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USPTO Patent Rankings Data through Dec 31, 2025
Home › 2017 › Cities

Top Cities for Patents 2017

Ranked by total patent count — worldwide

Showing 3,401–3,600 of 42,209 cities

Rank City Patents ↓ Inventors ↕ Per 1k pop. ↕
#3401 Fujisawa, JP 34 1 —
#3402 Fukuyama, JP 34 23 —
#3403 Geoje-si, KR 34 22 —
#3404 Georgetown, CA 34 18 —
#3405 Grain Valley, MO 34 11 2.2
#3406 Haltern am See, DE 34 17 —
#3407 Hartford, CT 34 19 0.3
#3408 Hastings, MN 34 19 1.5
#3409 Hauppauge, NY 34 17 1.7
#3410 Higashiosaka, JP 34 23 —
#3411 Hsinchu, TW 34 11 —
#3412 Hunan, CN 34 2 —
#3413 Hwaseong-si, KR 34 11 —
#3414 Ibigawa, JP 34 16 —
#3415 Jianmenkeng, TW 34 11 —
#3416 Kearney, NE 34 11 1.0
#3417 Kinnelon, NJ 34 18 3.4
#3418 Krugerville, TX 34 3 19.2
#3419 Kunshan, CN 34 12 —
#3420 Lanzhou, CN 34 28 —
#3421 Lille, FR 34 29 —
#3422 London, GB 34 20 —
#3423 Longbeilingcun, CN 34 13 —
#3424 Mascalucia, IT 34 17 —
#3425 Masontown, PA 34 23 10.4
#3426 McMurray, PA 34 16 7.2
#3427 Meguro, JP 34 17 —
#3428 Middletown, PA 34 15 4.5
#3429 Milwaukie, OR 34 29 1.6
#3430 Mougins, FR 34 19 —
#3431 Müllheim, DE 34 14 —
#3432 Munich, DE 34 9 —
#3433 Nanuet, NY 34 17 1.8
#3434 New Albany, IN 34 14 0.9
#3435 Or Akiva, IL 34 25 —
#3436 Oronoco, MN 34 15 18.9
#3437 Palma, ES 34 25 —
#3438 Port Aransas, TX 34 24 11.7
#3439 Pretoria, ZA 34 32 —
#3440 Prospect, CT 34 15 —
#3441 Radolfzell, DE 34 17 —
#3442 Rahway, NJ 34 24 1.1
#3443 Randers, DK 34 25 —
#3444 Saint James, NY 34 9 —
#3445 Sewell, NJ 34 19 10.2
#3446 Shiki, JP 34 15 —
#3447 Tainan, TW 34 8 —
#3448 Taoyuan, TW 34 10 —
#3449 Tauberbischofsheim, DE 34 24 —
#3450 Tel Aviv-Yafo, IL 34 14 —
#3451 Tokyo, JP 34 9 —
#3452 Tokyo, JP 34 7 —
#3453 Upper Saddle River, NJ 34 15 4.1
#3454 Vadodara, IN 34 24 —
#3455 Waishuangxi, TW 34 1 —
#3456 Wentzville, MO 34 22 0.8
#3457 Weston, CT 34 20 34.7
#3458 Wheeling, IL 34 21 0.9
#3459 Wolfratshausen, DE 34 22 —
#3460 Yorkville, IL 34 15 1.6
#3461 Ama, JP 33 17 —
#3462 Anyang-si, KR 33 4 —
#3463 Arnhem, NL 33 26 —
#3464 Avezzano, IT 33 8 —
#3465 Beilstein, DE 33 13 —
#3466 Bogen, DE 33 24 —
#3467 Boo, SE 33 21 —
#3468 Brentwood, CA 33 24 0.5
#3469 Buxtehude, DE 33 23 —
#3470 Carrollton, GA 33 21 1.2
#3471 Changsha, CN 33 11 —
#3472 Changzhou City, CN 33 11 —
#3473 Clamart, FR 33 28 —
#3474 Columbia, PA 33 14 3.2
#3475 Conflans-Sainte-Honorine, FR 33 10 —
#3476 Cynwyd Estates, PA 33 7 —
#3477 Daguantang, CN 33 20 —
#3478 Deventer, NL 33 23 —
#3479 Dundee, GB 33 31 —
#3480 Falmouth, ME 33 15 16.6
#3481 Germering, DE 33 27 —
#3482 Gießen, DE 33 27 —
#3483 Granger, IA 33 8 19.9
#3484 Greenfield, WI 33 20 0.9
#3485 Haar, DE 33 17 —
#3486 Hampden, MA 33 5 —
#3487 Hanno, JP 33 21 —
#3488 Happy Valley, OR 33 21 1.4
#3489 Hatfield, PA 33 21 9.4
#3490 Holon, IL 33 7 —
#3491 Hong Kong, CN 33 7 —
#3492 Hugo, MN 33 20 2.1
#3493 Huntingdon Valley, PA 33 22 —
#3494 Huntington Station, NY 33 17 0.9
#3495 Irwin, PA 33 21 8.5
#3496 Jammu, IN 33 23 —
#3497 Jerusalem, IL 33 9 —
