I've created a new, improved and updated version of my statistical analysis of UKP reviews. The sample this time is much bigger (923) - taken entirely from May 2016 reviews. This has enabled me to include more nationalities, to have narrower price bands, and to improve the age stats. Two new features this time are: (1) an analysis by the girls' AW join-up years, and (2) an analysis by region. The nationalities and regions have also been ranked in descending order of 'positiveness'. When looking at the figures below it is useful to bear in mind that the overall percentage of positive reviews for the sample is 67%. So any nationality, age, region etc that scores above 67% is ahead of the game, and any that scores below 67% is doing worse than average. Categories that are better than average by more than 5 percentage points are highlighted in green. Those worse than average by more than 5 percentage points are highlighted in red. I've tried to ensure that the number of reviews in each category is at least 20, in order to make the percentages meaningful. Most categories contain far more than 20 reviews.
Percentage of positive reviews by nationality
#1 Spanish ............. 76%
#2 British ............... 73%
#3= Brazilian ........... 70%
#3= Polish ............... 70%
#5 Czech ................ 65%
#6 Hungarian .......... 59%
#7 Thai ................... 57%
#8 Romanian ........... 49%
There were a further 27 nationalities present in the sample - but they all had fewer than 20 reviews, so I didn't include them. Nationality and price are not independent variables - some nationalities are cheaper on average than others - so it would be interesting to compare different nationalities at the same price point (e.g. £100). Likewise some nationalities are, on average, younger or older than others - so one maybe ought to compare different nationalities at the same age. Unfortunately I haven't done either of these things in this survey. In the case of price, it would be difficult to find a price level that would enable enough data to be gathered for all nationalities. (For example, there might be too few Brits at £100.) This problem of interdependent variables applies to all these statistics in fact.
Percentage of positive reviews by price (per 1 hour incall)
< £80 ....... 50%
£80 .......... 61%
£90 .......... 57%
£100 ........ 63%
£110 ......... 66%
£120 ......... 69%
£130 ......... 73%
£140 ......... 72%
£150 ......... 71%
> £150 ...... 79%
While it is true that you can get a good punt at any price level, there does seem to be some positive correlation between price and satisfaction, with a VFM sweet spot somewhere around the £130 mark.
Percentage of positive reviews by age range
18-20 ..... 52%
21-25 ..... 66%
26-30 ..... 68%
31-35 ..... 69%
36-40 ..... 72%
> 40 ....... 82%
Bear in mind that the above ages are the ones stated on the girls' AW or agency profiles - or on their own websites. Their true ages will probably be higher, with the discrepancy increasing as the age increases! One would expect girls' skills and attitude to improve with age and, indeed, the figures bear this out. 18-20 is a relatively poor age-group to punt with. Age-related improvement doesn't really kick in fully, however, until age 40+. Perhaps this is the age-group punted by the serious and committed MILF-lovers?!
Percentage of positive reviews by AW join-up year
Pre 2012 ...... 64%
2012 ............ 82%
2013 ............ 68%
2014 ............ 75%
2015 ............ 64%
2016 ............ 61%
Girls that have been on AW for at least a couple of years definitely seem to be the best bet (though the 2013 vintage is a bit of an anomaly.) Too long on AW doesn't seem to be a good thing, however.
Percentage of positive reviews by region
#1 North East ................. 80%
#2 West Midlands ............ 74%
#3 South West ................ 71%
#4= Scotland .................... 70%
#4= North West ................ 70%
#6= London ...................... 66%
#6= Yorkshire & Humber .... 66%
#8 East Midlands ............. 62%
#9 Wales ......................... 61%
#10 East England .............. 58%
#11 South East ................. 56%
I'm sure local punters will have a far better idea than me of why their own particular region fares well or badly. However here are a few factors that may, or may not, play a role: (1) different proportions of foreign girls in different regions; (2) punting styles - e.g. parlours, saunas, use of agencies, etc - varying from region to region; (3) socio-economic differences between regions - leading to different punting behaviour, differing punter profiles, and to different types of girls becoming prossies; (4) proximity of London (the 'pussy drain'), which may account for the poor performance of my own region, the South East; (5) regional punter personality differences (affecting reviews and ratings) - though this is admittedly the least likely explanation! A high punter satisfaction percentage in this category does not necessarily mean that the region is brilliant for choice and variety, of course. It could just be that there is a restricted pool of good girls in the region.