Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2006 - 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)
(25,098)
0.01 25,098
2 ➡️
(Org: 2)
(23,592)
0.04 23,592
3 ➡️
(Org: 3)
(22,516)
0.01 22,516
4 📈
(Org: 8)
(21,668)
0.09 21,668
5 ➡️
(Org: 5)
(21,370)
0.05 21,370
6 📈
(Org: 23)
(21,342)
0.33 21,342
7 📉
(Org: 4)
(20,654)
0.01 20,654
8 📈
(Org: 17)
(20,416)
0.23 20,416
9 📉
(Org: 6)
(20,245)
0.01 20,245
10 📉
(Org: 7)
(19,732)
- 19,732
11 📉
(Org: 9)
(19,413)
- 19,413
12 📉
(Org: 10)
(18,985)
0 18,985
13 📉
(Org: 11)
(18,602)
0.01 18,602
14 📉
(Org: 12)
(18,271)
0 18,271
15 📈
(Org: 49)
(17,824)
0.46 17,824
16 📉
(Org: 13)
(17,667)
- 17,667
17 📈
(Org: 22)
(17,630)
0.18 17,630
18 📉
(Org: 14)
(16,543)
0.01 16,543
19 📉
(Org: 15)
(16,434)
0.01 16,434
20 📉
(Org: 16)
(16,297)
0 16,297
21 📉
(Org: 19)
(15,866)
0.04 15,866
22 📉
(Org: 18)
(15,775)
0.01 15,775
23 📈
(Org: 32)
(15,329)
0.24 15,329
24 📉
(Org: 20)
(15,295)
0.01 15,295
25 📈
(Org: 26)
(14,940)
0.12 14,940
26 📈
(Org: 34)
(14,752)
0.25 14,752
27 📈
(Org: 66)
(14,507)
0.54 14,507
28 📉
(Org: 21)
(14,487)
- 14,487
29 📉
(Org: 24)
(13,891)
0.01 13,891
30 📉
(Org: 25)
(13,746)
0.01 13,746
31 📈
(Org: 35)
(13,554)
0.2 13,554
32 📉
(Org: 27)
(13,366)
0.05 13,366
33 📈
(Org: 91)
(13,027)
0.63 13,027
34 📉
(Org: 33)
(12,958)
0.15 12,958
35 📉
(Org: 28)
(12,745)
0.02 12,745
36 📈
(Org: 53)
(12,606)
0.31 12,606
37 📉
(Org: 29)
(12,251)
0.02 12,251
38 📈
(Org: 50)
(11,924)
0.2 11,924
39 📉
(Org: 31)
(11,610)
0 11,610
40 📉
(Org: 30)
(11,603)
- 11,603
41 📈
(Org: 79)
(11,477)
0.46 11,477
42 📉
(Org: 39)
(11,294)
0.07 11,294
43 📉
(Org: 36)
(11,160)
0.03 11,160
44 📉
(Org: 37)
(11,085)
0.03 11,085
45 📈
(Org: 48)
(10,804)
0.1 10,804
46 📈
(Org: 77)
(10,764)
0.42 10,764
47 📉
(Org: 40)
(10,731)
0.03 10,731
48 📉
(Org: 46)
(10,566)
0.06 10,566
49 📉
(Org: 38)
(10,522)
0 10,522
50 📉
(Org: 41)
(10,513)
0.02 10,513
51 📉
(Org: 43)
(10,224)
0.01 10,224
52 📉
(Org: 45)
(10,181)
0.02 10,181
53 📉
(Org: 42)
(10,160)
0 10,160
54 📉
(Org: 52)
(10,093)
0.12 10,093
55 📈
(Org: 68)
(10,076)
0.34 10,076
56 📉
(Org: 51)
(10,068)
0.06 10,068
57 📉
(Org: 44)
(10,035)
- 10,035
58 📉
(Org: 47)
(9,911)
- 9,911
59 ➡️
(Org: 59)
(9,620)
0.15 9,620
60 📉
(Org: 55)
(9,589)
0.12 9,589
61 📉
(Org: 57)
(8,780)
0.05 8,780
62 📉
(Org: 54)
(8,579)
0 8,579
63 📉
(Org: 56)
(8,427)
0 8,427
64 📉
(Org: 62)
(8,254)
0.04 8,254
65 📉
(Org: 58)
(8,172)
- 8,172
66 📉
(Org: 60)
(8,013)
- 8,013
67 📉
(Org: 61)
(7,940)
- 7,940
68 📈
(Org: 85)
(7,727)
0.28 7,727
69 📈
(Org: 90)
(7,386)
0.35 7,386
70 📉
(Org: 63)
(7,383)
- 7,383
71 📈
(Org: 73)
(7,150)
0.1 7,150
72 📉
(Org: 65)
(6,942)
0.02 6,942
73 📉
(Org: 64)
(6,821)
0 6,821
74 📉
(Org: 67)
(6,714)
0.01 6,714
75 ➡️
(Org: 75)
(6,672)
0.04 6,672
76 📈
(Org: 80)
(6,668)
0.08 6,668
77 📉
(Org: 70)
(6,549)
- 6,549
78 📉
(Org: 71)
(6,544)
- 6,544
79 📉
(Org: 74)
(6,459)
- 6,459
80 📉
(Org: 76)
(6,329)
0.01 6,329
81 📈
(Org: 111)
(6,307)
0.39 6,307
82 📉
(Org: 78)
(6,198)
0 6,198
83 📉
(Org: 81)
(6,192)
0.01 6,192
84 ➡️
(Org: 84)
(6,089)
0.07 6,089
85 📉
(Org: 83)
(6,052)
0.05 6,052
86 📉
(Org: 82)
(5,874)
0.01 5,874
87 📉
(Org: 86)
(5,611)
0.04 5,611
88 📉
(Org: 87)
(5,513)
0.09 5,513
89 📈
(Org: 102)
(5,066)
0.14 5,066
90 📈
(Org: 137)
(5,008)
0.41 5,008
91 📉
(Org: 89)
(4,942)
0.01 4,942
92 📈
(Org: 105)
(4,885)
0.16 4,885
93 📈
(Org: 101)
(4,841)
0.09 4,841
94 📈
(Org: 100)
(4,753)
0.06 4,753
95 📉
(Org: 94)
(4,735)
0.01 4,735
96 📉
(Org: 95)
(4,726)
0.01 4,726
97 📉
(Org: 93)
(4,716)
0 4,716
98 📉
(Org: 97)
(4,581)
0.01 4,581
99 📈
(Org: 159)
(4,575)
0.42 4,575
100 📉
(Org: 96)
(4,567)
0 4,567