Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2021 - 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)
(20,594)
0.01 20,594
2 📈
(Org: 14)
(19,200)
0.52 19,200
3 📉
(Org: 2)
(19,032)
0.01 19,032
4 📉
(Org: 3)
(14,769)
0 14,769
5 📈
(Org: 8)
(13,356)
0.13 13,356
6 📉
(Org: 4)
(13,032)
0.02 13,032
7 📉
(Org: 5)
(12,485)
0 12,485
8 📈
(Org: 35)
(12,433)
0.39 12,433
9 📉
(Org: 6)
(12,180)
0 12,180
10 📉
(Org: 7)
(11,943)
0 11,943
11 📈
(Org: 15)
(11,698)
0.22 11,698
12 📉
(Org: 9)
(11,470)
0.01 11,470
13 📈
(Org: 26)
(11,207)
0.26 11,207
14 📈
(Org: 41)
(11,169)
0.38 11,169
15 📈
(Org: 42)
(10,929)
0.37 10,929
16 📉
(Org: 11)
(9,873)
0.03 9,873
17 📉
(Org: 12)
(9,682)
0.01 9,682
18 📉
(Org: 10)
(9,611)
0 9,611
19 📉
(Org: 18)
(9,546)
0.05 9,546
20 📉
(Org: 17)
(9,435)
0.03 9,435
21 📉
(Org: 13)
(9,432)
0 9,432
22 📉
(Org: 16)
(9,192)
0 9,192
23 📈
(Org: 39)
(9,145)
0.21 9,145
24 📉
(Org: 21)
(8,997)
0.02 8,997
25 📉
(Org: 19)
(8,952)
0 8,952
26 📈
(Org: 55)
(8,891)
0.36 8,891
27 📉
(Org: 20)
(8,889)
0 8,889
28 📉
(Org: 22)
(8,768)
- 8,768
29 📉
(Org: 23)
(8,611)
0 8,611
30 📉
(Org: 24)
(8,603)
0.01 8,603
31 📉
(Org: 27)
(8,521)
0.04 8,521
32 📉
(Org: 25)
(8,435)
0.01 8,435
33 📈
(Org: 59)
(8,391)
0.35 8,391
34 📉
(Org: 28)
(8,192)
0 8,192
35 📉
(Org: 29)
(8,065)
0 8,065
36 📉
(Org: 30)
(7,943)
0 7,943
37 📈
(Org: 108)
(7,834)
0.54 7,834
38 📉
(Org: 31)
(7,832)
0 7,832
39 📉
(Org: 36)
(7,802)
0.04 7,802
40 📉
(Org: 32)
(7,768)
0.01 7,768
41 📉
(Org: 33)
(7,747)
0.01 7,747
42 📉
(Org: 34)
(7,718)
0.01 7,718
43 📉
(Org: 37)
(7,599)
0.02 7,599
44 📉
(Org: 40)
(7,555)
0.08 7,555
45 📈
(Org: 51)
(7,446)
0.2 7,446
46 📉
(Org: 38)
(7,407)
0.02 7,407
47 📉
(Org: 44)
(7,190)
0.06 7,190
48 📉
(Org: 46)
(7,030)
0.05 7,030
49 📉
(Org: 47)
(6,851)
0.04 6,851
50 📉
(Org: 45)
(6,806)
0.02 6,806
51 📈
(Org: 101)
(6,796)
0.46 6,796
52 📉
(Org: 43)
(6,787)
- 6,787
53 📉
(Org: 48)
(6,538)
0.03 6,538
54 📈
(Org: 92)
(6,526)
0.41 6,526
55 📉
(Org: 52)
(6,415)
0.09 6,415
56 📉
(Org: 49)
(6,162)
0 6,162
57 📈
(Org: 62)
(6,081)
0.16 6,081
58 📉
(Org: 50)
(6,003)
- 6,003
59 📉
(Org: 53)
(5,919)
0.01 5,919
60 📉
(Org: 56)
(5,877)
0.03 5,877
61 📈
(Org: 75)
(5,616)
0.19 5,616
62 📉
(Org: 57)
(5,615)
- 5,615
63 📉
(Org: 58)
(5,540)
0 5,540
64 📈
(Org: 73)
(5,430)
0.15 5,430
65 📉
(Org: 60)
(5,366)
0 5,366
66 📈
(Org: 77)
(5,300)
0.16 5,300
67 📈
(Org: 70)
(5,252)
0.12 5,252
68 📉
(Org: 65)
(5,237)
0.07 5,237
69 📈
(Org: 98)
(5,209)
0.28 5,209
70 📉
(Org: 61)
(5,143)
- 5,143
71 📉
(Org: 63)
(5,110)
0.01 5,110
72 📉
(Org: 64)
(4,996)
0.02 4,996
73 📈
(Org: 97)
(4,960)
0.24 4,960
74 📈
(Org: 159)
(4,930)
0.51 4,930
75 📉
(Org: 68)
(4,864)
0.04 4,864
76 📉
(Org: 66)
(4,781)
0.01 4,781
77 📉
(Org: 67)
(4,721)
0 4,721
78 📉
(Org: 69)
(4,713)
0.01 4,713
79 📈
(Org: 94)
(4,688)
0.19 4,688
80 📉
(Org: 76)
(4,667)
0.03 4,667
81 📉
(Org: 72)
(4,655)
0.01 4,655
82 📉
(Org: 71)
(4,634)
- 4,634
83 📈
(Org: 85)
(4,624)
0.09 4,624
84 📈
(Org: 99)
(4,620)
0.19 4,620
85 📉
(Org: 81)
(4,584)
0.06 4,584
86 📉
(Org: 74)
(4,579)
0 4,579
87 📈
(Org: 113)
(4,538)
0.27 4,538
88 📉
(Org: 78)
(4,453)
0 4,453
89 📉
(Org: 79)
(4,430)
- 4,430
90 📉
(Org: 82)
(4,359)
0.03 4,359
91 📉
(Org: 80)
(4,347)
0.01 4,347
92 📉
(Org: 82)
(4,250)
- 4,250
93 📉
(Org: 86)
(4,201)
- 4,201
94 📉
(Org: 88)
(4,140)
0.03 4,140
95 📈
(Org: 283)
(4,126)
0.7 4,126
96 📉
(Org: 87)
(4,110)
0 4,110
97 📉
(Org: 91)
(4,042)
0.03 4,042
98 📉
(Org: 90)
(4,025)
0.02 4,025
99 📉
(Org: 89)
(4,001)
- 4,001
100 📉
(Org: 95)
(3,915)
0.03 3,915