Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1967 - 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)
(85,262)
0.03 85,262
2 ➡️
(Org: 2)
(66,823)
0 66,823
3 📈
(Org: 4)
(65,800)
0.06 65,800
4 📉
(Org: 3)
(61,694)
0 61,694
5 ➡️
(Org: 5)
(56,380)
0 56,380
6 📈
(Org: 14)
(42,125)
0.36 42,125
7 ➡️
(Org: 7)
(38,019)
0.08 38,019
8 📉
(Org: 6)
(37,682)
0 37,682
9 📈
(Org: 13)
(36,819)
0.24 36,819
10 ➡️
(Org: 10)
(35,121)
0.18 35,121
11 📉
(Org: 8)
(33,622)
0 33,622
12 📉
(Org: 9)
(29,873)
0.02 29,873
13 📉
(Org: 11)
(28,620)
0 28,620
14 📉
(Org: 12)
(28,453)
0.01 28,453
15 ➡️
(Org: 15)
(26,149)
0.01 26,149
16 ➡️
(Org: 16)
(26,044)
0.02 26,044
17 ➡️
(Org: 17)
(24,773)
0.01 24,773
18 ➡️
(Org: 18)
(22,833)
0 22,833
19 ➡️
(Org: 19)
(22,453)
0.01 22,453
20 ➡️
(Org: 20)
(21,298)
0 21,298
21 ➡️
(Org: 21)
(20,890)
0 20,890
22 📈
(Org: 23)
(20,563)
0.13 20,563
23 📉
(Org: 22)
(19,273)
0 19,273
24 ➡️
(Org: 24)
(16,477)
0 16,477
25 ➡️
(Org: 25)
(15,887)
0.01 15,887
26 📈
(Org: 44)
(14,542)
0.48 14,542
27 ➡️
(Org: 27)
(14,226)
- 14,226
28 ➡️
(Org: 28)
(14,170)
0.04 14,170
29 ➡️
(Org: 29)
(13,454)
- 13,454
30 ➡️
(Org: 30)
(13,003)
0 13,003
31 ➡️
(Org: 31)
(12,653)
- 12,653
32 ➡️
(Org: 32)
(12,640)
0 12,640
33 ➡️
(Org: 33)
(11,511)
0.01 11,511
34 ➡️
(Org: 34)
(11,085)
0.01 11,085
35 ➡️
(Org: 35)
(9,967)
- 9,967
36 ➡️
(Org: 36)
(9,739)
0 9,739
37 ➡️
(Org: 37)
(8,444)
0 8,444
38 ➡️
(Org: 38)
(8,363)
0 8,363
39 ➡️
(Org: 39)
(8,337)
0 8,337
40 📈
(Org: 41)
(8,039)
0.03 8,039
41 📉
(Org: 40)
(7,933)
- 7,933
42 📈
(Org: 73)
(7,893)
0.49 7,893
43 ➡️
(Org: 43)
(7,848)
0.03 7,848
44 📉
(Org: 42)
(7,726)
0.01 7,726
45 📈
(Org: 46)
(7,506)
0.03 7,506
46 📉
(Org: 45)
(7,430)
- 7,430
47 📈
(Org: 48)
(7,073)
0 7,073
48 📈
(Org: 49)
(6,832)
0 6,832
49 📈
(Org: 57)
(6,626)
0.26 6,626
50 ➡️
(Org: 50)
(6,442)
0.03 6,442
51 📈
(Org: 53)
(6,029)
0.05 6,029
52 📈
(Org: 56)
(5,492)
0.1 5,492
53 📈
(Org: 54)
(5,469)
0.02 5,469
54 📈
(Org: 120)
(5,374)
0.53 5,374
55 📈
(Org: 59)
(5,283)
0.08 5,283
56 📈
(Org: 91)
(5,150)
0.33 5,150
57 📉
(Org: 55)
(5,066)
- 5,066
58 ➡️
(Org: 58)
(5,044)
0.03 5,044
59 📈
(Org: 60)
(5,023)
0.08 5,023
60 📈
(Org: 75)
(5,018)
0.2 5,018
61 📈
(Org: 63)
(5,006)
0.11 5,006
62 📈
(Org: 74)
(4,904)
0.18 4,904
63 📈
(Org: 66)
(4,793)
0.09 4,793
64 📈
(Org: 72)
(4,722)
0.14 4,722
65 📉
(Org: 61)
(4,573)
- 4,573
66 ➡️
(Org: 66)
(4,479)
0.03 4,479
67 📉
(Org: 62)
(4,469)
- 4,469
68 📉
(Org: 65)
(4,433)
0.01 4,433
69 📉
(Org: 68)
(4,417)
0.02 4,417
70 📉
(Org: 64)
(4,416)
- 4,416
71 📈
(Org: 109)
(4,353)
0.35 4,353
72 📈
(Org: 114)
(4,310)
0.37 4,310
73 📉
(Org: 70)
(4,278)
0.03 4,278
74 📉
(Org: 69)
(4,275)
0.01 4,275
75 📈
(Org: 77)
(4,268)
0.07 4,268
76 📈
(Org: 86)
(4,252)
0.14 4,252
77 📈
(Org: 141)
(4,154)
0.51 4,154
78 📉
(Org: 76)
(4,141)
0.04 4,141
79 📉
(Org: 78)
(3,937)
0.01 3,937
80 📈
(Org: 83)
(3,911)
0.03 3,911
81 📉
(Org: 79)
(3,908)
- 3,908
82 📉
(Org: 80)
(3,847)
0 3,847
83 📉
(Org: 81)
(3,810)
- 3,810
84 ➡️
(Org: 84)
(3,758)
- 3,758
85 ➡️
(Org: 85)
(3,741)
0.01 3,741
86 📈
(Org: 98)
(3,735)
0.15 3,735
87 📈
(Org: 110)
(3,703)
0.24 3,703
88 ➡️
(Org: 88)
(3,634)
0.01 3,634
89 📉
(Org: 87)
(3,628)
0 3,628
90 📈
(Org: 111)
(3,626)
0.23 3,626
91 📉
(Org: 89)
(3,554)
0.01 3,554
92 📉
(Org: 90)
(3,478)
- 3,478
93 📉
(Org: 92)
(3,423)
0.01 3,423
94 📈
(Org: 113)
(3,416)
0.2 3,416
95 📉
(Org: 93)
(3,345)
0 3,345
96 📉
(Org: 94)
(3,319)
0 3,319
97 📉
(Org: 95)
(3,305)
0.01 3,305
98 📈
(Org: 102)
(3,238)
0.04 3,238
99 📉
(Org: 96)
(3,218)
0 3,218
100 📉
(Org: 97)
(3,195)
- 3,195