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As valued family members, pets provide unconditional love and companionship we cherish every day. With millions of pets to care for, many Americans turn to local businesses that provide grooming, boarding, and other pet care services as well as pet food and other supplies.
Across the United States in September 2020, there were 21,251 businesses in the pet care, except veterinary, services industry. The 124,271 workers in this industry earned an average weekly wage of $478. Ozaukee County, Wisconsin, had an employment concentration in this industry that was 5.57 times the national rate. In Ozaukee County, the 202 workers in pet care, except veterinary, services earned an average of $673 a week, almost $200 more than the national average for the industry.
| County | Employment location quotient | Business establishments | Employment | Average weekly wage |
|---|---|---|---|---|
| Ozaukee, WI | 5.57 | 16 | 202 | $673 |
| Bandera, TX | 5.42 | 4 | 16 | 472 |
| Pender, NC | 5.13 | 6 | 58 | 421 |
| Fauquier, VA | 4.87 | 14 | 93 | 476 |
| Randall, TX | 4.75 | 17 | 140 | 397 |
| Jessamine, KY | 4.32 | 7 | 64 | 372 |
| Indian River, FL | 4.19 | 22 | 187 | 672 |
| Susquehanna, PA | 4.17 | 4 | 32 | 410 |
| Siskiyou, CA | 4.09 | 7 | 51 | 631 |
| Bonner, ID | 3.93 | 6 | 52 | 354 |
| Summit, UT | 3.88 | 16 | 83 | 474 |
| Aransas, TX | 3.79 | 5 | 18 | 420 |
| Santa Fe, NM | 3.72 | 20 | 185 | 610 |
| Bristol, RI | 3.70 | 9 | 43 | 420 |
| Marin, CA | 3.69 | 39 | 337 | 1,240 |
| Lincoln, SD | 3.67 | 9 | 80 | 482 |
| Onslow, NC | 3.61 | 18 | 157 | 457 |
| Alexandria City, VA | 3.56 | 22 | 264 | 557 |
| Culpeper, VA | 3.53 | 5 | 49 | 487 |
| Isle of Wight, VA | 3.51 | 4 | 33 | 650 |
| Douglas, CO | 3.47 | 48 | 401 | 525 |
| Dickinson, KS | 3.42 | 4 | 18 | 439 |
| Allegan, MI | 3.33 | 12 | 115 | 539 |
| Huntington, IN | 3.31 | 5 | 40 | 300 |
| Manatee, FL | 3.30 | 29 | 360 | 662 |
| St. Johns, FL | 3.28 | 23 | 230 | 546 |
| Clermont, OH | 3.27 | 15 | 167 | 351 |
| Boone, IN | 3.24 | 6 | 102 | 330 |
| Rockwall, TX | 3.23 | 12 | 93 | 606 |
| Kenton, KY | 3.22 | 10 | 187 | 420 |
| Warrick, IN | 3.16 | 7 | 47 | 387 |
| Delaware, OK | 3.13 | 6 | 25 | 290 |
| Ford, IL | 2.99 | 3 | 12 | 326 |
| Woodford, IL | 2.97 | 4 | 28 | 315 |
| Buncombe, NC | 2.92 | 41 | 321 | 531 |
| Union, NC | 2.92 | 22 | 164 | 396 |
| Hays, TX | 2.90 | 20 | 186 | 430 |
| Adair, KY | 2.87 | 3 | 11 | 214 |
| Spencer, KY | 2.87 | 3 | 5 | 252 |
| Routt, CO | 2.86 | 8 | 36 | 518 |
| Carroll, MD | 2.81 | 25 | 135 | 448 |
| Nassau, FL | 2.77 | 9 | 57 | 447 |
| Orangeburg, SC | 2.77 | 5 | 67 | 273 |
| Rice, MN | 2.77 | 7 | 60 | 401 |
| Powhatan, VA | 2.76 | 3 | 18 | 437 |
| Fayette, GA | 2.73 | 14 | 105 | 351 |
| Oxford, ME | 2.72 | 9 | 38 | 333 |
| Williamson, TX | 2.72 | 46 | 437 | 532 |
| Montgomery, IN | 2.69 | 5 | 35 | 353 |
| Geauga, OH | 2.68 | 13 | 82 | 451 |
| Wilson, TN | 2.68 | 14 | 125 | 529 |
| Mecklenburg, VA | 2.67 | 4 | 26 | 274 |
| Bryan, GA | 2.66 | 4 | 21 | 450 |
| Essex, MA | 2.66 | 97 | 712 | 558 |
| Guadalupe, TX | 2.66 | 15 | 100 | 426 |
| Fannin, TX | 2.64 | 5 | 19 | 199 |
| Jefferson, TN | 2.62 | 5 | 31 | 387 |
| McHenry, IL | 2.61 | 46 | 214 | 673 |
| Charlotte, FL | 2.57 | 16 | 108 | 471 |
| Rockingham, NH | 2.56 | 56 | 333 | 460 |
| Bastrop, TX | 2.54 | 9 | 42 | 577 |
| Plymouth, MA | 2.52 | 63 | 407 | 571 |
| Washington, MN | 2.51 | 21 | 190 | 448 |
| Frederick, VA | 2.48 | 10 | 75 | 903 |
| Bremer, IA | 2.46 | 3 | 21 | 432 |
| Snohomish, WA | 2.46 | 92 | 598 | 519 |
| Loudoun, VA | 2.44 | 45 | 360 | 542 |
| Strafford, NH | 2.44 | 12 | 101 | 415 |
| Nevada, CA | 2.43 | 10 | 64 | 521 |
| Orange, NC | 2.42 | 16 | 149 | 433 |
| Lapeer, MI | 2.41 | 8 | 44 | 327 |
| Flagler, FL | 2.37 | 8 | 51 | 495 |
| Forsyth, GA | 2.37 | 22 | 158 | 449 |
| Fort Bend, TX | 2.35 | 35 | 396 | 469 |
| Kendall, IL | 2.34 | 13 | 58 | 274 |
| Broomfield, CO | 2.32 | 11 | 80 | 503 |
| Clay, FL | 2.32 | 17 | 108 | 460 |
| La Crosse, WI | 2.32 | 10 | 137 | 313 |
| Jackson, IA | 2.31 | 3 | 12 | 243 |
| Scott, MN | 2.31 | 18 | 109 | 408 |
| Lincoln, NC | 2.30 | 5 | 49 | 286 |
| Laramie, WY | 2.29 | 13 | 94 | 521 |
| St. Charles, MO | 2.28 | 40 | 308 | 503 |
| Christian, MO | 2.27 | 9 | 36 | 397 |
| Lee, AL | 2.27 | 10 | 119 | 607 |
| New Hanover, NC | 2.25 | 34 | 229 | 404 |
| Dorchester, SC | 2.24 | 11 | 69 | 501 |
| Livingston, MI | 2.24 | 15 | 119 | 401 |
| Walton, GA | 2.24 | 8 | 46 | 438 |
| Licking, OH | 2.23 | 19 | 139 | 404 |
| Waldo, ME | 2.23 | 8 | 22 | 335 |
| Wayne, NY | 2.21 | 9 | 57 | 535 |
| Weld, CO | 2.21 | 27 | 209 | 514 |
| Burnet, TX | 2.18 | 7 | 29 | 485 |
| Marquette, MI | 2.18 | 5 | 50 | 176 |
| Morgan, IN | 2.18 | 5 | 30 | 268 |
| Tazewell, IL | 2.18 | 9 | 87 | 302 |
| Virginia Beach City, VA | 2.18 | 38 | 330 | 419 |
| Yavapai, AZ | 2.16 | 22 | 123 | 555 |
| Leavenworth, KS | 2.15 | 6 | 39 | 294 |
| Kent, RI | 2.14 | 21 | 134 | 365 |
| Wasatch, UT | 2.14 | 3 | 20 | 483 |
| Grand Forks, ND | 2.13 | 6 | 72 | 307 |
| Clark, OH | 2.11 | 11 | 84 | 296 |
| Denver, CO | 2.11 | 82 | 913 | 616 |
| Porter, IN | 2.10 | 11 | 109 | 387 |
| Columbia, GA | 2.08 | 16 | 69 | 435 |
| Medina, OH | 2.08 | 18 | 107 | 421 |
| Washington, WI | 2.07 | 11 | 101 | 407 |
| Jefferson, CO | 2.06 | 69 | 428 | 501 |
| Paulding, GA | 2.06 | 8 | 46 | 500 |
| Sonoma, CA | 2.06 | 65 | 354 | 555 |
| Johnson, KS | 2.05 | 59 | 617 | 429 |
| Hillsborough, NH | 2.03 | 49 | 353 | 443 |
| Whatcom, WA | 2.03 | 23 | 154 | 409 |
| Hampshire, MA | 2.01 | 22 | 105 | 450 |
| Montgomery, TX | 1.99 | 52 | 329 | 493 |
| Berrien, MI | 1.98 | 10 | 102 | 445 |
| El Paso, CO | 1.98 | 75 | 492 | 476 |
| Warren, NJ | 1.98 | 17 | 53 | 476 |
| Brunswick, NC | 1.97 | 14 | 59 | 435 |
| Sumner, TN | 1.97 | 12 | 98 | 419 |
| Juniata, PA | 1.96 | 4 | 12 | 344 |
| Larimer, CO | 1.96 | 40 | 279 | 435 |
| Harford, MD | 1.95 | 17 | 156 | 500 |
| Mercer, OH | 1.95 | 4 | 34 | 311 |
| Cherokee, GA | 1.94 | 20 | 113 | 449 |
| Comal, TX | 1.94 | 18 | 101 | 437 |
| Henderson, NC | 1.94 | 19 | 68 | 437 |
| Shasta, CA | 1.94 | 9 | 113 | 532 |
| Tippecanoe, IN | 1.94 | 16 | 144 | 301 |
