Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1941 - 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)
(66,752)
- 66,752
2 ➡️
(Org: 2)
(64,252)
0 64,252
3 ➡️
(Org: 3)
(59,089)
0.03 59,089
4 ➡️
(Org: 4)
(47,842)
0 47,842
5 ➡️
(Org: 5)
(39,122)
0 39,122
6 ➡️
(Org: 6)
(32,753)
0 32,753
7 ➡️
(Org: 7)
(30,560)
0 30,560
8 ➡️
(Org: 8)
(26,790)
0.01 26,790
9 ➡️
(Org: 9)
(24,454)
0 24,454
10 ➡️
(Org: 10)
(22,640)
- 22,640
11 ➡️
(Org: 11)
(20,210)
0 20,210
12 ➡️
(Org: 12)
(19,932)
0.01 19,932
13 ➡️
(Org: 13)
(19,291)
0 19,291
14 ➡️
(Org: 14)
(17,053)
0.01 17,053
15 📈
(Org: 16)
(16,362)
0.03 16,362
16 📉
(Org: 15)
(16,155)
0 16,155
17 ➡️
(Org: 17)
(15,581)
- 15,581
18 ➡️
(Org: 18)
(15,184)
0 15,184
19 ➡️
(Org: 19)
(14,601)
0 14,601
20 ➡️
(Org: 20)
(11,522)
0.05 11,522
21 ➡️
(Org: 21)
(10,795)
- 10,795
22 ➡️
(Org: 22)
(9,947)
- 9,947
23 ➡️
(Org: 23)
(9,864)
0.03 9,864
24 📈
(Org: 25)
(8,432)
0.04 8,432
25 📈
(Org: 41)
(8,279)
0.3 8,279
26 📉
(Org: 24)
(8,122)
0 8,122
27 ➡️
(Org: 27)
(8,109)
0.06 8,109
28 📈
(Org: 29)
(8,050)
0.11 8,050
29 📈
(Org: 45)
(7,827)
0.32 7,827
30 📉
(Org: 26)
(7,746)
- 7,746
31 📈
(Org: 34)
(7,396)
0.1 7,396
32 📉
(Org: 28)
(7,196)
0 7,196
33 📉
(Org: 30)
(7,190)
0 7,190
34 📉
(Org: 31)
(7,092)
0.01 7,092
35 📈
(Org: 52)
(7,061)
0.41 7,061
36 📉
(Org: 35)
(7,033)
0.06 7,033
37 📉
(Org: 32)
(6,980)
0 6,980
38 📉
(Org: 33)
(6,783)
0.01 6,783
39 📉
(Org: 36)
(6,573)
0.01 6,573
40 📉
(Org: 37)
(6,111)
- 6,111
41 📉
(Org: 38)
(6,046)
0 6,046
42 📉
(Org: 39)
(6,012)
0.01 6,012
43 📉
(Org: 40)
(5,927)
- 5,927
44 📉
(Org: 42)
(5,775)
0 5,775
45 📉
(Org: 43)
(5,624)
0 5,624
46 📉
(Org: 44)
(5,612)
0 5,612
47 📉
(Org: 46)
(5,239)
- 5,239
48 📉
(Org: 47)
(5,074)
0 5,074
49 📉
(Org: 48)
(5,064)
0 5,064
50 ➡️
(Org: 50)
(4,800)
0.07 4,800
51 📈
(Org: 61)
(4,538)
0.18 4,538
52 📉
(Org: 49)
(4,467)
0 4,467
53 📉
(Org: 51)
(4,302)
- 4,302
54 📈
(Org: 79)
(4,276)
0.33 4,276
55 📈
(Org: 56)
(4,241)
0.07 4,241
56 📉
(Org: 53)
(4,205)
0.01 4,205
57 📈
(Org: 69)
(4,192)
0.22 4,192
58 📉
(Org: 54)
(4,146)
0.04 4,146
59 📉
(Org: 55)
(4,085)
0.02 4,085
60 📉
(Org: 58)
(3,948)
0.04 3,948
61 📉
(Org: 57)
(3,942)
0 3,942
62 📈
(Org: 86)
(3,933)
0.36 3,933
63 📉
(Org: 59)
(3,810)
0.01 3,810
64 📉
(Org: 60)
(3,800)
0.02 3,800
65 📉
(Org: 62)
(3,676)
0 3,676
66 ➡️
(Org: 66)
(3,632)
0.03 3,632
67 📉
(Org: 63)
(3,626)
- 3,626
68 📉
(Org: 64)
(3,611)
0 3,611
69 📉
(Org: 65)
(3,585)
0.01 3,585
70 📉
(Org: 67)
(3,524)
- 3,524
71 📉
(Org: 68)
(3,453)
- 3,453
72 📈
(Org: 99)
(3,235)
0.32 3,235
73 📉
(Org: 72)
(3,225)
0.05 3,225
74 📈
(Org: 75)
(3,183)
0.05 3,183
75 📉
(Org: 70)
(3,174)
0.01 3,174
76 📉
(Org: 71)
(3,102)
0 3,102
77 📉
(Org: 73)
(3,060)
- 3,060
78 📉
(Org: 74)
(3,052)
- 3,052
79 📉
(Org: 76)
(2,972)
0 2,972
80 📉
(Org: 78)
(2,965)
0.04 2,965
81 📉
(Org: 80)
(2,843)
- 2,843
82 📉
(Org: 81)
(2,804)
0.02 2,804
83 ➡️
(Org: 83)
(2,725)
0.01 2,725
84 📉
(Org: 82)
(2,707)
- 2,707
85 📉
(Org: 84)
(2,624)
- 2,624
86 📉
(Org: 85)
(2,610)
0 2,610
87 📈
(Org: 96)
(2,604)
0.14 2,604
88 📉
(Org: 87)
(2,523)
0.01 2,523
89 📉
(Org: 88)
(2,514)
0.01 2,514
90 📈
(Org: 91)
(2,506)
0.02 2,506
91 📈
(Org: 92)
(2,441)
0.02 2,441
92 📈
(Org: 95)
(2,411)
0.03 2,411
93 ➡️
(Org: 93)
(2,375)
- 2,375
94 ➡️
(Org: 94)
(2,368)
0 2,368
95 📈
(Org: 98)
(2,271)
0.03 2,271
96 📈
(Org: 100)
(2,254)
0.04 2,254
97 📈
(Org: 109)
(2,229)
0.11 2,229
98 📉
(Org: 97)
(2,213)
- 2,213
99 📈
(Org: 101)
(2,167)
0.01 2,167
100 📈
(Org: 102)
(2,114)
0 2,114