Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1964 - 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: 2)
(87,465)
0.06 87,465
2 📉
(Org: 1)
(85,847)
0.04 85,847
3 ➡️
(Org: 3)
(75,055)
0 75,055
4 ➡️
(Org: 4)
(73,035)
0 73,035
5 ➡️
(Org: 5)
(69,996)
0 69,996
6 ➡️
(Org: 6)
(48,354)
0.06 48,354
7 📈
(Org: 12)
(44,681)
0.34 44,681
8 📉
(Org: 7)
(44,256)
0 44,256
9 📈
(Org: 10)
(40,558)
0.24 40,558
10 📉
(Org: 8)
(40,114)
0 40,114
11 📉
(Org: 9)
(34,647)
0.01 34,647
12 📉
(Org: 11)
(30,865)
0.01 30,865
13 📈
(Org: 20)
(29,896)
0.19 29,896
14 📉
(Org: 13)
(29,531)
0.01 29,531
15 📉
(Org: 14)
(29,073)
0.02 29,073
16 📉
(Org: 15)
(28,128)
0 28,128
17 📉
(Org: 16)
(26,882)
0 26,882
18 📉
(Org: 17)
(25,919)
0 25,919
19 📉
(Org: 18)
(24,892)
0 24,892
20 📉
(Org: 19)
(24,601)
0.01 24,601
21 ➡️
(Org: 21)
(20,139)
0 20,139
22 ➡️
(Org: 22)
(20,024)
0.01 20,024
23 ➡️
(Org: 23)
(19,958)
0.02 19,958
24 ➡️
(Org: 24)
(18,875)
0 18,875
25 ➡️
(Org: 25)
(18,050)
- 18,050
26 ➡️
(Org: 26)
(17,252)
0 17,252
27 📈
(Org: 32)
(16,041)
0.09 16,041
28 📉
(Org: 27)
(15,608)
- 15,608
29 📉
(Org: 28)
(15,349)
- 15,349
30 ➡️
(Org: 30)
(14,741)
0 14,741
31 ➡️
(Org: 31)
(14,698)
0.01 14,698
32 📈
(Org: 33)
(11,836)
0 11,836
33 📈
(Org: 34)
(11,743)
0.01 11,743
34 📈
(Org: 35)
(10,925)
0.01 10,925
35 📈
(Org: 36)
(10,704)
0 10,704
36 📈
(Org: 67)
(10,552)
0.48 10,552
37 ➡️
(Org: 37)
(10,495)
- 10,495
38 ➡️
(Org: 38)
(10,361)
0.01 10,361
39 📈
(Org: 40)
(9,927)
0.03 9,927
40 📉
(Org: 39)
(9,923)
0 9,923
41 📈
(Org: 42)
(9,604)
0.03 9,604
42 📈
(Org: 43)
(9,431)
0.05 9,431
43 📉
(Org: 41)
(9,338)
- 9,338
44 📈
(Org: 55)
(9,129)
0.27 9,129
45 📉
(Org: 44)
(8,598)
0 8,598
46 📈
(Org: 54)
(8,482)
0.2 8,482
47 📈
(Org: 88)
(8,057)
0.45 8,057
48 ➡️
(Org: 48)
(7,940)
0.02 7,940
49 📉
(Org: 46)
(7,893)
- 7,893
50 📉
(Org: 47)
(7,768)
- 7,768
51 📉
(Org: 49)
(7,767)
0.05 7,767
52 📉
(Org: 50)
(7,404)
0.03 7,404
53 📉
(Org: 51)
(7,096)
0 7,096
54 📉
(Org: 52)
(6,985)
0.01 6,985
55 📈
(Org: 81)
(6,877)
0.31 6,877
56 📉
(Org: 53)
(6,811)
- 6,811
57 📉
(Org: 56)
(6,611)
0.02 6,611
58 ➡️
(Org: 58)
(6,389)
0.02 6,389
59 📈
(Org: 66)
(6,341)
0.13 6,341
60 ➡️
(Org: 60)
(6,320)
0.07 6,320
61 📉
(Org: 57)
(6,313)
0 6,313
62 📈
(Org: 65)
(6,208)
0.09 6,208
63 📈
(Org: 87)
(6,185)
0.29 6,185
64 📉
(Org: 59)
(6,073)
- 6,073
65 📈
(Org: 68)
(6,055)
0.1 6,055
66 📈
(Org: 79)
(5,989)
0.18 5,989
67 📉
(Org: 62)
(5,849)
0 5,849
68 📉
(Org: 61)
(5,841)
0 5,841
69 📉
(Org: 63)
(5,741)
0 5,741
70 📉
(Org: 64)
(5,711)
0.01 5,711
71 📈
(Org: 95)
(5,477)
0.27 5,477
72 📈
(Org: 104)
(5,475)
0.36 5,475
73 📈
(Org: 75)
(5,449)
0.07 5,449
74 📉
(Org: 71)
(5,389)
0.04 5,389
75 📉
(Org: 69)
(5,385)
0 5,385
76 📉
(Org: 73)
(5,235)
0.03 5,235
77 📉
(Org: 72)
(5,186)
0 5,186
78 📉
(Org: 74)
(5,176)
0.02 5,176
79 📈
(Org: 83)
(5,109)
0.09 5,109
80 📉
(Org: 77)
(5,098)
0.03 5,098
81 📉
(Org: 80)
(4,844)
- 4,844
82 ➡️
(Org: 82)
(4,725)
0.01 4,725
83 📈
(Org: 96)
(4,679)
0.15 4,679
84 ➡️
(Org: 84)
(4,591)
0 4,591
85 ➡️
(Org: 85)
(4,540)
0.01 4,540
86 ➡️
(Org: 86)
(4,519)
0.01 4,519
87 📈
(Org: 105)
(4,344)
0.23 4,344
88 📈
(Org: 91)
(4,202)
0.01 4,202
89 ➡️
(Org: 89)
(4,175)
0.01 4,175
90 📉
(Org: 89)
(4,174)
0.01 4,174
91 📈
(Org: 92)
(4,142)
0 4,142
92 📈
(Org: 93)
(4,098)
- 4,098
93 📈
(Org: 109)
(3,982)
0.21 3,982
94 📈
(Org: 156)
(3,981)
0.47 3,981
95 📉
(Org: 94)
(3,974)
- 3,974
96 📈
(Org: 97)
(3,945)
- 3,945
97 📈
(Org: 98)
(3,884)
0 3,884
98 📈
(Org: 120)
(3,865)
0.26 3,865
99 📈
(Org: 102)
(3,857)
0.07 3,857
100 📉
(Org: 99)
(3,855)
0.01 3,855