| Williamson, IL | 1.94 | 5 | 46 | 294 |
| Polk, IA | 1.93 | 44 | 496 | 462 |
| Johnson, IN | 1.92 | 16 | 98 | 317 |
| Knox, ME | 1.92 | 8 | 28 | 555 |
| Roanoke, VA | 1.91 | 12 | 64 | 384 |
| Sussex, NJ | 1.91 | 17 | 61 | 459 |
| Walton, FL | 1.91 | 12 | 47 | 448 |
| Monmouth, NJ | 1.89 | 59 | 416 | 527 |
| Shelby, AL | 1.89 | 20 | 136 | 388 |
| Dakota, MN | 1.88 | 36 | 299 | 447 |
| Deschutes, OR | 1.88 | 29 | 140 | 557 |
| Chester, PA | 1.87 | 58 | 396 | 438 |
| Brown, WI | 1.86 | 21 | 253 | 356 |
| Barnstable, MA | 1.85 | 36 | 153 | 574 |
| Douglas, KS | 1.85 | 12 | 76 | 307 |
| Langlade, WI | 1.84 | 3 | 12 | 207 |
| Fayette, TX | 1.82 | 4 | 14 | 491 |
| Franklin, MO | 1.82 | 9 | 61 | 345 |
| Kane, IL | 1.82 | 41 | 318 | 507 |
| Palm Beach, FL | 1.82 | 123 | 928 | 486 |
| Spotsylvania, VA | 1.82 | 6 | 56 | 437 |
| Dane, WI | 1.81 | 62 | 531 | 376 |
| Litchfield, CT | 1.81 | 27 | 94 | 523 |
| Orleans Parish, LA | 1.81 | 18 | 259 | 432 |
| Ionia, MI | 1.79 | 4 | 27 | 480 |
| Kershaw, SC | 1.79 | 5 | 27 | 458 |
| Boulder, CO | 1.78 | 41 | 284 | 516 |
| Lake, FL | 1.78 | 35 | 159 | 451 |
| Lawrence, IN | 1.78 | 4 | 21 | 263 |
| Stafford, VA | 1.78 | 13 | 70 | 460 |
| Galveston, TX | 1.77 | 20 | 166 | 515 |
| Hamilton, IN | 1.77 | 34 | 224 | 501 |
| Madison, IL | 1.77 | 22 | 159 | 332 |
| Penobscot, ME | 1.77 | 17 | 107 | 412 |
| Polk, NC | 1.77 | 3 | 8 | 440 |
| San Luis Obispo, CA | 1.77 | 30 | 172 | 520 |
| Collin, TX | 1.76 | 93 | 667 | 483 |
| Beaufort, SC | 1.75 | 21 | 101 | 433 |
| Iredell, NC | 1.75 | 24 | 117 | 427 |
| Muskegon, MI | 1.74 | 12 | 90 | 405 |
| Parker, TX | 1.74 | 14 | 52 | 525 |
| Hernando, FL | 1.73 | 20 | 67 | 328 |
| Camden, NJ | 1.72 | 26 | 290 | 411 |
| St. Clair, IL | 1.72 | 13 | 132 | 439 |
| Albemarle, VA | 1.71 | 9 | 85 | 457 |
| Macoupin, IL | 1.71 | 3 | 15 | 247 |
| Arapahoe, CO | 1.70 | 61 | 487 | 700 |
| Clinton, MI | 1.70 | 4 | 25 | 454 |
| Denton, TX | 1.70 | 61 | 393 | 507 |
| Johnson, IA | 1.70 | 12 | 119 | 270 |
| Westmoreland, PA | 1.70 | 34 | 189 | 334 |
| Franklin, TN | 1.69 | 3 | 17 | 325 |
| Morris, NJ | 1.69 | 50 | 411 | 501 |
| Delaware, OH | 1.68 | 25 | 129 | 610 |
| Aiken, SC | 1.67 | 17 | 87 | 468 |
| Clackamas, OR | 1.65 | 44 | 234 | 730 |
| Winnebago, WI | 1.65 | 20 | 133 | 392 |
| Baldwin, AL | 1.64 | 22 | 107 | 510 |
| Cape Girardeau, MO | 1.64 | 7 | 59 | 308 |
| Columbia, NY | 1.64 | 5 | 30 | 380 |
| Dallas, IA | 1.64 | 10 | 66 | 430 |
| Hanover, VA | 1.64 | 12 | 74 | 357 |
| Morrow, OH | 1.64 | 4 | 8 | 282 |
| Cleveland, OK | 1.63 | 22 | 121 | 370 |
| Oneida, WI | 1.63 | 6 | 23 | 282 |
| Summit, CO | 1.63 | 6 | 27 | 362 |
| Chesterfield, VA | 1.62 | 25 | 190 | 484 |
| Henrico, VA | 1.62 | 29 | 260 | 498 |
| Hunterdon, NJ | 1.62 | 18 | 64 | 406 |
| Kanawha, WV | 1.60 | 12 | 127 | 430 |
| Douglas, WI | 1.59 | 4 | 22 | 296 |
| Mesa, CO | 1.59 | 21 | 87 | 433 |
| Coconino, AZ | 1.58 | 10 | 83 | 558 |
| Ottawa, OH | 1.58 | 5 | 20 | 249 |
| Williamson, TN | 1.58 | 16 | 192 | 601 |
| Butte, CA | 1.57 | 13 | 105 | 472 |
| Hamilton, TN | 1.56 | 28 | 277 | 427 |
| Kendall, TX | 1.56 | 6 | 23 | 549 |
| Lake, IL | 1.56 | 73 | 448 | 478 |
| Tuscarawas, OH | 1.56 | 4 | 49 | 290 |
| Woodbury, IA | 1.56 | 9 | 69 | 380 |
| McLean, IL | 1.55 | 18 | 107 | 418 |
| Lee, IA | 1.54 | 4 | 20 | 259 |
| Monroe, PA | 1.54 | 12 | 73 | 461 |
| Chittenden, VT | 1.53 | 25 | 130 | 491 |
| Midland, MI | 1.53 | 4 | 47 | 406 |
| Walker, GA | 1.53 | 6 | 18 | 493 |
| Warren, OH | 1.53 | 20 | 127 | 386 |
| Becker, MN | 1.52 | 3 | 19 | 323 |
| Park, WY | 1.51 | 4 | 19 | 403 |
| Arlington, VA | 1.50 | 18 | 231 | 350 |
| Mecklenburg, NC | 1.50 | 123 | 919 | 489 |
| Gallatin, MT | 1.49 | 19 | 82 | 524 |
| Tolland, CT | 1.49 | 9 | 52 | 394 |
| Washington, RI | 1.49 | 23 | 70 | 484 |
| Caldwell, NC | 1.48 | 4 | 33 | 432 |
| Clatsop, OR | 1.48 | 6 | 24 | 353 |
| Flathead, MT | 1.48 | 13 | 59 | 411 |
| Howard, MD | 1.48 | 22 | 212 | 483 |
| York, VA | 1.48 | 5 | 26 | 346 |
| Charleston, SC | 1.47 | 46 | 315 | 502 |
| Morrison, MN | 1.47 | 3 | 14 | 348 |
| Coffee, AL | 1.46 | 4 | 21 | 271 |
| Portage, OH | 1.46 | 12 | 68 | 338 |
| Teton, WY | 1.46 | 4 | 27 | 619 |
| Yankton, SD | 1.46 | 4 | 16 | 313 |
| York, SC | 1.46 | 17 | 127 | 400 |
| Waukesha, WI | 1.45 | 49 | 304 | 374 |
| Wright, MN | 1.45 | 13 | 57 | 314 |
| Bucks, PA | 1.44 | 48 | 319 | 420 |
| Cumberland, ME | 1.44 | 45 | 227 | 497 |
| Greenville, SC | 1.44 | 51 | 342 | 453 |
| Nye, NV | 1.44 | 5 | 16 | 361 |
| St. Louis, MO | 1.44 | 72 | 730 | 463 |
| Yellowstone, MT | 1.44 | 17 | 105 | 421 |
| Ada, ID | 1.43 | 52 | 322 | 377 |
| Cabarrus, NC | 1.43 | 13 | 94 | 404 |
| Cass, ND | 1.43 | 23 | 150 | 360 |
| Kitsap, WA | 1.43 | 24 | 112 | 480 |
| Stevens, WA | 1.43 | 4 | 14 | 346 |
| Dona Ana, NM | 1.42 | 17 | 89 | 366 |
| Hardin, KY | 1.42 | 8 | 57 | 388 |
| Norfolk, MA | 1.42 | 81 | 402 | 517 |
| Pierce, WA | 1.42 | 74 | 381 | 467 |
| Worcester, MA | 1.42 | 76 | 412 | 504 |
| Brazoria, TX | 1.41 | 22 | 138 | 432 |
| Anoka, MN | 1.40 | 22 | 152 | 393 |
| Lowndes, MS | 1.40 | 5 | 30 | 414 |
| Wake, NC | 1.40 | 107 | 692 | 482 |
| Chesapeake City, VA | 1.39 | 14 | 122 | 523 |
| Hamilton, OH | 1.39 | 58 | 607 | 443 |
| Otter Tail, MN | 1.39 | 4 | 28 | 369 |
| Bristol, MA | 1.38 | 53 | 261 | 483 |
| Burke, GA | 1.38 | 3 | 17 | 397 |
| Kootenai, ID | 1.38 | 17 | 81 | 671 |
| Linn, IA | 1.38 | 20 | 150 | 412 |
| Shawano, WI | 1.38 | 3 | 15 | 214 |
| Burleigh, ND | 1.37 | 16 | 67 | 400 |
| Logan, OH | 1.37 | 7 | 22 | 327 |
| Rockingham, VA | 1.37 | 5 | 40 | 302 |
| Allegheny, PA | 1.36 | 116 | 785 | 402 |
| Anne Arundel, MD | 1.36 | 40 | 312 | 461 |
| Lexington, SC | 1.36 | 20 | 144 | 435 |
| Madison, IN | 1.36 | 11 | 48 | 350 |
| New London, CT | 1.36 | 25 | 133 | 492 |
| Jackson, OR | 1.35 | 12 | 106 | 570 |
| Lane, OR | 1.35 | 33 | 176 | 493 |
| Middlesex, CT | 1.35 | 17 | 79 | 493 |
| Pottawatomie, OK | 1.35 | 4 | 26 | 413 |
| Polk, MO | 1.34 | 4 | 10 | 512 |
| Washington, OR | 1.34 | 49 | 343 | 444 |
| Glynn, GA | 1.33 | 8 | 43 | 361 |
| Merrimack, NH | 1.33 | 16 | 88 | 343 |
| Vigo, IN | 1.33 | 5 | 54 | 316 |
