Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1929 - 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)
(59,816)
0 59,816
2 📈
(Org: 3)
(52,202)
0 52,202
3 📉
(Org: 2)
(52,133)
- 52,133
4 ➡️
(Org: 4)
(47,878)
0 47,878
5 ➡️
(Org: 5)
(29,949)
0 29,949
6 ➡️
(Org: 6)
(29,570)
- 29,570
7 ➡️
(Org: 7)
(27,181)
- 27,181
8 ➡️
(Org: 8)
(23,069)
0 23,069
9 ➡️
(Org: 9)
(21,309)
0.01 21,309
10 ➡️
(Org: 10)
(17,220)
- 17,220
11 ➡️
(Org: 11)
(16,413)
0.01 16,413
12 ➡️
(Org: 12)
(12,966)
- 12,966
13 ➡️
(Org: 13)
(12,453)
0 12,453
14 ➡️
(Org: 14)
(12,219)
0 12,219
15 ➡️
(Org: 15)
(11,916)
0 11,916
16 ➡️
(Org: 16)
(11,704)
0 11,704
17 ➡️
(Org: 17)
(11,301)
- 11,301
18 ➡️
(Org: 18)
(10,861)
0 10,861
19 ➡️
(Org: 19)
(9,850)
- 9,850
20 📈
(Org: 23)
(9,783)
0.15 9,783
21 📉
(Org: 20)
(9,091)
0.01 9,091
22 📉
(Org: 21)
(8,617)
0.01 8,617
23 📉
(Org: 22)
(8,509)
0 8,509
24 ➡️
(Org: 24)
(8,079)
- 8,079
25 ➡️
(Org: 25)
(7,920)
0 7,920
26 ➡️
(Org: 26)
(7,721)
0 7,721
27 📈
(Org: 28)
(7,547)
0.09 7,547
28 📉
(Org: 27)
(7,156)
0 7,156
29 ➡️
(Org: 29)
(6,662)
0.01 6,662
30 ➡️
(Org: 30)
(6,623)
0 6,623
31 📈
(Org: 32)
(6,396)
0.06 6,396
32 📈
(Org: 33)
(6,150)
0.03 6,150
33 📈
(Org: 38)
(6,075)
0.13 6,075
34 📉
(Org: 31)
(6,016)
0 6,016
35 📈
(Org: 36)
(6,004)
0.04 6,004
36 📉
(Org: 35)
(5,884)
0.01 5,884
37 📉
(Org: 34)
(5,857)
- 5,857
38 📈
(Org: 43)
(5,749)
0.17 5,749
39 📉
(Org: 37)
(5,729)
- 5,729
40 📉
(Org: 39)
(5,365)
0.02 5,365
41 📉
(Org: 40)
(5,168)
0 5,168
42 ➡️
(Org: 42)
(5,059)
0.05 5,059
43 📉
(Org: 41)
(4,928)
- 4,928
44 ➡️
(Org: 44)
(4,733)
- 4,733
45 📈
(Org: 50)
(4,542)
0.14 4,542
46 📉
(Org: 45)
(4,489)
0 4,489
47 ➡️
(Org: 47)
(4,409)
0.01 4,409
48 📉
(Org: 46)
(4,389)
- 4,389
49 📉
(Org: 48)
(4,288)
0.01 4,288
50 📉
(Org: 49)
(4,145)
0.01 4,145
51 📈
(Org: 80)
(3,860)
0.37 3,860
52 ➡️
(Org: 52)
(3,844)
0.01 3,844
53 📉
(Org: 51)
(3,818)
- 3,818
54 📈
(Org: 76)
(3,650)
0.29 3,650
55 📉
(Org: 53)
(3,624)
0.02 3,624
56 📉
(Org: 54)
(3,582)
0.03 3,582
57 📈
(Org: 62)
(3,481)
0.15 3,481
58 📈
(Org: 98)
(3,459)
0.44 3,459
59 📉
(Org: 56)
(3,442)
0.08 3,442
60 📈
(Org: 67)
(3,397)
0.17 3,397
61 📈
(Org: 93)
(3,391)
0.4 3,391
62 📉
(Org: 55)
(3,216)
- 3,216
63 📉
(Org: 57)
(3,210)
0.01 3,210
64 📈
(Org: 68)
(3,098)
0.09 3,098
65 📉
(Org: 58)
(3,096)
0.01 3,096
66 📉
(Org: 59)
(3,076)
- 3,076
67 📉
(Org: 64)
(3,043)
0.04 3,043
68 📉
(Org: 61)
(3,041)
0.02 3,041
69 📉
(Org: 60)
(3,025)
0 3,025
70 📉
(Org: 65)
(3,000)
0.03 3,000
71 📉
(Org: 63)
(2,947)
- 2,947
72 📉
(Org: 66)
(2,897)
- 2,897
73 📉
(Org: 69)
(2,747)
0 2,747
74 📉
(Org: 70)
(2,697)
- 2,697
75 📉
(Org: 73)
(2,686)
0.01 2,686
76 📉
(Org: 71)
(2,683)
- 2,683
77 📉
(Org: 72)
(2,681)
0 2,681
78 📉
(Org: 74)
(2,653)
0.01 2,653
79 📉
(Org: 78)
(2,646)
0.05 2,646
80 📉
(Org: 75)
(2,629)
0 2,629
81 📈
(Org: 84)
(2,605)
0.14 2,605
82 📉
(Org: 79)
(2,562)
0.03 2,562
83 📉
(Org: 77)
(2,555)
- 2,555
84 📈
(Org: 87)
(2,515)
0.13 2,515
85 📈
(Org: 125)
(2,471)
0.44 2,471
86 📉
(Org: 81)
(2,336)
- 2,336
87 📉
(Org: 82)
(2,328)
- 2,328
88 📉
(Org: 83)
(2,314)
0 2,314
89 📈
(Org: 103)
(2,293)
0.23 2,293
90 📉
(Org: 85)
(2,240)
0.01 2,240
91 📉
(Org: 86)
(2,189)
- 2,189
92 📉
(Org: 90)
(2,143)
0.04 2,143
93 📉
(Org: 88)
(2,112)
0 2,112
94 📉
(Org: 89)
(2,103)
- 2,103
95 📉
(Org: 91)
(2,056)
- 2,056
96 📉
(Org: 92)
(2,036)
- 2,036
97 📉
(Org: 94)
(2,029)
- 2,029
98 📈
(Org: 99)
(2,024)
0.04 2,024
99 📉
(Org: 97)
(1,998)
0.02 1,998
100 📉
(Org: 95)
(1,979)
- 1,979