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USPTO Patent Rankings Data through Dec 31, 2025
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Top Cities for Patents 2016

Ranked by total patent count — worldwide

Showing 1,001–1,200 of 41,021 cities

Rank City Patents ↓ Inventors ↕ Per 1k pop. ↕
#1001 Seoul, KR 126 29 —
#1002 Stevensville, MI 126 44 109.8
#1003 Troy, OH 126 44 4.8
#1004 Windsor, CA 126 80 —
#1005 Craydon Court, CA 125 54 —
#1006 Fullerton, CA 125 67 0.9
#1007 Germantown, TN 125 62 3.0
#1008 Jalan Pedongkelan, NJ 125 31 —
#1009 Lino Lakes, MN 125 55 5.8
#1010 Melrose, MA 125 66 4.2
#1011 Mexico City, MX 125 109 —
#1012 Millbrae, CA 125 62 5.4
#1013 Munich, DE 125 51 —
#1014 O'Fallon, MO 125 67 1.4
#1015 Rueil-Malmaison, FR 125 88 —
#1016 Seojong-myeon, KR 125 47 —
#1017 Brossard, CA 124 34 —
#1018 Cheshire, CT 124 62 —
#1019 Echterdingen, DE 124 57 —
#1020 Miami Beach, FL 124 59 1.5
#1021 Oshima, JP 124 85 —
#1022 Pyeongtaek-si, KR 124 77 —
#1023 Victoria, CA 124 84 —
#1024 Ballston Lake, NY 123 49 —
#1025 Ballwin, MO 123 54 4.0
#1026 Capitola, CA 123 75 12.4
#1027 Collierville, TN 123 68 2.4
#1028 Daejeon, KR 123 23 —
#1029 Lawrenceville, NJ 123 75 32.8
#1030 Leesburg, VA 123 75 2.5
#1031 Marseilles, FR 123 105 —
#1032 Plainfield, IL 123 65 2.8
#1033 Rio de Janeiro, BR 123 92 —
#1034 Summit, NJ 123 60 5.4
#1035 The Hague, NL 123 83 —
#1036 Toledo, OH 123 79 0.5
#1037 Wuxi, CN 123 80 —
#1038 Anmyeon-eup, KR 122 83 —
#1039 Beer Sheva, IL 122 82 —
#1040 Bucharest, RO 122 96 —
#1041 Cameron Park, CA 122 79 6.5
#1042 Dortmund, DE 122 102 —
#1043 Park City, UT 122 70 14.5
#1044 Phoenixville, PA 122 52 6.6
#1045 Shakopee, MN 122 71 2.8
#1046 Tsuchiura, JP 122 78 —
#1047 Weston, FL 122 52 1.8
#1048 Briarcliff Manor, NY 121 38 16.0
#1049 Detroit, MI 121 73 0.2
#1050 Fishkill, NY 121 46 55.9
#1051 Glückstadt, DE 121 88 —
#1052 Madison, CT 121 61 —
#1053 Middleton, WI 121 70 5.5
#1054 Norcross, GA 121 58 7.0
#1055 Sioux Falls, SD 121 69 0.6
#1056 South Lyon, MI 121 73 10.3
#1057 St Ives, GB 121 74 —
#1058 Waalre, NL 121 56 —
#1059 Banluliao, TW 120 54 —
#1060 Gloucester, GB 120 33 —
#1061 Lagrangeville, NY 120 33 —
#1062 Palm Harbor, FL 120 76 2.0
#1063 Sakai, JP 120 16 —
#1064 Shaker Heights, OH 120 64 4.1
#1065 Slough, GB 120 59 —
#1066 Sodegaura, JP 120 60 —
#1067 Augsburg, DE 119 79 —
#1068 Beijing, CN 119 43 —
#1069 Bellingham, WA 119 76 1.3
#1070 Chesterfield Township, MI 119 73 —
#1071 Honey Gables, CA 119 13 —
#1072 Wilmington, NC 119 94 1.0
#1073 Burnsville, MN 118 76 1.8
#1074 Dexter, MI 118 59 26.2
#1075 Falls Church, VA 118 67 8.1
#1076 Holly Springs, NC 118 66 2.9
#1077 Koblenzer Straße, DE 118 69 —
#1078 Lake Zurich, IL 118 67 6.0
#1079 Ootawara, JP 118 59 —
#1080 Penzberg, DE 118 60 —
#1081 Saginaw, MI 118 35 2.7
#1082 Savage, MN 118 62 3.6
#1083 Tacoma, WA 118 65 0.5
#1084 Takasaki, JP 118 74 —
#1085 Thornton, CO 118 74 0.8
#1086 Tualatin, OR 118 55 4.2
#1087 Wauwatosa, WI 118 62 2.4
#1088 Abingdon, GB 117 72 —
#1089 Des Plaines, IL 117 66 1.9
#1090 Friedrichshafen, DE 117 58 —
#1091 Middletown, CT 117 66 2.5
#1092 Suzhou, CN 117 37 —
#1093 Brookfield, WI 116 74 2.8
#1094 Charleston, SC 116 90 0.8
