Ever wondered what the numbers behind a website like XCamsClub.com are?
What’s the total number of registered models, how many of those are girls?
This is what this article is trying to answer to, so let’s dig in.
Over 1 million registered webcam models!
1,231,575 to be exact. That’s about 0,016% of the World’s population or almost the entire population of Estonia. You could also say that everyone living in the city of Sofia, the capital of Bulgaria is an XCamsClub model. That’s obviously not the case, but you get the idea.
According to the chart, the majority of our webcam models are girls, but I guess this isn’t a surprise to anyone. What’s surprising is that the number of Shemale models and Couples is very similar, which means they are growing in popularity among our visitors.
Boys represent 17.8% of our entire model database which corresponds to 219,434 models, if you’re looking for an exact number.
You can easily figure out the rest of the numbers, but let’s make it easier for you:
There are a total of 1,231,575 registered models on XCamsClub out of which 910,844 are female, 219,434 are male, 42,482 are Shamele and 58,815 are Couples.
North America and Europe Lead
Before getting into all the data goodness, there are a couple of things I need to mention about how XCamsClub hosts are able to fill in their location details.
First of all, it’s a mandatory field in their profile, so they can’t just ignore it.
It’s also a free form, which means they can type in whatever they want. It’s also what made this so difficult to dig for. And while we trust most of the available data is accurate, expect some of it to be false.
When it comes to what continents our models come from, there are two clear winners. North America leads with almost 38% of our models. This includes The United States, Canada, Mexico, Cuba, Costa Rica etc.
Europe comes in second, with around 34% of our performers. That’s a very close second place if you ask me, only about 4 points separating the two.
South America and Asia follow with 11.20% and 7.62% shares respectively. I was expecting a larger number of our models to keep their location hidden, but according to our data, only 4.19% have chosen not to disclose where they live in.
United States & United Kingdom Have The Most Registered Models
Models By Country
|Country||Percentage||Models Per Country|
That’s surprising to say the least, considering that for ages, most of the cam girls came from either South-Eastern Europe or South America, especially Colombia. If the data is accurate, it seems that models from developed countries really love our platform.
If we look at the table above, Colombia still holds 7% of the total number of registered cam hosts, which is roughly around the 100,000 models mark. It’s still impressive for a country with just about 50 million people. The same goes for United Kingdom. It takes 7% as well, so there’s a tie between United Kingdom and Colombia.
3% have chose not to disclose their location. We considered Undisclosed location those models who only partially specified their location, for example just the continent or approximation of their geographical location. There were also a lot of models who entered unrelated stuff inside the Location form, so we also considered those as Undisclosed.
Surprisingly, Russia only has 2% of our entire model database, while other popular “cam models” countries like Romania and Ukraine only have 1%.
Around 5000 models entered that they’re from Planet Earth, so we can be sure that at least that amount are not aliens from out of space.
1940 models come from Wonderland, but we were unable to map that, it’s safe to say it’s a secret place of non stop fun.
There are just 2 models from The Vatican and just 1 from South Sudan and Kiribati.
Tags Rule, But Which Ones Rules Them All?
Top 10 Used Tags
According to our data, it’s #cum, with around 66,000 models using it. That’s about 5,4% of all registered model accounts.
Next it’s #lovense, the sexual toy I mentioned in this article. It gathers around 4,7%.
This are definitely the top two most used tags on XCamsClub. The next three tags are extremley close to eachother in terms of usage. They are #ass, #feet and #anal. I’m a bit surprised #anal is present in 3,9% of our models’ status, I was expecting a much lower figure than that.
Anal, however, is no longer a taboo subject and it’s been growing in popularity lately.
Next are #teen, #squirt, #latina, #bigcock and #hairy. You can see all the percentages for the top ten most used tags in the table below.
Top 9 Categories
|Category Name||Percentage||Model Count|
First, I should say a few words about how XCamsClub constructs its categories.
There are 2 possible options. With the first one, each model sets his/her own category. A few good examples of these would be BBW and Gay. Seconds option is a bit more dirtier, meaning we need to come up with a category definition. Take “Mature” for example. While models can choose this category on their profile page, a lot of them miss out on it, so we decided to add to this category all models above the age of 40 years old but up to 60 years of age. Of course, the downside to this is that if the age is wrong we end up with faulty data.
Having said that, Mature really seems to be our top category, followed by “Girls” and Couples.
To make it easier to understand the data, we defined “Girls” as female performers between the age of 20 and 30. Teens are female performers between the age of 18 and 19 while Milfs are considered to be female models over the age of 30 but up to 40 years old.
Asian are defined by their ethnicity which is set by our models in their profile page. Same goes for Fetish while Latin si based on both model submission and geographical location.
Most Spoken Languages on XCamsClub
No surprises here, considering the geo location data from the beginning of this article. Besides all the data, 75% of our models speak English either as their main or secondary language.
Spanish comes in second with a merely 11,40% while French, German and Portuguese follow at a not so close distance.
Ending But Not Finishing
There’s more data to be tackled, but I think the next thing I’m going to discuss are our most followed models. And since they deserve a lot more space than a couple of sentences each, I’ve decided to dedicate an entire article to that topic.