County and county-equivalent populations
Explore 3,144 county equivalents across the 50 states and DC. Filter official annual estimates by state, population, growth and density.
Population totals use July 1, 2025 observations from PEP Vintage 2025. Change is measured since July 1, 2024. County equivalents are included, including Connecticut planning regions. Missing density is displayed as unavailable, never as zero.
Population table and filters
Whole-dataset downloads| Place | Population · 2025 | Change · 2024–25 | Growth · 2024–25 | People / sq. mi. |
|---|---|---|---|---|
| Los Angeles CountyCalifornia · County equivalent · 06037 | 9,694,934 | -53,934 | -0.55% | 2,387.7 |
| Cook CountyIllinois · County equivalent · 17031 | 5,194,625 | +5,834 | +0.11% | 5,497.4 |
| Harris CountyTexas · County equivalent · 48201 | 5,045,026 | +48,695 | +0.97% | 2,955.3 |
| Maricopa CountyArizona · County equivalent · 04013 | 4,689,558 | +35,411 | +0.76% | 509.6 |
| San Diego CountyCalifornia · County equivalent · 06073 | 3,282,248 | -5,294 | -0.16% | 779.5 |
| Orange CountyCalifornia · County equivalent · 06059 | 3,149,507 | -8,520 | -0.27% | 3,970.4 |
| Miami-Dade CountyFlorida · County equivalent · 12086 | 2,802,029 | -10,115 | -0.36% | 1,474.8 |
| Dallas CountyTexas · County equivalent · 48113 | 2,661,397 | -2,616 | -0.10% | 3,047.9 |
| Kings CountyNew York · County equivalent · 36047 | 2,653,963 | -4,694 | -0.18% | 38,254.5 |
| Riverside CountyCalifornia · County equivalent · 06065 | 2,544,916 | +15,804 | +0.62% | 353.0 |
| Clark CountyNevada · County equivalent · 32003 | 2,407,226 | +21,480 | +0.90% | 305.0 |
| Queens CountyNew York · County equivalent · 36081 | 2,358,182 | -8,852 | -0.37% | 21,689.6 |
| King CountyWashington · County equivalent · 53033 | 2,344,939 | +26,980 | +1.16% | 1,108.3 |
| Tarrant CountyTexas · County equivalent · 48439 | 2,248,466 | +18,428 | +0.83% | 2,598.2 |
| San Bernardino CountyCalifornia · County equivalent · 06071 | 2,224,091 | +5,327 | +0.24% | 110.8 |
| Bexar CountyTexas · County equivalent · 48029 | 2,160,088 | +21,146 | +0.99% | 1,741.4 |
| Broward CountyFlorida · County equivalent · 12011 | 2,013,317 | -372 | -0.02% | 1,673.6 |
| Santa Clara CountyCalifornia · County equivalent · 06085 | 1,914,391 | +6,481 | +0.34% | 1,482.8 |
| Wayne CountyMichigan · County equivalent · 26163 | 1,769,038 | +3,504 | +0.20% | 2,891.3 |
| Middlesex CountyMassachusetts · County equivalent · 25017 | 1,669,979 | +6,050 | +0.36% | 2,041.8 |
| New York CountyNew York · County equivalent · 36061 | 1,664,862 | -648 | -0.04% | 73,478.0 |
| Alameda CountyCalifornia · County equivalent · 06001 | 1,636,630 | +6 | +0.00% | 2,219.3 |
| Sacramento CountyCalifornia · County equivalent · 06067 | 1,618,460 | +8,563 | +0.53% | 1,676.5 |
| Palm Beach CountyFlorida · County equivalent · 12099 | 1,575,726 | +1,578 | +0.10% | 802.2 |
| Philadelphia CountyPennsylvania · County equivalent · 42101 | 1,574,281 | +1,546 | +0.10% | 11,719.9 |
| Hillsborough CountyFlorida · County equivalent · 12057 | 1,574,115 | +2,917 | +0.19% | 1,539.4 |
| Suffolk CountyNew York · County equivalent · 36103 | 1,546,090 | +2,760 | +0.18% | 1,697.2 |
| Orange CountyFlorida · County equivalent · 12095 | 1,528,002 | +7,014 | +0.46% | 1,692.0 |
| Bronx CountyNew York · County equivalent · 36005 | 1,406,332 | +280 | +0.02% | 33,324.3 |
