Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1984 - 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)
(69,813)
0.03 69,813
2 ➡️
(Org: 2)
(63,246)
0.05 63,246
3 ➡️
(Org: 3)
(51,793)
0.04 51,793
4 ➡️
(Org: 4)
(40,502)
0.01 40,502
5 ➡️
(Org: 5)
(38,519)
0 38,519
6 ➡️
(Org: 6)
(36,872)
0.01 36,872
7 ➡️
(Org: 7)
(35,869)
0 35,869
8 ➡️
(Org: 8)
(34,487)
0.05 34,487
9 📈
(Org: 17)
(33,368)
0.26 33,368
10 📉
(Org: 9)
(31,772)
- 31,772
11 📉
(Org: 10)
(30,834)
0.01 30,834
12 📉
(Org: 11)
(30,529)
0.02 30,529
13 📈
(Org: 23)
(30,345)
0.4 30,345
14 📉
(Org: 12)
(28,762)
0 28,762
15 📈
(Org: 19)
(27,441)
0.15 27,441
16 📉
(Org: 13)
(27,027)
0.01 27,027
17 📉
(Org: 15)
(26,472)
0.03 26,472
18 📉
(Org: 14)
(25,935)
0 25,935
19 📈
(Org: 22)
(25,295)
0.17 25,295
20 📉
(Org: 16)
(24,979)
0 24,979
21 📉
(Org: 18)
(23,973)
0 23,973
22 📉
(Org: 20)
(22,800)
0.08 22,800
23 📉
(Org: 21)
(20,958)
- 20,958
24 📈
(Org: 28)
(19,394)
0.24 19,394
25 📈
(Org: 43)
(18,410)
0.46 18,410
26 📉
(Org: 24)
(17,969)
0.01 17,969
27 📉
(Org: 25)
(17,946)
0.02 17,946
28 📉
(Org: 26)
(17,016)
0 17,016
29 📉
(Org: 27)
(15,651)
0 15,651
30 📈
(Org: 32)
(15,322)
0.14 15,322
31 📈
(Org: 38)
(14,447)
0.27 14,447
32 📉
(Org: 29)
(13,905)
0.04 13,905
33 📉
(Org: 31)
(13,705)
0.03 13,705
34 📉
(Org: 30)
(13,445)
0.01 13,445
35 📉
(Org: 33)
(12,952)
0 12,952
36 📉
(Org: 34)
(12,561)
0 12,561
37 📉
(Org: 36)
(11,570)
0 11,570
38 📈
(Org: 52)
(11,489)
0.39 11,489
39 📉
(Org: 37)
(11,365)
0 11,365
40 📉
(Org: 39)
(10,698)
0.01 10,698
41 📉
(Org: 40)
(10,461)
- 10,461
42 📉
(Org: 41)
(10,459)
0.01 10,459
43 📉
(Org: 42)
(10,257)
0 10,257
44 📈
(Org: 45)
(9,989)
0.09 9,989
45 📉
(Org: 44)
(9,783)
0.01 9,783
46 📈
(Org: 50)
(8,834)
0.14 8,834
47 📉
(Org: 46)
(8,798)
0 8,798
48 📉
(Org: 47)
(8,792)
0.01 8,792
49 📈
(Org: 69)
(8,495)
0.5 8,495
50 📉
(Org: 49)
(8,024)
0 8,024
51 📈
(Org: 70)
(7,839)
0.46 7,839
52 📉
(Org: 51)
(7,150)
0.01 7,150
53 ➡️
(Org: 53)
(6,803)
0.03 6,803
54 ➡️
(Org: 54)
(6,515)
0 6,515
55 ➡️
(Org: 55)
(6,434)
0.01 6,434
56 📈
(Org: 59)
(6,066)
0.06 6,066
57 ➡️
(Org: 57)
(5,996)
- 5,996
58 ➡️
(Org: 58)
(5,914)
- 5,914
59 📈
(Org: 60)
(5,654)
0 5,654
60 📈
(Org: 62)
(5,519)
0.06 5,519
61 ➡️
(Org: 61)
(5,357)
0.01 5,357
62 📈
(Org: 63)
(5,062)
- 5,062
63 📈
(Org: 65)
(4,766)
0.05 4,766
64 ➡️
(Org: 64)
(4,644)
- 4,644
65 📈
(Org: 72)
(4,556)
0.1 4,556
66 ➡️
(Org: 66)
(4,524)
- 4,524
67 ➡️
(Org: 67)
(4,506)
- 4,506
68 ➡️
(Org: 68)
(4,342)
0.02 4,342
69 📈
(Org: 71)
(4,185)
0.01 4,185
70 📈
(Org: 75)
(4,097)
0.03 4,097
71 📈
(Org: 73)
(3,984)
0 3,984
72 📈
(Org: 76)
(3,966)
0 3,966
73 📈
(Org: 74)
(3,965)
- 3,965
74 📈
(Org: 82)
(3,912)
0.1 3,912
75 📈
(Org: 77)
(3,909)
0.01 3,909
76 📈
(Org: 78)
(3,866)
0.02 3,866
77 📈
(Org: 88)
(3,819)
0.15 3,819
78 📈
(Org: 108)
(3,513)
0.27 3,513
79 📈
(Org: 85)
(3,477)
0.04 3,477
80 📈
(Org: 96)
(3,461)
0.15 3,461
81 📈
(Org: 87)
(3,366)
0.01 3,366
82 📈
(Org: 86)
(3,331)
- 3,331
83 📈
(Org: 89)
(3,207)
0.01 3,207
84 📈
(Org: 90)
(3,177)
- 3,177
85 📈
(Org: 91)
(3,115)
0 3,115
86 📈
(Org: 91)
(3,105)
- 3,105
87 📈
(Org: 97)
(3,045)
0.03 3,045
88 📈
(Org: 93)
(3,035)
0 3,035
89 📈
(Org: 95)
(3,017)
0.01 3,017
90 📈
(Org: 100)
(2,944)
0.01 2,944
91 📈
(Org: 98)
(2,937)
- 2,937
92 📈
(Org: 101)
(2,931)
0.05 2,931
93 📈
(Org: 99)
(2,911)
- 2,911
94 📈
(Org: 106)
(2,782)
0.03 2,782
95 📈
(Org: 102)
(2,776)
- 2,776
96 📈
(Org: 103)
(2,757)
- 2,757
97 📈
(Org: 104)
(2,727)
- 2,727
98 📈
(Org: 105)
(2,704)
- 2,704
99 📈
(Org: 107)
(2,657)
- 2,657
100 📈
(Org: 138)
(2,635)
0.25 2,635