Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1934 - 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)
(55,848)
0 55,848
2 ➡️
(Org: 2)
(54,269)
- 54,269
3 ➡️
(Org: 3)
(47,244)
0.01 47,244
4 ➡️
(Org: 4)
(40,203)
0 40,203
5 ➡️
(Org: 5)
(33,172)
0 33,172
6 ➡️
(Org: 6)
(30,407)
- 30,407
7 ➡️
(Org: 7)
(29,815)
0 29,815
8 ➡️
(Org: 8)
(18,543)
0 18,543
9 ➡️
(Org: 9)
(17,517)
0.01 17,517
10 ➡️
(Org: 10)
(17,210)
0.01 17,210
11 ➡️
(Org: 11)
(14,103)
0 14,103
12 ➡️
(Org: 12)
(14,003)
- 14,003
13 ➡️
(Org: 13)
(13,917)
- 13,917
14 ➡️
(Org: 14)
(12,211)
0 12,211
15 ➡️
(Org: 15)
(11,807)
0 11,807
16 ➡️
(Org: 16)
(10,636)
- 10,636
17 📈
(Org: 20)
(10,623)
0.1 10,623
18 📉
(Org: 17)
(10,042)
0.01 10,042
19 📉
(Org: 18)
(9,950)
0 9,950
20 📉
(Org: 19)
(9,593)
0 9,593
21 📈
(Org: 23)
(8,207)
0.08 8,207
22 ➡️
(Org: 22)
(8,119)
0.04 8,119
23 📉
(Org: 21)
(8,092)
- 8,092
24 📈
(Org: 28)
(7,395)
0.1 7,395
25 ➡️
(Org: 25)
(7,244)
0.02 7,244
26 📉
(Org: 24)
(7,175)
0 7,175
27 📉
(Org: 26)
(7,121)
0 7,121
28 📉
(Org: 27)
(6,779)
0.01 6,779
29 📈
(Org: 56)
(6,551)
0.44 6,551
30 📉
(Org: 29)
(6,496)
0.01 6,496
31 📉
(Org: 30)
(6,384)
0.01 6,384
32 📉
(Org: 31)
(6,282)
- 6,282
33 📈
(Org: 34)
(6,008)
0.11 6,008
34 📉
(Org: 32)
(6,003)
- 6,003
35 📉
(Org: 33)
(5,470)
0 5,470
36 📉
(Org: 35)
(5,188)
0.02 5,188
37 📉
(Org: 36)
(5,111)
0 5,111
38 📉
(Org: 37)
(5,075)
0 5,075
39 📈
(Org: 40)
(5,052)
0.07 5,052
40 📉
(Org: 38)
(4,997)
0 4,997
41 📉
(Org: 39)
(4,920)
0.03 4,920
42 📉
(Org: 41)
(4,809)
0.04 4,809
43 📈
(Org: 51)
(4,771)
0.19 4,771
44 📉
(Org: 42)
(4,544)
0.01 4,544
45 📉
(Org: 43)
(4,503)
0.01 4,503
46 📈
(Org: 69)
(4,379)
0.36 4,379
47 📉
(Org: 46)
(4,239)
0.02 4,239
48 📉
(Org: 44)
(4,222)
0 4,222
49 📉
(Org: 47)
(4,218)
0.03 4,218
50 📉
(Org: 45)
(4,213)
- 4,213
51 📉
(Org: 49)
(4,117)
0.03 4,117
52 📉
(Org: 50)
(4,036)
0.03 4,036
53 📉
(Org: 48)
(4,035)
- 4,035
54 📉
(Org: 53)
(4,012)
0.04 4,012
55 📉
(Org: 52)
(3,840)
- 3,840
56 📈
(Org: 81)
(3,783)
0.38 3,783
57 📉
(Org: 55)
(3,776)
0.02 3,776
58 📉
(Org: 54)
(3,774)
- 3,774
59 📉
(Org: 57)
(3,609)
0 3,609
60 📉
(Org: 58)
(3,573)
0 3,573
61 📉
(Org: 59)
(3,534)
- 3,534
62 📉
(Org: 60)
(3,366)
0 3,366
63 📉
(Org: 61)
(3,290)
- 3,290
64 📉
(Org: 62)
(3,262)
0.01 3,262
65 📉
(Org: 63)
(3,207)
0.01 3,207
66 📉
(Org: 65)
(3,171)
0.01 3,171
67 📉
(Org: 66)
(3,164)
0.01 3,164
68 📉
(Org: 64)
(3,159)
- 3,159
69 📉
(Org: 67)
(3,032)
0.06 3,032
70 📈
(Org: 77)
(3,025)
0.2 3,025
71 📈
(Org: 102)
(2,962)
0.37 2,962
72 📉
(Org: 70)
(2,912)
0.06 2,912
73 📈
(Org: 82)
(2,724)
0.14 2,724
74 📉
(Org: 71)
(2,698)
0.02 2,698
75 📉
(Org: 74)
(2,624)
0.04 2,624
76 📉
(Org: 72)
(2,599)
0.02 2,599
77 📉
(Org: 73)
(2,544)
0 2,544
78 📉
(Org: 75)
(2,478)
- 2,478
79 📉
(Org: 76)
(2,443)
- 2,443
80 📈
(Org: 83)
(2,442)
0.04 2,442
81 📉
(Org: 79)
(2,415)
0.02 2,415
82 📉
(Org: 78)
(2,401)
- 2,401
83 📈
(Org: 94)
(2,356)
0.12 2,356
84 📉
(Org: 80)
(2,348)
- 2,348
85 📉
(Org: 84)
(2,335)
0.01 2,335
86 📉
(Org: 85)
(2,326)
0 2,326
87 📉
(Org: 86)
(2,317)
0 2,317
88 📉
(Org: 87)
(2,306)
- 2,306
89 📉
(Org: 88)
(2,241)
- 2,241
90 📈
(Org: 92)
(2,230)
0.03 2,230
91 📉
(Org: 89)
(2,227)
- 2,227
92 📉
(Org: 90)
(2,207)
- 2,207
93 📈
(Org: 95)
(2,196)
0.07 2,196
94 📉
(Org: 91)
(2,178)
- 2,178
95 📈
(Org: 132)
(2,171)
0.43 2,171
96 📈
(Org: 100)
(2,151)
0.12 2,151
97 📉
(Org: 93)
(2,147)
- 2,147
98 📉
(Org: 96)
(2,024)
- 2,024
99 📉
(Org: 97)
(2,017)
0 2,017
100 📉
(Org: 99)
(1,982)
0.02 1,982