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Record jackpots in South Africa National Lottery

Published: Tuesday, July 21, 2020
(Updated: 21.07.2023)


The biggest jackpots in South African loterry were won in recent years when Ithuba is the official operator. We publish the eleven biggest jackpots won up to date by African citizens. Most of them are Powerball jackpots.

  1. R232,131,750.69 won on 2019-02-19 in Powerball, claimed by 1 Winner, a man in his 50s.
  2. R153,466,150.39 won on 2020-07-10 in PowerBall Plus, unclaimed yet.
  3. R145,469,799.30 won on 2018-08-03 in Powerball, claimed by 1 Winner, 34-year-old man.
  4. R141,343,180.95 won on 2019-08-23 in Powerball, claimed by 1 Winner, 50-year-old man.
  5. R135,366,753.00 won on 2020-04-28 in Powerball.
  6. R114,580,902.70 won on 2020-02-04 in Powerball, claimed by 1 Winner who is 35 years of age.
  7. R114,242,816.50 won on 2019-11-26 in Powerball, claimed by 1 Winner, 32-year-old man.
  8. R110,000,000 won on 2018-01-27 in Lotto , claimed by 4 Winners who won R27.5 million each.
  9. R102,016,595.00 won on 2011-06-03 in Powerball, claimed by 1 Winner, a man in his 20s.
  10. R91,068,427.00 won on 2010-02-12 in Powerball.
  11. R87,624,435.00 won on 2016-07-22 in Powerball, claimed by 1 Winner, a man in his 40s.

Two of these jackpots were created during Gidani operating times (from 2007 to 2015). Most of them were generated during Ithuba operating time (from 2015 to present).

There was only one woman, who has won over R100 million on 2020-02-04.

During the Utingo operating times (2000 - 2007) lottery jackpots were much smaller.

What lottery jackpots data tells us?

My assessment of the data indicates an interesting trend in South Africa's lottery history, especially under the operation of Ithuba. The significant increase in the size of jackpots since 2015 suggests not only a change in management strategies but also possibly an enhanced public interest and participation in the lottery.

The age and gender patterns among winners, predominantly men in their 30s to 50s, raise interesting questions about the demographics of lottery players in South Africa. I speculate that these patterns might be reflective of broader socio-economic factors, such as income, disposable wealth, and leisure time, which could influence lottery participation rates.