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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 October 31, 2024).