Summary

Average household size, US cities

Average household size by city · all 346 cities · hover or tap a city for every figure on this page

CitiesJurupa Valley, California

Summary

Darker amber is a higher average household size. 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 an average household size of 2.53 people, the midpoint of this list on the 2023 ACS five-year estimates. Jurupa Valley, California leads at 3.88, and St. Louis, Missouri is the lowest at 1.96. 49 cities reach 3.00 people per occupied housing unit and 39 sit under 2.20. A midpoint of city averages is not a United States household size.

2.53typical citypeople per occupied housing unit, the middle city, not a US average

3.88Jurupa Valley, Californiahighest average household size

1.96St. Louis, Missourilowest average household size in this set

49cities at 3.00 or higherof 346 cities with 100,000 or more people

Figure 1

Average household size, all published cities

Average household size · all 346 · ranked high to low

Summary

Every incorporated or Census place with at least 100,000 residents, 346 in all. Jurupa Valley, California leads at 3.88 people per occupied housing unit, then Santa Ana, California at 3.86 and Oxnard, California at 3.84. St. Louis, Missouri is lowest at 1.96. The middle city sits at 2.53. 49 cities clear 3.00. Each figure is that city's own average on the 2023 ACS five-year estimates.

Figure 2

Owner-occupied household size, all published cities

Owner-occupied household size · all 346 · ranked high to low

Summary

Owner-occupied housing units in every published city in this set, 346 in all. Jurupa Valley, California leads at 4.08 people, then Rialto, California at 4.00 and Santa Ana, California at 3.96. Alexandria, Virginia is lowest at 2.13. Owner-occupied households are larger than renter-occupied households in 324 of 346 cities with both figures.

Figure 3

Owner size against renter size

Renter-occupied household size against owner-occupied household size · one point per row, 346 of 346 plotted

Summary

Each point is one city with both figures published, 346 of 346. Owner-occupied households are larger than renter-occupied households in 324 cities. The relationship is strong: the correlation coefficient is 0.87, so owner size accounts for about 76 per cent of the variation in renter size. The widest gap is Frisco, Texas, where owners average 3.16 people and renters 2.18. The narrowest is Santa Maria, California, at 3.47 versus 4.00.

Table 1

All cities

346 rows · 6 columns · sorted by average household size, high to low

Summary

Average household size for occupied, owner-occupied and renter-occupied housing units, plus population, for every US city (Census place) with at least 100,000 residents on the 2023 ACS five-year estimates. Sort any column or use the filter box to jump to a city by name. Each household-size figure is an average for that city alone, so those columns cannot be averaged into a United States figure.

