How popular is the baby name Nevaeh 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 Nevaeh.

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Popularity of the Baby Name Nevaeh


Posts that Mention the Name Nevaeh

Baby Names & Numerology: Number 1

baby names that add up to 1, numerologically

Here are hundreds of baby names that have a numerological value of “1.”

I’ve sub-categorized them by overall totals, because I think that some of the intermediate numbers could have special significance to people as well.

Within each group, I’ve listed up to ten of the most popular “1” names per gender (according to the current U.S. rankings).

Beneath all the names are some ways you could interpret the numerological value of “1,” including descriptions from two different numerological systems.

1 via 10

The following baby names add up to 10, which reduces to one (1+0=1).

  • “10” girl names: Eda, Dea, Ebba, Ade
  • “10” boy names: Ade

1 via 19

The following baby names add up to 19, which reduces to one (1+9=10; 1+0=1).

  • “19” girl names: Mae, Ema, Abbie, Alea, Acadia, Aela, Mea, Jace, Aide, Gabi
  • “19” boy names: Adam, Jace, Dan, Jed, Fahd, Bob, Ra, Beka, Amad, Addai

1 via 28

The following baby names add up to 28, which reduces to one (2+8=10; 1+0=1).

  • “28” girl names: Eva, Eden, Lana, Ari, Nala, Andi, Adalee, Dani, Vada, Jael
  • “28” boy names: Alan, Ari, Eden, Case, Mack, Ira, Jael, Ash, Om, Adin

1 via 37

The following baby names add up to 37, which reduces to one (3+7=10; 1+0=1).

  • “37” girl names: Elena, Cora, Alina, Rebecca, Kate, Ariah, Alani, Liana, Amalia, Mina
  • “37” boy names: Luca, Baker, Axl, Jamal, Coen, Van, Brice, Niam, Nick, Ajay

1 via 46

The following baby names add up to 46, which reduces to one (4+6=10; 1+0=1).

  • “46” girl names: Hannah, Zoe, Gianna, Reagan, Lucia, Daniela, Adaline, Zara, Vera, Raegan
  • “46” boy names: Elias, Ivan, Juan, Zane, Leon, Damien, Arlo, Erick, Cesar, Malik

1 via 55

The following baby names add up to 55, which reduces to one (5+5=10; 1+0=1).

  • “55” girl names: Nevaeh, Hadley, Iris, Joanna, Camille, Freya, Aspen, Gabriela, Heaven, Mariam
  • “55” boy names: Edward, Jorge, Jett, Edwin, Grady, Davis, Conrad, Kellan, Vihaan, Grey

1 via 64

The following baby names add up to 64, which reduces to one (6+4=10; 1+0=1).

  • “64” girl names: Emily, Piper, Makayla, Tessa, Sabrina, Mercy, Miley, Frankie, Natasha, Azariah
  • “64” boy names: Jaxon, Brody, Zion, Peter, Knox, Lukas, Israel, Arjun, Ronald, Roland

1 via 73

The following baby names add up to 73, which reduces to one (7+3=10; 1+0=1).

  • “73” girl names: Brynn, Carolina, Kaylani, Jazmin, Elliot, Calliope, Karter, Jurnee, Bexley, Nataly
  • “73” boy names: Jackson, Joseph, Ezekiel, Elliot, Karter, Nicolas, Jayceon, Sergio, Sincere, Alberto

1 via 82

The following baby names add up to 82, which reduces to one (8+2=10; 1+0=1).

  • “82” girl names: Allison, Julianna, Kamryn, Meredith, Addyson, Clarissa, Kaisley, Lizbeth, Kaelynn, Charlize
  • “82” boy names: Maverick, Zachary, Hendrix, Phillip, Mitchell, Crosby, Thaddeus, Kamryn, Alfonso, Dimitri

1 via 91

The following baby names add up to 91, which reduces to one (9+1=10; 1+0=1).

  • “91” girl names: Katherine, Taylor, Everleigh, Sawyer, Payton, Phoenix, Braelynn, Kensley, Liberty, Lauryn
  • “91” boy names: Sawyer, Giovanni, Phoenix, Johnathan, Matthias, Taylor, Cassius, Yousef, Payton, Agustin

1 via 100

The following baby names add up to 100, which reduces to one (1+0+0=1).

  • “100” girl names: Presley, Vivienne, Clementine, Brynleigh, Joselyn, Austyn, Yaritza, Jordynn, Temperance, Lillyanna
  • “100” boy names: Maximus, Ezequiel, Quentin, Quinten, Presley, Everette, Shivansh, Austyn, Ignatius, Yunus

1 via 109

The following baby names add up to 109, which reduces to one (1+0+9=10; 1+0=1).

