Most Popular Baby Names In Minnesota
The 100 most-used girls' and boys' names among recorded births from Minnesota, 2016–2025 — 480,057 applications in that window. Below them: the names Minnesota uses far more than the rest of the country.
Girls’ names
- 1Charlotte2,6871.2%
- 2Olivia2,6761.2%
- 3Evelyn2,5861.2%
- 4Emma2,4351.1%
- 5Amelia2,0670.9%
- 6Nora2,0090.9%
- 7Harper1,9530.9%
- 8Ava1,8900.8%
- 9Sophia1,8670.8%
- 10Eleanor1,7970.8%
- 11Hazel1,6950.8%
- 12Lucy1,4820.7%
- 13Violet1,4470.6%
- 14Grace1,4160.6%
- 15Ella1,3770.6%
- 16Isabella1,3050.6%
- 17Isla1,2860.6%
- 18Avery1,2690.6%
- 19Mia1,2590.6%
- 20Elizabeth1,2560.6%
- 21Lillian1,1560.5%
- 22Scarlett1,1450.5%
- 23Lily1,1430.5%
- 24Abigail1,1390.5%
- 25Ellie1,1380.5%
- 26Aurora1,0970.5%
- 27Quinn1,0770.5%
- 28Penelope1,0590.5%
- 29Lydia1,0520.5%
- 30Vivian1,0400.5%
- 31Stella1,0200.5%
- 32Josephine1,0140.5%
- 33Everly1,0120.5%
- 34Cora1,0110.5%
- 35Aria1,0100.4%
- 36Mila1,0100.4%
- 37Chloe1,0080.4%
- 38Zoey1,0000.4%
- 39Clara9940.4%
- 40Hannah9940.4%
- 41Claire9910.4%
- 42Ivy9880.4%
- 43Ruby9750.4%
- 44Layla9690.4%
- 45Addison9570.4%
- 46Audrey9280.4%
- 47Luna9150.4%
- 48Madison8990.4%
- 49Emily8820.4%
- 50Willow8810.4%
- 51Adeline8530.4%
- 52Riley8110.4%
- 53Natalie8090.4%
- 54Paisley8070.4%
- 55Eloise7810.3%
- 56Aubrey7780.3%
- 57Hadley7780.3%
- 58Sofia7700.3%
- 59Piper7330.3%
- 60Kinsley7270.3%
- 61Madelyn7130.3%
- 62Maya7130.3%
- 63Madeline6980.3%
- 64Alice6970.3%
- 65Elsie6940.3%
- 66Brooklyn6900.3%
- 67Emilia6780.3%
- 68Nova6740.3%
- 69Sophie6570.3%
- 70Lainey6530.3%
- 71Kennedy6470.3%
- 72Isabelle6370.3%
- 73Eliana6350.3%
- 74Lyla6280.3%
- 75Margaret6270.3%
- 76Sadie6130.3%
- 77Anna6040.3%
- 78Victoria5960.3%
- 79Gianna5880.3%
- 80Eden5870.3%
- 81Hailey5750.3%
- 82Zoe5670.3%
- 83Naomi5660.3%
- 84Cecilia5610.2%
- 85Camila5590.2%
- 86Autumn5570.2%
- 87Freya5570.2%
- 88Savannah5560.2%
- 89Iris5480.2%
- 90Aisha5320.2%
- 91Rose5300.2%
- 92Emery5290.2%
- 93Amira5260.2%
- 94Julia5260.2%
- 95Peyton5200.2%
- 96June5190.2%
- 97Millie5190.2%
- 98Eva5180.2%
- 99Delilah5170.2%
- 100Maeve5170.2%
Boys’ names
- 1Henry3,4991.4%
- 2Oliver3,3321.3%
- 3Theodore2,9791.2%
- 4Liam2,8491.1%
- 5William2,6331.0%
- 6Jack2,4150.9%
- 7Owen2,3550.9%
- 8Noah2,3540.9%
- 9James2,2590.9%
- 10Leo2,0430.8%
- 11Levi1,9820.8%
- 12Benjamin1,9810.8%
- 13Jackson1,7290.7%
- 14Wyatt1,7240.7%
- 15Mason1,7110.7%
- 16Lincoln1,7080.7%
- 17Elijah1,7030.7%
- 18Hudson1,6430.6%
- 19Lucas1,6330.6%
- 20Bennett1,5040.6%
- 21Logan1,5000.6%
- 22Charles1,4760.6%
- 23Asher1,4540.6%
- 24Ethan1,4270.6%
- 25Maverick1,3840.5%
- 26Samuel1,3810.5%
- 27Thomas1,3790.5%
- 28Isaac1,3450.5%
- 29Miles1,3310.5%
- 30Brooks1,3120.5%
- 31Grayson1,3120.5%
- 32Nolan1,3020.5%
- 33Wesley1,3020.5%
- 34Alexander1,2810.5%
- 35Carter1,2760.5%
- 36Everett1,2540.5%
- 37Harrison1,2310.5%
- 38Ezra1,2170.5%
- 39Joseph1,2050.5%
- 40John1,1810.5%
- 41Michael1,1750.5%
- 42Cooper1,1710.5%
- 43Aiden1,1590.5%
