Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1994 - 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)
(45,988)
0.03 45,988
2 ➡️
(Org: 2)
(37,106)
0.06 37,106
3 ➡️
(Org: 3)
(35,319)
0.05 35,319
4 ➡️
(Org: 4)
(31,565)
0.01 31,565
5 📈
(Org: 9)
(31,376)
0.12 31,376
6 📉
(Org: 5)
(31,185)
0.02 31,185
7 📉
(Org: 6)
(30,778)
0.04 30,778
8 📉
(Org: 7)
(29,497)
0 29,497
9 📈
(Org: 12)
(29,001)
0.13 29,001
10 📉
(Org: 8)
(28,255)
0.01 28,255
11 📉
(Org: 10)
(26,020)
0 26,020
12 📉
(Org: 11)
(25,881)
0.01 25,881
13 📈
(Org: 15)
(25,266)
0.04 25,266
14 📉
(Org: 13)
(24,881)
0 24,881
15 📉
(Org: 14)
(24,843)
0 24,843
16 ➡️
(Org: 16)
(24,141)
0 24,141
17 📈
(Org: 23)
(24,003)
0.21 24,003
18 📉
(Org: 17)
(23,595)
0.02 23,595
19 📉
(Org: 18)
(21,602)
- 21,602
20 📉
(Org: 19)
(21,523)
0 21,523
21 📉
(Org: 20)
(21,316)
0.02 21,316
22 📉
(Org: 21)
(20,564)
0 20,564
23 📉
(Org: 22)
(20,141)
0 20,141
24 📈
(Org: 34)
(19,575)
0.38 19,575
25 ➡️
(Org: 25)
(19,570)
0.1 19,570
26 📈
(Org: 30)
(18,802)
0.29 18,802
27 📉
(Org: 24)
(18,436)
0 18,436
28 📈
(Org: 37)
(17,588)
0.34 17,588
29 📉
(Org: 26)
(17,562)
0.01 17,562
30 📈
(Org: 32)
(16,232)
0.23 16,232
31 📈
(Org: 40)
(15,754)
0.34 15,754
32 📉
(Org: 27)
(15,398)
0.03 15,398
33 📉
(Org: 29)
(14,937)
0.05 14,937
34 📉
(Org: 28)
(14,935)
0.04 14,935
35 📈
(Org: 44)
(13,956)
0.37 13,956
36 📉
(Org: 31)
(12,923)
0.01 12,923
37 📉
(Org: 33)
(12,237)
0.01 12,237
38 📉
(Org: 35)
(11,987)
- 11,987
39 📉
(Org: 36)
(11,729)
- 11,729
40 📉
(Org: 38)
(11,059)
0 11,059
41 📉
(Org: 39)
(10,781)
0 10,781
42 📈
(Org: 45)
(10,000)
0.13 10,000
43 📈
(Org: 73)
(9,772)
0.46 9,772
44 📉
(Org: 41)
(9,516)
- 9,516
45 📉
(Org: 42)
(9,439)
0.01 9,439
46 ➡️
(Org: 46)
(9,047)
0.05 9,047
47 📉
(Org: 43)
(9,018)
- 9,018
48 ➡️
(Org: 48)
(8,861)
0.16 8,861
49 📈
(Org: 55)
(8,749)
0.25 8,749
50 📈
(Org: 59)
(8,647)
0.27 8,647
51 📈
(Org: 77)
(8,520)
0.4 8,520
52 📉
(Org: 47)
(8,475)
0.03 8,475
53 📈
(Org: 60)
(7,490)
0.18 7,490
54 📉
(Org: 52)
(7,402)
0.08 7,402
55 📉
(Org: 50)
(7,273)
0 7,273
56 📉
(Org: 51)
(7,207)
- 7,207
57 📉
(Org: 54)
(6,830)
0.03 6,830
58 📉
(Org: 53)
(6,806)
0 6,806
59 📉
(Org: 57)
(6,793)
0.06 6,793
60 📉
(Org: 58)
(6,640)
0.04 6,640
61 📉
(Org: 56)
(6,570)
0.02 6,570
62 📈
(Org: 63)
(6,393)
0.08 6,393
63 📉
(Org: 61)
(6,277)
0.03 6,277
64 📉
(Org: 62)
(5,895)
- 5,895
65 📉
(Org: 64)
(5,797)
- 5,797
66 📈
(Org: 71)
(5,796)
0.07 5,796
67 📈
(Org: 69)
(5,782)
0.04 5,782
68 📉
(Org: 65)
(5,692)
0 5,692
69 📉
(Org: 68)
(5,594)
0.01 5,594
70 📉
(Org: 67)
(5,585)
- 5,585
71 📉
(Org: 70)
(5,467)
0 5,467
72 📈
(Org: 74)
(5,436)
0.03 5,436
73 📈
(Org: 82)
(5,426)
0.12 5,426
74 📉
(Org: 72)
(5,328)
- 5,328
75 ➡️
(Org: 75)
(5,265)
0 5,265
76 📈
(Org: 124)
(5,264)
0.47 5,264
77 📉
(Org: 76)
(5,215)
0.02 5,215
78 📈
(Org: 80)
(4,969)
0.01 4,969
79 ➡️
(Org: 79)
(4,925)
0 4,925
80 📈
(Org: 83)
(4,919)
0.05 4,919
81 ➡️
(Org: 81)
(4,903)
0 4,903
82 📈
(Org: 131)
(4,683)
0.43 4,683
83 📈
(Org: 95)
(4,592)
0.13 4,592
84 ➡️
(Org: 84)
(4,520)
- 4,520
85 📈
(Org: 92)
(4,448)
0.08 4,448
86 📉
(Org: 85)
(4,447)
0.05 4,447
87 ➡️
(Org: 87)
(4,236)
0 4,236
88 ➡️
(Org: 88)
(4,201)
0.01 4,201
89 ➡️
(Org: 89)
(4,177)
0 4,177
90 📈
(Org: 91)
(4,137)
0.01 4,137
91 📉
(Org: 90)
(4,135)
- 4,135
92 📈
(Org: 94)
(4,083)
0.01 4,083
93 ➡️
(Org: 93)
(4,055)
- 4,055
94 📈
(Org: 98)
(3,940)
0.03 3,940
95 📈
(Org: 103)
(3,932)
0.11 3,932
96 ➡️
(Org: 96)
(3,923)
- 3,923
97 📈
(Org: 107)
(3,849)
0.11 3,849
98 📉
(Org: 97)
(3,814)
- 3,814
99 📈
(Org: 128)
(3,753)
0.26 3,753
100 ➡️
(Org: 100)
(3,658)
0.02 3,658