Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1951 - 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)
(87,257)
- 87,257
2 ➡️
(Org: 2)
(86,368)
0 86,368
3 ➡️
(Org: 3)
(83,570)
0.02 83,570
4 ➡️
(Org: 4)
(76,239)
0.05 76,239
5 ➡️
(Org: 5)
(64,803)
0 64,803
6 ➡️
(Org: 6)
(62,814)
0 62,814
7 ➡️
(Org: 7)
(54,552)
0 54,552
8 📈
(Org: 13)
(50,842)
0.44 50,842
9 📉
(Org: 8)
(48,449)
0 48,449
10 📉
(Org: 9)
(39,417)
0 39,417
11 📉
(Org: 10)
(38,260)
0 38,260
12 📉
(Org: 11)
(30,622)
0 30,622
13 📉
(Org: 12)
(29,114)
0 29,114
14 ➡️
(Org: 14)
(28,395)
0.01 28,395
15 ➡️
(Org: 15)
(27,915)
- 27,915
16 ➡️
(Org: 16)
(25,856)
0 25,856
17 ➡️
(Org: 17)
(24,806)
0.02 24,806
18 📈
(Org: 20)
(22,977)
0.08 22,977
19 📉
(Org: 18)
(22,862)
0 22,862
20 📈
(Org: 21)
(21,356)
0.01 21,356
21 📈
(Org: 22)
(20,233)
0 20,233
22 📈
(Org: 23)
(19,913)
- 19,913
23 📈
(Org: 24)
(15,446)
0.02 15,446
24 📈
(Org: 25)
(14,153)
0 14,153
25 📈
(Org: 26)
(14,090)
- 14,090
26 📈
(Org: 27)
(14,031)
0.01 14,031
27 📈
(Org: 29)
(13,002)
0.04 13,002
28 ➡️
(Org: 28)
(12,710)
0 12,710
29 📈
(Org: 35)
(12,254)
0.21 12,254
30 ➡️
(Org: 30)
(12,229)
0 12,229
31 ➡️
(Org: 31)
(11,477)
- 11,477
32 📈
(Org: 33)
(11,396)
0.1 11,396
33 📉
(Org: 32)
(11,242)
0 11,242
34 📈
(Org: 55)
(11,041)
0.45 11,041
35 📈
(Org: 36)
(10,096)
0.06 10,096
36 📉
(Org: 34)
(9,838)
- 9,838
37 ➡️
(Org: 37)
(9,333)
0 9,333
38 📈
(Org: 43)
(9,133)
0.16 9,133
39 📉
(Org: 38)
(9,007)
0 9,007
40 📉
(Org: 39)
(8,815)
0.01 8,815
41 ➡️
(Org: 41)
(8,465)
0.03 8,465
42 📉
(Org: 40)
(8,408)
- 8,408
43 📉
(Org: 42)
(8,037)
- 8,037
44 📈
(Org: 58)
(8,023)
0.28 8,023
45 📈
(Org: 62)
(7,512)
0.24 7,512
46 📉
(Org: 44)
(7,487)
0.01 7,487
47 📉
(Org: 45)
(7,267)
0.01 7,267
48 📉
(Org: 46)
(7,189)
0 7,189
49 📉
(Org: 47)
(7,146)
0 7,146
50 📉
(Org: 48)
(7,052)
0.01 7,052
51 📉
(Org: 49)
(6,988)
0 6,988
52 📉
(Org: 50)
(6,799)
0.01 6,799
53 📈
(Org: 82)
(6,795)
0.33 6,795
54 📉
(Org: 51)
(6,534)
0 6,534
55 📉
(Org: 52)
(6,506)
0.01 6,506
56 📉
(Org: 53)
(6,394)
0.01 6,394
57 📈
(Org: 78)
(6,366)
0.22 6,366
58 📉
(Org: 54)
(6,228)
0 6,228
59 📈
(Org: 66)
(6,202)
0.11 6,202
60 📉
(Org: 56)
(6,101)
0.01 6,101
61 📈
(Org: 75)
(5,983)
0.15 5,983
62 📉
(Org: 57)
(5,849)
0 5,849
63 📈
(Org: 64)
(5,826)
0.04 5,826
64 📉
(Org: 61)
(5,807)
0.01 5,807
65 📉
(Org: 59)
(5,802)
0.01 5,802
66 📉
(Org: 60)
(5,760)
- 5,760
67 📉
(Org: 63)
(5,685)
0.01 5,685
68 📉
(Org: 65)
(5,579)
- 5,579
69 📉
(Org: 67)
(5,526)
0.01 5,526
70 📈
(Org: 76)
(5,475)
0.07 5,475
71 📉
(Org: 68)
(5,454)
0.01 5,454
72 📉
(Org: 69)
(5,372)
- 5,372
73 ➡️
(Org: 73)
(5,356)
0.03 5,356
74 📉
(Org: 70)
(5,314)
0 5,314
75 📉
(Org: 71)
(5,312)
0.01 5,312
76 📈
(Org: 102)
(5,233)
0.41 5,233
77 ➡️
(Org: 77)
(5,186)
0.03 5,186
78 📈
(Org: 83)
(5,184)
0.15 5,184
79 📉
(Org: 72)
(5,179)
- 5,179
80 📉
(Org: 74)
(5,108)
- 5,108
81 📉
(Org: 80)
(4,904)
0.03 4,904
82 📉
(Org: 81)
(4,605)
0 4,605
83 📈
(Org: 84)
(4,297)
- 4,297
84 📈
(Org: 85)
(4,243)
0.01 4,243
85 📈
(Org: 86)
(4,053)
- 4,053
86 📈
(Org: 87)
(3,994)
- 3,994
87 📈
(Org: 89)
(3,924)
0.05 3,924
88 📈
(Org: 93)
(3,893)
0.06 3,893
89 📉
(Org: 88)
(3,873)
0.01 3,873
90 📈
(Org: 91)
(3,872)
0.04 3,872
91 📈
(Org: 92)
(3,765)
0.02 3,765
92 📉
(Org: 90)
(3,729)
- 3,729
93 📈
(Org: 95)
(3,709)
0.04 3,709
94 📈
(Org: 115)
(3,671)
0.27 3,671
95 📉
(Org: 94)
(3,596)
0 3,596
96 ➡️
(Org: 96)
(3,565)
0 3,565
97 📈
(Org: 109)
(3,443)
0.2 3,443
98 📈
(Org: 99)
(3,299)
0.02 3,299
99 📉
(Org: 98)
(3,232)
- 3,232
100 ➡️
(Org: 100)
(3,203)
- 3,203