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USPTO Patent Rankings Data through Dec 31, 2025
Home › 2016 › Cities

Top Cities for Patents 2016

Ranked by total patent count — worldwide

Showing 3,401–3,600 of 41,021 cities

Rank City Patents ↓ Inventors ↕ Per 1k pop. ↕
#3401 Muscatine, IA 33 19 1.4
#3402 Nanhu, CN 33 12 —
#3403 Neu-Ulm, DE 33 26 —
#3404 New Castle, PA 33 26 1.5
#3405 New Lenox, IL 33 25 1.2
#3406 Nijmegen, NL 33 2 —
#3407 North Logan, UT 33 15 3.0
#3408 Oosterdijk, TX 33 24 —
#3409 Pepper Pike, OH 33 19 4.9
#3410 Reading, PA 33 19 0.3
#3411 Roselle, IL 33 13 1.4
#3412 Rothrist, CH 33 5 —
#3413 Rye, NY 33 18 2.0
#3414 Saronno, IT 33 16 —
#3415 Schwäbisch Hall, DE 33 24 —
#3416 Schwalbach am Taunus, DE 33 10 —
#3417 Shorewood, WI 33 23 2.4
#3418 Sonoma, CA 33 21 3.1
#3419 Springfield, OH 33 17 0.6
#3420 Statesboro, GA 33 28 1.0
#3421 Steyr, AT 33 25 —
#3422 Swampscott, MA 33 26 2.2
#3423 Tokyo, JP 33 11 —
#3424 Valence, FR 33 27 —
#3425 Victoria, MN 33 18 3.1
#3426 Viernheim, DE 33 21 —
#3427 Westminster, MD 33 22 1.6
#3428 Willmar, MN 33 11 1.6
#3429 Wilrijk, BE 33 21 —
#3430 Wyoming, MI 33 21 0.4
#3431 Zell am See, AT 33 9 —
#3432 Zhejiang, CN 33 7 —
#3433 Zichron Ya'akov, IL 33 24 —
#3434 Aiken, SC 32 25 1.0
#3435 Alteglofsheim, DE 32 8 —
#3436 Ama, JP 32 13 —
#3437 Anseong-si, KR 32 19 —
#3438 Beijing, CN 32 18 —
#3439 Blue Springs, MO 32 19 0.6
#3440 Bristol, GB 32 19 —
#3441 Carrollton, GA 32 22 1.2
#3442 Coeur d'Alene, ID 32 24 0.6
#3443 Columbus, NE 32 16 1.3
#3444 Coopersburg, PA 32 16 13.1
#3445 Cos Cob, CT 32 7 4.7
#3446 Crawfordsville, IN 32 15 2.0
#3447 Dashulong, TW 32 2 —
#3448 Daxi District, TW 32 20 —
#3449 Dongducheon-si, KR 32 1 —
#3450 Dordrecht, NL 32 21 —
#3451 Duarte, CA 32 21 1.5
#3452 Ecublens, CH 32 23 —
#3453 Eybens, FR 32 18 —
#3454 Fairfield, CA 32 21 0.3
#3455 Fairhaven, MA 32 6 —
#3456 Fareham, GB 32 16 —
#3457 Freeport, NY 32 15 0.7
#3458 Fresno Street, RI 32 23 —
#3459 Gelnhausen, DE 32 26 —
#3460 Gunpo-si, KR 32 7 —
#3461 Haarlem, NL 32 26 —
#3462 Haverhill, MA 32 25 0.5
#3463 Heeze, NL 32 13 —
#3464 Helsinki, FI 32 16 —
#3465 Homer Glen, IL 32 16 1.3
#3466 IJsselmuiden, NL 32 1 —
#3467 Iruma, JP 32 20 —
#3468 Johnston, RI 32 7 —
#3469 Karachi, PK 32 23 —
#3470 Lansdowne, PA 32 24 2.9
#3471 Lawrence, NJ 32 21 —
#3472 Lemmer, NL 32 1 —
#3473 Leven, GB 32 30 —
#3474 Longbeilingcun, CN 32 7 —
#3475 Lo Wu, CN 32 12 —
#3476 Markdorf, DE 32 26 —
#3477 Meguro, JP 32 19 —
#3478 Narita, JP 32 22 —
#3479 Or Yehuda, IL 32 25 —
#3480 Pelham, NH 32 22 —
#3481 Plochingen, DE 32 13 —
#3482 Ringoes, NJ 32 19 37.7
#3483 Roquefort-les-Pins, FR 32 3 —
#3484 Royersford, PA 32 18 6.5
#3485 Rüschlikon, CH 32 9 —
#3486 Saint-Avertin, FR 32 21 —
#3487 Sainte-Foy-lès-Lyon, FR 32 15 —
#3488 Salisbury, GB 32 27 —
#3489 Shizuoka, JP 32 10 —
#3490 Springfield, OR 32 16 0.5
#3491 Suzhou, CN 32 8 —
#3492 Sycamore, IL 32 20 1.7
#3493 Tatsuno, JP 32 21 —
#3494 Tettnang, DE 32 23 —
#3495 Tirat Karmel, IL 32 19 —
#3496 Tsu, JP 32 19 —
