Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1963 - 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)
(87,432)
0.04 87,432
2 ➡️
(Org: 2)
(83,407)
0.06 83,407
3 ➡️
(Org: 3)
(78,466)
0 78,466
4 ➡️
(Org: 4)
(71,291)
- 71,291
5 ➡️
(Org: 5)
(70,012)
0 70,012
6 ➡️
(Org: 6)
(52,224)
0.06 52,224
7 ➡️
(Org: 7)
(44,492)
0 44,492
8 📈
(Org: 14)
(44,322)
0.34 44,322
9 📈
(Org: 10)
(41,668)
0.24 41,668
10 📉
(Org: 8)
(40,783)
0 40,783
11 📉
(Org: 9)
(35,690)
0.01 35,690
12 ➡️
(Org: 12)
(30,907)
0.02 30,907
13 📉
(Org: 11)
(30,768)
0.01 30,768
14 📉
(Org: 13)
(30,397)
0.01 30,397
15 📈
(Org: 20)
(29,822)
0.19 29,822
16 📉
(Org: 15)
(27,203)
0 27,203
17 📉
(Org: 16)
(26,767)
0 26,767
18 📉
(Org: 17)
(26,674)
0 26,674
19 📉
(Org: 18)
(25,256)
0 25,256
20 📉
(Org: 19)
(25,088)
0.01 25,088
21 ➡️
(Org: 21)
(21,600)
0.01 21,600
22 ➡️
(Org: 22)
(20,260)
0 20,260
23 ➡️
(Org: 23)
(19,820)
0 19,820
24 ➡️
(Org: 24)
(18,960)
0 18,960
25 ➡️
(Org: 25)
(18,896)
- 18,896
26 ➡️
(Org: 26)
(18,628)
0.02 18,628
27 ➡️
(Org: 27)
(15,327)
0 15,327
28 ➡️
(Org: 28)
(15,180)
0.01 15,180
29 📈
(Org: 30)
(14,789)
- 14,789
30 📈
(Org: 31)
(14,170)
0.06 14,170
31 📈
(Org: 32)
(12,523)
0.01 12,523
32 📈
(Org: 33)
(12,331)
0.01 12,331
33 📈
(Org: 34)
(12,124)
0 12,124
34 📈
(Org: 35)
(12,092)
0 12,092
35 📈
(Org: 36)
(11,698)
0 11,698
36 📈
(Org: 37)
(10,590)
0.01 10,590
37 📈
(Org: 38)
(10,504)
0.03 10,504
38 📈
(Org: 70)
(10,481)
0.46 10,481
39 📈
(Org: 47)
(10,258)
0.21 10,258
40 📉
(Org: 39)
(10,129)
0.03 10,129
41 📈
(Org: 54)
(9,717)
0.27 9,717
42 📉
(Org: 40)
(9,628)
0 9,628
43 📉
(Org: 41)
(9,525)
- 9,525
44 📉
(Org: 42)
(9,514)
- 9,514
45 📉
(Org: 43)
(9,273)
- 9,273
46 📉
(Org: 44)
(9,046)
- 9,046
47 📉
(Org: 45)
(8,786)
0 8,786
48 📈
(Org: 50)
(8,456)
0.05 8,456
49 📈
(Org: 64)
(8,332)
0.28 8,332
50 📉
(Org: 48)
(8,180)
0.01 8,180
51 📈
(Org: 53)
(8,156)
0.05 8,156
52 ➡️
(Org: 52)
(8,110)
0.03 8,110
53 📉
(Org: 51)
(8,090)
0.02 8,090
54 📉
(Org: 49)
(8,051)
- 8,051
55 ➡️
(Org: 55)
(7,261)
0.02 7,261
56 📈
(Org: 59)
(6,974)
0.09 6,974
57 📉
(Org: 56)
(6,931)
- 6,931
58 📉
(Org: 57)
(6,902)
0.03 6,902
59 📈
(Org: 65)
(6,889)
0.13 6,889
60 📈
(Org: 80)
(6,839)
0.27 6,839
61 📈
(Org: 81)
(6,602)
0.26 6,602
62 📉
(Org: 60)
(6,598)
0.07 6,598
63 📉
(Org: 58)
(6,405)
0 6,405
64 📈
(Org: 68)
(6,358)
0.1 6,358
65 📈
(Org: 78)
(6,201)
0.19 6,201
66 📉
(Org: 61)
(6,188)
0.01 6,188
67 📈
(Org: 108)
(6,175)
0.44 6,175
68 📉
(Org: 62)
(6,087)
0 6,087
69 📉
(Org: 63)
(6,036)
0 6,036
70 📉
(Org: 67)
(5,981)
0 5,981
71 📉
(Org: 66)
(5,978)
0 5,978
72 ➡️
(Org: 72)
(5,774)
0.07 5,774
73 📈
(Org: 101)
(5,732)
0.33 5,732
74 📉
(Org: 69)
(5,720)
0 5,720
75 📉
(Org: 71)
(5,513)
0.02 5,513
76 📉
(Org: 74)
(5,430)
0.03 5,430
77 📉
(Org: 75)
(5,372)
0.03 5,372
78 📉
(Org: 76)
(5,195)
0 5,195
79 📉
(Org: 77)
(5,066)
- 5,066
80 📉
(Org: 79)
(5,043)
0.01 5,043
81 📈
(Org: 88)
(4,930)
0.09 4,930
82 ➡️
(Org: 82)
(4,869)
0.02 4,869
83 📈
(Org: 95)
(4,801)
0.15 4,801
84 📈
(Org: 85)
(4,735)
0 4,735
85 📈
(Org: 86)
(4,651)
0.01 4,651
86 📈
(Org: 87)
(4,581)
0.01 4,581
87 📈
(Org: 89)
(4,475)
0.01 4,475
88 📈
(Org: 90)
(4,339)
- 4,339
89 📈
(Org: 91)
(4,303)
0.01 4,303
90 📈
(Org: 93)
(4,241)
0.01 4,241
91 📈
(Org: 92)
(4,237)
- 4,237
92 📈
(Org: 115)
(4,224)
0.26 4,224
93 📈
(Org: 94)
(4,210)
0.01 4,210
94 📈
(Org: 96)
(4,100)
0 4,100
95 📈
(Org: 97)
(4,055)
- 4,055
96 📈
(Org: 117)
(4,048)
0.23 4,048
97 📈
(Org: 98)
(4,013)
- 4,013
98 📈
(Org: 99)
(3,950)
0 3,950
99 📈
(Org: 116)
(3,911)
0.2 3,911
100 📈
(Org: 104)
(3,905)
0.07 3,905