Summary

Median age, US cities

Median age by city · all 346 cities · hover or tap a city for every figure on this page

CitiesScottsdale, Arizona

Summary

Darker amber is a higher median age. Each city is a marked point on the US state map. Alaska and Hawaii are inset. Puerto Rico cities are in the ranking and table but are not drawn here.

Among the 346 US cities with at least 100,000 residents, a typical city has a median age of 35.9 years, the midpoint, so half of these cities are older and half are younger. Scottsdale, Arizona is the oldest at 49.2 years, then Cape Coral, Florida at 48.7 years. College Station, Texas is the youngest at 22.9 years, 26.3 years behind Scottsdale, Arizona. 15 cities sit under 30 and 45 reach 40 or older. These are each city’s own ACS median for people who live there, not a United States median: averaging city medians does not produce a national figure.

35.9 yearstypical citythe middle city, not a US median

49.2 yearsScottsdale, Arizonaoldest median age

22.9 yearsCollege Station, Texasyoungest median age

15cities under 30 yearsof 346 cities with 100,000 or more people

45cities at or above 40 yearsincluding 5 at or above 45

Figure 1

Median age, all published cities

Median age · all 346 · ranked high to low

Summary

Every incorporated or Census place with at least 100,000 residents, 346 in all. Scottsdale, Arizona leads at 49.2 years, then Cape Coral, Florida at 48.7 years and Clearwater, Florida at 46.4 years. College Station, Texas is youngest at 22.9 years. The middle city sits at 35.9 years. 45 cities clear 40 years and 15 sit under 30. The ranking is each city’s own median age on the 2023 ACS five-year estimates.

Figure 2

Male median age against female median age

Median age, female against median age, male · one point per row, 346 of 346 plotted

Summary

Each point is one city of 100,000 or more, 346 in all. The horizontal axis is the male median age and the vertical axis is the female median age. In 335 of these cities the female median is higher than the male median. Points near the diagonal have similar male and female medians.

Table 1

All cities

346 rows · 9 columns · sorted by median age, high to low

Summary

Median age by sex and population for every US city of 100,000 or more on the 2023 ACS five-year estimates. Sort any column or use the filter box to jump to a city by name. Each age figure is a median for that city alone, so that column cannot be averaged into a United States figure.

