Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1942 - 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)
(77,180)
- 77,180
2 ➡️
(Org: 2)
(71,841)
- 71,841
3 ➡️
(Org: 3)
(67,824)
0.03 67,824
4 ➡️
(Org: 4)
(54,931)
0 54,931
5 ➡️
(Org: 5)
(43,603)
0 43,603
6 ➡️
(Org: 6)
(35,905)
- 35,905
7 ➡️
(Org: 7)
(35,869)
0 35,869
8 ➡️
(Org: 8)
(31,239)
0 31,239
9 ➡️
(Org: 9)
(27,170)
0 27,170
10 ➡️
(Org: 10)
(23,956)
- 23,956
11 ➡️
(Org: 11)
(22,552)
0.01 22,552
12 📈
(Org: 13)
(22,277)
0.02 22,277
13 📉
(Org: 12)
(22,189)
0 22,189
14 ➡️
(Org: 14)
(21,312)
0 21,312
15 ➡️
(Org: 15)
(18,225)
0 18,225
16 ➡️
(Org: 16)
(17,839)
0.02 17,839
17 ➡️
(Org: 17)
(17,469)
- 17,469
18 ➡️
(Org: 18)
(17,117)
0 17,117
19 ➡️
(Org: 19)
(16,506)
0 16,506
20 ➡️
(Org: 20)
(13,673)
0.03 13,673
21 ➡️
(Org: 21)
(12,248)
- 12,248
22 ➡️
(Org: 22)
(12,149)
0.05 12,149
23 ➡️
(Org: 23)
(11,378)
0.01 11,378
24 ➡️
(Org: 24)
(11,132)
0 11,132
25 📈
(Org: 32)
(11,008)
0.32 11,008
26 📉
(Org: 25)
(9,585)
0.04 9,585
27 📉
(Org: 26)
(8,681)
- 8,681
28 📉
(Org: 27)
(8,600)
0 8,600
29 📉
(Org: 28)
(8,580)
0.01 8,580
30 ➡️
(Org: 30)
(8,576)
0.11 8,576
31 📈
(Org: 47)
(8,503)
0.3 8,503
32 📈
(Org: 36)
(8,171)
0.11 8,171
33 📉
(Org: 29)
(8,069)
0.01 8,069
34 📈
(Org: 54)
(7,986)
0.42 7,986
35 ➡️
(Org: 35)
(7,767)
0.06 7,767
36 📉
(Org: 31)
(7,586)
0 7,586
37 📉
(Org: 34)
(7,408)
0.01 7,408
38 📉
(Org: 33)
(7,405)
0 7,405
39 📉
(Org: 37)
(7,125)
0 7,125
40 📈
(Org: 43)
(6,643)
0.06 6,643
41 📉
(Org: 38)
(6,635)
- 6,635
42 📉
(Org: 39)
(6,595)
0 6,595
43 📉
(Org: 40)
(6,496)
- 6,496
44 📉
(Org: 41)
(6,484)
- 6,484
45 📉
(Org: 42)
(6,371)
0.01 6,371
46 📉
(Org: 44)
(6,210)
- 6,210
47 📉
(Org: 45)
(6,114)
0 6,114
48 📉
(Org: 46)
(6,095)
0 6,095
49 📉
(Org: 48)
(5,639)
0 5,639
50 📉
(Org: 49)
(5,575)
0 5,575
51 ➡️
(Org: 51)
(5,503)
0.06 5,503
52 📉
(Org: 50)
(5,385)
- 5,385
53 📈
(Org: 78)
(4,995)
0.33 4,995
54 📈
(Org: 61)
(4,914)
0.17 4,914
55 📉
(Org: 52)
(4,810)
- 4,810
56 📈
(Org: 68)
(4,746)
0.21 4,746
57 📉
(Org: 55)
(4,695)
0.02 4,695
58 📉
(Org: 53)
(4,691)
0 4,691
59 📉
(Org: 55)
(4,599)
0 4,599
60 📉
(Org: 57)
(4,528)
0.04 4,528
61 📉
(Org: 60)
(4,471)
0.06 4,471
62 📉
(Org: 58)
(4,356)
0.01 4,356
63 📈
(Org: 88)
(4,309)
0.33 4,309
64 📉
(Org: 59)
(4,230)
0.01 4,230
65 📉
(Org: 62)
(4,199)
0.04 4,199
66 📉
(Org: 63)
(3,886)
0.01 3,886
67 📈
(Org: 70)
(3,835)
0.04 3,835
68 📉
(Org: 64)
(3,821)
0 3,821
69 📉
(Org: 65)
(3,795)
- 3,795
70 📉
(Org: 66)
(3,792)
- 3,792
71 📉
(Org: 67)
(3,747)
0 3,747
72 📉
(Org: 69)
(3,717)
- 3,717
73 📉
(Org: 72)
(3,677)
0.03 3,677
74 📉
(Org: 71)
(3,571)
- 3,571
75 📉
(Org: 73)
(3,546)
0 3,546
76 📉
(Org: 74)
(3,514)
- 3,514
77 📈
(Org: 99)
(3,415)
0.3 3,415
78 📉
(Org: 76)
(3,408)
- 3,408
79 📈
(Org: 82)
(3,284)
0.05 3,284
80 📉
(Org: 79)
(3,267)
0.02 3,267
81 📈
(Org: 86)
(3,148)
0.04 3,148
82 📉
(Org: 80)
(3,142)
- 3,142
83 📉
(Org: 81)
(3,134)
- 3,134
84 📉
(Org: 83)
(3,120)
0 3,120
85 📉
(Org: 84)
(3,098)
0.01 3,098
86 📉
(Org: 85)
(3,053)
0 3,053
87 ➡️
(Org: 87)
(2,991)
0.02 2,991
88 📈
(Org: 89)
(2,895)
0.01 2,895
89 📈
(Org: 96)
(2,822)
0.13 2,822
90 📈
(Org: 91)
(2,767)
0.04 2,767
91 📉
(Org: 90)
(2,755)
0.01 2,755
92 📈
(Org: 116)
(2,666)
0.23 2,666
93 📉
(Org: 92)
(2,657)
0.02 2,657
94 📉
(Org: 93)
(2,550)
- 2,550
95 ➡️
(Org: 95)
(2,533)
- 2,533
96 📈
(Org: 98)
(2,519)
0.04 2,519
97 📈
(Org: 103)
(2,456)
0.04 2,456
98 📈
(Org: 112)
(2,438)
0.11 2,438
99 📉
(Org: 97)
(2,423)
- 2,423
100 ➡️
(Org: 100)
(2,395)
- 2,395