Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1991 - 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)
(62,806)
0.03 62,806
2 ➡️
(Org: 2)
(49,999)
0.06 49,999
3 ➡️
(Org: 3)
(43,662)
0.05 43,662
4 ➡️
(Org: 4)
(41,463)
0.01 41,463
5 ➡️
(Org: 5)
(31,541)
- 31,541
6 ➡️
(Org: 6)
(31,133)
0.01 31,133
7 ➡️
(Org: 7)
(30,631)
0 30,631
8 📈
(Org: 12)
(30,453)
0.1 30,453
9 📉
(Org: 8)
(30,434)
0 30,434
10 📉
(Org: 9)
(30,010)
0.01 30,010
11 📉
(Org: 10)
(29,171)
0.05 29,171
12 📈
(Org: 20)
(28,855)
0.2 28,855
13 📉
(Org: 11)
(27,630)
0 27,630
14 📈
(Org: 27)
(27,402)
0.38 27,402
15 ➡️
(Org: 15)
(27,272)
0.05 27,272
16 📉
(Org: 14)
(27,184)
0.01 27,184
17 📉
(Org: 13)
(26,841)
0 26,841
18 📉
(Org: 16)
(25,680)
0.02 25,680
19 📉
(Org: 17)
(25,252)
0 25,252
20 📉
(Org: 18)
(24,453)
0 24,453
21 📈
(Org: 22)
(23,957)
0.11 23,957
22 📉
(Org: 19)
(23,901)
0 23,901
23 📈
(Org: 25)
(23,520)
0.23 23,520
24 📈
(Org: 30)
(22,033)
0.32 22,033
25 📉
(Org: 21)
(21,640)
0 21,640
26 📉
(Org: 24)
(20,761)
0.09 20,761
27 📉
(Org: 23)
(20,454)
0.01 20,454
28 📈
(Org: 40)
(17,906)
0.38 17,906
29 📉
(Org: 26)
(17,674)
0 17,674
30 📉
(Org: 28)
(17,236)
0.03 17,236
31 📉
(Org: 29)
(16,986)
0.06 16,986
32 📈
(Org: 42)
(15,186)
0.31 15,186
33 📉
(Org: 31)
(14,823)
0.04 14,823
34 📉
(Org: 32)
(14,172)
0 14,172
35 📉
(Org: 33)
(14,024)
0.01 14,024
36 📈
(Org: 46)
(13,548)
0.28 13,548
37 📈
(Org: 58)
(13,338)
0.48 13,338
38 📈
(Org: 45)
(13,260)
0.25 13,260
39 📉
(Org: 34)
(12,567)
0 12,567
40 📉
(Org: 35)
(12,533)
0.01 12,533
41 📉
(Org: 36)
(12,323)
0 12,323
42 📉
(Org: 37)
(11,728)
- 11,728
43 📉
(Org: 39)
(11,347)
0.01 11,347
44 📉
(Org: 38)
(11,336)
- 11,336
45 📈
(Org: 47)
(11,281)
0.14 11,281
46 📈
(Org: 59)
(10,973)
0.37 10,973
47 📉
(Org: 43)
(10,779)
0.03 10,779
48 📉
(Org: 44)
(10,149)
0 10,149
49 ➡️
(Org: 49)
(9,858)
0.05 9,858
50 📈
(Org: 51)
(9,833)
0.15 9,833
51 📉
(Org: 48)
(9,447)
- 9,447
52 📉
(Org: 50)
(9,282)
0.02 9,282
53 📉
(Org: 52)
(8,082)
0.01 8,082
54 📉
(Org: 53)
(7,682)
- 7,682
55 ➡️
(Org: 55)
(7,672)
0.02 7,672
56 📉
(Org: 54)
(7,588)
0 7,588
57 📉
(Org: 56)
(7,486)
0.01 7,486
58 📈
(Org: 62)
(7,220)
0.07 7,220
59 📉
(Org: 57)
(7,189)
0.01 7,189
60 ➡️
(Org: 60)
(6,843)
- 6,843
61 📈
(Org: 64)
(6,706)
0.07 6,706
62 📈
(Org: 63)
(6,701)
0 6,701
63 📈
(Org: 98)
(6,695)
0.42 6,695
64 📈
(Org: 66)
(6,469)
0.09 6,469
65 ➡️
(Org: 65)
(6,167)
0.01 6,167
66 📈
(Org: 67)
(5,995)
0.05 5,995
67 📈
(Org: 78)
(5,887)
0.17 5,887
68 📈
(Org: 69)
(5,769)
0.04 5,769
69 📉
(Org: 68)
(5,572)
- 5,572
70 📈
(Org: 75)
(5,508)
0.07 5,508
71 📉
(Org: 70)
(5,454)
0 5,454
72 📈
(Org: 73)
(5,453)
0.02 5,453
73 📉
(Org: 72)
(5,330)
- 5,330
74 📈
(Org: 76)
(5,069)
- 5,069
75 📈
(Org: 77)
(4,971)
0 4,971
76 📈
(Org: 90)
(4,782)
0.14 4,782
77 📈
(Org: 91)
(4,679)
0.13 4,679
78 📈
(Org: 88)
(4,668)
0.11 4,668
79 ➡️
(Org: 79)
(4,651)
0.01 4,651
80 ➡️
(Org: 80)
(4,602)
- 4,602
81 ➡️
(Org: 81)
(4,556)
0.01 4,556
82 📈
(Org: 83)
(4,502)
0.03 4,502
83 📉
(Org: 82)
(4,466)
0.01 4,466
84 📈
(Org: 85)
(4,335)
- 4,335
85 📈
(Org: 86)
(4,291)
0 4,291
86 📈
(Org: 87)
(4,252)
0.02 4,252
87 📈
(Org: 96)
(4,236)
0.08 4,236
88 📈
(Org: 89)
(4,176)
0.01 4,176
89 📈
(Org: 92)
(3,998)
0.01 3,998
90 📈
(Org: 93)
(3,921)
- 3,921
91 📈
(Org: 94)
(3,913)
0.01 3,913
92 📈
(Org: 97)
(3,876)
0 3,876
93 📈
(Org: 139)
(3,875)
0.41 3,875
94 📈
(Org: 99)
(3,819)
0 3,819
95 📈
(Org: 100)
(3,782)
0.01 3,782
96 📈
(Org: 105)
(3,746)
0.05 3,746
97 📈
(Org: 133)
(3,679)
0.33 3,679
98 📈
(Org: 101)
(3,670)
- 3,670
99 📈
(Org: 107)
(3,660)
0.11 3,660
100 📈
(Org: 102)
(3,650)
- 3,650