Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1997 - 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: 1)
(38,870)
0.03 38,870
2 ➡️
(Org: 2)
(34,289)
0 34,289
3 ➡️
(Org: 3)
(32,967)
0.04 32,967
4 📈
(Org: 6)
(31,586)
0.14 31,586
5 📉
(Org: 4)
(31,058)
0.06 31,058
6 📉
(Org: 5)
(28,433)
0.01 28,433
7 📈
(Org: 8)
(26,283)
0.04 26,283
8 📈
(Org: 9)
(25,617)
0.02 25,617
9 📈
(Org: 10)
(25,486)
0.02 25,486
10 📈
(Org: 13)
(25,213)
0.13 25,213
11 📉
(Org: 7)
(25,208)
- 25,208
12 📉
(Org: 11)
(24,110)
0.01 24,110
13 📉
(Org: 12)
(23,756)
0.01 23,756
14 📈
(Org: 21)
(23,070)
0.2 23,070
15 ➡️
(Org: 15)
(22,271)
0.04 22,271
16 📉
(Org: 14)
(21,902)
0 21,902
17 📉
(Org: 16)
(20,594)
0 20,594
18 📉
(Org: 17)
(20,463)
0 20,463
19 ➡️
(Org: 19)
(20,055)
0 20,055
20 📉
(Org: 18)
(20,033)
- 20,033
21 📉
(Org: 20)
(19,088)
0.02 19,088
22 ➡️
(Org: 22)
(17,138)
0 17,138
23 📈
(Org: 34)
(16,648)
0.37 16,648
24 📉
(Org: 23)
(16,303)
- 16,303
25 📈
(Org: 30)
(16,045)
0.19 16,045
26 📉
(Org: 24)
(15,946)
0 15,946
27 📉
(Org: 26)
(15,618)
0.05 15,618
28 📈
(Org: 37)
(15,400)
0.37 15,400
29 📉
(Org: 25)
(15,059)
- 15,059
30 📈
(Org: 35)
(14,880)
0.31 14,880
31 📉
(Org: 27)
(14,390)
0.01 14,390
32 📈
(Org: 40)
(14,181)
0.38 14,181
33 📉
(Org: 28)
(13,504)
0.02 13,504
34 📉
(Org: 29)
(13,402)
0.01 13,402
35 📉
(Org: 31)
(13,380)
0.04 13,380
36 📉
(Org: 32)
(11,927)
- 11,927
37 📈
(Org: 48)
(11,878)
0.35 11,878
38 📉
(Org: 36)
(11,803)
0.13 11,803
39 📉
(Org: 33)
(11,661)
0.04 11,661
40 📈
(Org: 52)
(9,956)
0.28 9,956
41 📈
(Org: 47)
(9,575)
0.19 9,575
42 📉
(Org: 41)
(9,442)
0.07 9,442
43 📉
(Org: 38)
(9,297)
0 9,297
44 📈
(Org: 45)
(9,016)
0.09 9,016
45 📉
(Org: 39)
(8,822)
0 8,822
46 📉
(Org: 42)
(8,636)
0 8,636
47 📉
(Org: 43)
(8,508)
0 8,508
48 📉
(Org: 44)
(8,405)
- 8,405
49 📉
(Org: 46)
(7,857)
0.01 7,857
50 📉
(Org: 49)
(7,656)
- 7,656
51 📉
(Org: 50)
(7,572)
0.01 7,572
52 📈
(Org: 58)
(7,524)
0.18 7,524
53 ➡️
(Org: 53)
(7,501)
0.05 7,501
54 📉
(Org: 51)
(7,247)
0 7,247
55 📈
(Org: 56)
(7,181)
0.07 7,181
56 📉
(Org: 54)
(7,118)
0 7,118
57 📈
(Org: 63)
(6,912)
0.14 6,912
58 📉
(Org: 55)
(6,879)
0 6,879
59 📈
(Org: 60)
(6,790)
0.12 6,790
60 📈
(Org: 122)
(6,508)
0.51 6,508
61 📉
(Org: 57)
(6,496)
0.01 6,496
62 📉
(Org: 59)
(6,348)
0.05 6,348
63 📉
(Org: 62)
(6,237)
0.04 6,237
64 📈
(Org: 110)
(6,217)
0.45 6,217
65 📈
(Org: 84)
(6,204)
0.26 6,204
66 📈
(Org: 106)
(6,151)
0.4 6,151
67 📉
(Org: 61)
(6,019)
0 6,019
68 📉
(Org: 64)
(5,972)
0.03 5,972
69 📉
(Org: 66)
(5,866)
0.03 5,866
70 📈
(Org: 73)
(5,802)
0.11 5,802
71 📉
(Org: 67)
(5,462)
- 5,462
72 ➡️
(Org: 72)
(5,427)
0.05 5,427
73 📉
(Org: 70)
(5,401)
0.04 5,401
74 📈
(Org: 85)
(5,358)
0.15 5,358
75 📈
(Org: 77)
(5,165)
0.04 5,165
76 📉
(Org: 71)
(5,164)
- 5,164
77 📉
(Org: 74)
(5,163)
0.01 5,163
78 📉
(Org: 76)
(5,155)
0.03 5,155
79 📉
(Org: 75)
(5,099)
0.01 5,099
80 📉
(Org: 78)
(5,056)
0.02 5,056
81 📉
(Org: 79)
(4,752)
- 4,752
82 📉
(Org: 80)
(4,748)
0 4,748
83 📈
(Org: 98)
(4,712)
0.14 4,712
84 📉
(Org: 81)
(4,684)
- 4,684
85 📉
(Org: 83)
(4,678)
0 4,678
86 📉
(Org: 82)
(4,676)
- 4,676
87 📉
(Org: 86)
(4,519)
0 4,519
88 📉
(Org: 87)
(4,507)
0.04 4,507
89 📈
(Org: 108)
(4,494)
0.2 4,494
90 📈
(Org: 94)
(4,409)
0.06 4,409
91 📉
(Org: 90)
(4,397)
0.04 4,397
92 📉
(Org: 88)
(4,391)
0.03 4,391
93 📈
(Org: 96)
(4,379)
0.07 4,379
94 📉
(Org: 92)
(4,375)
0.04 4,375
95 📉
(Org: 89)
(4,335)
0.02 4,335
96 📉
(Org: 91)
(4,281)
0.01 4,281
97 📈
(Org: 129)
(4,195)
0.3 4,195
98 📉
(Org: 93)
(4,182)
- 4,182
99 📉
(Org: 95)
(4,116)
- 4,116
100 📉
(Org: 97)
(4,048)
0 4,048