Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1924 - 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)
(60,808)
0 60,808
2 ➡️
(Org: 2)
(59,143)
0 59,143
3 ➡️
(Org: 3)
(53,600)
0 53,600
4 ➡️
(Org: 4)
(52,941)
- 52,941
5 ➡️
(Org: 5)
(30,474)
0 30,474
6 ➡️
(Org: 6)
(27,419)
0 27,419
7 ➡️
(Org: 7)
(25,583)
0.01 25,583
8 ➡️
(Org: 8)
(21,244)
- 21,244
9 ➡️
(Org: 9)
(21,133)
0 21,133
10 ➡️
(Org: 10)
(17,929)
- 17,929
11 ➡️
(Org: 11)
(16,698)
0.01 16,698
12 ➡️
(Org: 12)
(16,044)
- 16,044
13 ➡️
(Org: 13)
(14,184)
0 14,184
14 ➡️
(Org: 14)
(13,372)
0 13,372
15 ➡️
(Org: 15)
(12,878)
0 12,878
16 ➡️
(Org: 16)
(12,696)
- 12,696
17 ➡️
(Org: 17)
(11,974)
0 11,974
18 ➡️
(Org: 18)
(11,247)
0 11,247
19 ➡️
(Org: 19)
(10,364)
0 10,364
20 ➡️
(Org: 20)
(10,213)
0 10,213
21 ➡️
(Org: 21)
(9,880)
- 9,880
22 ➡️
(Org: 22)
(9,128)
0 9,128
23 ➡️
(Org: 23)
(8,766)
- 8,766
24 ➡️
(Org: 24)
(8,758)
- 8,758
25 ➡️
(Org: 25)
(8,376)
0 8,376
26 📈
(Org: 27)
(7,701)
0.08 7,701
27 📈
(Org: 28)
(7,533)
0.07 7,533
28 📉
(Org: 26)
(7,379)
0 7,379
29 ➡️
(Org: 29)
(6,901)
0 6,901
30 📈
(Org: 33)
(6,831)
0.04 6,831
31 📈
(Org: 37)
(6,827)
0.17 6,827
32 📉
(Org: 30)
(6,745)
0.01 6,745
33 📉
(Org: 31)
(6,645)
0.01 6,645
34 📈
(Org: 36)
(6,564)
0.12 6,564
35 📉
(Org: 32)
(6,544)
0 6,544
36 📉
(Org: 34)
(6,243)
0.02 6,243
37 📉
(Org: 35)
(6,057)
0 6,057
38 ➡️
(Org: 38)
(5,856)
0.04 5,856
39 📈
(Org: 40)
(5,198)
0 5,198
40 📉
(Org: 39)
(5,191)
- 5,191
41 ➡️
(Org: 41)
(5,144)
0 5,144
42 ➡️
(Org: 42)
(5,060)
0 5,060
43 ➡️
(Org: 43)
(4,929)
- 4,929
44 ➡️
(Org: 44)
(4,919)
- 4,919
45 ➡️
(Org: 45)
(4,635)
0.01 4,635
46 ➡️
(Org: 46)
(4,557)
0.01 4,557
47 ➡️
(Org: 47)
(4,431)
0.01 4,431
48 📈
(Org: 52)
(4,273)
0.08 4,273
49 ➡️
(Org: 49)
(4,240)
0.02 4,240
50 📉
(Org: 48)
(4,209)
0.01 4,209
51 📈
(Org: 63)
(4,167)
0.22 4,167
52 📈
(Org: 79)
(4,104)
0.37 4,104
53 📈
(Org: 54)
(4,053)
0.04 4,053
54 📉
(Org: 50)
(4,029)
0 4,029
55 📉
(Org: 51)
(3,998)
0 3,998
56 📈
(Org: 61)
(3,980)
0.16 3,980
57 📈
(Org: 62)
(3,928)
0.17 3,928
58 📉
(Org: 53)
(3,922)
- 3,922
59 📈
(Org: 71)
(3,831)
0.24 3,831
60 📉
(Org: 55)
(3,788)
- 3,788
61 📈
(Org: 86)
(3,769)
0.39 3,769
62 📉
(Org: 56)
(3,744)
- 3,744
63 📉
(Org: 57)
(3,731)
- 3,731
64 📉
(Org: 58)
(3,582)
- 3,582
65 📉
(Org: 59)
(3,520)
- 3,520
66 📉
(Org: 60)
(3,394)
0.01 3,394
67 📉
(Org: 65)
(3,339)
0.03 3,339
68 📉
(Org: 64)
(3,255)
0 3,255
69 📈
(Org: 102)
(3,219)
0.47 3,219
70 📉
(Org: 66)
(3,174)
0 3,174
71 📉
(Org: 67)
(3,033)
- 3,033
71 📉
(Org: 69)
(3,033)
0.01 3,033
73 📉
(Org: 68)
(3,013)
0 3,013
74 📈
(Org: 77)
(3,004)
0.11 3,004
75 📉
(Org: 70)
(2,960)
0 2,960
76 📈
(Org: 80)
(2,937)
0.15 2,937
77 📉
(Org: 72)
(2,791)
0 2,791
78 📉
(Org: 75)
(2,784)
0.03 2,784
79 📉
(Org: 73)
(2,759)
- 2,759
80 📉
(Org: 74)
(2,730)
- 2,730
81 📉
(Org: 76)
(2,677)
- 2,677
82 📉
(Org: 78)
(2,645)
0 2,645
83 📉
(Org: 81)
(2,474)
- 2,474
84 📉
(Org: 83)
(2,462)
0.02 2,462
85 📉
(Org: 82)
(2,452)
- 2,452
86 📉
(Org: 84)
(2,421)
0.01 2,421
87 📈
(Org: 89)
(2,374)
0.06 2,374
88 📈
(Org: 101)
(2,359)
0.26 2,359
89 📉
(Org: 88)
(2,324)
0.04 2,324
90 📉
(Org: 85)
(2,306)
0 2,306
91 📉
(Org: 87)
(2,291)
0 2,291
92 📉
(Org: 90)
(2,189)
- 2,189
93 ➡️
(Org: 93)
(2,130)
0.04 2,130
94 📉
(Org: 91)
(2,123)
- 2,123
95 📉
(Org: 92)
(2,067)
- 2,067
96 📈
(Org: 98)
(2,053)
0.11 2,053
97 📉
(Org: 94)
(2,045)
- 2,045
98 📉
(Org: 95)
(2,014)
- 2,014
99 📈
(Org: 103)
(2,012)
0.15 2,012
100 📈
(Org: 110)
(1,957)
0.16 1,957