Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1980 - 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)
(71,022)
0.03 71,022
2 ➡️
(Org: 2)
(52,066)
0.06 52,066
3 ➡️
(Org: 3)
(48,969)
0.02 48,969
4 ➡️
(Org: 4)
(41,922)
0 41,922
5 ➡️
(Org: 5)
(39,335)
0 39,335
6 ➡️
(Org: 6)
(39,198)
0.03 39,198
7 📈
(Org: 8)
(37,494)
0.06 37,494
8 📈
(Org: 12)
(36,680)
0.22 36,680
9 📉
(Org: 7)
(36,260)
0.01 36,260
10 📉
(Org: 9)
(34,277)
0 34,277
11 📉
(Org: 10)
(30,523)
0.01 30,523
12 📉
(Org: 11)
(30,238)
0.01 30,238
13 📈
(Org: 16)
(28,498)
0.21 28,498
14 📉
(Org: 13)
(26,967)
0.01 26,967
15 📈
(Org: 28)
(25,992)
0.39 25,992
16 📉
(Org: 14)
(25,704)
0 25,704
17 📉
(Org: 15)
(24,828)
0 24,828
18 📉
(Org: 17)
(22,720)
0.07 22,720
19 📈
(Org: 21)
(21,903)
0.13 21,903
20 📈
(Org: 27)
(21,291)
0.23 21,291
21 📉
(Org: 18)
(20,522)
0.03 20,522
22 📉
(Org: 19)
(19,746)
0 19,746
23 📈
(Org: 47)
(19,344)
0.6 19,344
24 📉
(Org: 20)
(19,172)
0 19,172
25 📉
(Org: 22)
(18,892)
0 18,892
26 📉
(Org: 23)
(18,075)
0.01 18,075
27 📉
(Org: 25)
(17,940)
0.02 17,940
28 📉
(Org: 24)
(17,608)
- 17,608
29 📉
(Org: 26)
(16,687)
0 16,687
30 ➡️
(Org: 30)
(16,486)
0.14 16,486
31 📉
(Org: 29)
(14,958)
- 14,958
32 📈
(Org: 36)
(14,871)
0.25 14,871
33 📉
(Org: 31)
(14,593)
0.03 14,593
34 📉
(Org: 32)
(13,805)
0.01 13,805
35 📉
(Org: 34)
(13,646)
0.03 13,646
36 📉
(Org: 33)
(13,436)
0.01 13,436
37 📈
(Org: 50)
(12,404)
0.42 12,404
38 📉
(Org: 35)
(11,827)
0 11,827
39 📉
(Org: 37)
(10,792)
0 10,792
40 📉
(Org: 38)
(10,388)
0 10,388
41 📉
(Org: 39)
(10,234)
0.01 10,234
42 📈
(Org: 45)
(9,631)
0.13 9,631
43 📉
(Org: 41)
(9,624)
0 9,624
44 📉
(Org: 42)
(9,372)
0.01 9,372
45 📈
(Org: 68)
(8,825)
0.5 8,825
46 📉
(Org: 43)
(8,522)
- 8,522
47 📉
(Org: 44)
(8,469)
0.01 8,469
48 📉
(Org: 46)
(8,333)
0 8,333
49 📈
(Org: 65)
(8,306)
0.44 8,306
50 📈
(Org: 51)
(7,456)
0.03 7,456
51 📈
(Org: 52)
(6,763)
- 6,763
52 📈
(Org: 53)
(6,268)
- 6,268
53 📈
(Org: 54)
(6,093)
0.01 6,093
54 📈
(Org: 55)
(5,981)
0 5,981
55 📈
(Org: 56)
(5,930)
0.01 5,930
56 📈
(Org: 57)
(5,788)
0 5,788
57 📈
(Org: 58)
(5,757)
- 5,757
58 📈
(Org: 61)
(5,523)
0.06 5,523
59 ➡️
(Org: 59)
(5,433)
- 5,433
60 ➡️
(Org: 60)
(5,376)
0.01 5,376
61 📈
(Org: 62)
(5,261)
0.02 5,261
62 📈
(Org: 63)
(5,061)
0 5,061
63 📈
(Org: 72)
(4,696)
0.1 4,696
64 📈
(Org: 66)
(4,577)
- 4,577
65 📈
(Org: 67)
(4,570)
0 4,570
66 📈
(Org: 69)
(4,562)
0.04 4,562
67 📈
(Org: 73)
(4,336)
0.02 4,336
68 📈
(Org: 70)
(4,278)
0 4,278
69 📈
(Org: 71)
(4,262)
- 4,262
70 📈
(Org: 75)
(4,128)
- 4,128
71 📈
(Org: 78)
(4,110)
0.01 4,110
72 📈
(Org: 76)
(4,093)
- 4,093
73 📈
(Org: 77)
(4,085)
- 4,085
74 📈
(Org: 103)
(4,026)
0.27 4,026
75 📈
(Org: 88)
(4,004)
0.16 4,004
76 📈
(Org: 80)
(3,942)
0.03 3,942
77 📈
(Org: 89)
(3,766)
0.12 3,766
78 📈
(Org: 81)
(3,735)
- 3,735
79 📈
(Org: 84)
(3,559)
0.01 3,559
80 📈
(Org: 93)
(3,550)
0.09 3,550
81 📈
(Org: 96)
(3,538)
0.12 3,538
82 📈
(Org: 85)
(3,516)
0.01 3,516
83 📈
(Org: 87)
(3,436)
0.01 3,436
84 📈
(Org: 92)
(3,402)
0.04 3,402
85 📈
(Org: 95)
(3,310)
0.04 3,310
86 📈
(Org: 98)
(3,298)
0.07 3,298
87 📈
(Org: 94)
(3,295)
0.03 3,295
88 📈
(Org: 91)
(3,293)
0 3,293
89 📈
(Org: 105)
(3,189)
0.11 3,189
90 📈
(Org: 97)
(3,128)
0.01 3,128
91 📈
(Org: 100)
(3,115)
0.04 3,115
92 📈
(Org: 99)
(3,050)
- 3,050
93 📈
(Org: 101)
(3,003)
0.01 3,003
94 📈
(Org: 122)
(2,991)
0.25 2,991
95 📈
(Org: 102)
(2,975)
0.01 2,975
96 📈
(Org: 104)
(2,967)
0.02 2,967
97 📈
(Org: 106)
(2,832)
- 2,832
98 📈
(Org: 107)
(2,823)
- 2,823
99 📈
(Org: 109)
(2,818)
0.03 2,818
100 📈
(Org: 108)
(2,811)
0.03 2,811