Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1943 - 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)
(80,275)
- 80,275
2 ➡️
(Org: 2)
(74,900)
0 74,900
3 ➡️
(Org: 3)
(70,697)
0.03 70,697
4 ➡️
(Org: 4)
(55,953)
0 55,953
5 ➡️
(Org: 5)
(46,348)
0 46,348
6 ➡️
(Org: 6)
(37,250)
0 37,250
7 ➡️
(Org: 7)
(36,640)
0 36,640
8 ➡️
(Org: 8)
(33,031)
0 33,031
9 ➡️
(Org: 9)
(29,289)
0 29,289
10 ➡️
(Org: 10)
(25,437)
0.03 25,437
11 ➡️
(Org: 11)
(24,420)
- 24,420
12 ➡️
(Org: 12)
(23,059)
0 23,059
13 ➡️
(Org: 13)
(22,982)
0.01 22,982
14 ➡️
(Org: 14)
(21,730)
0 21,730
15 ➡️
(Org: 15)
(19,125)
0 19,125
16 📈
(Org: 17)
(18,033)
0.02 18,033
17 📉
(Org: 16)
(17,915)
0 17,915
18 ➡️
(Org: 18)
(17,713)
- 17,713
19 ➡️
(Org: 19)
(17,264)
0 17,264
20 ➡️
(Org: 20)
(14,457)
0.02 14,457
21 ➡️
(Org: 21)
(12,245)
- 12,245
22 📈
(Org: 29)
(12,198)
0.35 12,198
23 ➡️
(Org: 23)
(12,005)
0.05 12,005
24 📉
(Org: 22)
(11,392)
- 11,392
25 📉
(Org: 24)
(11,306)
0.05 11,306
26 📉
(Org: 25)
(9,242)
0.01 9,242
27 📈
(Org: 42)
(9,101)
0.29 9,101
28 📉
(Org: 26)
(9,035)
- 9,035
29 📉
(Org: 27)
(8,691)
0 8,691
30 📈
(Org: 32)
(8,483)
0.11 8,483
31 📈
(Org: 33)
(8,408)
0.11 8,408
32 📉
(Org: 28)
(8,324)
0.01 8,324
33 📉
(Org: 30)
(7,835)
0.01 7,835
34 📈
(Org: 57)
(7,745)
0.42 7,745
35 📉
(Org: 31)
(7,657)
0 7,657
36 📈
(Org: 37)
(7,455)
0.06 7,455
37 📉
(Org: 34)
(7,428)
0 7,428
38 📉
(Org: 35)
(7,338)
0 7,338
39 📉
(Org: 36)
(7,224)
0.01 7,224
40 📉
(Org: 38)
(7,005)
0.01 7,005
41 📉
(Org: 39)
(6,890)
0 6,890
42 📉
(Org: 40)
(6,771)
- 6,771
43 📉
(Org: 41)
(6,768)
0 6,768
44 📈
(Org: 46)
(6,481)
0.06 6,481
45 📉
(Org: 43)
(6,306)
- 6,306
46 📉
(Org: 44)
(6,200)
- 6,200
47 📉
(Org: 45)
(6,173)
0 6,173
48 📉
(Org: 47)
(5,931)
0 5,931
49 📉
(Org: 48)
(5,739)
- 5,739
50 📉
(Org: 49)
(5,737)
- 5,737
51 📉
(Org: 50)
(5,725)
0 5,725
52 📈
(Org: 71)
(5,719)
0.33 5,719
53 📉
(Org: 52)
(5,498)
0.02 5,498
54 📉
(Org: 51)
(5,430)
- 5,430
55 📉
(Org: 53)
(5,382)
0.06 5,382
56 📈
(Org: 61)
(5,112)
0.18 5,112
57 📈
(Org: 70)
(4,864)
0.21 4,864
58 📉
(Org: 55)
(4,800)
0.04 4,800
59 📉
(Org: 54)
(4,711)
0 4,711
60 📉
(Org: 56)
(4,531)
0 4,531
61 📈
(Org: 85)
(4,498)
0.32 4,498
62 📉
(Org: 60)
(4,344)
0.04 4,344
63 📉
(Org: 59)
(4,263)
0.01 4,263
64 📉
(Org: 63)
(4,245)
0.04 4,245
65 📉
(Org: 62)
(4,188)
0.01 4,188
66 📉
(Org: 63)
(4,125)
0.01 4,125
67 📉
(Org: 65)
(3,989)
- 3,989
68 📉
(Org: 66)
(3,939)
- 3,939
69 📈
(Org: 73)
(3,924)
0.04 3,924
70 📈
(Org: 72)
(3,904)
0.02 3,904
71 📉
(Org: 69)
(3,867)
0 3,867
72 📉
(Org: 67)
(3,855)
- 3,855
73 📉
(Org: 68)
(3,854)
- 3,854
74 ➡️
(Org: 74)
(3,740)
- 3,740
75 ➡️
(Org: 75)
(3,682)
- 3,682
76 ➡️
(Org: 76)
(3,626)
- 3,626
77 ➡️
(Org: 77)
(3,622)
0 3,622
78 📈
(Org: 105)
(3,544)
0.32 3,544
79 📉
(Org: 78)
(3,445)
- 3,445
80 ➡️
(Org: 80)
(3,424)
0.04 3,424
81 📉
(Org: 79)
(3,351)
- 3,351
82 ➡️
(Org: 82)
(3,241)
0.01 3,241
83 📈
(Org: 84)
(3,102)
0.01 3,102
84 📈
(Org: 88)
(3,095)
0.06 3,095
85 📉
(Org: 83)
(3,089)
0 3,089
86 ➡️
(Org: 86)
(3,057)
0 3,057
87 📈
(Org: 89)
(3,029)
0.05 3,029
88 📉
(Org: 87)
(2,926)
0.01 2,926
89 📈
(Org: 116)
(2,871)
0.24 2,871
90 📈
(Org: 91)
(2,866)
0.03 2,866
91 📉
(Org: 90)
(2,803)
- 2,803
92 📈
(Org: 104)
(2,786)
0.12 2,786
93 📉
(Org: 92)
(2,776)
0.01 2,776
94 📈
(Org: 101)
(2,745)
0.08 2,745
95 📈
(Org: 96)
(2,702)
0.03 2,702
96 📉
(Org: 93)
(2,684)
- 2,684
97 📉
(Org: 94)
(2,666)
- 2,666
98 ➡️
(Org: 98)
(2,660)
0.02 2,660
99 📈
(Org: 100)
(2,639)
0.04 2,639
100 📉
(Org: 96)
(2,616)
- 2,616