A NEW METHODOLOGY
The 2000 data has the largest sample size. Allegedly 5% of the U.S. population was surveyed in detail. Each person in the survey has a "person weight" which is supposed to represent the total number of people in the population that they represent. I seem to get a lower male/female ratio when I don't use the person weight, which means that the actual responses are biased in favor of less males responding. I hope the Census people know what they are doing, being that they are government employees.
We are looking at non-Hispanic whites, age 25-40, who are unmarried.
BY STATE
It’s easy to prepare a chart of the male/female ratio by state. It’s not as informative as looking at smaller geographic divisions, but it still tells us some useful stuff.
For the nation as a whole, the unmarried male/female ratio is 1.227. But there are considerable variations by state.
States most favorable for single males:
New Mexico, Rhode Island
States least favorable for single males:
Hawaii, North Dakota, Nevada, Alaska
| 2000 5% PUMS and Person Weight | ||||
|---|---|---|---|---|
| Cells contain: -Row percent -N of cases |
sex | |||
| 1 Male |
2 Female |
ROW TOTAL |
||
| statefip | 1: Alabama | 56.4 112,964 |
43.6 87,183 |
100.0 200,147 |
| 2: Alaska | 57.0 20,664 |
43.0 15,585 |
100.0 36,249 |
|
| 4: Arizona | 54.7 151,281 |
45.3 125,128 |
100.0 276,409 |
|
| 5: Arkansas | 55.4 71,173 |
44.6 57,322 |
100.0 128,495 |
|
| 6: California | 55.3 858,576 |
44.7 695,322 |
100.0 1,553,898 |
|
| 8: Colorado | 56.6 171,107 |
43.4 130,971 |
100.0 302,078 |
|
| 9: Connecticut | 54.8 117,986 |
45.2 97,423 |
100.0 215,409 |
|
| 10: Delaware | 54.2 23,866 |
45.8 20,205 |
100.0 44,071 |
|
| 11: District of Columbia | 52.6 19,007 |
47.4 17,110 |
100.0 36,117 |
|
| 12: Florida | 55.8 459,691 |
44.2 363,649 |
100.0 823,340 |
|
| 13: Georgia | 56.0 225,264 |
44.0 177,114 |
100.0 402,378 |
|
| 15: Hawaii | 59.0 16,852 |
41.0 11,697 |
100.0 28,549 |
|
| 16: Idaho | 55.5 39,104 |
44.5 31,326 |
100.0 70,430 |
|
| 17: Illinois | 55.0 378,141 |
45.0 309,718 |
100.0 687,859 |
|
| 18: Indiana | 54.9 211,028 |
45.1 173,187 |
100.0 384,215 |
|
| 19: Iowa | 55.2 100,080 |
44.8 81,215 |
100.0 181,295 |
|
| 20: Kansas | 55.7 80,322 |
44.3 63,991 |
100.0 144,313 |
|
| 21: Kentucky | 53.6 137,650 |
46.4 119,047 |
100.0 256,697 |
|
| 22: Louisiana | 54.7 107,980 |
45.3 89,551 |
100.0 197,531 |
|
| 23: Maine | 53.2 51,605 |
46.8 45,449 |
100.0 97,054 |
|
| 24: Maryland | 54.6 141,391 |
45.4 117,651 |
100.0 259,042 |
|
| 25: Massachusetts | 52.5 270,296 |
47.5 244,710 |
100.0 515,006 |
|
| 26: Michigan | 55.5 341,278 |
44.5 273,719 |
100.0 614,997 |
|
| 27: Minnesota | 55.0 192,922 |
45.0 157,955 |
100.0 350,877 |
|
| 28: Mississippi | 54.9 58,773 |
45.1 48,353 |
100.0 107,126 |
|
| 29: Missouri | 55.2 188,245 |
44.8 152,656 |
100.0 340,901 |
|
| 30: Montana | 56.2 30,725 |
43.8 23,975 |
100.0 54,700 |
|
| 31: Nebraska | 56.8 58,938 |
43.2 44,808 |
100.0 103,746 |
|
| 32: Nevada | 57.3 71,386 |
42.7 53,277 |
100.0 124,663 |
|
| 33: New Hampshire | 54.8 51,144 |
45.2 42,213 |
100.0 93,357 |
|
| 34: New Jersey | 54.6 240,044 |
45.4 199,969 |
100.0 440,013 |
|
| 35: New Mexico | 51.9 30,834 |
48.1 28,576 |
100.0 59,410 |
|
| 36: New York | 54.3 573,452 |
45.7 481,817 |
100.0 1,055,269 |
|
| 37: North Carolina | 56.4 228,912 |
43.6 177,022 |
100.0 405,934 |
|
| 38: North Dakota | 59.1 23,932 |
40.9 16,548 |
100.0 40,480 |
|
| 39: Ohio | 54.9 400,509 |
45.1 329,067 |
100.0 729,576 |
|
| 40: Oklahoma | 55.0 91,521 |
45.0 74,956 |