All cities
	?	?	?	?	?
Jurupa Valley, California	3.88	0.10	4.08	3.41	106,244
Santa Ana, California	3.86	0.06	3.96	3.78	311,639
Oxnard, California	3.84	0.07	3.77	3.91	201,014
Rialto, California	3.84	0.09	4.00	3.55	103,866
Moreno Valley, California	3.82	0.06	3.86	3.77	210,378
East Los Angeles, California	3.74	0.08	3.87	3.67	114,617
Santa Maria, California	3.73	0.10	3.47	4.00	109,880
Fontana, California	3.70	0.06	3.73	3.63	211,921
Norwalk, California	3.67	0.08	3.79	3.42	100,713
Salinas, California	3.66	0.06	3.40	3.90	161,993
El Monte, California	3.57	0.07	3.54	3.58	107,066
Palmdale, California	3.55	0.07	3.64	3.39	165,487
West Valley City, Utah	3.54	0.10	3.63	3.32	137,955
Victorville, California	3.51	0.12	3.55	3.46	135,983
Garden Grove, California	3.45	0.07	3.54	3.35	170,603
Pomona, California	3.44	0.08	3.52	3.34	148,391
Hesperia, California	3.42	0.09	3.50	3.27	100,141
San Bernardino, California	3.39	0.06	3.59	3.20	221,774
Ontario, California	3.37	0.07	3.41	3.31	178,347
Laredo, Texas	3.32	0.02	3.47	3.05	255,949
Lehigh Acres, Florida	3.30	0.07	3.29	3.31	127,391
Corona, California	3.28	0.05	3.44	3.00	158,839
Riverside, California	3.27	0.04	3.42	3.07	316,241
West Covina, California	3.27	0.06	3.32	3.18	107,436
Elk Grove, California	3.22	0.05	3.25	3.12	177,221
Anaheim, California	3.20	0.04	3.24	3.16	344,553
Chula Vista, California	3.20	0.05	3.31	3.04	275,030
Stockton, California	3.20	0.04	3.25	3.13	320,470
Downey, California	3.19	0.07	3.36	3.02	111,793
Miami Gardens, Florida	3.19	0.08	3.28	3.00	111,264
West Jordan, Utah	3.19	0.06	3.31	2.76	116,277
Brownsville, Texas	3.19	0.05	3.28	3.05	188,023
Bakersfield, California	3.16	0.04	3.28	2.97	408,366
Daly City, California	3.15	0.08	3.27	2.97	102,560
Hayward, California	3.15	0.06	3.17	3.12	159,201
Lancaster, California	3.15	0.06	3.28	2.97	170,013
North Las Vegas, Nevada	3.14	0.05	3.19	3.05	270,773
Paterson, New Jersey	3.14	0.05	3.54	3.00	157,660
San Tan Valley, Arizona	3.13	0.08	3.11	3.20	105,231
Murrieta, California	3.13	0.06	3.25	2.86	111,621
Fairfield, California	3.11	0.07	3.14	3.08	119,985
Temecula, California	3.11	0.07	3.12	3.10	110,404
Antioch, California	3.10	0.07	3.04	3.20	115,759
Sunrise Manor, Nevada	3.09	0.05	3.16	3.01	199,099
Menifee, California	3.05	0.07	3.09	2.87	107,020
Miramar, Florida	3.05	0.08	3.17	2.79	135,986
Visalia, California	3.04	0.07	3.03	3.04	142,649
Garland, Texas	3.03	0.05	3.08	2.94	245,298
Santa Clarita, California	3.02	0.05	3.06	2.91	229,021
El Cajon, California	2.99	0.07	2.94	3.02	104,909
Coral Springs, Florida	2.99	0.08	3.02	2.95	133,962
Modesto, California	2.98	0.04	3.00	2.94	218,614
San Jose, California	2.98	0.02	3.09	2.85	990,054
Provo, Utah	2.98	0.05	3.29	2.78	114,303
Pasadena, Texas	2.98	0.07	3.00	2.95	149,345
Clovis, California	2.97	0.06	3.09	2.73	122,719
Fresno, California	2.97	0.02	3.04	2.90	543,615
Dearborn, Michigan	2.97	0.07	3.08	2.73	107,846
Rancho Cucamonga, California	2.96	0.05	3.11	2.71	174,693
Allen, Texas	2.96	0.07	3.17	2.45	107,684
Grand Prairie, Texas	2.96	0.07	3.24	2.58	198,564
McAllen, Texas	2.96	0.07	3.15	2.67	143,789
Gilbert, Arizona	2.95	0.04	3.07	2.60	271,118
