Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1962 - 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)
(89,008)
0.04 89,008
2 📈
(Org: 3)
(83,258)
0.06 83,258
3 📉
(Org: 2)
(81,346)
0 81,346
4 ➡️
(Org: 4)
(72,579)
0 72,579
5 ➡️
(Org: 5)
(70,210)
0 70,210
6 ➡️
(Org: 6)
(56,472)
0.05 56,472
7 📈
(Org: 12)
(46,307)
0.34 46,307
8 📉
(Org: 7)
(44,901)
0 44,901
9 📈
(Org: 10)
(44,336)
0.24 44,336
10 📉
(Org: 8)
(39,434)
0 39,434
11 📉
(Org: 9)
(36,750)
0.01 36,750
12 📉
(Org: 11)
(31,236)
0.02 31,236
13 ➡️
(Org: 13)
(30,384)
0.01 30,384
14 📈
(Org: 20)
(28,619)
0.19 28,619
15 📉
(Org: 14)
(28,491)
0.01 28,491
16 📉
(Org: 15)
(27,597)
0 27,597
17 📉
(Org: 16)
(27,152)
0 27,152
18 📉
(Org: 17)
(25,830)
0.01 25,830
19 📉
(Org: 18)
(25,277)
0 25,277
20 📉
(Org: 19)
(23,814)
0 23,814
21 ➡️
(Org: 21)
(22,113)
0.01 22,113
22 ➡️
(Org: 22)
(20,935)
0 20,935
23 ➡️
(Org: 23)
(20,422)
- 20,422
24 ➡️
(Org: 24)
(20,121)
0 20,121
25 ➡️
(Org: 25)
(20,002)
0 20,002
26 ➡️
(Org: 26)
(17,802)
0.01 17,802
27 ➡️
(Org: 27)
(16,046)
0.01 16,046
28 📈
(Org: 29)
(15,515)
- 15,515
29 📈
(Org: 33)
(13,067)
0.06 13,067
30 📈
(Org: 31)
(12,763)
0 12,763
31 📉
(Org: 30)
(12,751)
- 12,751
32 ➡️
(Org: 32)
(12,567)
0 12,567
33 📈
(Org: 34)
(12,354)
0 12,354
34 📈
(Org: 35)
(11,894)
0 11,894
35 📈
(Org: 36)
(11,687)
0.01 11,687
36 📈
(Org: 50)
(11,048)
0.21 11,048
37 📈
(Org: 68)
(11,007)
0.47 11,007
38 📉
(Org: 37)
(10,966)
0.03 10,966
39 📉
(Org: 38)
(10,920)
0.03 10,920
40 ➡️
(Org: 40)
(10,526)
0 10,526
41 📉
(Org: 39)
(10,525)
- 10,525
42 📈
(Org: 55)
(10,188)
0.28 10,188
43 📉
(Org: 41)
(10,038)
- 10,038
44 📉
(Org: 42)
(9,760)
- 9,760
45 📉
(Org: 43)
(9,597)
0 9,597
46 📉
(Org: 44)
(9,496)
0.01 9,496
47 ➡️
(Org: 47)
(9,489)
0.04 9,489
48 📈
(Org: 58)
(9,363)
0.27 9,363
49 📉
(Org: 46)
(9,152)
- 9,152
50 📉
(Org: 48)
(9,080)
0 9,080
51 ➡️
(Org: 51)
(8,790)
0.03 8,790
52 📉
(Org: 49)
(8,696)
- 8,696
53 📉
(Org: 52)
(8,423)
0.03 8,423
54 ➡️
(Org: 54)
(7,801)
0.02 7,801
55 📉
(Org: 53)
(7,720)
- 7,720
56 ➡️
(Org: 56)
(7,612)
0.04 7,612
57 📈
(Org: 59)
(7,460)
0.09 7,460
58 📈
(Org: 64)
(7,272)
0.14 7,272
59 📈
(Org: 77)
(7,267)
0.26 7,267
60 📉
(Org: 57)
(7,249)
0.03 7,249
61 📉
(Org: 59)
(6,826)
0 6,826
62 📈
(Org: 83)
(6,771)
0.27 6,771
63 📈
(Org: 65)
(6,725)
0.07 6,725
64 📉
(Org: 61)
(6,612)
0 6,612
65 📈
(Org: 75)
(6,609)
0.16 6,609
66 📉
(Org: 62)
(6,393)
0 6,393
67 📉
(Org: 63)
(6,329)
0 6,329
68 📈
(Org: 70)
(6,307)
0.11 6,307
69 📉
(Org: 66)
(6,195)
0.01 6,195
70 📈
(Org: 100)
(6,077)
0.32 6,077
71 📉
(Org: 67)
(6,053)
0 6,053
72 📈
(Org: 73)
(5,919)
0.06 5,919
73 📉
(Org: 69)
(5,893)
0.02 5,893
74 📉
(Org: 72)
(5,782)
0.03 5,782
75 📉
(Org: 71)
(5,610)
0 5,610
76 📉
(Org: 74)
(5,548)
0 5,548
77 📈
(Org: 78)
(5,479)
0.03 5,479
78 📉
(Org: 76)
(5,442)
0 5,442
79 ➡️
(Org: 79)
(5,280)
- 5,280
80 ➡️
(Org: 80)
(5,177)
0 5,177
81 📈
(Org: 124)
(5,116)
0.44 5,116
82 📈
(Org: 87)
(4,739)
0.02 4,739
83 📈
(Org: 85)
(4,712)
- 4,712
84 📈
(Org: 94)
(4,708)
0.1 4,708
85 📈
(Org: 86)
(4,691)
0.01 4,691
86 📈
(Org: 89)
(4,619)
0.02 4,619
87 📈
(Org: 102)
(4,617)
0.16 4,617
88 ➡️
(Org: 88)
(4,613)
0.01 4,613
89 📈
(Org: 90)
(4,505)
0.01 4,505
90 📈
(Org: 91)
(4,475)
0.01 4,475
91 📈
(Org: 92)
(4,369)
0.01 4,369
92 📈
(Org: 93)
(4,270)
- 4,270
93 📈
(Org: 99)
(4,238)
0.02 4,238
94 📈
(Org: 95)
(4,235)
- 4,235
95 📈
(Org: 96)
(4,209)
- 4,209
96 📈
(Org: 98)
(4,195)
0.01 4,195
97 📈
(Org: 116)
(4,191)
0.22 4,191
98 📉
(Org: 97)
(4,188)
0 4,188
99 📈
(Org: 119)
(4,160)
0.25 4,160
100 📈
(Org: 101)
(4,072)
- 4,072