All cities
	?	?	?	?	?	?	?	?
Scottsdale, Arizona	49.2	0.9	47.6	1.2	50.8	1.1	242,169	118
Cape Coral, Florida	48.7	1.0	47.6	1.5	49.7	1.0	206,387	42
Clearwater, Florida	46.4	1.1	45.6	1.4	47.5	1.3	117,075	58
Hialeah, Florida	45.9	0.6	44.2	1.0	47.7	1.0	221,901	67
San Juan, Puerto Rico	45.2	0.2	43.0	0.3	47.1	0.3	320,691	1,975
Carolina, Puerto Rico	44.8	0.4	42.0	0.7	47.3	0.5	139,051	1,354
Thousand Oaks, California	44.5	1.0	42.5	0.7	46.6	1.1	125,676	60
Ponce, Puerto Rico	44.2	0.9	40.5	0.7	47.3	0.7	109,765	1,858
Bayamón, Puerto Rico	44.0	0.3	39.8	0.5	47.3	0.5	167,312	1,545
Pembroke Pines, Florida	43.7	1.0	41.9	1.3	45.5	1.4	170,557	64
Port St. Lucie, Florida	43.7	0.6	43.2	0.8	44.2	0.8	220,453	73
Huntington Beach, California	43.4	0.8	42.3	1.1	44.2	1.1	196,010	78
Spring Hill, Florida	43.3	0.7	42.2	1.1	44.3	1.1	118,814	2,310
Torrance, California	43.1	0.9	40.9	0.8	45.3	0.9	143,499	65
St. Petersburg, Florida	43.1	0.6	42.7	0.7	43.5	0.8	260,646	54
Fort Lauderdale, Florida	42.9	0.9	43.2	1.0	42.5	1.1	183,032	56
Urban Honolulu, Hawaii	42.9	0.5	41.6	0.6	44.2	0.6	346,323	116
Carlsbad, California	42.8	1.1	41.1	1.3	44.5	1.3	114,500	85
Henderson, Nevada	42.5	0.7	42.9	0.8	42.1	0.8	324,523	51
Sugar Land, Texas	42.5	0.9	42.1	1.3	42.8	1.1	109,735	64
Peoria, Arizona	42.1	0.9	41.3	1.3	43.0	1.1	194,338	207
Simi Valley, California	41.8	0.7	40.8	0.7	43.1	1.0	125,769	77
Centennial, Colorado	41.8	0.7	40.4	1.0	43.0	0.9	107,386	70
Daly City, California	41.7	0.8	40.4	1.0	43.0	1.3	102,560	52
Pompano Beach, Florida	41.7	1.2	41.6	1.2	41.9	2.0	112,212	80
Surprise, Arizona	41.6	0.7	40.6	1.1	42.4	1.0	149,519	64
Metairie, Louisiana	41.5	0.8	40.2	0.7	43.6	1.2	138,995	3,016
Sterling Heights, Michigan	41.5	0.8	40.5	1.0	42.6	1.2	133,473	73
Glendale, California	41.4	0.8	40.3	0.9	42.9	1.1	192,270	67
Highlands Ranch, Colorado	41.4	0.7	40.3	1.0	42.3	0.9	101,437	2,176
Palm Bay, Florida	41.3	1.0	39.6	1.1	42.8	1.7	125,273	104
San Buenaventura (Ventura), California	41.0	1.0	40.3	1.0	41.9	1.7	109,900	62
Hollywood, Florida	41.0	0.8	39.7	0.7	42.3	0.9	152,935	60
Goodyear, Arizona	40.8	1.1	40.0	1.2	41.7	1.4	102,891	62
Springfield, Illinois	40.7	0.5	38.9	1.0	42.3	0.7	113,714	376
Santa Rosa, California	40.5	0.6	39.3	0.8	41.6	0.8	177,216	54
Carmel, Indiana	40.5	0.9	39.8	0.9	41.1	0.9	100,501	198
The Woodlands, Texas	40.5	1.1	39.3	2.2	41.4	1.2	116,916	5,154
Bend, Oregon	40.3	0.8	38.9	1.0	41.4	0.8	101,472	76
Arvada, Colorado	40.2	0.6	38.7	0.7	41.8	0.8	122,835	66
West Palm Beach, Florida	40.2	1.1	38.3	1.2	42.4	1.7	119,508	117
Pasadena, California	40.1	0.6	39.2	0.8	41.5	1.3	136,462	63
West Covina, California	40.1	0.9	37.9	1.2	42.5	0.9	107,436	76
Naperville, Illinois	40.1	0.7	40.0	0.7	40.3	1.3	149,424	393
Vallejo, California	40.0	0.8	38.2	0.9	42.0	0.8	124,637	70
Lakeland, Florida	39.9	1.4	37.5	1.2	42.4	1.5	117,030	64
Burbank, California	39.8	0.8	38.9	1.3	40.9	1.1	105,165	81
Roseville, California	39.8	0.6	38.7	0.6	41.2	0.8	152,438	80
Cary, North Carolina	39.8	0.7	39.0	0.9	40.5	0.7	176,686	139
San Francisco, California	39.7	0.1	39.5	0.2	39.9	0.2	836,321	,
Miami, Florida	39.7	0.6	38.8	0.6	40.8	0.6	446,663	77
Garden Grove, California	39.6	0.6	38.7	0.9	40.5	0.7	170,603	85