| Washington, TN | 1.33 | 10 | 71 | 382 |
| Wood, OH | 1.33 | 10 | 78 | 360 |
| Brevard, FL | 1.32 | 45 | 255 | 476 |
| Dearborn, IN | 1.32 | 5 | 16 | 275 |
| Washington, AR | 1.32 | 22 | 129 | 513 |
| Winona, MN | 1.32 | 4 | 27 | 259 |
| Benton, AR | 1.31 | 19 | 145 | 503 |
| Franklin, PA | 1.31 | 11 | 67 | 274 |
| Horry, SC | 1.31 | 37 | 146 | 366 |
| Osceola, FL | 1.31 | 16 | 105 | 500 |
| Washoe, NV | 1.31 | 39 | 250 | 474 |
| Cowlitz, WA | 1.30 | 6 | 45 | 423 |
| Saratoga, NY | 1.30 | 25 | 97 | 429 |
| Butler, OH | 1.29 | 25 | 173 | 389 |
| Clark, WA | 1.29 | 37 | 180 | 533 |
| Duval, FL | 1.29 | 57 | 589 | 613 |
| Adams, PA | 1.28 | 9 | 38 | 351 |
| Outagamie, WI | 1.28 | 15 | 119 | 286 |
| Prince William, VA | 1.28 | 28 | 144 | 463 |
| Dutchess, NY | 1.27 | 24 | 118 | 589 |
| Erie, PA | 1.27 | 21 | 130 | 430 |
| Travis, TX | 1.27 | 116 | 852 | 583 |
| Johnson, TX | 1.26 | 11 | 55 | 463 |
| Scotts Bluff, NE | 1.26 | 3 | 18 | 352 |
| Ulster, NY | 1.26 | 18 | 63 | 535 |
| Delta, MI | 1.25 | 4 | 15 | 418 |
| Lafayette Parish, LA | 1.25 | 20 | 136 | 382 |
| Montgomery, MD | 1.25 | 62 | 491 | 552 |
| Pasco, FL | 1.25 | 35 | 135 | 515 |
| Polk, OR | 1.25 | 8 | 23 | 427 |
| Riverside, CA | 1.25 | 141 | 795 | 590 |
| Russell, AL | 1.25 | 3 | 15 | 491 |
| Seminole, FL | 1.25 | 43 | 214 | 416 |
| Fairfield, CT | 1.24 | 90 | 427 | 561 |
| Thurston, WA | 1.24 | 22 | 126 | 484 |
| Cochise, AZ | 1.23 | 7 | 39 | 364 |
| Indiana, PA | 1.23 | 6 | 30 | 247 |
| McLennan, TX | 1.23 | 18 | 124 | 503 |
| Ocean, NJ | 1.23 | 40 | 180 | 517 |
| Westchester, NY | 1.23 | 78 | 427 | 833 |
| El Dorado, CA | 1.22 | 16 | 59 | 426 |
| Canadian, OK | 1.21 | 8 | 35 | 616 |
| Collier, FL | 1.21 | 33 | 151 | 451 |
| Daviess, KY | 1.20 | 7 | 47 | 407 |
| Delaware, IN | 1.20 | 4 | 47 | 250 |
| San Diego, CA | 1.20 | 249 | 1,454 | 574 |
| Bossier Parish, LA | 1.19 | 7 | 43 | 392 |
| Harrisonburg City, VA | 1.19 | 5 | 31 | 364 |
| Pitt, NC | 1.19 | 13 | 80 | 340 |
| Summit, OH | 1.19 | 42 | 269 | 394 |
| Anchorage municipality, AK | 1.18 | 25 | 144 | 420 |
| Ashland, OH | 1.18 | 4 | 20 | 383 |
| Bonneville, ID | 1.18 | 9 | 58 | 375 |
| Butler, PA | 1.18 | 10 | 87 | 381 |
| Missoula, MT | 1.18 | 14 | 63 | 400 |
| Tulsa, OK | 1.18 | 46 | 358 | 460 |
| Volusia, FL | 1.18 | 49 | 176 | 513 |
| Cortland, NY | 1.17 | 4 | 18 | 290 |
| Eau Claire, WI | 1.17 | 9 | 58 | 349 |
| Jackson, MO | 1.17 | 42 | 369 | 416 |
| Marion, FL | 1.17 | 28 | 109 | 412 |
| Rutland, VT | 1.17 | 10 | 25 | 501 |
| Santa Rosa, FL | 1.17 | 12 | 41 | 495 |
| Hartford, CT | 1.16 | 87 | 497 | 522 |
| Jackson, IN | 1.16 | 4 | 23 | 419 |
| Vanderburgh, IN | 1.16 | 14 | 106 | 313 |
| Yamhill, OR | 1.16 | 8 | 37 | 457 |
| Atlantic, NJ | 1.15 | 21 | 117 | 465 |
| DeKalb, GA | 1.15 | 42 | 291 | 440 |
| Fairfax, VA | 1.15 | 70 | 613 | 446 |
| Olmsted, MN | 1.15 | 13 | 100 | 399 |
| Orleans, NY | 1.15 | 4 | 12 | 440 |
| Rutherford, TN | 1.15 | 15 | 135 | 459 |
| Windsor, VT | 1.15 | 5 | 22 | 425 |
| DuPage, IL | 1.14 | 96 | 579 | 395 |
| Franklin, OH | 1.14 | 84 | 742 | 424 |
| Fulton, GA | 1.14 | 81 | 843 | 531 |
| Highlands, FL | 1.14 | 4 | 26 | 386 |
| Natrona, WY | 1.14 | 9 | 37 | 389 |
| Oakland, MI | 1.14 | 87 | 693 | 466 |
| Pima, AZ | 1.14 | 60 | 364 | 476 |
| Watauga, NC | 1.13 | 9 | 23 | 433 |
| Gregg, TX | 1.12 | 12 | 69 | 390 |
| Otsego, NY | 1.12 | 4 | 21 | 549 |
| Columbia, FL | 1.11 | 8 | 24 | 364 |
| Erie, NY | 1.11 | 81 | 427 | 465 |
| Limestone, AL | 1.11 | 3 | 24 | 309 |
| Mahoning, OH | 1.11 | 14 | 91 | 364 |
| Eagle, CO | 1.10 | 6 | 29 | 483 |
| Lawrence, SD | 1.10 | 3 | 12 | 255 |
| Platte, MO | 1.10 | 11 | 43 | 450 |
| Barrow, GA | 1.09 | 6 | 20 | 580 |
| Boone, MO | 1.09 | 14 | 89 | 394 |
| Burlington, NJ | 1.09 | 36 | 186 | 425 |
| Cullman, AL | 1.09 | 8 | 28 | 528 |
| Fayette, PA | 1.09 | 7 | 36 | 358 |
| Forsyth, NC | 1.09 | 24 | 177 | 398 |
| Gloucester, NJ | 1.09 | 23 | 107 | 399 |
| San Mateo, CA | 1.09 | 58 | 370 | 703 |
| Sedgwick, KS | 1.09 | 38 | 234 | 389 |
| Lucas, OH | 1.08 | 29 | 188 | 360 |
| Marion, IN | 1.08 | 54 | 551 | 417 |
| Williams, ND | 1.08 | 3 | 22 | 351 |
| Monroe, NY | 1.07 | 40 | 340 | 509 |
| Allen, IN | 1.06 | 31 | 175 | 418 |
| Boone, KY | 1.06 | 13 | 89 | 429 |
| Dubois, IN | 1.06 | 9 | 26 | 298 |
| Eaton, MI | 1.06 | 6 | 38 | 417 |
| Rockland, NY | 1.06 | 22 | 113 | 406 |
| Washington, PA | 1.06 | 20 | 76 | 474 |
| Yolo, CA | 1.06 | 14 | 99 | 541 |
| Bexar, TX | 1.05 | 107 | 777 | 510 |
| Clark, NV | 1.05 | 127 | 822 | 516 |
| Durham, NC | 1.05 | 21 | 198 | 471 |
| LaGrange, IN | 1.05 | 3 | 13 | 359 |
| Midland, TX | 1.05 | 14 | 82 | 567 |
| Racine, WI | 1.05 | 8 | 67 | 279 |
| Brazos, TX | 1.04 | 7 | 97 | 474 |
| King, WA | 1.04 | 200 | 1,249 | 555 |
| Knox, TN | 1.04 | 42 | 216 | 396 |
| Lubbock, TX | 1.04 | 17 | 127 | 590 |
| New Castle, DE | 1.04 | 30 | 257 | 435 |
| Placer, CA | 1.04 | 30 | 150 | 589 |
| Polk, FL | 1.04 | 36 | 214 | 581 |
| Schuylkill, PA | 1.04 | 7 | 44 | 347 |
| St. Louis City, MO | 1.04 | 20 | 195 | 497 |
| Klamath, OR | 1.03 | 4 | 21 | 519 |
| Maricopa, AZ | 1.03 | 276 | 1,841 | 570 |
| Montgomery, PA | 1.03 | 75 | 436 | 435 |
| Pottawattamie, IA | 1.03 | 7 | 35 | 454 |
| Harris, TX | 1.02 | 236 | 1,985 | 512 |
| Macon, IL | 1.02 | 5 | 41 | 441 |
| Oklahoma, OK | 1.02 | 61 | 402 | 455 |
| Pennington, SD | 1.02 | 12 | 52 | 407 |
| Delaware, PA | 1.01 | 28 | 187 | 403 |
| Garfield, OK | 1.01 | 4 | 21 | 703 |
| Lancaster, NE | 1.01 | 20 | 150 | 452 |
| Lancaster, PA | 1.01 | 38 | 210 | 390 |
| Lorain, OH | 1.01 | 19 | 84 | 352 |
| Middlesex, MA | 1.01 | 153 | 781 | 550 |
| Suffolk, NY | 1.01 | 121 | 563 | 668 |
| Twin Falls, ID | 1.01 | 6 | 36 | 350 |
| Bell, TX | 1.00 | 21 | 105 | 344 |
| Berkshire, MA | 1.00 | 12 | 49 | 523 |
| Charlottesville City, VA | 1.00 | 5 | 32 | 483 |
| Frederick, MD | 1.00 | 13 | 87 | 361 |
| Genesee, MI | 1.00 | 15 | 111 | 391 |
| Spokane, WA | 1.00 | 42 | 196 | 484 |
| U.S. TOTAL | 1.00 | 21,251 | 124,271 | 478 |
| Columbiana, OH | 0.99 | 5 | 25 | 503 |
| Hennepin, MN | 0.99 | 93 | 758 | 458 |
| Lyon, NV | 0.99 | 3 | 11 | 218 |
| Macomb, MI | 0.99 | 37 | 272 | 476 |
