Men per 100 women in every US county, by age

All 17 five-year age bands, birth to 80+, across 3,135 areas. American Community Survey 2020–2024.

Purple counties have more women, orange more men. The scale is clamped at 85 and 115, so the oldest bands sit hard against the purple end.

Download the data (CSV, 3 MB) Download the animation (MP4)

Birth is flat. Old age is not.

  1. The 0–4 map is flat. 104.6 boys per 100 girls nationally, and effectively the same figure in every county. That is just the natural human sex ratio at birth — about 105 worldwide, 103 to 107 in most countries, and stable across populations and eras. Values persistently above that range are the signature of sex selection. The US sits inside it.
  2. It crosses 100 in the late forties and never comes back. 99.6 at 45–49, 90.4 at 65–69, 66.3 at 80+.

Every band

AgeNational Most menRatio Most womenRatio
0-4104.6Fayette, Pennsylvania111Curry, New Mexico96
5-9105.0Herkimer, New York116District of Columbia99
10-14104.9Maverick, Texas128Williams, North Dakota100
15-19104.7Onslow, North Carolina165Madison, Idaho50
20-24104.3Onslow, North Carolina220New York County (Manhattan)83
25-29103.0Walker, Texas177District of Columbia80
30-34102.1Allegany, Maryland149Colbert, Alabama80
35-39101.7Nash, North Carolina132Richland, South Carolina88
40-44101.2Allegany, Maryland126Henry, Georgia89
45-4999.6Fremont, Colorado137Rockdale, Georgia75
50-5499.4Anderson, Texas163Cumberland, North Carolina83
55-5997.1Walker, Texas131Bronx, New York86
60-6494.8Santa Clara, California102Philadelphia, Pennsylvania88
65-6990.4San Francisco, California95Shelby, Tennessee84
70-7487.4Otter Tail, Minnesota100Philadelphia, Pennsylvania77
75-7982.5Hawaii County (Big Island)106Bronx, New York65
80+66.3Yuma, Arizona88Shelby, Tennessee51

Extremes are limited to areas with at least 3,000 people in that band, so a 40-person county cannot take the top slot. Figures are shrunk toward the national value in proportion to each county's published margin of error. The CSV carries the raw counts alongside.

Where the map is wrong

Sources

Age by sex: US Census Bureau, American Community Survey 2020–2024 5-year estimates, table B01001, county level, with the published 90% margins of error. Boundaries: US Census TIGER, via the topojson/us-atlas distribution. Built with Python and matplotlib. For the natural sex-ratio-at-birth benchmark, see Our World in Data.

The same census data drives sex ratio by region across every market on the site. The US deep-dive, which adds cost, safety, visa and climate on top of it, is behind the Pro gate.