How popular is the baby name Gianlucas in the United States right now? How popular was it historically? Use the popularity graph and data table below to find out! Plus, see all the blog posts that mention the name Gianlucas.

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Popularity of the baby name Gianlucas


Posts that mention the name Gianlucas

Popular boy names in the United States, 2019

Flag of the United States
Flag of the United States

Yesterday we looked at some of the latest girl name data, so today let’s check in on the 2019 boy names…

Here are the most popular boy names overall:

  1. Liam, 20,502 baby boys
  2. Noah, 19,048
  3. Oliver, 13,891
  4. William, 13,542
  5. Elijah, 13,300
  6. James, 13,087
  7. Benjamin, 12,942
  8. Lucas, 12,412
  9. Mason, 11,408
  10. Ethan, 11,241

Ethan kicked Logan out of the top 10 last year. (Logan is now ranked 16th.)

The boy names that saw the largest increases in usage in terms of absolute numbers of babies were…

  1. Brooks, increased by 1,114 babies
  2. Miles, 860
  3. Legend, 832
  4. Luca, 797
  5. Theodore, 775
  6. Mateo, 757
  7. Leo, 702
  8. Maverick, 701
  9. Noah, 698
  10. Luka, 652

The boy names that saw the largest increases in usage in terms of relative numbers of babies were…

  1. Ermias, increased by 3360%
  2. Sekani, 1992%
  3. Amenadiel, 500%
  4. Kross, 481%
  5. Alexios, 429%
  6. Taz, 340%
  7. Ezran, 333%
  8. Andoni, 309%
  9. Kaleel, 300%
  10. Taysom, 295%

Some explanations…

  • Ermias was the legal first name of rapper Nipsey Hussle (who died on March 31, 2019).
  • Sekani was the name of a young character in the film The Hate U Give (2018).
  • Amenadiel is a character on the TV series Lucifer.
  • Ezran is the name of a character on the Netflix series The Dragon Prince. (Ezran debuted in the data in 2018, the year the show started airing.)
  • Taysom Hill is a professional football player with the New Orleans Saints.

Here are the boy names that debuted most impressively in the 2019 data:

  1. Armias, debuted with 54 baby boys
  2. Izhaan, 50
  3. Jsan, 33
  4. Jaiari, 29
  5. Ripp, 26
  6. Sakani, 21
  7. Jardani, 19
  8. Iskender, 17
  9. Kamiri, 17
  10. Siar, 14
  • Armias and Sakani are spelling variants of Ermias and Sekani (above).
  • Izhaan is a celebrity baby: Izhaan Mirza Malik was born in October of 2018 to Indian tennis player Sania Mirza and Pakistani cricketer Shoaib Malik.
  • Jardani could be from Jardani Jovonovich, the “real” name of popular movie character John Wick…?

The boy names that saw the largest decreases in usage in terms of absolute numbers of babies were…

  1. Logan, decreased by 1,911 babies
  2. Michael, -1,174
  3. Jacob, -1,159
  4. Dylan, -1,076
  5. Mason, -1,065
  6. William, -1,048
  7. Connor, -932
  8. David, -871
  9. Ryan, -837
  10. Joshua, -836

The boy names that saw the largest decreases in usage in terms of relative numbers of babies were Nomar and Gianlucas (tied at -73%), and the boy name that saw the steepest drop off the list was Stephano (from 21 babies in 2018 to fewer than 5 in 2019).

If you can explain any of these rises (or drops), please leave a comment!

Source: SSA

Image: Adapted from Flag of the United States (public domain)

Baby names that fell the fastest in the U.S. data, 1881 to today (relative decrease)

fallen leaves

We looked at the top baby name rises last month, so this month let’s look at the opposite: the top drops. That is, the baby names that decreased the most in usage, percentage-wise, from one year to the next in the Social Security Administration’s data.

Here’s the format: girl names are on the left, boy names are on the right, and the percentages represent single-year slides in usage. (For example, from 1880 to 1881, usage of the girl name Clementine dropped 68% and usage of the boy name Neil dropped 76%.)

