Most Popular Baby Names In Maryland
The 100 most-used girls' and boys' names among recorded births from Maryland, 2016–2025 — 472,151 applications in that window. Below them: the names Maryland uses far more than the rest of the country.
Girls’ names
- 1Olivia2,6521.2%
- 2Ava2,4371.1%
- 3Emma2,3331.1%
- 4Charlotte2,3121.0%
- 5Sophia2,2761.0%
- 6Mia1,9390.9%
- 7Isabella1,8680.8%
- 8Amelia1,7120.8%
- 9Abigail1,4960.7%
- 10Harper1,4910.7%
- 11Madison1,4710.7%
- 12Elizabeth1,4400.7%
- 13Evelyn1,4330.6%
- 14Zoe1,4020.6%
- 15Emily1,2850.6%
- 16Grace1,2820.6%
- 17Genesis1,2730.6%
- 18Sofia1,2620.6%
- 19Chloe1,1950.5%
- 20Scarlett1,1400.5%
- 21Layla1,1320.5%
- 22Riley1,1010.5%
- 23Avery1,0670.5%
- 24Eliana1,0660.5%
- 25Naomi1,0610.5%
- 26Nora1,0550.5%
- 27Eleanor1,0510.5%
- 28Ella1,0430.5%
- 29Aria1,0370.5%
- 30Lily1,0270.5%
- 31Luna9900.4%
- 32Skylar9800.4%
- 33Camila9780.4%
- 34Hannah9730.4%
- 35Zoey9310.4%
- 36Penelope9110.4%
- 37Violet8870.4%
- 38Victoria8820.4%
- 39Gianna8790.4%
- 40Lillian8790.4%
- 41Leah8680.4%
- 42Nova8580.4%
- 43Aurora8340.4%
- 44Natalie8340.4%
- 45Lucy8240.4%
- 46Savannah8200.4%
- 47Hazel8110.4%
- 48Mila7990.4%
- 49Maya7980.4%
- 50Aubrey7830.4%
- 51Ellie7510.3%
- 52Allison7400.3%
- 53Madelyn7160.3%
- 54Ariana7120.3%
- 55Stella7070.3%
- 56Claire7040.3%
- 57Addison6990.3%
- 58Autumn6990.3%
- 59Caroline6910.3%
- 60Hailey6890.3%
- 61Isla6870.3%
- 62Josephine6640.3%
- 63Ashley6560.3%
- 64Alice6360.3%
- 65Kennedy6270.3%
- 66Bella6260.3%
- 67Gabriella6250.3%
- 68Anna6220.3%
- 69Sarah6210.3%
- 70Audrey6180.3%
- 71Brielle6120.3%
- 72Aaliyah5990.3%
- 73Kinsley5980.3%
- 74Emilia5960.3%
- 75Samantha5940.3%
- 76Mackenzie5910.3%
- 77Quinn5850.3%
- 78Brooklyn5830.3%
- 79Sophie5820.3%
- 80Sadie5780.3%
- 81Willow5760.3%
- 82Cora5730.3%
- 83Elena5680.3%
- 84Brianna5630.3%
- 85Madeline5540.3%
- 86Ivy5380.2%
- 87Valentina5310.2%
- 88Peyton5230.2%
- 89Eva5220.2%
- 90Jade5150.2%
- 91Reagan5120.2%
- 92Leilani4970.2%
- 93Serenity4860.2%
- 94Clara4850.2%
- 95Adeline4830.2%
- 96Zuri4830.2%
- 97Katherine4650.2%
- 98Alexandra4630.2%
- 99Amy4570.2%
- 100Melanie4560.2%
Boys’ names
- 1Liam3,9951.6%
- 2Noah3,3861.3%
- 3James2,4511.0%
- 4Lucas2,3160.9%
- 5Ethan2,1740.9%
- 6William2,1380.9%
- 7Dylan2,1230.8%
- 8Benjamin2,0350.8%
- 9Oliver2,0090.8%
- 10Jacob1,9680.8%
- 11Michael1,9640.8%
- 12Daniel1,9490.8%
- 13Mason1,8760.7%
- 14Logan1,8430.7%
- 15Elijah1,8390.7%
- 16Henry1,7800.7%
- 17David1,7120.7%
- 18Alexander1,6640.7%
- 19Matthew1,6440.7%
- 20Joseph1,6070.6%
- 21Aiden1,6010.6%
- 22John1,5810.6%
- 23Caleb1,5690.6%
- 24Jayden1,5650.6%
- 25Theodore1,5600.6%
- 26Jackson1,5400.6%
- 27Owen1,5300.6%
- 28Joshua1,5220.6%
- 29Samuel1,4990.6%
- 30Nathan1,4330.6%
- 31Isaac1,4080.6%
- 32Carter1,3980.6%
- 33Jack1,3890.6%
- 34Gabriel1,3670.5%
- 35Levi1,3380.5%
- 36Mateo1,3130.5%
- 37Christopher1,3120.5%
- 38Luke1,3110.5%
- 39Anthony1,2780.5%
- 40Wyatt1,2720.5%
- 41Thomas1,2200.5%
