Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1983 - 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)
(70,143)
0.03 70,143
2 ➡️
(Org: 2)
(62,528)
0.05 62,528
3 ➡️
(Org: 3)
(52,158)
0.04 52,158
4 ➡️
(Org: 4)
(39,232)
0 39,232
5 ➡️
(Org: 5)
(36,929)
0.01 36,929
6 ➡️
(Org: 6)
(36,353)
0 36,353
7 ➡️
(Org: 7)
(35,769)
0.02 35,769
8 ➡️
(Org: 8)
(35,058)
0.01 35,058
9 ➡️
(Org: 9)
(35,019)
0.05 35,019
10 📈
(Org: 14)
(34,665)
0.25 34,665
11 📉
(Org: 10)
(32,753)
0 32,753
12 📉
(Org: 11)
(30,741)
0.01 30,741
13 📈
(Org: 23)
(29,881)
0.39 29,881
14 📉
(Org: 12)
(28,602)
0.01 28,602
15 📉
(Org: 13)
(27,905)
0 27,905
16 📈
(Org: 19)
(26,514)
0.14 26,514
17 📉
(Org: 15)
(25,570)
0 25,570
18 📉
(Org: 16)
(25,477)
0 25,477
19 📈
(Org: 20)
(24,893)
0.18 24,893
20 📉
(Org: 17)
(24,211)
0.03 24,211
21 📉
(Org: 18)
(23,515)
0 23,515
22 📉
(Org: 21)
(21,672)
0.08 21,672
23 📈
(Org: 28)
(20,456)
0.23 20,456
24 📉
(Org: 22)
(19,839)
0 19,839
25 📈
(Org: 44)
(18,541)
0.48 18,541
26 📉
(Org: 24)
(17,874)
0.02 17,874
27 📉
(Org: 25)
(17,480)
0.01 17,480
28 📉
(Org: 26)
(16,374)
0 16,374
29 📉
(Org: 27)
(15,948)
0 15,948
30 📈
(Org: 31)
(15,914)
0.13 15,914
31 📉
(Org: 29)
(14,964)
0.03 14,964
32 📉
(Org: 30)
(14,650)
0.03 14,650
33 📈
(Org: 40)
(14,416)
0.27 14,416
34 📉
(Org: 32)
(13,468)
0.01 13,468
35 📉
(Org: 33)
(13,222)
0 13,222
36 📉
(Org: 34)
(12,372)
- 12,372
37 📈
(Org: 51)
(11,549)
0.39 11,549
38 📉
(Org: 36)
(11,008)
0 11,008
39 📉
(Org: 38)
(10,955)
0.01 10,955
40 📉
(Org: 37)
(10,900)
0 10,900
41 📉
(Org: 39)
(10,826)
- 10,826
42 📉
(Org: 41)
(10,497)
0 10,497
43 📉
(Org: 42)
(10,113)
0.01 10,113
44 📈
(Org: 46)
(9,767)
0.13 9,767
45 📉
(Org: 43)
(9,728)
0.01 9,728
46 📉
(Org: 45)
(8,978)
0 8,978
47 📈
(Org: 74)
(8,088)
0.51 8,088
48 ➡️
(Org: 48)
(8,081)
0 8,081
49 📈
(Org: 50)
(8,055)
0.09 8,055
50 📈
(Org: 66)
(8,053)
0.44 8,053
51 📉
(Org: 49)
(7,466)
0.01 7,466
52 ➡️
(Org: 52)
(6,977)
0.03 6,977
53 📈
(Org: 54)
(6,279)
0.01 6,279
54 📈
(Org: 56)
(6,219)
0.06 6,219
55 ➡️
(Org: 55)
(6,010)
0 6,010
56 📈
(Org: 57)
(5,883)
0.01 5,883
57 📈
(Org: 58)
(5,638)
- 5,638
58 📈
(Org: 59)
(5,499)
0 5,499
59 📈
(Org: 61)
(5,346)
0.01 5,346
60 ➡️
(Org: 60)
(5,327)
- 5,327
61 📈
(Org: 62)
(4,894)
- 4,894
62 📈
(Org: 63)
(4,821)
0 4,821
63 📈
(Org: 64)
(4,702)
- 4,702
64 📈
(Org: 65)
(4,542)
0.01 4,542
65 📈
(Org: 73)
(4,479)
0.11 4,479
66 📈
(Org: 67)
(4,351)
0 4,351
67 📈
(Org: 68)
(4,283)
0 4,283
68 📈
(Org: 71)
(4,245)
0.05 4,245
69 ➡️
(Org: 69)
(4,241)
0.01 4,241
70 ➡️
(Org: 70)
(4,203)
0.03 4,203
71 ➡️
(Org: 71)
(4,024)
0 4,024
72 📈
(Org: 88)
(3,916)
0.15 3,916
73 📈
(Org: 75)
(3,912)
- 3,912
74 📈
(Org: 77)
(3,745)
0.02 3,745
75 📈
(Org: 81)
(3,734)
0.06 3,734
76 ➡️
(Org: 76)
(3,702)
0 3,702
77 📈
(Org: 90)
(3,563)
0.09 3,563
78 📈
(Org: 106)
(3,555)
0.27 3,555
79 📈
(Org: 83)
(3,542)
0.04 3,542
80 📈
(Org: 85)
(3,387)
0 3,387
81 📈
(Org: 86)
(3,362)
- 3,362
82 📈
(Org: 87)
(3,337)
- 3,337
83 📈
(Org: 89)
(3,307)
0.01 3,307
84 📈
(Org: 100)
(3,275)
0.13 3,275
85 📈
(Org: 92)
(3,146)
0.03 3,146
86 📈
(Org: 93)
(3,046)
- 3,046
87 📈
(Org: 94)
(3,042)
0 3,042
88 📈
(Org: 95)
(2,970)
- 2,970
89 📈
(Org: 96)
(2,961)
0.01 2,961
90 📈
(Org: 97)
(2,946)
0.02 2,946
91 📈
(Org: 101)
(2,914)
0.04 2,914
92 📈
(Org: 98)
(2,857)
- 2,857
93 📈
(Org: 99)
(2,849)
- 2,849
94 📈
(Org: 103)
(2,837)
0.03 2,837
95 📈
(Org: 104)
(2,832)
0.03 2,832
96 📈
(Org: 102)
(2,770)
- 2,770
97 📈
(Org: 128)
(2,743)
0.24 2,743
98 📈
(Org: 105)
(2,675)
0.01 2,675
99 📈
(Org: 107)
(2,550)
- 2,550
100 📈
(Org: 117)
(2,539)
0.07 2,539