Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1998 - 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)
(37,925)
0.03 37,925
2 ➡️
(Org: 2)
(36,151)
0 36,151
3 ➡️
(Org: 3)
(32,622)
0.05 32,622
4 📈
(Org: 6)
(31,805)
0.16 31,805
5 ➡️
(Org: 5)
(28,920)
0.07 28,920
6 📉
(Org: 4)
(28,256)
0.01 28,256
7 ➡️
(Org: 7)
(24,953)
0.05 24,953
8 ➡️
(Org: 8)
(24,304)
0.02 24,304
9 📈
(Org: 16)
(23,991)
0.14 23,991
10 ➡️
(Org: 10)
(23,875)
0.02 23,875
11 📉
(Org: 9)
(23,662)
- 23,662
12 📉
(Org: 11)
(23,353)
0.01 23,353
13 📉
(Org: 12)
(23,343)
0.01 23,343
14 📈
(Org: 21)
(22,106)
0.2 22,106
15 ➡️
(Org: 15)
(21,501)
0.04 21,501
16 📉
(Org: 13)
(20,898)
0 20,898
17 📉
(Org: 14)
(20,852)
0 20,852
18 📉
(Org: 17)
(20,281)
0 20,281
19 📉
(Org: 18)
(19,730)
0 19,730
20 📉
(Org: 19)
(19,634)
- 19,634
21 📈
(Org: 34)
(18,480)
0.37 18,480
22 📉
(Org: 20)
(18,384)
0.02 18,384
23 📈
(Org: 25)
(17,577)
0.17 17,577
24 📉
(Org: 22)
(17,499)
0 17,499
25 📉
(Org: 23)
(15,527)
- 15,527
26 📉
(Org: 24)
(15,322)
0 15,322
27 ➡️
(Org: 27)
(15,292)
0.06 15,292
28 📈
(Org: 41)
(14,888)
0.39 14,888
29 📉
(Org: 26)
(14,522)
- 14,522
30 📈
(Org: 39)
(14,292)
0.3 14,292
31 📉
(Org: 28)
(14,058)
0.01 14,058
32 📉
(Org: 29)
(13,444)
0 13,444
33 📉
(Org: 31)
(13,403)
0.04 13,403
34 📉
(Org: 30)
(13,185)
0.01 13,185
35 📈
(Org: 46)
(13,128)
0.38 13,128
36 📉
(Org: 32)
(12,754)
0.02 12,754
37 📉
(Org: 35)
(12,499)
0.09 12,499
38 📉
(Org: 33)
(12,375)
- 12,375
39 📈
(Org: 50)
(11,727)
0.34 11,727
40 📈
(Org: 42)
(11,247)
0.2 11,247
41 📉
(Org: 36)
(11,088)
0 11,088
42 📉
(Org: 37)
(11,059)
0.05 11,059
43 📈
(Org: 47)
(10,799)
0.27 10,799
44 📉
(Org: 38)
(10,589)
0.01 10,589
45 📉
(Org: 40)
(10,283)
0.09 10,283
46 📉
(Org: 43)
(10,103)
0.13 10,103
47 📉
(Org: 44)
(8,663)
0 8,663
48 📉
(Org: 45)
(8,380)
0 8,380
49 📈
(Org: 51)
(8,030)
0.07 8,030
50 📉
(Org: 49)
(7,856)
0 7,856
51 📉
(Org: 48)
(7,848)
- 7,848
52 📈
(Org: 53)
(7,555)
0.05 7,555
53 📉
(Org: 52)
(7,361)
- 7,361
54 📈
(Org: 59)
(7,313)
0.11 7,313
55 📈
(Org: 64)
(7,200)
0.18 7,200
56 📉
(Org: 54)
(7,155)
0.01 7,155
57 📉
(Org: 55)
(6,983)
0 6,983
58 📉
(Org: 55)
(6,961)
0 6,961
59 📉
(Org: 58)
(6,857)
0.04 6,857
60 📉
(Org: 57)
(6,793)
0.01 6,793
61 📈
(Org: 65)
(6,567)
0.11 6,567
62 ➡️
(Org: 62)
(6,535)
0.05 6,535
63 📉
(Org: 61)
(6,520)
0.02 6,520
64 📈
(Org: 70)
(6,283)
0.13 6,283
65 📈
(Org: 122)
(6,275)
0.51 6,275
66 📉
(Org: 63)
(6,101)
0 6,101
67 📈
(Org: 115)
(6,016)
0.47 6,016
68 📈
(Org: 110)
(5,841)
0.42 5,841
69 📉
(Org: 67)
(5,793)
0.04 5,793
70 📉
(Org: 66)
(5,767)
0.02 5,767
71 📉
(Org: 68)
(5,734)
0.03 5,734
72 📈
(Org: 91)
(5,661)
0.26 5,661
73 📉
(Org: 72)
(5,634)
0.04 5,634
74 📉
(Org: 73)
(5,627)
0.05 5,627
75 📈
(Org: 80)
(5,571)
0.14 5,571
76 📉
(Org: 69)
(5,480)
- 5,480
77 ➡️
(Org: 77)
(5,451)
0.06 5,451
78 📉
(Org: 71)
(5,429)
- 5,429
79 📉
(Org: 75)
(5,386)
0.02 5,386
80 📉
(Org: 76)
(5,218)
- 5,218
81 📉
(Org: 79)
(4,963)
0 4,963
82 📈
(Org: 93)
(4,789)
0.15 4,789
83 📉
(Org: 81)
(4,781)
0 4,781
84 📉
(Org: 83)
(4,739)
0.02 4,739
85 📉
(Org: 84)
(4,713)
0.02 4,713
86 📉
(Org: 82)
(4,704)
- 4,704
87 📈
(Org: 88)
(4,693)
0.03 4,693
88 📉
(Org: 85)
(4,622)
0 4,622
89 📉
(Org: 87)
(4,595)
0 4,595
90 📉
(Org: 86)
(4,587)
- 4,587
91 📈
(Org: 94)
(4,450)
0.09 4,450
92 📈
(Org: 106)
(4,436)
0.19 4,436
93 📈
(Org: 120)
(4,366)
0.29 4,366
94 📉
(Org: 92)
(4,339)
0.04 4,339
95 📉
(Org: 89)
(4,321)
- 4,321
96 📉
(Org: 90)
(4,290)
0.01 4,290
97 📈
(Org: 100)
(4,213)
0.08 4,213
98 📈
(Org: 101)
(4,082)
0.07 4,082
99 📉
(Org: 95)
(4,060)
0 4,060
100 📉
(Org: 96)
(4,015)
- 4,015