- 42Ryan1,1940.5%
- 43Asher1,1730.5%
- 44Grayson1,1660.5%
- 45Sebastian1,1610.5%
- 46Charles1,1560.5%
- 47Andrew1,1480.5%
- 48Cameron1,1140.4%
- 49Leo1,0950.4%
- 50Josiah1,0670.4%
- 51Isaiah1,0610.4%
- 52Amir1,0190.4%
- 53Ezra1,0160.4%
- 54Jonathan1,0160.4%
- 55Aaron9990.4%
- 56Christian9970.4%
- 57Jaxon9680.4%
- 58Julian9650.4%
- 59Landon9600.4%
- 60Austin9510.4%
- 61Chase9360.4%
- 62Colton9340.4%
- 63Connor9330.4%
- 64Miles9110.4%
- 65Nolan9070.4%
- 66Ian9040.4%
- 67Elias8970.4%
- 68Hudson8710.3%
- 69Jeremiah8520.3%
- 70Luca8490.3%
- 71Axel8460.3%
- 72Eli8420.3%
- 73Thiago8290.3%
- 74Angel8140.3%
- 75Wesley8140.3%
- 76Micah8120.3%
- 77Brooks8060.3%
- 78Robert7930.3%
- 79Adrian7910.3%
- 80Lincoln7910.3%
- 81Bryson7840.3%
- 82Jace7820.3%
- 83Jason7730.3%
- 84Hunter7720.3%
- 85Camden7620.3%
- 86Maverick7500.3%
- 87Nicholas7340.3%
- 88Roman7340.3%
- 89Jordan7290.3%
- 90Kai7290.3%
- 91Kayden7250.3%
- 92Cooper7180.3%
- 93Xavier7010.3%
- 94Brayden6890.3%
- 95Carson6790.3%
- 96Dominic6790.3%
- 97Zion6600.3%
- 98Cole6530.3%
- 99Parker6370.3%
- 100Evan6250.2%
Maryland's signature names
Names used at least 2× as often in Maryland as across all states combined, 2016–2025. The multiple compares Maryland's share of listed births with the same share pooled across every state — the closest thing to "how Maryland does it differently" the data can support.
Girls’ names
- Amen10.3× · 51 recorded
- Stori6.5× · 64 recorded
- Nuri5.2× · 53 recorded
- Cori4.8× · 52 recorded
- Nori4.7× · 131 recorded
- Ahuva4.7× · 57 recorded
- Camden4.6× · 62 recorded
- Keren4.6× · 62 recorded
- Angely4.6× · 54 recorded
- Tori4.5× · 160 recorded
- Kori4.1× · 224 recorded
- Harlem4× · 58 recorded
- Angie3.9× · 245 recorded
- Milan3.8× · 233 recorded
- Nathaly3.7× · 107 recorded
- Khari3.6× · 61 recorded
- Devyn3.5× · 92 recorded
- Shoshana3.5× · 57 recorded
- Yael3.5× · 56 recorded
- Sanaa3.5× · 53 recorded
- Emely3.4× · 353 recorded
- Blessing3.3× · 100 recorded
- Dara3.1× · 59 recorded
- Denver3× · 127 recorded
- Zora3× · 117 recorded
Boys’ names
- Davon5.3× · 68 recorded
- Abdul5× · 59 recorded
- Jefferson4.8× · 237 recorded
- Daylen4.6× · 75 recorded
- Elmer4.2× · 75 recorded
- Damari3.9× · 145 recorded
- Antoine3.8× · 63 recorded
- Zakari3.6× · 71 recorded
- Zymir3.6× · 60 recorded
- Sevyn3.5× · 99 recorded
- Tahj3.5× · 59 recorded
- Nasir3.3× · 419 recorded
- Dakari3.3× · 128 recorded
- Denim3.3× · 67 recorded
- Jabari3.2× · 97 recorded
- Dereck3.2× · 86 recorded
- Syncere3.2× · 71 recorded
- Kenzo3.1× · 178 recorded
- Ahmir3.1× · 92 recorded
- True3.1× · 55 recorded
- Genesis2.9× · 68 recorded
- Nazir2.9× · 68 recorded
- Raheem2.9× · 56 recorded
- Tyrone2.9× · 53 recorded
- Kamari2.8× · 310 recorded
All-time favorites, 1910–2025
The most-used names across everything Maryland has recorded since 1910 — a very different list, dominated by the high-birth, low-variety decades of the mid-century.
