Most Popular Baby Names In New Mexico
The 100 most-used girls' and boys' names among recorded births from New Mexico, 2016–2025 — 125,007 applications in that window. Below them: the names New Mexico uses far more than the rest of the country.
Girls’ names
- 1Mia8591.6%
- 2Sophia8401.6%
- 3Olivia8041.5%
- 4Isabella7471.4%
- 5Emma7271.4%
- 6Amelia5751.1%
- 7Ava5611.1%
- 8Camila5581.1%
- 9Aria5361.0%
- 10Sofia5341.0%
- 11Luna4570.9%
- 12Aurora4330.8%
- 13Emily4180.8%
- 14Evelyn4180.8%
- 15Charlotte4130.8%
- 16Abigail4120.8%
- 17Layla3940.7%
- 18Mila3750.7%
- 19Elizabeth3460.7%
- 20Scarlett3420.6%
- 21Aaliyah3410.6%
- 22Eliana3290.6%
- 23Penelope3170.6%
- 24Madison3150.6%
- 25Elena3120.6%
- 26Avery3020.6%
- 27Gianna2970.6%
- 28Leilani2950.6%
- 29Zoey2930.6%
- 30Natalia2890.5%
- 31Lily2880.5%
- 32Nevaeh2850.5%
- 33Ximena2840.5%
- 34Riley2820.5%
- 35Violet2780.5%
- 36Victoria2750.5%
- 37Serenity2730.5%
- 38Hazel2720.5%
- 39Genesis2590.5%
- 40Harper2530.5%
- 41Liliana2510.5%
- 42Athena2490.5%
- 43Natalie2490.5%
- 44Autumn2470.5%
- 45Ellie2460.5%
- 46Paisley2420.5%
- 47Delilah2410.5%
- 48Ella2400.5%
- 49Zoe2370.4%
- 50Emilia2340.4%
- 51Grace2340.4%
- 52Leah2320.4%
- 53Amaya2270.4%
- 54Hailey2270.4%
- 55Ariana2230.4%
- 56Allison2210.4%
- 57Brooklyn2190.4%
- 58Nova2160.4%
- 59Gabriella2100.4%
- 60Chloe2070.4%
- 61Eleanor2020.4%
- 62Maya2010.4%
- 63Arianna1990.4%
- 64Everly1950.4%
- 65Amara1940.4%
- 66Iris1930.4%
- 67Aubrey1890.4%
- 68Valentina1820.3%
- 69Ivy1780.3%
- 70Ariella1770.3%
- 71Naomi1770.3%
- 72Jade1750.3%
- 73Bella1700.3%
- 74Addison1690.3%
- 75Aspen1690.3%
- 76Samantha1670.3%
- 77Adalynn1650.3%
- 78Faith1640.3%
- 79Hannah1630.3%
- 80Anastasia1620.3%
- 81Arya1600.3%
- 82Kaylee1600.3%
- 83Melanie1590.3%
- 84Catalina1560.3%
- 85Isla1560.3%
- 86Maria1550.3%
- 87Ruby1530.3%
- 88Lillian1500.3%
- 89Melody1500.3%
- 90Alice1480.3%
- 91Daleyza1480.3%
- 92Lucia1470.3%
- 93Elliana1450.3%
- 94Jasmine1450.3%
- 95Adeline1430.3%
- 96Selena1430.3%
- 97Willow1420.3%
- 98Andrea1410.3%
- 99Ariel1410.3%
- 100Audrey1400.3%
Boys’ names
- 1Liam1,1441.6%
- 2Noah1,1231.6%
- 3Mateo9411.3%
- 4Elijah9001.3%
- 5Ezekiel8041.1%
- 6Santiago7711.1%
- 7Sebastian7121.0%
- 8Oliver6120.9%
- 9Ezra5980.8%
- 10Daniel5970.8%
- 11Josiah5870.8%
- 12Michael5840.8%
- 13Lucas5800.8%
- 14Gabriel5590.8%
- 15James5580.8%
- 16Levi5580.8%
- 17Julian5570.8%
- 18Alexander5560.8%
- 19Benjamin5480.8%
- 20Elias5450.8%
- 21Logan5400.8%
- 22Aiden5300.7%
- 23Mason5040.7%
- 24Samuel5030.7%
- 25Joseph4900.7%
- 26Ethan4830.7%
- 27Jayden4750.7%
- 28Jacob4730.7%
- 29Isaiah4670.6%
- 30David4640.6%
- 31Jeremiah4570.6%
- 32Anthony4540.6%
- 33Luke4300.6%
- 34Isaac4280.6%
- 35Matthew4280.6%
- 36Christopher4170.6%
- 37Adrian4160.6%
- 38William4120.6%
- 39Angel4100.6%
- 40Joshua4030.6%
- 41Xavier3920.5%
- 42Dylan3720.5%
- 43Jaxon3720.5%
- 44Eli3680.5%
- 45Damian3640.5%
- 46Jose3640.5%
- 47Caleb3490.5%