#3497 Uster, CH 32 18 —
#3498 Vaasa, FI 32 15 —
#3499 Vaux-le-Pénil, FR 32 20 —
#3500 Vicenza, IT 32 26 —
#3501 Vimercate, IT 32 22 —
#3502 Westfield, MA 32 23 0.8
#3503 Westmont, IL 32 19 1.3
#3504 Ardmore, PA 31 14 2.3
#3505 Baiersdorf, DE 31 19 —
#3506 Battle Creek, MI 31 21 0.6
#3507 Bengaluru, IN 31 22 —
#3508 Bowie, MD 31 22 0.5
#3509 Boylston, MA 31 18 —
#3510 Brig, CH 31 20 —
#3511 Butler, PA 31 26 2.3
#3512 Cheltenham, GB 31 26 —
#3513 Cheltenham, PA 31 18 —
#3514 Chester, NH 31 14 —
#3515 Chungju-si, KR 31 22 —
#3516 Clinton, CT 31 14 9.0
#3517 Coatesville, PA 31 21 2.3
#3518 Deephaven, MN 31 14 8.0
#3519 Eagle Mountain, UT 31 18 0.7
#3520 East Northport, NY 31 13 1.6
#3521 El Monte, CA 31 20 0.3
#3522 Fujisawa, JP 31 9 —
#3523 Galveston, TX 31 27 0.6
#3524 Gilching, DE 31 24 —
#3525 Haltern am See, DE 31 20 —
#3526 Hatfield, PA 31 18 8.9
#3527 Holly, MI 31 21 5.2
#3528 Holon, IL 31 7 —
#3529 Hsinchu, TW 31 8 —
#3530 Inuyama, JP 31 11 —
#3531 Jackson, NJ 31 27 —
#3532 Jeonju-si, KR 31 28 —
#3533 Kyoto, JP 31 7 —
#3534 Lampertheim, DE 31 21 —
#3535 Las Cruces, NM 31 30 0.3
#3536 Lawrenceburg, IN 31 14 6.0
#3537 Lexington, NC 31 19 1.6
#3538 Lincolnton, NC 31 8 2.8
#3539 Locke, NY 31 4 —
#3540 London, GB 31 9 —
#3541 Longbeilingcun, CN 31 15 —
#3542 Lowell, MI 31 12 7.5
#3543 Medina, MN 31 17 4.5
#3544 Menden, DE 31 8 —
#3545 Merrick, NY 31 17 1.4
#3546 Middletown, NY 31 19 1.0
#3547 Migdal HaEmek, IL 31 17 —
#3548 Morrow, OH 31 17 15.1
#3549 New Baltimore, MI 31 18 2.6
#3550 New Milford, NJ 31 11 1.8
#3551 Nisshin, JP 31 12 —
#3552 Nokia, FI 31 16 —
#3553 Oswego, IL 31 21 0.9
#3554 Owego, NY 31 21 8.5
#3555 Piziwei, TW 31 1 —
#3556 Port Aransas, TX 31 19 10.7
#3557 Port Washington, WI 31 17 2.5
#3558 Quebec City, CA 31 13 —
#3559 Querétaro, MX 31 25 —
#3560 Riverview, FL 31 24 0.3
#3561 Rugby, GB 31 12 —
#3562 Shanghai, CN 31 15 —
#3563 Shanghai, CN 31 16 —
#3564 Shiwen, TW 31 6 —
#3565 South Haven, MI 31 5 7.8
#3566 Steinheim, DE 31 25 —
#3567 Taoyuan, TW 31 8 —
#3568 Temple, TX 31 19 0.4
#3569 Toms River, NJ 31 18 0.3
#3570 Umeå, SE 31 30 —
#3571 Uxbridge, MA 31 17 —
#3572 Valparaiso, IN 31 27 0.9
#3573 Van Buren Township, MI 31 3 —
#3574 Vevey, CH 31 21 —
#3575 Walla Walla, WA 31 15 0.9
#3576 ᐙᔂᓂᐲ Waswanipi, CA 31 25 —
#3577 Weatherford, TX 31 21 1.0
#3578 Wesel, DE 31 19 —
#3579 West St. Paul, MN 31 16 1.5
#3580 Willich, DE 31 20 —
#3581 Wonju-si, KR 31 17 —
#3582 Yawata, JP 31 1 —
#3583 Aspen, CO 30 17 4.3
#3584 Augusta, GA 30 25 —
#3585 Bad Kötzting, DE 30 26 —
#3586 Bedford, TX 30 15 0.6
#3587 Besigheim, DE 30 22 —
#3588 Boucherville, CA 30 21 —
#3589 Bourbonnais, IL 30 23 1.6
#3590 Brambleton, VA 30 7 1.3
#3591 Caluire-et-Cuire, FR 30 15 —
#3592 Cheongsong-eup, KR 30 15 —
#3593 Chongqing, CN 30 12 —
#3594 Clinton, MA 30 16 3.7
#3595 Columbia City, IN 30 21 3.0
#3596 Dashulong, TW 30 3 —
#3597 Discovery Bay, CA 30 13 1.9
#3598 Durham, NH 30 12 2.7
#3599 Fairfield, NJ 30 12 —
#3600 Fayetteville, NY 30 20 7.1

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