100.0 166,477 |
|
| 41: Oregon | 54.8 129,037 |
45.2 106,637 |
100.0 235,674 |
|
| 42: Pennsylvania | 54.9 422,953 |
45.1 347,397 |
100.0 770,350 |
|
| 44: Rhode island | 51.5 40,492 |
48.5 38,104 |
100.0 78,596 |
|
| 45: South Carolina | 56.3 102,680 |
43.7 79,568 |
100.0 182,248 |
|
| 46: South Dakota | 56.2 23,196 |
43.8 18,083 |
100.0 41,279 |
|
| 47: Tennessee | 55.4 183,914 |
44.6 147,996 |
100.0 331,910 |
|
| 48: Texas | 55.0 444,228 |
45.0 364,178 |
100.0 808,406 |
|
| 49: Utah | 55.7 61,209 |
44.3 48,776 |
100.0 109,985 |
|
| 50: Vermont | 53.3 25,496 |
46.7 22,381 |
100.0 47,877 |
|
| 51: Virginia | 55.3 213,812 |
44.7 173,146 |
100.0 386,958 |
|
| 53: Washington | 55.4 224,070 |
44.6 180,517 |
100.0 404,587 |
|
| 54: West Virginia | 55.0 63,451 |
45.0 52,019 |
100.0 115,470 |
|
| 55: Wisconsin | 56.1 202,345 |
43.9 158,331 |
100.0 360,676 |
|
| 56: Wyoming | 56.3 17,553 |
43.7 13,619 |
100.0 31,172 |
|
| COL TOTAL | 55.1 8,503,079 |
44.9 6,930,217 |
100.0 15,433,296 |
|
That sucks pretty much all over, including in NY and DC. I really wonder about New Mexico, that is a shocker.
Posted by: Jack | April 04, 2008 at 02:17 PM
Are men in the bad-ratio states less likely to be married than their counterparts in states with better ratios? That's the real question.
Posted by: Peter | April 04, 2008 at 02:50 PM
I disagree that it is "the real question," Peter. There's a quality issue, which Philip Greenspun seems to have first brought up. If the ratio gets bad enough, a 75th percentile guy will have to settle for a below-average woman.
http://blogs.law.harvard.edu/philg/2004/12/15/best-undergrad-college-regardless-of-price/
It's a little like the housing bubble. It may not have affected home ownership rates between LA and, say, Harrisburg. But in LA an engineer would be paying 55% of his income for a 600 sq ft dump in Compton.
http://drhousingbubble.blogspot.com/search/label/real-homes-of-genius
Secondly, you've got some contingent probability. As this blog has discussed, many people form partnerships when young (Siggy is looking at the 25+ age bracket, but the average age at first marriage for women was 24 recently, and these days, that's often after a multi-year relationship). So the question is "assuming I am unattached (not merely unmarried) after college, what will my relationship options be in various cities?" I mean, a guy who finishes his masters' degree and takes a job in Birmingham, Alabama, will not be comforted by the fact that all his neighbors and co-workers are happily married to their high school sweethearts; he's just going to say "wow, the competition here really is brutal, and there are thousands of men in this town who are mathematically eliminated!"
Posted by: Hubbert | April 04, 2008 at 03:42 PM
I saw both quantity and quality of women in New Mexico on my road trip. What struck me was that even in gas stations or fast food places the employees were young attractive women. Most were Hispanic or Indian.
In other states I saw mostly butt ugly women in these type of lower level service jobs.
Posted by: Jason | April 05, 2008 at 06:59 AM
I'm not getting the significance of the colors. Explanation there?
While I think age 25-40 is appropriate for the guys, I think you need to dip down to 20 or 18 for the women. And maybe cap the men's age a bit higher -- men in their 40s can still be competition in the primary marriage market. Women definitely have a lower "sell by" date, and the comparison should probably be made on those terms.
Posted by: meep | April 05, 2008 at 07:14 AM