Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1954 - 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)
(92,927)
0.05 92,927
2 ➡️
(Org: 2)
(86,349)
0 86,349
3 ➡️
(Org: 3)
(86,312)
- 86,312
4 ➡️
(Org: 4)
(84,375)
0.04 84,375
5 ➡️
(Org: 5)
(79,573)
0 79,573
6 ➡️
(Org: 6)
(61,457)
0 61,457
7 📈
(Org: 11)
(58,519)
0.37 58,519
8 📉
(Org: 7)
(57,055)
0 57,055
9 📉
(Org: 8)
(47,328)
0 47,328
10 📈
(Org: 12)
(38,601)
0.06 38,601
11 📉
(Org: 9)
(37,996)
0 37,996
12 📉
(Org: 10)
(37,473)
0 37,473
13 ➡️
(Org: 13)
(31,553)
0.01 31,553
14 ➡️
(Org: 14)
(29,279)
- 29,279
15 ➡️
(Org: 15)
(27,681)
0 27,681
16 ➡️
(Org: 16)
(26,234)
0 26,234
17 ➡️
(Org: 17)
(26,208)
0 26,208
18 ➡️
(Org: 18)
(25,548)
0.01 25,548
19 ➡️
(Org: 19)
(24,669)
0 24,669
20 📈
(Org: 23)
(24,274)
0.22 24,274
21 ➡️
(Org: 21)
(21,331)
0.03 21,331
22 ➡️
(Org: 22)
(19,493)
- 19,493
23 📈
(Org: 24)
(18,735)
0 18,735
24 📈
(Org: 25)
(17,696)
0 17,696
25 📈
(Org: 26)
(17,447)
0 17,447
26 📈
(Org: 27)
(15,580)
0 15,580
27 📈
(Org: 28)
(15,402)
0.01 15,402
28 📈
(Org: 29)
(14,828)
0.01 14,828
29 📈
(Org: 30)
(14,155)
- 14,155
30 📈
(Org: 31)
(14,039)
0.03 14,039
31 📈
(Org: 32)
(13,123)
- 13,123
32 📈
(Org: 33)
(12,747)
0.01 12,747
33 📈
(Org: 46)
(12,452)
0.34 12,452
34 ➡️
(Org: 34)
(12,341)
0.05 12,341
35 📈
(Org: 62)
(11,487)
0.45 11,487
36 📉
(Org: 35)
(11,261)
0 11,261
37 📉
(Org: 36)
(10,995)
- 10,995
38 📈
(Org: 39)
(10,626)
0.1 10,626
39 📉
(Org: 37)
(10,096)
0 10,096
40 📉
(Org: 38)
(9,986)
0.01 9,986
41 📈
(Org: 47)
(9,921)
0.18 9,921
42 📉
(Org: 40)
(9,671)
0.02 9,671
43 📈
(Org: 48)
(9,448)
0.14 9,448
44 📉
(Org: 42)
(9,352)
0.03 9,352
45 📉
(Org: 41)
(9,194)
0 9,194
46 📉
(Org: 44)
(9,074)
0.06 9,074
47 📈
(Org: 63)
(8,736)
0.29 8,736
48 📉
(Org: 43)
(8,712)
- 8,712
49 📉
(Org: 45)
(8,389)
0 8,389
50 📉
(Org: 49)
(7,486)
- 7,486
51 📉
(Org: 50)
(7,480)
0.01 7,480
52 📈
(Org: 55)
(7,445)
0.12 7,445
53 📈
(Org: 78)
(7,356)
0.32 7,356
54 📉
(Org: 51)
(7,257)
0.01 7,257
55 📈
(Org: 74)
(6,964)
0.24 6,964
56 📉
(Org: 52)
(6,908)
0.01 6,908
57 📉
(Org: 53)
(6,878)
0.01 6,878
58 📉
(Org: 54)
(6,696)
0.01 6,696
59 📉
(Org: 56)
(6,562)
0.01 6,562
60 📉
(Org: 57)
(6,518)
0.01 6,518
61 📉
(Org: 58)
(6,473)
0 6,473
62 📉
(Org: 59)
(6,427)
0 6,427
63 📉
(Org: 60)
(6,369)
0 6,369
64 📉
(Org: 61)
(6,319)
0 6,319
65 ➡️
(Org: 65)
(6,288)
0.04 6,288
66 📈
(Org: 83)
(6,190)
0.23 6,190
67 📉
(Org: 64)
(6,136)
0.01 6,136
68 📉
(Org: 66)
(5,959)
- 5,959
69 ➡️
(Org: 69)
(5,929)
0.03 5,929
70 📉
(Org: 67)
(5,899)
0 5,899
71 📉
(Org: 68)
(5,877)
0.01 5,877
72 📉
(Org: 71)
(5,698)
0.01 5,698
73 📉
(Org: 72)
(5,659)
0.03 5,659
74 📉
(Org: 70)
(5,653)
- 5,653
75 📉
(Org: 73)
(5,429)
- 5,429
76 📈
(Org: 81)
(5,182)
0.06 5,182
77 📉
(Org: 76)
(5,062)
- 5,062
78 📉
(Org: 77)
(5,040)
0 5,040
79 ➡️
(Org: 79)
(4,983)
0 4,983
80 📈
(Org: 87)
(4,977)
0.16 4,977
81 📉
(Org: 80)
(4,933)
- 4,933
82 ➡️
(Org: 82)
(4,831)
- 4,831
83 📈
(Org: 84)
(4,783)
0.04 4,783
84 📈
(Org: 85)
(4,655)
0.04 4,655
85 📈
(Org: 89)
(4,466)
0.07 4,466
86 📈
(Org: 95)
(4,360)
0.16 4,360
87 📉
(Org: 86)
(4,354)
- 4,354
88 📈
(Org: 91)
(3,983)
0.05 3,983
89 📈
(Org: 119)
(3,771)
0.27 3,771
90 📈
(Org: 92)
(3,731)
0.01 3,731
91 📈
(Org: 94)
(3,718)
0.01 3,718
92 📈
(Org: 93)
(3,695)
- 3,695
93 📈
(Org: 96)
(3,664)
0.03 3,664
94 📈
(Org: 98)
(3,539)
0.03 3,539
95 📈
(Org: 97)
(3,498)
- 3,498
96 📈
(Org: 105)
(3,477)
0.04 3,477
97 📈
(Org: 102)
(3,445)
0.02 3,445
98 📈
(Org: 99)
(3,417)
- 3,417
99 📈
(Org: 100)
(3,413)
0 3,413
100 📈
(Org: 101)
(3,398)
0.01 3,398