Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1965 - 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)
(83,912)
0.03 83,912
2 ➡️
(Org: 2)
(76,136)
0.06 76,136
3 ➡️
(Org: 3)
(67,846)
0 67,846
4 ➡️
(Org: 4)
(67,679)
0 67,679
5 ➡️
(Org: 5)
(63,121)
0 63,121
6 📈
(Org: 14)
(42,626)
0.34 42,626
7 ➡️
(Org: 7)
(41,296)
0.07 41,296
8 📉
(Org: 6)
(40,169)
0 40,169
9 📈
(Org: 10)
(38,765)
0.24 38,765
10 📉
(Org: 8)
(36,845)
0 36,845
11 📉
(Org: 9)
(31,798)
0.01 31,798
12 📈
(Org: 19)
(30,313)
0.19 30,313
13 📉
(Org: 11)
(28,892)
0.01 28,892
14 📉
(Org: 12)
(28,356)
0 28,356
15 📉
(Org: 13)
(28,335)
0.01 28,335
16 📉
(Org: 15)
(25,951)
0.02 25,951
17 ➡️
(Org: 17)
(25,105)
0.01 25,105
18 ➡️
(Org: 18)
(25,043)
0.02 25,043
19 📉
(Org: 16)
(24,926)
0 24,926
20 ➡️
(Org: 20)
(23,509)
0 23,509
21 ➡️
(Org: 21)
(22,711)
0 22,711
22 ➡️
(Org: 22)
(20,339)
0 20,339
23 📈
(Org: 25)
(19,433)
0.13 19,433
24 📉
(Org: 23)
(18,342)
0.01 18,342
25 📉
(Org: 24)
(17,641)
0 17,641
26 ➡️
(Org: 26)
(16,033)
- 16,033
27 ➡️
(Org: 27)
(15,296)
0 15,296
28 📈
(Org: 29)
(14,411)
- 14,411
29 📈
(Org: 30)
(13,934)
- 13,934
30 📈
(Org: 31)
(12,975)
0 12,975
31 📈
(Org: 32)
(12,862)
0.01 12,862
32 📈
(Org: 33)
(11,099)
0 11,099
33 📈
(Org: 34)
(10,736)
0.01 10,736
33 📈
(Org: 35)
(10,736)
0.01 10,736
35 📈
(Org: 36)
(10,433)
0.04 10,433
36 📈
(Org: 69)
(10,175)
0.52 10,175
37 ➡️
(Org: 37)
(9,674)
- 9,674
38 ➡️
(Org: 38)
(9,436)
0 9,436
39 ➡️
(Org: 39)
(9,412)
0 9,412
40 📈
(Org: 41)
(9,332)
0.03 9,332
41 📈
(Org: 70)
(9,236)
0.47 9,236
42 📉
(Org: 40)
(9,120)
0 9,120
43 📉
(Org: 42)
(8,928)
0.01 8,928
44 ➡️
(Org: 44)
(8,499)
0.03 8,499
45 📉
(Org: 43)
(8,323)
0 8,323
46 ➡️
(Org: 46)
(8,096)
0.03 8,096
47 📉
(Org: 45)
(8,062)
0 8,062
48 📈
(Org: 54)
(7,856)
0.26 7,856
49 📈
(Org: 57)
(7,092)
0.2 7,092
50 📉
(Org: 48)
(7,022)
0.03 7,022
51 📉
(Org: 49)
(6,775)
0.05 6,775
52 ➡️
(Org: 52)
(6,700)
0.11 6,700
53 📈
(Org: 68)
(6,601)
0.25 6,601
54 📈
(Org: 85)
(6,426)
0.32 6,426
55 📉
(Org: 50)
(6,325)
- 6,325
56 📈
(Org: 102)
(6,060)
0.46 6,060
57 📉
(Org: 51)
(6,037)
- 6,037
58 📈
(Org: 60)
(5,997)
0.09 5,997
59 📉
(Org: 53)
(5,864)
0 5,864
60 📉
(Org: 56)
(5,807)
0.02 5,807
61 📉
(Org: 58)
(5,796)
0.03 5,796
62 📉
(Org: 55)
(5,685)
- 5,685
63 📈
(Org: 64)
(5,670)
0.07 5,670
64 📉
(Org: 59)
(5,613)
- 5,613
65 📈
(Org: 81)
(5,498)
0.18 5,498
66 📉
(Org: 61)
(5,472)
0.01 5,472
67 📉
(Org: 62)
(5,466)
0.01 5,466
68 📉
(Org: 66)
(5,455)
0.09 5,455
69 📈
(Org: 73)
(5,451)
0.13 5,451
70 📈
(Org: 74)
(5,177)
0.09 5,177
71 📉
(Org: 65)
(5,126)
0 5,126
72 📈
(Org: 75)
(5,022)
0.07 5,022
73 📈
(Org: 107)
(4,956)
0.37 4,956
74 📉
(Org: 67)
(4,952)
0 4,952
75 📉
(Org: 72)
(4,917)
0.03 4,917
76 📉
(Org: 71)
(4,853)
0 4,853
77 ➡️
(Org: 77)
(4,817)
0.03 4,817
78 📉
(Org: 76)
(4,768)
0.02 4,768
79 📈
(Org: 80)
(4,735)
0.03 4,735
80 📈
(Org: 129)
(4,616)
0.48 4,616
81 📈
(Org: 91)
(4,501)
0.14 4,501
82 ➡️
(Org: 82)
(4,484)
- 4,484
83 📈
(Org: 84)
(4,439)
0.01 4,439
84 📉
(Org: 83)
(4,423)
0.01 4,423
85 📈
(Org: 105)
(4,413)
0.28 4,413
86 ➡️
(Org: 86)
(4,341)
0 4,341
87 📈
(Org: 88)
(4,122)
0.01 4,122
88 📈
(Org: 106)
(4,074)
0.23 4,074
89 ➡️
(Org: 89)
(3,965)
- 3,965
90 ➡️
(Org: 90)
(3,961)
0 3,961
91 📈
(Org: 93)
(3,855)
0.01 3,855
92 ➡️
(Org: 92)
(3,836)
- 3,836
93 📈
(Org: 94)
(3,813)
0 3,813
94 📈
(Org: 95)
(3,810)
0.01 3,810
95 📈
(Org: 96)
(3,800)
0.01 3,800
96 📈
(Org: 97)
(3,740)
0.01 3,740
97 📈
(Org: 98)
(3,683)
- 3,683
98 📈
(Org: 112)
(3,609)
0.2 3,609
99 ➡️
(Org: 99)
(3,547)
0 3,547
100 📈
(Org: 101)
(3,520)
0.07 3,520