| Nassau CountyNew York · County equivalent · 36059 | 1,398,939 | +1,156 | +0.08% | 4,916.4 |
| Travis CountyTexas · County equivalent · 48453 | 1,389,670 | +14,749 | +1.07% | 1,397.6 |
| Franklin CountyOhio · County equivalent · 39049 | 1,361,536 | +8,880 | +0.66% | 2,557.3 |
| Collin CountyTexas · County equivalent · 48085 | 1,297,179 | +42,966 | +3.43% | 1,541.5 |
| Oakland CountyMichigan · County equivalent · 26125 | 1,288,337 | +5,788 | +0.45% | 1,485.2 |
| Hennepin CountyMinnesota · County equivalent · 27053 | 1,284,784 | +7,700 | +0.60% | 2,319.0 |
| Wake CountyNorth Carolina · County equivalent · 37183 | 1,257,235 | +27,760 | +2.26% | 1,506.1 |
| Mecklenburg CountyNorth Carolina · County equivalent · 37119 | 1,233,383 | +26,554 | +2.20% | 2,355.6 |
| Cuyahoga CountyOhio · County equivalent · 39035 | 1,232,925 | -689 | -0.06% | 2,696.5 |
| Allegheny CountyPennsylvania · County equivalent · 42003 | 1,225,035 | -2,139 | -0.17% | 1,678.2 |
| Salt Lake CountyUtah · County equivalent · 49035 | 1,220,916 | +3,462 | +0.28% | 1,621.7 |
| Contra Costa CountyCalifornia · County equivalent · 06013 | 1,170,070 | +536 | +0.05% | 1,632.1 |
| Fairfax CountyVirginia · County equivalent · 51059 | 1,167,873 | +8,067 | +0.70% | 2,986.7 |
| Fulton CountyGeorgia · County equivalent · 13121 | 1,098,791 | +8,323 | +0.76% | 2,085.5 |
| Pima CountyArizona · County equivalent · 04019 | 1,074,685 | +1,229 | +0.11% | 117.0 |
| Montgomery CountyMaryland · County equivalent · 24031 | 1,074,582 | +1,537 | +0.14% | 2,179.1 |
| Denton CountyTexas · County equivalent · 48121 | 1,069,346 | +23,120 | +2.21% | 1,216.9 |
| Duval CountyFlorida · County equivalent · 12031 | 1,062,963 | +8,231 | +0.78% | 1,393.7 |
| Fresno CountyCalifornia · County equivalent · 06019 | 1,035,456 | +1,758 | +0.17% | 173.8 |
| Gwinnett CountyGeorgia · County equivalent · 13135 | 1,018,099 | +8,235 | +0.82% | 2,361.4 |
| Westchester CountyNew York · County equivalent · 36119 | 1,015,743 | +6,578 | +0.65% | 2,357.7 |
Use these comparisons consistently
A larger population does not necessarily mean faster growth. Absolute change measures the number of residents gained or lost; percentage change divides that difference by the starting population. The percentage column here covers one July-to-July interval, rather than a decade or a partial calendar year. Percent growth is suppressed where the starting population is zero.
Density divides the unrounded July 1, 2025 population by matching 2025 Gazetteer land area. It is measured in people per square mile and excludes water area. These geographic averages depend on the size and definition of each unit, so a county’s density is not directly comparable to a built-up city neighborhood.
County-equivalent names and units vary by state. Connecticut planning regions are represented in the current series; linking older county series requires a documented relationship. Incorporated places may cross county boundaries and do not form an exhaustive county breakdown.
Exports contain the current page’s visible rows after filtering, with reference date and release metadata. Use whole-dataset downloads for every row or select a compatible comparison to inspect a longer interval. The initial pep-2025-r1 snapshot remains reproducible when future releases are added.