US cities by households
New York, NY had the highest households of 3214 cities in 2023, at 3.31 million. Josephine, TX had the lowest, at 1,437. The median was 9,246 and the figure for the United States was 127.48 million. Source: the U.S. Census Bureau.
Top 40 cities, 2023
Full ranking
| Rank | Cities | 2023 | Change on 2022 |
|---|---|---|---|
| 1 | New York, NY | 3,313,316 | +0.9% |
| 2 | Los Angeles, CA | 1,419,663 | +1.4% |
| 3 | Chicago, IL | 1,146,547 | +1.5% |
| 4 | Houston, TX | 916,536 | +2.1% |
| 5 | Philadelphia, PA | 669,222 | +1.5% |
| 6 | Phoenix, AZ | 601,397 | +1.7% |
| 7 | San Antonio, TX | 547,883 | +0.9% |
| 8 | Dallas, TX | 528,038 | +1.3% |
| 9 | San Diego, CA | 522,146 | +1.3% |
| 10 | Austin, TX | 440,294 | +4.1% |
| 11 | Columbus, OH | 386,581 | +1.2% |
| 12 | Jacksonville, FL | 384,741 | +2.4% |
| 13 | San Francisco, CA | 362,650 | +0.5% |
| 14 | Charlotte, NC | 361,100 | +1.9% |
| 15 | Indianapolis, IN | 359,665 | +0.9% |
| 16 | Seattle, WA | 353,019 | +2.3% |
| 17 | Fort Worth, TX | 334,230 | +2.3% |
| 18 | Denver, CO | 329,578 | +2% |
| 19 | San Jose, CA | 326,767 | +0.6% |
| 20 | Nashville, TN | 303,539 | +4% |
| 21 | Portland, OR | 287,030 | +1.1% |
| 22 | Boston, MA | 279,216 | +1.1% |
| 23 | Oklahoma City, OK | 275,193 | +1.9% |
| 24 | Louisville, KY | 262,740 | +0.6% |
| 25 | Memphis, TN | 254,530 | +1.2% |
| 26 | Detroit, MI | 253,207 | +1.5% |
| 27 | Baltimore, MD | 250,608 | +1.4% |
| 28 | Las Vegas, NV | 244,429 | +1.6% |
| 29 | El Paso, TX | 242,482 | +1.2% |
| 30 | Albuquerque, NM | 242,117 | +1% |
| 31 | Atlanta, GA | 231,504 | +1.8% |
| 32 | Milwaukee, WI | 231,084 | +0.1% |
| 33 | Tucson, AZ | 225,095 | +2% |
| 34 | Kansas City, MO | 219,486 | +1.4% |
| 35 | Omaha, NE | 199,926 | +1.1% |
| 36 | Sacramento, CA | 199,401 | +1.5% |
| 37 | Colorado Springs, CO | 198,070 | +2.5% |
| 38 | Raleigh, NC | 196,924 | +3.7% |
| 39 | Mesa, AZ | 196,065 | +1.4% |
| 40 | Miami, FL | 190,282 | +2.2% |
| 41 | Minneapolis, MN | 188,944 | +1.8% |
| 42 | Virginia Beach, VA | 179,800 | +0.5% |
| 43 | Fresno, CA | 179,684 | +1.1% |
| 44 | Oakland, CA | 173,179 | +1.7% |
| 45 | Tulsa, OK | 171,382 | +0.9% |
| 46 | Long Beach, CA | 171,309 | +0.7% |
| 47 | Cleveland, OH | 168,652 | +0.5% |
| 48 | Tampa, FL | 160,527 | +2.2% |
| 49 | Wichita, KS | 157,646 | +1% |
| 50 | New Orleans, LA | 155,060 | -0.4% |
| 51 | St. Louis, MO | 144,450 | +1% |
| 52 | Aurora, CO | 143,179 | +1.5% |
| 53 | Cincinnati, OH | 142,810 | +1.3% |
| 54 | Arlington, TX | 140,408 | +2.1% |
| 55 | Lexington, KY | 137,803 | +1.2% |
| 56 | Pittsburgh, PA | 137,593 | +0.3% |
| 57 | Honolulu, HI | 136,228 | +1.5% |
| 58 | Bakersfield, CA | 127,626 | +2.3% |
| 59 | Henderson, NV | 127,507 | +2.3% |
| 60 | Orlando, FL | 126,665 | +3.3% |
| 61 | Madison, WI | 125,787 | +4.4% |
| 62 | Durham, NC | 123,318 | +2.4% |
| 63 | Jersey City, NJ | 123,132 | +3.2% |
| 64 | St. Paul, MN | 123,067 | +1.5% |
