Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2017 - 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: 20)
(23,406)
0.55 23,406
2 📉
(Org: 1)
(19,046)
0.01 19,046
3 📉
(Org: 2)
(18,584)
0 18,584
4 📈
(Org: 17)
(15,708)
0.28 15,708
5 📈
(Org: 26)
(15,153)
0.37 15,153
6 📉
(Org: 3)
(15,065)
0 15,065
7 📈
(Org: 11)
(14,863)
0.12 14,863
8 📉
(Org: 4)
(14,396)
0 14,396
9 📈
(Org: 34)
(14,348)
0.39 14,348
10 📉
(Org: 5)
(14,192)
0.01 14,192
11 📉
(Org: 7)
(14,131)
0.04 14,131
12 📉
(Org: 6)
(13,918)
0 13,918
13 📉
(Org: 8)
(13,659)
0.02 13,659
14 📉
(Org: 9)
(13,463)
0.01 13,463
15 📉
(Org: 10)
(13,282)
0 13,282
16 📉
(Org: 12)
(13,150)
0.03 13,150
17 📉
(Org: 13)
(12,588)
0 12,588
18 📉
(Org: 14)
(12,521)
0 12,521
19 📉
(Org: 16)
(12,252)
0.04 12,252
20 📈
(Org: 24)
(12,171)
0.19 12,171
21 📉
(Org: 15)
(11,818)
0.01 11,818
22 📈
(Org: 45)
(11,137)
0.33 11,137
23 📉
(Org: 19)
(10,578)
0.01 10,578
24 📉
(Org: 18)
(10,531)
0 10,531
25 📉
(Org: 21)
(10,477)
0 10,477
26 📉
(Org: 22)
(10,251)
0 10,251
27 📉
(Org: 23)
(10,218)
0 10,218
28 📈
(Org: 42)
(10,012)
0.22 10,012
29 ➡️
(Org: 29)
(9,908)
0.06 9,908
30 📉
(Org: 27)
(9,890)
0.04 9,890
31 📉
(Org: 25)
(9,770)
0 9,770
32 ➡️
(Org: 32)
(9,531)
0.07 9,531
33 📉
(Org: 28)
(9,363)
- 9,363
34 📈
(Org: 50)
(9,325)
0.23 9,325
35 📉
(Org: 31)
(9,314)
0.01 9,314
36 📉
(Org: 30)
(9,301)
0.01 9,301
37 📈
(Org: 98)
(9,298)
0.57 9,298
38 📈
(Org: 39)
(9,101)
0.09 9,101
39 📈
(Org: 56)
(9,050)
0.29 9,050
40 📉
(Org: 33)
(8,872)
- 8,872
41 📈
(Org: 87)
(8,779)
0.47 8,779
42 📉
(Org: 35)
(8,778)
0.03 8,778
43 📉
(Org: 35)
(8,556)
0.01 8,556
44 📉
(Org: 37)
(8,554)
0.01 8,554
45 📉
(Org: 38)
(8,379)
0 8,379
46 📉
(Org: 41)
(8,335)
0.02 8,335
47 📉
(Org: 40)
(8,285)
- 8,285
48 📈
(Org: 68)
(7,977)
0.33 7,977
49 📉
(Org: 44)
(7,778)
0.01 7,778
50 📈
(Org: 55)
(7,693)
0.15 7,693
51 📈
(Org: 57)
(7,648)
0.17 7,648
52 📉
(Org: 47)
(7,567)
0.05 7,567
53 📉
(Org: 49)
(7,557)
0.05 7,557
54 📉
(Org: 46)
(7,459)
0.03 7,459
55 📈
(Org: 60)
(7,311)
0.18 7,311
56 📉
(Org: 48)
(7,189)
- 7,189
57 📉
(Org: 51)
(7,083)
0 7,083
58 📉
(Org: 52)
(7,021)
- 7,021
59 📉
(Org: 54)
(6,773)
0.02 6,773
60 📉
(Org: 53)
(6,754)
- 6,754
61 📈
(Org: 70)
(6,607)
0.2 6,607
62 📈
(Org: 72)
(6,558)
0.21 6,558
63 📈
(Org: 74)
(6,334)
0.19 6,334
64 📉
(Org: 58)
(6,233)
- 6,233
65 📈
(Org: 83)
(6,168)
0.23 6,168
66 📉
(Org: 59)
(6,126)
0.01 6,126
67 📉
(Org: 61)
(5,978)
0 5,978
68 📉
(Org: 62)
(5,977)
0 5,977
69 📉
(Org: 63)
(5,887)
0 5,887
70 📉
(Org: 64)
(5,838)
0.01 5,838
71 📈
(Org: 86)
(5,594)
0.16 5,594
72 📉
(Org: 66)
(5,579)
0.01 5,579
73 📉
(Org: 65)
(5,566)
- 5,566
74 📉
(Org: 69)
(5,500)
0.03 5,500
75 📈
(Org: 110)
(5,442)
0.33 5,442
76 📉
(Org: 67)
(5,412)
0 5,412
77 📉
(Org: 76)
(5,388)
0.07 5,388
78 📉
(Org: 73)
(5,356)
0.03 5,356
79 📈
(Org: 92)
(5,316)
0.2 5,316
80 📉
(Org: 71)
(5,280)
0 5,280
81 📉
(Org: 75)
(5,169)
0.02 5,169
82 📈
(Org: 143)
(5,148)
0.46 5,148
83 📈
(Org: 160)
(5,123)
0.52 5,123
84 📉
(Org: 78)
(5,052)
0.02 5,052
85 📉
(Org: 77)
(4,956)
0 4,956
86 📉
(Org: 84)
(4,951)
0.04 4,951
87 📉
(Org: 82)
(4,856)
0.02 4,856
88 📉
(Org: 81)
(4,813)
- 4,813
89 📉
(Org: 88)
(4,803)
0.04 4,803
90 📉
(Org: 85)
(4,774)
0.01 4,774
91 📈
(Org: 119)
(4,708)
0.29 4,708
92 📉
(Org: 89)
(4,527)
0 4,527
93 📈
(Org: 94)
(4,476)
0.07 4,476
94 📉
(Org: 90)
(4,381)
- 4,381
95 📈
(Org: 141)
(4,337)
0.35 4,337
96 📉
(Org: 91)
(4,285)
0 4,285
97 📈
(Org: 130)
(4,265)
0.28 4,265
98 📉
(Org: 93)
(4,240)
0.01 4,240
99 📈
(Org: 103)
(4,238)
0.1 4,238
100 📈
(Org: 101)
(4,207)
0.09 4,207