Miramar, Florida	39.5	0.6	39.2	1.2	39.8	0.8	135,986	63
Plano, Texas	39.3	0.5	38.8	0.6	39.8	0.7	287,339	74
Spring Valley, Nevada	39.2	0.7	38.2	0.7	40.4	0.8	219,913	5,139
Columbia, Maryland	39.1	0.8	37.3	1.2	40.4	1.0	105,871	2,631
Elk Grove, California	39.0	0.5	38.0	0.9	40.2	0.8	177,221	134
Quincy, Massachusetts	39.0	0.7	38.3	1.0	40.0	1.2	101,361	35
Paradise, Nevada	39.0	0.7	39.0	1.0	39.0	0.9	186,178	4,601
Rio Rancho, New Mexico	39.0	0.6	38.3	0.7	39.9	0.7	106,533	72
Yonkers, New York	39.0	0.8	37.3	1.3	40.7	1.0	209,529	81
Fremont, California	38.8	0.4	38.7	0.5	39.0	0.6	228,518	57
Albuquerque, New Mexico	38.7	0.3	37.2	0.4	40.1	0.4	562,488	118
Concord, California	38.6	0.8	37.6	1.0	39.7	1.1	124,260	42
Overland Park, Kansas	38.6	0.5	37.5	0.7	39.6	0.6	197,199	94
Lee's Summit, Missouri	38.6	0.9	38.0	1.2	38.9	1.0	102,583	51
Portland, Oregon	38.6	0.3	38.5	0.3	38.6	0.3	642,715	699
Las Vegas, Nevada	38.5	0.3	37.9	0.4	39.1	0.4	650,873	108
Allen, Texas	38.5	1.1	38.2	1.5	38.8	1.2	107,684	44
New Orleans, Louisiana	38.4	0.2	37.8	0.2	38.9	0.2	376,035	,
Independence, Missouri	38.4	1.1	37.2	1.0	39.6	1.2	121,944	74
Carrollton, Texas	38.4	0.8	37.4	0.7	39.5	0.9	132,741	170
Bellevue, Washington	38.3	0.6	36.8	0.9	39.8	0.9	151,199	61
Hayward, California	38.2	0.6	36.9	0.8	39.4	1.0	159,201	69
Menifee, California	38.2	1.2	36.2	1.4	40.2	1.8	107,020	63
Stamford, Connecticut	38.2	0.6	37.3	1.1	38.8	0.8	135,806	40
Boise City, Idaho	38.2	0.6	37.2	0.7	39.3	0.8	235,701	54
Topeka, Kansas	38.2	0.6	37.1	0.8	39.2	0.8	126,103	43
Antioch, California	38.1	1.0	38.2	1.2	37.9	1.3	115,759	110
El Monte, California	38.1	1.0	37.0	1.3	39.3	1.1	107,066	113
Oceanside, California	38.1	0.6	36.3	1.2	40.0	0.9	172,542	76
San Jose, California	38.1	0.2	37.2	0.3	39.1	0.3	990,054	201
Santa Clarita, California	38.1	0.7	37.2	1.0	38.9	0.9	229,021	97
Vacaville, California	38.1	0.8	38.1	1.1	38.1	1.0	102,085	63
Pueblo, Colorado	38.1	0.6	36.1	0.7	40.5	1.0	111,514	51
Miami Gardens, Florida	38.1	1.1	36.5	1.1	40.0	1.8	111,264	111
Evansville, Indiana	38.1	0.6	36.5	1.0	39.0	0.8	116,441	34
Billings, Montana	38.1	0.6	37.3	0.8	38.9	1.1	118,321	43
Frisco, Texas	38.1	0.5	37.7	0.7	38.5	0.7	210,238	162
San Mateo, California	38.0	0.7	36.3	0.7	40.1	1.1	103,555	58
Lakewood, Colorado	38.0	0.6	36.6	0.7	39.7	0.8	156,309	154
New York, New York	38.0	0.1	36.7	0.1	39.3	0.1	8,516,202	,
Rancho Cucamonga, California	37.9	0.7	36.4	0.9	39.5	1.2	174,693	83
Warren, Michigan	37.9	0.9	37.0	1.0	39.0	1.2	138,128	56
Manchester, New Hampshire	37.9	1.0	37.4	1.2	38.5	1.3	115,415	61
Waterbury, Connecticut	37.8	1.3	35.9	1.5	39.8	1.4	114,356	39
Davenport, Iowa	37.8	0.5	37.2	0.6	38.6	0.8	101,083	34
High Point, North Carolina	37.8	1.0	36.2	1.8	38.6	1.1	115,263	63
Mobile, Alabama	37.7	0.7	35.8	0.9	39.2	0.8	185,097	52
Louisville/Jefferson County metro government (balance), Kentucky	37.7	0.3	36.6	0.3	38.9	0.4	627,210	145
League City, Texas	37.7	0.6	36.2	1.4	38.6	0.9	114,885	119
Chesapeake, Virginia	37.7	0.2	36.5	0.3	38.7	0.3	251,153	,
Oakland, California	37.6	0.3	37.2	0.3	38.1	0.4	438,072	58
Richmond, California	37.6	1.0	36.3	0.9	38.8	0.9	115,396	54
Spokane Valley, Washington	37.6	1.0	36.6	1.6	38.6	1.7	105,460	71