#1095 Concord, CA 116 74 0.9
#1096 Hamamatsu, JP 116 27 —
#1097 Hsinchu, TW 116 2 —
#1098 Pullman, WA 116 79 3.5
#1099 Seto, JP 116 16 —
#1100 Shanghai, CN 116 55 —
#1101 Suwon-si, KR 116 22 —
#1102 White Lake, MI 116 41 —
#1103 Auburn, WA 115 60 1.3
#1104 Billerica, MA 115 61 —
#1105 Camas, WA 115 66 4.4
#1106 Coppell, TX 115 66 2.7
#1107 Dana Point, CA 115 53 3.5
#1108 Kuwana, JP 115 74 —
#1109 Lörrach, DE 115 70 —
#1110 North Oaks, MN 115 44 21.8
#1111 Pembroke Pines, FL 115 82 0.7
#1112 Peoria, AZ 115 66 0.6
#1113 Thornhill, CA 115 59 —
#1114 Wildwood, MO 115 56 3.2
#1115 Yokohama, JP 115 29 —
#1116 Cohoes, NY 114 34 6.3
#1117 Friendswood, TX 114 60 2.8
#1118 Gotenba, JP 114 58 —
#1119 Hefei, CN 114 66 —
#1120 Leatherhead, GB 114 86 —
#1121 Noblesville, IN 114 67 1.6
#1122 Okazaki, JP 114 40 —
#1123 Pune, IN 114 39 —
#1124 Saitama, JP 114 31 —
#1125 Sanford, FL 114 76 1.9
#1126 Southfield, MI 114 47 1.5
#1127 Southlake, TX 114 51 3.6
#1128 Surrey, CA 114 83 —
#1129 Tokyo, JP 114 34 —
#1130 Wayne, PA 114 57 15.9
#1131 Yongin-si, KR 114 17 —
#1132 Batesville, IN 113 40 15.7
#1133 Granger, IN 113 71 3.7
#1134 Nagaokakyo, JP 113 21 —
#1135 Pompano Beach, FL 113 66 1.0
#1136 South Bend, IN 113 62 1.1
#1137 Walnut, CA 113 69 4.0
#1138 Westlake Village, CA 113 63 14.1
#1139 Athens, GA 112 77 —
#1140 Castle Rock, CO 112 61 1.5
#1141 Dubuque, IA 112 80 1.9
#1142 Komaki, JP 112 71 —
#1143 La Cañada Flintridge, CA 112 59 5.4
#1144 Mill Creek, WA 112 52 5.3
#1145 New Orleans, LA 112 78 0.3
#1146 Oklahoma City, OK 112 82 0.2
#1147 Perrysburg, OH 112 59 4.5
#1148 Princeton Junction, NJ 112 57 45.2
#1149 Ramona, CA 112 62 5.2
#1150 Waterford, MI 112 62 —
#1151 Aberdeen, GB 111 74 —
#1152 Carlisle, MA 111 60 —
#1153 Fairfield, CT 111 54 —
#1154 Fresno, CA 111 65 0.2
#1155 Kennesaw, GA 111 56 3.4
#1156 Newcastle, WA 111 54 8.5
#1157 Zürich, CH 111 32 —
#1158 Attleboro, MA 110 71 2.4
#1159 Chanhassen, MN 110 54 4.2
#1160 Charenton-le-Pont, FR 110 87 —
#1161 Harrisburg, PA 110 61 2.2
#1162 Monroe, WA 110 43 5.6
#1163 Mount Kisco, NY 110 35 10.0
#1164 Neuchâtel, CH 110 60 —
#1165 New Haven, CT 110 84 0.8
#1166 Slingerlands, NY 110 23 —
#1167 Stevenage, GB 110 68 —
#1168 Xihu, TW 110 74 —
#1169 Evergreen, CO 109 54 11.7
#1170 Fargo, ND 109 64 0.9
#1171 Kokubunji, JP 109 58 —
#1172 Kusatsu, JP 109 63 —
#1173 Lynnwood, WA 109 70 2.8
#1174 Nesher, IL 109 64 —
#1175 Nottingham, GB 109 73 —
#1176 Pune, IN 109 11 —
#1177 Västerås, SE 109 67 —
#1178 Walldorf, DE 109 72 —
#1179 Wilmette, IL 109 65 3.9
#1180 Woburn, MA 109 74 2.7
#1181 Boulogne-Billancourt, FR 108 89 —
#1182 Chagrin Falls, OH 108 61 25.8
#1183 Lee's Summit, MO 108 69 1.1
#1184 Luleå, SE 108 57 —
#1185 Mechanicville, NY 108 28 20.9
#1186 Nantes, FR 108 86 —
#1187 San Leandro, CA 108 60 1.2
#1188 Seoul, KR 108 27 —
#1189 Viralimalai, IN 108 83 —
#1190 Warszawa, PL 108 97 —
#1191 Changhua City, TW 107 70 —
#1192 Cork, IE 107 61 —
#1193 Ditzingen, DE 107 55 —
#1194 Dover, NJ 107 51 5.8
#1195 Miramar, FL 107 36 0.8
#1196 Morton, IL 107 34 6.2
#1197 Nagano, JP 107 27 —
#1198 Wheaton, IL 107 56 2.0
#1199 Chengdu, CN 106 37 —
#1200 Chula Vista, CA 106 69 0.4

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