Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2012 - 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)
(23,707)
0.32 23,707
2 📈
(Org: 21)
(22,724)
0.45 22,724
3 📈
(Org: 10)
(21,718)
0.31 21,718
4 📉
(Org: 2)
(19,922)
0.05 19,922
5 📉
(Org: 1)
(19,445)
0.02 19,445
6 📉
(Org: 3)
(17,780)
0 17,780
7 📉
(Org: 4)
(17,460)
0 17,460
8 📉
(Org: 6)
(16,987)
0.01 16,987
9 📉
(Org: 5)
(16,939)
0 16,939
10 📉
(Org: 7)
(16,793)
0.03 16,793
11 📈
(Org: 29)
(15,424)
0.32 15,424
12 📉
(Org: 9)
(15,275)
0 15,275
13 📉
(Org: 12)
(14,661)
0.05 14,661
14 📉
(Org: 11)
(14,414)
0.01 14,414
15 📉
(Org: 13)
(14,173)
0.02 14,173
16 📉
(Org: 14)
(13,513)
0 13,513
17 📉
(Org: 15)
(13,226)
- 13,226
18 📈
(Org: 23)
(13,139)
0.09 13,139
19 📈
(Org: 32)
(13,027)
0.23 13,027
20 📉
(Org: 16)
(12,931)
0.01 12,931
21 📉
(Org: 17)
(12,742)
0.01 12,742
22 📉
(Org: 19)
(12,696)
0.01 12,696
23 📉
(Org: 18)
(12,641)
- 12,641
23 📉
(Org: 22)
(12,641)
0.01 12,641
25 📉
(Org: 20)
(12,564)
0 12,564
26 📈
(Org: 27)
(12,351)
0.13 12,351
27 📈
(Org: 97)
(12,216)
0.68 12,216
28 📉
(Org: 24)
(11,755)
0.02 11,755
29 📈
(Org: 35)
(11,669)
0.2 11,669
30 📈
(Org: 39)
(11,636)
0.27 11,636
31 📉
(Org: 25)
(11,533)
0.01 11,533
32 📈
(Org: 34)
(11,210)
0.16 11,210
33 📉
(Org: 28)
(11,082)
0.04 11,082
34 📉
(Org: 30)
(11,065)
0.09 11,065
35 📉
(Org: 26)
(11,036)
0.01 11,036
36 📉
(Org: 31)
(10,960)
0.09 10,960
37 📈
(Org: 49)
(10,934)
0.29 10,934
38 📉
(Org: 36)
(10,172)
0.09 10,172
39 📈
(Org: 59)
(9,897)
0.29 9,897
40 📉
(Org: 33)
(9,639)
- 9,639
41 📉
(Org: 37)
(9,110)
0.01 9,110
42 📉
(Org: 38)
(8,700)
0 8,700
43 📈
(Org: 54)
(8,658)
0.15 8,658
44 📉
(Org: 42)
(8,558)
0.04 8,558
45 📉
(Org: 41)
(8,302)
0.01 8,302
46 📉
(Org: 40)
(8,288)
0 8,288
47 📉
(Org: 46)
(8,279)
0.04 8,279
48 📉
(Org: 43)
(8,277)
0.02 8,277
49 📉
(Org: 48)
(8,266)
0.05 8,266
50 📈
(Org: 65)
(8,206)
0.22 8,206
51 📉
(Org: 44)
(8,158)
0.01 8,158
52 📈
(Org: 70)
(8,117)
0.24 8,117
53 📉
(Org: 45)
(8,056)
0 8,056
54 📉
(Org: 47)
(7,944)
0 7,944
55 📉
(Org: 51)
(7,943)
0.05 7,943
56 📈
(Org: 85)
(7,925)
0.4 7,925
57 📉
(Org: 50)
(7,789)
0.01 7,789
58 📉
(Org: 53)
(7,538)
0.02 7,538
59 📉
(Org: 52)
(7,502)
0 7,502
60 📈
(Org: 86)
(7,477)
0.37 7,477
61 📉
(Org: 56)
(7,345)
0.04 7,345
62 📉
(Org: 55)
(7,308)
0.01 7,308
63 ➡️
(Org: 63)
(7,222)
0.05 7,222
64 📉
(Org: 58)
(7,163)
0.02 7,163
65 📈
(Org: 67)
(7,162)
0.13 7,162
66 📉
(Org: 57)
(7,032)
0 7,032
67 📉
(Org: 60)
(6,963)
- 6,963
68 📉
(Org: 61)
(6,951)
- 6,951
69 📉
(Org: 62)
(6,945)
- 6,945
70 📈
(Org: 76)
(6,897)
0.17 6,897
71 📉
(Org: 64)
(6,780)
0.01 6,780
72 📈
(Org: 75)
(6,758)
0.13 6,758
73 📈
(Org: 121)
(6,523)
0.53 6,523
74 📈
(Org: 107)
(6,410)
0.43 6,410
75 📉
(Org: 69)
(6,364)
0.02 6,364
76 📈
(Org: 78)
(6,266)
0.09 6,266
77 ➡️
(Org: 77)
(6,199)
0.08 6,199
78 📉
(Org: 71)
(6,102)
0.01 6,102
79 📉
(Org: 72)
(6,041)
- 6,041
80 📉
(Org: 74)
(6,028)
0.02 6,028
81 📉
(Org: 73)
(5,953)
0.01 5,953
82 📈
(Org: 87)
(5,565)
0.17 5,565
83 📈
(Org: 99)
(5,559)
0.31 5,559
84 📉
(Org: 79)
(5,555)
0 5,555
85 📉
(Org: 80)
(5,410)
0 5,410
86 📉
(Org: 83)
(5,400)
0.04 5,400
87 📉
(Org: 81)
(5,370)
- 5,370
88 📉
(Org: 82)
(5,339)
0 5,339
89 📈
(Org: 94)
(5,227)
0.23 5,227
90 📈
(Org: 124)
(5,155)
0.41 5,155
91 ➡️
(Org: 91)
(4,917)
0.11 4,917
92 📈
(Org: 111)
(4,889)
0.33 4,889
93 📈
(Org: 112)
(4,826)
0.33 4,826
94 📉
(Org: 90)
(4,751)
0.08 4,751
95 📉
(Org: 88)
(4,645)
0.04 4,645
96 📈
(Org: 154)
(4,585)
0.42 4,585
97 📈
(Org: 145)
(4,491)
0.38 4,491
98 📉
(Org: 89)
(4,445)
0 4,445
99 📉
(Org: 92)
(4,284)
- 4,284
100 📉
(Org: 93)
(4,265)
0.01 4,265