Inglewood, California	37.5	1.1	36.4	1.4	38.6	1.4	105,575	57
Westminster, Colorado	37.5	0.6	36.5	0.8	38.7	1.1	115,546	83
Rockford, Illinois	37.5	0.9	36.0	0.9	38.9	0.9	147,649	300
Shreveport, Louisiana	37.5	0.6	35.9	0.7	38.8	0.6	183,483	60
Wilmington, North Carolina	37.5	0.7	36.4	0.6	38.7	0.9	118,578	53
Alexandria, Virginia	37.5	0.2	37.2	0.3	37.8	0.3	156,788	,
Vancouver, Washington	37.5	0.6	36.1	0.8	39.0	0.7	192,696	110
Chandler, Arizona	37.4	0.6	36.5	0.6	38.5	0.8	278,123	77
Meridian, Idaho	37.4	1.2	36.5	1.3	38.5	1.5	124,865	75
Virginia Beach, Virginia	37.4	0.2	36.0	0.2	39.0	0.3	457,066	,
Corona, California	37.3	0.6	36.1	1.1	38.2	0.9	158,839	97
Reno, Nevada	37.3	0.5	36.9	0.7	37.6	0.5	268,959	101
Tacoma, Washington	37.3	0.6	36.6	0.7	38.1	0.7	220,482	73
Mesa, Arizona	37.2	0.5	35.8	0.5	38.6	0.6	507,478	87
Brandon, Florida	37.2	0.9	36.1	1.0	38.8	1.4	116,365	3,137
Davie, Florida	37.2	1.0	36.2	1.2	38.2	1.1	106,412	62
Fishers, Indiana	37.2	0.7	36.4	1.0	37.9	0.9	100,918	35
Akron, Ohio	37.2	0.5	35.9	0.7	38.3	0.8	189,526	76
Gresham, Oregon	37.2	1.0	35.5	1.3	39.1	1.5	112,818	58
Spokane, Washington	37.2	0.5	36.3	0.6	38.0	0.7	229,228	74
Escondido, California	37.1	0.8	36.4	0.7	38.0	1.1	149,913	83
Sandy Springs, Georgia	37.1	1.0	36.3	1.0	38.7	1.3	107,198	40
Lafayette, Louisiana	37.1	0.9	35.5	0.8	38.2	1.2	121,537	75
Everett, Washington	37.1	0.9	36.0	1.3	38.3	1.1	111,083	80
Chula Vista, California	37.0	0.7	36.2	0.8	37.8	0.8	275,030	61
Downey, California	37.0	1.0	36.1	1.0	37.8	1.3	111,793	61
New Bedford, Massachusetts	37.0	0.9	35.3	1.0	38.8	1.0	100,731	62
Broken Arrow, Oklahoma	37.0	0.6	36.3	0.6	37.7	0.9	115,919	85
Los Angeles, California	36.9	0.1	36.3	0.2	37.6	0.2	3,857,897	75
Orange, California	36.9	0.8	36.5	0.8	37.4	1.2	138,723	68
Coral Springs, Florida	36.9	1.0	35.7	1.1	38.3	1.1	133,962	64
Cedar Rapids, Iowa	36.9	0.7	36.5	0.8	37.2	0.8	136,859	60
Sparks, Nevada	36.9	1.0	35.1	1.2	38.9	1.1	109,106	75
Fairfield, California	36.8	0.7	36.1	1.1	37.9	1.2	119,985	50
Long Beach, California	36.8	0.4	36.2	0.5	37.3	0.4	458,491	71
Lynn, Massachusetts	36.8	1.0	35.5	1.0	37.7	0.9	100,905	83
McKinney, Texas	36.7	0.5	36.3	0.7	37.1	0.8	202,314	65
Macon-Bibb County, Georgia	36.6	0.3	34.8	0.2	38.2	0.3	156,543	,
Olathe, Kansas	36.6	0.8	35.7	0.9	37.4	0.8	143,720	63
St. Louis, Missouri	36.6	0.2	36.3	0.2	36.9	0.3	293,109	,
Chattanooga, Tennessee	36.6	0.6	34.9	0.4	38.2	0.8	182,832	79
Costa Mesa, California	36.5	0.7	36.3	1.0	36.6	1.0	110,538	83
Norwalk, California	36.5	0.8	35.1	1.3	37.9	1.2	100,713	59
Brockton, Massachusetts	36.5	0.8	35.5	1.1	37.3	0.9	105,080	50
Pearland, Texas	36.5	0.7	35.9	1.1	37.0	0.9	125,983	75
Hampton, Virginia	36.5	0.3	34.7	0.2	38.3	0.6	137,334	,
Renton, Washington	36.5	0.7	36.3	0.9	36.9	1.2	105,279	70
Huntsville, Alabama	36.4	0.6	35.4	0.5	37.9	0.8	218,814	61
Little Rock, Arkansas	36.4	0.6	34.5	1.0	37.8	0.7	202,739	78
Bridgeport, Connecticut	36.4	0.7	35.8	0.7	37.2	1.2	148,012	100
Jacksonville, Florida	36.4	0.2	35.2	0.1	37.9	0.2	961,739	52
Rochester, Minnesota	36.4	0.5	35.7	0.4	37.0	0.5	121,638	72
Temecula, California	36.3	0.6	36.1	1.0	36.5	0.7	110,404	64
Elgin, Illinois	36.3	1.4	35.3	1.5	37.2	1.3	114,106	399
