What the Data Shows
Household count is compared across United States county-level geographies for 2020–2024. Values count households, which correspond to occupied housing units in the ACS household universe. Los Angeles County, California ranks first at 3,416,449 households, ahead of Cook County, Illinois by 1,316,219 households. Clark County, Nevada records 862,518 households, making the first value 3.96 times the last.
Data table
Unit: households · Period: 2020–2024
| Rank | Entry | Value | Period |
|---|
| 1 | Los Angeles County, California | 3.42M | 2020–2024 |
| 2 | Cook County, Illinois | 2.1M | 2020–2024 |
| 3 | Harris County, Texas | 1.76M | 2020–2024 |
| 4 | Maricopa County, Arizona | 1.73M | 2020–2024 |
| 5 | San Diego County, California | 1.17M | 2020–2024 |
| 6 | Orange County, California | 1.08M | 2020–2024 |
| 7 | Kings County, New York | 1.01M | 2020–2024 |
| 8 | Dallas County, Texas | 982.7K | 2020–2024 |
| 9 | Miami-Dade County, Florida | 975.4K | 2020–2024 |
| 10 | King County, Washington | 941.1K | 2020–2024 |
| 11 | Clark County, Nevada | 862.5K | 2020–2024 |
Sources
Data notes & caveats
The 5-year estimates pool survey responses collected from 2020 through 2024 and are not a single-year 2024 snapshot. County geography includes county equivalents such as independent cities. The ranking uses absolute counts rather than rates. Values count households, which correspond to occupied housing units in the ACS household universe. ACS estimates are subject to sampling error; margins of error are not included here.
Methodology
The ranking uses the 2020–2024 ACS 5-year estimate for household count across U.S. counties and county equivalents. Values are ordered from highest to lowest, with equal values retaining tied ranks. National totals and other summary geographies are excluded. Compact labels are rounded for readability without changing the source order.
Source consistency notes
All entries use the same Census source family, ACS 5-year product, 2020–2024 period and measurement unit (households), supporting a like-for-like ranking across the stated geographies.
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