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Africa’s Wealthiest Countries: Top 10 by Resident Millionaires

Compare Africa’s top 10 countries by estimated resident millionaires in June 2025, distinguish wealth from GDP, and prepare a sourced public table.

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Wei Hu

South Africa leads the countries covered by the Africa Wealth Report 2025, with an estimated 41,100 resident millionaires, followed by Egypt and Morocco. This ranking measures the number of wealthy residents—not total national wealth, economic output, or how wealthy the typical resident is. The figures refer to June 2025, rather than 2026. Source: Henley & Partners and New World Wealth.

For a spreadsheet or public data page, use the explicit label “African countries ranked by estimated resident millionaires, June 2025.” It tells readers what they are comparing before they sort the table.

The top 10 countries in the report

The report defines a millionaire as someone with at least US$1 million in liquid investable wealth. That includes listed company holdings, ETFs, cash, bonds, gold, and crypto holdings—assets that can be cashed in quickly. It is not a measure of all assets, such as a home-inclusive net-worth calculation. Wealth definitions.

Rank by millionaire count Country Estimated resident millionaires, June 2025 Millionaire growth, 2015–2025
1 South Africa 41,100 −6%
2 Egypt 14,800 −15%
3 Morocco 7,500 +40%
4 Nigeria 7,200 −47%
5 Kenya 6,800 +14%
6 Mauritius 4,800 +63%
7 Algeria 2,700 −23%
8 Ghana 2,600 +20%
9 Namibia 2,500 +28%
10 Ethiopia 2,400 +30%

Source and coverage: New World Wealth estimates published in the Africa Wealth Report 2025 country table. Millionaire counts are rounded to the nearest 100. The report covers selected countries and explicitly excludes markets including Tunisia and the Democratic Republic of Congo because reliable source data was unavailable. These are the top 10 within its coverage, not a complete census of every African country.

The ranking changes if you sort by growth instead of count: Mauritius has the highest decade growth among these ten, while South Africa has the largest estimated millionaire population. Keep the rank column labeled by its original metric so sorting does not turn a count rank into an apparent growth rank.

Growth is for the full 2015–2025 period, not an annual rate. The report measures wealth in US-dollar terms, and its historical model considers currency movements, asset prices, and migration, among other indicators. A decline should not be read simply as the number of millionaires who left a country. Methodology.

What this ranking can—and cannot—answer

Choose the measure that matches the reader’s question:

  • Where do the most millionaires live? Use resident millionaire counts, as above. Residence is not citizenship.
  • Which economy is largest? Use total GDP. GDP measures production during a period, not accumulated assets. See the separate Africa GDP country table.
  • How much economic output is there per person? Use GDP per capita. For purchasing-power comparisons, use a consistent purchasing power parity (PPP) series rather than mixing it with current-dollar figures.
  • How wealthy is the typical adult? Seek a median-wealth-per-adult dataset with suitable African coverage. Millionaire counts do not answer that question.

The IMF explains that GDP measures final goods and services produced within a country and that GDP per capita does not capture the distribution of output or overall well-being. A high position in either a GDP or millionaire table should not be presented as proof that most residents are affluent. IMF explanation of GDP.

Prepare the table for public exploration

  1. Keep values numeric. Store 41100, not 41,100 people. If storing growth as whole-number percent values, use -6 and 63 under a header that states that convention. These are percentage changes, not percentage-point changes. Do not apply standard spreadsheet percentage formatting to 63: store 0.63 if you want that format to display 63%.
  2. Preserve provenance. Include fields such as country, resident_millionaires_estimate, growth_2015_2025_pct, reference_period, source_url, and accessed_date. Use 2025-06 for the reference period and record your actual access date separately.
  3. Keep missing coverage distinct from zero. An excluded country should have a missing value and a coverage note, not a zero-millionaire entry. Describe the counts as modeled estimates: the publisher says they indicate broad trends rather than precise counts. Methodology.
  4. Publish and inspect. TablePage accepts CSV, TSV, XLSX, and XLS uploads and generates a public dataset page with a shareable link and filterable table. After publishing, check that numeric fields are interpreted correctly and that the shared page makes the metric, reference period, and coverage clear. Upload only the public country-level data—not personal wealth records. TablePage.

If you add a chart, use a bar chart of country counts with a zero baseline. Label it “Estimated resident millionaires, June 2025” and keep the rounding and coverage notes beside it. For a broader publication check, use the public ranking table disclosures guide.