  • “109” girl names: Sutton, Brittany, Raylynn, Joslynn, Zipporah, Hennessy, Sunshine, Kimberlyn, Rowynn, Faithlynn
  • “109” boy names: Kingston, Sutton, Westley, Tristin, Khristian, Rigoberto, Montrell, Rayshawn, Justyn, Stryder

1 via 118

The following baby names add up to 118, which reduces to one (1+1+8=10; 1+0=1).

  • “118” girl names: Rosalynn, Westlyn, Shaylynn, Jesslynn, Kynzley, Sharlotte, Krystiana, Christyana, Isabellarose, Timberlyn
  • “118” boy names: Demitrius, Oluwatobi, Braxxton, Anastasios, Barrington, Stanislaw, Bryxton, Braxtynn, Youness, Jatavious

1 via 127

The following baby names add up to 127, which reduces to one (1+2+7=10; 1+0=1).

  • “127” girl names: Quetzaly, Karrington, Rosselyn, Roselynne, Lillyrose, Onyinyechi, Terralynn, Annavictoria, Torilynn
  • “127” boy names: Stratton, Odysseus, Kristoffer, Maksymilian, Augustino, Ozymandias, Theophilos, Chukwuebuka, Jaxxston, Kingarthur

1 via 136

The following baby names add up to 136, which reduces to one (1+3+6=10; 1+0=1).

  • “136” girl names: Kourtlyn, Oyinkansola, Brookelynne, Rosslynn, Tanitoluwa
  • “136” boy names: Jaquavious, Xzayvion, Oreofeoluwa

1 via 145

The following baby names add up to 145, which reduces to one (1+4+5=10; 1+0=1).

  • “145” girl names: Montgomery, Maryelizabeth, Elizabethrose, Peneloperose
  • “145” boy names: Montgomery, Sylvester, Quantavius, Constantinos

1 via 154

The girl name Summerlynn adds up to 154, which reduces to one (1+5+4=10; 1+0=1).

1 via 163

The boy name Constantinos adds up to 163, which reduces to one (1+6+3=10; 1+0=1).

1 via 172

The girl name Trinityrose adds up to 172, which reduces to one (1+7+2=10; 1+0=1).

What Does “1” Mean?

First, we’ll look at the significance assigned to “1” by two different numerological sources. Second, and more importantly, ask yourself if “1” or any of the intermediate numbers above have any special significance to you.

Numerological Attributes

“1” (the monad) according to the Pythagoreans:

  • “The Pythagoreans called the monad ‘intellect’ because they thought that intellect was akin to the One; for among the virtues, they likened the monad to moral wisdom; for what is correct is one. And they called it ‘being,’ ’cause of truth,’ ‘simple,’ ‘paradigm,’ ‘order,’ ‘concord,’ ‘what is equal among greater and lesser,’ ‘the mean between intensity and slackness,’ ‘moderation in plurality,’ ‘the instant now in time,’ and moreover they called it ‘ship,’ ‘chariot,’ ‘friend,’ ‘life,’ ‘happiness.'”
  • “They say that the monad is not only God, but also ‘intellect’ and ‘androgyne.’ It is called ‘intellect’ because of that aspect of God which is the most authoritative both in the creation of the universe and in general in all skill and reason”
  • “They consider it to be the seed of all, and both male and female at once”
  • “They call it ‘Chaos’ which is Hesiod’s first generator, because Chaos gives rise to everything else, as the monad does. It is also thought to be both ‘mixture’ and ‘blending,’ ‘obscurity’ and ‘darkness,’ thanks to the lack of articulation and distinction of everything which ensues from it.”
  • “They call it ‘Prometheus,’ the artificer of life, because, uniquely, it in no way outruns or departs from its own principle, nor allows anything else to do so, since it shares out its own properties.”

“1” according to Edgar Cayce:

  • “One indicates strength, power, influence” (reading 261-15).
  • “All activities emanate from the one” (reading 5751-1).
  • “As in numbers…all are formations or divisions or multiples of units of one, so the universe and the expressions of all natures within same are the manifestations of that one force, one power, one spirit, one energy known as or called a Universal Force, Creative Energy, or God.” (reading 1462-1).
Personal/Cultural Significance

Does “1” — or do any of the other numbers above (e.g., 19, 55, 64, 109) — have any special significance to you?

Think about your own preferences and personal experiences: lucky numbers, birth dates, music, sports, and so on. Maybe your favorite song is “When I’m Sixty-Four” by the Beatles, for example.

Also think about associations you may have picked up from your culture, your religion, or society in general.

