Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2003 - 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)
(29,853)
0.01 29,853
2 ➡️
(Org: 2)
(28,141)
0.04 28,141
3 ➡️
(Org: 3)
(25,230)
0.01 25,230
4 ➡️
(Org: 4)
(25,145)
0.05 25,145
5 📈
(Org: 12)
(24,503)
0.2 24,503
6 📈
(Org: 9)
(22,504)
0.08 22,504
7 📉
(Org: 5)
(22,162)
- 22,162
8 📉
(Org: 6)
(21,529)
0.01 21,529
9 📉
(Org: 7)
(21,474)
0.01 21,474
10 📉
(Org: 8)
(21,225)
0.01 21,225
11 📈
(Org: 26)
(20,793)
0.34 20,793
12 📉
(Org: 10)
(20,149)
- 20,149
13 📉
(Org: 11)
(20,015)
0 20,015
14 📉
(Org: 13)
(19,672)
0 19,672
15 📉
(Org: 14)
(18,640)
- 18,640
16 📉
(Org: 15)
(18,512)
0.02 18,512
17 📈
(Org: 22)
(18,409)
0.19 18,409
18 📉
(Org: 17)
(17,985)
0.04 17,985
19 📈
(Org: 20)
(17,960)
0.13 17,960
20 📉
(Org: 19)
(17,909)
0.12 17,909
21 📉
(Org: 16)
(17,750)
0 17,750
22 📉
(Org: 18)
(16,940)
0 16,940
23 📉
(Org: 21)
(16,034)
0.05 16,034
24 📈
(Org: 59)
(15,262)
0.5 15,262
25 📈
(Org: 34)
(15,083)
0.23 15,083
26 📉
(Org: 23)
(14,801)
0.01 14,801
27 📉
(Org: 24)
(14,199)
0.01 14,199
28 📉
(Org: 25)
(13,908)
- 13,908
29 📉
(Org: 27)
(13,903)
0.02 13,903
30 📈
(Org: 43)
(13,472)
0.28 13,472
31 📉
(Org: 28)
(13,241)
0 13,241
32 📉
(Org: 29)
(12,685)
0.01 12,685
33 📈
(Org: 75)
(12,640)
0.56 12,640
34 📈
(Org: 56)
(12,506)
0.38 12,506
35 📉
(Org: 30)
(12,394)
- 12,394
36 📉
(Org: 32)
(12,035)
0.03 12,035
37 📉
(Org: 31)
(11,888)
0 11,888
38 📉
(Org: 33)
(11,871)
0.02 11,871
39 📉
(Org: 36)
(11,483)
0.05 11,483
40 📉
(Org: 35)
(11,405)
0 11,405
41 📉
(Org: 40)
(11,094)
0.1 11,094
42 📉
(Org: 38)
(11,038)
0.06 11,038
43 📉
(Org: 42)
(10,937)
0.1 10,937
44 📉
(Org: 37)
(10,821)
0.01 10,821
45 📈
(Org: 61)
(10,424)
0.32 10,424
46 📈
(Org: 52)
(10,306)
0.15 10,306
47 📉
(Org: 39)
(10,067)
- 10,067
48 ➡️
(Org: 48)
(10,019)
0.11 10,019
49 📉
(Org: 41)
(9,909)
0 9,909
50 📉
(Org: 49)
(9,737)
0.09 9,737
51 📉
(Org: 45)
(9,608)
0.03 9,608
52 📉
(Org: 44)
(9,472)
0 9,472
53 📉
(Org: 46)
(9,457)
0.02 9,457
54 📉
(Org: 50)
(9,311)
0.05 9,311
55 📉
(Org: 47)
(9,174)
0 9,174
56 📈
(Org: 70)
(9,016)
0.35 9,016
57 📈
(Org: 113)
(8,832)
0.59 8,832
58 📉
(Org: 51)
(8,807)
0 8,807
59 📉
(Org: 53)
(8,687)
0 8,687
60 📈
(Org: 88)
(8,142)
0.4 8,142
61 📉
(Org: 54)
(8,108)
0.03 8,108
62 📉
(Org: 60)
(7,909)
0.04 7,909
63 📉
(Org: 55)
(7,831)
- 7,831
64 📈
(Org: 110)
(7,778)
0.53 7,778
65 📉
(Org: 58)
(7,708)
0 7,708
66 📉
(Org: 57)
(7,695)
- 7,695
67 📈
(Org: 73)
(7,568)
0.25 7,568
68 📈
(Org: 81)
(7,362)
0.29 7,362
69 📉
(Org: 65)
(6,995)
0.08 6,995
70 📉
(Org: 62)
(6,816)
0 6,816
71 ➡️
(Org: 71)
(6,782)
0.15 6,782
72 📉
(Org: 69)
(6,350)
0.07 6,350
73 📈
(Org: 78)
(6,309)
0.14 6,309
74 📉
(Org: 66)
(6,218)
- 6,218
75 📉
(Org: 67)
(6,162)
- 6,162
76 📉
(Org: 68)
(6,110)
- 6,110
77 📉
(Org: 74)
(5,992)
0.06 5,992
78 📉
(Org: 72)
(5,706)
0 5,706
79 📈
(Org: 84)
(5,661)
0.1 5,661
80 📈
(Org: 97)
(5,546)
0.2 5,546
81 📉
(Org: 77)
(5,522)
0.02 5,522
82 📉
(Org: 76)
(5,486)
- 5,486
83 📈
(Org: 94)
(5,411)
0.15 5,411
84 📉
(Org: 79)
(5,314)
0.01 5,314
85 📉
(Org: 80)
(5,261)
0 5,261
86 📈
(Org: 89)
(5,229)
0.07 5,229
87 ➡️
(Org: 87)
(5,208)
0.04 5,208
88 📉
(Org: 83)
(5,135)
0 5,135
89 📉
(Org: 85)
(5,071)
0 5,071
90 📉
(Org: 86)
(5,054)
- 5,054
91 📈
(Org: 105)
(4,978)
0.19 4,978
92 📉
(Org: 90)
(4,855)
- 4,855
93 📉
(Org: 91)
(4,805)
0 4,805
94 📉
(Org: 92)
(4,751)
0.01 4,751
95 📈
(Org: 149)
(4,691)
0.41 4,691
96 📉
(Org: 93)
(4,689)
0.01 4,689
97 📉
(Org: 95)
(4,620)
0.01 4,620
98 📈
(Org: 106)
(4,603)
0.14 4,603
99 ➡️
(Org: 99)
(4,580)
0.04 4,580
100 📈
(Org: 103)
(4,472)
0.08 4,472