Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2024 - 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)
(22,402)
0.01 22,402
2 ➡️
(Org: 2)
(20,602)
0.01 20,602
3 ➡️
(Org: 3)
(15,375)
0 15,375
4 📈
(Org: 7)
(14,208)
0.2 14,208
5 📈
(Org: 35)
(13,018)
0.47 13,018
6 📈
(Org: 23)
(12,374)
0.36 12,374
7 📈
(Org: 9)
(12,111)
0.12 12,111
8 📉
(Org: 4)
(12,018)
0 12,018
9 📉
(Org: 5)
(11,815)
0 11,815
10 📉
(Org: 6)
(11,654)
0.01 11,654
11 📉
(Org: 8)
(11,313)
0.01 11,313
12 📉
(Org: 10)
(10,614)
0 10,614
13 📈
(Org: 37)
(10,162)
0.35 10,162
14 📉
(Org: 11)
(9,832)
0 9,832
15 📉
(Org: 12)
(9,622)
0.01 9,622
16 📈
(Org: 48)
(9,464)
0.34 9,464
17 📉
(Org: 13)
(9,081)
0.03 9,081
18 📉
(Org: 15)
(8,698)
0.03 8,698
19 📈
(Org: 59)
(8,620)
0.4 8,620
20 📉
(Org: 14)
(8,578)
0 8,578
21 📉
(Org: 18)
(8,430)
0.03 8,430
22 📉
(Org: 16)
(8,428)
0 8,428
23 📉
(Org: 21)
(8,392)
0.04 8,392
24 📉
(Org: 17)
(8,332)
0 8,332
25 📈
(Org: 47)
(8,286)
0.25 8,286
26 📉
(Org: 19)
(8,203)
0 8,203
27 📉
(Org: 20)
(8,202)
0.01 8,202
28 📉
(Org: 22)
(8,070)
0.01 8,070
29 📈
(Org: 62)
(7,896)
0.37 7,896
30 📉
(Org: 25)
(7,850)
0.03 7,850
31 📉
(Org: 24)
(7,808)
0 7,808
32 📉
(Org: 28)
(7,752)
0.04 7,752
33 📈
(Org: 45)
(7,718)
0.19 7,718
34 📉
(Org: 26)
(7,574)
- 7,574
35 📉
(Org: 27)
(7,524)
0 7,524
36 📉
(Org: 29)
(7,483)
0.01 7,483
37 📉
(Org: 30)
(7,410)
0.01 7,410
38 📉
(Org: 31)
(7,336)
0 7,336
39 📉
(Org: 33)
(7,328)
0.03 7,328
40 📉
(Org: 32)
(7,237)
0 7,237
41 📉
(Org: 34)
(7,073)
0 7,073
42 📈
(Org: 49)
(7,028)
0.18 7,028
43 📉
(Org: 39)
(6,938)
0.05 6,938
44 📉
(Org: 40)
(6,920)
0.06 6,920
45 📉
(Org: 36)
(6,809)
0.03 6,809
46 📉
(Org: 42)
(6,802)
0.05 6,802
47 📈
(Org: 125)
(6,699)
0.57 6,699
48 📉
(Org: 41)
(6,618)
0.02 6,618
49 📉
(Org: 38)
(6,588)
0 6,588
50 📉
(Org: 43)
(6,505)
0.02 6,505
51 📉
(Org: 45)
(6,344)
0.01 6,344
52 📉
(Org: 44)
(6,326)
- 6,326
53 📉
(Org: 50)
(5,900)
0.03 5,900
54 📈
(Org: 114)
(5,808)
0.46 5,808
55 📈
(Org: 69)
(5,640)
0.17 5,640
56 📈
(Org: 58)
(5,639)
0.09 5,639
57 📈
(Org: 61)
(5,594)
0.1 5,594
58 📉
(Org: 51)
(5,593)
- 5,593
59 📈
(Org: 66)
(5,554)
0.13 5,554
60 📈
(Org: 117)
(5,497)
0.45 5,497
61 📉
(Org: 55)
(5,478)
0.03 5,478
62 📉
(Org: 52)
(5,474)
- 5,474
63 📉
(Org: 53)
(5,464)
0 5,464
64 📉
(Org: 54)
(5,452)
0.01 5,452
65 📉
(Org: 56)
(5,414)
0.03 5,414
66 📉
(Org: 57)
(5,269)
0 5,269
67 📉
(Org: 60)
(5,194)
0.02 5,194
68 📉
(Org: 63)
(4,964)
- 4,964
69 📉
(Org: 65)
(4,942)
0.01 4,942
70 📉
(Org: 64)
(4,906)
0 4,906
71 📈
(Org: 150)
(4,827)
0.51 4,827
72 📈
(Org: 76)
(4,821)
0.11 4,821
73 📉
(Org: 67)
(4,802)
0 4,802
74 📈
(Org: 75)
(4,801)
0.05 4,801
75 📉
(Org: 70)
(4,794)
0.03 4,794
76 📉
(Org: 68)
(4,772)
- 4,772
77 📈
(Org: 83)
(4,754)
0.15 4,754
78 📉
(Org: 71)
(4,652)
0 4,652
79 📉
(Org: 73)
(4,619)
0.01 4,619
80 📉
(Org: 72)
(4,617)
- 4,617
81 📉
(Org: 79)
(4,559)
0.07 4,559
82 📉
(Org: 74)
(4,548)
- 4,548
83 📈
(Org: 98)
(4,542)
0.21 4,542
84 📉
(Org: 80)
(4,445)
0.08 4,445
85 📉
(Org: 78)
(4,345)
0.02 4,345
86 📉
(Org: 77)
(4,247)
- 4,247
87 📈
(Org: 110)
(4,237)
0.24 4,237
88 📉
(Org: 81)
(4,234)
0.03 4,234
89 📈
(Org: 158)
(4,135)
0.45 4,135
90 📉
(Org: 86)
(4,114)
0.05 4,114
91 📉
(Org: 85)
(4,076)
0.03 4,076
92 📈
(Org: 149)
(4,044)
0.41 4,044
93 📈
(Org: 107)
(4,039)
0.19 4,039
94 📉
(Org: 82)
(4,023)
- 4,023
95 ➡️
(Org: 95)
(4,017)
0.1 4,017
96 📉
(Org: 84)
(3,951)
- 3,951
97 📉
(Org: 87)
(3,935)
0.01 3,935
98 📉
(Org: 88)
(3,876)
- 3,876
99 📉
(Org: 89)
(3,863)
0 3,863
99 📈
(Org: 106)
(3,863)
0.14 3,863