How popular is the baby name Caitlin 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 Caitlin.

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Popularity of the baby name Caitlin


Posts that mention the name Caitlin

Classics on the decline: Rebecca, Carol, Susan

girl names falling out of fashion

In last week’s “lowest ever” boy names post, I mentioned that reader Caitlin had shared her research on downward-trending baby names with me recently. While many girl names hit relative lows in 2017, for instance…

  • Sarah, now ranked 62nd — lowest ranking since 1970.
  • Rachel, now ranked 195th — lowest ranking since 1960.
  • Melissa, now ranked 273rd — lowest ranking since 1949.

…a couple of the names on her list, Rebecca and Catherine, hit their “lowest ever” rankings last year. (Plus there was Katherine, a borderline case of a lowest-ever tie.)

So I set out to find other “lowest ever” girl names.

Many of the names I checked (like Clare, Lea, and Bridget) hit a low in 2017, but it wasn’t their all-time low. Many others (like Pauline, Sara, and Mary) hit a low recently, but not as recently as 2017. Still others (like Yvonne) had to be disqualified because, even though they hit their lowest ranking on record in 2017, they didn’t appear in the data for all 138 years (1880-2017)…an issue I didn’t encounter with any of the boy names.

In the end, I was able to add a dozen thirteen names to the list:

  • Ann. Ranked 1,023rd in 2017; peak was 28th in the 1930s.
  • Barbara. Ranked 908th in 2017; peak was 2nd in the 1930s/1940s.
  • Carol. Ranked 1,814th in 2017; peak was 4th in the 1940s.
  • Catherine. Ranked 198th in 2017; peak was 18th in the 1910s.
  • Celia. Ranked 857th in 2017; peak was 141st in the 1880s.
  • Cynthia. Ranked 637th in 2017; peak was 7th in the 1950s.
  • Elisabeth. Ranked 775th in 2017; peak was 286th in the 2000s.
  • Katherine. Ranked 105th in 2017 + 1938; peak 25th in the 1990s.
  • Kathleen. Ranked 871st in 2017; peak was 9th in the 1940s. (Late addition–thanks Kelly!)
  • Linda. Ranked 708th in 2017; peak was 1st in 1940s/1950s.
  • Priscilla. Ranked 527th in 2017; peak was 127th in the 1940s.
  • Rebecca. Ranked 216th in 2017; peak was 10th in the 1970s.
  • Rosa. Ranked 672nd in 2017; peak was 52nd in the 1880s.
  • Susan. Ranked 963rd in 2017; peak was 2nd in the 1950s/1960s.
  • Teresa. Ranked 720th in 2017; peak was 18th in the 1960s.
  • Tressa. Ranked 9242nd in 2017; peak was 761st in the 1960s.

That makes 15 (or 16, if you count Katherine). I certainly could have missed a few, though, so if you can think of a good candidate, please let me know in the comments and I’ll take a look.

Classics on the decline: Paul, Jesse, Frank

boy names falling out of fashion

A few weeks back, a reader named Caitlin emailed me a cool list of well-known names that were decreasing in usage. Her list included:

  • Andrew, now ranked 40th — lowest ranking since 1963
  • Michael, now ranked 12th — lowest ranking since 1942
  • David, now ranked 23rd — lowest ranking since 1924

She also generously told me that I could share her findings (thank you Caitlin!).

The names that intrigued me most were the “lowest ever” names: names that had been in the data since 1880, but that saw their lowest usage ever (in terms of rankings) in 2017. Three of the boy names on her list — Paul, Richard, Robert — were “lowest ever” names, so I decided start with these and search for others.

I checked hundreds of potential candidates. Many (like Andrew, Michael, and David) hit a low in 2017, but it wasn’t their all-time low. Many others (like Stanley, Alvin, and Clarence) hit a low recently, but not as recently as 2017.

In the end, I was able to add 15 names to the list:

  • Allen. Ranked 401st in 2017; peak was 71st in the 1940s/1950s.
  • Dennis. Ranked 544th in 2017; peak was 16th in the 1940s.
  • Edgar. Ranked 353rd in 2017; peak was 51st in the 1880s.
  • Edwin. Ranked 332nd in 2017; peak was 52nd in the 1910s/1920s.
  • Frank. Ranked 373rd in 2017; peak was 6th in the 1880s/1890s.
  • Gerald. Ranked 824th in 2017; peak was 19th in the 1930s.
  • Glenn. Ranked 1,288th in 2017; peak was 55th in the 1960s.
  • Herman. Ranked 2,347th in 2017; peak was 44th in the 1880s/1890s.
  • Jerome. Ranked 857th in 2017; peak was 93rd in the 1930s.
  • Jesse. Ranked 186th in 2017; peak was 37th in the 1980s.
  • Lloyd. Ranked 1,570th in 2017; peak was 51st in the 1910s.
  • Martin. Ranked 281st in 2017; peak was 62nd in the 1960s.
  • Marvin. Ranked 559th in 2017; peak was 44th in the 1930s.
  • Paul. Ranked 225th in 2017; peak was 12th in the 1910s/1930s.
  • Raymond. Ranked 293rd in 2017; peak was 14th in the 1910s.
  • Richard. Ranked 175th in 2017; peak was 5th in the 1930s/1940s.
  • Robert. Ranked 65th in 2017; peak was 1st in the 1920s/1930s/1950s.
  • Wayne. Ranked 816th in 2017; peak was 29th in the 1940s.

