Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2008 - 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: 11)
(27,018)
0.36 27,018
2 📉
(Org: 1)
(22,868)
0.01 22,868
3 📉
(Org: 2)
(21,505)
0.04 21,505
4 📈
(Org: 16)
(20,912)
0.25 20,912
5 📉
(Org: 3)
(20,342)
0.01 20,342
6 📈
(Org: 9)
(19,971)
0.1 19,971
7 📈
(Org: 21)
(19,492)
0.32 19,492
8 📉
(Org: 4)
(19,372)
0.01 19,372
9 📉
(Org: 5)
(19,184)
0.01 19,184
10 📉
(Org: 6)
(18,731)
0 18,731
11 📉
(Org: 10)
(18,443)
0.05 18,443
12 📉
(Org: 8)
(18,439)
0 18,439
13 📉
(Org: 7)
(18,413)
- 18,413
14 📉
(Org: 12)
(16,778)
- 16,778
15 📉
(Org: 13)
(16,719)
0.01 16,719
16 📈
(Org: 29)
(16,692)
0.25 16,692
17 📉
(Org: 14)
(16,346)
- 16,346
18 📉
(Org: 15)
(15,900)
0.01 15,900
19 📈
(Org: 32)
(15,647)
0.26 15,647
20 📈
(Org: 26)
(15,606)
0.17 15,606
21 📉
(Org: 17)
(15,241)
0 15,241
22 📉
(Org: 18)
(14,802)
0.01 14,802
23 📈
(Org: 96)
(14,481)
0.67 14,481
24 📈
(Org: 34)
(14,347)
0.26 14,347
25 📉
(Org: 19)
(14,024)
0.01 14,024
26 📈
(Org: 51)
(13,933)
0.39 13,933
27 📉
(Org: 20)
(13,906)
0.04 13,906
28 📉
(Org: 22)
(13,525)
0.02 13,525
29 📉
(Org: 24)
(13,296)
0.02 13,296
30 📈
(Org: 31)
(13,182)
0.11 13,182
31 📉
(Org: 25)
(13,076)
0.01 13,076
32 📉
(Org: 23)
(13,068)
- 13,068
33 📉
(Org: 28)
(12,910)
0.02 12,910
34 📉
(Org: 27)
(12,880)
0.01 12,880
35 📈
(Org: 45)
(12,089)
0.23 12,089
36 📉
(Org: 33)
(12,012)
0.04 12,012
37 📈
(Org: 82)
(11,878)
0.54 11,878
38 📉
(Org: 30)
(11,788)
0 11,788
39 📈
(Org: 57)
(11,332)
0.31 11,332
40 📉
(Org: 37)
(11,289)
0.11 11,289
41 📈
(Org: 46)
(10,898)
0.14 10,898
42 📉
(Org: 35)
(10,895)
0.04 10,895
43 📈
(Org: 47)
(10,883)
0.15 10,883
44 📉
(Org: 42)
(10,388)
0.07 10,388
45 📉
(Org: 36)
(10,361)
0 10,361
46 📉
(Org: 39)
(10,324)
0.04 10,324
47 📉
(Org: 41)
(10,064)
0.03 10,064
48 📉
(Org: 38)
(9,967)
0 9,967
49 📉
(Org: 40)
(9,825)
- 9,825
50 📉
(Org: 48)
(9,759)
0.07 9,759
51 📈
(Org: 53)
(9,608)
0.14 9,608
52 📉
(Org: 44)
(9,573)
0.02 9,573
53 📉
(Org: 43)
(9,558)
0.01 9,558
54 📈
(Org: 86)
(9,444)
0.43 9,444
55 📉
(Org: 50)
(9,056)
0.06 9,056
56 📈
(Org: 60)
(8,892)
0.14 8,892
57 📉
(Org: 52)
(8,865)
0.06 8,865
58 📉
(Org: 49)
(8,840)
- 8,840
59 📈
(Org: 83)
(8,242)
0.34 8,242
60 📉
(Org: 55)
(8,181)
0.02 8,181
61 📉
(Org: 54)
(8,050)
0 8,050
62 📉
(Org: 56)
(7,937)
- 7,937
63 📉
(Org: 58)
(7,800)
- 7,800
64 📉
(Org: 59)
(7,708)
- 7,708
65 📈
(Org: 67)
(7,624)
0.08 7,624
66 📉
(Org: 61)
(7,616)
0.02 7,616
67 📉
(Org: 64)
(7,520)
0.05 7,520
68 📉
(Org: 65)
(7,431)
0.05 7,431
69 📉
(Org: 62)
(7,383)
0.01 7,383
70 📉
(Org: 63)
(7,288)
- 7,288
71 📉
(Org: 70)
(7,232)
0.13 7,232
72 📉
(Org: 66)
(7,033)
- 7,033
73 📈
(Org: 93)
(6,995)
0.29 6,995
74 📈
(Org: 114)
(6,882)
0.46 6,882
75 📈
(Org: 76)
(6,655)
0.11 6,655
76 📉
(Org: 68)
(6,593)
- 6,593
77 📉
(Org: 69)
(6,583)
0 6,583
78 📈
(Org: 104)
(6,335)
0.33 6,335
79 📉
(Org: 71)
(6,308)
0 6,308
80 ➡️
(Org: 80)
(6,253)
0.08 6,253
81 📉
(Org: 72)
(6,115)
0 6,115
82 📉
(Org: 74)
(6,096)
0.01 6,096
83 📈
(Org: 98)
(6,089)
0.25 6,089
84 📉
(Org: 73)
(6,052)
- 6,052
85 📉
(Org: 75)
(6,022)
0.01 6,022
86 📉
(Org: 81)
(5,874)
0.04 5,874
87 📉
(Org: 85)
(5,838)
0.08 5,838
88 📉
(Org: 78)
(5,836)
0.01 5,836
89 ➡️
(Org: 89)
(5,769)
0.11 5,769
90 📉
(Org: 79)
(5,758)
- 5,758
91 📉
(Org: 84)
(5,430)
0.01 5,430
92 📈
(Org: 133)
(5,228)
0.41 5,228
93 📉
(Org: 92)
(5,222)
0.03 5,222
94 📉
(Org: 90)
(5,154)
0.01 5,154
95 📉
(Org: 94)
(4,855)
0.01 4,855
96 📉
(Org: 95)
(4,810)
0.01 4,810
97 ➡️
(Org: 97)
(4,763)
0.01 4,763
98 📈
(Org: 99)
(4,746)
0.05 4,746
99 📈
(Org: 106)
(4,646)
0.11 4,646
100 📈
(Org: 110)
(4,601)
0.14 4,601