  • 1881: Clementine, -68%; Neil, -76%
  • 1882: Malissa, -56%; Verne, -67%
  • 1883: Minna, -67%; Morton, -74%
  • 1884: Roxy, -62%; Ellsworth & Newt, -60%
  • 1885: Sina, -68%; Clarance, -74%
  • 1886: Cordia, Dicie & Johnie, -64%; Adelbert, -69%
  • 1887: Faith, -69%; Hardy, -73%
  • 1888: Diana & Hope, -63%; Connie, -55%
  • 1889: Zilpha, -71%; Wendell, -71%
  • 1890: Buena, -60%; Alvie, -69%
  • 1891: Odie, -65%; Pierce, -76%
  • 1892: Eudora, -67%; Maude, -58%
  • 1893: Lollie, -65%; Levy, -64%
  • 1894: Macy, -64%; Lindsay, -76%
  • 1895: Gina, Laurel & Pennie, -69%; Alvie & Urban, -65%
  • 1896: Dagmar, -75%; Talmage, -67%
  • 1897: Myrta & Ouida, -75%; Benton, -68%
  • 1898: Fae, -71%; Fate, -74%
  • 1899: Rosia, -80%; Fitzhugh, -79%
  • 1900: Irva, -74%; Dora, -69%
  • 1901: Leonore, -75%; Judge, -81%
  • 1902: Veva, -74%; Davis, -72%
  • 1903: Littie & Samantha, -67%; Hunter, -67%
  • 1904: Genie, -71%; Bessie & Reynold, -67%
  • 1905: Luberta, -75%; Randall, -67%
  • 1906: Dulcie, -75%; Patsy, -69%
  • 1907: Libbie, -71%; Geo, -59%
  • 1908: Aurore, -75%; Elden & Minor, -67%
  • 1909: Arnetta, -68%; Tracy, -75%
  • 1910: Lollie, -67%; Hadley, -64%
  • 1911: Nada, -72%; Shelton, -73%
  • 1912: Carla, -71%; Rosendo, -67%
  • 1913: Vassie, -67%; Auburn, -67%
  • 1914: Coy & Maryelizabeth, -64%: Hosey, -78%
  • 1915: Thomasine, -67%; Giacomo, -67%
  • 1916: Zudora, -75%; Remus, -72%
  • 1917: Athalie, -78%; Tatsuo, -82%
  • 1918: Theta, -74%; Lennis, -72%
  • 1919: Liberty, -83%; Foch, -84%
  • 1920: Veatrice, -77%; Pershing, -73%
  • 1921: Fidela & Theone, -70%; Cleven, -71%
  • 1922: Angelyn & Renata, -75%; Dail, -73%
  • 1923: Odilia, -83%; Ugo & Waino, -74%
  • 1924: Gladine, -71%; Masayuki, -72%
  • 1925: Williemae, -72%; Emitt, -72%
  • 1926: Patrice, -75%; Ann, -78%
  • 1927: Vila, -75%; Boston, -76%
  • 1928: Kazue, -79%; Shoji, -93%
  • 1929: Livia, -81%; Tatsuo, -82%
  • 1930: Ivalee, -71%; Deforest, -72%
  • 1931: Emaline, -76%; Audley, -75%
  • 1932: Zulema, -80%; Hale, -77%
  • 1933: Dessa, -78%; Burleigh, -79%
  • 1934: Nira, -81%; Overton, -71%
  • 1935: Claudean, -73%; Hester, -74%
  • 1936: Norita, -79%; Kenley, -79%
  • 1937: Adel & Berdine, -71%; Grace, -78%
  • 1938: Ever, -75%; Casimiro, -75%
  • 1939: Walda, -74%; Butler, -74%

The SSA data isn’t perfect, but it does become more accurate 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…

