Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1939 - 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)
(59,665)
0 59,665
2 ➡️
(Org: 2)
(59,636)
- 59,636
3 ➡️
(Org: 3)
(52,493)
0.03 52,493
4 ➡️
(Org: 4)
(42,108)
0 42,108
5 ➡️
(Org: 5)
(35,395)
0 35,395
6 ➡️
(Org: 6)
(30,795)
0 30,795
7 ➡️
(Org: 7)
(25,359)
- 25,359
8 ➡️
(Org: 8)
(24,055)
- 24,055
9 ➡️
(Org: 9)
(22,238)
0 22,238
10 ➡️
(Org: 10)
(19,865)
0 19,865
11 ➡️
(Org: 11)
(17,925)
0 17,925
12 ➡️
(Org: 12)
(17,829)
0.01 17,829
13 ➡️
(Org: 13)
(14,731)
0 14,731
14 ➡️
(Org: 14)
(14,588)
0 14,588
15 ➡️
(Org: 15)
(14,428)
- 14,428
16 ➡️
(Org: 16)
(13,917)
0.01 13,917
17 ➡️
(Org: 17)
(13,356)
0 13,356
18 ➡️
(Org: 18)
(11,088)
0.02 11,088
19 ➡️
(Org: 19)
(10,535)
0.05 10,535
20 ➡️
(Org: 20)
(9,990)
- 9,990
21 ➡️
(Org: 21)
(9,722)
0 9,722
22 ➡️
(Org: 22)
(9,252)
- 9,252
23 ➡️
(Org: 23)
(8,320)
0 8,320
24 ➡️
(Org: 24)
(8,040)
0.07 8,040
25 📈
(Org: 29)
(7,552)
0.07 7,552
26 📈
(Org: 30)
(7,481)
0.12 7,481
27 📈
(Org: 28)
(7,450)
0.04 7,450
28 📉
(Org: 26)
(7,346)
0.01 7,346
29 📉
(Org: 25)
(7,323)
- 7,323
30 📈
(Org: 43)
(7,293)
0.35 7,293
31 📉
(Org: 27)
(7,209)
0 7,209
32 📈
(Org: 36)
(6,663)
0.12 6,663
33 📉
(Org: 31)
(6,593)
0 6,593
34 ➡️
(Org: 34)
(6,508)
0.05 6,508
35 📉
(Org: 32)
(6,411)
0 6,411
36 📉
(Org: 33)
(6,340)
0 6,340
37 📉
(Org: 35)
(5,963)
0 5,963
38 📉
(Org: 37)
(5,892)
0 5,892
39 📉
(Org: 38)
(5,842)
0.01 5,842
40 📉
(Org: 39)
(5,660)
0 5,660
41 📉
(Org: 40)
(5,548)
0 5,548
42 📉
(Org: 41)
(5,478)
- 5,478
43 📈
(Org: 66)
(5,359)
0.41 5,359
44 📉
(Org: 42)
(5,214)
0.01 5,214
45 📉
(Org: 44)
(4,752)
0 4,752
46 📉
(Org: 45)
(4,666)
0 4,666
47 📉
(Org: 46)
(4,645)
0 4,645
48 📉
(Org: 47)
(4,620)
0 4,620
49 📉
(Org: 48)
(4,609)
- 4,609
50 📉
(Org: 49)
(4,590)
0.08 4,590
51 📈
(Org: 55)
(4,496)
0.18 4,496
52 📈
(Org: 65)
(4,306)
0.26 4,306
53 📉
(Org: 51)
(4,126)
0.07 4,126
54 📉
(Org: 50)
(4,026)
0.03 4,026
55 📉
(Org: 54)
(3,869)
0.04 3,869
56 📈
(Org: 71)
(3,792)
0.22 3,792
57 📉
(Org: 53)
(3,786)
0.02 3,786
58 📉
(Org: 52)
(3,758)
- 3,758
59 📈
(Org: 87)
(3,731)
0.38 3,731
60 📉
(Org: 56)
(3,674)
0.02 3,674
61 📉
(Org: 58)
(3,620)
0.02 3,620
62 📉
(Org: 57)
(3,576)
0 3,576
63 📉
(Org: 59)
(3,545)
0 3,545
64 📉
(Org: 60)
(3,483)
- 3,483
65 📉
(Org: 62)
(3,472)
0.03 3,472
66 📉
(Org: 61)
(3,393)
0 3,393
67 📉
(Org: 63)
(3,294)
0.01 3,294
68 📉
(Org: 64)
(3,233)
- 3,233
69 ➡️
(Org: 69)
(3,170)
0.05 3,170
70 📉
(Org: 67)
(3,161)
- 3,161
71 📉
(Org: 68)
(3,104)
0 3,104
72 📈
(Org: 109)
(3,085)
0.41 3,085
72 📈
(Org: 99)
(3,085)
0.35 3,085
74 📉
(Org: 70)
(2,990)
- 2,990
75 📉
(Org: 73)
(2,974)
0.05 2,974
76 📉
(Org: 72)
(2,929)
- 2,929
77 📉
(Org: 74)
(2,735)
0.01 2,735
78 📉
(Org: 76)
(2,645)
0.01 2,645
79 📉
(Org: 77)
(2,638)
0.01 2,638
80 📉
(Org: 75)
(2,636)
- 2,636
81 📉
(Org: 78)
(2,631)
0.02 2,631
82 📉
(Org: 81)
(2,620)
0.04 2,620
83 📉
(Org: 79)
(2,546)
0.01 2,546
84 📉
(Org: 82)
(2,544)
0.01 2,544
85 📈
(Org: 95)
(2,476)
0.16 2,476
86 📉
(Org: 83)
(2,443)
- 2,443
87 📉
(Org: 84)
(2,440)
- 2,440
88 📉
(Org: 85)
(2,330)
- 2,330
89 📉
(Org: 86)
(2,327)
- 2,327
90 📉
(Org: 88)
(2,298)
0 2,298
91 📉
(Org: 90)
(2,274)
0.03 2,274
92 📉
(Org: 89)
(2,244)
- 2,244
93 📉
(Org: 91)
(2,201)
0 2,201
94 📉
(Org: 93)
(2,160)
0 2,160
95 📉
(Org: 94)
(2,102)
0 2,102
96 📈
(Org: 106)
(2,096)
0.11 2,096
97 📈
(Org: 98)
(2,080)
0.03 2,080
98 📉
(Org: 96)
(2,063)
- 2,063
99 📉
(Org: 97)
(2,028)
- 2,028
100 ➡️
(Org: 100)
(2,000)
0 2,000