Girls’ names
- 1Mary64,1852.7%
- 2Elizabeth27,4231.1%
- 3Patricia26,6831.1%
- 4Jennifer24,1351.0%
- 5Margaret24,1111.0%
- 6Barbara22,6330.9%
- 7Linda21,4490.9%
- 8Sarah18,4540.8%
- 9Dorothy17,9130.7%
- 10Karen17,1350.7%
- 11Deborah17,0300.7%
- 12Jessica16,8010.7%
- 13Susan16,7930.7%
- 14Lisa16,3630.7%
- 15Kimberly16,2340.7%
- 16Catherine15,4160.6%
- 17Emily15,2860.6%
- 18Ashley15,1270.6%
- 19Anna14,5820.6%
- 20Nancy14,5270.6%
- 21Helen14,4010.6%
- 22Sharon14,2430.6%
- 23Donna13,7420.6%
- 24Michelle13,2350.5%
- 25Betty13,2200.5%
- 26Katherine12,7610.5%
- 27Ruth12,6400.5%
- 28Sandra12,3980.5%
- 29Amanda12,3870.5%
- 30Laura12,3670.5%
- 31Stephanie12,2530.5%
- 32Rebecca12,1070.5%
- 33Shirley11,5880.5%
- 34Melissa11,2840.5%
- 35Kathleen11,0280.5%
- 36Amy10,9150.5%
- 37Angela10,9050.5%
- 38Carol10,8870.5%
- 39Emma10,8170.4%
- 40Nicole10,4910.4%
- 41Cynthia10,4730.4%
- 42Rachel10,4720.4%
- 43Lauren10,2670.4%
- 44Samantha10,0610.4%
- 45Christina9,9200.4%
- 46Kelly9,8590.4%
- 47Evelyn9,8350.4%
- 48Brenda9,7100.4%
- 49Doris9,6630.4%
- 50Christine9,3840.4%
Boys’ names
- 1John88,3173.3%
- 2James84,6333.2%
- 3William82,2413.1%
- 4Michael78,3863.0%
- 5Robert76,3892.9%
- 6David58,7812.2%
- 7Charles54,6832.1%
- 8Joseph50,1451.9%
- 9Thomas40,3691.5%
- 10Richard38,8801.5%
- 11Christopher36,5111.4%
- 12Daniel30,4171.2%
- 13Matthew29,1161.1%
- 14George28,1331.1%
- 15Kevin24,0330.9%
- 16Anthony23,3250.9%
- 17Edward23,2110.9%
- 18Andrew23,0190.9%
- 19Brian22,6830.9%
- 20Donald22,0650.8%
- 21Mark22,0200.8%
- 22Paul21,9760.8%
- 23Joshua21,0970.8%
- 24Steven20,4980.8%
- 25Kenneth19,9480.8%
- 26Timothy19,2080.7%
- 27Ronald18,9450.7%
- 28Ryan18,3900.7%
- 29Jason16,7390.6%
- 30Jeffrey16,6690.6%
- 31Nicholas16,1020.6%
- 32Stephen16,1020.6%
- 33Eric16,0630.6%
- 34Benjamin14,9580.6%
- 35Samuel14,7490.6%
- 36Jacob14,7240.6%
- 37Brandon13,9090.5%
- 38Jonathan13,8610.5%
- 39Justin13,7970.5%
- 40Gregory13,5590.5%
- 41Gary13,4310.5%
- 42Alexander13,2260.5%
- 43Raymond12,6130.5%
- 44Patrick12,0740.5%
- 45Henry10,7530.4%
- 46Frank10,7130.4%
- 47Zachary10,5420.4%
- 48Scott10,4640.4%
- 49Walter10,3210.4%
- 50Tyler10,2080.4%
State data starts in 1910 (national data goes back to 1880) and is censored per state and year: a name needs 5 uses in Maryland 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.