How popular is the baby name Lori 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 Lori.

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Popularity of the baby name Lori


Posts that mention the name Lori

Could we maximize hurricane relief donations by choosing better names?

hurricane

In 2008, psychologists Jesse Chandler, Tiffany M. Griffin, and Nicholas Sorensen published a study showing that people who shared an initial with a hurricane name were over-represented among hurricane relief donors. So, for instance, people with R-names donated significantly more than other people to Hurricane Rita relief efforts. (This is an offshoot of the name-letter effect.)

A few years later, marketing professor Adam Alter came up with an interesting idea: Why not use this knowledge to try to maximize donations to hurricane relief efforts? He explained:

In the United States, for example, more than 10% of all males have names that begin with the letter J-names like James and John (the two most common male names), Joseph and Jose, Jason, and Jeffrey. Instead of beginning just one hurricane name with the letter J each year (in 2013, that name will be Jerry), the World Meteorological Organization could introduce several J names each year. Similarly, more American female names begin with M than any other letter — most of them Marys, Marias, Margarets, Michelles, and Melissas — so the Organization could introduce several more M names to each list.

I think his idea is a good one overall. It wouldn’t cost much to implement, but could potentially benefit many hurricane victims.

I would go about choosing the names differently, though.

Repeating initials multiple times within a single hurricane season would be unwise, for instance. It would cause confusion, which would undermine the reason we started naming hurricanes in the first place (“for people easily to understand and remember” them, according to the WMO).

But optimizing the name lists using data on real-life usage? That would be smart.

I might even try optimizing based on demographics. Baby boomers are particularly generous donors, so maybe we should choose letters (or even names) with that generation in mind?

The baby boomers were born from the mid-1940s to the mid-1960s, so here are the top initials for babies born in 1956 (60 years ago):

Top first letters of baby names, 1956, U.S.

Here are two possible lists of hurricane names using the above letters. I stuck with the WMO’s conventions: 21 names total, alternating genders, and no retired names.

Mid-century styleModern style
Janice
Danny
Rebecca
Martin
Cindy
Scott
Lori
Kenneth
Brenda
Patrick
Theresa
Gerald
Angela
Eugene
Wanda
Vincent
Nancy
Howard
Francine
Ira
Olga
Jasmine
Dominic
Rylee
Matthew
Charlotte
Sebastian
Lucy
Kingston
Bella
Preston
Trinity
Grayson
Ava
Eli
Willow
Victor
Nora
Hunter
Fiona
Isaac
Olivia

And here’s another point: we wouldn’t want to assign these names in order. While the official hurricane season lasts a full six months — June to November — most hurricane activity happens in August, September and October:

Atlantic Hurricane and Tropical Storm Activity (NOAA)

To really optimize, we’d want to reserve the top initials/names for the stronger mid-season hurricanes, which tend to do the most damage. So we could start the season using mid-list names, then jump to the top of the list when August comes around and go in order from that point forward (skipping over any mid-list names that had already been used).

What are your thoughts on assigning hurricane names with disaster relief in mind? Do you think it could work? What strategy/formula would you use to select relief-optimized hurricane names?

P.S. While J, D and R were the top initials 60 years ago, today’s top initials are A, J and M.

Sources:

Top image (Hurricane Elena) by NASA, second image by Nancy, third image (Atlantic Hurricane and Tropical Storm Activity) by NOAA

Quotes about place names

Stairs to Wat Phnom (Phnom Penh, Cambodia)
Wat Phnom (in Phnom Penh)

From a 2008 article called “Khmer Legends” in The Cambodia Daily:

[T]he municipality has recently erected a statue of the fabled Yeay Penh, the woman who is credited with giving Phnom Penh its landmark hill.

As the story goes, in the 1370s, Yeay Penh asked her neighbors to raise the mound in front of her home so as to build on top of it a sanctuary to house the four statues of Buddha she had found inside a floating tree trunk. That mound, or phnom, is credited with giving Phnom Penh its name.

[…]

“The problem is we have no proof,” said Ros Chantrabot, a Cambodian historian and vice president of the Royal Academy of Cambodia.

“In all likelihood she did exist or, at the very least, the tale is based on an actual person, since Penh’s hill, or Phnom Penh, is there for all to see,” he said.

[“Yeah Penh” is the equivalent of “Grandmother Penh.” The word yeay in Cambodian is a title used to refer to and/or address an older female.]

From the book From Red Hot to Monkey’s Eyebrow: Unusual Kentucky Place Names (1997) by Robert M. Rennick:

Kentucky’s Mousie, still a post office serving many families in the Jones Fork area of northern Knott County, wasn’t named for a mouse at all but for a young woman — named Mousie. She was then (1916) the twenty-year-old daughter of Clay Martin, a large landowner in that area.

Why would a girl be named Mousie? Why not? Mousie is not at all an unusual given name in eastern Kentucky. Since the Civil War, scores of young Mousies throughout the region have borne this name. Mousie Martin, who later became Mrs. Mart Gibson, used to tell us that she was so named at the suggestion of her grandfather, for she had an older sister named Kitty and he rather liked the idea of having two little varmints in the family.

