Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1928 - 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)
(60,710)
0 60,710
2 ➡️
(Org: 2)
(53,871)
0 53,871
3 ➡️
(Org: 3)
(52,753)
- 52,753
4 ➡️
(Org: 4)
(49,201)
0 49,201
5 ➡️
(Org: 5)
(31,267)
0 31,267
6 ➡️
(Org: 6)
(28,804)
0 28,804
7 ➡️
(Org: 7)
(25,705)
- 25,705
8 ➡️
(Org: 8)
(24,431)
0 24,431
9 ➡️
(Org: 9)
(22,473)
0.01 22,473
10 ➡️
(Org: 10)
(18,498)
0 18,498
11 ➡️
(Org: 11)
(16,741)
0.01 16,741
12 ➡️
(Org: 12)
(13,570)
- 13,570
13 ➡️
(Org: 13)
(13,190)
0 13,190
14 ➡️
(Org: 14)
(12,693)
0 12,693
15 ➡️
(Org: 15)
(12,547)
0 12,547
16 ➡️
(Org: 16)
(11,959)
0 11,959
17 ➡️
(Org: 17)
(11,187)
0 11,187
18 ➡️
(Org: 18)
(10,651)
- 10,651
19 ➡️
(Org: 19)
(9,992)
- 9,992
20 ➡️
(Org: 20)
(9,754)
0 9,754
21 ➡️
(Org: 21)
(9,374)
0.01 9,374
22 ➡️
(Org: 22)
(8,923)
0 8,923
23 ➡️
(Org: 23)
(8,812)
- 8,812
24 📈
(Org: 27)
(8,651)
0.16 8,651
25 ➡️
(Org: 25)
(8,108)
0.01 8,108
26 📉
(Org: 24)
(8,100)
- 8,100
27 📉
(Org: 26)
(7,610)
0 7,610
28 ➡️
(Org: 28)
(7,564)
0.08 7,564
29 ➡️
(Org: 29)
(6,847)
0 6,847
30 📈
(Org: 32)
(6,707)
0.06 6,707
31 📉
(Org: 30)
(6,703)
0 6,703
32 📉
(Org: 31)
(6,506)
0 6,506
33 📈
(Org: 38)
(6,375)
0.12 6,375
34 ➡️
(Org: 34)
(6,314)
0.01 6,314
35 📉
(Org: 33)
(6,252)
- 6,252
36 📈
(Org: 37)
(6,235)
0.04 6,235
37 📉
(Org: 35)
(6,074)
0 6,074
38 📉
(Org: 36)
(6,059)
0 6,059
39 📈
(Org: 43)
(5,984)
0.17 5,984
40 ➡️
(Org: 40)
(5,656)
0.02 5,656
41 ➡️
(Org: 41)
(5,636)
0.03 5,636
42 📉
(Org: 39)
(5,597)
0 5,597
43 📉
(Org: 42)
(5,358)
0.04 5,358
44 ➡️
(Org: 44)
(4,718)
- 4,718
45 ➡️
(Org: 45)
(4,501)
0 4,501
46 📈
(Org: 47)
(4,459)
0.01 4,459
47 📉
(Org: 46)
(4,452)
- 4,452
48 ➡️
(Org: 48)
(4,280)
0.01 4,280
49 📈
(Org: 76)
(4,198)
0.38 4,198
50 📉
(Org: 49)
(4,122)
0.01 4,122
51 📉
(Org: 50)
(3,975)
0 3,975
52 ➡️
(Org: 52)
(3,910)
0.02 3,910
53 📉
(Org: 51)
(3,871)
- 3,871
54 📈
(Org: 73)
(3,829)
0.29 3,829
55 📈
(Org: 59)
(3,737)
0.15 3,737
56 📉
(Org: 53)
(3,714)
0.03 3,714
57 📉
(Org: 55)
(3,613)
0.08 3,613
58 📈
(Org: 91)
(3,611)
0.4 3,611
59 📈
(Org: 65)
(3,562)
0.17 3,562
60 📈
(Org: 67)
(3,486)
0.17 3,486
61 📈
(Org: 62)
(3,415)
0.1 3,415
62 📉
(Org: 54)
(3,346)
0 3,346
63 📉
(Org: 56)
(3,300)
- 3,300
64 📉
(Org: 57)
(3,286)
0.01 3,286
65 📉
(Org: 58)
(3,166)
- 3,166
66 📈
(Org: 100)
(3,165)
0.39 3,165
67 📉
(Org: 60)
(3,142)
- 3,142
68 📉
(Org: 61)
(3,106)
0 3,106
69 📉
(Org: 66)
(3,025)
0.04 3,025
70 📉
(Org: 63)
(2,977)
- 2,977
70 📉
(Org: 63)
(2,977)
- 2,977
72 📉
(Org: 71)
(2,885)
0.04 2,885
73 📉
(Org: 68)
(2,874)
0 2,874
74 📉
(Org: 69)
(2,855)
- 2,855
75 📉
(Org: 70)
(2,852)
- 2,852
76 📈
(Org: 80)
(2,784)
0.12 2,784
77 📉
(Org: 72)
(2,750)
- 2,750
78 📉
(Org: 74)
(2,736)
0.01 2,736
79 📉
(Org: 75)
(2,676)
0.01 2,676
80 📉
(Org: 77)
(2,664)
0.03 2,664
81 📈
(Org: 86)
(2,661)
0.12 2,661
82 📈
(Org: 119)
(2,659)
0.44 2,659
83 📉
(Org: 78)
(2,630)
0.02 2,630
84 📉
(Org: 78)
(2,593)
0 2,593
85 📉
(Org: 84)
(2,478)
0.04 2,478
86 📈
(Org: 103)
(2,462)
0.24 2,462
87 📉
(Org: 81)
(2,460)
- 2,460
88 📉
(Org: 82)
(2,448)
0 2,448
89 📉
(Org: 83)
(2,427)
- 2,427
90 📉
(Org: 85)
(2,362)
- 2,362
91 📉
(Org: 87)
(2,331)
0.02 2,331
92 📉
(Org: 90)
(2,274)
0.04 2,274
93 📉
(Org: 88)
(2,243)
- 2,243
94 📉
(Org: 89)
(2,229)
- 2,229
95 📉
(Org: 92)
(2,170)
- 2,170
96 📉
(Org: 93)
(2,136)
- 2,136
97 📉
(Org: 94)
(2,128)
- 2,128
98 📉
(Org: 95)
(2,093)
- 2,093
99 📉
(Org: 96)
(2,048)
- 2,048
100 📈
(Org: 107)
(2,043)
0.13 2,043