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USPTO Patent Rankings Data through Dec 31, 2025
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Top Cities for Patents 2021

Ranked by total patent count — worldwide

Showing 3,201–3,400 of 43,435 cities

Rank City Patents ↓ Inventors ↕ Per 1k pop. ↕
#3201 Kakuda, JP 38 17 —
#3202 Kizugawa, JP 38 25 —
#3203 Komatsushima, JP 38 20 —
#3204 Lansdowne, PA 38 28 3.4
#3205 La Verrière, FR 38 7 —
#3206 Leicester, GB 38 22 —
#3207 Ljungsbro, SE 38 5 —
#3208 Lo Wu, CN 38 14 —
#3209 Lo Wu, CN 38 10 —
#3210 Madison Heights, MI 38 28 1.3
#3211 McDonough, GA 38 15 1.3
#3212 Mito, JP 38 29 —
#3213 Montara, CA 38 18 13.4
#3214 Morrison, CO 38 21 96.0
#3215 Nes Ziona, IL 38 22 —
#3216 Nishitokyo, JP 38 28 —
#3217 North Grafton, MA 38 14 —
#3218 Placerville, CA 38 19 3.5
#3219 Rheinfelden (Baden), DE 38 24 —
#3220 Rowley, MA 38 14 24.9
#3221 Saint-Martin-d'Hères, FR 38 25 —
#3222 Schwieberdingen, DE 38 32 —
#3223 Shimosuwa-Machi, JP 38 14 —
#3224 Soest, DE 38 31 —
#3225 Songgye-ri, KR 38 13 —
#3226 Steinheim, DE 38 24 —
#3227 Streamwood, IL 38 22 1.0
#3228 Suzhou, CN 38 4 —
#3229 Taipei, TW 38 13 —
#3230 Tappan, NY 38 10 5.7
#3231 Valence, FR 38 27 —
#3232 Via Pasubio, NY 38 13 —
#3233 Waldbronn, DE 38 24 —
#3234 Watertown, WI 38 11 1.7
#3235 Watford, GB 38 19 —
#3236 Weert, NL 38 32 —
#3237 Wels, AT 38 30 —
#3238 Westminster, MD 38 25 1.9
#3239 Wheeling, IL 38 30 1.0
#3240 Yokohama, JP 38 16 —
#3241 Zhongpu, TW 38 30 —
#3242 Antioch, IL 37 24 2.5
#3243 Avezzano, IT 37 10 —
#3244 Beijing, CN 37 5 —
#3245 Bengaluru, IN 37 13 —
#3246 Bhangrola, IN 37 18 —
#3247 Bloomfield, CT 37 20 —
#3248 Buffalo, MN 37 20 2.3
#3249 Burlington, NC 37 21 0.7
#3250 Butler, PA 37 22 2.7
#3251 Clark, NJ 37 21 —
#3252 Claymont, DE 37 10 3.7
#3253 Clinton, CT 37 17 10.8
#3254 Colombo, LK 37 29 —
#3255 Dartmouth, CA 37 25 —
#3256 Davidson, NC 37 24 2.5
#3257 Durham, NH 37 16 3.3
#3258 Ellwangen, DE 37 25 —
#3259 Endicott, NY 37 28 2.7
#3260 Erfurt, DE 37 25 —
#3261 Forlì, IT 37 27 —
#3262 Friedberg, DE 37 17 —
#3263 Gainesville, GA 37 26 0.9
#3264 Hampton, VA 37 29 0.3
#3265 Handa, JP 37 16 —
#3266 Hanno, JP 37 16 —
#3267 Happy Valley, OR 37 25 1.6
#3268 Hofheim, DE 37 20 —
#3269 Hofuf, SA 37 28 —
#3270 Hwaseong-si, KR 37 10 —
#3271 Kirkwood, MO 37 31 1.3
#3272 Koto, JP 37 25 —
#3273 Lakeland, TN 37 14 2.7
#3274 Landenberg, PA 37 19 —
#3275 Lanzhou, CN 37 29 —
#3276 Lincoln, RI 37 12 —
#3277 Massillon, OH 37 22 1.1
#3278 Metuchen, NJ 37 20 2.5
#3279 Milan, MI 37 15 6.1
#3280 Minden, DE 37 21 —
#3281 Morges, CH 37 22 —
#3282 Naka, JP 37 27 —
#3283 Nanjing, CN 37 10 —
#3284 Nanjing, CN 37 7 —
#3285 Nevada City, CA 37 17 11.7
#3286 New Hudson, MI 37 17 —
#3287 North Ridgeville, OH 37 21 1.1
#3288 Oberursel, DE 37 21 —
#3289 Oregon, WI 37 23 3.3
#3290 Palm Coast, FL 37 14 0.4
#3291 Plainview, NY 37 21 1.4
#3292 Prospect, KY 37 19 8.1
#3293 Rua Maria Anália, VA 37 27 —
#3294 Rüschlikon, CH 37 13 —
#3295 Sauerlach, DE 37 13 —
#3296 Schriesheim, DE 37 22 —
