Most Popular Baby Names In Ohio
The 100 most-used girls' and boys' names among recorded births from Ohio, 2016–2025 — 1,041,646 applications in that window. Below them: the names Ohio uses far more than the rest of the country.
Girls’ names
- 1Olivia5,3941.1%
- 2Charlotte5,3631.1%
- 3Emma5,0261.0%
- 4Ava4,9511.0%
- 5Amelia4,9321.0%
- 6Sophia4,3710.9%
- 7Evelyn4,2800.9%
- 8Harper4,2780.9%
- 9Isabella3,5300.7%
- 10Nora3,2070.7%
- 11Eleanor3,0710.6%
- 12Avery2,9550.6%
- 13Mia2,9080.6%
- 14Ella2,7610.6%
- 15Scarlett2,7200.6%
- 16Elizabeth2,7120.6%
- 17Lillian2,6230.5%
- 18Ellie2,4170.5%
- 19Abigail2,4050.5%
- 20Layla2,3780.5%
- 21Aria2,3750.5%
- 22Violet2,3720.5%
- 23Willow2,3340.5%
- 24Aurora2,3300.5%
- 25Penelope2,2920.5%
- 26Paisley2,2760.5%
- 27Hazel2,2580.5%
- 28Riley2,2520.5%
- 29Grace2,1800.4%
- 30Nova2,1660.4%
- 31Lucy2,1190.4%
- 32Chloe2,0950.4%
- 33Madison2,0340.4%
- 34Addison1,9920.4%
- 35Mila1,9880.4%
- 36Zoey1,9490.4%
- 37Lily1,9240.4%
- 38Stella1,9030.4%
- 39Isla1,8840.4%
- 40Luna1,8350.4%
- 41Emily1,8270.4%
- 42Claire1,8250.4%
- 43Hannah1,7990.4%
- 44Quinn1,7520.4%
- 45Kinsley1,7430.4%
- 46Cora1,6640.3%
- 47Gianna1,6640.3%
- 48Josephine1,6570.3%
- 49Ivy1,6560.3%
- 50Lydia1,6480.3%
- 51Aubrey1,6260.3%
- 52Savannah1,6140.3%
- 53Naomi1,6050.3%
- 54Brooklyn1,5980.3%
- 55Audrey1,5910.3%
- 56Vivian1,5770.3%
- 57Kennedy1,5700.3%
- 58Everly1,4550.3%
- 59Anna1,4300.3%
- 60Natalie1,4230.3%
- 61Peyton1,4190.3%
- 62Madelyn1,4100.3%
- 63Ruby1,4100.3%
- 64Raelynn1,4040.3%
- 65Sadie1,4020.3%
- 66Gabriella1,3780.3%
- 67Clara1,3660.3%
- 68Piper1,3450.3%
- 69Sofia1,3400.3%
- 70Caroline1,3380.3%
- 71Emilia1,3370.3%
- 72Emery1,2530.3%
- 73Eliana1,2480.3%
- 74Skylar1,2430.3%
- 75Delilah1,2410.3%
- 76Leah1,2400.3%
- 77Lainey1,2310.3%
- 78Rylee1,2010.2%
- 79Adalynn1,1980.2%
- 80Josie1,1970.2%
- 81Autumn1,1830.2%
- 82Serenity1,1660.2%
- 83Hadley1,1540.2%
- 84Reagan1,1350.2%
- 85Adeline1,1330.2%
- 86Eloise1,1310.2%
- 87Iris1,1160.2%
- 88Zoe1,1070.2%
- 89Elena1,0650.2%
- 90Elliana1,0600.2%
- 91Alice1,0470.2%
- 92Nevaeh1,0460.2%
- 93Lyla1,0280.2%
- 94Maya1,0270.2%
- 95Eliza1,0200.2%
- 96Everleigh1,0050.2%
- 97Aaliyah9980.2%
- 98Sophie9920.2%
- 99Brielle9890.2%
- 100Cecilia9760.2%
Boys’ names
- 1Liam6,0321.1%
- 2Oliver5,9361.1%
- 3Noah5,6331.0%
- 4William4,7840.9%
- 5Henry4,7650.9%
- 6Elijah4,5870.8%
- 7James4,4860.8%
- 8Owen4,4400.8%
- 9Theodore4,2630.8%
- 10Lucas4,2290.8%
- 11Benjamin4,1410.8%
- 12Lincoln4,1110.7%
- 13Carter4,0280.7%
- 14Jackson3,9890.7%
- 15Wyatt3,8060.7%
- 16Grayson3,7500.7%
- 17Michael3,7230.7%
- 18Mason3,7160.7%
- 19Jack3,5720.6%
- 20Hudson3,4530.6%
- 21Levi3,3760.6%
- 22Logan3,2590.6%
- 23Samuel3,1080.6%
- 24Joseph3,1030.6%
- 25Luke3,0340.6%
- 26Alexander3,0320.6%
- 27Leo2,9110.5%
- 28Jacob2,8590.5%
- 29John2,8520.5%
- 30Asher2,7710.5%
- 31Ethan2,6810.5%
- 32Charles2,6260.5%
- 33Jaxon2,6210.5%
- 34Maverick2,5580.5%
- 35Cooper2,5420.5%
- 36Daniel2,5180.5%
- 37Aiden2,5040.5%
- 38Colton2,5020.5%
- 39Gabriel2,5020.5%
- 40Thomas2,4700.4%
- 41Cameron2,4610.4%
- 42Nolan2,4580.4%
