How popular is the baby name Nevada in the United States right now? How popular was it historically? Find out using the graph below! Plus, check out all the blog posts that mention the name Nevada.

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Popularity of the Baby Name Nevada


Posts that Mention the Name Nevada

The Top Baby Name Rises, 1881 to Today

top baby name rises by year

Many years ago, I published a list of the top debut baby names. A few years after that, I posted a list of the top one-hit wonder baby names.

So today let’s check out another fun set of “top” names: the top rises. The names below are those that increased the most in usage, percentage-wise, from one year to the next according to the SSA data.

Here’s the format: girl names are on the left, boy names are on the right, and the percentages represent single-year jumps in usage. (For example, from 1880 to 1881, usage of the girl name Isa grew 240% and usage of the boy name Noble grew 333%.)

  • 1881: Isa, 240%; Noble, 333%
  • 1882: Clementine, 300%; Clarance, 300%
  • 1883: Malissa, 243%; Alf, 150%
  • 1884: Belva, 1220%; Grover, 532%
  • 1885: Phebe, 220%; Bryant, 200%
  • 1886: Felicia, 180%; Thornton, 240%
  • 1887: Ossie, 240%; Aubrey, 240%
  • 1888: Bennie, 250%; Thurman, 414%
  • 1889: Diana, 233%; Grady, 267%
  • 1890: Easter, 238%; Isaiah, 215%
  • 1891: Lutie, 200%; Colonel, 217%
  • 1892: Lollie, 271%; Pierce, 340%
  • 1893: Annabell, 240%; Lindsay, 320%
  • 1894: Versie, 320%; Alvie, 233%
  • 1895: Glenn, 283%; Alma, 220%
  • 1896: Vernice, 217%; Hobart, 744%
  • 1897: Sigrid, 200%; Roswell, 183%
  • 1898: Manila, 1386%; Dewey, 606%
  • 1899: Tula, 280%; Rogers, 220%
  • 1900: Rosia, 480%; Wilber, 417%
  • 1901: Dellie, 180%; Kermit, 183%
  • 1902: Lolita, 420%; Judge, 260%
  • 1903: Rafaela, 280%; Jordan, 250%
  • 1904: Amber, 314%; Adelbert, 260%
  • 1905: Orma, 300%; Armand, 222%
  • 1906: Ena, 456%; Sheldon, 240%
  • 1907: Lota & Tula, 240%; Quincy, 183%
  • 1908: Bernetta & Nila, 260%; Taft, 288%
  • 1909: Laverna & Nevada, 267%; Toney, 300%
  • 1910: Cleopatra, 240%; Arturo & Sammy, 283%
  • 1911: Maryellen, 280%; Vincenzo & Wyman, 320%
  • 1912: Marina, 420%; Woodrow, 1423%
  • 1913: Carroll, 263%; Rosendo, 320%
  • 1914: Lucyle, 280%; Irvine, 333%
  • 1915: Zudora, 460%; Charlton, 320%
  • 1916: Aldena, 291%; Tatsuo, 850%
  • 1917: Liberty, 617%; Masami, 338%
  • 1918: Kazuko, 320%; Quentin, 567%
  • 1919: Verbie, 300%; Belvin, 360%
  • 1920: Marcene, 386%; Harding, 718%
  • 1921: Elwanda, 1860%; Gareth, 560%
  • 1922: Carley, 320%; Colie, 340%
  • 1923: Eris, 1313%; Coolidge, 820%
  • 1924: Janeth, 517%; Phyllis, 260%
  • 1925: Murlene & Normalee, 260%; Estell & Unknown, 214%
  • 1926: Ileana, 633%; Jarrell & Lenoard, 240%
  • 1927: Charmaine, 825%; Lindbergh, 867%
  • 1928: Jeannine, 1147%; Hoover, 522%
  • 1929: Dorla, 800%; Davey, 889%
  • 1930: Arlayne, 317%; Derl, 1060%
  • 1931: Marlene, 745%; Colbert, 280%
  • 1932: Harlene, 270%; Delano, 1057%
  • 1933: Sharleen, 425%; Delano, 289%
  • 1934: Adriana, 283%; Kelvin, 360%
  • 1935: Norita, 1171%; Darwyn, 458%
  • 1936: Shelba, 2667%; Lonzie, 320%
  • 1937: Deanna, 2009%; Tyrone, 788%