If you have any interesting insights about the number 1, or any of the other numbers above, please leave a comment!

Source: Theologumena Arithmeticae, attributed to Iamblichus (c.250-c.330).

Is “Denifer” Still Refined?

Denifer ad from 1921

Did you know that there’s a building in Chicago called the Denifer — “refined” spelled backwards? When it first opened in 1921, the name was mocked by several publications. The Chicago Tribune said:

“[T]he owners of the hotel to be built at the northwest corner of Kenmore and Balmoral avenues…arrived at the conclusion that the new hostelry certainly would be refined. […] The rest of the christening was easy. The ‘d’ is made a capital; the other letters are run in backwards and–behold! We have the Hotel Denifer!”

Hotel Monthly, jumping on the bandwagon a month later, asked:

Is the word Denifer, as a reverse in the spelling of refined, a consistent name? Does it not suggest the opposite of refined?

Interesting questions in this age of Nevaeh

Do you think that flipping the spelling of a word flips the definition of that word as well?

(And, do you think that the Jennifer-like “Denifer” could potentially catch on as a baby name?)

Sources:

Image: Denifer Condominiums

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%
  • 2018: Maleni, 950%; Atreus, 1888%

(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…

How to Name Fictional Characters

three tips on choosing a character name

How-to articles on naming fictional characters are a dime a dozen. But most are a litany of tips — some important, others not so much. So I thought I’d try boiling the best of the advice down to a single sentence. Here’s what I came up with:

“Each character’s name should fit the setting, fit the character, and be distinct within the story.”

The sentence contains three different objectives, so let’s look out each one separately:

Fit the setting

The name should be appropriate for the time and place in which the story occurs. A romance set in 18th-century England could be between an Elizabeth and a Frederick, but not a Nevaeh and a Jayden. Similarly, the protagonist of a 24th-century space opera could be named something standard/plain (John) or futuristic (Loxxan), but probably not something very old (Holmketill), or even slightly old (Clarence).

Fit the character

The name should suit the character, primarily in terms of permanent descriptors (e.g., gender, age, ethnicity), but also, perhaps, in terms of personality traits (e.g., bubbly, gracious, haughty).

Stereotyping in general is bad, but when it comes to character names, it’s very useful: You want the name to give the correct impression of the character right away. A woman from India should be named Padma, not Margaret. A man from Germany should be called Armin, not Oakley.

You could also take it a step further and choose a name that reflects the character’s personality in a subtle way. A friendly woman could be an Amy, while a complex woman could be Demetria. Do this mainly with sounds and associations, which will be picked up instantly by the reader.

Be distinct within the story

The name should not look or sound similar to any of the other names in the story, or else the reader could get confused. Pay special attention to first letters and to repeated sounds. If the protagonists are sisters, name them Mila and Harriet, not Katie and Kelly. Likewise, if the main characters are brothers, use the names Brian and Luke, not Aidan and Adam.

…What are your thoughts on this topic?

Biggest Changes in Girl Name Popularity, 2016

Which girl names increased the most in popularity from 2015 to 2016? Which ones decreased the most?

The SSA likes to answer this question by analyzing ranking differences within the top 1,000. I like to answer it by looking at raw number differences that take the full list into account. So let’s check out the results using both methods…

Girl Names: Biggest Increases, 2015 to 2016

baby names, girl names, more popular

Rankings

1. Kehlani, +2,487 spots — up from 3,359th to 872nd
2. Royalty, +618 spots — up from 1,150th to 532nd
3. Saoirse, +465 spots — up from 1,448th to 983rd
4. Ophelia, +396 spots — up from 976th to 580th
5. Aitana, +368 spots — up from 917th to 549th
6. Itzayana, +356 spots — up from 1,125th to 769th
7. Alessia, +348 spots — up from 1,175th to 827th
8. Kaylani, +301 spots — up from 1,056th to 755th
9. Avianna, +298 spots — up from 751st to 453rd
10. Nalani, +294 spots — up from 1,280th to 986th

Kehlani and Kaylani were influenced by singer/songwriter Kehlani Parrish. (Kehlani was the top debut name of 2015, and variant Khelani debuted impressively in 2016.)

Royalty was influenced by the R&B singer Chris Brown, whose daughter (b. 2014) and 7th album (2015) were both called Royalty.

Saoirse was influenced by Irish actress Saoirse Ronan — perhaps specifically by those American talk show appearances in which she talked to the hosts (Ellen DeGeneres, Stephen Colbert, etc.) about how to pronounce her name. Plus there was that widely circulated Ryan Gosling quote on the same topic (“It’s Ser-sha, like inertia”).

Alessia was influenced by singer/songwriter Alessia Cara.