#3297 Shanghai, CN 37 14 —
#3298 Sleepy Hollow, NY 37 17 3.7
#3299 Sturtevant, WI 37 8 5.3
#3300 Temple City, CA 37 13 1.0
#3301 Tottori, JP 37 28 —
#3302 Tours, FR 37 29 —
#3303 Trossingen, DE 37 11 —
#3304 Westminster, GB 37 31 —
#3305 West Warwick, RI 37 15 —
#3306 Willoughby, OH 37 23 1.5
#3307 Yongin-si, KR 37 9 —
#3308 Youngsville, NC 37 8 18.4
#3309 Amilly, FR 36 24 —
#3310 Azle, TX 36 11 2.7
#3311 Baar, CH 36 24 —
#3312 Baldwin, MD 36 9 —
#3313 Baldwinsville, NY 36 23 4.6
#3314 Bay Village, OH 36 20 2.2
#3315 Beijing, CN 36 3 —
#3316 Bowie, MD 36 23 0.6
#3317 Caledonia, MI 36 18 22.2
#3318 Candiac, CA 36 16 —
#3319 Coimbatore, IN 36 27 —
#3320 Como, IT 36 26 —
#3321 Dacula, GA 36 22 5.2
#3322 Decatur, IL 36 26 0.5
#3323 Denville, NJ 36 24 —
#3324 East Setauket, NY 36 20 3.3
#3325 Espoo, FI 36 4 —
#3326 Fallston, MD 36 17 3.9
#3327 Florence, SC 36 33 0.9
#3328 Fujisawa, JP 36 10 —
#3329 Gangneung-si, KR 36 28 —
#3330 Greenfield, WI 36 21 0.9
#3331 Haarlem, NL 36 26 —
#3332 Halfmoon, NY 36 10 —
#3333 Henry's Drive, CA 36 21 —
#3334 Hildesheim, DE 36 22 —
#3335 Huoshaolun, TW 36 7 —
#3336 Hurricane, UT 36 8 1.8
#3337 Hyattsville, MD 36 26 1.7
#3338 Inazawa, JP 36 18 —
#3339 Kakamigahara, JP 36 29 —
#3340 Kent, OH 36 21 1.3
#3341 Kettering, OH 36 25 0.6
#3342 Kiryat Shmona, IL 36 29 —
#3343 La Honda, CA 36 12 36.8
#3344 Lindenhurst, IL 36 24 2.5
#3345 Lo Wu, CN 36 4 —
#3346 Mahomet, IL 36 19 3.8
#3347 Mayfield Heights, OH 36 20 1.8
#3348 Metz, FR 36 26 —
#3349 Minowa, JP 36 20 —
#3350 Montgomery, AL 36 23 0.2
#3351 Nagaokakyo, JP 36 7 —
#3352 Nanhu, CN 36 7 —
#3353 Nazareth, PA 36 23 6.0
#3354 New Baltimore, MI 36 24 3.0
#3355 Niiza, JP 36 24 —
#3356 North Bergen, NJ 36 11 —
#3357 North Logan, UT 36 17 3.3
#3358 Offenbach, DE 36 27 —
#3359 Olive Branch, MS 36 19 0.9
#3360 Orland Park, IL 36 28 0.6
#3361 Peabody, MA 36 25 0.7
#3362 Petersham, MA 36 2 160.0
#3363 Plainville, MA 36 16 —
#3364 Pontedera, IT 36 24 —
#3365 Poonamallee, IN 36 29 —
#3366 Rosemount, MN 36 27 1.4
#3367 Salisbury, GB 36 24 —
#3368 Schopfheim, DE 36 21 —
#3369 Scotia, NY 36 22 5.0
#3370 Shanghai, CN 36 10 —
#3371 Stockport, GB 36 20 —
#3372 Tettnang, DE 36 24 —
#3373 Tsukuba, JP 36 9 —
#3374 Twin Falls, ID 36 20 0.7
#3375 Upper Saddle River, NJ 36 11 4.3
#3376 Urbana, IN 36 2 —
#3377 Watertown, CT 36 12 9.1
#3378 Wayne, MI 36 7 2.0
#3379 Weingarten, DE 36 30 —
#3380 West Fargo, ND 36 26 0.9
#3381 Wolha-ri, KR 36 1 —
#3382 Wyoming, MN 36 13 4.5
#3383 Zhengzhou, CN 36 12 —
#3384 Allendale, MI 35 7 1.3
#3385 Bad Homburg vor der Höhe, DE 35 23 —
#3386 Bat Yam, IL 35 25 —
#3387 Bebington, GB 35 24 —
#3388 Boiceville, NY 35 20 —
#3389 Bourg-la-Reine, FR 35 24 —
#3390 Chengdu, CN 35 17 —
#3391 Closter, NJ 35 12 4.1
#3392 Cudahy, WI 35 8 1.9
#3393 Everett, MA 35 15 0.7
#3394 Freeland, MI 35 19 4.6
#3395 Gémenos, FR 35 31 —
#3396 Gimhae-si, KR 35 25 —
#3397 Glen Mills, PA 35 20 —
#3398 Glenmoore, PA 35 15 40.1
#3399 Grosse Ile Township, MI 35 27 —
#3400 Hamura, JP 35 19 —

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