The SSA data isn’t perfect, but it does get a lot better in the late 1930s, because “many people born before 1937 never applied for a Social Security card, so their names are not included in our data” (SSA). Now, back to the list…

  • 1938: Danielle, 878%; Dion, 355%
  • 1939: Brenda, 308%; Hall, 280%
  • 1940: Scarlett, 743%; Clemmie, 257%
  • 1941: Jerilyn, 1250%; Rulon, 250%
  • 1942: Michal, 1520%; Macarthur, 2740%
  • 1943: Shaaron, 456%; Suzanne, 240%
  • 1944: Dorinda, 568%; Kennedy, 280%
  • 1945: Lauren, 709%; Dorian, 220%
  • 1946: Jacalyn, 740%; Cornel, 533%
  • 1947: Jolinda, 388%; Brock, 364%
  • 1948: Sharman, 275%; Kevan, 260%
  • 1949: Lorry, 360%; Hanson, 240%
  • 1950: Vallorie, 717%; Brion, 400%
  • 1951: Krystal, 588%; Denise, 350%
  • 1952: Pandora, 1100%; Corby & Wilhelm, 240%
  • 1953: Angelique, 1157%; Shane, 392%
  • 1954: Sheree, 756%; Dain, 360%
  • 1955: Sabrina, 711%; Davy, 509%
  • 1956: Venetia, 543%; Cheyenne, 680%
  • 1957: Tammy, 1591%; Tammy, 467%
  • 1958: Keely, 1100%; Bret, 680%
  • 1959: Torri, 411%; Efrem, 963%
  • 1960: Lisha, 1096%; Stephon, 1200%
  • 1961: Marisol, 481%; Parrish, 1460%
  • 1962: Penne, 447%; Chance, 350%
  • 1963: Tamiko, 1440%; Tal, 617%
  • 1964: Deneen, 7191%; Temple, 420%
  • 1965: Fontella, 880%; Branden, 340%
  • 1966: Tabatha, 9900%; Heath, 1070%
  • 1967: Anisa, 1600%; Garrison, 320%
  • 1968: Coretta, 2485%; Dustin, 778%
  • 1969: Lalena, 640%; Jeromy, 514%
  • 1970: Shiloh, 540%; Jermaine, 3320%
  • 1971: Ashli, 1900%; Jermaine, 494%
  • 1972: Catina, 9033%; Demond, 3920%
  • 1973: Cicely, 1827%; Caine, 780%
  • 1974: Nakia, 16100%; Rashad, 1100%
  • 1975: Rasheda, 988%; Jamaal, 688%
  • 1976: Rhiannon, 1713%; Seneca, 1429%
  • 1977: Shawntae, 686%; Lavar, 5480%
  • 1978: Aja, 3407%; Dequan, 988%
  • 1979: Renada, 780%; Yoel, 525%
  • 1980: Genese, 1920%; Rayshaun, 440%
  • 1981: Krystle, 1623%; Cavin, 833%
  • 1982: Jere, 1000%; Colt, 1620%
  • 1983: Ciji, 2950%; Remington, 657%
  • 1984: Santana, 3467%; Ryne, 424%
  • 1985: Kayleigh, 2914%; Jaymes, 769%
  • 1986: Kyrie, 3180%; Orry, 789%
  • 1987: Janay, 1168%; Jareth, 400%
  • 1988: Whitley, 916%; Nico, 860%
  • 1989: Audriana, 3467%; Alexande, 4917%
  • 1990: Alannah, 1583%; Tevin, 4569%
  • 1991: Tanairi, 820%; Devante, 1356%
  • 1992: Darian, 703%; Jalen, 3980%
  • 1993: Coraima, 4320%; Savon, 2457%
  • 1994: Aaliyah, 6495%; Romario, 1940%
  • 1995: Iridian, 1845%; Tristin, 747%
  • 1996: Alanis, 1047%; Json, 880%
  • 1997: Yulisa, 2729%, Ennis, 620%
  • 1998: Jazsmin, 960%; Denilson, 900%
  • 1999: Tionne, 1100%; Sincere, 647%
  • 2000: Litzy, 1189%; Elian, 2413%
  • 2001: Nevaeh, 1111%; Jaheim, 5440%
  • 2002: Lashanti, 2060%; Omarion, 8260%
  • 2003: Azeneth, 1913%; Andon, 2200%
  • 2004: Betzaida, 1233%; Jakwon, 1260%
  • 2005: Mikalah, 1906%; Talan, 2130%
  • 2006: Bethzy; 2636%; Dereon, 1217%
  • 2007: Jaslene, 9920%; Leonidas & Renner, 700%
  • 2008: Dayami, 3464%; Barack, 940%
  • 2009: Baya, 1020%; Dhani, 520%
  • 2010: Collins, 1557%; Bentlee, 733%
  • 2011: Thaily, 1400%; Neymar, 900%
  • 2012: Cataleya, 2182%; Long, 740%
  • 2013: Daleyza, 1055%; Jaiceon, 1057%
  • 2014: Aranza, 1297%; Jameis, 720%
  • 2015: Vail, 700%; Rhydian, 667%
  • 2016: Kehlani, 571%; Kylo, 580%
  • 2017: Westlynn, 600%; Oseias, 1080%