- 48Wyatt3430.5%
- 49Asher3420.5%
- 50Diego3410.5%
- 51Jackson3390.5%
- 52Andrew3320.5%
- 53Luis3320.5%
- 54Adriel3290.5%
- 55Henry3260.5%
- 56Emiliano3230.4%
- 57Grayson3220.4%
- 58Ian3220.4%
- 59Theodore3180.4%
- 60Christian3140.4%
- 61Leo3140.4%
- 62Axel3000.4%
- 63Aaron2990.4%
- 64Dominic2910.4%
- 65Jordan2890.4%
- 66Andres2850.4%
- 67Zayden2840.4%
- 68Hunter2810.4%
- 69Carlos2800.4%
- 70John2780.4%
- 71Kai2730.4%
- 72Owen2710.4%
- 73Nathan2660.4%
- 74Roman2660.4%
- 75Gael2650.4%
- 76Robert2630.4%
- 77Lincoln2590.4%
- 78Thomas2590.4%
- 79Jesus2580.4%
- 80Jonathan2580.4%
- 81Antonio2490.3%
- 82Carter2450.3%
- 83Miguel2420.3%
- 84Ryan2410.3%
- 85Giovanni2390.3%
- 86Leonardo2280.3%
- 87Alejandro2260.3%
- 88Emilio2260.3%
- 89Landon2250.3%
- 90Luca2230.3%
- 91Silas2220.3%
- 92Jack2210.3%
- 93Nathaniel2180.3%
- 94Juan2150.3%
- 95Lorenzo2150.3%
- 96Maverick2140.3%
- 97Adam2100.3%
- 98Austin2080.3%
- 99Ivan2060.3%
- 100Colton2010.3%
New Mexico's signature names
Names used at least 2× as often in New Mexico as across all states combined, 2016–2025. The multiple compares New Mexico's share of listed births with the same share pooled across every state — the closest thing to "how New Mexico does it differently" the data can support.
Girls’ names
- Zia29.4× · 124 recorded
- Esperanza8.5× · 65 recorded
- Estrella8× · 108 recorded
- Amaris6.9× · 73 recorded
- Marisol6.4× · 66 recorded
- Araceli5.8× · 52 recorded
- Xiomara5.7× · 107 recorded
- Avianna4.9× · 124 recorded
- Azariah4.7× · 66 recorded
- Daleyza4.3× · 148 recorded
- Yareli4.2× · 54 recorded
- Aviana4.1× · 83 recorded
- Adelina4× · 106 recorded
- Anahi3.9× · 74 recorded
- Aspen3.5× · 169 recorded
- Ximena3.4× · 284 recorded
- Lilliana3.4× · 121 recorded
- Cataleya3.4× · 118 recorded
- Azalea3.4× · 92 recorded
- Amaya3.2× · 227 recorded
- Esmeralda3.2× · 100 recorded
- Ariella3.1× · 177 recorded
- Amari3.1× · 109 recorded
- Katalina3.1× · 63 recorded
- Aitana3× · 105 recorded
Boys’ names
- Estevan31.5× · 74 recorded
- Santos7.3× · 71 recorded
- Azariah6.1× · 110 recorded
- Uriah5.9× · 109 recorded
- Luciano5.2× · 179 recorded
- Vicente4.7× · 72 recorded
- Orlando4.3× · 58 recorded
- Marcos4.2× · 123 recorded
- Atreus4.1× · 61 recorded
- Eliseo4× · 56 recorded
- Hezekiah3.9× · 85 recorded
- Nehemiah3.8× · 138 recorded
- Armando3.8× · 92 recorded
- Izaiah3.8× · 84 recorded
- Zachariah3.7× · 96 recorded
- Dariel3.6× · 98 recorded
- Mauricio3.6× · 67 recorded
- Andres3.5× · 285 recorded
- Joaquin3.5× · 160 recorded
- Ezekiel3.4× · 804 recorded
- Enrique3.4× · 86 recorded
- Manuel3.3× · 167 recorded
- Aziel3.3× · 122 recorded
- Jaziel3.3× · 114 recorded
- Matthias3.3× · 104 recorded
All-time favorites, 1910–2025
The most-used names across everything New Mexico has recorded since 1910 — a very different list, dominated by the high-birth, low-variety decades of the mid-century.