Orange, California	2.95	0.06	2.95	2.94	138,723
Aurora, Illinois	2.95	0.05	3.03	2.79	179,867
Fremont, California	2.94	0.04	3.01	2.83	228,518
Mesquite, Texas	2.94	0.06	3.13	2.62	148,848
Elizabeth, New Jersey	2.93	0.06	3.34	2.79	135,887
Fullerton, California	2.91	0.05	2.91	2.91	141,278
Escondido, California	2.90	0.06	2.95	2.84	149,913
Joliet, Illinois	2.90	0.05	3.09	2.40	149,785
Brockton, Massachusetts	2.90	0.06	3.11	2.63	105,080
Elgin, Illinois	2.89	0.06	2.90	2.86	114,106
Sugar Land, Texas	2.89	0.06	3.00	2.47	109,735
Pearland, Texas	2.88	0.05	3.07	2.25	125,983
Inglewood, California	2.87	0.07	3.09	2.74	105,575
Thornton, Colorado	2.87	0.05	2.99	2.55	142,878
Kent, Washington	2.85	0.06	2.84	2.86	135,015
Hialeah, Florida	2.84	0.04	2.97	2.74	221,901
Concord, North Carolina	2.84	0.07	2.95	2.62	106,518
Glendale, Arizona	2.83	0.04	2.99	2.62	250,193
Enterprise, Nevada	2.83	0.05	2.91	2.69	232,043
Frisco, Texas	2.83	0.04	3.16	2.18	210,238
McKinney, Texas	2.83	0.04	3.05	2.45	202,314
Richmond, California	2.82	0.07	2.85	2.78	115,396
Riverview, Florida	2.82	0.07	2.84	2.77	107,776
Edinburg, Texas	2.82	0.09	3.03	2.59	102,561
Simi Valley, California	2.81	0.05	2.91	2.54	125,769
Palm Bay, Florida	2.80	0.06	2.76	2.96	125,273
Oceanside, California	2.79	0.05	2.83	2.73	172,542
Vacaville, California	2.79	0.06	2.84	2.67	102,085
Vallejo, California	2.79	0.05	2.80	2.78	124,637
Nampa, Idaho	2.78	0.06	2.84	2.64	106,289
Port St. Lucie, Florida	2.77	0.04	2.74	2.91	220,453
Arlington, Texas	2.77	0.04	2.95	2.55	394,769
El Paso, Texas	2.77	0.02	2.91	2.56	678,147
Lynn, Massachusetts	2.76	0.06	3.02	2.49	100,905
Fort Worth, Texas	2.76	0.02	3.03	2.42	941,311
South Fulton, Georgia	2.75	0.11	2.78	2.70	109,157
Fishers, Indiana	2.74	0.05	2.89	2.27	100,918
Goodyear, Arizona	2.73	0.07	2.74	2.67	102,891
Surprise, Arizona	2.73	0.05	2.66	2.97	149,519
Meridian, Idaho	2.73	0.06	2.82	2.45	124,865
Olathe, Kansas	2.73	0.04	2.91	2.24	143,720
The Woodlands, Texas	2.73	0.07	2.90	2.28	116,916
Aurora, Colorado	2.71	0.02	2.73	2.67	390,201
Davie, Florida	2.71	0.06	2.76	2.63	106,412
Naperville, Illinois	2.71	0.04	2.91	2.13	149,424
Tyler, Texas	2.71	0.06	2.91	2.47	107,718
Kansas City, Kansas	2.70	0.03	2.82	2.52	154,776
Rio Rancho, New Mexico	2.70	0.04	2.70	2.72	106,533
Irving, Texas	2.69	0.04	3.06	2.46	255,036
Concord, California	2.68	0.06	2.67	2.72	124,260
Greeley, Colorado	2.68	0.05	2.78	2.53	109,421
Chesapeake, Virginia	2.67	0.02	2.77	2.39	251,153
League City, Texas	2.67	0.05	2.86	2.11	114,885
Phoenix, Arizona	2.66	0.02	2.80	2.48	1,624,832
Thousand Oaks, California	2.66	0.04	2.69	2.59	125,676
Highlands Ranch, Colorado	2.66	0.04	2.77	2.24	101,437
Irvine, California	2.65	0.04	2.81	2.52	308,160
Pembroke Pines, Florida	2.65	0.06	2.70	2.53	170,557
Los Angeles, California	2.64	0.01	2.95	2.47	3,857,897
Broken Arrow, Oklahoma	2.64	0.04	2.73	2.40	115,919
Round Rock, Texas	2.64	0.07	2.89	2.32	124,288
Peoria, Arizona	2.63	0.04	2.68	2.45	194,338
Las Vegas, Nevada	2.63	0.02	2.71	2.54	650,873
Sparks, Nevada	2.63	0.06	2.68	2.57	109,106
Gresham, Oregon	2.63	0.07	2.79	2.43	112,818
Carmel, Indiana	2.62	0.06	2.84	1.98	100,501
Murfreesboro, Tennessee	2.62	0.04	2.83	2.37	157,547