| 65 | Greensboro, NC | 121,189 | +0.9% |
| 66 | Lincoln, NE | 120,698 | +2% |
| 67 | Buffalo, NY | 119,548 | +0.5% |
| 68 | Toledo, OH | 118,508 | +0.8% |
| 69 | Corpus Christi, TX | 118,038 | +0.4% |
| 70 | Scottsdale, AZ | 117,787 | +1.7% |
| 71 | St. Petersburg, FL | 116,772 | +2.6% |
| 72 | Newark, NJ | 113,748 | +1% |
| 73 | Reno, NV | 112,061 | +1.4% |
| 74 | Irvine, CA | 111,979 | +1.4% |
| 75 | Plano, TX | 110,522 | +2.9% |
| 76 | Fort Wayne, IN | 109,604 | +1.7% |
| 77 | Anchorage, AK | 107,868 | +0.7% |
| 78 | Chandler, AZ | 105,867 | +1.4% |
| 79 | Anaheim, CA | 105,819 | +1.1% |
| 80 | Lubbock, TX | 105,259 | +2.3% |
| 81 | Richmond, VA | 102,145 | +0.9% |
| 82 | Winston-Salem, NC | 100,278 | +1.5% |
| 83 | Boise City, ID | 99,616 | +1.8% |
| 84 | Stockton, CA | 98,295 | +1.4% |
| 85 | Spokane, WA | 96,602 | +0.6% |
| 86 | Norfolk, VA | 94,457 | +0.7% |
| 87 | Irving, TX | 94,252 | +1.5% |
| 88 | Huntsville, AL | 94,058 | +1.9% |
| 89 | Riverside, CA | 92,368 | +2% |
| 90 | Chesapeake, VA | 92,361 | +1.1% |
| 91 | Rochester, NY | 92,228 | +1% |
| 92 | Gilbert, AZ | 91,712 | +1.6% |
| 93 | Tacoma, WA | 91,612 | +2.7% |
| 94 | Des Moines, IA | 90,085 | +1.3% |
| 95 | Salt Lake City, UT | 88,932 | +4.1% |
| 96 | Birmingham, AL | 88,527 | +4.2% |
| 97 | Baton Rouge, LA | 87,607 | +0.1% |
| 98 | Little Rock, AR | 86,853 | +0.6% |
| 99 | Glendale, AZ | 86,733 | +1.6% |
| 100 | North Las Vegas, NV | 85,814 | +3.2% |
| 101 | Chula Vista, CA | 85,193 | +2.6% |
| 102 | Knoxville, TN | 84,882 | +0.8% |
| 103 | Akron, OH | 83,854 | -0.1% |
| 104 | Tallahassee, FL | 83,637 | +2.2% |
| 105 | Overland Park, KS | 82,965 | +0.9% |
| 106 | Sioux Falls, SD | 82,836 | +3.9% |
| 107 | Fayetteville, NC | 81,499 | +0.8% |
| 108 | Garland, TX | 80,811 | +1.3% |
| 109 | Columbus, GA | 80,600 | +0.9% |
| 110 | Fort Lauderdale, FL | 80,575 | +0.7% |
| 111 | Yonkers, NY | 80,550 | -1.1% |
| 112 | Montgomery, AL | 80,540 | +1.3% |
| 113 | Grand Rapids, MI | 79,944 | +1.2% |
| 114 | Vancouver, WA | 79,747 | +3% |
| 115 | Santa Ana, CA | 79,691 | +2.8% |
| 116 | Springfield, MO | 79,439 | +0.5% |
| 117 | Cape Coral, FL | 79,258 | +3.1% |
| 118 | Port St. Lucie, FL | 79,185 | +5.6% |
| 119 | Worcester, MA | 79,089 | +0.1% |
| 120 | Amarillo, TX | 78,612 | -0% |
| 121 | Chattanooga, TN | 77,916 | +1.2% |
| 122 | Mobile, AL | 77,587 | -0.3% |
| 123 | Huntington Beach, CA | 77,549 | -0.1% |
| 124 | Hialeah, FL | 77,294 | +1.4% |
| 125 | Tempe, AZ | 77,053 | +1.8% |
| 126 | Fremont, CA | 77,019 | +2.7% |
| 127 | Laredo, TX | 76,259 | +2.5% |
| 128 | Eugene, OR | 76,140 | +0.8% |
| 129 | Newport News, VA | 75,798 | +0.4% |
| 130 | Shreveport, LA | 75,353 | +0.2% |
| 131 | Alexandria, VA | 75,349 | +0.7% |
| 132 | Santa Clarita, CA | 75,281 | +2.6% |
| 133 | Frisco, TX | 74,081 | +5.1% |
| 134 | Augusta, GA | 73,493 | +1.4% |
| 135 | Glendale, CA | 73,179 | +0.1% |
| 136 | Peoria, AZ | 73,165 | +2% |
| 137 | Modesto, CA | 72,418 | +0.9% |