| Pinellas, FL | 0.99 | 88 | 369 | 462 |
| York, ME | 0.99 | 19 | 64 | 414 |
| Berkeley, SC | 0.98 | 9 | 48 | 861 |
| Berks, PA | 0.98 | 24 | 141 | 545 |
| Campbell, VA | 0.98 | 4 | 15 | 326 |
| Ottawa, MI | 0.98 | 16 | 109 | 402 |
| Santa Barbara, CA | 0.98 | 38 | 180 | 513 |
| Alachua, FL | 0.97 | 18 | 111 | 349 |
| Broward, FL | 0.97 | 130 | 654 | 521 |
| Cobb, GA | 0.97 | 57 | 306 | 451 |
| Davidson, NC | 0.97 | 14 | 37 | 411 |
| Contra Costa, CA | 0.96 | 74 | 288 | 567 |
| Marion, IA | 0.96 | 4 | 15 | 155 |
| Nueces, TX | 0.96 | 12 | 129 | 474 |
| Saline, KS | 0.96 | 4 | 24 | 338 |
| Steele, MN | 0.96 | 3 | 17 | 227 |
| Lehigh, PA | 0.95 | 18 | 156 | 377 |
| Santa Cruz, CA | 0.95 | 18 | 85 | 682 |
| St. Clair, MI | 0.95 | 7 | 36 | 471 |
| Benton, OR | 0.94 | 8 | 30 | 366 |
| Catawba, NC | 0.94 | 15 | 71 | 402 |
| Garland, AR | 0.94 | 9 | 30 | 444 |
| Hendricks, IN | 0.94 | 10 | 63 | 675 |
| Lee, FL | 0.94 | 59 | 213 | 462 |
| Blount, TN | 0.93 | 9 | 41 | 353 |
| Dauphin, PA | 0.93 | 22 | 146 | 428 |
| Orange, CA | 0.93 | 223 | 1,221 | 584 |
| Milwaukee, WI | 0.92 | 44 | 372 | 352 |
| Onondaga, NY | 0.92 | 36 | 188 | 482 |
| Phelps, MO | 0.92 | 5 | 15 | 352 |
| Union, NJ | 0.92 | 36 | 174 | 465 |
| York, PA | 0.92 | 31 | 140 | 377 |
| Emmet, MI | 0.91 | 3 | 15 | 601 |
| Greene, AR | 0.91 | 3 | 12 | 176 |
| Orange, FL | 0.91 | 78 | 599 | 483 |
| Pueblo, CO | 0.91 | 8 | 50 | 523 |
| Rock Island, IL | 0.91 | 13 | 56 | 386 |
| Shawnee, KS | 0.91 | 10 | 75 | 353 |
| Albany, NY | 0.90 | 25 | 177 | 480 |
| Cook, IL | 0.90 | 324 | 1,918 | 500 |
| Gwinnett, GA | 0.90 | 52 | 276 | 393 |
| James City, VA | 0.90 | 5 | 21 | 312 |
| Mercer, PA | 0.90 | 9 | 34 | 701 |
| Monroe, IN | 0.90 | 10 | 50 | 527 |
| Oconee, SC | 0.90 | 6 | 19 | 377 |
| St. Francois, MO | 0.90 | 4 | 18 | 359 |
| Bergen, NJ | 0.89 | 68 | 314 | 462 |
| Cumberland, NC | 0.89 | 15 | 91 | 408 |
| Ellis, TX | 0.89 | 11 | 42 | 433 |
| Mille Lacs, MN | 0.89 | 3 | 7 | 520 |
| Somerset, PA | 0.89 | 8 | 18 | 240 |
| Tom Green, TX | 0.89 | 7 | 36 | 309 |
| Ventura, CA | 0.89 | 63 | 241 | 457 |
| Douglas, NE | 0.88 | 37 | 255 | 391 |
| Marion, WV | 0.88 | 4 | 13 | 330 |
| Montgomery, VA | 0.88 | 5 | 32 | 384 |
| Pulaski, AR | 0.88 | 22 | 187 | 512 |
| Pulaski, MO | 0.88 | 4 | 10 | 381 |
| Sussex, DE | 0.88 | 16 | 65 | 356 |
| Trumbull, OH | 0.88 | 15 | 46 | 326 |
| Weber, UT | 0.88 | 15 | 85 | 581 |
| Salt Lake, UT | 0.87 | 82 | 551 | 383 |
| Sandusky, OH | 0.87 | 6 | 19 | 382 |
| Sarasota, FL | 0.87 | 31 | 127 | 459 |
| St. Tammany Parish, LA | 0.87 | 14 | 66 | 371 |
| Franklin, WA | 0.86 | 4 | 27 | 396 |
| Washington, VA | 0.86 | 4 | 14 | 325 |
| Dodge, WI | 0.85 | 9 | 27 | 385 |
| Guilford, NC | 0.85 | 32 | 205 | 407 |
| Hall, GA | 0.85 | 10 | 67 | 387 |
| Hillsborough, FL | 0.85 | 115 | 514 | 480 |
| Multnomah, OR | 0.85 | 70 | 358 | 506 |
| Somerset, NJ | 0.85 | 23 | 133 | 437 |
| Tarrant, TX | 0.85 | 90 | 670 | 505 |
| Champaign, IL | 0.84 | 14 | 68 | 383 |
| Los Angeles, CA | 0.84 | 627 | 3,010 | 626 |
| Richland, SC | 0.84 | 27 | 159 | 409 |
| Seneca, OH | 0.84 | 4 | 14 | 272 |
| Bay, FL | 0.83 | 11 | 54 | 573 |
| Bernalillo, NM | 0.83 | 48 | 232 | 477 |
| Coweta, GA | 0.83 | 6 | 29 | 501 |
| LaSalle, IL | 0.83 | 11 | 29 | 409 |
| St. Clair, AL | 0.83 | 6 | 14 | 254 |
| Cuyahoga, OH | 0.82 | 76 | 499 | 420 |
| Grays Harbor, WA | 0.82 | 7 | 16 | 264 |
| Greene, MO | 0.82 | 21 | 121 | 432 |
| Henry, GA | 0.82 | 8 | 48 | 470 |
| Mercer, WV | 0.82 | 4 | 13 | 329 |
| Scott, IA | 0.82 | 11 | 62 | 500 |
| Caddo Parish, LA | 0.81 | 16 | 74 | 341 |
| Columbia, PA | 0.81 | 5 | 17 | 385 |
| Grimes, TX | 0.81 | 5 | 5 | 524 |
| Kittitas, WA | 0.81 | 5 | 11 | 196 |
| Madison, AL | 0.81 | 23 | 146 | 487 |
| Marshall, KY | 0.81 | 3 | 8 | 273 |
| Roanoke City, VA | 0.81 | 10 | 45 | 263 |
| Stanislaus, CA | 0.81 | 17 | 135 | 518 |
| Stearns, MN | 0.81 | 8 | 59 | 390 |
| Bradley, TN | 0.80 | 6 | 31 | 357 |
| Davidson, TN | 0.80 | 52 | 339 | 549 |
| Greene, TN | 0.80 | 5 | 17 | 409 |
| Sauk, WI | 0.80 | 5 | 24 | 379 |
| Will, IL | 0.80 | 49 | 173 | 406 |
| Lauderdale, AL | 0.79 | 5 | 20 | 319 |
| Northampton, PA | 0.79 | 14 | 78 | 394 |
| Orange, NY | 0.79 | 28 | 97 | 422 |
| Ouachita Parish, LA | 0.79 | 15 | 47 | 332 |
| Surry, NC | 0.79 | 4 | 19 | 246 |
| Taylor, TX | 0.79 | 5 | 44 | 417 |
| Adams, IL | 0.78 | 3 | 22 | 367 |
| Bartow, GA | 0.78 | 5 | 28 | 397 |
| Cattaraugus, NY | 0.78 | 5 | 19 | 352 |
| Cecil, MD | 0.78 | 7 | 23 | 433 |
| Chatham, GA | 0.78 | 15 | 106 | 351 |
| Lake, OH | 0.78 | 20 | 63 | 518 |
| Mendocino, CA | 0.78 | 9 | 21 | 524 |
| Montgomery, OH | 0.78 | 30 | 168 | 441 |
| Sebastian, AR | 0.78 | 6 | 43 | 467 |
| Clark, IN | 0.77 | 8 | 37 | 438 |
| Dallas, TX | 0.77 | 131 | 1,142 | 524 |
| Blair, PA | 0.76 | 11 | 38 | 293 |
| Humboldt, CA | 0.76 | 10 | 32 | 453 |
| Nassau, NY | 0.76 | 85 | 384 | 462 |
| Philadelphia, PA | 0.76 | 56 | 432 | 442 |
| Hawaii, HI | 0.75 | 6 | 39 | 440 |
| Jefferson, AL | 0.75 | 25 | 226 | 425 |
| Manassas City, VA | 0.75 | 3 | 15 | 425 |
| Story, IA | 0.75 | 6 | 30 | 479 |
| Tompkins, NY | 0.75 | 8 | 31 | 357 |
| Warren, NY | 0.75 | 6 | 24 | 543 |
| Solano, CA | 0.74 | 20 | 86 | 548 |
| Augusta, VA | 0.73 | 7 | 18 | 486 |
| Benton, WA | 0.73 | 23 | 58 | 437 |
| Clallam, WA | 0.73 | 6 | 15 | 512 |
| Hancock, OH | 0.73 | 5 | 29 | 308 |
| Rock, WI | 0.73 | 12 | 42 | 294 |
| San Francisco, CA | 0.73 | 80 | 430 | 588 |
| Smith, TX | 0.73 | 10 | 66 | 517 |
| Winnebago, IL | 0.73 | 20 | 76 | 425 |
| Baltimore City, MD | 0.72 | 32 | 211 | 529 |
| Codington, SD | 0.72 | 3 | 10 | 321 |
| Craighead, AR | 0.72 | 7 | 33 | 448 |
| Jefferson Parish, LA | 0.72 | 16 | 111 | 403 |
| Sumter, FL | 0.72 | 5 | 20 | 493 |
| Napa, CA | 0.71 | 13 | 45 | 579 |
| Douglas, GA | 0.70 | 4 | 26 | 347 |
| Monroe, MI | 0.70 | 7 | 23 | 444 |
| Cumberland, PA | 0.69 | 19 | 80 | 411 |
| Hunt, TX | 0.69 | 4 | 17 | 489 |
| Kings, NY | 0.69 | 96 | 453 | 560 |
| Mobile, AL | 0.69 | 22 | 100 | 403 |
| East Baton Rouge Parish, LA | 0.68 | 23 | 149 | 381 |
| Lewis and Clark, MT | 0.68 | 5 | 22 | 335 |
| Pinal, AZ | 0.68 | 14 | 38 | 325 |
| Utah, UT | 0.68 | 28 | 158 | 495 |