Corpus Christi, Texas	2.62	0.02	2.75	2.43	317,383
San Antonio, Texas	2.62	0.01	2.84	2.36	1,458,954
Anchorage, Alaska	2.61	0.02	2.73	2.41	289,069
Chandler, Arizona	2.61	0.03	2.71	2.43	278,123
Long Beach, California	2.61	0.03	2.77	2.50	458,491
Roseville, California	2.61	0.03	2.72	2.35	152,438
Spring Hill, Florida	2.61	0.04	2.64	2.46	118,814
Augusta-Richmond County, Georgia	2.61	0.04	2.70	2.51	201,504
Killeen, Texas	2.61	0.05	2.84	2.39	156,144
Costa Mesa, California	2.60	0.06	2.68	2.55	110,538
Glendale, California	2.60	0.05	2.76	2.51	192,270
Bridgeport, Connecticut	2.60	0.04	2.69	2.53	148,012
Allentown, Pennsylvania	2.60	0.05	2.57	2.62	125,320
Carlsbad, California	2.59	0.05	2.65	2.48	114,500
Sunnyvale, California	2.59	0.05	2.79	2.43	153,455
Cape Coral, Florida	2.59	0.05	2.55	2.73	206,387
Lowell, Massachusetts	2.59	0.05	2.77	2.45	114,799
Newark, New Jersey	2.59	0.04	2.90	2.49	307,188
Cary, North Carolina	2.59	0.04	2.77	2.25	176,686
Clarksville, Tennessee	2.59	0.03	2.68	2.47	171,897
Plano, Texas	2.59	0.03	2.79	2.33	287,339
Sacramento, California	2.58	0.02	2.76	2.40	524,802
Sterling Heights, Michigan	2.58	0.04	2.73	2.09	133,473
Lee's Summit, Missouri	2.58	0.06	2.73	2.16	102,583
Carrollton, Texas	2.58	0.05	2.78	2.32	132,741
Santa Clara, California	2.57	0.04	2.85	2.37	129,239
Springfield, Massachusetts	2.57	0.05	2.70	2.44	154,751
Mesa, Arizona	2.56	0.03	2.60	2.49	507,478
San Mateo, California	2.56	0.06	2.60	2.51	103,555
Torrance, California	2.56	0.04	2.69	2.40	143,499
Yonkers, New York	2.56	0.05	2.53	2.59	209,529
San Buenaventura (Ventura), California	2.55	0.05	2.67	2.39	109,900
San Diego, California	2.55	0.01	2.71	2.40	1,385,061
Centennial, Colorado	2.55	0.04	2.64	2.15	107,386
Columbia, Maryland	2.55	0.05	2.68	2.32	105,871
Hillsboro, Oregon	2.55	0.05	2.66	2.44	107,050
Denton, Texas	2.55	0.05	2.76	2.34	146,987
Lewisville, Texas	2.55	0.05	2.95	2.20	128,313
Santa Rosa, California	2.54	0.03	2.51	2.57	177,216
Warren, Michigan	2.53	0.05	2.54	2.51	138,128
Henderson, Nevada	2.53	0.04	2.60	2.41	324,523
Renton, Washington	2.53	0.05	2.75	2.27	105,279
Amarillo, Texas	2.53	0.03	2.70	2.28	200,945
Brandon, Florida	2.52	0.05	2.65	2.37	116,365
Macon-Bibb County, Georgia	2.52	0.04	2.61	2.43	156,543
Spring Valley, Nevada	2.52	0.04	2.58	2.45	219,913
Waco, Texas	2.52	0.04	2.75	2.30	141,925
Huntington Beach, California	2.51	0.04	2.57	2.43	196,010
Hollywood, Florida	2.51	0.05	2.65	2.30	152,935
New York, New York	2.51	0.01	2.76	2.38	8,516,202
Salem, Oregon	2.51	0.04	2.61	2.40	176,666
Midland, Texas	2.51	0.05	2.77	2.02	133,998
Richardson, Texas	2.51	0.04	2.72	2.29	118,269
Virginia Beach, Virginia	2.50	0.01	2.60	2.32	457,066
Oakland, California	2.49	0.02	2.70	2.34	438,072
Odessa, Texas	2.49	0.05	2.72	2.16	114,080
Stamford, Connecticut	2.48	0.05	2.62	2.36	135,806
Providence, Rhode Island	2.48	0.05	2.75	2.30	190,214
Urban Honolulu, Hawaii	2.47	0.02	2.64	2.31	346,323
Wichita, Kansas	2.47	0.02	2.64	2.23	396,488
Detroit, Michigan	2.47	0.02	2.57	2.36	636,644
Bayamón, Puerto Rico	2.47	0.04	2.49	2.45	167,312
Beaumont, Texas	2.47	0.05	2.55	2.38	113,710
Houston, Texas	2.47	0.01	2.70	2.30	2,300,419