| 138 | McKinney, TX | 70,787 | +3.8% |
| 139 | Fort Collins, CO | 70,782 | +1.2% |
| 140 | Providence, RI | 70,313 | +1.7% |
| 141 | Lakewood, CO | 69,296 | +1.7% |
| 142 | Santa Rosa, CA | 68,234 | +0.2% |
| 143 | Cary, NC | 67,964 | +2.8% |
| 144 | Salem, OR | 67,028 | +1.1% |
| 145 | Grand Prairie, TX | 66,943 | +1.8% |
| 146 | Charleston, SC | 66,408 | +1.9% |
| 147 | Clarksville, TN | 64,863 | +4.4% |
| 148 | Pembroke Pines, FL | 63,994 | +1.9% |
| 149 | San Bernardino, CA | 63,133 | +1% |
| 150 | Jackson, MS | 61,956 | -0.2% |
| 151 | Rockford, IL | 61,481 | +0.4% |
| 152 | Bellevue, WA | 61,433 | +0.9% |
| 153 | Oceanside, CA | 61,417 | -0.4% |
| 154 | Hollywood, FL | 60,456 | +0.5% |
| 155 | Aurora, IL | 60,396 | -0.2% |
| 156 | Killeen, TX | 59,824 | +3.9% |
| 157 | Macon, GA | 59,681 | +0.3% |
| 158 | Syracuse, NY | 59,286 | +1.5% |
| 159 | Cedar Rapids, IA | 58,870 | +1% |
| 160 | Sunnyvale, CA | 58,791 | +0.2% |
| 161 | Savannah, GA | 58,632 | +1.7% |
| 162 | Fargo, ND | 58,629 | +3.1% |
| 163 | Murfreesboro, TN | 58,567 | +2% |
| 164 | Brownsville, TX | 58,518 | +2.9% |
| 165 | Gainesville, FL | 58,176 | +5.4% |
| 166 | Springfield, MA | 58,046 | -0.7% |
| 167 | Dayton, OH | 57,953 | +1% |
| 168 | Rancho Cucamonga, CA | 57,945 | +0.7% |
| 169 | Roseville, CA | 57,921 | +3.2% |
| 170 | Hampton, VA | 57,740 | +0.5% |
| 171 | Pasadena, CA | 57,131 | +1.9% |
| 172 | Fontana, CA | 57,111 | +2.2% |
| 173 | Kansas City, KS | 56,853 | 0% |
| 174 | Bridgeport, CT | 55,498 | -0.1% |
| 175 | Torrance, CA | 55,317 | -0.7% |
| 176 | Wilmington, NC | 55,145 | +3.3% |
| 177 | Moreno Valley, CA | 54,808 | +1.6% |
| 178 | Elk Grove, CA | 54,707 | -0.2% |
| 179 | Surprise, AZ | 54,442 | +2.7% |
| 180 | Topeka, KS | 54,303 | 0% |
| 181 | Naperville, IL | 54,286 | +0.9% |
| 182 | Stamford, CT | 54,165 | +1.2% |
| 183 | Warren, MI | 54,076 | -0.7% |
| 184 | Denton, TX | 53,983 | +3.3% |
| 185 | New Haven, CT | 53,424 | +0.8% |
| 186 | Athens, GA | 53,397 | +1.5% |
| 187 | Waco, TX | 52,980 | +1.4% |
| 188 | Midland, TX | 52,780 | +2.6% |
| 189 | Ontario, CA | 52,664 | +1.7% |
| 190 | Lafayette, LA | 52,480 | +2% |
| 191 | Evansville, IN | 52,284 | +0.4% |
| 192 | Lancaster, CA | 52,183 | -0.3% |
| 193 | Sandy Springs, GA | 52,035 | +1.6% |
| 194 | Olathe, KS | 51,985 | +1.9% |
| 195 | Oxnard, CA | 51,798 | +1.4% |
| 196 | Columbia, SC | 51,784 | +3.1% |
| 197 | Norman, OK | 51,489 | +0.3% |
| 198 | Sterling Heights, MI | 51,407 | +0.8% |
| 199 | Columbia, MO | 51,381 | +0.8% |
| 200 | Lansing, MI | 51,129 | +2% |
| 201 | Carrollton, TX | 51,059 | +1.4% |
| 202 | Independence, MO | 50,925 | -0.6% |
| 203 | Springfield, IL | 50,803 | +0.2% |
| 204 | Escondido, CA | 50,658 | -1.2% |
| 204 | Rochester, MN | 50,658 | +0.8% |
| 206 | Joliet, IL | 50,648 | +1.7% |
| 207 | West Palm Beach, FL | 50,518 | +2.4% |
| 208 | Mesquite, TX | 50,362 | 0% |
| 209 | Billings, MT | 50,340 | +2.3% |
