AgeName

Fad Names: 50 Names That Boomed and Faded Fast

Some names have a moment. Each name here got most of its babies in a single 15-year stretch, so the people who have it are close to the same age. Brittany is the most extreme: 87% of all the babies ever given the name were born within 15 years of each other.

That's why these names can tell you someone's age within a few years. Meet a Latoya and you can guess they were born around 1984.

Fad Names: 50 Names That Boomed and Faded Fast
#NameBorn in 15 yearsPeak yearAliveAverage age
1Brittany87%1989353K35
2Latoya86%198444K43
3Debbie83%1959158K64
4Brittney82%198980.5K34
5Debra82%1955455K66
6Aidan78%2003119K19
7Tammy78%1963299K58
8Tammie78%196331.7K58
9Chelsey77%199230.9K33
10Misty76%197780.7K46
11Kim75%1960179K63
12Kaitlin75%199556.3K31
13Chelsea74%1992160K32
14Deborah73%1954602K66
15Kelsey73%1992152K31
16Trinity73%200487.2K19
17Jada73%200566.7K23
18Tim72%196060.6K63
19Tami72%195933.9K58
20Jalen72%200041.8K22
21Brandy71%1981104K43
22Jeff71%196188.8K60
23Vickie70%195688.9K66
24Lori70%1963304K58
25Cathy70%1958139K65
Fad Names: 50 Names That Boomed and Faded Fast, continued
#NameBorn in 15 yearsPeak yearAliveAverage age
26Tracey70%197085.9K55
27Patti70%195834.8K67
28Haley69%2000157K27
29Destiny69%2000150K24
30Whitney69%198699K36
31Meagan69%199040.6K35
32Kathy69%1958272K65
33Diamond69%199935.3K26
34Breanna69%199681.1K27
35Mikayla68%199856K22
36Dominique68%199272.1K33
37Caitlin68%1988110K32
38Tonya68%1972111K53
39Krystal68%198573K37
40Jakob68%200131.3K23
41Sierra68%199899.2K26
42Tricia68%197137.4K51
43Terri68%1959126K61
44Ashley67%1987852K33
45Braden67%200545.4K23
46Taylor67%1993431K27
47Lisa67%1965872K56
48Lindsay67%1983129K38
49Tracie67%197030.1K53
50Kaitlyn67%2000164K26

How this list works

Names with 30,000+ estimated alive that peaked by 2005 and are now given at under 30% of their peak rate, ranked by the share of all babies ever given the name who were born in its busiest 15 years. Ages are estimates for people alive in 2026, from Social Security baby-name records and SSA life tables. How we calculate this

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