Columbus, Georgia	2.46	0.02	2.56	2.37	204,383
Oklahoma City, Oklahoma	2.46	0.01	2.61	2.24	688,693
Abilene, Texas	2.46	0.04	2.58	2.31	127,130
Arvada, Colorado	2.45	0.04	2.55	2.17	122,835
Waterbury, Connecticut	2.45	0.06	2.58	2.34	114,356
Jacksonville, Florida	2.44	0.01	2.55	2.28	961,739
Orlando, Florida	2.44	0.03	2.59	2.34	311,732
South Bend, Indiana	2.44	0.04	2.47	2.39	102,866
Bellevue, Washington	2.44	0.04	2.64	2.22	151,199
Everett, Washington	2.43	0.06	2.55	2.31	111,083
Spokane Valley, Washington	2.43	0.05	2.50	2.35	105,460
Dallas, Texas	2.43	0.01	2.73	2.21	1,299,553
Burbank, California	2.42	0.06	2.83	2.12	105,165
Worcester, Massachusetts	2.42	0.04	2.53	2.34	205,501
St. Paul, Minnesota	2.42	0.02	2.67	2.14	307,762
Charlotte, North Carolina	2.42	0.01	2.61	2.22	886,283
Memphis, Tennessee	2.42	0.02	2.46	2.38	629,063
Carolina, Puerto Rico	2.42	0.05	2.46	2.33	139,051
College Station, Texas	2.42	0.05	2.64	2.29	122,280
Indianapolis city (balance), Indiana	2.41	0.01	2.62	2.15	882,043
Baton Rouge, Louisiana	2.41	0.04	2.56	2.28	223,699
Paradise, Nevada	2.41	0.04	2.64	2.24	186,178
High Point, North Carolina	2.41	0.06	2.47	2.34	115,263
Westminster, Colorado	2.40	0.04	2.56	2.12	115,546
Winston-Salem, North Carolina	2.40	0.03	2.59	2.17	250,887
Milwaukee, Wisconsin	2.40	0.02	2.54	2.30	569,756
Ponce, Puerto Rico	2.40	0.05	2.44	2.31	109,765
Colorado Springs, Colorado	2.39	0.01	2.51	2.20	483,099
Fort Wayne, Indiana	2.39	0.02	2.54	2.14	266,235
Omaha, Nebraska	2.39	0.01	2.61	2.08	488,197
Las Cruces, New Mexico	2.39	0.04	2.62	2.10	112,612
North Charleston, South Carolina	2.39	0.06	2.47	2.31	117,460
Vancouver, Washington	2.39	0.03	2.46	2.31	192,696
Wichita Falls, Texas	2.39	0.04	2.53	2.21	102,558
Montgomery, Alabama	2.38	0.03	2.39	2.36	198,440
Grand Rapids, Michigan	2.38	0.04	2.58	2.13	197,768
Shreveport, Louisiana	2.37	0.04	2.46	2.26	183,483
Independence, Missouri	2.37	0.05	2.39	2.34	121,944
Fayetteville, North Carolina	2.37	0.02	2.43	2.33	209,692
Lubbock, Texas	2.37	0.02	2.53	2.20	261,078
Tuscaloosa, Alabama	2.36	0.06	2.53	2.22	107,699
Overland Park, Kansas	2.36	0.03	2.65	1.89	197,199
Tulsa, Oklahoma	2.36	0.01	2.48	2.22	412,322
Lakeland, Florida	2.35	0.05	2.39	2.30	117,030
Tampa, Florida	2.35	0.02	2.53	2.17	393,389
Savannah, Georgia	2.35	0.04	2.43	2.29	147,546
Rochester, Minnesota	2.35	0.03	2.56	1.93	121,638
Reno, Nevada	2.35	0.02	2.45	2.25	268,959
Newport News, Virginia	2.35	0.02	2.44	2.26	184,774
Tacoma, Washington	2.35	0.03	2.60	2.01	220,482
Green Bay, Wisconsin	2.35	0.04	2.57	2.06	106,585
Chico, California	2.34	0.04	2.55	2.17	102,032
Rockford, Illinois	2.34	0.03	2.45	2.22	147,649
Louisville/Jefferson County metro government (balance), Kentucky	2.34	0.01	2.42	2.20	627,210
New Orleans, Louisiana	2.34	0.02	2.54	2.14	376,035
New Bedford, Massachusetts	2.34	0.05	2.55	2.20	100,731
Norman, Oklahoma	2.34	0.04	2.49	2.17	128,714
New Haven, Connecticut	2.33	0.05	2.57	2.24	132,893
Jersey City, New Jersey	2.33	0.03	2.56	2.24	289,691
Greensboro, North Carolina	2.33	0.03	2.46	2.19	298,564
Bend, Oregon	2.33	0.04	2.42	2.17	101,472
Chicago, Illinois	2.32	0.01	2.61	2.07	2,707,648