| Baldwin, GA | 0.67 | 4 | 9 | 190 |
| Chelan, WA | 0.67 | 3 | 26 | 603 |
| Gaston, NC | 0.67 | 15 | 42 | 422 |
| Guaynabo Municipio, PR | 0.67 | 4 | 30 | 263 |
| Hudson, NJ | 0.67 | 39 | 148 | 405 |
| Steuben, NY | 0.67 | 7 | 21 | 555 |
| Cabell, WV | 0.66 | 7 | 29 | 371 |
| McCracken, KY | 0.66 | 4 | 22 | 452 |
| New Haven, CT | 0.66 | 57 | 207 | 385 |
| Providence, RI | 0.66 | 44 | 157 | 494 |
| Richmond, GA | 0.66 | 8 | 59 | 504 |
| Sheboygan, WI | 0.66 | 7 | 35 | 274 |
| Alameda, CA | 0.65 | 84 | 415 | 591 |
| Black Hawk, IA | 0.65 | 8 | 41 | 226 |
| Centre, PA | 0.65 | 11 | 37 | 423 |
| Kent, MI | 0.65 | 28 | 216 | 415 |
| Berkeley, WV | 0.64 | 11 | 20 | 338 |
| Clay, MO | 0.64 | 14 | 59 | 424 |
| DeSoto, MS | 0.64 | 11 | 37 | 462 |
| Door, WI | 0.64 | 4 | 8 | 264 |
| Stark, OH | 0.64 | 24 | 86 | 324 |
| Shelby, TN | 0.63 | 29 | 267 | 399 |
| Campbell, KY | 0.62 | 9 | 16 | 545 |
| Hidalgo, TX | 0.62 | 12 | 140 | 399 |
| Lawrence, PA | 0.62 | 7 | 15 | 341 |
| Muscogee, GA | 0.62 | 13 | 50 | 299 |
| Anderson, SC | 0.61 | 10 | 35 | 307 |
| Baltimore, MD | 0.61 | 43 | 188 | 742 |
| Mercer, NJ | 0.61 | 21 | 134 | 429 |
| Muskingum, OH | 0.61 | 6 | 18 | 280 |
| Spartanburg, SC | 0.61 | 17 | 79 | 425 |
| Calhoun, MI | 0.60 | 4 | 27 | 357 |
| Santa Clara, CA | 0.60 | 83 | 556 | 755 |
| Floyd, GA | 0.59 | 7 | 20 | 551 |
| Minnehaha, SD | 0.59 | 13 | 66 | 714 |
| Passaic, NJ | 0.59 | 27 | 80 | 418 |
| Richland, OH | 0.59 | 5 | 25 | 415 |
| Suffolk City, VA | 0.59 | 5 | 17 | 346 |
| Hampden, MA | 0.58 | 25 | 100 | 477 |
| Kankakee, IL | 0.58 | 5 | 22 | 361 |
| Kern, CA | 0.58 | 31 | 168 | 448 |
| Leon, FL | 0.58 | 16 | 76 | 328 |
| Norfolk City, VA | 0.58 | 8 | 68 | 400 |
| Kennebec, ME | 0.57 | 9 | 30 | 391 |
| Marion, OR | 0.57 | 21 | 79 | 550 |
| Reno, KS | 0.57 | 4 | 13 | 203 |
| San Joaquin, CA | 0.56 | 29 | 127 | 423 |
| Clearfield, PA | 0.55 | 5 | 14 | 170 |
| Crawford, PA | 0.55 | 5 | 14 | 188 |
| El Paso, TX | 0.55 | 41 | 147 | 344 |
| Grundy, IL | 0.55 | 6 | 10 | 405 |
| Lackawanna, PA | 0.55 | 8 | 44 | 364 |
| Rowan, NC | 0.55 | 4 | 23 | 497 |
| Ravalli, MT | 0.54 | 4 | 6 | 283 |
| Shiawassee, MI | 0.54 | 3 | 7 | 459 |
| Adams, CO | 0.53 | 24 | 104 | 484 |
| Houston, GA | 0.53 | 11 | 29 | 402 |
| Kings, CA | 0.53 | 6 | 22 | 354 |
| Lake, IN | 0.53 | 9 | 85 | 440 |
| Orange, TX | 0.53 | 4 | 10 | 209 |
| Platte, NE | 0.53 | 3 | 9 | 492 |
| Rankin, MS | 0.53 | 4 | 29 | 549 |
| Sacramento, CA | 0.53 | 61 | 306 | 504 |
| Alamance, NC | 0.52 | 5 | 28 | 493 |
| Clinton, OH | 0.52 | 3 | 8 | 275 |
| Coffee, TN | 0.52 | 5 | 12 | 361 |
| Dubuque, IA | 0.52 | 7 | 26 | 457 |
| Fayette, KY | 0.52 | 22 | 86 | 475 |
| Knox, OH | 0.52 | 3 | 9 | 228 |
| Miami-Dade, FL | 0.52 | 142 | 493 | 591 |
| Montrose, CO | 0.52 | 4 | 7 | 397 |
| Canyon, ID | 0.51 | 15 | 34 | 365 |
| Chisago, MN | 0.51 | 4 | 7 | 218 |
| Effingham, IL | 0.51 | 4 | 10 | 211 |
| Richmond, NY | 0.51 | 15 | 55 | 425 |
| San Bernardino, CA | 0.51 | 69 | 345 | 473 |
| St. Joseph, IN | 0.51 | 5 | 52 | 454 |
| Chautauqua, NY | 0.50 | 5 | 20 | 503 |
| Harvey, KS | 0.50 | 3 | 6 | 260 |
| Monterey, CA | 0.50 | 18 | 87 | 518 |
| Cleveland, NC | 0.49 | 6 | 15 | 278 |
| Clinton, NY | 0.49 | 4 | 14 | 359 |
| Monongalia, WV | 0.49 | 4 | 24 | 374 |
| Whitfield, GA | 0.49 | 4 | 24 | 306 |
| Jefferson, KY | 0.47 | 35 | 187 | 526 |
| Madison, NE | 0.47 | 3 | 9 | 279 |
| Portsmouth City, VA | 0.46 | 5 | 18 | 471 |
| Taney, MO | 0.46 | 3 | 11 | 422 |
| Jefferson, TX | 0.45 | 8 | 45 | 347 |
| Luzerne, PA | 0.45 | 16 | 55 | 353 |
| Cambria, PA | 0.43 | 5 | 18 | 277 |
| Cole, MO | 0.43 | 7 | 20 | 427 |
| Hamblen, TN | 0.43 | 4 | 12 | 246 |
| Ramsey, MN | 0.43 | 19 | 117 | 316 |
| Yuma, AZ | 0.43 | 8 | 23 | 486 |
| Ashtabula, OH | 0.42 | 5 | 11 | 487 |
| Montgomery, AL | 0.42 | 7 | 46 | 469 |
| Cayuga, NY | 0.41 | 4 | 9 | 285 |
| New York, NY | 0.41 | 145 | 770 | 653 |
| Saginaw, MI | 0.40 | 8 | 28 | 427 |
| Essex, NJ | 0.39 | 22 | 107 | 651 |
| Grafton, NH | 0.37 | 8 | 17 | 435 |
| Grand Traverse, MI | 0.37 | 8 | 16 | 562 |
| Harrison, MS | 0.37 | 11 | 27 | 415 |
| Honolulu, HI | 0.37 | 37 | 123 | 387 |
| Bowie, TX | 0.36 | 7 | 13 | 336 |
| Cape May, NJ | 0.36 | 7 | 14 | 681 |
| Imperial, CA | 0.36 | 5 | 19 | 295 |
| Columbia, WI | 0.35 | 4 | 7 | 327 |
| Chemung, NY | 0.34 | 6 | 10 | 271 |
| District of Columbia | 0.34 | 34 | 220 | 511 |
| Harrison, WV | 0.33 | 3 | 10 | 411 |
| Otsego, MI | 0.33 | 3 | 3 | 363 |
| Cameron, TX | 0.32 | 11 | 39 | 527 |
| Stark, ND | 0.32 | 3 | 5 | 292 |
| Anderson, TN | 0.31 | 5 | 11 | 438 |
| Kaufman, TX | 0.31 | 4 | 9 | 428 |
| Prince George's, MD | 0.31 | 21 | 82 | 543 |
| Buchanan, MO | 0.30 | 4 | 12 | 464 |
| Potter, TX | 0.30 | 5 | 20 | 531 |
| Fresno, CA | 0.29 | 25 | 100 | 464 |
| Washington, VT | 0.29 | 8 | 8 | 278 |
| Calcasieu Parish, LA | 0.28 | 9 | 19 | 309 |
| Wilkes, NC | 0.28 | 3 | 5 | 358 |
| Middlesex, NJ | 0.26 | 33 | 92 | 431 |
| Northumberland, PA | 0.26 | 5 | 6 | 326 |
| Rensselaer, NY | 0.26 | 10 | 12 | 389 |
| Rapides Parish, LA | 0.25 | 5 | 12 | 353 |
| Webb, TX | 0.22 | 6 | 19 | 317 |
| Grant, IN | 0.21 | 4 | 5 | 381 |
| Yakima, WA | 0.20 | 7 | 22 | 311 |
| Queens, NY | 0.18 | 56 | 100 | 534 |
| Marshall, AL | 0.12 | 4 | 4 | 214 |
| Tulare, CA | 0.11 | 8 | 15 | 470 |
| Bronx, NY | 0.06 | 8 | 16 | 538 |
Bandera County, Texas, and Pender County, North Carolina, were other counties where employment was concentrated at greater than 5 times the national average in September 2020. In Bandera County, Texas, workers earned an average weekly wage of $472, in line with the national average. Workers in Pender County, North Carolina, earned an average weekly wage of $421, $57 less than the national average.
In September 2020, there were 10,051 businesses in the pet and pet supplies stores industry, with 110,596 workers. These workers earned an average weekly wage of $569. The concentration of employment in pet and pet supplies stores in Jefferson County, Washington, was 5.70 times the national rate. In Jefferson County, 41 workers in this industry earned an average weekly wage of $420, almost $150 less than the national average.
