Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1969 - 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)
(88,043)
0.03 88,043
2 ➡️
(Org: 2)
(63,706)
0 63,706
3 📈
(Org: 4)
(62,983)
0.07 62,983
4 📉
(Org: 3)
(59,908)
0 59,908
5 ➡️
(Org: 5)
(58,323)
0 58,323
6 📈
(Org: 14)
(41,631)
0.36 41,631
7 📈
(Org: 9)
(38,678)
0.18 38,678
8 ➡️
(Org: 8)
(37,895)
0.12 37,895
9 📉
(Org: 6)
(37,674)
0 37,674
10 📈
(Org: 11)
(37,478)
0.23 37,478
11 📉
(Org: 7)
(36,316)
0.02 36,316
12 📉
(Org: 10)
(31,139)
0 31,139
13 📉
(Org: 12)
(29,243)
0.02 29,243
14 📉
(Org: 13)
(27,681)
0.01 27,681
15 ➡️
(Org: 15)
(26,404)
0.01 26,404
16 📈
(Org: 21)
(24,033)
0.14 24,033
17 📉
(Org: 16)
(23,710)
0.01 23,710
18 ➡️
(Org: 18)
(23,389)
0.01 23,389
19 📉
(Org: 17)
(23,388)
0 23,388
20 📉
(Org: 19)
(21,676)
0 21,676
21 📉
(Org: 20)
(20,917)
0 20,917
22 ➡️
(Org: 22)
(20,692)
0 20,692
23 📈
(Org: 37)
(18,801)
0.5 18,801
24 ➡️
(Org: 24)
(18,126)
0.04 18,126
25 📉
(Org: 23)
(17,575)
0 17,575
26 📉
(Org: 25)
(16,804)
0.02 16,804
27 📉
(Org: 26)
(16,273)
0.01 16,273
28 ➡️
(Org: 28)
(14,748)
- 14,748
29 ➡️
(Org: 29)
(14,646)
0 14,646
30 ➡️
(Org: 30)
(12,777)
- 12,777
31 ➡️
(Org: 31)
(12,726)
0 12,726
32 ➡️
(Org: 32)
(12,452)
- 12,452
33 📈
(Org: 34)
(11,379)
0.01 11,379
34 📉
(Org: 33)
(11,282)
- 11,282
35 ➡️
(Org: 35)
(11,180)
0 11,180
36 ➡️
(Org: 36)
(9,492)
0.01 9,492
37 📈
(Org: 38)
(9,255)
0.01 9,255
38 📈
(Org: 39)
(9,003)
0.02 9,003
39 📈
(Org: 40)
(8,296)
0 8,296
40 📈
(Org: 42)
(8,105)
0 8,105
41 📈
(Org: 46)
(7,909)
0.1 7,909
42 📈
(Org: 43)
(7,849)
0 7,849
43 📈
(Org: 74)
(7,605)
0.47 7,605
44 ➡️
(Org: 44)
(7,577)
0.03 7,577
45 ➡️
(Org: 45)
(7,522)
0.03 7,522
46 📈
(Org: 58)
(7,191)
0.32 7,191
47 ➡️
(Org: 47)
(6,918)
- 6,918
48 📈
(Org: 49)
(6,683)
0 6,683
49 📈
(Org: 50)
(6,663)
0 6,663
50 📈
(Org: 53)
(6,588)
0.03 6,588
51 📈
(Org: 52)
(6,453)
0.01 6,453
52 📈
(Org: 107)
(6,336)
0.54 6,336
53 📈
(Org: 62)
(6,122)
0.26 6,122
54 📈
(Org: 88)
(5,709)
0.39 5,709
55 📉
(Org: 54)
(5,687)
0.03 5,687
56 📈
(Org: 57)
(5,323)
0.03 5,323
57 📉
(Org: 55)
(5,291)
0 5,291
58 📉
(Org: 56)
(5,185)
- 5,185
59 ➡️
(Org: 59)
(5,170)
0.05 5,170
60 ➡️
(Org: 60)
(5,050)
0.08 5,050
61 📈
(Org: 65)
(4,837)
0.09 4,837
62 📉
(Org: 61)
(4,795)
0.04 4,795
63 📈
(Org: 66)
(4,727)
0.09 4,727
64 📈
(Org: 78)
(4,616)
0.19 4,616
65 📉
(Org: 64)
(4,478)
0.01 4,478
66 📈
(Org: 71)
(4,469)
0.1 4,469
67 ➡️
(Org: 67)
(4,312)
0.02 4,312
68 📈
(Org: 90)
(4,225)
0.19 4,225
69 📈
(Org: 85)
(4,148)
0.14 4,148
70 📈
(Org: 73)
(4,127)
0.03 4,127
71 📉
(Org: 70)
(4,097)
0.01 4,097
72 📉
(Org: 69)
(4,088)
0.01 4,088
73 📈
(Org: 81)
(4,052)
0.09 4,052
74 📉
(Org: 72)
(4,043)
- 4,043
75 📈
(Org: 127)
(4,038)
0.4 4,038
76 📈
(Org: 94)
(3,975)
0.2 3,975
77 ➡️
(Org: 77)
(3,902)
0.03 3,902
78 📉
(Org: 75)
(3,898)
- 3,898
79 📉
(Org: 76)
(3,854)
- 3,854
80 📈
(Org: 82)
(3,784)
0.03 3,784
81 📉
(Org: 78)
(3,765)
0 3,765
82 📈
(Org: 93)
(3,761)
0.14 3,761
83 📈
(Org: 87)
(3,715)
0.05 3,715
84 📉
(Org: 80)
(3,686)
0 3,686
85 📈
(Org: 158)
(3,683)
0.51 3,683
86 📈
(Org: 116)
(3,653)
0.24 3,653
87 📉
(Org: 83)
(3,647)
0.01 3,647
88 📉
(Org: 84)
(3,570)
- 3,570
89 ➡️
(Org: 89)
(3,485)
0.01 3,485
90 📈
(Org: 91)
(3,445)
0.02 3,445
91 📈
(Org: 173)
(3,388)
0.53 3,388
92 ➡️
(Org: 92)
(3,360)
0 3,360
93 📈
(Org: 95)
(3,200)
0.01 3,200
94 📈
(Org: 128)
(3,170)
0.25 3,170
95 📈
(Org: 96)
(3,162)
0 3,162
96 📈
(Org: 97)
(3,149)
0 3,149
97 📈
(Org: 101)
(3,077)
0.01 3,077
98 📈
(Org: 99)
(3,076)
0.01 3,076
99 📈
(Org: 103)
(3,075)
0.02 3,075
100 ➡️
(Org: 100)
(3,071)
0 3,071