Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1979 - 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)
(70,073)
0.03 70,073
2 ➡️
(Org: 2)
(54,117)
0.06 54,117
3 ➡️
(Org: 3)
(51,313)
0.02 51,313
4 ➡️
(Org: 4)
(42,096)
0 42,096
5 ➡️
(Org: 5)
(39,357)
0 39,357
6 📈
(Org: 7)
(37,743)
0.06 37,743
7 📉
(Org: 6)
(36,915)
0.03 36,915
8 📈
(Org: 10)
(36,480)
0.21 36,480
9 📉
(Org: 8)
(34,026)
0 34,026
10 📉
(Org: 9)
(31,331)
0.01 31,331
11 ➡️
(Org: 11)
(28,976)
0.01 28,976
12 ➡️
(Org: 12)
(28,852)
0.01 28,852
13 📈
(Org: 27)
(26,252)
0.38 26,252
14 📈
(Org: 17)
(25,847)
0.22 25,847
15 📉
(Org: 13)
(24,744)
0 24,744
16 📉
(Org: 14)
(23,250)
0 23,250
17 📉
(Org: 15)
(23,018)
0.07 23,018
18 📈
(Org: 24)
(21,787)
0.23 21,787
19 📉
(Org: 16)
(21,653)
0.03 21,653
20 📈
(Org: 43)
(19,635)
0.6 19,635
21 📉
(Org: 18)
(19,108)
0 19,108
22 📉
(Org: 19)
(18,840)
0.01 18,840
23 📉
(Org: 20)
(18,617)
- 18,617
24 📉
(Org: 22)
(17,553)
0.01 17,553
25 📉
(Org: 21)
(17,525)
0 17,525
26 📉
(Org: 23)
(17,076)
0 17,076
27 📉
(Org: 25)
(16,738)
0 16,738
28 📉
(Org: 26)
(16,726)
0.02 16,726
29 📈
(Org: 30)
(16,665)
0.14 16,665
30 📈
(Org: 31)
(16,550)
0.13 16,550
31 📉
(Org: 28)
(14,813)
0 14,813
32 📉
(Org: 29)
(14,626)
0.01 14,626
33 📈
(Org: 37)
(13,985)
0.23 13,985
34 📉
(Org: 32)
(13,554)
0.04 13,554
35 📉
(Org: 33)
(12,693)
0.01 12,693
36 📉
(Org: 34)
(11,632)
- 11,632
37 📉
(Org: 35)
(11,621)
0.03 11,621
38 📉
(Org: 36)
(11,065)
0 11,065
39 📉
(Org: 38)
(10,240)
0.01 10,240
40 📉
(Org: 39)
(10,002)
0 10,002
41 ➡️
(Org: 41)
(9,243)
0 9,243
42 ➡️
(Org: 42)
(9,191)
0.01 9,191
43 📈
(Org: 63)
(9,083)
0.48 9,083
44 📈
(Org: 72)
(8,781)
0.52 8,781
45 📈
(Org: 68)
(7,982)
0.45 7,982
46 📉
(Org: 44)
(7,854)
0 7,854
47 📈
(Org: 50)
(7,809)
0.14 7,809
48 📉
(Org: 45)
(7,546)
- 7,546
49 📉
(Org: 47)
(7,165)
0.03 7,165
50 📉
(Org: 48)
(6,875)
- 6,875
51 ➡️
(Org: 51)
(6,509)
- 6,509
52 ➡️
(Org: 52)
(6,235)
0.01 6,235
53 ➡️
(Org: 53)
(6,093)
0 6,093
54 📈
(Org: 55)
(5,766)
0.01 5,766
55 📉
(Org: 54)
(5,693)
- 5,693
56 ➡️
(Org: 56)
(5,450)
- 5,450
57 ➡️
(Org: 57)
(5,326)
0.01 5,326
58 ➡️
(Org: 58)
(5,231)
0.01 5,231
59 ➡️
(Org: 59)
(5,068)
0.01 5,068
60 ➡️
(Org: 60)
(4,984)
- 4,984
61 ➡️
(Org: 61)
(4,943)
- 4,943
62 ➡️
(Org: 62)
(4,916)
0 4,916
63 📈
(Org: 65)
(4,896)
0.05 4,896
64 📈
(Org: 67)
(4,672)
0.04 4,672
65 📈
(Org: 74)
(4,576)
0.09 4,576
66 📈
(Org: 69)
(4,398)
0 4,398
67 📈
(Org: 70)
(4,336)
- 4,336
68 📈
(Org: 71)
(4,226)
0 4,226
69 📈
(Org: 75)
(4,189)
0.03 4,189
70 📈
(Org: 73)
(4,165)
- 4,165
71 📈
(Org: 77)
(4,153)
0.03 4,153
72 📈
(Org: 76)
(4,049)
- 4,049
73 📈
(Org: 78)
(3,930)
- 3,930
74 📈
(Org: 100)
(3,892)
0.26 3,892
75 📈
(Org: 79)
(3,829)
0.01 3,829
76 📈
(Org: 81)
(3,720)
- 3,720
77 📈
(Org: 88)
(3,634)
0.11 3,634
78 📈
(Org: 91)
(3,596)
0.11 3,596
79 📈
(Org: 85)
(3,556)
0.03 3,556
80 📈
(Org: 98)
(3,487)
0.14 3,487
81 📈
(Org: 84)
(3,474)
0 3,474
82 📈
(Org: 86)
(3,457)
0.01 3,457
83 📈
(Org: 102)
(3,453)
0.2 3,453
84 📈
(Org: 93)
(3,401)
0.09 3,401
85 📈
(Org: 89)
(3,350)
0.03 3,350
86 📈
(Org: 90)
(3,277)
0.01 3,277
87 📈
(Org: 92)
(3,238)
0.03 3,238
88 📈
(Org: 97)
(3,094)
0.03 3,094
89 📈
(Org: 95)
(3,072)
0.01 3,072
90 📈
(Org: 94)
(3,065)
0 3,065
91 📈
(Org: 99)
(2,962)
- 2,962
92 📈
(Org: 124)
(2,943)
0.24 2,943
93 📈
(Org: 101)
(2,840)
- 2,840
94 📈
(Org: 108)
(2,728)
0.07 2,728
95 📈
(Org: 104)
(2,726)
0.03 2,726
96 📈
(Org: 103)
(2,722)
0.01 2,722
97 📈
(Org: 123)
(2,706)
0.17 2,706
98 📈
(Org: 106)
(2,671)
0.03 2,671
99 📈
(Org: 105)
(2,634)
- 2,634
100 📈
(Org: 107)
(2,604)
0.02 2,604