Cleveland, Ohio	36.3	0.5	35.5	0.6	37.2	0.7	367,523	61
Corpus Christi, Texas	36.3	0.3	35.2	0.2	37.8	0.5	317,383	78
Montgomery, Alabama	36.2	0.4	33.9	0.5	38.4	0.6	198,440	40
Enterprise, Nevada	36.2	0.5	36.1	0.8	36.3	0.6	232,043	5,278
Concord, North Carolina	36.2	1.2	33.7	1.7	38.0	1.0	106,518	49
Round Rock, Texas	36.2	0.9	35.2	1.1	36.9	0.9	124,288	898
Fullerton, California	36.1	0.8	35.7	0.8	37.0	1.5	141,278	65
Baltimore, Maryland	36.1	0.2	34.8	0.1	37.3	0.2	577,193	,
Charleston, South Carolina	36.1	0.6	34.3	0.7	37.5	1.0	152,014	77
Murrieta, California	36.0	1.0	34.6	1.5	37.5	1.3	111,621	63
San Diego, California	36.0	0.2	35.4	0.3	36.8	0.3	1,385,061	147
Riverview, Florida	36.0	0.8	34.8	1.6	37.1	1.3	107,776	3,794
Birmingham, Alabama	35.9	0.8	34.1	0.9	38.1	1.3	199,322	646
Anaheim, California	35.9	0.4	35.2	0.5	36.7	0.8	344,553	138
Peoria, Illinois	35.8	0.6	34.5	0.8	37.0	0.6	112,126	429
Elizabeth, New Jersey	35.8	0.6	35.0	1.2	37.6	0.8	135,887	79
Gilbert, Arizona	35.7	0.6	35.1	0.7	36.3	0.7	271,118	101
Sacramento, California	35.7	0.3	34.9	0.3	36.7	0.4	524,802	252
South Fulton, Georgia	35.7	1.5	34.2	1.5	37.4	1.3	109,157	51
Chicago, Illinois	35.7	0.2	35.2	0.3	36.2	0.2	2,707,648	72
Wichita, Kansas	35.7	0.3	34.8	0.3	36.7	0.4	396,488	82
Kansas City, Missouri	35.7	0.3	35.0	0.5	36.3	0.4	508,233	121
Toledo, Ohio	35.7	0.4	34.7	0.4	37.2	0.8	268,461	64
Salem, Oregon	35.7	0.7	34.7	0.7	36.7	0.7	176,666	96
Green Bay, Wisconsin	35.7	0.6	35.1	0.7	36.5	0.7	106,585	91
Colorado Springs, Colorado	35.6	0.3	34.4	0.3	36.9	0.4	483,099	79
Tampa, Florida	35.6	0.4	35.6	0.5	35.6	0.4	393,389	134
Winston-Salem, North Carolina	35.6	0.4	34.6	0.5	36.3	0.5	250,887	68
El Cajon, California	35.5	0.8	34.4	1.3	36.3	1.3	104,909	94
Lowell, Massachusetts	35.5	0.7	34.9	0.9	36.1	1.0	114,799	46
Tulsa, Oklahoma	35.5	0.2	34.5	0.3	36.5	0.3	412,322	129
Tyler, Texas	35.5	0.9	33.5	1.0	37.3	1.7	107,718	63
Arlington, Virginia	35.5	0.1	35.3	0.2	35.8	0.2	235,463	,
Seattle, Washington	35.5	0.2	35.2	0.3	35.8	0.3	741,440	121
Modesto, California	35.4	0.5	34.4	0.7	36.6	0.8	218,614	91
Pomona, California	35.4	0.8	34.9	1.1	36.0	1.1	148,391	54
Eugene, Oregon	35.4	0.6	35.0	0.6	35.9	0.9	177,520	70
Clovis, California	35.3	0.7	34.2	0.9	36.4	1.0	122,719	69
Joliet, Illinois	35.3	0.7	34.4	1.0	36.0	0.8	149,785	914
Omaha, Nebraska	35.3	0.2	34.5	0.2	36.1	0.3	488,197	68
Beaumont, Texas	35.3	0.8	33.9	0.9	37.6	1.2	113,710	63
Kent, Washington	35.3	0.7	34.1	0.7	36.8	0.9	135,015	73
Denver, Colorado	35.2	0.1	35.1	0.1	35.2	0.1	713,734	,
Aurora, Illinois	35.2	0.6	34.0	1.2	36.2	0.8	179,867	480
Lexington-Fayette urban county, Kentucky	35.2	0.1	34.3	0.2	36.1	0.2	321,122	,
Sunnyvale, California	35.1	0.5	34.6	0.7	35.8	0.9	153,455	92
Aurora, Colorado	35.1	0.3	34.5	0.3	36.0	0.5	390,201	117
Orlando, Florida	35.1	0.5	34.6	0.7	35.6	0.6	311,732	141
Columbus, Georgia	35.1	0.1	33.6	0.4	36.4	0.5	204,383	,
Detroit, Michigan	35.1	0.3	33.8	0.4	36.5	0.5	636,644	159
Philadelphia, Pennsylvania	35.1	0.1	33.9	0.2	36.3	0.1	1,582,432	,
Sioux Falls, South Dakota	35.1	0.3	34.4	0.4	35.8	0.4	197,642	66
San Tan Valley, Arizona	35.0	0.8	34.6	0.8	35.6	0.9	105,231	2,932