| 210 | Lewisville, TX | 50,147 | +2.9% |
| 211 | Clearwater, FL | 49,909 | +0.6% |
| 212 | Ann Arbor, MI | 49,907 | -0.4% |
| 213 | Pasadena, TX | 49,791 | +0.5% |
| 214 | Arvada, CO | 49,766 | -0.9% |
| 215 | Paterson, NJ | 49,688 | 0% |
| 216 | Cambridge, MA | 49,592 | +0.2% |
| 217 | Thornton, CO | 49,579 | +2.3% |
| 218 | Manchester, NH | 49,546 | +2.3% |
| 219 | Hayward, CA | 49,470 | -0.1% |
| 220 | Hartford, CT | 49,023 | +1.5% |
| 221 | Peoria, IL | 48,950 | +0.8% |
| 222 | Garden Grove, CA | 48,650 | +1% |
| 223 | Santa Clara, CA | 48,601 | +2.5% |
| 224 | McAllen, TX | 48,268 | +2.5% |
| 225 | Corona, CA | 48,083 | +3.4% |
| 226 | Westminster, CO | 47,995 | +2.1% |
| 227 | North Charleston, SC | 47,528 | +3.5% |
| 228 | Fullerton, CA | 47,484 | +1% |
| 229 | Pompano Beach, FL | 47,403 | +3% |
| 230 | Round Rock, TX | 46,764 | +3.6% |
| 231 | Berkeley, CA | 46,762 | +2.1% |
| 232 | Kent, WA | 46,727 | +2.2% |
| 233 | Abilene, TX | 46,682 | +1.4% |
| 234 | Las Cruces, NM | 46,661 | +3% |
| 235 | Palmdale, CA | 46,502 | -0.2% |
| 236 | Visalia, CA | 46,466 | +1.5% |
| 237 | Santa Monica, CA | 46,457 | +0.5% |
| 238 | Lakeland, FL | 46,339 | +4.5% |
| 239 | Thousand Oaks, CA | 46,268 | +0.3% |
| 240 | Pueblo, CO | 46,106 | +0.7% |
| 241 | Allentown, PA | 46,039 | +1.1% |
| 242 | Waterbury, CT | 45,962 | -0% |
| 243 | Elizabeth, NJ | 45,932 | +1% |
| 244 | Concord, CA | 45,635 | +0.1% |
| 245 | Quincy, MA | 45,571 | +1.4% |
| 246 | Meridian, ID | 45,486 | +6.2% |
| 247 | Richardson, TX | 45,444 | +0.5% |
| 248 | High Point, NC | 45,043 | +2.3% |
| 249 | Odessa, TX | 44,987 | +2.7% |
| 250 | Beaumont, TX | 44,915 | -1.2% |
Other periods
About this ranking
Number of households, which equals the number of occupied housing units. United States: American Community Survey five-year estimate, where the period shown is the last year of the five-year span.
People living in group quarters, such as college dormitories, nursing homes and prisons, are not in households.
Every value in the ranking comes from the same publisher and the same period, so the cities are compared on one definition. 5 cities with data in other periods have no value for 2023 and are left out rather than filled from another source. Equal values share a rank.
How to cite
U.S. Census Bureau. American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat. Retrieved 2026-10-12.
Citation styles
APA 7
U.S. Census Bureau. (2026). American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more) (US cities by households, 2023) [Data set]. Retrieved October 12, 2026, from https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat
MLA 9
American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more), US cities by households, 2023. U.S. Census Bureau, 29 Jan. 2026, https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat. Invokely, https://invokely.ai/rankings/households/us-cities?period=2023. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more). US cities by households, 2023. Dataset. Accessed October 12, 2026. https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat. Also distributed by Invokely, https://invokely.ai/rankings/households/us-cities?period=2023.
