Ladylike Places

On April 13, 2017 · 2 Comments

The recent Manly Places dealt with U.S. locations that swung wildly towards an overabundance of men. Naturally I also wanted to examine the opposite condition. The inverse of manly seemed as if it should be something like ladylike so that’s what I called the followup article. This one required more effort. Women lived longer than men naturally and the ratios reflected that. Fluctuations didn’t hit the same extremes either.

Women did seem to congregate in larger numbers in major northeastern cities, such as Boston, New York and Washington: "Nine of the 10 metros with the highest ratio of women to men are in the East: Oakland is the only exception." However, fluctuations occurred even within those metropolitan areas. The most women in New York City could be found in the 10021 ZIP Code. In the suburbs of Washington, DC, in Bethesda-Rockville-Frederick, Maryland specifically, 1.2 women lived alone for every man in a similar situation.

Prisons


Alderson Federal Prison
Alderson Federal Prison. Photo by Aaron Bauer on Flickr (cc)

I found some bad news and some good news about women and prisons. Incarcerated women skewed the populations of lightly populated rural counties and towns just like their male counterparts. However, at least within the Federal Bureau of Prisons, women accounted for only 7% of the inmates. Still, where women’s prisons existed, anomalies could occur. No county had a greater imbalance than Summers County, West Virginia, the home of Federal Prison Camp Alderson. This minimum security facility housed nearly a thousand women (map). That created an imbalance in Summers County of 1.23 women to every man.

Some well-known criminals served time there, too. I remembered Lynette Fromme mostly because of her nickname, "Squeaky." She became a follower of Charles Manson and later tried to assassinate President Gerald Ford. Her sentence could have kept her confined for the remainder of her life although she earned parole in 2009 after serving 34 years. She spent many of her years at Alderson, helping to skew the population ratio of Summers County except for the couple of days in 1987 when she escaped briefly.

Things really got wacky at the town level. The greatest imbalance occurred in tiny Raoul, Georgia, population 2,500. Four out of five residents were women. There, the Lee Arrendale State Prison of the Georgia Department of Corrections created the anomaly. The largest town on the list of Top 100 cities with the most women, Chowchilla, California made space for two prisons for women. However one of them, Valley State Prison, became a men’s facility in 2012. It will likely drop from the list after the next Census.


Colleges and Universities


Mary Lyon Hall
Mary Lyon Hall. Photo by Mount Holyoke College (cc)

My intuition failed me once again. I figured colleges and universities would skew ratios more than prisons. I didn’t get things completely wrong, though. One of the largest towns to crack the Top 100 list reflected that category. Mount Holyoke College fell within the boundaries of South Hadley, Massachusetts (map). This institution dated to 1837, beginning as the Mount Holyoke Female Seminary. It’s 2,500 students comprised a sizable chunk of the town’s population of 17,000; enough to contribute mightily to a favorable ratio of women to men.

A lot of colleges for women either closed or became coeducational institutions as the Twentieth century progressed. About sixty still remained in the United States. That limited the number of chances to dramatically impact populations.


International


Saipan Hyatt Sunset
Saipan Hyatt Sunset. Photo by drufisher on Flickr (cc)

I looked a little beyond the United States this time. Sort of. Wikipedia had a nice list of countries by sex ratio that I consulted. After I sorted the list it showed that the Northern Mariana Islands had the greatest abundance of women. It contained about 1.4 women for every man. Of course the Northern Mariana Islands actually belonged to the United States in a commonwealth arrangement (map), even though it appeared separately on the list.

This anomaly occurred because of legal loopholes and deplorable exploitation of female garment workers brought to the islands primarily from China. The Northern Marianas fell within something of a gray area. Products coming from there could claim that they were "Made in the USA" and avoid tariffs. However, a lot of wage and fair labor laws applicable on the mainland United States did not apply to them. A large garment industry started operating in the Northern Marianas around 1984 to take advantage of the situation. That’s why women so outnumbered men. They toiled in factories twelve or more hours a day without breaks for poverty wages. Once exposed, the U.S. Congress began to pass laws that eventually restricted the loopholes. The last of the factories closed in 2012 and the population of Saipan dropped by nearly a third.

Estonia may top the list after the next Census takes place in the Northern Marianas. I examined the ratios within Estonia by different age categories. It seemed after a quick glance that Estonian men simply began to die in droves once they hit their 60’s.

Arkansas (finally) Checks In!

On January 20, 2008 · 4 Comments

Many of you will recall my recent posting about Google Analytics and the wonderful tool it provides for people who like to leaf through maps for hours on end, and how it was such a delightful diversion. Included in that post was a bit of whining about how I’d incorporated Google Analytics a full month earlier and still hadn’t recorded a single page view from anyone in the state of Arkansas. I’d had visitors from every other state in the Union, and I’d even gotten a hit from the tiny Northern Mariana Islands (a commonwealth in political union with the United States with only 80,000 people). Still, nothing from Arkansas. So finally this morning I was quite pleased and excited to see this waiting for me in the tool:


First Arkansas Visitor - Paragould
Google Analytics of course records Internet Protocol addresses of page viewers, correlates them to specific geographic locations and then plots them on maps based on user-generated preferences. It’s not totally foolproof since IP addresses don’t identify exact geographic locations every single time for every single user. I’ve noticed that my Internet Service Provider assigns me slightly different IP addresses and when I perform a reverse DNS lookup on them they can vary by a number of miles. The address is assigned to the ISP and not to me specifically. Generally it’s pretty close, though, so over time they form a fairly reasonable radius around my actual location. It’s more like a bullseye within a target. Many shots are taken, some closer and some further away than others.

The person from Paragould, Arkansas who visited may have been sitting just across the border in the Missouri bootheel (I’ll blog about that unusual spot someday but not today), but probably not in Memphis, Tennessee which seems just a little too far away. In other words my visitor may have actually been sitting in Missouri or perhaps even Tennessee. However they came across on an IP address corresponding to Arkansas and I’m going to take it!

Thank you mystery viewer from Paragould. I hope you enjoyed your visit.

Purpose
12 Mile Circle:
An Appreciation of Unusual Places
Subscribe
Don't miss an article -
Subscribe to the feed!

RSS G+ Twitter
RSS Twelve Mile Circle Google Plus Twitter
Categories
Monthly Archives
Days with Posts
October 2017
S M T W T F S
« Sep    
1234567
891011121314
15161718192021
22232425262728
293031