Girls’ names
- 1Mary23,8422.9%
- 2Maria8,8831.1%
- 3Elizabeth7,9211.0%
- 4Patricia7,3100.9%
- 5Jennifer7,2410.9%
- 6Jessica6,4910.8%
- 7Linda6,3730.8%
- 8Margaret5,5300.7%
- 9Barbara5,5170.7%
- 10Amanda5,5090.7%
- 11Michelle5,3920.7%
- 12Sarah5,3370.6%
- 13Melissa4,9180.6%
- 14Rebecca4,9170.6%
- 15Ashley4,8510.6%
- 16Stephanie4,7420.6%
- 17Victoria4,5180.5%
- 18Sandra4,5040.5%
- 19Betty4,4010.5%
- 20Lisa4,3880.5%
- 21Gloria4,2780.5%
- 22Karen4,1280.5%
- 23Frances4,0840.5%
- 24Anna4,0710.5%
- 25Cynthia4,0630.5%
- 26Helen4,0500.5%
- 27Emily3,9700.5%
- 28Kimberly3,9660.5%
- 29Laura3,9280.5%
- 30Samantha3,9030.5%
- 31Virginia3,8900.5%
- 32Angela3,8240.5%
- 33Emma3,8180.5%
- 34Rose3,7260.4%
- 35Susan3,7240.4%
- 36Andrea3,6910.4%
- 37Nancy3,6370.4%
- 38Donna3,4820.4%
- 39Theresa3,3750.4%
- 40Christina3,3190.4%
- 41Dorothy3,2970.4%
- 42Martha3,2780.4%
- 43Nicole3,2460.4%
- 44Alice3,2440.4%
- 45Rachel3,2410.4%
- 46Deborah3,1480.4%
- 47Olivia3,1030.4%
- 48Sharon3,0740.4%
- 49Amy3,0640.4%
- 50Brenda3,0540.4%
Boys’ names
- 1Michael22,7052.3%
- 2Robert21,1132.2%
- 3David20,5162.1%
- 4John19,3312.0%
- 5James18,9322.0%
- 6Richard12,9711.3%
- 7Joseph12,8131.3%
- 8Daniel12,7711.3%
- 9Jose12,3181.3%
- 10Christopher12,2251.3%
- 11William12,1391.3%
- 12Joe10,3331.1%
- 13Anthony9,7731.0%
- 14Matthew9,2571.0%
- 15Joshua8,6720.9%
- 16Charles8,3160.9%
- 17Thomas7,9430.8%
- 18Paul7,5930.8%
- 19Manuel7,5260.8%
- 20Andrew7,2890.8%
- 21Steven6,9630.7%
- 22Mark6,6980.7%
- 23Jacob6,5600.7%
- 24Juan6,3820.7%
- 25Frank6,3720.7%
- 26George5,8470.6%
- 27Raymond5,7980.6%
- 28Gabriel5,6780.6%
- 29Jason5,5980.6%
- 30Eric5,4790.6%
- 31Kenneth5,2010.5%
- 32Carlos5,1990.5%
- 33Edward5,1770.5%
- 34Ryan5,1290.5%
- 35Kevin4,9910.5%
- 36Johnny4,9850.5%
- 37Samuel4,9400.5%
- 38Jonathan4,8970.5%
- 39Patrick4,8570.5%
- 40Brian4,8300.5%
- 41Antonio4,7170.5%
- 42Aaron4,6820.5%
- 43Jerry4,6790.5%
- 44Brandon4,6770.5%
- 45Justin4,6500.5%
- 46Benjamin4,6060.5%
- 47Jesus4,6030.5%
- 48Larry4,5980.5%
- 49Donald4,3580.4%
- 50Timothy4,2640.4%
State data starts in 1910 (national data goes back to 1880) and is censored per state and year: a name needs 5 uses in New Mexico 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.