How popular is the baby name Seneca 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 Seneca.

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Popularity of the Baby Name Seneca


Posts that Mention the Name Seneca

Popular baby names in the Philippines, 2020

Philippines

According to the Philippine Statistics Authority, the most popular baby names in the country in 2020 were Althea and Jacob.

Here are the Philippines’ top 10 girl names and top 10 boy names of 2020:

Girl Names

  1. Althea, 2,268 baby girls
  2. Angel, 1,436
  3. Samantha, 1,430
  4. Princess, 1,193
  5. Nathalie, 1,144
  6. Sofia, 1,130
  7. Sophia, 1,122
  8. Jasmine, 1,102
  9. Andrea, 1,063
  10. Angela, 1,048

Boy Names

  1. Jacob, 2,164 baby boys
  2. Nathaniel, 2,014
  3. Gabriel, 1,895
  4. Nathan, 1.613
  5. Ethan, 1,548
  6. Ezekiel, 1,418
  7. Angelo, 1,395
  8. James, 1,318
  9. Joshua, 1,170 (tie)
  10. Kyle, 1,170 (tie)
Covid-related baby names in the Philippines

The most fascinating part of the publication, though, was the “pandemic-related names” section. It highlighted the following names:

  • Covid: 355 Filipino babies got “Covid” as part of their name in 2020
  • Corona: 31 got “Corona” as part of their name
  • Quarantine: 6 got “Quarantine” as part of their name
  • Astra/Aztra
  • Zeneca/Seneca
  • Lockdown
  • Mask
  • Pandemica
  • Vaccine

In 2019 (and in 2018), the top two names in the Philippines were Althea and Nathaniel.

Source: The Philippines’ Most Common Baby Names of 2020 (PDF)

Inconspicuous anagram baby names: Blake/Kaleb, Hale/Leah

letters

I recently updated my old anagram baby names post to make it much more comprehensive. As I worked on it, though, I noticed that many of those sets of names had obvious similarities, such as the same first letters and/or the same rhythm.

So I thought I’d make a second, shorter list of anagram names that were less conspicuously similar. Specifically, I wanted the second list to feature sets of names with different first letters and different numbers of syllables.

And that’s what you’ll find below — pairs of anagram names that are relatively distinct from one another. So much so that, at first glance (or listen), some might not even strike you as being anagrammatic at all. :)

Click on any name to check out its popularity graph…

Most of the names above have a clear number of syllables, but a few do not. (I categorized them according to my own interpretation/accent.) So, if you’re interested in using any of these pairings, just remember to test the names out loud first!

Which of the pairs above do you like best?

Fastest-falling U.S. baby names (relative decrease), 1881 to today

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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%

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…

  • 1938: Ever, -75%; Casimiro, -75%
  • 1939: Walda, -74%; Butler, -74%
  • 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%
  • 2020: Diala, -81%; Daer, -80%
  • 2021: Ashvi, -76%; Aldair, -70%

(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.

Fastest-rising U.S. baby names (relative increase), 1881 to today

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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, 1,220%; 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, 1,386%; 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, 1,423%
  • 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, 1,860%; Gareth, 560%
  • 1922: Carley, 320%; Colie, 340%
  • 1923: Eris, 1,313%; 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, 1,147%; Hoover, 522%
  • 1929: Dorla, 800%; Davey, 889%
  • 1930: Arlayne, 317%; Derl, 1,060%
  • 1931: Marlene, 745%; Colbert, 280%
  • 1932: Harlene, 270%; Delano, 1,057%
  • 1933: Sharleen, 425%; Delano, 289%
  • 1934: Adriana, 283%; Kelvin, 360%
  • 1935: Norita, 1,171%; Darwyn, 458%
  • 1936: Shelba, 2,667%; Lonzie, 320%
  • 1937: Deanna, 2,009%; Tyrone, 788%

