Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2009 - 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: 8)
(26,220)
0.34 26,220
2 📉
(Org: 1)
(21,504)
0.01 21,504
3 📈
(Org: 12)
(21,391)
0.25 21,391
4 📉
(Org: 2)
(19,993)
0.01 19,993
5 📉
(Org: 3)
(19,733)
0.04 19,733
6 📉
(Org: 4)
(18,273)
0 18,273
7 📈
(Org: 10)
(18,151)
0.1 18,151
8 📉
(Org: 5)
(17,976)
0 17,976
9 📈
(Org: 25)
(17,885)
0.32 17,885
10 📉
(Org: 6)
(17,802)
0.01 17,802
11 📉
(Org: 7)
(17,675)
0.01 17,675
12 📈
(Org: 27)
(17,545)
0.31 17,545
13 📉
(Org: 9)
(17,343)
0 17,343
14 📉
(Org: 13)
(16,822)
0.05 16,822
15 📉
(Org: 11)
(16,325)
- 16,325
16 📉
(Org: 14)
(15,463)
0 15,463
17 📉
(Org: 15)
(15,079)
0.01 15,079
18 📉
(Org: 16)
(14,876)
- 14,876
19 📈
(Org: 31)
(14,839)
0.26 14,839
20 📈
(Org: 32)
(14,672)
0.26 14,672
21 📉
(Org: 17)
(14,650)
0.01 14,650
22 📉
(Org: 18)
(14,269)
0 14,269
23 📈
(Org: 102)
(14,171)
0.71 14,171
24 📈
(Org: 29)
(13,881)
0.18 13,881
25 📈
(Org: 48)
(13,535)
0.36 13,535
26 📉
(Org: 20)
(13,249)
0.01 13,249
27 📉
(Org: 19)
(13,247)
0.01 13,247
28 📉
(Org: 21)
(13,106)
0.02 13,106
29 📉
(Org: 22)
(13,085)
0.02 13,085
30 📈
(Org: 36)
(12,768)
0.2 12,768
31 📉
(Org: 26)
(12,668)
0.04 12,668
32 📉
(Org: 30)
(12,660)
0.1 12,660
33 📉
(Org: 23)
(12,654)
- 12,654
34 📉
(Org: 24)
(12,267)
0.01 12,267
35 📈
(Org: 52)
(11,740)
0.31 11,740
36 📉
(Org: 28)
(11,683)
0.01 11,683
37 📈
(Org: 39)
(11,173)
0.14 11,173
38 📉
(Org: 34)
(11,146)
0.04 11,146
39 📉
(Org: 33)
(10,768)
0 10,768
40 ➡️
(Org: 40)
(10,707)
0.11 10,707
41 📈
(Org: 92)
(10,523)
0.54 10,523
42 📉
(Org: 38)
(10,381)
0.05 10,381
43 📉
(Org: 35)
(10,323)
0 10,323
44 📉
(Org: 37)
(9,862)
0 9,862
45 📉
(Org: 41)
(9,853)
0.06 9,853
46 📈
(Org: 53)
(9,654)
0.16 9,654
47 📉
(Org: 42)
(9,429)
0.04 9,429
48 📉
(Org: 45)
(9,294)
0.07 9,294
49 📉
(Org: 44)
(9,017)
0.03 9,017
50 📈
(Org: 58)
(8,900)
0.14 8,900
51 📉
(Org: 43)
(8,818)
- 8,818
52 📉
(Org: 46)
(8,808)
0.02 8,808
53 📉
(Org: 47)
(8,724)
0.01 8,724
54 📉
(Org: 49)
(8,642)
0.01 8,642
55 📉
(Org: 50)
(8,639)
0.05 8,639
56 📉
(Org: 54)
(8,447)
0.05 8,447
57 📈
(Org: 95)
(8,254)
0.44 8,254
58 📉
(Org: 57)
(8,209)
0.06 8,209
59 📈
(Org: 61)
(8,182)
0.1 8,182
60 📉
(Org: 51)
(8,148)
0 8,148
61 📈
(Org: 66)
(8,089)
0.14 8,089
62 📉
(Org: 55)
(7,838)
- 7,838
63 📉
(Org: 56)
(7,753)
0 7,753
64 📉
(Org: 59)
(7,633)
- 7,633
65 📉
(Org: 62)
(7,613)
0.03 7,613
66 📉
(Org: 60)
(7,499)
0.01 7,499
67 📉
(Org: 63)
(7,457)
0.02 7,457
68 📈
(Org: 81)
(7,286)
0.27 7,286
69 📉
(Org: 64)
(7,284)
- 7,284
70 📉
(Org: 65)
(7,239)
0 7,239
71 📈
(Org: 113)
(7,014)
0.48 7,014
72 📈
(Org: 97)
(6,741)
0.36 6,741
73 📉
(Org: 69)
(6,470)
0.05 6,470
74 📉
(Org: 73)
(6,379)
0.09 6,379
75 📈
(Org: 93)
(6,378)
0.25 6,378
76 📉
(Org: 67)
(6,283)
- 6,283
77 📉
(Org: 68)
(6,242)
0 6,242
78 📉
(Org: 77)
(6,128)
0.12 6,128
79 📉
(Org: 70)
(6,023)
0.01 6,023
80 📉
(Org: 71)
(5,946)
0.01 5,946
81 📉
(Org: 72)
(5,811)
- 5,811
82 ➡️
(Org: 82)
(5,783)
0.09 5,783
83 📈
(Org: 106)
(5,767)
0.34 5,767
84 📈
(Org: 88)
(5,710)
0.12 5,710
85 📉
(Org: 74)
(5,697)
0 5,697
86 📉
(Org: 80)
(5,580)
0.04 5,580
87 📈
(Org: 91)
(5,449)
0.11 5,449
88 📉
(Org: 76)
(5,421)
0 5,421
89 📈
(Org: 127)
(5,400)
0.38 5,400
90 📉
(Org: 78)
(5,386)
- 5,386
91 📉
(Org: 79)
(5,379)
- 5,379
92 📉
(Org: 84)
(5,268)
0.04 5,268
93 📉
(Org: 83)
(5,205)
0.01 5,205
94 📉
(Org: 90)
(5,156)
0.05 5,156
95 📉
(Org: 85)
(5,060)
0.01 5,060
96 📉
(Org: 86)
(5,034)
0 5,034
97 📉
(Org: 89)
(5,020)
0.01 5,020
98 📉
(Org: 96)
(4,626)
- 4,626
99 📉
(Org: 98)
(4,308)
0 4,308
100 📈
(Org: 112)
(4,289)
0.14 4,289