2016 Statistics from catshows

The following data has been gathered from catshow.eu website. There might be some errors in the data, but I have tried to analyze it as correct as possible.

During 2016 there were 8793 entries in total for the cat shows in Poland, split for 18 show weekends (32 individual shows).

When we split the cats per category, it is easy to see that the most popular category was 2, followed by 3, 4 and 1.

When the sex of the cats is taken into account, 57% of the cats signed for shows were female.

If we then look the data for sex per category, it is visible that in housecats males are dominant over females and for the rest of the categories (besides category 1 where the split is almost 50/50) females are dominating.

The cats were split to the show classes as below. (Out of competition refers to class 15 where most of the withdrawn cats were placed).
From the statistics it can be easily seen that class 9, 11 and 12 are the most popular and in these classes females are dominating. In the later classes the sexes are split more evenly. Surprising is to note that for class 12 only 77 male entries were for whole year versus 1117 entries for females!
In the neuter classes males are dominating over female cats.

In the following graph the top 5 breeds per category are presented. For category 2 Maine Coons are leading, as well as in category 3 has British Shorthairs in clear lead. Category 1 is consisting mostly of ragdolls, but in category 4 the split is a lot more even.

When looking at the colors, the following chart presents the most popular colors per category.

The results in the shows are split as follows. 6 DISQ were given in Cat 1-4 and one in housecats.
Category 2 had the most color change requests and these were given for MCO.

Results aside, from the chart below it is easy to see that categories 2-4 have almost equal absence rate, when category 1 has over 1% less of absences compared to the other categories.

The entries per day are split as follows, showing that Saturday is more popular day to bring cats for the show than Sunday.

In average 234 cats were signed per a show day. The following chart has the average entries per month calculated, showing that April, August and December are the most popular months to take cats for the show.

Also in the chart below it is seen that it is more likely to have cat absent in the show during August and least likely during March and June.

The chart below shows the absence percentage per show. Please do note that all withdrawn cats were also counted to the absences as they appeared in the catalog. Rybnik, Krakow and Szczecin shows had the least absent cats.

When absences are looked on per day basis, Sunday is the day when more cats are absent. This is also due the fact that the cats might get locked for certificates.

When the show results are compared, below chart shows how many BIVs (Best in Variety) were given per cat breed.

And most of the BIVs were given to female cats.

In category 1 48% of BISses were given to Ragdolls, 30% for Persians and 16% for St. Birmans.

For category 2, NFOs received 50% of BIS results, followed by 35% for MCOs and on third spot were NEM and SIB with 7% each.

Category 3 is dominated by British Shorthair that took 60% BIS results and Burmans were good second with 32% of BISses.

And in category 4 36% of BIS results went for Russian Blues followed by Cornish Rex (19%) and Sphinx (16%).

Based on that data, the below table shows which breed is the most likely to receive BIS per category.

When looking the statistics of cats assigned per judge, the likelyhood of a certain judge to evaluate a cat is as in the table below.
Vladimir Isakov evaluated 3.17% of all the cats in the shows during 2016, followed by Gerardo Fraga (2.80%) and Irek Pruchniak (2.70%)

21.44% of all cats were evaluated by Polish judge,9.80% by Italian judge and 7.07% by French judge.

More statistics will be coming!
If you wish to see some specific statistics, please drop me an email.
The already completed statistics you can find behind this link.

If you wish to use/share these statistics, please remember to mention the source.