- 43Andrew2,4440.4%
- 44David2,3660.4%
- 45Isaac2,3340.4%
- 46Ezra2,2780.4%
- 47Matthew2,2340.4%
- 48Anthony2,2160.4%
- 49Landon2,2070.4%
- 50Carson2,1550.4%
- 51Connor2,0850.4%
- 52Weston2,0810.4%
- 53Waylon2,0690.4%
- 54Isaiah2,0610.4%
- 55Caleb2,0030.4%
- 56Braxton2,0020.4%
- 57Hunter2,0010.4%
- 58Everett1,9940.4%
- 59Roman1,9860.4%
- 60Parker1,9790.4%
- 61Jaxson1,9730.4%
- 62Miles1,9690.4%
- 63Luca1,9570.4%
- 64Wesley1,9070.3%
- 65Easton1,9030.3%
- 66Bennett1,8950.3%
- 67Joshua1,8730.3%
- 68Eli1,8710.3%
- 69Josiah1,8520.3%
- 70Christopher1,8410.3%
- 71Robert1,8320.3%
- 72Jameson1,8290.3%
- 73Rowan1,8230.3%
- 74Greyson1,8200.3%
- 75Silas1,8200.3%
- 76Myles1,8140.3%
- 77Dominic1,7500.3%
- 78Jayden1,7220.3%
- 79Elias1,7050.3%
- 80Beau1,6500.3%
- 81Xavier1,6100.3%
- 82Brooks1,6030.3%
- 83Austin1,5910.3%
- 84Bryson1,5830.3%
- 85Ezekiel1,5700.3%
- 86Emmett1,5690.3%
- 87Bentley1,5670.3%
- 88Jace1,5600.3%
- 89Vincent1,5470.3%
- 90Julian1,5410.3%
- 91Dylan1,5400.3%
- 92Sebastian1,5320.3%
- 93Adam1,5120.3%
- 94Ryan1,4950.3%
- 95Declan1,4930.3%
- 96Jordan1,4890.3%
- 97Nathan1,4850.3%
- 98Micah1,4440.3%
- 99Jeremiah1,4240.3%
- 100Sawyer1,4150.3%
Ohio's signature names
Names used at least 2× as often in Ohio as across all states combined, 2016–2025. The multiple compares Ohio's share of listed births with the same share pooled across every state — the closest thing to "how Ohio does it differently" the data can support.
Girls’ names
- Larkin8.7× · 82 recorded
- Neva7.5× · 59 recorded
- Kaylene7.1× · 61 recorded
- Krista5.9× · 55 recorded
- Rosanna5.5× · 54 recorded
- Izzabella5.4× · 51 recorded
- Aminata5.3× · 87 recorded
- Arayah5.1× · 76 recorded
- Malinda5.1× · 76 recorded
- Edna4.8× · 83 recorded
- Braylynn4.7× · 55 recorded
- Laina4.7× · 52 recorded
- Maryann4.6× · 68 recorded
- Raniyah4.5× · 54 recorded
- Kari4.4× · 118 recorded
- Aleigha4.1× · 82 recorded
- Bexley3.8× · 340 recorded
- Hawa3.8× · 102 recorded
- Amyah3.8× · 50 recorded
- Kenzlee3.7× · 64 recorded
- Louella3.7× · 59 recorded
- Rahma3.7× · 57 recorded
- Lillith3.6× · 62 recorded
- Carrie3.6× · 55 recorded
- Iva3.5× · 70 recorded
Boys’ names
- Mouhamed8.9× · 85 recorded
- Mylan8.9× · 76 recorded
- Robbie8.3× · 62 recorded
- Lonnie8× · 111 recorded
- Giovonni7× · 52 recorded
- Myron6.8× · 118 recorded
- Duane6.3× · 59 recorded
- Storm6× · 81 recorded
- Mervin6× · 68 recorded
- Marshawn5.9× · 64 recorded
- Marlin5.8× · 84 recorded
- Kolsen5.7× · 53 recorded
- Abdullahi5.1× · 78 recorded
- Dashawn4.8× · 56 recorded
- Abdirahman4.7× · 88 recorded
- Westen4.7× · 69 recorded
- Deonte4.7× · 53 recorded
- Muhammadali4.5× · 78 recorded
- Mamadou4.4× · 69 recorded
- Maddix4.4× · 59 recorded
- Brexton4.3× · 56 recorded
- Braxtyn4.2× · 87 recorded
- Carsyn4.2× · 61 recorded
- Ayub4.1× · 61 recorded
- Brantlee4× · 112 recorded
All-time favorites, 1910–2025
The most-used names across everything Ohio has recorded since 1910 — a very different list, dominated by the high-birth, low-variety decades of the mid-century.
