Counties and their populations
Every US county with its land area and population (the American Community Survey’s 5-year estimate through the Census Data API, or the Census Bureau’s population estimates; pop_source says which), used to place players’ hometowns in counties and compare how many players each sends.
3,222 rows. Source: US Census Bureau (public domain). On the site: Roster pages. This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
3,222 rows, page 1 of 65. Click a column to sort.
| fips | state | name | land sq mi | population | pop source | pop year |
|---|---|---|---|---|---|---|
| 06037 | CA | Los Angeles County | 4060.292 | 9808667 | acs5 | 2024 |
| 17031 | IL | Cook County | 944.93 | 5182090 | acs5 | 2024 |
| 48201 | TX | Harris County | 1707.345 | 4838303 | acs5 | 2024 |
| 04013 | AZ | Maricopa County | 9202.04 | 4559748 | acs5 | 2024 |
| 06073 | CA | San Diego County | 4210.861 | 3288774 | acs5 | 2024 |
| 06059 | CA | Orange County | 793.248 | 3165820 | acs5 | 2024 |
| 12086 | FL | Miami-Dade County | 1899.994 | 2738356 | acs5 | 2024 |
| 36047 | NY | Kings County | 69.377 | 2631580 | acs5 | 2024 |
| 48113 | TX | Dallas County | 873.138 | 2621179 | acs5 | 2024 |
| 06065 | CA | Riverside County | 7209.019 | 2478600 | acs5 | 2024 |
| 32003 | NV | Clark County | 7891.664 | 2329548 | acs5 | 2024 |
| 36081 | NY | Queens County | 108.724 | 2323052 | acs5 | 2024 |
| 53033 | WA | King County | 2115.75 | 2287171 | acs5 | 2024 |
| 06071 | CA | San Bernardino County | 20068.437 | 2197104 | acs5 | 2024 |
| 48439 | TX | Tarrant County | 865.4 | 2167390 | acs5 | 2024 |
| 48029 | TX | Bexar County | 1240.456 | 2067341 | acs5 | 2024 |
| 12011 | FL | Broward County | 1202.982 | 1977129 | acs5 | 2024 |
| 06085 | CA | Santa Clara County | 1291.084 | 1902047 | acs5 | 2024 |
| 26163 | MI | Wayne County | 611.843 | 1772259 | acs5 | 2024 |
| 06001 | CA | Alameda County | 737.47 | 1649473 | acs5 | 2024 |
| 25017 | MA | Middlesex County | 817.905 | 1638365 | acs5 | 2024 |
| 36061 | NY | New York County | 22.658 | 1629477 | acs5 | 2024 |
| 06067 | CA | Sacramento County | 965.38 | 1594006 | acs5 | 2024 |
| 42101 | PA | Philadelphia County | 134.325 | 1579706 | acs5 | 2024 |
| 12099 | FL | Palm Beach County | 1964.32 | 1533806 | acs5 | 2024 |
| 36103 | NY | Suffolk County | 910.896 | 1530146 | acs5 | 2024 |
| 12057 | FL | Hillsborough County | 1022.154 | 1522748 | acs5 | 2024 |
| 12095 | FL | Orange County | 903.044 | 1471937 | acs5 | 2024 |
| 36005 | NY | Bronx County | 42.202 | 1404779 | acs5 | 2024 |
| 36059 | NY | Nassau County | 284.544 | 1389591 | acs5 | 2024 |
| 39049 | OH | Franklin County | 532.432 | 1333048 | acs5 | 2024 |
| 48453 | TX | Travis County | 994.35 | 1330015 | acs5 | 2024 |
| 26125 | MI | Oakland County | 867.426 | 1279825 | acs5 | 2024 |
| 27053 | MN | Hennepin County | 554.02 | 1269496 | acs5 | 2024 |
| 39035 | OH | Cuyahoga County | 457.232 | 1245873 | acs5 | 2024 |
| 42003 | PA | Allegheny County | 729.952 | 1238177 | acs5 | 2024 |
| 49035 | UT | Salt Lake County | 752.714 | 1196523 | acs5 | 2024 |
| 37183 | NC | Wake County | 834.793 | 1178653 | acs5 | 2024 |
| 06013 | CA | Contra Costa County | 716.897 | 1165012 | acs5 | 2024 |
| 48085 | TX | Collin County | 841.552 | 1163337 | acs5 | 2024 |
| 37119 | NC | Mecklenburg County | 523.632 | 1154681 | acs5 | 2024 |
| 51059 | VA | Fairfax County | 391.021 | 1147837 | acs5 | 2024 |
| 13121 | GA | Fulton County | 526.86 | 1076561 | acs5 | 2024 |
| 24031 | MD | Montgomery County | 493.132 | 1065949 | acs5 | 2024 |
| 04019 | AZ | Pima County | 9188.692 | 1060490 | acs5 | 2024 |
| 12031 | FL | Duval County | 762.699 | 1023153 | acs5 | 2024 |
| 06019 | CA | Fresno County | 5958.582 | 1016725 | acs5 | 2024 |
| 15003 | HI | Honolulu County | 600.791 | 1001146 | acs5 | 2024 |
| 36119 | NY | Westchester County | 430.817 | 999677 | acs5 | 2024 |
| 29189 | MO | St. Louis County | 508.526 | 995569 | acs5 | 2024 |
The CSV and JSON hold the rows these filters find, up to 50,000, with the ids that link them to other datasets; the JSON also describes each column.
Columns (7, what each one holds)
| Column | Type | What it holds | |
|---|---|---|---|
fips | text | No description yet. | |
state | text | “TX” | |
name | text | “Harris County” | |
land_sq_mi | number | No description yet. | |
population | whole number | No description yet. | |
pop_source | text | No description yet. | |
pop_year | whole number | No description yet. |
How to cite
"Counties and their populations." CollegeFootballDigest, from US Census Bureau (public domain). https://collegefootballdigest.com/data/counties. Retrieved October 19, 2026.
Name the original source, US Census Bureau, and its license (public domain).