- 44Emmett1,1430.4%
- 45Daniel1,1360.4%
- 46Cameron1,0960.4%
- 47Caleb1,0630.4%
- 48Calvin1,0630.4%
- 49Gabriel1,0490.4%
- 50Jacob1,0280.4%
- 51Easton1,0130.4%
- 52Sawyer1,0110.4%
- 53Beau1,0080.4%
- 54Luke9750.4%
- 55August9720.4%
- 56Mateo9650.4%
- 57Vincent9570.4%
- 58David9450.4%
- 59Weston9320.4%
- 60Eli9230.4%
- 61Landon9040.4%
- 62Jaxon8870.3%
- 63Connor8810.3%
- 64Parker8640.3%
- 65Colton8620.3%
- 66Jameson8540.3%
- 67Matthew8540.3%
- 68Andrew8520.3%
- 69Luca8510.3%
- 70Isaiah8350.3%
- 71Milo8310.3%
- 72Graham8300.3%
- 73Archer8270.3%
- 74Silas8230.3%
- 75Sebastian8190.3%
- 76Rowan8130.3%
- 77Hunter8100.3%
- 78Maxwell7890.3%
- 79Dylan7840.3%
- 80Micah7820.3%
- 81Roman7790.3%
- 82Declan7710.3%
- 83Jayden7650.3%
- 84Carson7610.3%
- 85Arthur7570.3%
- 86George7500.3%
- 87Arlo7490.3%
- 88Julian7490.3%
- 89Anthony7440.3%
- 90Elias7430.3%
- 91Charlie7320.3%
- 92Waylon7260.3%
- 93Axel7230.3%
- 94Mohamed7160.3%
- 95Evan7140.3%
- 96Myles7040.3%
- 97Elliot7010.3%
- 98Joshua6990.3%
- 99Nathan6880.3%
- 100Gavin6740.3%
Minnesota's signature names
Names used at least 2× as often in Minnesota as across all states combined, 2016–2025. The multiple compares Minnesota's share of listed births with the same share pooled across every state — the closest thing to "how Minnesota does it differently" the data can support.
Girls’ names
- Maida51.4× · 236 recorded
- Hanan26× · 97 recorded
- Sumaya23× · 168 recorded
- Sonja18× · 66 recorded
- Isra16.8× · 175 recorded
- Manha16.5× · 146 recorded
- Rahma14× · 98 recorded
- Sidra13.6× · 120 recorded
- Marwa13.4× · 138 recorded
- Asma12.5× · 129 recorded
- Safa11.4× · 213 recorded
- Tenzin10.8× · 56 recorded
- Elin10.6× · 166 recorded
- Greta8.9× · 495 recorded
- Linnea8.9× · 124 recorded
- Iqra8.8× · 88 recorded
- Asiya8.4× · 153 recorded
- Yusra7.3× · 178 recorded
- Anisa7.2× · 53 recorded
- Hafsa6.8× · 98 recorded
- Ingrid6.7× · 213 recorded
- Leni6.7× · 82 recorded
- Harriet6.5× · 183 recorded
- Luella6.3× · 249 recorded
- Samiya6.2× · 63 recorded
Boys’ names
- Muad46.7× · 182 recorded
- Abdullahi43.7× · 308 recorded
- Abdirahman43× · 372 recorded
- Musab36.7× · 140 recorded
- Akram35.1× · 159 recorded
- Ayub34.6× · 237 recorded
- Mahir31.8× · 310 recorded
- Luqman28.3× · 97 recorded
- Abubakar24.4× · 86 recorded
- Salman24.2× · 217 recorded
- Croix23.7× · 103 recorded
- Ayman15× · 237 recorded
- Safwan14.5× · 61 recorded
- Lars13× · 75 recorded
- Adnan12.9× · 121 recorded
- Imran11.9× · 331 recorded
- Henrik10.8× · 354 recorded
- Olin10.8× · 69 recorded
- Tenzin10.4× · 75 recorded
- Zakaria9.5× · 115 recorded
- Oskar8.5× · 109 recorded
- Mohamed7.8× · 716 recorded
- Crosby7.7× · 293 recorded
- Yasir7.7× · 155 recorded
- Anders7.1× · 262 recorded
All-time favorites, 1910–2025
The most-used names across everything Minnesota has recorded since 1910 — a very different list, dominated by the high-birth, low-variety decades of the mid-century.
