Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1959 - 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)
(89,863)
0.05 89,863
2 ➡️
(Org: 2)
(83,982)
0 83,982
3 📈
(Org: 4)
(80,452)
0.05 80,452
4 📉
(Org: 3)
(78,644)
- 78,644
5 ➡️
(Org: 5)
(74,561)
0 74,561
6 ➡️
(Org: 6)
(59,450)
0.04 59,450
7 ➡️
(Org: 7)
(51,431)
0 51,431
8 📈
(Org: 10)
(50,127)
0.33 50,127
9 📉
(Org: 8)
(47,239)
0 47,239
10 📉
(Org: 9)
(40,485)
0 40,485
11 📈
(Org: 16)
(35,226)
0.25 35,226
12 ➡️
(Org: 12)
(30,828)
0 30,828
13 📉
(Org: 11)
(30,803)
0 30,803
14 📉
(Org: 13)
(29,823)
0.01 29,823
15 📉
(Org: 14)
(26,907)
0 26,907
16 📉
(Org: 15)
(26,672)
0 26,672
17 ➡️
(Org: 17)
(25,709)
- 25,709
18 📈
(Org: 22)
(25,617)
0.19 25,617
19 📉
(Org: 18)
(25,413)
0.01 25,413
20 📉
(Org: 19)
(23,877)
- 23,877
21 📉
(Org: 20)
(23,359)
0 23,359
22 📉
(Org: 21)
(23,158)
0 23,158
23 📈
(Org: 24)
(20,289)
0.03 20,289
24 📉
(Org: 23)
(19,978)
0 19,978
25 ➡️
(Org: 25)
(18,495)
0 18,495
26 ➡️
(Org: 26)
(17,989)
0 17,989
27 📈
(Org: 34)
(17,518)
0.24 17,518
28 📉
(Org: 27)
(16,921)
0 16,921
29 ➡️
(Org: 29)
(16,427)
0.02 16,427
30 ➡️
(Org: 30)
(15,402)
0.01 15,402
31 ➡️
(Org: 31)
(15,123)
0.01 15,123
32 ➡️
(Org: 32)
(15,046)
0 15,046
33 ➡️
(Org: 33)
(14,607)
0 14,607
34 📈
(Org: 35)
(13,098)
0.01 13,098
35 📈
(Org: 36)
(12,855)
0.04 12,855
36 📈
(Org: 37)
(11,997)
- 11,997
37 📈
(Org: 38)
(11,912)
- 11,912
38 📈
(Org: 39)
(11,824)
0.01 11,824
39 📈
(Org: 68)
(11,529)
0.49 11,529
40 ➡️
(Org: 40)
(11,304)
0 11,304
41 ➡️
(Org: 41)
(11,067)
- 11,067
42 ➡️
(Org: 42)
(10,941)
- 10,941
43 ➡️
(Org: 43)
(10,594)
0 10,594
44 📈
(Org: 46)
(10,326)
0.06 10,326
45 📉
(Org: 44)
(10,084)
0.02 10,084
46 📈
(Org: 54)
(9,933)
0.24 9,933
47 📉
(Org: 45)
(9,810)
0 9,810
48 📉
(Org: 47)
(9,276)
0.05 9,276
49 📉
(Org: 48)
(8,918)
0.02 8,918
50 📈
(Org: 59)
(8,511)
0.17 8,511
51 📉
(Org: 49)
(8,366)
0 8,366
52 📉
(Org: 50)
(8,152)
- 8,152
53 📈
(Org: 79)
(8,045)
0.33 8,045
54 📉
(Org: 51)
(7,878)
- 7,878
55 📉
(Org: 52)
(7,784)
0.01 7,784
55 📉
(Org: 53)
(7,784)
0.03 7,784
57 📈
(Org: 76)
(7,717)
0.29 7,717
58 📉
(Org: 56)
(7,680)
0.03 7,680
59 📉
(Org: 57)
(7,420)
0 7,420
60 📈
(Org: 62)
(7,342)
0.1 7,342
61 📈
(Org: 69)
(7,146)
0.18 7,146
62 📉
(Org: 58)
(7,089)
- 7,089
63 📉
(Org: 61)
(7,064)
0.06 7,064
64 📉
(Org: 63)
(6,903)
0.05 6,903
65 📉
(Org: 60)
(6,869)
0.01 6,869
66 📉
(Org: 65)
(6,516)
0.03 6,516
67 📉
(Org: 64)
(6,413)
0.02 6,413
68 📈
(Org: 71)
(6,296)
0.1 6,296
69 📈
(Org: 91)
(6,222)
0.25 6,222
70 📉
(Org: 66)
(6,129)
- 6,129
71 📉
(Org: 67)
(5,915)
- 5,915
72 📈
(Org: 75)
(5,861)
0.06 5,861
73 📉
(Org: 72)
(5,845)
0.03 5,845
74 📉
(Org: 70)
(5,692)
0 5,692
75 📉
(Org: 73)
(5,624)
0 5,624
76 ➡️
(Org: 76)
(5,510)
0.01 5,510
77 📈
(Org: 78)
(5,446)
0.01 5,446
78 📈
(Org: 90)
(5,418)
0.14 5,418
79 ➡️
(Org: 79)
(5,370)
0 5,370
80 📈
(Org: 81)
(5,222)
0.01 5,222
81 📈
(Org: 82)
(5,099)
0.01 5,099
82 📈
(Org: 83)
(5,087)
0 5,087
83 📈
(Org: 85)
(5,075)
0.01 5,075
84 ➡️
(Org: 84)
(5,059)
0 5,059
85 📈
(Org: 86)
(5,017)
0.01 5,017
86 📈
(Org: 89)
(5,002)
0.01 5,002
87 📈
(Org: 88)
(4,972)
0.01 4,972
88 📉
(Org: 87)
(4,955)
0 4,955
89 📈
(Org: 100)
(4,649)
0.07 4,649
90 📈
(Org: 114)
(4,621)
0.23 4,621
91 📈
(Org: 92)
(4,607)
- 4,607
92 📈
(Org: 93)
(4,597)
- 4,597
93 📈
(Org: 130)
(4,497)
0.38 4,497
94 📈
(Org: 101)
(4,485)
0.05 4,485
95 ➡️
(Org: 95)
(4,462)
0.01 4,462
96 📈
(Org: 98)
(4,374)
0.01 4,374
97 ➡️
(Org: 97)
(4,367)
- 4,367
98 📈
(Org: 99)
(4,332)
- 4,332
99 📈
(Org: 102)
(4,237)
0.01 4,237
100 📈
(Org: 103)
(4,155)
0.03 4,155