Fort Wayne, Indiana	35.0	0.5	33.7	0.5	36.5	0.5	266,235	395
Oklahoma City, Oklahoma	35.0	0.2	34.1	0.3	35.8	0.3	688,693	148
Amarillo, Texas	35.0	0.4	33.7	0.5	36.1	0.5	200,945	43
Anchorage, Alaska	34.9	0.1	34.2	0.2	35.7	0.2	289,069	,
Washington, District of Columbia	34.9	0.1	34.8	0.1	35.0	0.1	672,079	,
Augusta-Richmond County consolidated government (balance), Georgia	34.9	0.1	32.4	0.4	36.9	0.5	201,504	20
Phoenix, Arizona	34.8	0.2	34.3	0.2	35.3	0.3	1,624,832	112
Newark, New Jersey	34.8	0.4	33.8	0.5	36.1	0.5	307,188	49
Durham, North Carolina	34.8	0.2	34.0	0.4	35.5	0.2	288,465	163
Hillsboro, Oregon	34.8	0.6	34.2	0.7	35.6	1.1	107,050	43
Lewisville, Texas	34.8	0.7	34.3	0.7	35.6	1.0	128,313	470
Lehigh Acres, Florida	34.7	0.8	33.9	1.3	35.2	0.8	127,391	3,339
Jackson, Mississippi	34.7	0.5	33.2	0.8	36.3	0.6	149,827	70
Jersey City, New Jersey	34.7	0.3	34.4	0.3	35.1	0.4	289,691	57
Raleigh, North Carolina	34.7	0.3	33.7	0.4	35.9	0.6	470,763	429
Garland, Texas	34.7	0.8	33.5	0.9	35.9	1.2	245,298	145
Tucson, Arizona	34.6	0.3	33.4	0.4	36.0	0.4	543,348	98
Des Moines, Iowa	34.6	0.3	34.4	0.5	34.9	0.5	212,464	185
San Antonio, Texas	34.6	0.2	33.5	0.2	35.8	0.3	1,458,954	118
Glendale, Arizona	34.5	0.7	33.1	0.9	36.2	0.9	250,193	86
Santa Clara, California	34.5	0.5	34.1	0.6	34.9	0.8	129,239	65
Austin, Texas	34.5	0.2	34.5	0.2	34.6	0.2	967,862	373
Richmond, Virginia	34.5	0.1	34.2	0.2	34.8	0.1	227,595	,
Charlotte, North Carolina	34.4	0.2	33.6	0.2	35.2	0.2	886,283	226
Nashville-Davidson metropolitan government (balance), Tennessee	34.4	0.1	34.2	0.2	34.8	0.1	684,298	77
Santa Ana, California	34.3	0.5	33.7	0.6	35.3	0.7	311,639	89
Thornton, Colorado	34.3	0.6	33.6	0.7	35.0	0.9	142,878	77
North Las Vegas, Nevada	34.3	0.6	33.6	0.7	35.0	0.7	270,773	64
Buffalo, New York	34.3	0.5	33.6	0.4	35.1	0.6	276,397	65
North Charleston, South Carolina	34.3	1.1	33.3	0.8	35.5	0.8	117,460	80
Memphis, Tennessee	34.3	0.2	32.8	0.4	35.9	0.4	629,063	84
Houston, Texas	34.3	0.2	34.1	0.2	34.5	0.2	2,300,419	172
Lancaster, California	34.2	0.8	32.7	1.1	35.7	1.0	170,013	62
Dayton, Ohio	34.2	0.7	33.6	1.0	34.7	0.8	136,741	70
Newport News, Virginia	34.2	0.2	32.5	0.3	36.0	0.2	184,774	,
Nampa, Idaho	34.1	0.8	33.4	0.8	35.0	1.0	106,289	52
Indianapolis city (balance), Indiana	34.1	0.1	33.1	0.2	35.1	0.2	882,043	878
Worcester, Massachusetts	34.1	0.6	32.9	0.6	35.6	0.9	205,501	74
Sunrise Manor, Nevada	34.1	0.7	33.4	0.9	34.7	1.0	199,099	3,940
Greensboro, North Carolina	34.1	0.4	32.5	0.6	35.2	0.6	298,564	102
El Paso, Texas	34.1	0.2	32.6	0.3	35.8	0.3	678,147	153
East Los Angeles, California	34.0	0.9	32.4	1.2	35.6	1.1	114,617	3,058
Oxnard, California	34.0	0.5	33.7	0.6	34.3	0.6	201,014	62
Atlanta, Georgia	34.0	0.3	34.0	0.4	34.1	0.5	499,287	90
Kansas City, Kansas	34.0	0.3	33.5	0.4	34.5	0.3	154,776	26
McAllen, Texas	34.0	0.9	31.6	1.1	36.4	1.0	143,789	56
Richardson, Texas	34.0	0.8	33.4	0.9	34.6	1.0	118,269	91
Irvine, California	33.9	0.5	33.5	0.6	34.5	0.6	308,160	117
South Bend, Indiana	33.9	0.6	33.0	0.8	35.2	1.3	102,866	612
Jurupa Valley, California	33.8	0.6	33.6	0.7	34.1	0.9	106,244	54
Stockton, California	33.7	0.5	32.7	0.5	34.5	0.5	320,470	131
Savannah, Georgia	33.7	0.6	33.1	0.8	34.2	0.6	147,546	85
