Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1988 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
1 ➡️
(Org: 1)
(66,378)
0.03 66,378
2 ➡️
(Org: 2)
(56,252)
0.06 56,252
3 ➡️
(Org: 3)
(47,996)
0.04 47,996
4 ➡️
(Org: 4)
(42,939)
0.01 42,939
5 ➡️
(Org: 5)
(35,783)
0 35,783
6 📈
(Org: 7)
(35,524)
0.01 35,524
7 📉
(Org: 6)
(35,362)
0 35,362
8 ➡️
(Org: 8)
(35,013)
0.01 35,013
9 ➡️
(Org: 9)
(32,637)
0 32,637
10 📈
(Org: 11)
(30,920)
0.05 30,920
11 📉
(Org: 10)
(30,328)
0 30,328
12 📈
(Org: 15)
(29,523)
0.18 29,523
13 📈
(Org: 24)
(29,495)
0.39 29,495
14 📉
(Org: 12)
(29,322)
0.01 29,322
15 📈
(Org: 22)
(27,976)
0.3 27,976
16 📉
(Org: 13)
(27,810)
0 27,810
17 📉
(Org: 14)
(27,695)
0.09 27,695
18 📉
(Org: 17)
(24,799)
0.04 24,799
19 ➡️
(Org: 19)
(24,638)
0.18 24,638
20 📉
(Org: 16)
(24,218)
0 24,218
21 📉
(Org: 18)
(23,651)
0 23,651
22 📉
(Org: 20)
(20,299)
0.01 20,299
23 📉
(Org: 21)
(19,913)
0 19,913
24 📈
(Org: 38)
(19,457)
0.39 19,457
25 📉
(Org: 23)
(19,180)
0.02 19,180
26 📈
(Org: 29)
(17,709)
0.1 17,709
27 📉
(Org: 25)
(16,825)
0 16,825
28 📈
(Org: 36)
(16,549)
0.25 16,549
29 📉
(Org: 26)
(16,493)
0 16,493
30 📉
(Org: 27)
(16,409)
0.03 16,409
31 📉
(Org: 28)
(15,895)
0 15,895
32 📉
(Org: 30)
(15,376)
0.01 15,376
33 📉
(Org: 31)
(14,927)
0.03 14,927
34 📈
(Org: 56)
(14,848)
0.51 14,848
35 📈
(Org: 44)
(14,467)
0.3 14,467
36 📉
(Org: 32)
(14,178)
0 14,178
37 📉
(Org: 35)
(13,612)
0.03 13,612
38 📈
(Org: 39)
(13,599)
0.14 13,599
39 📉
(Org: 33)
(13,530)
0.01 13,530
40 📉
(Org: 34)
(13,387)
0 13,387
41 📈
(Org: 53)
(12,407)
0.35 12,407
42 📉
(Org: 37)
(12,116)
0 12,116
43 ➡️
(Org: 43)
(11,546)
0.08 11,546
44 📉
(Org: 42)
(11,490)
0.01 11,490
45 📉
(Org: 41)
(11,428)
0 11,428
46 📉
(Org: 45)
(9,671)
0.01 9,671
47 ➡️
(Org: 47)
(9,445)
0.01 9,445
48 📉
(Org: 46)
(9,435)
- 9,435
49 📉
(Org: 48)
(9,430)
0.01 9,430
50 📈
(Org: 55)
(9,219)
0.14 9,219
51 📉
(Org: 49)
(9,008)
- 9,008
52 ➡️
(Org: 52)
(8,992)
0.06 8,992
53 📉
(Org: 50)
(8,747)
0.01 8,747
54 📉
(Org: 51)
(8,572)
0 8,572
55 📈
(Org: 71)
(8,058)
0.43 8,058
56 📈
(Org: 57)
(7,303)
0.04 7,303
57 📈
(Org: 60)
(6,762)
0.08 6,762
58 ➡️
(Org: 58)
(6,424)
0 6,424
59 📈
(Org: 62)
(5,801)
- 5,801
60 📈
(Org: 63)
(5,733)
0.03 5,733
61 📈
(Org: 67)
(5,508)
0.06 5,508
62 📈
(Org: 64)
(5,442)
0 5,442
63 📈
(Org: 65)
(5,396)
0.02 5,396
64 📈
(Org: 69)
(5,277)
0.06 5,277
65 📈
(Org: 66)
(5,217)
0 5,217
66 📈
(Org: 68)
(5,178)
0 5,178
67 📈
(Org: 70)
(4,986)
0.01 4,986
68 📈
(Org: 75)
(4,902)
0.12 4,902
69 📈
(Org: 73)
(4,862)
0.1 4,862
70 📈
(Org: 83)
(4,629)
0.13 4,629
71 📈
(Org: 72)
(4,493)
0.01 4,493
72 📈
(Org: 77)
(4,399)
0.02 4,399
73 📈
(Org: 78)
(4,388)
0.02 4,388
74 ➡️
(Org: 74)
(4,345)
0 4,345
75 📈
(Org: 76)
(4,329)
- 4,329
76 📈
(Org: 79)
(4,172)
- 4,172
77 📈
(Org: 80)
(4,127)
- 4,127
78 📈
(Org: 81)
(4,109)
0.01 4,109
79 📈
(Org: 84)
(4,047)
0 4,047
80 📈
(Org: 85)
(3,953)
0 3,953
81 📈
(Org: 86)
(3,936)
- 3,936
82 📈
(Org: 87)
(3,880)
0.05 3,880
83 📈
(Org: 92)
(3,823)
0.09 3,823
84 📈
(Org: 88)
(3,706)
0.01 3,706
85 📈
(Org: 89)
(3,629)
- 3,629
86 📈
(Org: 95)
(3,612)
0.08 3,612
87 📈
(Org: 105)
(3,547)
0.18 3,547
88 📈
(Org: 90)
(3,537)
0.01 3,537
89 📈
(Org: 90)
(3,492)
- 3,492
90 📈
(Org: 97)
(3,468)
0.05 3,468
91 📈
(Org: 98)
(3,341)
0.01 3,341
92 📈
(Org: 99)
(3,271)
- 3,271
93 📈
(Org: 100)
(3,252)
0 3,252
94 📈
(Org: 108)
(3,224)
0.13 3,224
95 📈
(Org: 101)
(3,220)
- 3,220
96 📈
(Org: 126)
(3,208)
0.28 3,208
97 📈
(Org: 131)
(3,163)
0.29 3,163
98 📈
(Org: 102)
(3,161)
0.01 3,161
99 📈
(Org: 118)
(3,124)
0.15 3,124
100 📈
(Org: 103)
(3,099)
- 3,099