(Did you catch all the doubles? Tula, Delano, Tammy, Jermaine, and Davey/Davy.)

I’ve already written about some of the names above (click the links to see the posts) and I plan to write about many of the others. In the meanwhile, though, feel free to beat me to it! Leave a comment and let us know what popularized Dorla in 1929, or Lauren in 1945, or Dustin in 1968, or Kayleigh in 1985, or Talan in 2005…

Baby Named After Dodge Pickup Truck

In late January, Nika Guilbault of British Columbia, Canada, gave birth to twins — a girl and a boy — in a Dodge pickup truck while she and her husband Chris were driving to the hospital.

The baby girl was born mid-drive, and the baby boy was born in the hospital’s parking lot.

The girl was named Nevada Sierra. The boy got the first name Henry or Hunter (sources disagree) and the middle name Dodge, a tribute to his unusual birthplace.

(He’s the second baby boy I know of to get the middle name Dodge after being born in a Dodge pickup truck.)

Did you know that dozens of U.S. baby boys are named Dodge every year? I wonder how many of them have parents who own Dodge vehicles.

Source: Pickup delivers twins named Dodge and Sierra, to hospital in B.C. (discovered via Appellation Mountain)

Unique Names Correlated to Criminal Behavior

Toronto Star columnist Vinay Menon begs: “Please don’t give your baby a weird name.”

In his most recent article, “My name is iPod, but call me Felon,” Menon reveals that he greatly disliked his first name as a teenager. (He wished he’d been a Steve.)

More importantly, though, he cites an intriguing recent study, “First Names and Crime: Does Unpopularity Spell Trouble?” (pdf):

Long story short: David E. Kalist and Daniel Y. Lee compiled a database of more than 15,000 males in an unnamed American state to see if uncommon names could be correlated with criminal behaviour.

Short story shorter: They could.

This means if you are sent to prison in the U.S., your cellmate is more likely to be a Nevada or Thurmond than an Andrew or Michael. Great. So now a peculiar name could turn your baby into a juvenile delinquent.

“Mr. Jones? This is the police. We’ve arrested your son for vandalism. He was caught spray-painting, `I don’t want to be a Gandalf!’ on windshields.”

Some food for thought, eh?

Other studies have correlated unique names with undesirable outcomes such as low test scores, low educational attainment and low income.

P.S. An article in The Globe and Mail summarizes the study pretty well (if you don’t want to open that pdf file).