Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2013 - 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: 16)
(24,884)
0.49 24,884
2 📈
(Org: 9)
(22,535)
0.34 22,535
3 📈
(Org: 12)
(20,260)
0.33 20,260
4 📉
(Org: 2)
(18,471)
0.01 18,471
5 📉
(Org: 4)
(18,445)
0.04 18,445
6 📉
(Org: 1)
(18,377)
0 18,377
7 📉
(Org: 3)
(18,339)
0.01 18,339
8 📉
(Org: 5)
(16,690)
0 16,690
9 📉
(Org: 6)
(16,357)
0.01 16,357
10 📉
(Org: 7)
(16,087)
0.03 16,087
11 📉
(Org: 8)
(14,946)
0 14,946
12 📈
(Org: 31)
(14,437)
0.33 14,437
13 📉
(Org: 10)
(14,410)
0.01 14,410
14 📈
(Org: 15)
(14,044)
0.05 14,044
15 📉
(Org: 11)
(14,025)
0.01 14,025
16 📈
(Org: 66)
(13,886)
0.54 13,886
17 📉
(Org: 13)
(13,641)
0 13,641
18 📉
(Org: 14)
(13,616)
0.01 13,616
19 📈
(Org: 23)
(13,153)
0.12 13,153
20 📈
(Org: 32)
(12,550)
0.23 12,550
21 📉
(Org: 18)
(12,496)
0.01 12,496
22 📉
(Org: 17)
(12,403)
0 12,403
23 📉
(Org: 20)
(12,353)
0.01 12,353
24 📉
(Org: 19)
(12,293)
- 12,293
25 📈
(Org: 26)
(11,976)
0.09 11,976
26 📈
(Org: 93)
(11,938)
0.63 11,938
27 📉
(Org: 21)
(11,919)
0.01 11,919
28 📉
(Org: 22)
(11,682)
- 11,682
29 📉
(Org: 24)
(11,405)
0.01 11,405
30 📉
(Org: 25)
(11,195)
0.01 11,195
31 📉
(Org: 27)
(11,159)
0.04 11,159
32 📉
(Org: 28)
(11,056)
0.08 11,056
33 📉
(Org: 29)
(11,014)
0.08 11,014
34 📉
(Org: 33)
(10,797)
0.11 10,797
35 📈
(Org: 39)
(10,769)
0.19 10,769
36 📈
(Org: 54)
(10,214)
0.3 10,214
37 📈
(Org: 41)
(10,175)
0.16 10,175
38 📉
(Org: 30)
(9,981)
0.01 9,981
39 📈
(Org: 48)
(9,956)
0.25 9,956
40 📈
(Org: 56)
(9,841)
0.28 9,841
41 📉
(Org: 34)
(9,680)
0.01 9,680
42 📉
(Org: 35)
(9,350)
- 9,350
43 📉
(Org: 36)
(8,985)
- 8,985
44 📉
(Org: 37)
(8,981)
0.01 8,981
45 📉
(Org: 40)
(8,927)
0.04 8,927
46 📈
(Org: 77)
(8,770)
0.37 8,770
47 📉
(Org: 38)
(8,766)
- 8,766
48 📉
(Org: 42)
(8,636)
0.01 8,636
49 📉
(Org: 44)
(8,218)
0.04 8,218
49 📈
(Org: 65)
(8,218)
0.21 8,218
51 📉
(Org: 43)
(8,137)
0.02 8,137
52 📈
(Org: 59)
(8,100)
0.15 8,100
53 📈
(Org: 68)
(8,096)
0.22 8,096
54 📉
(Org: 51)
(7,717)
0.05 7,717
55 📉
(Org: 47)
(7,651)
0.02 7,651
56 📉
(Org: 53)
(7,616)
0.05 7,616
57 📉
(Org: 46)
(7,590)
0.01 7,590
58 📉
(Org: 49)
(7,496)
0.01 7,496
59 📉
(Org: 50)
(7,466)
0.01 7,466
60 📉
(Org: 52)
(7,305)
0 7,305
61 ➡️
(Org: 61)
(7,155)
0.05 7,155
62 📉
(Org: 55)
(7,152)
0 7,152
63 📈
(Org: 79)
(7,053)
0.22 7,053
64 📉
(Org: 57)
(7,025)
- 7,025
65 📉
(Org: 58)
(6,989)
- 6,989
66 📉
(Org: 60)
(6,854)
- 6,854
67 📉
(Org: 63)
(6,733)
0.01 6,733
68 📉
(Org: 62)
(6,721)
- 6,721
69 📉
(Org: 64)
(6,635)
0.02 6,635
70 📈
(Org: 73)
(6,556)
0.12 6,556
71 📉
(Org: 70)
(6,483)
0.04 6,483
72 📉
(Org: 67)
(6,369)
- 6,369
73 📉
(Org: 69)
(6,336)
0 6,336
74 📈
(Org: 133)
(6,132)
0.53 6,132
75 📉
(Org: 72)
(6,084)
0.02 6,084
76 📈
(Org: 81)
(6,059)
0.11 6,059
77 📈
(Org: 78)
(6,021)
0.08 6,021
78 📈
(Org: 80)
(5,927)
0.08 5,927
79 📈
(Org: 118)
(5,767)
0.43 5,767
80 📉
(Org: 75)
(5,691)
0.01 5,691
81 📉
(Org: 74)
(5,672)
- 5,672
82 📈
(Org: 90)
(5,634)
0.19 5,634
83 📈
(Org: 98)
(5,630)
0.29 5,630
84 📉
(Org: 76)
(5,627)
- 5,627
85 📉
(Org: 82)
(5,274)
0 5,274
86 📉
(Org: 84)
(5,107)
0.04 5,107
87 📈
(Org: 125)
(5,092)
0.4 5,092
88 📈
(Org: 122)
(5,061)
0.39 5,061
89 📈
(Org: 115)
(5,053)
0.32 5,053
90 📉
(Org: 83)
(5,008)
0 5,008
91 📉
(Org: 85)
(4,951)
0.02 4,951
92 📈
(Org: 102)
(4,902)
0.22 4,902
93 📈
(Org: 94)
(4,785)
0.09 4,785
94 📉
(Org: 86)
(4,752)
0 4,752
95 📉
(Org: 87)
(4,718)
0.01 4,718
96 📉
(Org: 88)
(4,683)
0.01 4,683
97 📈
(Org: 109)
(4,467)
0.2 4,467
98 📉
(Org: 97)
(4,396)
0.09 4,396
99 📈
(Org: 134)
(4,341)
0.33 4,341
100 📉
(Org: 96)
(4,177)
0.04 4,177