Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2007 - 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: 18)
(25,808)
0.41 25,808
2 📉
(Org: 1)
(24,538)
0.01 24,538
3 📉
(Org: 2)
(22,925)
0.04 22,925
4 📈
(Org: 6)
(22,068)
0.09 22,068
5 📉
(Org: 3)
(21,147)
0.01 21,147
6 📉
(Org: 4)
(20,796)
0.01 20,796
7 📉
(Org: 5)
(20,435)
0.01 20,435
8 📈
(Org: 24)
(20,072)
0.32 20,072
9 ➡️
(Org: 9)
(19,698)
0.05 19,698
10 📉
(Org: 7)
(19,637)
- 19,637
11 📉
(Org: 8)
(18,921)
0 18,921
12 📈
(Org: 20)
(18,853)
0.24 18,853
13 📉
(Org: 10)
(18,460)
- 18,460
14 📉
(Org: 11)
(18,181)
0 18,181
15 📈
(Org: 27)
(17,599)
0.25 17,599
16 📉
(Org: 12)
(17,571)
0 17,571
17 📉
(Org: 13)
(17,487)
0.01 17,487
18 📈
(Org: 23)
(16,788)
0.18 16,788
19 📉
(Org: 14)
(16,685)
0 16,685
20 📉
(Org: 15)
(16,042)
0 16,042
21 📉
(Org: 16)
(15,823)
0.01 15,823
22 📉
(Org: 17)
(15,469)
0.01 15,469
23 📉
(Org: 19)
(15,051)
0.04 15,051
24 📈
(Org: 33)
(14,967)
0.22 14,967
25 📈
(Org: 36)
(14,832)
0.26 14,832
26 📈
(Org: 29)
(14,532)
0.12 14,532
27 📈
(Org: 92)
(14,373)
0.65 14,373
28 📉
(Org: 21)
(14,311)
0.01 14,311
29 📉
(Org: 22)
(14,062)
- 14,062
30 📉
(Org: 25)
(13,456)
0.01 13,456
31 📈
(Org: 78)
(13,442)
0.54 13,442
32 📉
(Org: 26)
(13,404)
0.01 13,404
33 📉
(Org: 28)
(13,131)
0.02 13,131
34 📉
(Org: 31)
(12,812)
0.05 12,812
35 📉
(Org: 30)
(12,640)
0.02 12,640
36 📈
(Org: 64)
(12,623)
0.43 12,623
37 📈
(Org: 55)
(12,058)
0.31 12,058
38 📈
(Org: 42)
(12,046)
0.15 12,046
39 📉
(Org: 32)
(11,911)
0 11,911
40 📈
(Org: 49)
(11,618)
0.22 11,618
41 ➡️
(Org: 41)
(11,498)
0.11 11,498
42 📉
(Org: 34)
(11,390)
0 11,390
43 📉
(Org: 35)
(11,252)
- 11,252
44 📉
(Org: 37)
(11,129)
0.03 11,129
45 📉
(Org: 38)
(11,038)
0.03 11,038
46 📉
(Org: 43)
(10,867)
0.07 10,867
47 📉
(Org: 39)
(10,864)
0.03 10,864
48 📉
(Org: 44)
(10,796)
0.07 10,796
49 📈
(Org: 83)
(10,500)
0.43 10,500
50 📈
(Org: 53)
(10,406)
0.16 10,406
51 📉
(Org: 50)
(10,339)
0.13 10,339
52 📉
(Org: 40)
(10,328)
0 10,328
53 📉
(Org: 45)
(10,273)
0.02 10,273
54 📉
(Org: 46)
(9,726)
0.01 9,726
55 📉
(Org: 52)
(9,447)
0.05 9,447
56 📉
(Org: 51)
(9,446)
0.05 9,446
57 📈
(Org: 76)
(9,406)
0.34 9,406
58 📉
(Org: 47)
(9,388)
- 9,388
59 📉
(Org: 48)
(9,377)
0.02 9,377
60 📉
(Org: 59)
(9,295)
0.13 9,295
61 📉
(Org: 54)
(8,425)
- 8,425
62 📉
(Org: 60)
(8,393)
0.04 8,393
63 📉
(Org: 56)
(8,247)
- 8,247
64 📉
(Org: 58)
(8,237)
0 8,237
65 📉
(Org: 57)
(8,223)
0 8,223
66 📉
(Org: 61)
(7,742)
- 7,742
67 📈
(Org: 85)
(7,502)
0.28 7,502
68 📉
(Org: 62)
(7,452)
- 7,452
69 📉
(Org: 63)
(7,420)
- 7,420
70 📈
(Org: 71)
(7,025)
0.11 7,025
71 📉
(Org: 66)
(6,955)
0.03 6,955
72 📈
(Org: 97)
(6,944)
0.34 6,944
73 📈
(Org: 75)
(6,839)
0.09 6,839
74 📉
(Org: 65)
(6,817)
0 6,817
75 📉
(Org: 67)
(6,630)
- 6,630
76 📉
(Org: 69)
(6,588)
0.01 6,588
77 📉
(Org: 68)
(6,567)
0 6,567
78 📈
(Org: 79)
(6,491)
0.05 6,491
79 📉
(Org: 70)
(6,420)
- 6,420
80 ➡️
(Org: 80)
(6,369)
0.04 6,369
81 📉
(Org: 72)
(6,321)
0.01 6,321
82 📉
(Org: 73)
(6,317)
0.01 6,317
83 📉
(Org: 77)
(6,222)
- 6,222
84 ➡️
(Org: 84)
(6,176)
0.08 6,176
85 📈
(Org: 119)
(6,050)
0.4 6,050
86 📈
(Org: 91)
(5,667)
0.1 5,667
87 ➡️
(Org: 87)
(5,535)
0.04 5,535
88 📉
(Org: 86)
(5,405)
0.01 5,405
89 📉
(Org: 88)
(5,333)
0.01 5,333
90 📈
(Org: 137)
(5,300)
0.44 5,300
91 📉
(Org: 90)
(5,179)
0.01 5,179
92 📉
(Org: 89)
(5,165)
0 5,165
93 ➡️
(Org: 93)
(4,994)
0.01 4,994
94 📈
(Org: 106)
(4,989)
0.15 4,989
95 📉
(Org: 94)
(4,940)
0.01 4,940
96 📈
(Org: 118)
(4,876)
0.25 4,876
97 📈
(Org: 107)
(4,806)
0.14 4,806
98 📉
(Org: 96)
(4,777)
0.03 4,777
99 📈
(Org: 142)
(4,751)
0.4 4,751
100 📈
(Org: 125)
(4,701)
0.28 4,701