  • 1940: Avalon & Ellouise, -75%; Jacque, -71%
  • 1941: Lassie, -71%; Faye & Lemar, -71%
  • 1942: Voncille, -75%; Meyer, -70%
  • 1943: Mahala, -76%; Ewing, -76%
  • 1944: Kyle, -77%; Griffith, -77%
  • 1945: Sherrianne, -74%; Ellwood, Kern & Pascal, -67%
  • 1946: Bettyjo, -71%; Adrien, -77%
  • 1947: Judye, -76%; Bernardino, -72%
  • 1948: Tilda, -78%; Saverio, -74%
  • 1949: Vickii, -77%; Alphonza, -75%
  • 1950: Ranelle, -78%; Agapito, -68%
  • 1951: Vallorie, -90%; Skippy, -72%
  • 1952: Laural, -76%; Edson, -74%
  • 1953: Annelle & Otilia, -72%; Gerrit, -70%
  • 1954: Trenace, -81%; Celso, -76%
  • 1955: Jyl, -79%; Garrie & Robet, -74%
  • 1956: Cerise, -79%; Orlin, -74%
  • 1957: Angelene, -77%; Ruby, -76%
  • 1958: Seneca, -80%; Darryel & Richerd, -72%
  • 1959: Elfrida, -82%; Dietrich, -75%
  • 1960: Jinny, -72%; Ardis, -74%
  • 1961: Perian, -91%; Cully, -84%
  • 1962: Chantay, -80%; Torin, -73%
  • 1963: Marnita, -82%; Isidore, -75%
  • 1964: Julann, -79%; Tandy, -75%
  • 1965: Tonjua, -90%; Jaimie, -86%
  • 1966: Charlet & Desi, -77%; Glennon, -74%
  • 1967: Jeryl, -83%; Haskell, -72%
  • 1968: Millette, -88%; Daneil, -77%
  • 1969: Lya, -81%; Athony, -73%
  • 1970: Cinamon, -77%; Aldrin, -77%
  • 1971: Chimene, -77%; Garet, -74%
  • 1972: Jurea, -83%; Rayvon, -77%
  • 1973: Dayatra, -86%; Keelan, -70%
  • 1974: Shondell, -78%; Efraim, -71%
  • 1975: Natonya, -78%; Imari, -76%
  • 1976: Okema, -87%; Nakia, -79%
  • 1977: Liberty, -79%; Tierre, -81%
  • 1978: Farrah, -78%; Quint, -77%
  • 1979: Danetta, -77%; Kinte, -84%
  • 1980: Vernee, -77%; Kendra, -75%
  • 1981: Santresa, -80%; Jerritt, -74%
  • 1982: Andres, -75%; Stavros, -78%
  • 1983: Tremaine, -81%; Nicanor, -75%
  • 1984: Tyechia, -81%; Jeris, -77%
  • 1985: Gricel, -89%; Duron, -76%
  • 1986: Celenia, -83%; Damiano, -76%
  • 1987: Tareva, -86%; Krystal, -75%
  • 1988: Jeree, -82%; Jammal, -80%
  • 1989: Neyva, -77%; Derrel, -76%
  • 1990: Catherin, -93%; Salvator, -88%
  • 1991: Tichina, -80%; Arsenio, -76%
  • 1992: Unnamed, -88%; Unnamed, -86% [2nd place: Emilce & Symba, -83%; Quayshaun, -80%]
  • 1993: Akeiba, -88%; Evelyn & Jawara, -71%
  • 1994: Kebrina, -86%; Farrell, -79%
  • 1995: Noheli, -84%; Ajee, -79%
  • 1996: Shatasha, -81%; Unknown, -77%
  • 1997: Hydia, -80%, Halston, -79%
  • 1998: Ajaysia, -77%; Jachai, -91%
  • 1999: Naidelyn, -86%; Denzil, -79%
  • 2000: Shanequa, -82%; Giovan, -75%
  • 2001: Berania, -78%; Devontre, -75%
  • 2002: Anallely, -86%; Nkosi, -72%
  • 2003: Jnaya, -88%; Tyheim, -81%
  • 2004: Nayzeth, -89%; Myzel, -75%
  • 2005: Nathaniel, -80%; Hannah, -87%
  • 2006: Babygirl, -86%; Infant, -91% [Counting legit names only: Mikalah, -82%; Jakyri, -79%]
  • 2007: Bethzy, -91%; Brasen, -83%
  • 2008: Lizania, -86%; Duvan, -79%
  • 2009: Aideliz, -88%; Kesan, -78%
  • 2010: Chastelyn, -95%; Yanixan, -87%
  • 2011: Samuel, -79%; Tiger, -80%
  • 2012: Thaily, -78%; Vadhir, -88%
  • 2013: Shanik, -88%; Oneil, -77%
  • 2014: Audris & Avalie, -80%; Sy, -73%
  • 2015: Rion, -83%; Rawley, -79%
  • 2016: Yazaira, -84%; Treysen, -79%
  • 2017: Brucha, -76%; Makana, -79%
  • 2018: Yuleimy, -85%; Neizan, -78%
  • 2019: Anifer, -86%; Nomar & Gianlucas, -73%

(Did you catch the doubles? Alvie, Tatsuo, and Fae/Faye.)

Top drops aren’t quite as exciting as top rises, but certain ones become much more intriguing when you notice that they were also top rises:

  • Rose-then-dropped: Clarance, Lollie, Lindsay, Zudora, Tatsuo, Liberty, Norita, Vallorie, Krystal, Seneca, Nakia, Mikalah, Bethzy, Thaily
  • Dropped-then-rose: Clementine, Malissa, Diana, Alvie, Pierce, Judge, Rosendo

I’ve already written about some of the names above (click the links to see the posts) and I plan to write about a few of the others. In the meanwhile, though, feel free to beat me to it — leave a comment and let us know why you think any of these names saw dropped in usage when they did.

Source: SSA

Image: Adapted from Fall (6282684630) by Kenny Louie under CC BY 2.0.