| County | Employment location quotient | Business establishments | Employment | Average weekly wage |
|---|---|---|---|---|
| Jefferson, WA | 5.70 | 4 | 41 | $420 |
| Fredericksburg City, VA | 5.23 | 3 | 94 | 593 |
| Amador, CA | 5.14 | 3 | 48 | 556 |
| Fairfax City, VA | 4.81 | 4 | 68 | 450 |
| Kittitas, WA | 4.57 | 4 | 55 | 464 |
| El Dorado, CA | 3.90 | 8 | 168 | 587 |
| Warren, NJ | 3.90 | 6 | 93 | 643 |
| Carroll, NH | 3.64 | 5 | 54 | 542 |
| Fauquier, VA | 3.59 | 3 | 61 | 597 |
| Victoria, TX | 3.48 | 5 | 98 | 487 |
| Jefferson, KY | 3.39 | 33 | 1,200 | 815 |
| Nevada, CA | 3.24 | 6 | 76 | 523 |
| Washington, MN | 3.16 | 12 | 213 | 739 |
| Riley, KS | 2.99 | 3 | 64 | 516 |
| Calaveras, CA | 2.97 | 3 | 23 | 421 |
| Winchester City, VA | 2.92 | 4 | 56 | 496 |
| Saratoga, NY | 2.87 | 12 | 191 | 628 |
| Sandoval, NM | 2.85 | 5 | 67 | 460 |
| Strafford, NH | 2.80 | 8 | 103 | 542 |
| Morgan, IN | 2.78 | 3 | 34 | 382 |
| Douglas, KS | 2.73 | 7 | 100 | 537 |
| Greene, OH | 2.71 | 11 | 161 | 389 |
| Fairfield, OH | 2.70 | 8 | 91 | 373 |
| San Luis Obispo, CA | 2.54 | 15 | 220 | 645 |
| Pasco, FL | 2.51 | 17 | 242 | 447 |
| Tolland, CT | 2.50 | 9 | 78 | 423 |
| Placer, CA | 2.49 | 24 | 318 | 608 |
| Lynchburg City, VA | 2.48 | 5 | 95 | 506 |
| Ozaukee, WI | 2.48 | 8 | 80 | 467 |
| Manatee, FL | 2.43 | 21 | 236 | 582 |
| Cherokee, SC | 2.42 | 3 | 38 | 817 |
| Matanuska-Susitna Borough, AK | 2.39 | 4 | 49 | 621 |
| Clermont, OH | 2.36 | 7 | 107 | 532 |
| Rockingham, NH | 2.33 | 24 | 270 | 544 |
| Volusia, FL | 2.33 | 33 | 310 | 722 |
| Mohave, AZ | 2.30 | 10 | 93 | 500 |
| Washington, RI | 2.28 | 11 | 95 | 489 |
| Douglas, CO | 2.26 | 21 | 233 | 596 |
| Saline, AR | 2.26 | 3 | 45 | 670 |
| Island, WA | 2.25 | 4 | 29 | 516 |
| Alamance, NC | 2.23 | 6 | 107 | 429 |
| Geauga, OH | 2.21 | 6 | 60 | 441 |
| Lee, NC | 2.19 | 3 | 43 | 430 |
| Clarke, GA | 2.18 | 7 | 114 | 323 |
| Carroll, MD | 2.17 | 7 | 93 | 614 |
| Virginia Beach City, VA | 2.17 | 19 | 292 | 467 |
| Charles, MD | 2.16 | 4 | 66 | 538 |
| Otsego, NY | 2.16 | 4 | 36 | 444 |
| Livingston, MI | 2.14 | 7 | 101 | 455 |
| Humboldt, CA | 2.08 | 11 | 78 | 605 |
| Montgomery, TX | 2.06 | 23 | 304 | 538 |
| Washington, UT | 2.05 | 8 | 119 | 496 |
| Hamilton, IN | 2.04 | 17 | 229 | 445 |
| Clallam, WA | 2.03 | 6 | 37 | 545 |
| Stafford, VA | 2.00 | 4 | 70 | 602 |
| Clark, WA | 1.98 | 22 | 247 | 764 |
| Sutter, CA | 1.96 | 4 | 49 | 660 |
| Fort Bend, TX | 1.95 | 24 | 292 | 753 |
| Gloucester, NJ | 1.95 | 15 | 170 | 469 |
| Boone, KY | 1.94 | 9 | 144 | 527 |
| Bucks, PA | 1.94 | 37 | 382 | 426 |
| Glynn, GA | 1.94 | 4 | 56 | 351 |
| Washington, OR | 1.94 | 39 | 440 | 664 |
| Parker, TX | 1.92 | 4 | 51 | 539 |
| Williamson, TX | 1.92 | 24 | 274 | 530 |
| Lauderdale, AL | 1.91 | 3 | 43 | 520 |
| Dakota, MN | 1.90 | 19 | 269 | 512 |
| Lancaster, SC | 1.88 | 3 | 38 | 456 |
| LaSalle, IL | 1.87 | 5 | 58 | 416 |
| Henderson, NC | 1.86 | 7 | 58 | 483 |
| Shelby, AL | 1.86 | 8 | 119 | 600 |
| Worcester, MD | 1.85 | 5 | 37 | 475 |
| Benton, OR | 1.84 | 4 | 52 | 529 |
| Marin, CA | 1.84 | 22 | 150 | 626 |
| Cabarrus, NC | 1.83 | 10 | 107 | 454 |
| James City, VA | 1.83 | 5 | 38 | 561 |
| Jefferson, CO | 1.83 | 33 | 339 | 571 |
| Delaware, OH | 1.82 | 10 | 124 | 432 |
| Porter, IN | 1.82 | 5 | 84 | 463 |
| Sumter, FL | 1.82 | 5 | 45 | 437 |
| Lincoln, OR | 1.81 | 4 | 25 | 442 |
| Ellis, TX | 1.79 | 3 | 75 | 588 |
| Chemung, NY | 1.78 | 4 | 47 | 581 |
| Gallatin, MT | 1.78 | 7 | 87 | 490 |
| Grand Forks, ND | 1.77 | 4 | 53 | 537 |
| Burlington, NJ | 1.76 | 19 | 267 | 662 |
| Contra Costa, CA | 1.76 | 39 | 467 | 668 |
| Hendricks, IN | 1.76 | 7 | 105 | 496 |
| Kitsap, WA | 1.76 | 14 | 122 | 641 |
| Snohomish, WA | 1.76 | 34 | 381 | 642 |
| Sonoma, CA | 1.76 | 24 | 268 | 717 |
| Berkeley, SC | 1.75 | 5 | 76 | 533 |
| Hunterdon, NJ | 1.74 | 9 | 61 | 524 |
| Clatsop, OR | 1.73 | 4 | 25 | 494 |
| Johnson, KS | 1.73 | 32 | 464 | 539 |
| Pinellas, FL | 1.73 | 58 | 575 | 545 |
| Sussex, NJ | 1.73 | 5 | 49 | 517 |
| Anne Arundel, MD | 1.72 | 24 | 350 | 523 |
| Highlands, FL | 1.72 | 3 | 35 | 497 |
| St. Mary's, MD | 1.72 | 4 | 62 | 526 |
| Vigo, IN | 1.72 | 4 | 62 | 353 |
| Hillsborough, NH | 1.71 | 23 | 265 | 509 |
| Sheridan, WY | 1.70 | 3 | 18 | 502 |
| Vanderburgh, IN | 1.70 | 9 | 139 | 403 |
| Comal, TX | 1.69 | 7 | 78 | 573 |
| Hampton City, VA | 1.69 | 4 | 67 | 447 |
| Ingham, MI | 1.69 | 7 | 190 | 475 |
| Knox, OH | 1.69 | 3 | 26 | 483 |
| Santa Cruz, CA | 1.69 | 13 | 134 | 673 |
| Cherokee, GA | 1.68 | 8 | 87 | 447 |
| Clackamas, OR | 1.68 | 20 | 212 | 696 |
| Collier, FL | 1.68 | 29 | 187 | 662 |
| Nassau, NY | 1.68 | 52 | 758 | 731 |
| Seminole, FL | 1.67 | 32 | 255 | 524 |
| Sarasota, FL | 1.66 | 34 | 215 | 578 |
| Ventura, CA | 1.66 | 36 | 402 | 640 |
| Cowlitz, WA | 1.65 | 4 | 51 | 615 |
| Muskingum, OH | 1.65 | 3 | 43 | 419 |
| Palm Beach, FL | 1.65 | 83 | 748 | 528 |
| Rensselaer, NY | 1.65 | 7 | 68 | 513 |
| Brazoria, TX | 1.62 | 8 | 141 | 559 |
| Marquette, MI | 1.62 | 4 | 33 | 1,228 |
| Racine, WI | 1.61 | 6 | 91 | 501 |
| Lake, IL | 1.60 | 24 | 407 | 509 |
| Martin, FL | 1.60 | 9 | 85 | 482 |
| Guaynabo Municipio, PR | 1.59 | 4 | 63 | 434 |
| Jackson, NC | 1.59 | 4 | 18 | 387 |
| Bristol, MA | 1.58 | 23 | 266 | 580 |
| Clay, MO | 1.58 | 11 | 129 | 595 |
| Fairfield, CT | 1.58 | 54 | 483 | 825 |
| Genesee, MI | 1.58 | 11 | 157 | 483 |
| Lexington, SC | 1.58 | 13 | 149 | 561 |
| Denton, TX | 1.57 | 24 | 323 | 575 |
| La Plata, CO | 1.57 | 4 | 31 | 629 |
| Lee, FL | 1.57 | 39 | 318 | 500 |
| Columbia, GA | 1.56 | 4 | 46 | 627 |
| Summit, CO | 1.56 | 4 | 23 | 816 |
| Camden, NJ | 1.55 | 20 | 232 | 526 |
| El Paso, CO | 1.55 | 26 | 343 | 572 |
| Okaloosa, FL | 1.55 | 12 | 104 | 443 |
| Thurston, WA | 1.55 | 14 | 140 | 619 |
| Craven, NC | 1.54 | 4 | 47 | 433 |
| Lake, OH | 1.54 | 10 | 111 | 399 |
| Lorain, OH | 1.54 | 15 | 114 | 420 |
| Navajo, AZ | 1.54 | 6 | 33 | 449 |
| Prince William, VA | 1.54 | 13 | 154 | 528 |
| Yamhill, OR | 1.54 | 3 | 44 | 518 |
| Arapahoe, CO | 1.53 | 28 | 390 | 660 |
| Douglas, NV | 1.53 | 4 | 22 | 561 |
| Putnam, NY | 1.53 | 6 | 30 | 509 |
| Rutland, VT | 1.53 | 5 | 29 | 519 |
| Houston, AL | 1.52 | 5 | 57 | 594 |
| Lane, OR | 1.52 | 21 | 176 | 514 |
| Montgomery, VA | 1.52 | 4 | 49 | 481 |
| Schenectady, NY | 1.52 | 5 | 69 | 527 |
| Will, IL | 1.52 | 20 | 292 | 520 |
| Johnson, IA | 1.51 | 5 | 94 | 547 |
| St. Johns, FL | 1.51 | 11 | 94 | 545 |
| York, PA | 1.51 | 18 | 203 | 453 |
| Broward, FL | 1.50 | 97 | 904 | 612 |
| Canyon, ID | 1.50 | 6 | 88 | 672 |
| Brazos, TX | 1.49 | 6 | 123 | 469 |
| Chesterfield, VA | 1.49 | 14 | 155 | 570 |
| Delaware, PA | 1.49 | 22 | 246 | 493 |
| Sumner, TN | 1.49 | 6 | 66 | 554 |
| Bayamón Municipio, PR | 1.48 | 6 | 59 | 390 |
| Monmouth, NJ | 1.48 | 34 | 289 | 581 |
| Pima, AZ | 1.48 | 31 | 422 | 572 |
| Chesapeake City, VA | 1.47 | 8 | 115 | 485 |
| Collin, TX | 1.47 | 30 | 497 | 659 |
| Galveston, TX | 1.47 | 8 | 123 | 506 |
| Sedgwick, KS | 1.47 | 20 | 281 | 507 |
| Solano, CA | 1.47 | 14 | 153 | 638 |
| Suffolk, NY | 1.47 | 71 | 725 | 530 |