From a 2016 CTV News article about the Ontario town of Kitchener (formerly known as Berlin):

Meanwhile, 100 years after it was nixed, the Berlin name is enjoying a bit of a minor renaissance in Kitchener.

Two businesses prominently featuring the name have opened in recent months: The Berlin restaurant and the Berlin Bicycle Café.

Andrea Hennige, the restaurant manager at The Berlin, says the name was chosen with an eye toward the area’s history.

“It’s a nod to the people who settled the area, who probably laid the bricks in this building,” she said in an interview.

[Town residents voted to drop the name Berlin in 1916, during WWI. The name change ballot included the following options: Adanac (Canada spelled backwards), Benton, Brock, Corona, Keowana, and Kitchener.]

From a U.S. Forest Service webpage explaining the origin of the name of Lolo National Forest in western Montana:

“Lolo” probably evolved from “Lou-Lou”, a pronunciation of “Lawrence,” a French-Canadian fur trapper killed by a grizzly bear and buried at Grave Creek.

The first written evidence of the name “Lolo” appears in 1831 when fur trader John Work refers in his journal to Lolo Creek as “Lou Lou.”

In an 1853 railroad survey and map, Lieutenant John Mullan spelled the creek and trail “Lou Lou.” However, by 1865 the name was shortened to Lolo and is currently the name of a national forest, town, creek, mountain peak, mountain pass and historic trail in west central Montana.

From a 2020 article about the most common town names in America:

Many of the 18 places in the United States called Waverly are named after Sir Walter Scott’s 1814 novel, Waverley. Not only is Waverly, Nebraska […] named after the novel, but many of the city’s street names were also taken from characters within it.

[Here are more of the places named Waverly.]

From a 2019 Summit Daily article about the town of Dillon, Colorado:

[Dillon] was not named after a prospector named Tom Dillon who got lost in the woods, as has been a common oral tradition. Rather, the town was named after Sidney Dillon, a powerful railroad executive who became president of the Union Pacific railroad four months before the town was established. The entire point of naming the town Dillon was to somehow appeal to Sidney Dillon’s vanity and persuade him to build a railroad through the town.

But as it turned out, the railroad didn’t wind up going through Dillon or winding along the Snake River. Instead, it went through Tenmile Canyon and the town of Frisco — also named to flatter a railroad company, the St. Louis-San Francisco Railway Co., in a bid to get them to build their next line through town.

From a 2019 article about the Louisiana town of Westwego:

[Lori] Guin runs the Westwego Historical Museum, which is actually housed in the city’s first general store. She likes to tell the story about how the city got its name.

“Actually we had a train depot station. The conductor would bring his passengers to the west, so he would say,” West we go!” That’s how Westwego got its name,” Guin said.

For more quotes about names, check out the name quotes category.

Image: Adapted from 02-Wat Phnom-nX-1 by PsamatheM under CC BY-SA 4.0.

[Latest update: Oct. 2023]

Popular girl names: Biblical vs. Non-Biblical

The ratio of Biblical names to non-Biblical names in the girl’s top 20 is about the same today as it was 100 years ago, though the ratio did change a bit mid-century.

(In contrast, there’s been a steady increase in the number of Biblical-origin names among the top boy names.)

Here’s the color-coded table — Biblical names are in the yellow cells, non-Biblical names are in the green cells, and several borderline names (which I counted as non-Biblical) are in the orange cells:

Popular girl names: Biblical vs. non-Biblical.
Popular girl names over time: Biblical (yellow) vs. non-Biblical. Click to enlarge.
  • Biblical names: Abigail, Anna, Betty (via Elizabeth), Chloe, Danielle, Deborah, Debra, Elizabeth, Hannah, Isabella (via Elizabeth), Janet, Jean, Joan, Judith, Judy, Julie, Lillian (via Elizabeth), Lisa (via Elizabeth), Lois, Marie, Marilyn, Mary, Mia (via Maria), Michelle, Nancy (via Anne), Rachel, Rebecca, Ruth, Sandra (via Alexander), Sarah, Sharon, Stephanie, Susan, Tammy (via Tamar/Tamara)
  • Non-Biblical names: Alexis, Alice, Alyssa, Amanda, Amber, Amelia, Amy, Angela, Ashley, Aubrey, Avery, Barbara, Brenda, Brianna, Brittany, Carol, Carolyn, Catherine, Charlotte, Christina, Christine, Crystal, Cynthia, Diane, Donna, Doris, Dorothy, Edna, Ella, Emily, Emma, Evelyn, Florence, Frances, Gladys, Grace, Harper, Heather, Helen, Irene, Jennifer, Joyce, Karen, Kathleen, Kayla, Kelly, Kimberly, Laura, Lauren, Linda, Lori, Louise, Madison, Margaret, Marjorie, Megan, Melissa, Mildred, Natalie, Nicole, Olivia, Pamela, Patricia, Rose, Shannon, Shirley, Sofia, Sophia, Taylor, Tiffany, Victoria, Virginia
  • Borderline names:
    • Ava (could be based on the Germanic root avi or the Biblical name Eve)
    • Jessica (literary invention, but Shakespeare may have based it on the Biblical name Iscah)
    • Samantha (possibly inspired by the Biblical name Samuel)

Again, feels pretty weird to put overtly Christian names like Christina and Christine in the non-Biblical category, but oh well.