Springfield, Massachusetts	33.7	0.7	30.8	0.7	35.6	0.7	154,751	91
Springfield, Missouri	33.6	0.6	32.6	0.7	34.8	0.8	169,432	92
Arlington, Texas	33.6	0.4	32.5	0.6	34.9	0.6	394,769	103
Visalia, California	33.5	0.7	32.9	0.8	33.9	0.8	142,649	1,065
Lansing, Michigan	33.5	0.5	32.9	0.9	34.3	0.8	112,546	66
St. Paul, Minnesota	33.5	0.3	33.4	0.3	33.6	0.3	307,762	48
Rochester, New York	33.5	0.5	32.2	0.6	34.5	0.6	209,720	114
Pittsburgh, Pennsylvania	33.5	0.4	33.0	0.5	34.2	0.5	303,620	57
Grand Prairie, Texas	33.5	0.7	32.2	1.1	34.6	1.1	198,564	92
Hartford, Connecticut	33.4	0.7	31.2	1.1	35.7	0.8	119,970	53
Lincoln, Nebraska	33.4	0.2	32.5	0.3	34.2	0.3	291,932	71
Dallas, Texas	33.4	0.2	33.2	0.3	33.7	0.3	1,299,553	141
Fort Worth, Texas	33.4	0.3	33.0	0.4	33.8	0.3	941,311	527
Mesquite, Texas	33.4	0.9	31.9	0.9	35.1	1.2	148,848	473
Fontana, California	33.3	0.6	32.0	0.7	35.0	0.9	211,921	98
Paterson, New Jersey	33.3	0.6	32.5	0.6	34.2	0.7	157,660	137
Knoxville, Tennessee	33.3	0.6	32.1	0.7	34.9	0.7	193,721	80
Palmdale, California	33.2	0.9	31.6	1.1	34.6	1.2	165,487	66
Boston, Massachusetts	33.2	0.1	32.8	0.2	33.6	0.2	663,972	76
Ontario, California	33.1	0.6	33.0	0.8	33.1	0.8	178,347	66
Riverside, California	33.1	0.5	32.0	0.6	34.3	0.6	316,241	115
West Jordan, Utah	33.1	0.7	32.0	1.0	34.0	0.8	116,277	73
Minneapolis, Minnesota	33.0	0.3	33.3	0.3	32.8	0.4	426,845	69
Cincinnati, Ohio	33.0	0.4	32.2	0.5	34.1	0.4	309,595	63
Columbus, Ohio	33.0	0.2	32.6	0.3	33.3	0.2	906,480	134
Wichita Falls, Texas	33.0	0.4	31.8	0.6	35.1	0.7	102,558	39
Salt Lake City, Utah	33.0	0.5	33.3	0.7	32.8	0.7	203,888	77
Berkeley, California	32.9	0.7	32.9	0.8	32.9	1.3	120,223	50
Hesperia, California	32.9	0.9	32.0	1.0	33.8	1.5	100,141	44
Providence, Rhode Island	32.9	0.7	32.0	1.0	33.5	0.6	190,214	61
Abilene, Texas	32.8	0.5	32.4	0.6	33.3	0.6	127,130	262
Irving, Texas	32.8	0.5	32.5	0.6	33.2	0.6	255,036	57
Pasadena, Texas	32.8	0.8	32.3	1.2	33.3	1.0	149,345	59
Las Cruces, New Mexico	32.7	0.8	31.8	1.0	33.6	1.1	112,612	86
Dearborn, Michigan	32.6	0.8	31.1	0.8	34.2	1.0	107,846	57
Greeley, Colorado	32.5	0.6	31.7	0.8	33.1	1.0	109,421	62
Fresno, California	32.4	0.2	31.8	0.3	33.1	0.4	543,615	107
Allentown, Pennsylvania	32.4	0.6	31.7	0.5	33.2	0.9	125,320	53
Norfolk, Virginia	32.4	0.2	30.9	0.2	34.3	0.2	235,037	,
Fargo, North Dakota	32.2	0.5	32.1	0.6	32.2	0.8	129,064	49
Milwaukee, Wisconsin	32.2	0.2	31.3	0.2	33.2	0.3	569,756	49
Moreno Valley, California	32.1	0.5	31.1	0.6	33.3	0.7	210,378	68
Salinas, California	32.1	0.5	31.5	0.6	32.7	0.8	161,993	109
Grand Rapids, Michigan	32.1	0.5	31.9	0.6	32.3	0.6	197,768	88
Victorville, California	32.0	1.1	30.6	1.7	33.3	1.2	135,983	80
Bakersfield, California	31.9	0.4	30.9	0.5	32.8	0.5	408,366	97
San Bernardino, California	31.9	0.6	31.4	0.6	32.3	0.6	221,774	88
New Haven, Connecticut	31.9	0.7	30.9	0.9	32.5	0.6	132,893	76
Albany, New York	31.9	0.7	31.5	0.9	32.5	1.2	100,081	48
Syracuse, New York	31.9	0.5	31.6	0.5	32.3	0.8	146,211	65
Rialto, California	31.8	0.8	30.9	0.9	33.3	1.4	103,866	60
Baton Rouge, Louisiana	31.8	0.8	30.6	0.7	33.0	1.1	223,699	58
Madison, Wisconsin	31.8	0.3	31.6	0.4	32.1	0.4	275,568	76
Norman, Oklahoma	31.6	0.9	30.4	0.9	33.0	1.2	128,714	76
