Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1930 - 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)
(62,163)
0 62,163
2 ➡️
(Org: 2)
(53,957)
- 53,957
3 ➡️
(Org: 3)
(52,560)
0 52,560
4 ➡️
(Org: 4)
(47,316)
0 47,316
5 ➡️
(Org: 5)
(32,194)
0 32,194
6 ➡️
(Org: 6)
(31,889)
0 31,889
7 ➡️
(Org: 7)
(29,051)
- 29,051
8 ➡️
(Org: 8)
(22,822)
0 22,822
9 ➡️
(Org: 9)
(21,104)
0.01 21,104
10 ➡️
(Org: 10)
(17,351)
- 17,351
11 ➡️
(Org: 11)
(17,164)
0.01 17,164
12 ➡️
(Org: 12)
(12,967)
0 12,967
13 ➡️
(Org: 13)
(12,535)
- 12,535
14 ➡️
(Org: 14)
(12,471)
0 12,471
15 ➡️
(Org: 15)
(12,275)
- 12,275
16 📈
(Org: 17)
(11,723)
0 11,723
17 📉
(Org: 16)
(11,713)
- 11,713
18 ➡️
(Org: 18)
(11,690)
0 11,690
19 📈
(Org: 20)
(10,788)
0.14 10,788
20 📉
(Org: 19)
(9,731)
- 9,731
21 ➡️
(Org: 21)
(9,075)
0.01 9,075
22 ➡️
(Org: 22)
(8,638)
0.01 8,638
23 ➡️
(Org: 23)
(8,329)
0.01 8,329
24 ➡️
(Org: 24)
(7,953)
0 7,953
25 ➡️
(Org: 25)
(7,639)
0 7,639
26 ➡️
(Org: 26)
(7,619)
0.09 7,619
27 ➡️
(Org: 27)
(6,908)
0.01 6,908
28 ➡️
(Org: 28)
(6,855)
0 6,855
29 ➡️
(Org: 29)
(6,714)
0.01 6,714
30 ➡️
(Org: 30)
(6,683)
0.03 6,683
31 📈
(Org: 36)
(6,389)
0.12 6,389
32 📉
(Org: 31)
(6,352)
0 6,352
33 📈
(Org: 34)
(6,226)
0.07 6,226
34 📉
(Org: 32)
(6,060)
0 6,060
35 📉
(Org: 33)
(6,003)
0.01 6,003
36 📈
(Org: 41)
(5,899)
0.12 5,899
37 📈
(Org: 38)
(5,790)
0.04 5,790
38 📈
(Org: 43)
(5,778)
0.17 5,778
39 📉
(Org: 35)
(5,706)
0.01 5,706
40 📉
(Org: 37)
(5,641)
0 5,641
41 📉
(Org: 39)
(5,498)
- 5,498
42 📉
(Org: 40)
(5,303)
0 5,303
43 📉
(Org: 42)
(5,117)
0.02 5,117
44 📈
(Org: 45)
(4,859)
0.04 4,859
45 📉
(Org: 44)
(4,674)
- 4,674
46 ➡️
(Org: 46)
(4,558)
- 4,558
47 ➡️
(Org: 47)
(4,502)
0.01 4,502
48 ➡️
(Org: 48)
(4,414)
0 4,414
49 ➡️
(Org: 49)
(4,397)
0 4,397
50 📈
(Org: 71)
(4,353)
0.37 4,353
51 📉
(Org: 50)
(4,086)
0.01 4,086
52 📈
(Org: 86)
(4,073)
0.45 4,073
53 📉
(Org: 51)
(3,964)
0.02 3,964
54 📉
(Org: 52)
(3,876)
0.01 3,876
55 📈
(Org: 75)
(3,852)
0.31 3,852
56 📉
(Org: 53)
(3,804)
- 3,804
57 📉
(Org: 54)
(3,671)
0.04 3,671
58 📉
(Org: 55)
(3,574)
0.01 3,574
59 📈
(Org: 94)
(3,384)
0.4 3,384
60 📉
(Org: 58)
(3,377)
0.04 3,377
61 📈
(Org: 69)
(3,363)
0.16 3,363
62 📉
(Org: 60)
(3,326)
0.07 3,326
63 📈
(Org: 74)
(3,325)
0.19 3,325
64 📉
(Org: 57)
(3,272)
0.01 3,272
65 📉
(Org: 56)
(3,266)
- 3,266
66 📉
(Org: 59)
(3,160)
- 3,160
67 📉
(Org: 61)
(3,093)
0.01 3,093
68 📈
(Org: 70)
(3,075)
0.09 3,075
69 📉
(Org: 67)
(3,071)
0.04 3,071
70 📉
(Org: 62)
(3,057)
- 3,057
71 📉
(Org: 63)
(3,042)
0 3,042
72 📉
(Org: 68)
(3,025)
0.03 3,025
73 📉
(Org: 64)
(3,022)
0.01 3,022
74 📉
(Org: 65)
(2,981)
- 2,981
75 📉
(Org: 66)
(2,972)
- 2,972
76 📉
(Org: 72)
(2,708)
0 2,708
77 📉
(Org: 73)
(2,707)
0 2,707
78 📉
(Org: 77)
(2,676)
0.02 2,676
79 📉
(Org: 76)
(2,657)
0.01 2,657
80 📈
(Org: 87)
(2,615)
0.14 2,615
81 📉
(Org: 78)
(2,614)
0.01 2,614
82 📈
(Org: 116)
(2,561)
0.39 2,561
83 📉
(Org: 79)
(2,512)
- 2,512
84 📉
(Org: 80)
(2,476)
- 2,476
85 📈
(Org: 91)
(2,407)
0.12 2,407
86 📉
(Org: 81)
(2,401)
- 2,401
87 📉
(Org: 82)
(2,396)
0.01 2,396
88 📉
(Org: 83)
(2,327)
0 2,327
89 📉
(Org: 84)
(2,318)
- 2,318
90 📈
(Org: 104)
(2,291)
0.22 2,291
91 📉
(Org: 85)
(2,278)
- 2,278
92 📉
(Org: 88)
(2,242)
- 2,242
93 📉
(Org: 89)
(2,212)
0.02 2,212
94 📉
(Org: 92)
(2,122)
0.03 2,122
95 📉
(Org: 90)
(2,119)
- 2,119
96 📉
(Org: 93)
(2,053)
- 2,053
97 ➡️
(Org: 97)
(2,038)
0.03 2,038
98 📉
(Org: 95)
(2,031)
0.01 2,031
99 📉
(Org: 96)
(2,011)
- 2,011
100 📈
(Org: 107)
(1,949)
0.12 1,949