Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1940 - 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)
(62,481)
- 62,481
2 ➡️
(Org: 2)
(61,194)
- 61,194
3 ➡️
(Org: 3)
(56,355)
0.03 56,355
4 ➡️
(Org: 4)
(44,808)
0 44,808
5 ➡️
(Org: 5)
(37,425)
- 37,425
6 ➡️
(Org: 6)
(31,708)
0 31,708
7 ➡️
(Org: 7)
(27,698)
0 27,698
8 ➡️
(Org: 8)
(24,103)
0 24,103
9 ➡️
(Org: 9)
(23,113)
- 23,113
10 ➡️
(Org: 10)
(20,775)
0 20,775
11 ➡️
(Org: 11)
(18,343)
0 18,343
12 ➡️
(Org: 12)
(18,332)
0.01 18,332
13 ➡️
(Org: 13)
(17,265)
0 17,265
14 ➡️
(Org: 14)
(15,443)
0.01 15,443
15 ➡️
(Org: 15)
(15,141)
0 15,141
16 ➡️
(Org: 16)
(14,404)
- 14,404
17 ➡️
(Org: 17)
(14,113)
0 14,113
18 ➡️
(Org: 18)
(13,543)
0.02 13,543
19 ➡️
(Org: 19)
(12,601)
0 12,601
20 📈
(Org: 21)
(10,765)
0.05 10,765
21 📉
(Org: 20)
(10,596)
- 10,596
22 ➡️
(Org: 22)
(9,573)
0 9,573
23 📈
(Org: 24)
(8,122)
0.03 8,122
24 📉
(Org: 23)
(8,099)
0 8,099
25 📈
(Org: 27)
(8,089)
0.06 8,089
26 ➡️
(Org: 26)
(7,912)
0.04 7,912
27 📉
(Org: 25)
(7,723)
- 7,723
28 📈
(Org: 32)
(7,628)
0.11 7,628
29 📈
(Org: 44)
(7,383)
0.33 7,383
30 ➡️
(Org: 30)
(7,342)
0.06 7,342
31 📉
(Org: 28)
(7,239)
0 7,239
32 📉
(Org: 29)
(7,072)
0 7,072
33 📈
(Org: 36)
(6,999)
0.12 6,999
34 📉
(Org: 31)
(6,857)
0.01 6,857
35 📉
(Org: 33)
(6,554)
0.01 6,554
36 📈
(Org: 60)
(6,321)
0.42 6,321
37 📉
(Org: 34)
(6,283)
0.01 6,283
38 📉
(Org: 35)
(6,213)
0.01 6,213
39 📈
(Org: 49)
(5,991)
0.26 5,991
40 📉
(Org: 37)
(5,838)
- 5,838
41 📉
(Org: 38)
(5,817)
0 5,817
42 📉
(Org: 39)
(5,727)
- 5,727
43 📉
(Org: 42)
(5,623)
0.01 5,623
44 📉
(Org: 40)
(5,582)
- 5,582
45 📉
(Org: 41)
(5,571)
- 5,571
46 📉
(Org: 43)
(5,056)
0 5,056
47 📉
(Org: 45)
(4,830)
0 4,830
48 📉
(Org: 46)
(4,769)
- 4,769
49 📉
(Org: 47)
(4,687)
0 4,687
50 ➡️
(Org: 50)
(4,671)
0.07 4,671
51 📉
(Org: 48)
(4,576)
- 4,576
52 📈
(Org: 58)
(4,495)
0.18 4,495
53 ➡️
(Org: 53)
(4,189)
0.06 4,189
54 📉
(Org: 51)
(4,094)
0.02 4,094
55 📉
(Org: 52)
(4,077)
0.03 4,077
56 📈
(Org: 68)
(3,994)
0.22 3,994
57 📉
(Org: 54)
(3,976)
0.04 3,976
58 📈
(Org: 83)
(3,899)
0.37 3,899
59 📉
(Org: 56)
(3,792)
0.02 3,792
60 📉
(Org: 55)
(3,789)
- 3,789
61 📉
(Org: 57)
(3,723)
0.01 3,723
62 📉
(Org: 59)
(3,706)
0 3,706
63 📉
(Org: 61)
(3,667)
0.02 3,667
64 📉
(Org: 62)
(3,641)
0.03 3,641
65 📉
(Org: 63)
(3,502)
- 3,502
66 📉
(Org: 64)
(3,494)
0 3,494
67 📉
(Org: 65)
(3,398)
0.01 3,398
68 📈
(Org: 101)
(3,357)
0.39 3,357
69 📉
(Org: 66)
(3,311)
- 3,311
70 📉
(Org: 67)
(3,267)
- 3,267
71 📈
(Org: 93)
(3,241)
0.32 3,241
72 📉
(Org: 70)
(3,212)
0.05 3,212
73 📉
(Org: 72)
(3,164)
0.05 3,164
74 📉
(Org: 69)
(3,062)
- 3,062
75 📉
(Org: 71)
(3,028)
- 3,028
76 📉
(Org: 73)
(2,982)
- 2,982
77 📉
(Org: 74)
(2,898)
0.01 2,898
78 📉
(Org: 75)
(2,896)
0.01 2,896
79 📉
(Org: 76)
(2,845)
0.01 2,845
80 📉
(Org: 77)
(2,826)
0.01 2,826
81 📉
(Org: 78)
(2,715)
- 2,715
82 📉
(Org: 80)
(2,688)
0.02 2,688
83 📉
(Org: 81)
(2,673)
0.04 2,673
84 📉
(Org: 82)
(2,480)
0 2,480
85 📈
(Org: 87)
(2,471)
0.03 2,471
86 📉
(Org: 84)
(2,431)
- 2,431
87 📉
(Org: 85)
(2,423)
- 2,423
88 📈
(Org: 100)
(2,410)
0.14 2,410
89 📈
(Org: 90)
(2,398)
0.04 2,398
90 📉
(Org: 88)
(2,377)
- 2,377
91 ➡️
(Org: 91)
(2,345)
0.02 2,345
92 📉
(Org: 89)
(2,318)
- 2,318
93 📉
(Org: 92)
(2,287)
- 2,287
94 📈
(Org: 95)
(2,192)
0.01 2,192
95 📉
(Org: 94)
(2,185)
- 2,185
96 📈
(Org: 97)
(2,181)
0.04 2,181
97 📈
(Org: 98)
(2,143)
0.03 2,143
98 📈
(Org: 107)
(2,141)
0.11 2,141
99 📉
(Org: 96)
(2,123)
0 2,123
100 📉
(Org: 99)
(2,082)
- 2,082