“138” boy names: Thelonious, Toussaint, Marcoantonio, Zephyrus, Oluwaferanmi
3 via 147
The following baby names add up to 147, which reduces to three (1+4+7=12; 1+2=3).
“147” girl names: Autumnrose, Tirenioluwa
“147” boy names: Khristopher, Aristotelis
3 via 156
The boy name Ifeanyichukwu adds up to 156, which reduces to three (1+5+6=12; 1+2=3).
3 via 165
The unisex name Oluwatamilore adds up to 165, which reduces to three (1+6+5=12; 1+2=3).
What Does “3” Mean?
First, we’ll look at the significance assigned to “3” by two different numerological sources. Second, and more importantly, ask yourself if “3” or any of the intermediate numbers above have any special significance to you.
“3” (the triad) according to the Pythagoreans:
“The triad has a special beauty and fairness beyond all numbers”
“Anything in Nature which has process has three boundaries (beginning, peak and end – that is, its limits and its middle), and two intervals (that is, increase and decrease), with the consequence that the nature of the dyad and ‘either’ manifests in the triad by means of its limits.”
“They call it ‘friendship’ and ‘peace,’ and further ‘harmony’ and ‘unanimity’: for these are all cohesive and unificatory of opposites and dissimilars. Hence they also call it ‘marriage.'”
“The triad is called ‘prudence’ and ‘wisdom’ – that is, when people act correctly as regards the present, look ahead to the future, and gain experience from what has already happened in the past: so wisdom surveys the three parts of time, and consequently knowledge falls under the triad.”
“We use the triad also for the manifestation of plurality, and say ‘thrice ten thousand’ when we mean ‘many times many,’ and ‘thrice blessed.'”
“3” according to Edgar Cayce:
“Three is the strength of one with the weakness of two” (reading 261-15).
‘Three – again a combination of one and two; this making for strength, making for – in division – that ability of two against one, or one against two. In this strength is seen, as in the Godhead, and is as a greater strength in the whole of combinations” (reading 5751-1).
Does “3” — or do any of the other numbers above (e.g., 21, 57, 66, 111) — have any special significance to you?
Think about your own preferences and personal experiences: lucky numbers, birth dates, music, sports, and so on. Maybe you’re fascinated by the history of old Route 66, 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 3, or any of the other numbers above, please leave a comment!
Source: Theologumena Arithmeticae, attributed to Iamblichus (c.250-c.330).
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%.)
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…
(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…
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
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
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.
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
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
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.
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.)
Maryland’s Open Data website includes a single table of Maryland baby name rankings (2011) broken down by race/ethnic group. This is cool because New York City does the exact 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:
Aiden (tied for 10th)
Jayden (tied for 10th)
But according to the state of Maryland, the top 10 boy names were quite different:
Asian & Pacific Isl.
It isn’t totally implausible that Aiden and Jayden might have 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:
According to the state of Maryland, though, the top 10 girl names in the state were these:
Asian & Pacific Isl.
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?