Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1992 - 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)
(56,182)
0.03 56,182
2 ➡️
(Org: 2)
(45,181)
0.06 45,181
3 ➡️
(Org: 3)
(39,593)
0.05 39,593
4 ➡️
(Org: 4)
(36,412)
0.01 36,412
5 📈
(Org: 12)
(31,175)
0.11 31,175
6 ➡️
(Org: 6)
(31,053)
0.05 31,053
7 📉
(Org: 5)
(30,545)
0 30,545
8 ➡️
(Org: 8)
(29,440)
0.02 29,440
9 📉
(Org: 7)
(29,360)
0.01 29,360
10 📉
(Org: 9)
(28,580)
0 28,580
11 📉
(Org: 10)
(28,439)
0 28,439
12 📈
(Org: 16)
(28,355)
0.13 28,355
13 📉
(Org: 11)
(28,081)
0.01 28,081
14 ➡️
(Org: 14)
(27,518)
0.05 27,518
15 📉
(Org: 13)
(27,094)
0 27,094
16 📈
(Org: 21)
(26,930)
0.2 26,930
17 📉
(Org: 15)
(25,728)
0 25,728
18 📈
(Org: 29)
(24,357)
0.38 24,357
19 📉
(Org: 17)
(24,095)
- 24,095
20 📉
(Org: 18)
(23,981)
0.02 23,981
21 📉
(Org: 19)
(23,176)
- 23,176
22 📉
(Org: 20)
(23,108)
0 23,108
23 📈
(Org: 24)
(21,867)
0.09 21,867
24 📈
(Org: 26)
(21,391)
0.25 21,391
25 📈
(Org: 31)
(21,288)
0.34 21,288
26 📉
(Org: 22)
(20,735)
0 20,735
27 📈
(Org: 28)
(20,394)
0.26 20,394
28 📉
(Org: 23)
(20,118)
0 20,118
29 📉
(Org: 25)
(19,837)
0.01 19,837
30 📈
(Org: 42)
(17,291)
0.36 17,291
31 📉
(Org: 27)
(15,743)
0.03 15,743
32 📈
(Org: 44)
(15,182)
0.33 15,182
33 📉
(Org: 30)
(15,142)
0.04 15,142
34 📉
(Org: 32)
(14,781)
0.05 14,781
35 📉
(Org: 33)
(13,577)
0.01 13,577
36 📉
(Org: 34)
(12,868)
0 12,868
37 📉
(Org: 35)
(11,954)
- 11,954
38 📉
(Org: 36)
(11,935)
0 11,935
39 📉
(Org: 37)
(11,822)
- 11,822
40 📉
(Org: 38)
(11,723)
0.02 11,723
41 📈
(Org: 65)
(11,672)
0.47 11,672
42 📉
(Org: 39)
(11,548)
0.01 11,548
43 📉
(Org: 40)
(11,447)
0.01 11,447
44 📈
(Org: 51)
(11,381)
0.26 11,381
45 📉
(Org: 41)
(11,338)
0 11,338
46 📉
(Org: 43)
(10,470)
- 10,470
47 📈
(Org: 49)
(10,212)
0.14 10,212
48 📈
(Org: 62)
(10,141)
0.38 10,141
49 📈
(Org: 50)
(9,927)
0.14 9,927
50 📉
(Org: 46)
(9,720)
0.05 9,720
51 📉
(Org: 47)
(9,364)
0.03 9,364
52 📉
(Org: 48)
(8,912)
0 8,912
53 📉
(Org: 52)
(8,412)
0.02 8,412
54 📉
(Org: 53)
(7,959)
0.08 7,959
55 📉
(Org: 54)
(7,374)
0 7,374
56 📉
(Org: 55)
(7,003)
- 7,003
57 📉
(Org: 56)
(6,955)
- 6,955
58 ➡️
(Org: 58)
(6,881)
0.01 6,881
59 ➡️
(Org: 59)
(6,738)
0 6,738
60 📈
(Org: 64)
(6,709)
0.08 6,709
61 📉
(Org: 60)
(6,603)
0.02 6,603
62 📈
(Org: 80)
(6,570)
0.3 6,570
63 📉
(Org: 61)
(6,531)
0.01 6,531
64 📉
(Org: 63)
(6,451)
0.04 6,451
65 📈
(Org: 67)
(6,386)
0.08 6,386
66 📈
(Org: 74)
(6,071)
0.17 6,071
67 📉
(Org: 66)
(6,056)
0 6,056
68 📈
(Org: 107)
(5,905)
0.43 5,905
69 📉
(Org: 68)
(5,670)
0.02 5,670
70 📈
(Org: 72)
(5,376)
0.05 5,376
71 📉
(Org: 69)
(5,341)
- 5,341
72 📉
(Org: 70)
(5,233)
- 5,233
73 📈
(Org: 77)
(5,228)
0.07 5,228
74 📈
(Org: 75)
(5,106)
0.03 5,106
75 📈
(Org: 88)
(5,065)
0.16 5,065
76 ➡️
(Org: 76)
(4,923)
0 4,923
77 📈
(Org: 78)
(4,821)
- 4,821
78 📈
(Org: 81)
(4,617)
0 4,617
79 📈
(Org: 82)
(4,552)
0 4,552
80 📈
(Org: 91)
(4,449)
0.07 4,449
81 📈
(Org: 84)
(4,403)
0 4,403
82 📈
(Org: 126)
(4,389)
0.4 4,389
83 📈
(Org: 86)
(4,381)
0.01 4,381
84 📈
(Org: 85)
(4,366)
0.01 4,366
85 📈
(Org: 87)
(4,292)
- 4,292
86 📈
(Org: 97)
(4,286)
0.11 4,286
87 📈
(Org: 89)
(4,244)
0 4,244
88 📈
(Org: 90)
(4,225)
0.01 4,225
89 📈
(Org: 92)
(4,176)
0.02 4,176
90 📈
(Org: 105)
(4,162)
0.14 4,162
91 📈
(Org: 93)
(4,111)
0.01 4,111
92 📈
(Org: 95)
(3,934)
0.01 3,934
93 📈
(Org: 106)
(3,914)
0.14 3,914
94 ➡️
(Org: 94)
(3,912)
- 3,912
95 📈
(Org: 96)
(3,859)
- 3,859
96 📈
(Org: 99)
(3,857)
0.04 3,857
97 📈
(Org: 103)
(3,790)
0.05 3,790
98 📈
(Org: 100)
(3,690)
0.01 3,690
99 📈
(Org: 102)
(3,664)
0.01 3,664
100 📈
(Org: 101)
(3,645)
- 3,645