Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2011 - 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: 4)
(25,540)
0.33 25,540
2 📈
(Org: 9)
(22,253)
0.3 22,253
3 📉
(Org: 1)
(20,695)
0.01 20,695
4 📈
(Org: 23)
(20,313)
0.39 20,313
5 📉
(Org: 2)
(20,284)
0.04 20,284
6 ➡️
(Org: 6)
(17,458)
0.04 17,458
7 📉
(Org: 3)
(17,387)
0 17,387
8 📉
(Org: 5)
(16,973)
0.01 16,973
9 📉
(Org: 7)
(16,791)
0.01 16,791
10 📈
(Org: 28)
(15,740)
0.33 15,740
11 📉
(Org: 8)
(15,736)
0 15,736
12 📉
(Org: 10)
(15,411)
0.01 15,411
13 📉
(Org: 12)
(14,883)
0.05 14,883
14 📈
(Org: 20)
(14,430)
0.1 14,430
15 📉
(Org: 11)
(14,289)
- 14,289
16 📉
(Org: 13)
(14,241)
0.02 14,241
17 📉
(Org: 14)
(13,875)
0.01 13,875
18 📉
(Org: 15)
(13,558)
0.01 13,558
19 📈
(Org: 32)
(13,443)
0.25 13,443
20 📉
(Org: 17)
(13,321)
0 13,321
21 📉
(Org: 16)
(13,296)
- 13,296
22 📉
(Org: 18)
(13,267)
0 13,267
23 📉
(Org: 19)
(13,204)
0.01 13,204
24 📉
(Org: 21)
(13,135)
0.01 13,135
25 📉
(Org: 22)
(13,101)
0.01 13,101
26 📈
(Org: 105)
(12,974)
0.71 12,974
27 📈
(Org: 36)
(12,635)
0.29 12,635
28 📉
(Org: 24)
(12,578)
0.02 12,578
29 📈
(Org: 31)
(12,233)
0.16 12,233
30 📈
(Org: 34)
(12,132)
0.2 12,132
31 📈
(Org: 42)
(11,920)
0.28 11,920
32 📉
(Org: 29)
(11,866)
0.12 11,866
33 📉
(Org: 25)
(11,615)
0.01 11,615
34 📉
(Org: 27)
(11,471)
0.04 11,471
35 📉
(Org: 26)
(11,437)
0.01 11,437
36 📉
(Org: 33)
(10,748)
0.09 10,748
37 📉
(Org: 35)
(10,658)
0.1 10,658
38 📈
(Org: 54)
(10,640)
0.3 10,640
39 📉
(Org: 30)
(10,334)
- 10,334
40 📈
(Org: 41)
(9,344)
0.08 9,344
41 📉
(Org: 37)
(9,053)
0 9,053
42 📈
(Org: 43)
(8,995)
0.05 8,995
43 📉
(Org: 38)
(8,949)
0.01 8,949
44 📈
(Org: 53)
(8,833)
0.15 8,833
45 📉
(Org: 39)
(8,803)
0.01 8,803
46 📉
(Org: 40)
(8,691)
0 8,691
47 📉
(Org: 46)
(8,683)
0.07 8,683
48 📉
(Org: 45)
(8,547)
0.04 8,547
49 📉
(Org: 44)
(8,348)
0 8,348
50 📉
(Org: 47)
(8,217)
0.05 8,217
51 ➡️
(Org: 51)
(8,056)
0.05 8,056
52 📈
(Org: 64)
(7,900)
0.14 7,900
53 📉
(Org: 50)
(7,816)
0.02 7,816
54 📉
(Org: 48)
(7,759)
0.01 7,759
55 📉
(Org: 49)
(7,638)
0 7,638
56 📉
(Org: 52)
(7,536)
- 7,536
57 📈
(Org: 110)
(7,490)
0.53 7,490
58 ➡️
(Org: 58)
(7,443)
0.03 7,443
59 📈
(Org: 74)
(7,396)
0.24 7,396
60 📉
(Org: 55)
(7,385)
0 7,385
61 📉
(Org: 56)
(7,349)
- 7,349
62 📈
(Org: 63)
(7,310)
0.05 7,310
63 📉
(Org: 57)
(7,301)
0.01 7,301
64 📉
(Org: 59)
(7,265)
0.02 7,265
65 📈
(Org: 77)
(7,240)
0.25 7,240
66 📉
(Org: 60)
(7,195)
0.02 7,195
67 📈
(Org: 71)
(7,016)
0.17 7,016
68 📉
(Org: 61)
(6,985)
- 6,985
69 📉
(Org: 62)
(6,984)
- 6,984
70 📉
(Org: 65)
(6,763)
- 6,763
71 📉
(Org: 67)
(6,730)
0.02 6,730
72 📉
(Org: 69)
(6,722)
0.08 6,722
73 📉
(Org: 66)
(6,719)
0.01 6,719
74 📈
(Org: 104)
(6,601)
0.43 6,601
75 📉
(Org: 68)
(6,584)
0.01 6,584
76 📉
(Org: 75)
(6,437)
0.13 6,437
77 📈
(Org: 98)
(6,275)
0.37 6,275
78 📉
(Org: 72)
(6,189)
0.09 6,189
79 📈
(Org: 106)
(5,951)
0.37 5,951
80 📈
(Org: 85)
(5,856)
0.16 5,856
81 📈
(Org: 83)
(5,726)
0.11 5,726
82 📈
(Org: 121)
(5,663)
0.42 5,663
83 📉
(Org: 73)
(5,662)
0.01 5,662
84 📉
(Org: 76)
(5,470)
0 5,470
85 📉
(Org: 78)
(5,436)
0 5,436
86 📉
(Org: 82)
(5,377)
0.04 5,377
87 📉
(Org: 79)
(5,296)
- 5,296
88 📉
(Org: 80)
(5,293)
0 5,293
89 📉
(Org: 81)
(5,241)
0 5,241
90 📈
(Org: 97)
(5,222)
0.24 5,222
91 📉
(Org: 90)
(5,090)
0.1 5,090
92 📈
(Org: 125)
(5,083)
0.37 5,083
93 📉
(Org: 88)
(5,064)
0.07 5,064
94 📉
(Org: 87)
(4,947)
0.04 4,947
95 📈
(Org: 138)
(4,888)
0.38 4,888
96 📈
(Org: 115)
(4,868)
0.31 4,868
97 📈
(Org: 124)
(4,803)
0.33 4,803
98 📉
(Org: 89)
(4,682)
- 4,682
99 📉
(Org: 94)
(4,560)
0.09 4,560
100 📈
(Org: 161)
(4,335)
0.44 4,335