Harvard
U.S. Census Bureau (2026) American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more), US cities by households, 2023 [Dataset]. Available at: https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat, via Invokely: https://invokely.ai/rankings/households/us-cities?period=2023 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_cities_by_households_2023,
author = {{U.S. Census Bureau}},
title = {{American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more): US cities by households, 2023}},
year = {2026},
howpublished = {Data set},
url = {https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/households/us-cities?period=2023. Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary\_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - U.S. Census Bureau
TI - American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more): US cities by households, 2023
PY - 2026
DA - 2026/01/29
PB - U.S. Census Bureau
DB - Invokely
UR - https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat
L2 - https://invokely.ai/rankings/households/us-cities?period=2023
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/households/us-cities?period=2023.
N1 - Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary_file/2023/table-based-SF/data/5YRData/acsdt5y2023-b25003.dat. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
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Rank US cities by households using official data, and cite the source.
rank_places {"indicator":"households","level":"municipality","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=households&level=municipality&within=United%20States&limit=10
Questions
Which city has the highest households?
New York, NY, with 3.31 million in 2023, according to the U.S. Census Bureau.
Which city has the lowest households?
Josephine, TX, with 1,437 in 2023.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, American Community Survey 5-year estimates, table B25003: occupied housing units (households), US cities (incorporated places of 10,000 or more). Retrieved 2026-10-12. 5 cities have no value for 2023 and are not ranked.
Households: other rankings
- Cities in Arkansas
- Cities in Idaho
- Cities in Oklahoma
- Counties in Massachusetts
- Counties in Ohio
- Counties in New York
US cities: more rankings
- Rent-burdened renter households (rent 30 percent or more of income)
- Single-family housing units authorized by building permits
- Average household size
- Housing vacancy rate, all vacant units (US)
- Residents who moved from another state in the past year
- Residents who moved from another county in the past year
- Gini index
- Black or African American population share