97% of the aquarists are male in Turkey. Well, Turkey is a male dominant country so that's not a surprize. I know a study done in US in which the researcher interviewed 50 males and 50 females at a LFS in 1990s. I was surprized with that study that 50 females could be found in an LFS.
I also did a study here in which male female comparisons were made on the bases of age, number of tanks, volume of the tanks etc. : look at massage number 36
Men have more leisure time, so it stands to reason that males would be more frequent on hobby sites. Also, in families, money spent on hobbies is more likely to be spent on hobbies that the man wants, with the exception being any hobbies or interests the children have. Women are usually left with the scraps when it comes to fun time and money to blow on fun projects. Unless you're my man.
It is interesting that when the predictors below are controlled, the sex is not a predictor any longer for predicting the active users of internet. The study inidrectly gives some ideas regarding the why questions:
Research Article Internet usage: Predictors of active users and frequency of useChristos Emmanouilides, Kathy HammondLondon Business School, Sussex Place, Regent's Park, London NW1 4SA, United Kingdom setDOI("ADOI=10.1002/(SICI)1520-6653(200021)14:23.0.CO;2-E")AbstractThe factors that predict Internet usage patterns are explored through the use of consumer panel data. We look at two major aspects of usage behavior; active (current) versus lapsed usage and usage frequency among current users.We find that the main predictors of active or current use of the Internet are:
Time since first use of the Internet. Pioneers (very early adopters) are most likely to be active users. However, the relationship is not a linear one; middle adopters are more likely than other groups to have not used the Internet in the previous month.
Location of use. Social use at home, especially with two or more other people.
Specific services used. Personal communication is the most popular activity (used by just over half the sample), but the best predictors of active users are use of information services.The main predictors of frequent or heavy Internet use (20+ times per month) are:
Broad applications, e.g., business email followed by personal email.
Time since first Internet use. The relationship here is linear; the longer someone has used the Internet, the more likely they are to be a heavy user.