Raw Numbers

1. Adeline, +1,700 baby girls — up from 2,403 to 4,103
2. Charlotte, +1,649 baby girls — up from 11,381 to 13,030
3. Riley, +1,390 baby girls — up from 5,720 to 7,110
4. Adaline, +971 baby girls — up from 902 to 1,873
5. Amelia, +864 baby girls — up from 9,838 to 10,702
6. Luna, +849 baby girls — up from 2,796 to 3,645
7. Emilia, +804 baby girls — up from 2,215 to 3,019
8. Camila, +765 baby girls — up from 5,271 to 6,036
9. Nova, +754 baby girls — up from 1,518 to 2,272
10. Evelyn, +708 baby girls — up from 9,352 to 10,060

Adeline and Adaline were influenced, at least initially, by the movie The Age of Adaline (2015).

Other names that saw raw number increases in the 200+ range included Eleanor, Teagan, Kinsley, Scarlett, Everly, Quinn, Aria, Remi, Harper, Penelope, Thea, Claire, Rowan, Hazel, Ruby, Blake, Aurora, Ivy, Harley, Eloise, Willow, Elena, Josephine, Alice, Blakely, Saylor, Nora, Leia, Iris, Margot, Isla, Freya, Samara, Joy, Zara, Eliana, Joanna, and Malia.

Girl Names: Biggest Decreases, 2015 to 2016

baby names, girl names, less popular

Rankings

1. Caitlin, -542 spots — down from 609th to 1,151st
2. Caitlyn, -462 spots — down from 598th to 1,060th
3. Katelynn, -402 spots — down from 652nd to 1,054th
4. Kaitlynn, -381 spots — down from 994th to 1,375th
5. Neriah, -344 spots — down from 943rd to 1,287th
6. Bryanna, -276 spots — down from 783rd to 1,059th
7. Kiley, -275 spots — down from 898th to 1,173rd
8. Yaritza, -271 spots — down from 935th to 1,206th
9. Denise, -210 spots — down from 993rd to 1,203rd
10. Kaelyn, -203 spots — down from 521st to 724th

caitlyn jenner, magazine coverCaitlin, Caitlyn, Katelynn, and Kaitlynn, were negatively influenced by Caitlyn Jenner (formerly Bruce Jenner), who appeared on the cover of Vanity Fair in mid-2015 with the headline “Call me Caitlyn.”

This reminds me of what happened a few decades ago to Hillary — another name that was strongly associated for a time with a female who wasn’t conforming to gender norms. Perhaps tellingly, the name Bruce wasn’t hit nearly as hard. Jenner did fall of the charts, though.

Raw Numbers

1. Sophia, -1,311 baby girls — down from 17,381 to 16,070
2. Alexa, -1,289 baby girls — down from 6,049 to 4,760
3. Madison, -1,090 baby girls — down from 10,072 to 8,982
4. Emma, -1,001 baby girls — down from 20,415 to 19,414 (…but still the #1 name overall)
5. Aubrey, -869 baby girls — down from 7,376 to 6,507
6. Isabella, -852 baby girls — down from 15,574 to 14,722
7. Emily, -840 baby girls — down from 11,766 to 10,926
8. Kylie, -753 baby girls — down from 4,149 to 3,396
9. Alexis, -744 baby girls — down from 3,406 to 2,662
10. Abigail, -672 baby girls — down from 12,371 to 11,699

Other names that saw raw number drops in the 200+ range included Kaitlyn, Avery, Allison, Alyssa, London, Kaylee, Sofia, Katelyn, Kimberly, Zoey, Mia, Chloe, Kendall, Taylor, Sadie, Khloe, Mackenzie, Hannah, Peyton, Addison, Samantha, Ashley, Olivia, Gabriella, Brianna, Lauren, Anna, Brooklyn, Morgan, Jocelyn, Sydney, Natalie, Victoria, Makayla, Zoe, Hailey, Payton, Brooke, Annabelle, Trinity, Keira, Adalyn, Jordyn, Kayla, Molly, Audrey, Faith, Madelyn, Lillian, Caitlin, Caitlyn, Makenzie, Paige, Aaliyah, Paisley, Nevaeh, Elizabeth, Amy, and Jessica.

Interesting how certain like-names went in opposite directions last year. Leia, Alessia, and Adaline rose; Leah, Alyssa, and Adalyn fell.

Do you have any other explanations/guesses about any of the names above? If so, please comment!

(In 2015, the big winners were Alexa and Alaia, and the big losers were Isabella and Isis.)

Sources: Change in Popularity from 2015 to 2016, Emma and Noah Remain Social Security’s Most Popular Baby Names for 2016