Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1975 - 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)
(71,033)
0.04 71,033
2 ➡️
(Org: 2)
(53,001)
0.02 53,001
3 ➡️
(Org: 3)
(48,685)
0.04 48,685
4 ➡️
(Org: 4)
(39,583)
0 39,583
5 ➡️
(Org: 5)
(39,177)
0 39,177
6 📈
(Org: 8)
(38,042)
0.2 38,042
7 ➡️
(Org: 7)
(37,631)
0.07 37,631
8 📉
(Org: 6)
(35,319)
0 35,319
9 ➡️
(Org: 9)
(29,689)
0.04 29,689
10 📈
(Org: 18)
(26,799)
0.36 26,799
11 📉
(Org: 10)
(25,630)
0 25,630
12 📉
(Org: 11)
(24,164)
0.01 24,164
13 📈
(Org: 14)
(24,036)
0.24 24,036
14 📉
(Org: 13)
(23,320)
0.15 23,320
15 📉
(Org: 12)
(22,425)
0.01 22,425
16 📈
(Org: 19)
(19,571)
0.14 19,571
17 📈
(Org: 31)
(19,245)
0.44 19,245
18 📉
(Org: 15)
(18,149)
0 18,149
19 📉
(Org: 16)
(17,716)
0 17,716
20 📉
(Org: 17)
(17,641)
0.02 17,641
21 📉
(Org: 20)
(16,807)
0.02 16,807
22 📉
(Org: 21)
(16,496)
0 16,496
23 📉
(Org: 22)
(15,966)
0 15,966
24 ➡️
(Org: 24)
(15,621)
0.03 15,621
25 📉
(Org: 23)
(15,325)
0 15,325
26 ➡️
(Org: 26)
(14,639)
0 14,639
27 📉
(Org: 25)
(14,578)
- 14,578
28 📉
(Org: 27)
(12,910)
0.01 12,910
29 📉
(Org: 28)
(12,759)
- 12,759
30 ➡️
(Org: 30)
(12,468)
0.13 12,468
31 📉
(Org: 29)
(12,016)
- 12,016
32 ➡️
(Org: 32)
(10,985)
0.04 10,985
33 ➡️
(Org: 33)
(10,491)
0.01 10,491
34 📈
(Org: 36)
(9,750)
0.02 9,750
35 ➡️
(Org: 35)
(9,645)
0 9,645
36 📈
(Org: 45)
(9,144)
0.23 9,144
37 ➡️
(Org: 37)
(8,950)
0.01 8,950
38 ➡️
(Org: 38)
(8,656)
0 8,656
39 ➡️
(Org: 39)
(8,082)
0 8,082
40 📈
(Org: 41)
(7,380)
- 7,380
41 📈
(Org: 44)
(7,305)
0.03 7,305
42 ➡️
(Org: 42)
(7,196)
- 7,196
43 ➡️
(Org: 43)
(7,152)
- 7,152
44 📈
(Org: 71)
(7,095)
0.45 7,095
45 📈
(Org: 46)
(7,077)
0 7,077
46 📈
(Org: 48)
(6,973)
0 6,973
47 📈
(Org: 72)
(6,930)
0.44 6,930
48 📈
(Org: 49)
(6,882)
0.01 6,882
49 📈
(Org: 83)
(6,518)
0.51 6,518
50 ➡️
(Org: 50)
(6,134)
0 6,134
51 📈
(Org: 52)
(6,083)
0.03 6,083
52 📉
(Org: 51)
(5,969)
0 5,969
53 ➡️
(Org: 53)
(5,896)
0.01 5,896
54 ➡️
(Org: 54)
(5,712)
0 5,712
55 📈
(Org: 57)
(5,429)
0.04 5,429
56 📉
(Org: 55)
(5,413)
0.01 5,413
57 📉
(Org: 56)
(5,320)
0 5,320
58 📈
(Org: 64)
(5,264)
0.16 5,264
59 📉
(Org: 58)
(5,234)
0.02 5,234
60 📈
(Org: 62)
(5,150)
0.11 5,150
61 📉
(Org: 59)
(4,853)
0.03 4,853
62 📉
(Org: 60)
(4,695)
- 4,695
63 📉
(Org: 61)
(4,681)
0.01 4,681
64 📉
(Org: 63)
(4,545)
0 4,545
65 ➡️
(Org: 65)
(4,437)
0.03 4,437
66 ➡️
(Org: 66)
(4,211)
- 4,211
67 ➡️
(Org: 67)
(4,003)
0.01 4,003
68 📉
(Org: 67)
(3,971)
- 3,971
69 ➡️
(Org: 69)
(3,951)
- 3,951
70 📈
(Org: 81)
(3,806)
0.13 3,806
71 📈
(Org: 73)
(3,792)
- 3,792
72 📈
(Org: 91)
(3,753)
0.25 3,753
73 📈
(Org: 74)
(3,728)
- 3,728
74 📈
(Org: 75)
(3,619)
- 3,619
75 📈
(Org: 76)
(3,584)
- 3,584
76 📈
(Org: 77)
(3,502)
0 3,502
77 📈
(Org: 80)
(3,428)
0.03 3,428
78 ➡️
(Org: 78)
(3,417)
0.01 3,417
79 ➡️
(Org: 79)
(3,373)
0 3,373
80 📈
(Org: 82)
(3,358)
0.04 3,358
81 📈
(Org: 92)
(3,241)
0.14 3,241
82 📈
(Org: 84)
(3,213)
0.03 3,213
83 📈
(Org: 107)
(3,081)
0.21 3,081
84 📈
(Org: 86)
(3,037)
0.02 3,037
85 📈
(Org: 112)
(2,971)
0.21 2,971
86 📈
(Org: 93)
(2,876)
0.04 2,876
87 📈
(Org: 88)
(2,832)
- 2,832
88 📈
(Org: 94)
(2,797)
0.02 2,797
89 📈
(Org: 97)
(2,748)
0.05 2,748
90 📈
(Org: 151)
(2,693)
0.39 2,693
91 📈
(Org: 96)
(2,690)
0 2,690
92 📈
(Org: 95)
(2,679)
- 2,679
93 📈
(Org: 100)
(2,667)
0.04 2,667
94 📈
(Org: 135)
(2,656)
0.28 2,656
95 📈
(Org: 98)
(2,635)
0.01 2,635
96 📈
(Org: 108)
(2,624)
0.09 2,624
97 📈
(Org: 110)
(2,611)
0.09 2,611
98 📈
(Org: 141)
(2,587)
0.31 2,587
99 📈
(Org: 113)
(2,567)
0.09 2,567
100 📈
(Org: 101)
(2,564)
0.01 2,564