I used a great amount of Fish, which presently is considered the most commonly utilized web site. I don’t have access to the Plenty of Fish database, I decided to use a count of the members who are Online Now to estimate the male:female ratio since I can’t actually count every male and female site member and then calculate the male:female ratios and. It is pretty very easy to do with POF since it turns up demonstrably regarding the search outcome pages so when you will do the search you simply select Sort by final see plus the everyone who’s Online Now pops up first when you look at the outcomes.

The search had been done utilizing a main Toronto postal rule and ended up being done over four various evenings at somewhat differing times, each of which did actually exhibit a fairly pattern that is similar.

Regarding the age splits we decided to go with, they appear reasonable. Any range of groupings has reached minimum significantly arbitrary and might oftimes be criticized, but short of doing a different count for every and each age this appeared like a good option.

The ratios ranged from a higher of 3.43:1 (age 30-34) to a decreased of 0.86:1 (age 45-49), though varied from to evening for those age groups evening. Continue reading →