Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1931 - 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)
(60,533)
0 60,533
2 ➡️
(Org: 2)
(51,213)
- 51,213
3 ➡️
(Org: 3)
(48,520)
0 48,520
4 ➡️
(Org: 4)
(43,316)
0 43,316
5 ➡️
(Org: 5)
(31,828)
0 31,828
6 ➡️
(Org: 6)
(29,951)
0 29,951
7 ➡️
(Org: 7)
(29,102)
- 29,102
8 ➡️
(Org: 8)
(20,714)
0 20,714
9 ➡️
(Org: 9)
(19,448)
0.01 19,448
10 ➡️
(Org: 10)
(16,960)
0.01 16,960
11 ➡️
(Org: 11)
(15,652)
0 15,652
12 ➡️
(Org: 12)
(12,268)
0 12,268
13 ➡️
(Org: 13)
(11,783)
- 11,783
14 ➡️
(Org: 14)
(11,586)
0 11,586
15 ➡️
(Org: 15)
(11,530)
0 11,530
16 ➡️
(Org: 16)
(11,472)
- 11,472
17 ➡️
(Org: 17)
(10,854)
- 10,854
18 ➡️
(Org: 18)
(10,725)
0 10,725
19 ➡️
(Org: 19)
(10,638)
0.13 10,638
20 ➡️
(Org: 20)
(8,940)
- 8,940
21 ➡️
(Org: 21)
(8,180)
0 8,180
22 ➡️
(Org: 22)
(7,850)
0.01 7,850
23 ➡️
(Org: 23)
(7,560)
0 7,560
24 📈
(Org: 28)
(7,238)
0.09 7,238
25 📉
(Org: 24)
(7,131)
- 7,131
26 ➡️
(Org: 26)
(7,077)
0.04 7,077
27 📉
(Org: 25)
(6,969)
0 6,969
28 📉
(Org: 27)
(6,736)
0 6,736
29 📈
(Org: 32)
(6,631)
0.12 6,631
30 📉
(Org: 29)
(6,490)
0.01 6,490
31 📈
(Org: 38)
(6,064)
0.12 6,064
32 📉
(Org: 30)
(6,058)
0 6,058
33 📉
(Org: 31)
(6,005)
0.01 6,005
34 📈
(Org: 37)
(5,785)
0.06 5,785
35 📉
(Org: 33)
(5,707)
0 5,707
36 📉
(Org: 34)
(5,633)
0 5,633
37 📉
(Org: 35)
(5,568)
0.01 5,568
38 📉
(Org: 36)
(5,435)
0 5,435
39 📈
(Org: 40)
(5,234)
0.04 5,234
40 📈
(Org: 47)
(5,214)
0.18 5,214
41 📉
(Org: 39)
(5,067)
0 5,067
42 ➡️
(Org: 42)
(4,853)
0.02 4,853
43 📉
(Org: 41)
(4,802)
0 4,802
44 📈
(Org: 48)
(4,463)
0.04 4,463
45 📉
(Org: 43)
(4,437)
0.01 4,437
46 📈
(Org: 81)
(4,424)
0.48 4,424
47 📉
(Org: 44)
(4,387)
0.01 4,387
48 📉
(Org: 44)
(4,360)
- 4,360
49 📉
(Org: 46)
(4,310)
- 4,310
50 📉
(Org: 49)
(4,223)
0 4,223
51 📈
(Org: 72)
(4,187)
0.37 4,187
52 📉
(Org: 50)
(3,949)
- 3,949
53 📈
(Org: 71)
(3,835)
0.31 3,835
54 📉
(Org: 53)
(3,767)
0.04 3,767
55 📉
(Org: 51)
(3,754)
0.01 3,754
56 📉
(Org: 52)
(3,653)
0 3,653
57 📉
(Org: 55)
(3,611)
0.03 3,611
58 📉
(Org: 54)
(3,544)
0.01 3,544
59 📉
(Org: 56)
(3,412)
0.01 3,412
60 📉
(Org: 59)
(3,261)
0.03 3,261
61 📈
(Org: 67)
(3,250)
0.17 3,250
62 📉
(Org: 57)
(3,217)
- 3,217
62 📉
(Org: 57)
(3,217)
- 3,217
64 📉
(Org: 60)
(3,191)
0.01 3,191
65 📈
(Org: 97)
(3,186)
0.41 3,186
66 📉
(Org: 63)
(3,129)
0.06 3,129
67 📉
(Org: 61)
(3,122)
- 3,122
68 📈
(Org: 73)
(3,069)
0.19 3,069
69 📉
(Org: 64)
(3,052)
0.09 3,052
70 📉
(Org: 62)
(3,036)
0.01 3,036
71 📉
(Org: 70)
(2,773)
0.04 2,773
72 📉
(Org: 66)
(2,714)
0 2,714
73 📉
(Org: 65)
(2,713)
- 2,713
74 📉
(Org: 69)
(2,707)
0 2,707
75 📉
(Org: 67)
(2,704)
- 2,704
76 📈
(Org: 117)
(2,491)
0.4 2,491
77 📉
(Org: 76)
(2,466)
0.03 2,466
78 📉
(Org: 74)
(2,465)
- 2,465
79 📉
(Org: 75)
(2,456)
0 2,456
80 📈
(Org: 87)
(2,435)
0.11 2,435
81 📉
(Org: 77)
(2,353)
0.01 2,353
82 📉
(Org: 78)
(2,318)
- 2,318
83 📉
(Org: 79)
(2,308)
- 2,308
84 📉
(Org: 80)
(2,299)
- 2,299
85 📉
(Org: 83)
(2,275)
0.01 2,275
86 📉
(Org: 82)
(2,265)
- 2,265
87 📉
(Org: 84)
(2,252)
0 2,252
88 📉
(Org: 85)
(2,250)
0.02 2,250
89 📈
(Org: 94)
(2,233)
0.12 2,233
90 📉
(Org: 86)
(2,168)
0 2,168
91 📉
(Org: 88)
(2,163)
0.01 2,163
92 📉
(Org: 90)
(2,158)
0.02 2,158
93 📉
(Org: 91)
(2,103)
- 2,103
94 📈
(Org: 110)
(2,096)
0.24 2,096
95 📉
(Org: 93)
(2,033)
0.03 2,033
96 📉
(Org: 95)
(2,019)
0.03 2,019
97 📉
(Org: 92)
(1,993)
- 1,993
98 📉
(Org: 96)
(1,919)
- 1,919
99 📈
(Org: 107)
(1,905)
0.11 1,905
100 📉
(Org: 98)
(1,835)
- 1,835