Sioux Falls, South Dakota	2.32	0.02	2.56	1.98	197,642
Mobile, Alabama	2.31	0.04	2.48	2.13	185,097
Pueblo, Colorado	2.31	0.03	2.37	2.23	111,514
Hartford, Connecticut	2.31	0.05	2.75	2.15	119,970
Jackson, Mississippi	2.31	0.03	2.43	2.20	149,827
Lincoln, Nebraska	2.31	0.01	2.59	1.96	291,932
Hampton, Virginia	2.31	0.03	2.42	2.18	137,334
Tucson, Arizona	2.30	0.02	2.45	2.14	543,348
Berkeley, California	2.30	0.05	2.60	2.07	120,223
Pasadena, California	2.30	0.04	2.48	2.18	136,462
Miami, Florida	2.30	0.03	2.52	2.20	446,663
Pompano Beach, Florida	2.30	0.06	2.21	2.40	112,212
Boise City, Idaho	2.30	0.03	2.43	2.08	235,701
Raleigh, North Carolina	2.30	0.02	2.45	2.13	470,763
Spokane, Washington	2.30	0.03	2.45	2.09	229,228
Des Moines, Iowa	2.30	0.03	2.51	1.99	212,464
Columbia, Missouri	2.29	0.03	2.52	2.06	127,200
Billings, Montana	2.29	0.03	2.49	1.92	118,321
Albuquerque, New Mexico	2.29	0.01	2.45	2.04	562,488
Columbus, Ohio	2.29	0.01	2.42	2.18	906,480
Philadelphia, Pennsylvania	2.29	0.01	2.45	2.12	1,582,432
Tempe, Arizona	2.28	0.05	2.42	2.18	186,419
Little Rock, Arkansas	2.28	0.04	2.43	2.11	202,739
West Palm Beach, Florida	2.28	0.06	2.29	2.27	119,508
Kansas City, Missouri	2.28	0.02	2.48	2.02	508,233
Fort Collins, Colorado	2.27	0.03	2.50	2.03	169,705
Clearwater, Florida	2.27	0.05	2.29	2.24	117,075
Metairie, Louisiana	2.27	0.05	2.30	2.24	138,995
Manchester, New Hampshire	2.27	0.03	2.40	2.13	115,415
Norfolk, Virginia	2.27	0.01	2.43	2.15	235,037
Cedar Rapids, Iowa	2.27	0.03	2.36	2.07	136,859
Lafayette, Louisiana	2.25	0.04	2.37	2.11	121,537
Durham, North Carolina	2.25	0.02	2.39	2.09	288,465
Chattanooga, Tennessee	2.25	0.03	2.33	2.17	182,832
Davenport, Iowa	2.25	0.03	2.35	2.09	101,083
San Francisco, California	2.24	0.01	2.58	2.02	836,321
Lexington-Fayette urban county, Kentucky	2.24	0.01	2.38	2.08	321,122
Buffalo, New York	2.24	0.02	2.38	2.14	276,397
San Juan, Puerto Rico	2.24	0.03	2.33	2.13	320,691
Fort Lauderdale, Florida	2.23	0.04	2.26	2.20	183,032
Topeka, Kansas	2.23	0.03	2.35	2.06	126,103
Eugene, Oregon	2.23	0.03	2.38	2.09	177,520
Lakewood, Colorado	2.22	0.03	2.32	2.08	156,309
Baltimore, Maryland	2.22	0.01	2.41	2.04	577,193
Boston, Massachusetts	2.22	0.01	2.37	2.14	663,972
Huntsville, Alabama	2.21	0.03	2.38	1.98	218,814
Peoria, Illinois	2.21	0.04	2.37	1.99	112,126
Akron, Ohio	2.21	0.03	2.20	2.21	189,526
Toledo, Ohio	2.21	0.02	2.27	2.14	268,461
Quincy, Massachusetts	2.20	0.05	2.61	1.86	101,361
Charleston, South Carolina	2.20	0.04	2.35	2.01	152,014
Ann Arbor, Michigan	2.19	0.03	2.27	2.12	121,179
Nashville-Davidson metropolitan government (balance), Tennessee	2.19	0.01	2.29	2.07	684,298
Salt Lake City, Utah	2.19	0.03	2.52	1.90	203,888
Athens-Clarke County unified government (balance), Georgia	2.18	0.02	2.31	2.09	126,987
Lansing, Michigan	2.18	0.03	2.35	1.99	112,546
Syracuse, New York	2.18	0.03	2.31	2.10	146,211
Portland, Oregon	2.18	0.01	2.44	1.88	642,715
Gainesville, Florida	2.17	0.05	2.34	2.06	143,611
St. Petersburg, Florida	2.17	0.03	2.28	1.98	260,646
Tallahassee, Florida	2.17	0.02	2.30	2.09	199,696
Springfield, Illinois	2.17	0.03	2.26	2.01	113,714
Rochester, New York	2.17	0.03	2.26	2.12	209,720
