Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1981 - 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)
(70,973)
0.03 70,973
2 ➡️
(Org: 2)
(53,262)
0.06 53,262
3 ➡️
(Org: 3)
(45,005)
0.04 45,005
4 ➡️
(Org: 4)
(42,655)
0.02 42,655
5 ➡️
(Org: 5)
(40,661)
0 40,661
6 ➡️
(Org: 6)
(39,259)
0.01 39,259
7 ➡️
(Org: 7)
(38,304)
0 38,304
8 ➡️
(Org: 8)
(36,982)
0.06 36,982
9 ➡️
(Org: 9)
(34,404)
0 34,404
10 📈
(Org: 14)
(34,177)
0.22 34,177
11 📉
(Org: 10)
(31,331)
0.01 31,331
12 📉
(Org: 11)
(31,122)
0.01 31,122
13 📉
(Org: 12)
(27,534)
0.01 27,534
14 📉
(Org: 13)
(26,861)
0 26,861
15 📈
(Org: 28)
(26,792)
0.38 26,792
16 ➡️
(Org: 16)
(26,065)
0.13 26,065
17 ➡️
(Org: 17)
(25,550)
0.19 25,550
18 📉
(Org: 15)
(24,860)
0 24,860
19 📈
(Org: 21)
(21,464)
0.08 21,464
20 📈
(Org: 29)
(20,859)
0.24 20,859
21 📉
(Org: 19)
(20,850)
0.03 20,850
22 📉
(Org: 18)
(20,246)
0 20,246
23 📉
(Org: 20)
(20,062)
0 20,062
24 📉
(Org: 22)
(19,641)
0.03 19,641
25 📈
(Org: 44)
(19,464)
0.54 19,464
26 📉
(Org: 23)
(18,582)
0 18,582
27 📉
(Org: 24)
(18,254)
0 18,254
28 📉
(Org: 25)
(17,552)
0.01 17,552
29 📉
(Org: 26)
(17,503)
0.02 17,503
30 📉
(Org: 27)
(16,881)
0 16,881
31 📈
(Org: 33)
(15,591)
0.13 15,591
32 📈
(Org: 36)
(15,223)
0.26 15,223
33 📉
(Org: 30)
(15,199)
0.03 15,199
34 📉
(Org: 32)
(14,527)
0.01 14,527
35 📉
(Org: 31)
(14,436)
0 14,436
36 📉
(Org: 34)
(12,884)
0.01 12,884
37 ➡️
(Org: 37)
(11,876)
0.12 11,876
38 📉
(Org: 35)
(11,784)
0 11,784
39 📈
(Org: 53)
(11,282)
0.43 11,282
40 📉
(Org: 38)
(10,412)
0 10,412
41 📉
(Org: 40)
(10,129)
0 10,129
42 📉
(Org: 41)
(9,485)
0 9,485
43 📉
(Org: 42)
(9,390)
0 9,390
44 📉
(Org: 43)
(9,357)
0 9,357
45 📈
(Org: 46)
(8,843)
0.01 8,843
46 📉
(Org: 45)
(8,780)
0 8,780
47 ➡️
(Org: 47)
(8,477)
0.01 8,477
48 📈
(Org: 69)
(8,328)
0.49 8,328
49 📈
(Org: 66)
(8,230)
0.45 8,230
50 ➡️
(Org: 50)
(7,149)
0.04 7,149
51 ➡️
(Org: 51)
(6,661)
- 6,661
52 ➡️
(Org: 52)
(6,571)
- 6,571
53 📈
(Org: 57)
(6,148)
0.05 6,148
54 ➡️
(Org: 54)
(6,107)
0.01 6,107
55 ➡️
(Org: 55)
(6,015)
0 6,015
56 ➡️
(Org: 56)
(5,911)
- 5,911
57 📈
(Org: 58)
(5,669)
0.01 5,669
58 📈
(Org: 59)
(5,538)
- 5,538
59 📈
(Org: 60)
(5,500)
- 5,500
60 📈
(Org: 63)
(5,330)
0.09 5,330
61 ➡️
(Org: 61)
(5,245)
0.02 5,245
62 ➡️
(Org: 62)
(4,966)
0 4,966
63 📈
(Org: 64)
(4,844)
0.01 4,844
64 📈
(Org: 65)
(4,540)
- 4,540
65 📈
(Org: 67)
(4,515)
0 4,515
66 📈
(Org: 68)
(4,375)
0 4,375
67 📈
(Org: 79)
(4,307)
0.12 4,307
68 📈
(Org: 70)
(4,244)
0 4,244
69 📈
(Org: 72)
(4,200)
0.03 4,200
70 📈
(Org: 71)
(4,182)
- 4,182
71 📈
(Org: 73)
(3,966)
0 3,966
72 📈
(Org: 74)
(3,953)
- 3,953
73 📈
(Org: 91)
(3,951)
0.15 3,951
74 📈
(Org: 75)
(3,948)
0.01 3,948
75 📈
(Org: 85)
(3,898)
0.1 3,898
76 📈
(Org: 106)
(3,897)
0.28 3,897
77 ➡️
(Org: 77)
(3,896)
- 3,896
78 📈
(Org: 81)
(3,862)
0.04 3,862
79 📈
(Org: 83)
(3,764)
0.03 3,764
80 📈
(Org: 94)
(3,640)
0.12 3,640
80 📈
(Org: 82)
(3,640)
- 3,640
82 📈
(Org: 88)
(3,615)
0.07 3,615
83 📈
(Org: 91)
(3,405)
0.02 3,405
84 📈
(Org: 87)
(3,403)
0.01 3,403
85 📈
(Org: 89)
(3,387)
0.01 3,387
86 📈
(Org: 99)
(3,207)
0.05 3,207
87 📈
(Org: 97)
(3,162)
0.03 3,162
88 📈
(Org: 98)
(3,155)
0.03 3,155
89 📈
(Org: 96)
(3,145)
0.01 3,145
90 📈
(Org: 95)
(3,137)
- 3,137
91 📈
(Org: 102)
(3,092)
0.05 3,092
92 📈
(Org: 100)
(3,026)
0 3,026
93 📈
(Org: 103)
(2,996)
0.04 2,996
94 📈
(Org: 122)
(2,981)
0.25 2,981
95 📈
(Org: 101)
(2,975)
0.02 2,975
96 📈
(Org: 105)
(2,843)
0.01 2,843
97 📈
(Org: 104)
(2,842)
- 2,842
98 📈
(Org: 107)
(2,817)
0.02 2,817
99 📈
(Org: 108)
(2,758)
- 2,758
100 📈
(Org: 110)
(2,757)
0.04 2,757