Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1966 - 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)
(82,757)
0.03 82,757
2 📈
(Org: 4)
(69,295)
0.06 69,295
3 📉
(Org: 2)
(66,438)
0 66,438
4 📉
(Org: 3)
(65,168)
0 65,168
5 ➡️
(Org: 5)
(59,317)
0 59,317
6 📈
(Org: 13)
(42,442)
0.35 42,442
7 📈
(Org: 9)
(39,563)
0.24 39,563
8 📉
(Org: 6)
(38,286)
0 38,286
9 📉
(Org: 7)
(37,774)
0.08 37,774
10 📉
(Org: 8)
(34,508)
0 34,508
11 📈
(Org: 14)
(33,595)
0.19 33,595
12 📉
(Org: 10)
(29,225)
0.01 29,225
13 📉
(Org: 11)
(28,963)
0 28,963
14 📉
(Org: 12)
(28,326)
0.02 28,326
15 ➡️
(Org: 15)
(27,237)
0.01 27,237
16 ➡️
(Org: 16)
(26,536)
0.02 26,536
17 ➡️
(Org: 17)
(25,738)
0.01 25,738
18 ➡️
(Org: 18)
(23,583)
0 23,583
19 ➡️
(Org: 19)
(23,513)
0.01 23,513
20 ➡️
(Org: 20)
(22,261)
0 22,261
21 ➡️
(Org: 21)
(20,863)
0 20,863
22 ➡️
(Org: 22)
(20,637)
0 20,637
23 📈
(Org: 25)
(18,870)
0.13 18,870
24 📉
(Org: 23)
(17,131)
0.01 17,131
25 📉
(Org: 24)
(16,986)
0 16,986
26 📈
(Org: 27)
(14,713)
- 14,713
27 📈
(Org: 28)
(14,191)
0 14,191
28 📈
(Org: 29)
(13,557)
- 13,557
29 📈
(Org: 30)
(13,282)
0 13,282
30 📈
(Org: 50)
(12,906)
0.5 12,906
31 ➡️
(Org: 31)
(12,442)
0 12,442
32 ➡️
(Org: 32)
(11,683)
0.01 11,683
33 ➡️
(Org: 33)
(11,489)
0.01 11,489
34 ➡️
(Org: 34)
(11,290)
0.04 11,290
35 ➡️
(Org: 35)
(10,275)
0 10,275
36 ➡️
(Org: 36)
(10,234)
- 10,234
37 ➡️
(Org: 37)
(9,980)
0 9,980
38 ➡️
(Org: 38)
(8,736)
0 8,736
39 📈
(Org: 41)
(8,713)
0.03 8,713
40 📉
(Org: 39)
(8,601)
0 8,601
41 📉
(Org: 40)
(8,503)
0.01 8,503
42 📈
(Org: 71)
(8,412)
0.48 8,412
43 ➡️
(Org: 43)
(8,060)
0.03 8,060
44 📈
(Org: 46)
(7,922)
0.02 7,922
45 ➡️
(Org: 45)
(7,803)
0.01 7,803
46 📉
(Org: 43)
(7,787)
- 7,787
47 ➡️
(Org: 47)
(7,390)
0 7,390
48 📈
(Org: 56)
(7,071)
0.26 7,071
49 📉
(Org: 48)
(6,905)
- 6,905
50 📉
(Org: 49)
(6,792)
0.03 6,792
51 ➡️
(Org: 51)
(6,622)
0.05 6,622
52 📈
(Org: 64)
(5,898)
0.21 5,898
53 ➡️
(Org: 53)
(5,843)
- 5,843
54 📈
(Org: 55)
(5,744)
0.08 5,744
55 📈
(Org: 90)
(5,416)
0.32 5,416
56 📈
(Org: 88)
(5,397)
0.29 5,397
57 📈
(Org: 63)
(5,316)
0.11 5,316
58 📈
(Org: 60)
(5,306)
0.08 5,306
59 📈
(Org: 65)
(5,178)
0.1 5,178
59 📈
(Org: 77)
(5,178)
0.18 5,178
61 📈
(Org: 70)
(5,144)
0.14 5,144
62 📈
(Org: 66)
(5,113)
0.09 5,113
63 📉
(Org: 61)
(5,000)
0.03 5,000
64 📉
(Org: 58)
(4,971)
0.01 4,971
65 📉
(Org: 57)
(4,943)
- 4,943
66 📈
(Org: 127)
(4,933)
0.51 4,933
67 📈
(Org: 119)
(4,927)
0.48 4,927
68 📉
(Org: 59)
(4,888)
- 4,888
69 📉
(Org: 62)
(4,839)
0.02 4,839
70 📉
(Org: 68)
(4,649)
0.02 4,649
71 📈
(Org: 108)
(4,633)
0.37 4,633
72 📉
(Org: 67)
(4,617)
- 4,617
73 📈
(Org: 75)
(4,553)
0.07 4,553
74 📉
(Org: 69)
(4,526)
- 4,526
75 📉
(Org: 73)
(4,458)
0.02 4,458
76 📉
(Org: 72)
(4,439)
0.01 4,439
77 📉
(Org: 74)
(4,364)
0.01 4,364
78 📈
(Org: 80)
(4,353)
0.04 4,353
79 📉
(Org: 78)
(4,227)
0 4,227
80 📈
(Org: 81)
(4,212)
0.01 4,212
81 📈
(Org: 82)
(4,205)
0.03 4,205
82 📉
(Org: 79)
(4,193)
- 4,193
83 📈
(Org: 95)
(4,118)
0.15 4,118
84 ➡️
(Org: 84)
(4,077)
0.01 4,077
85 📉
(Org: 83)
(4,056)
- 4,056
86 📉
(Org: 85)
(4,006)
0.01 4,006
87 ➡️
(Org: 87)
(3,929)
0 3,929
88 📈
(Org: 89)
(3,882)
0.03 3,882
89 📈
(Org: 98)
(3,875)
0.13 3,875
90 📈
(Org: 109)
(3,813)
0.24 3,813
91 ➡️
(Org: 91)
(3,617)
0.01 3,617
92 ➡️
(Org: 92)
(3,592)
0.01 3,592
93 📈
(Org: 126)
(3,588)
0.32 3,588
94 📉
(Org: 93)
(3,586)
0.01 3,586
95 📉
(Org: 94)
(3,549)
0.01 3,549
96 ➡️
(Org: 96)
(3,507)
0.01 3,507
97 📈
(Org: 110)
(3,497)
0.19 3,497
98 📈
(Org: 118)
(3,435)
0.25 3,435
99 📉
(Org: 97)
(3,420)
- 3,420
100 📉
(Org: 99)
(3,322)
- 3,322