Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2020 - 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)
(20,045)
0.01 20,045
2 📈
(Org: 17)
(19,849)
0.54 19,849
3 📉
(Org: 2)
(18,555)
0.01 18,555
4 📉
(Org: 3)
(14,319)
0 14,319
5 📉
(Org: 4)
(13,447)
0.02 13,447
6 📈
(Org: 8)
(13,181)
0.14 13,181
7 📉
(Org: 5)
(12,679)
0 12,679
8 📈
(Org: 35)
(12,589)
0.41 12,589
9 📉
(Org: 6)
(12,407)
0 12,407
10 📉
(Org: 7)
(12,302)
0 12,302
11 📈
(Org: 24)
(11,921)
0.28 11,921
12 📈
(Org: 37)
(11,748)
0.39 11,748
13 📈
(Org: 20)
(11,380)
0.21 11,380
14 📉
(Org: 9)
(10,867)
0.01 10,867
15 📉
(Org: 11)
(10,551)
0.04 10,551
16 📉
(Org: 10)
(10,274)
0 10,274
17 📉
(Org: 12)
(10,163)
0.03 10,163
18 📈
(Org: 33)
(9,947)
0.24 9,947
19 📉
(Org: 13)
(9,580)
0 9,580
20 📉
(Org: 14)
(9,570)
0.01 9,570
21 📉
(Org: 15)
(9,441)
0.01 9,441
22 📉
(Org: 16)
(9,331)
0.02 9,331
23 📉
(Org: 18)
(9,224)
0.01 9,224
24 📉
(Org: 21)
(9,212)
0.03 9,212
25 📉
(Org: 19)
(9,039)
0 9,039
26 📈
(Org: 55)
(8,753)
0.35 8,753
27 📉
(Org: 22)
(8,667)
- 8,667
28 📉
(Org: 23)
(8,647)
0 8,647
29 📉
(Org: 25)
(8,624)
0 8,624
30 📉
(Org: 27)
(8,588)
0.04 8,588
31 📉
(Org: 26)
(8,522)
0.01 8,522
32 📉
(Org: 30)
(8,495)
0.04 8,495
33 📉
(Org: 28)
(8,271)
0 8,271
34 📈
(Org: 59)
(8,260)
0.36 8,260
35 📉
(Org: 29)
(8,241)
0 8,241
36 📈
(Org: 67)
(8,017)
0.4 8,017
37 📈
(Org: 99)
(7,963)
0.54 7,963
38 📉
(Org: 31)
(7,833)
0.01 7,833
39 📉
(Org: 32)
(7,759)
0.01 7,759
40 📉
(Org: 39)
(7,753)
0.08 7,753
41 📉
(Org: 34)
(7,626)
0.01 7,626
42 📉
(Org: 38)
(7,302)
0.02 7,302
43 📉
(Org: 42)
(7,272)
0.06 7,272
44 📈
(Org: 56)
(7,266)
0.23 7,266
45 📉
(Org: 36)
(7,240)
0 7,240
46 📉
(Org: 40)
(7,167)
0.02 7,167
47 📉
(Org: 41)
(7,030)
- 7,030
48 📈
(Org: 96)
(6,997)
0.46 6,997
49 📉
(Org: 44)
(6,983)
0.02 6,983
50 📉
(Org: 43)
(6,906)
0.01 6,906
51 📉
(Org: 47)
(6,849)
0.09 6,849
52 📉
(Org: 45)
(6,813)
0.05 6,813
53 📈
(Org: 87)
(6,604)
0.38 6,604
54 📉
(Org: 50)
(6,402)
0.04 6,402
55 📉
(Org: 46)
(6,243)
- 6,243
56 📉
(Org: 51)
(6,237)
0.02 6,237
57 📈
(Org: 66)
(6,204)
0.19 6,204
58 📉
(Org: 49)
(6,180)
0 6,180
59 📈
(Org: 65)
(6,174)
0.18 6,174
60 📉
(Org: 54)
(6,142)
0.02 6,142
61 📈
(Org: 78)
(6,127)
0.28 6,127
62 📉
(Org: 52)
(6,062)
- 6,062
63 📉
(Org: 53)
(6,031)
0 6,031
64 📈
(Org: 68)
(5,684)
0.16 5,684
65 📈
(Org: 70)
(5,633)
0.16 5,633
66 📈
(Org: 84)
(5,605)
0.25 5,605
67 📉
(Org: 63)
(5,464)
0.07 5,464
68 📉
(Org: 57)
(5,406)
0.01 5,406
69 📉
(Org: 60)
(5,367)
0.02 5,367
70 📉
(Org: 58)
(5,316)
- 5,316
71 📉
(Org: 61)
(5,217)
0 5,217
72 📉
(Org: 64)
(5,161)
0.01 5,161
73 📉
(Org: 62)
(5,101)
- 5,101
74 📈
(Org: 89)
(4,919)
0.18 4,919
75 📈
(Org: 158)
(4,910)
0.52 4,910
76 📉
(Org: 72)
(4,781)
0.02 4,781
77 📉
(Org: 75)
(4,780)
0.04 4,780
77 📉
(Org: 69)
(4,780)
- 4,780
79 📉
(Org: 71)
(4,728)
0.01 4,728
80 📉
(Org: 73)
(4,680)
0.01 4,680
81 📉
(Org: 74)
(4,596)
- 4,596
82 📈
(Org: 110)
(4,558)
0.27 4,558
83 ➡️
(Org: 83)
(4,557)
0.06 4,557
84 📉
(Org: 76)
(4,524)
- 4,524
85 📉
(Org: 77)
(4,494)
0 4,494
86 📉
(Org: 79)
(4,452)
0.01 4,452
87 📉
(Org: 82)
(4,443)
0.04 4,443
88 📉
(Org: 80)
(4,401)
- 4,401
88 📈
(Org: 93)
(4,401)
0.12 4,401
90 📉
(Org: 88)
(4,110)
0.02 4,110
90 📉
(Org: 86)
(4,110)
0 4,110
92 📉
(Org: 90)
(4,108)
0.02 4,108
93 📈
(Org: 294)
(4,098)
0.72 4,098
94 📈
(Org: 98)
(4,097)
0.1 4,097
95 📈
(Org: 111)
(4,083)
0.19 4,083
96 📈
(Org: 109)
(4,034)
0.17 4,034
97 📈
(Org: 119)
(3,957)
0.22 3,957
98 📉
(Org: 91)
(3,913)
0 3,913
99 📉
(Org: 92)
(3,875)
0 3,875
100 📈
(Org: 115)
(3,855)
0.17 3,855