I have been exploring the issue of single male and female ratios and how it affects dating situations in different geographic areas. It turns out that there is a variety of data sources and not all of them share the same conclusions. There are, however, some overarching patterns. In this post, I will explore the data source and implied conclusions from sex ratio data that are available publicly.
1. The US Census bureau is required to do these data aggregations every 10 years. The last one was done in 2000, and a comparison of that to 2010 data is quite revealing.
Generally speaking, there are more males per 100 females the further west you go. The eastern, southern and Florida states tend to have more regions of higher female to male ratios.
2. The National Atlas composed a similar database from 2000 census data. It is interesting to see the population growth in 2000 to 2010 and how it affected sex ratios. Keep in mind this data is about 12 years outdated.
Source: National Atlas of the United States®. U.S. Census Database, 2000
3. Half Sigma wrote a post about the 2000 5% PUMS Census data is coded by “metropolitan statistical area.” There is a lot of interesting data to look at, and it’s a lot easier to run this than trying to manually enter super=PUMA codes.
For some reason, he’s looking at only “unmarried non-Hispanic whites age 25-40.” Keep in mind this is the 2000 census and it is 12 years behind. So if you like blonde girls, this is the data set to pull. If you analyze this data based on the highest female percentages of 25-40, here are the highest numbers:
52.2 Monroe, LA
52 Amarillo, TX
51.7 Yolo, CA
51.3 Charlottesville, VA
51.1 Fresno, CA
50.6 Redding, CA
This list goes on. As you can see, most of these are smaller towns with less than 100k population. Realistically, the major cities have about 51-55% male population. Even NY, famous for a higher single female to male ratio has the following data:
New York-Northeastern NJ
|54.4 % male||45.6 % female||100|
Now, how does that compare to San Jose and San Francisco? Well, SF has a similar 25-40 white girl (non Hispanic) number versus New York. However, San Jose gets a lot worse with almost 60% male and 40% female due to the large engineering population.
|736: San Francisco-Oakland-Vallejo, CA||55.3% M||44.7% F||100|
|740: San Jose, CA||59% M||41% F||100|
Made famous by the “Creative Class” by Richard Florida, the most common graph is from the 2006 American Community survey laying out the highest concentration of “single” men and women. How they define single is probably related to non married status, although we could argue that women over 35 or 40 are probably not ideally suited for singles dating.
Source: 2006 American Community Survey, US Census Bureau
4. Worldwide, we have it much better than China and parts of Africa. Keep in mind this is the total population, without married or age data segmented out.
Source: Wikipedia Entry Sex Ratios
As a professional dating coach, our goal is to help our clients get the most out of the man’s dating life. The singles ratio does affect macro supply and demand. In San Jose, for example, a girl may receive multiple offers for dates on a single weekend. This may be less true in cities like New York. Similarly, a higher number of competing males will have better “overall package” scores, and as more percentage of the population is male, the more likely you will find potential suitors competing for the same attractive girls. An total adherence of the sex ratios is not useful, while a complete disregard for it, in my opinion, is also ignorant. Sex ratios for singles affect the supply and demand and power balance of urban cities, and should be taken into consideration. Ultimately, you want to run tight game wherever you are, and become the sort of man that, despite 60-40% ratios, still gets the majority of women wanting you.