How popular is the baby name Gerrit 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 Gerrit.

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Popularity of the baby name Gerrit


Posts that mention the name Gerrit

Popular baby names in the Netherlands, 2022

Flag of the Netherlands
Flag of the Netherlands

The country of the Netherlands, located in Northwestern Europe, is bordered by both Belgium and Germany.

Last year, from January to November, the Netherlands welcomed more than 168,000 babies — over 82,000 girls and over 86,000 boys.

What were the most popular names among these babies? Emma and Noah.

Here are the Netherlands’ top 50 girl names and top 50 boy names of 2022:

Girl Names

  1. Emma, 677 baby girls
  2. Julia, 655
  3. Mila, 624
  4. Sophie, 620
  5. Olivia, 591
  6. Yara, 559
  7. Saar, 532 – short form of Sarah
  8. Nora, 524
  9. Tess, 509
  10. Noor, 501
  11. Milou, 489
  12. Sara, 486
  13. Liv, 482
  14. Zoë, 473
  15. Evi, 466
  16. Anna, 455
  17. Luna, 451
  18. Lotte, 423 (tie)
  19. Nina, 423 (tie)
  20. Eva, 405
  21. Emily, 389
  22. Lauren, 386
  23. Maeve, 384
  24. Lina, 383
  25. Elin, 379
  26. Maud, 368
  27. Sarah, 350
  28. Nova, 345
  29. Loïs, 340 (tie)
  30. Sofia, 340 (tie)
  31. Mia, 339
  32. Sofie, 332
  33. Lieke, 330
  34. Fleur, 328
  35. Isa, 325
  36. Fien, 324 – short form of Josefien
  37. Lynn, 319
  38. Hailey, 312
  39. Roos, 297
  40. Julie, 290
  41. Livia, 288
  42. Fenna, 284 – feminine form of Fen (a Frisian short form of Ferdinand)
  43. Ella, 279
  44. Sophia, 275
  45. Bo, 274
  46. Lily, 252
  47. Ivy, 248
  48. Romée, 246
  49. Lena, 244
  50. Noé, 241

Boy Names

  1. Noah, 871 baby boys
  2. Liam, 666
  3. Luca, 664
  4. Lucas, 652
  5. Mees, 621 – short form of Bartholomeus
  6. Finn, 596
  7. James, 594
  8. Milan, 591
  9. Levi, 585
  10. Sem, 582
  11. Daan, 538
  12. Noud, 533 – short form of Arnoud (the Dutch form of Arnold)
  13. Luuk, 518
  14. Adam, 508
  15. Sam, 495
  16. Bram, 470
  17. Zayn, 447
  18. Mason, 440
  19. Benjamin, 409
  20. Boaz, 369
  21. Siem, 360 – short form of Simon
  22. Guus, 356
  23. Morris, 353
  24. Olivier, 349 (tie)
  25. Thomas, 349 (tie)
  26. Teun, 346 – short form of Antonius
  27. Gijs, 335 (tie) – short form of Gijsbert
  28. Mats, 335 (tie)
  29. Max, 326
  30. Jesse, 317
  31. Julian, 315
  32. Otis, 314
  33. Floris, 312
  34. Lars, 307
  35. David, 304 (tie)
  36. Jake, 304 (tie)
  37. Moos, 303 – short form of Mozes
  38. Rayan, 300
  39. Jens, 291
  40. Joep, 289
  41. Owen, 286
  42. Thijs, 273
  43. Jan, 270 (3-way tie)
  44. Oliver, 270 (3-way tie)
  45. Willem, 270 (3-way tie)
  46. Mick, 269
  47. Jack, 262
  48. Jurre, 259 – short form of Jurryt (the Frisian form of Gerard)
  49. Abel, 254
  50. Kai, 253

Dutch onomastician Gerrit Bloothooft noted that, if similar names had been counted together, the name-groups Saar/Sara/Sarah and Luca/Lucas/Luuk would have topped the girls’ list and the boys’ list, respectively.

The girls’ top 100 included Cato (55th), Veerle (60th), Puck (75th), and Merel (83rd).

The boys’ top 100 included Jaxx (56th), Sven (64th), Hidde (72nd), and Jip (78th).

Finally, here are the Netherlands’ 2021 rankings, if you’d like to compare.

Sources: Kindernamen home | Kindernamen | SVB, Emma en Noah de populairste kindernamen van 2022, Population growth almost doubled in 2022, Behind the Name

Image: Adapted from Flag of the Netherlands (public domain)

Baby name story: Storm

Dutch Merchant - Ships in a Storm (1670s) by Ludolf Bakhuizen

In October of 1636, Albert Andriessen Bradt and his wife Annetje* boarded the Wapen Van Rensselaerwyck in Amsterdam and set off for the New World. They arrived in New Netherland in March of 1637.

During the sea voyage, they welcomed their third child. He was born on November 2 during a violent storm, and so they named him Storm, fittingly. (The word is the same in both Dutch and English.)

During his early adulthood, Storm adopted the surname van der Zee, meaning “from/of the sea.” This was the surname he gave his wife Hilletje and their four children: Annatje Storm, Gerrit Storm, Wouter Stormsz, and Albert. (The “sz” ending in Dutch names is a contraction of –s zoon, or “-‘s son.”)

Storm Vanderzee’s first name ended up being passed down to many people — not just to his direct descendants, but also to the descendants of his seven siblings, and even to one of the children his widow had with her second husband (!).

What are your thoughts on the name Storm?

*Interestingly, neither one was Dutch by birth: Albert was originally from Norway, and Annetje was originally from Germany.

Sources: Storm Vanderzee – New York State Museum, Albert Andriessen Bradt – Wikipedia, Albert Andriessen Bradt (1607-1686) – WikiTree, Hilletie Lansing Vanderzee Ketelhuyn – New York State Museum, Hard to Kill (1990) – IMDb

P.S. The baby name Storm saw a steep rise in usage (as a boy name) in the U.S. in 1990. The next year, it reached the top 1,000 for the first time and remained there until 1997. Why the jump? My guess is the 1990 movie Hard to Kill, in which star Steven Seagal played Detective Mason Storm.

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.