How popular is the baby name Stacy 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 Stacy.
The graph will take a few moments to load. (Don't worry, it shouldn't take 9 months!) If it's taking too long, try reloading the page.
Which boy names increased and decreased the most in popularity from 2013 to 2014?
Below are two versions of each list. My version looks at raw number differences and takes all 13,977 boy names on the 2014 list into account. The SSA’s version looks at ranking differences and covers the top 1,000 boy names (roughly).
Here’s what the SSA says about the rise of Bode: “[It] might have had something to do with the Winter Olympics in early 2014, where Bode Miller continued his outstanding alpine skiing career by collecting his sixth Olympic medal.”
And on the rise of Axl: “[It’s] a nod to both rock legend Axl Rose of Guns N’ Roses and Axl Jack Duhamel, son of Stacy Ann “Fergie” Ferguson and Josh Duhamel.”
Jase, last year’s biggest raw number increase, is now 8th on the list of decreases. Mason, which topped the list of raw number increases two years in a row (2010 and 2011), is now 18th on the list of decreases. (It was 3rd in 2013.) And Jayden, the trendy name that shot up the charts to become the 4th most popular baby name in the nation in 2010 and 2011, has since fallen to 15th.
Finally, here are the big winners and losers from the last few years:
2013: Jase/Jayceon (biggest increases) and Ethan/Austyn (biggest decreases)
2012: Liam/Major (biggest increases) and Jacob/Braeden (biggest decreases)
2011: Mason (biggest increase) and Jacob (biggest decrease)
2010: Mason (biggest increase) and Joshua (biggest decrease)
On the girls’ side, Ariana, Penelope, Skylar and Nora (previously ranked 54th, 56th, 73rd and 82nd) are new to the top 50. They replaced Hailey, Kaylee, Alexis and Nevaeh (now ranked 51st, 52nd, 64th and 65th).
On the boys’s side, Oliver and Aaron (previously ranked 52nd and 51st) are new to the top 50. They replaced Brayden and Gavin (now ranked 62nd and 60th).
The biggest jumps within the top 50 were Scarlett (+12 spots), Sebastian (+11) and Aria (+9).
The biggest drops within the top 50 were Aaliyah (-10), Christian (-7), Ryan (-7) and Nathan (-7).
Here’s more from the SSA’s press release:
Aranza jumped an amazing 3,625 spots on the girls’ side to number 607, from number 4,232 in 2013. The Latin soap opera “ Por siempre mi amor” was aired on Univision from 2013 to 2015. The show featured a young lead character named Aranza, and obviously had its effect on naming trends last year.
Bode raced ahead 645 spots, from number 1,428 in 2013 to number 783 in 2014. This might have had something to do with the Winter Olympics in early 2014, where Bode Miller continued his outstanding alpine skiing career by collecting his sixth Olympic medal. Not only is he the most successful male American alpine skier of all time, he is considered by many to be an American hero.
The second fastest riser for boys was Axl, a nod to both rock legend Axl Rose of Guns N’ Roses and Axl Jack Duhamel, son of Stacy Ann “Fergie” Ferguson and Josh Duhamel. For girls, Montserrat, the lead character in a very popular Latin soap opera, was number two, joined by another Monserrat (spelled just one letter differently) at number three.
Vicki Betts, a librarian at the University of Texas, put together an interesting list of female names using the 1860 census records for Smith County in East Texas.
Here’s some background information, per Vicki:
Ninety per cent of the people had emigrated to the county within the preceding ten years, 95.8% born in the states of the future Confederacy, 1.8% in the border states, 1.6% in northern states, and 0.8% in foreign countries. Therefore, these name should be fairly representative of Southern female names in general, with the exception of Alamo, Texas, Texana, etc.
And now the names! Here are the names that appeared most frequently on the 1860 Smith County census:
In a comment on last week’s twin names post, Erin said she’d “love to see some kind of analysis on what percentage of twins are given names that are/aren’t matchy-matchy.”
I do know of one analysis like this. It’s 50 years old, so it’s not exactly up-to-date, but these were the findings:
79% of twins overall had similar names
90% of identical twins had similar names
75% of fraternal twins had similar names
Name researcher Robert Plank published “Names of Twins” in the journal Names way back in 1964. This study was mentioned by H. Edward Deluzain in the essay “Names and Personal Identity” in 1996:
Robert Plank, who studied names of twins, discovered that the names fit into three patterns and that the names in two of the patterns show unmistakable similarity. The most common pattern, which occurred in 62% of the cases Plank studied, was the use of names that begin with the same letter. This included such names as Richard and Robert (Ricky and Robby), Joseph and Judith (Joey and Judy), Louise and Louisa, as well as such names as Paul and Paula and Patrick and Patricia. The second pattern involved names that had different first letters but where similar in sound, rhythm, or rhyme. Such sets of names as Tracy and Stacy, Billy Joe and Penny Sue accounted for 17% of the sets of names. Finally, Plank found that only 21% of the sets of names were different enough from one another to be considered dissimilar. Identical twins, who are always of the same sex and who look so much alike people have trouble telling them apart, fare worse than fraternal twins in the similarity of their names. For, as Plank found, almost 90% of the identical twins had similar names compared to roughly only 75% of the fraternals.
Have any of you seen more recent research on similar/dissimilar names for twins?
This website or its third-party tools process personal data.In case of sale of your personal information, you may opt out by using the link Do not sell my personal information.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.