| Anoka, MN | 1.46 | 13 | 142 | 641 |
| Berks, PA | 1.46 | 17 | 188 | 404 |
| Pierce, WA | 1.46 | 32 | 351 | 637 |
| Henrico, VA | 1.45 | 17 | 207 | 499 |
| Tehama, CA | 1.45 | 3 | 22 | 491 |
| Knox, TN | 1.44 | 19 | 267 | 555 |
| Macomb, MI | 1.44 | 34 | 351 | 441 |
| Monroe, PA | 1.43 | 8 | 60 | 459 |
| Osceola, FL | 1.43 | 12 | 102 | 519 |
| Ward, ND | 1.43 | 3 | 34 | 478 |
| Warren, OH | 1.43 | 11 | 106 | 482 |
| Lancaster, PA | 1.41 | 20 | 261 | 488 |
| Larimer, CO | 1.40 | 18 | 178 | 550 |
| Washington, WI | 1.40 | 5 | 61 | 441 |
| Passaic, NJ | 1.39 | 16 | 167 | 511 |
| Aiken, SC | 1.38 | 5 | 64 | 527 |
| Buncombe, NC | 1.38 | 12 | 135 | 501 |
| Riverside, CA | 1.38 | 68 | 779 | 593 |
| Westmoreland, PA | 1.38 | 9 | 137 | 352 |
| Iredell, NC | 1.37 | 7 | 82 | 515 |
| Skagit, WA | 1.37 | 5 | 54 | 643 |
| Bonner, ID | 1.36 | 4 | 16 | 519 |
| Jefferson, MO | 1.36 | 4 | 50 | 484 |
| Stark, OH | 1.36 | 12 | 163 | 372 |
| Brunswick, NC | 1.35 | 4 | 36 | 369 |
| Erie, OH | 1.35 | 4 | 37 | 382 |
| Montgomery, PA | 1.35 | 43 | 508 | 467 |
| Scott, IA | 1.35 | 7 | 91 | 421 |
| Boulder, CO | 1.34 | 25 | 190 | 637 |
| Cochise, AZ | 1.34 | 4 | 38 | 603 |
| Sussex, DE | 1.34 | 14 | 88 | 549 |
| Yavapai, AZ | 1.34 | 8 | 68 | 510 |
| Forsyth, GA | 1.33 | 7 | 79 | 560 |
| Monroe, IN | 1.33 | 5 | 66 | 527 |
| Sarpy, NE | 1.33 | 7 | 76 | 592 |
| St. Louis, MO | 1.33 | 41 | 601 | 545 |
| St. Tammany Parish, LA | 1.33 | 11 | 90 | 541 |
| Allen, IN | 1.32 | 13 | 194 | 434 |
| Wayne, PA | 1.32 | 3 | 15 | 377 |
| Albemarle, VA | 1.31 | 5 | 58 | 525 |
| Bay, FL | 1.31 | 9 | 76 | 526 |
| Hancock, OH | 1.31 | 5 | 46 | 494 |
| San Diego, CA | 1.31 | 137 | 1,413 | 633 |
| Butte, CA | 1.30 | 10 | 77 | 605 |
| Penobscot, ME | 1.30 | 6 | 70 | 477 |
| Wayne, NC | 1.30 | 3 | 40 | 521 |
| Bernalillo, NM | 1.29 | 25 | 320 | 454 |
| Deschutes, OR | 1.29 | 9 | 86 | 632 |
| Erie, NY | 1.29 | 41 | 443 | 471 |
| Flathead, MT | 1.29 | 5 | 46 | 543 |
| Maricopa, AZ | 1.29 | 142 | 2,054 | 664 |
| Monroe, NY | 1.29 | 31 | 366 | 489 |
| New Haven, CT | 1.29 | 31 | 363 | 569 |
| Roanoke City, VA | 1.28 | 5 | 63 | 586 |
| Smith, TX | 1.28 | 5 | 103 | 452 |
| Wake, NC | 1.28 | 42 | 560 | 514 |
| Ada, ID | 1.27 | 26 | 256 | 553 |
| Baldwin, AL | 1.27 | 8 | 74 | 566 |
| Lebanon, PA | 1.27 | 5 | 49 | 430 |
| Oneida, WI | 1.27 | 3 | 16 | 247 |
| St. Lucie, FL | 1.27 | 10 | 79 | 476 |
| Erie, PA | 1.26 | 9 | 114 | 439 |
| Orange, NY | 1.26 | 13 | 137 | 647 |
| Alameda, CA | 1.25 | 61 | 716 | 757 |
| Anchorage municipality, AK | 1.25 | 9 | 136 | 616 |
| Clinton, NY | 1.25 | 3 | 32 | 512 |
| Davis, UT | 1.24 | 7 | 134 | 532 |
| Essex, MA | 1.24 | 27 | 297 | 687 |
| Loudoun, VA | 1.24 | 14 | 163 | 569 |
| Ocean, NJ | 1.24 | 17 | 162 | 543 |
| Rock Island, IL | 1.24 | 4 | 68 | 422 |
| Bexar, TX | 1.23 | 51 | 812 | 838 |
| Brevard, FL | 1.23 | 25 | 210 | 476 |
| Cumberland, PA | 1.23 | 11 | 127 | 448 |
| DeKalb, IL | 1.23 | 3 | 34 | 537 |
| Dona Ana, NM | 1.23 | 6 | 69 | 499 |
| Kenai Peninsula Borough, AK | 1.23 | 3 | 19 | 648 |
| Lucas, OH | 1.23 | 14 | 191 | 373 |
| Shasta, CA | 1.23 | 8 | 64 | 580 |
| Atlantic, NJ | 1.22 | 13 | 111 | 507 |
| Hanover, VA | 1.22 | 5 | 49 | 541 |
| Kent, MI | 1.22 | 14 | 359 | 405 |
| Newport News City, VA | 1.22 | 6 | 96 | 480 |
| Shawnee, KS | 1.22 | 5 | 90 | 499 |
| Baltimore, MD | 1.21 | 30 | 334 | 521 |
| Grand Traverse, MI | 1.21 | 4 | 46 | 518 |
| Hampden, MA | 1.21 | 13 | 185 | 577 |
| Story, IA | 1.21 | 3 | 43 | 526 |
| Summit, UT | 1.21 | 4 | 23 | 1,021 |
| Alexandria City, VA | 1.20 | 9 | 79 | 457 |
| Butler, PA | 1.20 | 8 | 79 | 596 |
| Clark, NV | 1.20 | 57 | 840 | 632 |
| Lake, FL | 1.20 | 17 | 95 | 507 |
| Manitowoc, WI | 1.20 | 4 | 31 | 483 |
| Kane, IL | 1.19 | 15 | 184 | 540 |
| Kankakee, IL | 1.19 | 3 | 40 | 470 |
| Litchfield, CT | 1.19 | 11 | 55 | 559 |
| Oakland, MI | 1.19 | 58 | 644 | 485 |
| Rice, MN | 1.19 | 3 | 23 | 484 |
| Washington, MD | 1.19 | 6 | 57 | 468 |
| Cobb, GA | 1.18 | 28 | 330 | 521 |
| El Paso, TX | 1.18 | 18 | 281 | 481 |
| Horry, SC | 1.18 | 11 | 117 | 508 |
| Ponce Municipio, PR | 1.18 | 5 | 40 | 421 |
| St. Clair, IL | 1.18 | 6 | 81 | 526 |
| Taylor, TX | 1.18 | 3 | 58 | 503 |
| Washoe, NV | 1.18 | 19 | 200 | 578 |
| Cascade, MT | 1.17 | 4 | 32 | 661 |
| Marathon, WI | 1.17 | 5 | 64 | 569 |
| Ulster, NY | 1.17 | 9 | 52 | 595 |
| Cumberland, ME | 1.16 | 21 | 162 | 491 |
| Tarrant, TX | 1.16 | 59 | 810 | 556 |
| Cape May, NJ | 1.15 | 6 | 40 | 472 |
| Chittenden, VT | 1.15 | 7 | 87 | 665 |
| Natrona, WY | 1.15 | 3 | 33 | 553 |
| Orange, FL | 1.15 | 68 | 676 | 592 |
| Hays, TX | 1.14 | 6 | 65 | 510 |
| King, WA | 1.14 | 114 | 1,221 | 692 |
| Missoula, MT | 1.14 | 4 | 54 | 625 |
| Morris, NJ | 1.14 | 25 | 246 | 515 |
| Rutherford, TN | 1.14 | 7 | 119 | 628 |
| Wayne, OH | 1.14 | 4 | 41 | 422 |
| Harnett, NC | 1.13 | 3 | 23 | 278 |
| Multnomah, OR | 1.13 | 44 | 422 | 598 |
| San Mateo, CA | 1.13 | 28 | 339 | 705 |
| York, ME | 1.13 | 9 | 65 | 542 |
| Cumberland, NC | 1.12 | 6 | 102 | 487 |
| Garland, AR | 1.12 | 3 | 32 | 515 |
| Lehigh, PA | 1.12 | 13 | 164 | 515 |
| Pennington, SD | 1.12 | 5 | 51 | 478 |
| Richland, SC | 1.12 | 13 | 188 | 439 |
| Frederick, VA | 1.11 | 3 | 30 | 492 |
| San Joaquin, CA | 1.11 | 16 | 225 | 624 |
| Allegheny, PA | 1.10 | 47 | 564 | 481 |
| Barnstable, MA | 1.10 | 14 | 81 | 683 |
| Chautauqua, NY | 1.10 | 5 | 39 | 420 |
| Douglas, NE | 1.10 | 20 | 286 | 501 |
| New Hanover, NC | 1.10 | 9 | 100 | 546 |
| Sacramento, CA | 1.10 | 47 | 563 | 622 |
| Stanislaus, CA | 1.10 | 14 | 164 | 657 |
| Westchester, NY | 1.10 | 45 | 339 | 657 |
| Bonneville, ID | 1.09 | 4 | 48 | 553 |
| Dane, WI | 1.09 | 21 | 284 | 482 |
| DeSoto, MS | 1.09 | 6 | 56 | 497 |
| Dutchess, NY | 1.09 | 12 | 90 | 520 |
| Hillsborough, FL | 1.09 | 59 | 588 | 570 |
| Kennebec, ME | 1.09 | 5 | 51 | 516 |
| Laramie, WY | 1.09 | 4 | 40 | 464 |
| Harrison, MS | 1.08 | 5 | 70 | 525 |
| Jackson, OR | 1.08 | 8 | 76 | 570 |
| Summit, OH | 1.08 | 20 | 218 | 398 |
| Bergen, NJ | 1.07 | 42 | 338 | 519 |
| Gwinnett, GA | 1.07 | 23 | 294 | 543 |
| Hartford, CT | 1.07 | 37 | 406 | 511 |
| Howard, MD | 1.07 | 13 | 137 | 543 |
| Mahoning, OH | 1.07 | 8 | 78 | 421 |
| Orange, CA | 1.07 | 118 | 1,246 | 604 |
| Buchanan, MO | 1.06 | 4 | 38 | 513 |
| Madera, CA | 1.06 | 4 | 43 | 526 |
| Polk, IA | 1.06 | 18 | 242 | 468 |
| Honolulu, HI | 1.05 | 31 | 310 | 622 |
| Travis, TX | 1.05 | 47 | 622 | 648 |
| Charleston, SC | 1.04 | 21 | 198 | 537 |
| Duval, FL | 1.04 | 42 | 424 | 507 |
| New London, CT | 1.04 | 9 | 90 | 514 |
| Rock, WI | 1.04 | 7 | 53 | 568 |
| San Bernardino, CA | 1.04 | 62 | 624 | 610 |
| Somerset, NJ | 1.04 | 13 | 145 | 589 |
| Union, NC | 1.04 | 6 | 52 | 448 |
| Wayne, MI | 1.04 | 48 | 559 | 524 |
| Butler, OH | 1.03 | 13 | 123 | 454 |
| Cook, IL | 1.03 | 135 | 1,940 | 586 |
| Greene, MO | 1.03 | 13 | 136 | 472 |
| Guilford, NC | 1.03 | 14 | 221 | 450 |
| Polk, OR | 1.03 | 3 | 17 | 559 |
| Prince George's, MD | 1.03 | 15 | 239 | 606 |
| Monroe, MI | 1.02 | 7 | 30 | 509 |
| Beaver, PA | 1.01 | 4 | 42 | 568 |
