibbrandt & Ranchhod) - **URL:** - **Published:** 2016-08 (updated version 3: 2017-10) - **Validity:** Institutional report - **Summary:** Using NIDS Waves 1–4 (2008–2014/15) and the 1993 PSLSD, this paper investigates the shape of the association between parental and child earnings in South Africa. The correlation is strongest at the ends of the earnings distribution. Correcting for selection into employment (critical in SA's high-unemployment context) increases the intergenerational elasticity by approximately 10%. Education accounts for approximately 40% of the total intergenerational earnings elasticity, with the strongest impact at the bottom of the distribution. - **Key data points (time-referenced):** - 2008–2014/15 (data): Correcting for selection into employment increases the intergenerational earnings elasticity by ~10% - 2008–2014/15 (data): Education accounts for ~40% of the total intergenerational earnings elasticity - 2008–2014/15 (data): Parent-child earnings correlation is strongest at the top and bottom of the earnings distribution ### How the Legacy of Apartheid Geography Shapes Housing Wealth - **Source:** Econ3x3 (Jana & Ranchhod, SALDRU/UCT) - **URL:** - **Published:** 2026-06-23 - **Validity:** Institutional report - **Summary:** Using NIDS panel data from 2008 to 2017, this study examines how apartheid-era spatial segregation continues to shape housing wealth accumulation. Over 90% of individuals from marginalised groups remain in areas historically designated for their race. Housing accounts for 40–65% of total household assets, but state-provided housing in peripheral locations functions as "spatial traps" rather than wealth-building assets. The absolute gap in housing wealth between white and African urban residents has widened dramatically over the decade. - **Key data points (time-referenced):** - 1994–2018: Top 10% held ~85% of total household wealth throughout the period; top 1% share reached 55% in 2017 - 2008: Average white imputed rent in urban formal areas = R2,740 vs R461 for African-occupied dwellings (ratio ~6:1) - 2017: Average white imputed rent = R9,424 vs R1,627 for African-occupied dwellings (absolute gap widened) - 2008–2017: Over 90% of individuals from marginalised groups remained in areas historically designated for their race; ~94% of tribal authority area residents stayed - 1913/1950: Natives Land Act (1913) and Group Areas Act (1950) systematically locked out Black South Africans from land/property ownership in urban centres ### SA's Wealth Inequality Has Increased Significantly Over Past Two Decades — UBS Report - **Source:** UBS Global Wealth Report 2023 (reported via Daily Maverick) - **URL:** - **Published:** 2023-08-16 - **Validity:** Institutional report - **Summary:** The UBS (formerly Credit Suisse) Global Wealth Report 2023 provides internationally comparable wealth Gini coefficients. South Africa's wealth Gini rose to 88.8 (on a 0–100 scale) at end-2022, up from 80.4 in 2000, making it the highest among selected markets, above Brazil at 88.4. Financial assets make up 69.2% of gross assets in South Africa (vs 68.1% in 2000), relatively stable composition. - **Key data points (time-referenced):** - 2000: South Africa wealth Gini = 80.4 (on 0–100 scale) - 2022: South Africa wealth Gini = 88.8 (on 0–100 scale), highest among selected markets (Brazil = 88.4) - 2000–2022: Financial assets as share of gross assets remained relatively stable: 68.1% (2000) → 69.2% (2022) ### Davis Tax Committee Wealth Tax Report — Estate Duty and Wealth Tax Feasibility - **Source:** Davis Tax Committee / Helen Suzman Foundation overview - **URL:** - **Published:** 2018 (DTC report); HSF brief 2018 - **Validity:** Official statistics (government committee report) - **Summary:** The Davis Tax Committee's 2018 report on the feasibility of a wealth tax in South Africa highlights the structural barriers to taxing wealth. South Africa's wealth-to-income ratio is ~240%, lower than wealthy nations (400–700%), limiting potential wealth tax revenue. Estate duty is the only existing tax on wealth itself. Retirement funds (~R2.2 trillion) constitute roughly a quarter of total household wealth holdings (~R9.5 trillion). The estate duty rate is 20% on the dutiable amount above a R3.5 million abatement, rising to 25% on estates above R30 million (since 2018). - **Key data points (time-referenced):** - 2018: South Africa's wealth-to-income ratio ~240% (vs 400–700% in wealthy nations) - 2018: Retirement funds ~R2.2 trillion ≈ ~25% of total household wealth (~R9.5 trillion) - 2018: Estate duty rate increased from 20% to 25% on dutiable amounts above R30 million - 2010–2011: Estate duty generates only 0.1% of total tax revenue (per Orthofer 2016) - 2018: R3.5 million estate duty abatement per estate --- ## Sources - **Kept:** Chatterjee, Czajka & Gethin (2021) WBER — foundational wealth distribution estimates combining tax + survey + macro data - **Kept:** Orthofer (2016) Econ3x3 — first use of PIT data for wealth inequality in SA; accessible summary of REDI3x3 working paper - **Kept:** Daniels & Khan (2018) NIDS Wave 5 — official NIDS wealth module analysis with Gini coefficients - **Kept:** Chelwa, Maboshe & Hamilton (2024) ROPE — direct comparison of SA and US racial wealth gaps - **Kept:** Simson & Mahmoudzadeh (2024) LSE — novel probate records data on inheritable wealth by race - **Kept:** Piraino (2015) World Development — specific IGE estimates for SA (0.57–0.67) - **Kept:** Finn, Leibbrandt & Ranchhod (2016/2017) SALDRU — selection-corrected IGE and role of education - **Kept:** Jana & Ranchhod (2026) Econ3x3 — apartheid geography and housing wealth dynamics 2008–2017 - **Kept:** Whitelaw & Branson (2020) SALDRU — quantitative data on "black tax" remittance flows - **Kept:** UBS Global Wealth Report 2023 (via Daily Maverick) — internationally comparable wealth Gini trend - **Kept:** Davis Tax Committee / HSF (2018) — estate duty structure and wealth tax feasibility - **Dropped:** SARS Tax Statistics PDF — could not fetch (404); estate duty revenue data partially available via Orthofer's 0.1% figure - **Dropped:** Stats SA General Household Survey — does not contain wealth/inheritance modules - **Dropped:** Credit Suisse Global Wealth Databook 2022 — PDF too large; key Gini data captured via Daily Maverick summary ## Gaps - **Estate duty revenue totals by year:** Could not access SARS Tax Statistics PDF for specific estate duty revenue collected per fiscal year. Orthofer's 0.1% of total tax revenue figure (2010–2011) is the best available proxy. The actual rand amount is unconfirmed. - **Share of households receiving inheritances:** No nationally representative survey directly asks about inheritance receipt rates in SA. The Simson probate study provides the closest proxy (share of adults with inheritable wealth ≥ R250,000) but is not the same as inheritance receipt. - **Average bequest size in SA:** No verified data found on average bequest/inheritance amounts received by households. - **Inter vivos transfers data:** Limited quantitative data on inter vivos (living) transfers from parents to children in SA; the "black tax" literature focuses on upward transfers, not downward wealth gifts. - **Wealth Gini from Chatterjee et al.:** The paper provides top wealth shares but does not explicitly state a Gini coefficient. The UBS report (0.888 in 2022) and Orthofer (0.9–0.95) and NIDS (0.83) provide alternative Gini estimates with different methodologies. - **Gender dimensions of wealth:** Chatterjee et al. note that PIT data only contains age as a covariate; race and gender wealth breakdowns are left for future research. - **Recent post-2017 data:** Most rigorous wealth distribution studies end at 2017–2018. More recent data (post-COVID) is not yet available in peer-reviewed form.