Here are the year-by-year tallies:

YearTop 20 names
given to…
# Biblical# Non-Biblical
191431% of baby girls6 (30%)14 (70%)
192431% of baby girls7 (35%)13 (65%)
193432% of baby girls9 (45%)11 (55%)
194435% of baby girls8 (40%)12 (60%)
195434% of baby girls9 (45%)11 (55%)
196424% of baby girls9 (45%)11 (55%)
197424% of baby girls8 (40%)12 (60%)
198426% of baby girls6 (30%)14 (70%)
199419% of baby girls6 (30%)14 (70%)
200414% of baby girls6 (30%)14 (70%)
201412% of baby girls5 (25%)15 (75%)

Just like with the boy names, though, there’s a big difference between the 1914 and 2014 sample sizes — 31% and 12%. So let’s also look at the 2014 top 100, which covers 31% of female births.

By my count, last year’s top 100 girl names were about a quarter Biblical, three-quarters non-Biblical:

Biblical names (27)Non-Biblical/Borderline names (73)
Isabella (via Elizabeth), Mia (via Maria), Abigail, Elizabeth, Chloe, Addison (via Adam), Lillian (via Elizabeth), Hannah, Anna, Leah, Gabriella, Sadie (via Sarah), Sarah, Annabelle, Madelyn (via Magdalene), Lucy (via Lucius), Alexa (via Alexander), Genesis, Naomi, Eva, Lydia, Julia, Khloe, Madeline (via Magdalene), Alexandra, Gianna (via Joanna), Isabelle (via Elizabeth)Emma, Olivia, Sophia, Ava, Emily, Madison, Charlotte, Harper, Sofia, Avery, Amelia, Evelyn, Ella, Victoria, Aubrey, Grace, Zoey, Natalie, Brooklyn, Lily, Layla, Scarlett, Aria, Zoe, Samantha, Audrey, Ariana, Allison, Savannah, Arianna, Camila, Penelope, Claire, Aaliyah, Riley, Skylar, Nora, Hailey, Kaylee, Paisley, Kennedy, Ellie, Peyton, Caroline, Serenity, Aubree, Alexis, Nevaeh, Stella, Violet, Mackenzie, Bella, Autumn, Mila, Kylie, Maya, Piper, Alyssa, Taylor, Eleanor, Melanie, Faith, Katherine, Brianna, Ashley, Ruby, Sophie, London, Lauren, Alice, Vivian, Hadley, Jasmine

Faith, Grace, Angela, Nevaeh, Natalie…all technically non-Biblical.

27%-73% is remarkably similar to both 25%-75% (smaller 2014 sample) and 30%-70% (1914 sample).

So here’s the question of the day: If you had to choose all of your children’s names from either one group or the other — Biblical names or non-Biblical names — which group would you stick to, and why?

Interesting baby name analysis

I only recently noticed that Behind the Name, one of my favorite websites for baby name definitions, has a page called United States Popularity Analysis — a “computer-created analysis of the United States top 1000 names for the period 1880 to 2012.”

The page has some interesting top ten lists. Here are three of them:

Most Volatile

Boy NamesGirl Names
1. Elvis
2. Brooks
3. Santiago
4. Lincoln
5. Ernie
6. Wyatt
7. Quincy
8. Rogers
9. Alec
10. Dexter
1. Juliet
2. Lea
3. Justine
4. Martina
5. Felicia
6. Delilah
7. Selina
8. Lonnie
9. Magdalena
10. Katy

Biggest Recoveries

Boy NamesGirl Names
1. Silas
2. Isaiah
3. Caleb
4. Emmett
5. Jordan
6. Josiah
7. Harrison
8. Ezra
9. Jason
10. Jesus
1. Ella
2. Stella
3. Sadie
4. Sophie
5. Isabella
6. Lily
7. Hannah
8. Isabelle
9. Sophia
10. Lilly

Biggest Flash-in-the-Pans

Boy NamesGirl Names
1. Dewey
2. Woodrow
3. Dale
4. Barry
5. Rick
6. Greg
7. Roosevelt
8. Shannon
9. Kim
10. Darrin
1. Debra
2. Lori
3. Tammy
4. Pamela
5. Tracy
6. Cheryl
7. Beverly
8. Dawn
9. Diane
10. Kathy

I wonder what the formulas were. I’d love to try the same analysis on the SSA’s full list, using raw numbers instead of rankings. Wonder how much overlap there’d be…