The SSA data isn’t perfect, but it does get a lot more accurate starting 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, 1,250%; Rulon, 250%
  • 1942: Michal, 1,520%; Macarthur, 2,740%
  • 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, 1,100%; Corby & Wilhelm, 240%
  • 1953: Angelique, 1,157%; Shane, 392%
  • 1954: Sheree, 756%; Dain, 360%
  • 1955: Sabrina, 711%; Davy, 509%
  • 1956: Venetia, 543%; Cheyenne, 680%
  • 1957: Tammy, 1,591%; Tammy, 467%
  • 1958: Keely, 1,100%; Bret, 680%
  • 1959: Torri, 411%; Efrem, 963%
  • 1960: Lisha, 1,096%; Stephon, 1,200%
  • 1961: Marisol, 481%; Parrish, 1,460%
  • 1962: Penne, 447%; Chance, 350%
  • 1963: Tamiko, 1,440%; Tal, 617%
  • 1964: Deneen, 7,191%; Temple, 420%
  • 1965: Fontella, 880%; Branden, 340%
  • 1966: Tabatha, 9,900%; Heath, 1,070%
  • 1967: Anisa, 1,600%; Garrison, 320%
  • 1968: Coretta, 2,485%; Dustin, 778%
  • 1969: Lalena, 640%; Jeromy, 514%
  • 1970: Shiloh, 540%; Jermaine, 3,320%
  • 1971: Ashli, 1,900%; Jermaine, 494%
  • 1972: Catina, 9,033%; Demond, 3,920%
  • 1973: Cicely, 1,827%; Caine, 780%
  • 1974: Nakia, 16,100%; Rashad, 1,100%
  • 1975: Rasheda, 988%; Jamaal, 688%
  • 1976: Rhiannon, 1,713%; Seneca, 1,429%
  • 1977: Shawntae, 686%; Lavar, 5,480%
  • 1978: Aja, 3,407%; Dequan, 988%
  • 1979: Renada, 780%; Yoel, 525%
  • 1980: Genese, 1,920%; Rayshaun, 440%
  • 1981: Krystle, 1,623%; Cavin, 833%
  • 1982: Jere, 1,000%; Colt, 1,620%
  • 1983: Ciji, 2,950%; Remington, 657%
  • 1984: Santana, 3,467%; Ryne, 424%
  • 1985: Kayleigh, 2,914%; Jaymes, 769%
  • 1986: Kyrie, 3,180%; Orry, 789%
  • 1987: Janay, 1,168%; Jareth, 400%
  • 1988: Whitley, 916%; Nico, 860%
  • 1989: Audriana, 3,467%; Alexande, 4,917%
  • 1990: Alannah, 1,583%; Tevin, 4,569%
  • 1991: Tanairi, 820%; Devante, 1,356%
  • 1992: Darian, 703%; Jalen, 3,980%
  • 1993: Coraima, 4,320%; Savon, 2,457%
  • 1994: Aaliyah, 6,495%; Romario, 1,940%
  • 1995: Iridian, 1,845%; Tristin, 747%
  • 1996: Alanis, 1,047%; Json, 880%
  • 1997: Yulisa, 2,729%, Ennis, 620%
  • 1998: Jazsmin, 960%; Denilson, 900%
  • 1999: Tionne, 1,100%; Sincere, 647%
  • 2000: Litzy, 1,189%; Elian, 2,413%
  • 2001: Nevaeh, 1,111%; Jaheim, 5,440%
  • 2002: Lashanti, 2,060%; Omarion, 8,260%
  • 2003: Azeneth, 1,913%; Andon, 2,200%
  • 2004: Betzaida, 1,233%; Jakwon, 1,260%
  • 2005: Mikalah, 1,906%; Talan, 2,130%
  • 2006: Bethzy; 2,636%; Dereon, 1,217%
  • 2007: Jaslene, 9,920%; Leonidas & Renner, 700%
  • 2008: Dayami, 3,464%; Barack, 940%
  • 2009: Baya, 1,020%; Dhani, 520%
  • 2010: Collins, 1,557%; Bentlee, 733%
  • 2011: Thaily, 1,400%; Neymar, 900%
  • 2012: Cataleya, 2,182%; Long, 740%
  • 2013: Daleyza, 1,055%; Jaiceon, 1,057%
  • 2014: Aranza, 1,297%; Jameis, 720%
  • 2015: Vail, 700%; Rhydian, 667%
  • 2016: Kehlani, 571%; Kylo, 580%
  • 2017: Westlynn, 600%; Oseias, 1,080%
  • 2018: Maleni, 950%; Atreus, 1,888%
  • 2019: Yalitza, 1,490%; Ermias, 3,360%
  • 2020: Ehlani, 2,100%; Omere, 460%
  • 2021: Thyri, 1,033%; Calian, 914%

(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…