Girls’ names
- 1Mary71,0132.4%
- 2Patricia30,8041.0%
- 3Jennifer30,0611.0%
- 4Susan29,5051.0%
- 5Barbara29,2431.0%
- 6Elizabeth29,0271.0%
- 7Linda25,2910.9%
- 8Margaret24,0900.8%
- 9Carol23,0300.8%
- 10Nancy23,0050.8%
- 11Karen22,5730.8%
- 12Kathleen21,3500.7%
- 13Sarah20,7780.7%
- 14Lisa19,7250.7%
- 15Julie19,5640.7%
- 16Dorothy19,4160.7%
- 17Jessica18,8910.6%
- 18Sandra18,4360.6%
- 19Emily18,3400.6%
- 20Amy17,9650.6%
- 21Michelle17,3920.6%
- 22Sharon16,5430.6%
- 23Helen16,2460.5%
- 24Diane16,2150.5%
- 25Ruth15,6550.5%
- 26Laura15,5050.5%
- 27Betty15,4410.5%
- 28Donna15,2570.5%
- 29Rebecca15,0490.5%
- 30Amanda14,7490.5%
- 31Nicole14,5440.5%
- 32Melissa14,3630.5%
- 33Shirley14,2860.5%
- 34Jean14,2410.5%
- 35Debra14,0260.5%
- 36Ashley13,9840.5%
- 37Anna13,6020.5%
- 38Katherine13,5240.5%
- 39Evelyn13,2620.4%
- 40Angela13,2250.4%
- 41Kathryn13,0980.4%
- 42Joan12,8950.4%
- 43Kimberly12,8250.4%
- 44Janet12,7210.4%
- 45Rachel12,6130.4%
- 46Judith12,4470.4%
- 47Ann12,1320.4%
- 48Emma12,0940.4%
- 49Kelly11,9850.4%
- 50Grace11,9660.4%
Boys’ names
- 1John85,6982.7%
- 2Michael82,7122.6%
- 3Robert82,1942.6%
- 4James79,7922.5%
- 5David74,9042.3%
- 6Richard56,3631.8%
- 7Thomas54,7171.7%
- 8William53,2761.7%
- 9Daniel44,7351.4%
- 10Joseph40,9471.3%
- 11Donald37,7661.2%
- 12Mark37,6621.2%
- 13Steven35,2641.1%
- 14Matthew34,9231.1%
- 15Paul32,0241.0%
- 16Charles31,6841.0%
- 17Andrew30,2060.9%
- 18Christopher28,0590.9%
- 19Scott27,6710.9%
- 20Timothy27,1270.8%
- 21Jeffrey26,9520.8%
- 22Brian26,8050.8%
- 23Kenneth23,6390.7%
- 24Ryan23,2780.7%
- 25Gary23,2380.7%
- 26Jacob22,4600.7%
- 27Ronald22,3740.7%
- 28Kevin22,1950.7%
- 29Joshua22,1830.7%
- 30Nicholas21,6210.7%
- 31Jason21,2060.7%
- 32Benjamin21,1040.7%
- 33Anthony19,6200.6%
- 34Dennis17,9780.6%
- 35George17,7210.6%
- 36Patrick17,6420.6%
- 37Eric17,1630.5%
- 38Douglas16,8280.5%
- 39Gregory16,8260.5%
- 40Roger16,2690.5%
- 41Peter16,2570.5%
- 42Gerald15,9920.5%
- 43Jack15,7810.5%
- 44Edward15,5970.5%
- 45Nathan15,5230.5%
- 46Adam14,9060.5%
- 47Samuel14,8700.5%
- 48Tyler14,4740.5%
- 49Bruce14,4560.5%
- 50Alexander14,1250.4%
State data starts in 1910 (national data goes back to 1880) and is censored per state and year: a name needs 5 uses in Minnesota in a year to appear at all. That censoring means state counts never sum to the national total, and it bites hardest on uncommon names in small states.
Counts are based on U.S. births and are tracked separately for girls and boys. Names used fewer than 5 times in a year aren’t published for that year, so totals here are a floor — the shortfall is largest in the sparse early years.