Midland, Texas	31.6	0.5	31.6	0.6	31.5	0.7	133,998	47
Murfreesboro, Tennessee	31.4	0.6	30.4	0.7	32.6	0.6	157,547	53
Chico, California	31.0	0.7	29.9	0.5	32.4	0.9	102,032	57
Denton, Texas	31.0	0.7	30.8	1.0	31.2	1.0	146,987	68
Odessa, Texas	31.0	0.6	30.5	0.6	31.7	0.9	114,080	49
Brownsville, Texas	30.9	0.5	29.2	0.8	32.7	1.1	188,023	90
Fayetteville, North Carolina	30.7	0.3	28.4	0.3	33.3	0.5	209,692	87
Fort Collins, Colorado	30.6	0.4	30.3	0.4	31.1	0.8	169,705	63
Cambridge, Massachusetts	30.5	0.4	30.1	0.5	31.0	0.7	117,794	60
Clarksville, Tennessee	30.4	0.2	29.6	0.3	31.2	0.5	171,897	51
Lubbock, Texas	30.4	0.2	29.5	0.3	31.4	0.4	261,078	49
West Valley City, Utah	30.3	0.7	29.8	0.7	30.8	1.3	137,955	55
Killeen, Texas	30.0	0.4	28.8	0.6	31.5	0.8	156,144	60
Tempe, Arizona	29.9	0.5	29.3	0.6	30.5	0.5	186,419	81
Edinburg, Texas	29.9	0.9	29.3	1.3	30.3	0.9	102,561	51
Laredo, Texas	29.7	0.1	28.8	0.3	30.7	0.3	255,949	41
Santa Maria, California	29.3	0.5	28.7	0.8	29.9	0.7	109,880	48
Athens-Clarke County unified government (balance), Georgia	29.2	0.2	28.8	0.3	29.7	0.2	126,987	688
Columbia, Missouri	29.2	0.5	28.9	0.5	29.5	0.6	127,200	64
Waco, Texas	29.2	0.6	27.7	0.8	30.8	0.9	141,925	137
Boulder, Colorado	28.8	0.6	28.3	0.8	29.4	0.6	106,274	49
Columbia, South Carolina	28.7	0.4	28.3	0.6	29.1	0.6	138,019	187
Tuscaloosa, Alabama	28.2	1.1	26.7	1.3	29.5	0.7	107,699	46
Tallahassee, Florida	28.0	0.4	27.7	0.6	28.2	0.5	199,696	118
Ann Arbor, Michigan	27.7	0.4	27.4	0.6	28.0	0.6	121,179	50
Gainesville, Florida	26.5	0.5	26.3	0.6	26.9	0.7	143,611	98
Provo, Utah	23.7	0.2	24.0	0.2	23.3	0.2	114,303	48
College Station, Texas	22.9	0.2	22.7	0.3	23.2	0.4	122,280	66

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Figure 1

Median age, US cities

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Figure 2

Median age, all published cities

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Figure 3

Male median age against female median age

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Table 1

All cities

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About this data

A city is included when the ACS published at least 100,000 residents in the 2023 five-year estimates. Smaller places are left out.
Median age is the midpoint of the age distribution for people in that city. A median of these city figures is a typical-city figure, not a United States median. These numbers cannot be averaged to produce a national figure.
The Census published a median age for every city in this set. None of the age figures were suppressed.
In most cities the female median is higher than the male median (335 of 346).
The map covers the 48 contiguous states. Cities in Alaska, Hawaii and Puerto Rico stay in the ranking and table.
For some cities the ACS does not publish a population margin of error (code *****): the estimate is controlled to official counts, so a sampling error is not applicable. Those cells are shown as a dash, not as −555,555,555. That applies to 20 cities in this set.

In short

Median age, US cities

Median age, all published cities

Male median age against female median age

All cities

About this data