Interestingly, all 18 have spent time in the top 100. And one, Robert, is still in the top 100. (How long before Robert is out of the top 100, do you think?)

A handful of girl names also saw their lowest-ever rankings in 2017. I’ll post that list next week…

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

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

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 cover

Caitlin, 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

The top baby names in Maryland in 2011?

Maryland’s Open Data website includes a small table of popular baby names. It’s based on data from 2011, so it’s a bit out of date, but it does include top-10 lists for several different racial/ethnic groups.

This is cool because New York City does the very same breakdown, and we happen to have the equivalent NYC baby name rankings (2011). So we ought to be able to compare and contrast the two sets of rankings, right?

Yeah, that’s what I thought…until I started looking more closely at Maryland’s data.

According to the SSA, these were the top 10 boy names in Maryland in 2011:

  1. Mason
  2. Jacob
  3. Michael
  4. Ethan
  5. Ryan
  6. William
  7. Alexander
  8. Noah
  9. Daniel
  10. Aiden (tied for 10th)
  11. Jayden (tied for 10th)

But according to the state of Maryland, the top 10 boy names were quite different:

RankOVERALLAsian &
Pacific Isl.		BlackHispanicWhite
1AidenAidenJaidenChristopherLucas
2ChristopherLucasAidenAnthonyMason
3JaydenAlexanderChristopherJohnJackson
4MasonMuhammedCameronAlexanderJacob
5LucasEthanElijahDanielJohn
6JacobNathanJeremyMatthewAiden
7AlexanderJohnMichaelBrianAlexander
8NathanAndrewIsaiahJustinLiam
9MichaelJustinMasonJaidenWilliam
10EthanJacobCalebKevinRyan

It isn’t totally implausible that Aiden and Jayden ranked 1st and 3rd in 2011, but Christopher in 2nd? Maybe if this were a dataset from thirty years ago, but not five years ago. The SSA indicates that Christopher ranked closer to 18th in the state that year.

And what’s with the two different spellings of Jayden/Jaiden?

Plus there are some sizable raw number discrepancies, such as:

  • Aiden: 588 babies (MD data) vs. 281 babies (SSA data for MD)
  • Christopher: 584 babies (MD data) vs. 256 babies (SSA data for MD)
  • Jayden: 498 babies (MD data) vs. 281 babies (SSA data for MD)
  • Mason: 463 babies (MD data) vs. 432 babies (SSA data for MD)

And now the girl names. According to the SSA, these were the top 10 girl names in Maryland in 2011:

  1. Sophia
  2. Olivia
  3. Isabella
  4. Madison
  5. Ava
  6. Emma
  7. Abigail
  8. Chloe
  9. Emily
  10. Elizabeth

According to the state of Maryland, though, the top 10 girl names in the state were these:

RankOVERALLAsian &
Pacific Isl.		BlackHispanicWhite
1SophiaSophiaChloeSophiaSophia
2IsabelChloeLondonEmilyIsabel
3ChloeIsabelLaylaAllisonAbigail
4AvaCaitlin/KateMadisonIsabelOlivia
5MadisonHannahKennedyAshleyAva
6OliviaOliviaAaliyahAngelinaRiley
7EmilySara(h)McKenzieNatalieMadison
8McKenzieAbigailZoe(y)GenesisEmily
9AbigailEmilyPaytonGabrielleMcKenzie
10RileyLillian/LilyTaylorKimberlyChloe

Not only does Isabel magically replace Isabella in the Maryland data, but McKenzie and Riley rank 8th and 10th — even though the SSA says they should be closer to 77th (!) and 28th.

Not to mention the raw number discrepancies, such as:

  • Sophia: 503 babies (MD data) vs. 367 babies (SSA data for MD)
  • McKenzie: 325 babies (MD data) vs. 71 babies (SSA data for MD)
  • Riley: 298 babies (MD data) vs. 118 babies (SSA data for MD)

Intriguing parallels between the MD data and the NYC data do exist. In both locations, Elijah and Isaiah were in the top 10 for African-American boys only, and London, Aaliyah, and Taylor were in the top 10 for African-American girls only.

But if we can’t trust the data, we can’t draw any meaningful conclusions.

Labels like “Caitlin/Kate,” “Sara(h),” “Zoe(y)” and “Lillian/Lily” suggest that variant names were combined here and there. I suspect this is also what happened with Isabel/Isabella, Sophia/Sofia, Aiden, Jayden, MacKenzie, Riley, and maybe even Christopher (perhaps Maryland merged all the “Chris-” names?). What are your thoughts on this?

Source: Maryland’s Top Ten Most Popular Baby Names in 2011 by Race, Ethnicity, and Sex – Open Data Portal – Maryland.gov