#3498 Jyväskylä, FI 33 19 —
#3499 Kansas City, KS 33 20 0.2
#3500 Kasai, JP 33 10 —
#3501 Kungsbacka, SE 33 16 —
#3502 La Ciotat, FR 33 22 —
#3503 Lancaster, CA 33 23 0.2
#3504 Langen, DE 33 24 —
#3505 L'Essart Mador, FR 33 16 —
#3506 Levallois-Perret, FR 33 25 —
#3507 Lockport, IL 33 18 1.3
#3508 Loganville, GA 33 24 2.3
#3509 Longbeilingcun, CN 33 3 —
#3510 Longbeilingcun, CN 33 9 —
#3511 Luxembourg, LU 33 23 —
#3512 Maassluis, NL 33 16 —
#3513 Maidenhead, GB 33 30 —
#3514 Matsumoto, JP 33 14 —
#3515 Meriden, CT 33 25 0.5
#3516 Minden, NV 33 19 9.6
#3517 New Boston, MI 33 11 —
#3518 North Olmsted, OH 33 25 1.0
#3519 Osnabrück, DE 33 27 —
#3520 Palmdale, CA 33 21 0.2
#3521 Petersham, MA 33 4 146.7
#3522 Pomona Park, FL 33 6 42.1
#3523 Portsmouth, RI 33 15 —
#3524 Poughquag, NY 33 15 —
#3525 Pully, CH 33 23 —
#3526 Remscheid, DE 33 29 —
#3527 Revere, MA 33 24 0.5
#3528 Richmond, GB 33 18 —
#3529 Rumson, NJ 33 15 4.5
#3530 Saint Louis, MO 33 26 —
#3531 Sankt Gallen, CH 33 23 —
#3532 Savanuru, IN 33 21 —
#3533 Shanghai, CN 33 17 —
#3534 Siegen, DE 33 22 —
#3535 Sierra Madre, CA 33 23 2.9
#3536 Skaneateles, NY 33 17 13.0
#3537 South Haven, MI 33 7 8.3
#3538 Springfield, MA 33 14 0.2
#3539 St. Clair Shores, MI 33 28 0.6
#3540 Stratham, NH 33 13 —
#3541 Suwon-si, KR 33 18 —
#3542 Suwon-si, KR 33 10 —
#3543 Taipei, TW 33 17 —
#3544 Taylor, MI 33 18 0.5
#3545 Tveria, IL 33 21 —
#3546 Vacaville, CA 33 21 0.3
#3547 Verona, NJ 33 20 —
#3548 Voisins-le-Bretonneux, FR 33 20 —
#3549 Weil der Stadt, DE 33 20 —
#3550 Wettingen, CH 33 24 —
#3551 Wilmington, OH 33 16 2.6
#3552 Woodhaven, MI 33 21 2.5
#3553 Wuhu, CN 33 1 —
#3554 Yonezawa, JP 33 19 —
#3555 Zagreb, HR 33 26 —
#3556 Abano Terme, IT 32 23 —
#3557 Akiruno, JP 32 18 —
#3558 Arlon, BE 32 16 —
#3559 Aspen, CO 32 18 4.6
#3560 Baden-Baden, DE 32 23 —
#3561 Bari, IT 32 19 —
#3562 Bedford, TX 32 20 0.6
#3563 Bellefonte, PA 32 19 5.2
#3564 Bhangrola, IN 32 8 —
#3565 Boucherville, CA 32 27 —
#3566 Canton, CT 32 17 —
#3567 Cesson-Sévigné, FR 32 17 —
#3568 Chantepie, FR 32 15 —
#3569 Chippewa Falls, WI 32 25 2.2
#3570 Clermont, FL 32 23 0.7
#3571 Daejeon, KR 32 3 —
#3572 Darien, IL 32 24 1.4
#3573 Dover, DE 32 19 0.8
#3574 Drachten, NL 32 24 —
#3575 East Hampton, CT 32 21 10.8
#3576 Easton, CT 32 14 —
#3577 East Setauket, NY 32 17 2.9
#3578 Englewood Cliffs, NJ 32 13 6.0
#3579 Épinal, FR 32 21 —
#3580 Eschweiler, DE 32 19 —
#3581 Ettlingen, DE 32 22 —
#3582 Florence, SC 32 24 0.8
#3583 Freiburg (Elbe), DE 32 14 —
#3584 Fujian, CN 32 5 —
#3585 Fukuoka, JP 32 9 —
#3586 Fürth, DE 32 24 —
#3587 Gangneung-si, KR 32 20 —
#3588 Göttingen, DE 32 21 —
#3589 Greenville, WI 32 17 —
#3590 Hamamatsu, JP 32 8 —
#3591 Hamilton, NZ 32 26 —
#3592 Hartford, VT 32 17 —
#3593 Hinsdale, IL 32 25 1.8
#3594 Hutchinson, MN 32 18 2.2
#3595 Inazawa, JP 32 22 —
#3596 Izumi, JP 32 15 —
#3597 Jackson, NJ 32 20 —
#3598 Jenison, MI 32 14 1.9
#3599 Johnstown, CO 32 10 1.9
#3600 Kamisu, JP 32 20 —

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