Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1978 - 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)
(69,425)
0.03 69,425
2 ➡️
(Org: 2)
(52,383)
0.01 52,383
3 ➡️
(Org: 3)
(51,070)
0.08 51,070
4 ➡️
(Org: 4)
(40,708)
0 40,708
5 ➡️
(Org: 5)
(39,912)
0 39,912
6 📈
(Org: 9)
(37,177)
0.21 37,177
7 ➡️
(Org: 7)
(36,459)
0.07 36,459
8 📉
(Org: 6)
(35,595)
0.04 35,595
9 📉
(Org: 8)
(33,379)
- 33,379
10 ➡️
(Org: 10)
(26,980)
0.01 26,980
11 ➡️
(Org: 11)
(26,775)
0.01 26,775
12 📈
(Org: 24)
(26,259)
0.38 26,259
13 📉
(Org: 12)
(25,337)
0.01 25,337
14 📉
(Org: 13)
(24,225)
0 24,225
15 📈
(Org: 16)
(23,856)
0.17 23,856
16 📈
(Org: 39)
(22,631)
0.59 22,631
17 📈
(Org: 19)
(22,153)
0.23 22,153
18 📉
(Org: 14)
(21,350)
0 21,350
19 📉
(Org: 15)
(20,228)
0.01 20,228
20 📉
(Org: 18)
(20,069)
0.03 20,069
21 📉
(Org: 17)
(19,610)
0 19,610
22 📈
(Org: 25)
(17,862)
0.09 17,862
23 📈
(Org: 26)
(17,334)
0.14 17,334
24 📉
(Org: 20)
(16,822)
0 16,822
25 📉
(Org: 21)
(16,775)
0 16,775
26 📉
(Org: 23)
(16,759)
0.02 16,759
27 📉
(Org: 22)
(16,727)
0 16,727
28 📉
(Org: 27)
(14,850)
0 14,850
29 📈
(Org: 31)
(14,383)
0.13 14,383
30 📉
(Org: 28)
(14,307)
0.01 14,307
31 📉
(Org: 29)
(13,943)
0 13,943
32 📉
(Org: 30)
(13,723)
0.01 13,723
33 📈
(Org: 36)
(13,040)
0.24 13,040
34 📉
(Org: 32)
(12,807)
0.04 12,807
35 📉
(Org: 33)
(11,733)
- 11,733
36 📉
(Org: 34)
(11,625)
0.02 11,625
37 📉
(Org: 35)
(10,203)
0.01 10,203
38 📈
(Org: 61)
(9,538)
0.48 9,538
39 📈
(Org: 40)
(9,505)
0.03 9,505
40 📉
(Org: 38)
(9,433)
0.01 9,433
41 ➡️
(Org: 41)
(9,039)
0 9,039
42 ➡️
(Org: 42)
(8,854)
0 8,854
43 📈
(Org: 75)
(8,347)
0.54 8,347
44 📈
(Org: 67)
(7,772)
0.44 7,772
45 📉
(Org: 44)
(7,155)
0 7,155
46 📈
(Org: 51)
(7,095)
0.14 7,095
47 📉
(Org: 46)
(6,966)
0 6,966
48 📉
(Org: 47)
(6,480)
- 6,480
49 📉
(Org: 48)
(6,423)
- 6,423
50 📈
(Org: 53)
(6,298)
0.03 6,298
51 📉
(Org: 49)
(6,229)
0.01 6,229
52 📉
(Org: 50)
(6,162)
- 6,162
53 📈
(Org: 54)
(5,891)
0 5,891
54 📈
(Org: 55)
(5,759)
- 5,759
55 📈
(Org: 56)
(5,497)
- 5,497
56 📈
(Org: 57)
(5,469)
0.01 5,469
57 📈
(Org: 58)
(5,342)
0.01 5,342
58 📈
(Org: 59)
(5,229)
0.02 5,229
59 📈
(Org: 60)
(5,124)
0 5,124
60 📈
(Org: 62)
(4,837)
- 4,837
61 📈
(Org: 65)
(4,704)
0.05 4,704
62 📈
(Org: 66)
(4,582)
0.02 4,582
63 📈
(Org: 64)
(4,521)
0 4,521
64 📉
(Org: 63)
(4,517)
- 4,517
65 📈
(Org: 68)
(4,202)
0.01 4,202
66 📈
(Org: 69)
(4,134)
- 4,134
67 📈
(Org: 72)
(4,049)
0.05 4,049
68 📈
(Org: 70)
(3,996)
- 3,996
69 📈
(Org: 71)
(3,983)
0.03 3,983
70 📈
(Org: 74)
(3,810)
- 3,810
71 📈
(Org: 77)
(3,776)
- 3,776
72 📈
(Org: 78)
(3,729)
- 3,729
73 📈
(Org: 79)
(3,709)
0.01 3,709
74 📈
(Org: 82)
(3,547)
0.03 3,547
75 📈
(Org: 100)
(3,526)
0.26 3,526
76 📈
(Org: 83)
(3,477)
0.05 3,477
77 📈
(Org: 89)
(3,468)
0.1 3,468
78 📈
(Org: 81)
(3,445)
- 3,445
79 📈
(Org: 92)
(3,322)
0.1 3,322
80 📈
(Org: 86)
(3,258)
0.01 3,258
81 📈
(Org: 95)
(3,255)
0.12 3,255
82 📈
(Org: 87)
(3,200)
0.01 3,200
83 📈
(Org: 88)
(3,153)
- 3,153
84 📈
(Org: 96)
(3,144)
0.1 3,144
85 📈
(Org: 90)
(3,141)
0 3,141
86 📈
(Org: 91)
(3,109)
0.01 3,109
87 📈
(Org: 93)
(3,078)
0.03 3,078
88 📈
(Org: 109)
(3,024)
0.21 3,024
89 📈
(Org: 97)
(2,858)
0.03 2,858
90 📈
(Org: 99)
(2,821)
0.04 2,821
91 📈
(Org: 98)
(2,739)
- 2,739
92 📈
(Org: 130)
(2,702)
0.25 2,702
93 📈
(Org: 118)
(2,687)
0.19 2,687
94 📈
(Org: 112)
(2,686)
0.14 2,686
95 📈
(Org: 101)
(2,605)
0.02 2,605
96 📈
(Org: 102)
(2,555)
- 2,555
97 📈
(Org: 103)
(2,549)
- 2,549
98 📈
(Org: 105)
(2,547)
0.02 2,547
99 📈
(Org: 106)
(2,504)
- 2,504
100 📈
(Org: 110)
(2,485)
0.04 2,485