Knoxville, Tennessee	2.17	0.03	2.30	2.06	193,721
Boulder, Colorado	2.16	0.04	2.21	2.12	106,274
Minneapolis, Minnesota	2.16	0.02	2.37	1.96	426,845
Columbia, South Carolina	2.16	0.04	2.26	2.06	138,019
Evansville, Indiana	2.15	0.03	2.25	2.04	116,441
Birmingham, Alabama	2.14	0.04	2.33	1.98	199,322
Dayton, Ohio	2.14	0.04	2.16	2.12	136,741
Austin, Texas	2.14	0.01	2.41	1.93	967,862
Richmond, Virginia	2.13	0.02	2.27	2.01	227,595
Denver, Colorado	2.12	0.01	2.35	1.90	713,734
Cleveland, Ohio	2.11	0.02	2.22	2.03	367,523
Fargo, North Dakota	2.10	0.03	2.45	1.83	129,064
Madison, Wisconsin	2.09	0.02	2.30	1.91	275,568
Arlington, Virginia	2.08	0.02	2.39	1.86	235,463
Cincinnati, Ohio	2.07	0.02	2.28	1.94	309,595
Cambridge, Massachusetts	2.06	0.03	2.21	1.98	117,794
Wilmington, North Carolina	2.06	0.04	2.21	1.93	118,578
Alexandria, Virginia	2.06	0.01	2.13	2.01	156,788
Sandy Springs, Georgia	2.05	0.05	2.28	1.81	107,198
Scottsdale, Arizona	2.04	0.02	2.16	1.79	242,169
Albany, New York	2.04	0.05	2.27	1.89	100,081
Pittsburgh, Pennsylvania	2.03	0.02	2.18	1.90	303,620
Seattle, Washington	2.03	0.01	2.40	1.73	741,440
Atlanta, Georgia	2.01	0.02	2.17	1.88	499,287
Springfield, Missouri	2.01	0.02	2.19	1.87	169,432
Washington, District of Columbia	1.99	0.01	2.21	1.84	672,079
St. Louis, Missouri	1.96	0.02	2.15	1.80	293,109

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Figure 1

Average household size, US cities

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Figure 2

Average household size, all published cities

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Figure 3

Owner-occupied household size, all published cities

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Figure 4

Owner size against renter size

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Table 1

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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.
Average household size is the number of people per occupied housing unit, including people who live alone. It is not the same as average family size, which excludes one-person households.
A city average describes occupied housing units in that place. These city figures cannot be averaged to produce a national figure.
The map covers the 48 contiguous states. Cities in Alaska, Hawaii and Puerto Rico stay in the ranking and table.
These are Census places (cities, towns, villages, CDPs and similar), not metropolitan areas.
Owner-occupied and renter-occupied averages come from the same table (B25010).
Margins of error are the Census Bureau's 90 percent margins. ACS controlled-estimate sentinels such as -555555555 are stored as missing and shown as a dash.
Occupied housing units are households. Group quarters such as college dormitories, nursing homes and prisons are not in this average.
Controlled ACS margins of error (no sampling MOE) appear on 20 measure cells; those margins are left blank.

In short

Average household size, US cities

Average household size, all published cities

Owner-occupied household size, all published cities

Owner size against renter size

All cities

About this data