Girls’ names
- 1Mary201,8902.7%
- 2Patricia86,2941.2%
- 3Linda79,3891.1%
- 4Barbara79,2251.1%
- 5Jennifer75,0851.0%
- 6Elizabeth71,1001.0%
- 7Susan63,0090.8%
- 8Karen60,5390.8%
- 9Betty60,1820.8%
- 10Margaret59,0840.8%
- 11Nancy57,3080.8%
- 12Lisa54,4940.7%
- 13Carol53,0970.7%
- 14Dorothy52,2070.7%
- 15Ruth51,4470.7%
- 16Helen51,1090.7%
- 17Sarah49,7000.7%
- 18Deborah47,4310.6%
- 19Sandra47,0980.6%
- 20Kimberly46,7500.6%
- 21Donna46,3620.6%
- 22Jessica45,3700.6%
- 23Michelle44,1820.6%
- 24Amy43,4200.6%
- 25Rebecca41,8000.6%
- 26Sharon41,1640.6%
- 27Kathleen40,5610.5%
- 28Amanda40,0880.5%
- 29Emily38,9230.5%
- 30Melissa38,9230.5%
- 31Laura38,1840.5%
- 32Angela37,8520.5%
- 33Pamela37,5370.5%
- 34Ashley36,9050.5%
- 35Janet36,5190.5%
- 36Cynthia35,7330.5%
- 37Anna35,7070.5%
- 38Shirley34,0180.5%
- 39Virginia33,9470.5%
- 40Stephanie33,1200.4%
- 41Christine30,6420.4%
- 42Heather30,6210.4%
- 43Julie30,0990.4%
- 44Judith29,7870.4%
- 45Cheryl29,4590.4%
- 46Kelly29,3280.4%
- 47Diane29,0820.4%
- 48Debra28,9900.4%
- 49Brenda28,6210.4%
- 50Emma28,2540.4%
Boys’ names
- 1Robert279,4123.5%
- 2James263,1963.3%
- 3John254,3723.2%
- 4Michael230,1932.9%
- 5William206,4052.6%
- 6David205,1312.6%
- 7Richard156,7772.0%
- 8Thomas132,9581.7%
- 9Charles127,4721.6%
- 10Joseph122,7691.5%
- 11Donald95,6341.2%
- 12Daniel91,9421.1%
- 13Christopher90,7101.1%
- 14Mark85,7991.1%
- 15Matthew83,2291.0%
- 16Paul81,7921.0%
- 17Timothy72,3340.9%
- 18Ronald70,3720.9%
- 19Kenneth69,0410.9%
- 20Brian67,7550.8%
- 21Jeffrey67,3540.8%
- 22Anthony66,1640.8%
- 23Andrew66,0950.8%
- 24Steven65,4170.8%
- 25George62,1050.8%
- 26Edward59,9230.7%
- 27Joshua57,3900.7%
- 28Gary56,8910.7%
- 29Kevin55,3650.7%
- 30Jason53,2590.7%
- 31Scott48,7510.6%
- 32Nicholas47,1340.6%
- 33Ryan46,4130.6%
- 34Jacob46,2470.6%
- 35Larry46,1350.6%
- 36Eric45,5600.6%
- 37Gregory45,4940.6%
- 38Jack43,6710.5%
- 39Stephen42,8010.5%
- 40Raymond39,4830.5%
- 41Frank39,1080.5%
- 42Douglas37,7980.5%
- 43Benjamin36,5650.5%
- 44Dennis35,7060.4%
- 45Brandon35,2990.4%
- 46Justin33,3730.4%
- 47Carl32,7310.4%
- 48Adam32,1930.4%
- 49Samuel31,8520.4%
- 50Patrick31,5350.4%
State data starts in 1910 (national data goes back to 1880) and is censored per state and year: a name needs 5 uses in Ohio 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.