Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1937 - 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)
(61,851)
0 61,851
2 ➡️
(Org: 2)
(56,562)
- 56,562
3 ➡️
(Org: 3)
(49,812)
0.02 49,812
4 ➡️
(Org: 4)
(40,759)
0 40,759
5 ➡️
(Org: 5)
(32,982)
0 32,982
6 ➡️
(Org: 6)
(30,532)
0 30,532
7 ➡️
(Org: 7)
(27,869)
- 27,869
8 ➡️
(Org: 8)
(20,980)
- 20,980
9 ➡️
(Org: 9)
(19,894)
0.01 19,894
10 ➡️
(Org: 10)
(18,464)
0 18,464
11 ➡️
(Org: 11)
(18,162)
0 18,162
12 ➡️
(Org: 12)
(17,422)
0.01 17,422
13 ➡️
(Org: 13)
(14,930)
- 14,930
14 ➡️
(Org: 14)
(13,230)
0 13,230
15 ➡️
(Org: 15)
(12,899)
0 12,899
16 📈
(Org: 17)
(10,481)
0.02 10,481
17 📉
(Org: 16)
(10,386)
0.01 10,386
18 ➡️
(Org: 18)
(10,126)
- 10,126
19 📈
(Org: 20)
(9,852)
0.04 9,852
20 📉
(Org: 19)
(9,571)
- 9,571
21 📈
(Org: 22)
(9,033)
0.08 9,033
22 📉
(Org: 21)
(8,576)
0 8,576
23 📈
(Org: 24)
(8,373)
0.08 8,373
24 📉
(Org: 23)
(8,228)
0 8,228
25 📈
(Org: 28)
(7,842)
0.12 7,842
26 📉
(Org: 25)
(7,773)
0 7,773
27 📉
(Org: 26)
(7,486)
- 7,486
28 📉
(Org: 27)
(7,237)
0.02 7,237
29 📈
(Org: 45)
(7,215)
0.37 7,215
30 📉
(Org: 29)
(6,773)
0 6,773
31 📉
(Org: 30)
(6,694)
0 6,694
32 📉
(Org: 31)
(6,362)
0.01 6,362
33 📉
(Org: 32)
(6,269)
0.01 6,269
34 📈
(Org: 38)
(6,147)
0.1 6,147
35 📉
(Org: 33)
(6,028)
0 6,028
36 ➡️
(Org: 36)
(5,933)
0.04 5,933
37 📉
(Org: 34)
(5,927)
0 5,927
38 📉
(Org: 35)
(5,751)
0 5,751
39 📉
(Org: 37)
(5,664)
- 5,664
40 📈
(Org: 62)
(5,183)
0.39 5,183
41 📉
(Org: 39)
(5,167)
0.01 5,167
42 📉
(Org: 40)
(4,960)
0.01 4,960
43 📉
(Org: 41)
(4,819)
0 4,819
44 📈
(Org: 46)
(4,713)
0.08 4,713
45 📉
(Org: 42)
(4,705)
0 4,705
46 📉
(Org: 43)
(4,683)
0 4,683
47 📉
(Org: 44)
(4,613)
- 4,613
48 📈
(Org: 53)
(4,592)
0.18 4,592
49 📉
(Org: 47)
(4,339)
- 4,339
50 ➡️
(Org: 50)
(4,111)
0.05 4,111
51 📉
(Org: 48)
(4,096)
0.04 4,096
52 📉
(Org: 49)
(3,920)
0 3,920
53 📉
(Org: 51)
(3,897)
0.02 3,897
54 📈
(Org: 55)
(3,815)
0.02 3,815
55 📉
(Org: 52)
(3,809)
- 3,809
56 📉
(Org: 54)
(3,761)
0 3,761
57 📈
(Org: 68)
(3,668)
0.22 3,668
58 ➡️
(Org: 58)
(3,664)
0.05 3,664
59 📈
(Org: 88)
(3,620)
0.37 3,620
60 📉
(Org: 56)
(3,555)
- 3,555
61 📉
(Org: 57)
(3,499)
0 3,499
62 📉
(Org: 59)
(3,366)
0.01 3,366
63 ➡️
(Org: 63)
(3,358)
0.06 3,358
64 📉
(Org: 61)
(3,321)
0.05 3,321
65 📉
(Org: 60)
(3,181)
- 3,181
66 📉
(Org: 64)
(3,119)
- 3,119
67 ➡️
(Org: 67)
(3,078)
0.06 3,078
68 📉
(Org: 66)
(3,060)
0.01 3,060
69 📉
(Org: 65)
(3,053)
0 3,053
70 📈
(Org: 102)
(2,929)
0.36 2,929
71 📉
(Org: 69)
(2,917)
0.03 2,917
72 📉
(Org: 70)
(2,809)
- 2,809
73 📉
(Org: 71)
(2,762)
0.01 2,762
74 📉
(Org: 73)
(2,696)
0.01 2,696
75 📈
(Org: 92)
(2,667)
0.2 2,667
76 📉
(Org: 74)
(2,662)
0.02 2,662
77 ➡️
(Org: 77)
(2,586)
0.03 2,586
78 📉
(Org: 75)
(2,574)
0.02 2,574
79 📈
(Org: 91)
(2,560)
0.16 2,560
80 📉
(Org: 78)
(2,556)
0.02 2,556
81 📉
(Org: 76)
(2,518)
- 2,518
82 📈
(Org: 83)
(2,456)
0.05 2,456
83 📉
(Org: 80)
(2,406)
0.01 2,406
84 📉
(Org: 79)
(2,405)
- 2,405
85 📈
(Org: 86)
(2,396)
0.03 2,396
86 📉
(Org: 81)
(2,364)
- 2,364
87 📉
(Org: 82)
(2,347)
- 2,347
88 📉
(Org: 84)
(2,344)
0.01 2,344
89 📉
(Org: 85)
(2,325)
- 2,325
90 📈
(Org: 128)
(2,312)
0.44 2,312
91 📉
(Org: 87)
(2,284)
0 2,284
92 📉
(Org: 88)
(2,268)
0 2,268
93 📉
(Org: 90)
(2,236)
0 2,236
94 📈
(Org: 95)
(2,132)
0.02 2,132
95 📉
(Org: 93)
(2,117)
0.01 2,117
96 📉
(Org: 94)
(2,107)
0.01 2,107
97 📈
(Org: 104)
(2,100)
0.13 2,100
98 📉
(Org: 96)
(2,076)
- 2,076
99 📉
(Org: 97)
(2,015)
- 2,015
100 📉
(Org: 99)
(1,986)
- 1,986