| Benton, AR | 1.01 | 12 | 100 | 544 |
| Broomfield, CO | 1.01 | 4 | 31 | 545 |
| Union, NJ | 1.01 | 12 | 169 | 754 |
| Bell, TX | 1.00 | 6 | 94 | 585 |
| Cuyahoga, OH | 1.00 | 50 | 539 | 425 |
| Morgan, AL | 1.00 | 3 | 39 | 660 |
| Niagara, NY | 1.00 | 6 | 54 | 484 |
| Roanoke, VA | 1.00 | 3 | 30 | 506 |
| U.S. TOTAL | 1.00 | 10,051 | 110,596 | 569 |
| Washington, VT | 1.00 | 4 | 25 | 496 |
| Berkshire, MA | 0.99 | 5 | 43 | 650 |
| Jackson, MI | 0.99 | 3 | 42 | 397 |
| Norfolk, MA | 0.99 | 22 | 250 | 649 |
| Santa Barbara, CA | 0.99 | 15 | 162 | 681 |
| Washington, PA | 0.99 | 6 | 63 | 516 |
| Adams, CO | 0.98 | 18 | 173 | 654 |
| Chatham, GA | 0.98 | 6 | 118 | 549 |
| Eagle, CO | 0.98 | 5 | 23 | 786 |
| Jackson, MO | 0.98 | 21 | 276 | 480 |
| Madison, IL | 0.98 | 6 | 78 | 541 |
| Franklin, MO | 0.97 | 3 | 29 | 479 |
| Hamilton, OH | 0.96 | 32 | 372 | 443 |
| Shelby, TN | 0.96 | 14 | 362 | 741 |
| Hennepin, MN | 0.95 | 41 | 647 | 597 |
| Washtenaw, MI | 0.95 | 16 | 154 | 480 |
| Alachua, FL | 0.94 | 10 | 96 | 515 |
| Mobile, AL | 0.94 | 7 | 122 | 469 |
| Lafayette Parish, LA | 0.93 | 9 | 90 | 563 |
| Leon, FL | 0.93 | 9 | 108 | 499 |
| Los Angeles, CA | 0.93 | 265 | 2,965 | 639 |
| Whatcom, WA | 0.93 | 8 | 63 | 641 |
| Boone, MO | 0.92 | 4 | 67 | 485 |
| Miami-Dade, FL | 0.92 | 128 | 766 | 558 |
| Milwaukee, WI | 0.92 | 23 | 330 | 456 |
| Fayette, KY | 0.91 | 18 | 132 | 437 |
| Franklin, OH | 0.91 | 47 | 527 | 599 |
| Mecklenburg, NC | 0.91 | 44 | 494 | 510 |
| Marion, OR | 0.90 | 9 | 112 | 628 |
| Middlesex, MA | 0.90 | 45 | 617 | 651 |
| Daviess, KY | 0.89 | 4 | 31 | 524 |
| Gaston, NC | 0.89 | 5 | 50 | 518 |
| Gunnison, CO | 0.89 | 3 | 6 | 356 |
| Jefferson Parish, LA | 0.89 | 12 | 123 | 594 |
| Lancaster, NE | 0.89 | 10 | 117 | 461 |
| Rockland, NY | 0.89 | 7 | 85 | 537 |
| Benton, WA | 0.88 | 6 | 62 | 639 |
| Marion, IN | 0.88 | 31 | 399 | 510 |
| Sevier, TN | 0.88 | 4 | 33 | 534 |
| Spokane, WA | 0.88 | 14 | 153 | 595 |
| Williamson, TN | 0.88 | 9 | 95 | 695 |
| Harris, TX | 0.87 | 121 | 1,516 | 549 |
| Lubbock, TX | 0.87 | 6 | 95 | 483 |
| Fairfax, VA | 0.86 | 38 | 408 | 571 |
| Fresno, CA | 0.86 | 17 | 263 | 605 |
| Nueces, TX | 0.86 | 10 | 102 | 488 |
| Oklahoma, OK | 0.86 | 26 | 302 | 497 |
| Tulsa, OK | 0.86 | 22 | 234 | 536 |
| Cass, ND | 0.85 | 4 | 79 | 554 |
| Lackawanna, PA | 0.85 | 6 | 61 | 375 |
| Citrus, FL | 0.84 | 3 | 21 | 375 |
| Greenville, SC | 0.84 | 14 | 178 | 533 |
| Marion, FL | 0.84 | 17 | 70 | 530 |
| Minnehaha, SD | 0.84 | 6 | 84 | 568 |
| Onondaga, NY | 0.84 | 15 | 154 | 605 |
| Ontario, NY | 0.84 | 5 | 33 | 639 |
| Monroe, FL | 0.82 | 5 | 24 | 538 |
| Montgomery, MD | 0.82 | 27 | 286 | 589 |
| Tompkins, NY | 0.82 | 3 | 30 | 503 |
| Madison, AL | 0.81 | 13 | 130 | 502 |
| Monongalia, WV | 0.81 | 4 | 35 | 577 |
| Montgomery, OH | 0.81 | 14 | 156 | 438 |
| Outagamie, WI | 0.81 | 4 | 67 | 376 |
| Forsyth, NC | 0.80 | 13 | 116 | 450 |
| Napa, CA | 0.80 | 5 | 45 | 560 |
| Pitt, NC | 0.80 | 3 | 48 | 494 |
| Androscoggin, ME | 0.79 | 3 | 30 | 499 |
| Catawba, NC | 0.78 | 5 | 52 | 436 |
| Ramsey, MN | 0.78 | 15 | 191 | 531 |
| DuPage, IL | 0.77 | 28 | 348 | 640 |
| Monterey, CA | 0.77 | 14 | 120 | 614 |
| Kootenai, ID | 0.76 | 6 | 40 | 570 |
| Miami, OH | 0.76 | 3 | 24 | 449 |
| Ouachita Parish, LA | 0.76 | 4 | 40 | 421 |
| Polk, FL | 0.76 | 17 | 139 | 518 |
| Wood, OH | 0.76 | 4 | 40 | 490 |
| DeKalb, GA | 0.75 | 16 | 170 | 551 |
| Calhoun, MI | 0.74 | 4 | 30 | 522 |
| Dubuque, IA | 0.74 | 4 | 33 | 544 |
| Santa Clara, CA | 0.74 | 46 | 609 | 629 |
| Yolo, CA | 0.74 | 8 | 61 | 654 |
| Hancock, ME | 0.72 | 3 | 13 | 567 |
| Dauphin, PA | 0.71 | 11 | 99 | 484 |
| Jefferson, TX | 0.70 | 6 | 62 | 480 |
| Newport, RI | 0.70 | 3 | 22 | 762 |
| Calcasieu Parish, LA | 0.69 | 5 | 42 | 492 |
| Denver, CO | 0.69 | 29 | 266 | 659 |
| Davidson, TN | 0.68 | 24 | 257 | 603 |
| Providence, RI | 0.68 | 16 | 145 | 583 |
| Stearns, MN | 0.68 | 3 | 44 | 692 |
| Tuscaloosa, AL | 0.68 | 3 | 49 | 375 |
| Orange, NC | 0.67 | 4 | 37 | 613 |
| Tulare, CA | 0.67 | 10 | 84 | 586 |
| Hamilton, TN | 0.66 | 9 | 104 | 557 |
| Kern, CA | 0.64 | 10 | 165 | 584 |
| Salt Lake, UT | 0.64 | 32 | 360 | 567 |
| Fulton, GA | 0.63 | 31 | 416 | 601 |
| Montgomery, AL | 0.63 | 6 | 62 | 453 |
| Philadelphia, PA | 0.63 | 38 | 316 | 660 |
| St. Louis, MN | 0.63 | 5 | 45 | 480 |
| Hidalgo, TX | 0.62 | 12 | 125 | 513 |
| Rapides Parish, LA | 0.62 | 3 | 27 | 485 |
| Charlottesville City, VA | 0.60 | 4 | 17 | 603 |
| Centre, PA | 0.59 | 4 | 30 | 662 |
| Dallas, TX | 0.59 | 60 | 773 | 667 |
| Boone, IN | 0.57 | 3 | 16 | 664 |
| McLennan, TX | 0.55 | 5 | 49 | 548 |
| Richmond, GA | 0.55 | 3 | 44 | 672 |
| Saginaw, MI | 0.55 | 3 | 34 | 452 |
| Utah, UT | 0.54 | 10 | 112 | 484 |
| Linn, IA | 0.53 | 4 | 51 | 467 |
| Hudson, NJ | 0.52 | 9 | 101 | 865 |
| Washington, AR | 0.52 | 6 | 45 | 488 |
| East Baton Rouge Parish, LA | 0.51 | 9 | 99 | 541 |
| Kings, NY | 0.51 | 50 | 299 | 516 |
| Hinds, MS | 0.50 | 5 | 45 | 550 |
| Yakima, WA | 0.49 | 5 | 47 | 859 |
| Spartanburg, SC | 0.47 | 6 | 54 | 524 |
| Orleans Parish, LA | 0.46 | 7 | 59 | 623 |
| Pulaski, AR | 0.45 | 9 | 86 | 569 |
| Essex, NJ | 0.44 | 11 | 108 | 523 |
| Queens, NY | 0.43 | 41 | 216 | 628 |
| Richmond City, VA | 0.43 | 7 | 50 | 572 |
| Jefferson, AL | 0.41 | 10 | 109 | 528 |
| Mendocino, CA | 0.38 | 5 | 9 | 599 |
| San Francisco, CA | 0.37 | 30 | 196 | 716 |
| Suffolk, MA | 0.33 | 15 | 165 | 671 |
| Wyandotte, KS | 0.28 | 3 | 20 | 413 |
| Wood, WI | 0.27 | 3 | 8 | 225 |
| St. Louis City, MO | 0.26 | 4 | 44 | 472 |
| District of Columbia | 0.20 | 15 | 113 | 654 |
| Baltimore City, MD | 0.19 | 8 | 49 | 466 |
| Steuben, NY | 0.18 | 3 | 5 | 584 |
Other counties with employment concentrations in pet and pet supplies stores that were greater than 5 times the national rate were Fredericksburg City, Virginia, and Amadour County, California. In Fredericksburg City, Virginia, the 94 workers in this industry earned an average weekly wage of $593, compared with $556 for the 48 workers in Amadour County, California.
Location quotients are the ratio of an industry’s employment share in an area to its national share. For example, an industry with 6 percent of county employment and 2 percent of national employment would have a location quotient in that county of 6/2 = 3. A location quotient greater than 1 means the industry has a higher share of area employment than the national average.
These data are from the Quarterly Census of Employment and Wages. For more information on location quotients and to calculate location quotients for other analysis areas, use the Location Quotient Calculator. Also, you can get more industry employment data for the nation, states, counties, and metropolitan areas through the data viewer tool.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Counties with highest job concentrations in pet care services and pet supply stores at https://www.bls.gov/opub/ted/2021/counties-with-highest-job-concentrations-in-pet-care-services-and-pet-supply-stores.htm (visited March 12, 2026).
