Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1935 - 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)
(56,530)
0 56,530
2 ➡️
(Org: 2)
(55,002)
- 55,002
3 ➡️
(Org: 3)
(48,068)
0.01 48,068
4 ➡️
(Org: 4)
(40,227)
0 40,227
5 ➡️
(Org: 5)
(33,953)
0 33,953
6 ➡️
(Org: 6)
(29,995)
0 29,995
7 ➡️
(Org: 7)
(29,673)
- 29,673
8 ➡️
(Org: 8)
(18,599)
0 18,599
9 ➡️
(Org: 9)
(17,820)
0.01 17,820
10 ➡️
(Org: 10)
(17,285)
0.01 17,285
11 ➡️
(Org: 11)
(15,662)
- 15,662
12 ➡️
(Org: 12)
(15,512)
0 15,512
13 ➡️
(Org: 13)
(13,844)
- 13,844
14 ➡️
(Org: 14)
(12,576)
0 12,576
15 ➡️
(Org: 15)
(12,084)
0 12,084
16 ➡️
(Org: 16)
(10,421)
- 10,421
17 📈
(Org: 19)
(10,099)
0.08 10,099
18 📉
(Org: 17)
(9,564)
- 9,564
19 📉
(Org: 18)
(9,476)
0 9,476
20 ➡️
(Org: 20)
(9,197)
0 9,197
21 ➡️
(Org: 21)
(8,761)
0.03 8,761
22 ➡️
(Org: 22)
(8,584)
0.02 8,584
23 📈
(Org: 24)
(8,321)
0.07 8,321
24 📉
(Org: 23)
(7,816)
- 7,816
25 ➡️
(Org: 25)
(7,588)
0 7,588
26 📈
(Org: 28)
(7,528)
0.11 7,528
27 📈
(Org: 47)
(7,030)
0.41 7,030
28 📉
(Org: 27)
(6,897)
0.01 6,897
29 📉
(Org: 26)
(6,879)
0 6,879
30 📉
(Org: 29)
(6,591)
0.01 6,591
31 📉
(Org: 30)
(6,358)
0 6,358
32 📉
(Org: 31)
(6,094)
- 6,094
33 📉
(Org: 32)
(6,090)
- 6,090
34 📉
(Org: 33)
(6,012)
0.01 6,012
35 ➡️
(Org: 35)
(5,987)
0.11 5,987
36 📉
(Org: 34)
(5,501)
0 5,501
37 📉
(Org: 36)
(5,320)
0.03 5,320
38 📉
(Org: 37)
(5,063)
0 5,063
39 📉
(Org: 38)
(5,051)
0 5,051
40 📈
(Org: 41)
(5,035)
0.03 5,035
41 📉
(Org: 40)
(5,018)
0.02 5,018
42 ➡️
(Org: 42)
(4,984)
0.07 4,984
43 📉
(Org: 39)
(4,970)
- 4,970
44 📈
(Org: 65)
(4,862)
0.37 4,862
45 📉
(Org: 43)
(4,621)
0.01 4,621
46 📈
(Org: 55)
(4,582)
0.19 4,582
47 📉
(Org: 44)
(4,503)
0 4,503
48 📉
(Org: 46)
(4,390)
0.04 4,390
49 📉
(Org: 45)
(4,278)
- 4,278
50 📉
(Org: 48)
(4,091)
0 4,091
51 📉
(Org: 49)
(4,057)
- 4,057
52 📉
(Org: 51)
(4,003)
0.02 4,003
53 📈
(Org: 54)
(3,986)
0.05 3,986
53 ➡️
(Org: 53)
(3,986)
0.02 3,986
55 📉
(Org: 50)
(3,918)
- 3,918
56 📉
(Org: 52)
(3,909)
- 3,909
57 📈
(Org: 78)
(3,833)
0.36 3,833
58 📉
(Org: 56)
(3,709)
0 3,709
59 📉
(Org: 57)
(3,690)
0.02 3,690
60 📉
(Org: 58)
(3,452)
0 3,452
61 📉
(Org: 59)
(3,426)
0 3,426
62 📉
(Org: 61)
(3,302)
0.01 3,302
63 📈
(Org: 73)
(3,301)
0.22 3,301
64 📉
(Org: 60)
(3,282)
- 3,282
65 📉
(Org: 62)
(3,197)
0.02 3,197
66 ➡️
(Org: 66)
(3,132)
0.06 3,132
67 📉
(Org: 63)
(3,128)
- 3,128
68 📉
(Org: 64)
(3,092)
0.01 3,092
69 📉
(Org: 68)
(2,999)
0.06 2,999
70 📈
(Org: 104)
(2,987)
0.38 2,987
71 📉
(Org: 67)
(2,962)
0.01 2,962
72 ➡️
(Org: 72)
(2,767)
0.06 2,767
73 📉
(Org: 71)
(2,706)
0.04 2,706
74 📈
(Org: 84)
(2,697)
0.15 2,697
75 📉
(Org: 70)
(2,688)
0.03 2,688
76 📉
(Org: 74)
(2,639)
0.04 2,639
77 📉
(Org: 75)
(2,566)
0.01 2,566
78 📉
(Org: 76)
(2,520)
0.01 2,520
79 ➡️
(Org: 79)
(2,512)
0.03 2,512
80 ➡️
(Org: 80)
(2,471)
0.02 2,471
81 📉
(Org: 77)
(2,447)
- 2,447
82 📉
(Org: 81)
(2,389)
- 2,389
83 📉
(Org: 82)
(2,375)
0.01 2,375
84 📈
(Org: 87)
(2,343)
0.03 2,343
85 📉
(Org: 83)
(2,312)
- 2,312
86 📉
(Org: 85)
(2,291)
- 2,291
87 📉
(Org: 86)
(2,282)
- 2,282
88 ➡️
(Org: 88)
(2,274)
0 2,274
89 ➡️
(Org: 89)
(2,257)
- 2,257
90 📈
(Org: 98)
(2,244)
0.12 2,244
90 ➡️
(Org: 90)
(2,244)
- 2,244
92 📈
(Org: 100)
(2,166)
0.11 2,166
93 📉
(Org: 91)
(2,165)
- 2,165
94 📉
(Org: 92)
(2,148)
0 2,148
95 📈
(Org: 130)
(2,142)
0.42 2,142
96 📉
(Org: 93)
(2,116)
- 2,116
96 📉
(Org: 94)
(2,116)
0 2,116
98 📈
(Org: 113)
(2,059)
0.2 2,059
99 📉
(Org: 95)
(2,046)
0.01 2,046
100 📉
(Org: 99)
(2,018)
0.03 2,018