Welsh towns where people are most likely to cheat on their partner

People in Newport are more likely to cheat on their partner than residents of any other place in Wales, according to a new ‘cheating index’. Figures from Illicit Encounters – an online dating site for married men and women – revealed that 9,162 people in Newport are members.

This equates to 5.86% of the population, or around one in 17 people, the 26th highest proportion of people using the cheat site in the UK and the highest in Wales. Cardiff has the highest number of members in the country on illicit dating, a total of 20,683 people, which equates to 5.61% of the population and puts the city 28th on the infidelity index.

And Swansea is not far behind, with 13,743 would-be cheaters, or 5.57% of the population and the 30th highest in the UK. Illicit Encounters mapped the location data of each of their members against the adult population of each city to find the most adulterous places in the country. Read more: Mistress shares four ways to tell your man is cheating and says it’s your fault

All three are among the top 50 cities in the UK where people are most likely to cheat on their partners. Newport is 26th on the list, Cardiff is 28th and Swansea is 30th.

Illicit Encounters also maps the cities with the highest proportion of cheaters. Of the 360 ​​towns listed in the index, 13 of them are in Wales. In Wales, Penarth in the Vale of Glamorgan is the town with the most cheaters, with 1,054 members, or 3.87% of the population, making it the 12th most adulterous town in the UK.

After Penarth, Aberystwyth in Ceredigion has the highest cheating rate (2.61% of the population), followed by Rhyl (2.38%), Pontypool (2.26%) and Ebbw Vale (2.18%).

The site’s Cheating Index shows that Bath is the city where people are most likely to cheat on their partner, with 8,310 members (6.89% of the city’s population). Bath is followed by Chester, where 6.88% of the population are members, then Brighton and Hove (6.87%), Nottingham (6.86%) and Lichfield (6.83%).

At city level, people are most likely to have an affair in Altrincham, Greater Manchester, where a total of 2,994 people are members of Illicit Encounters – 5.71% of the population, or around one in 18.

Welsh towns listed in the Infidelity Index:

Rank, city, extended area, percentage of city population, number of cases

  • 12, Penarth The Vale of Glamorgan, 3.87, 1054
  • 55, Aberystwyth Ceredigion, 2.61, 472
  • 81, Rhyl Denbighshire, 2.38, 599
  • 91, Pontypool, Torfaen, 2.26, 639
  • 97, Ebbw Valley Blaenau Gwent, 2.18, 395
  • 121, Merthyr Tydfil, 1.98, 866
  • 153, Caerphilly 1.59, 660
  • 180, Port Talbot Neath Port Talbot 1.42, 529
  • 196, Neath Neath Port Talbot 1.27, 526
  • 242, Cwmbran Newport, 1.08, 505
  • 254, Bangor, Gwynedd, 1.03, 513
  • 297, Llanelli Carmarthenshire, 0.89, 392
  • 326, Ystrad Mynac Caerphilly, 0.78, 150

The figures are revealed after Only Fans model Amy Kupps – who says she only dates married men and receives up to £40,000 in gifts from her lovers every month – shared her secrets on how to catching a cheating spouse.

The 32-year-old former teacher, who says ‘you can only blame yourself’ if your partner is cheating on you, warned people to be on the lookout for signs including a hidden work phone or a new credit card.

She said the first lie a cheater will tell their partner is that they are “meeting a friend for a quick drink”.

She said, “They’ll tell their wives not to wait for them all night.”

According to Illicit Encounters, 20,000 people cheat on their partners using the site every week.

Since its launch nearly 20 years ago, Illicit Encounters says more than 1.1 million people across the UK have signed up to meet someone for “a casual chat, date regular with a coffee or a full fledged affair”.

He says he provides a meeting place for “married, attached, like-minded people” who are “all looking for a bit of romance outside of their current relationship.”

You can find the local “cheating numbers” for your postcode using their infidelity index here which is based on data from one million postal codes.

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