Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1955 - 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)
(93,079)
0.05 93,079
2 ➡️
(Org: 2)
(86,318)
0 86,318
3 ➡️
(Org: 3)
(84,184)
- 84,184
4 ➡️
(Org: 4)
(83,768)
0 83,768
5 ➡️
(Org: 5)
(83,195)
0.04 83,195
6 ➡️
(Org: 6)
(60,023)
0 60,023
7 📈
(Org: 10)
(60,002)
0.37 60,002
8 📉
(Org: 7)
(53,578)
0 53,578
9 📉
(Org: 8)
(46,049)
0 46,049
10 📉
(Org: 9)
(44,875)
0.06 44,875
11 ➡️
(Org: 11)
(35,373)
0 35,373
12 ➡️
(Org: 12)
(34,511)
0 34,511
13 ➡️
(Org: 13)
(31,931)
0.01 31,931
14 📈
(Org: 20)
(29,353)
0.23 29,353
15 📉
(Org: 14)
(27,727)
- 27,727
16 📉
(Org: 15)
(26,769)
0 26,769
17 ➡️
(Org: 17)
(26,718)
0.01 26,718
17 📉
(Org: 16)
(26,718)
0 26,718
19 📉
(Org: 18)
(26,224)
0 26,224
20 📉
(Org: 19)
(22,885)
0 22,885
21 📈
(Org: 23)
(20,931)
0.02 20,931
22 ➡️
(Org: 22)
(20,761)
0 20,761
23 📈
(Org: 24)
(19,882)
0 19,882
24 📈
(Org: 25)
(19,287)
0 19,287
25 📈
(Org: 26)
(18,180)
0 18,180
26 📈
(Org: 27)
(17,242)
0 17,242
27 📈
(Org: 28)
(15,637)
0 15,637
28 📈
(Org: 29)
(15,408)
0.01 15,408
29 📈
(Org: 30)
(15,062)
0.01 15,062
30 📈
(Org: 31)
(14,182)
0 14,182
31 📈
(Org: 32)
(14,083)
- 14,083
32 📈
(Org: 33)
(13,388)
0.03 13,388
33 📈
(Org: 46)
(12,411)
0.33 12,411
34 📈
(Org: 40)
(11,821)
0.15 11,821
35 📈
(Org: 62)
(11,606)
0.47 11,606
36 📈
(Org: 37)
(11,547)
0.05 11,547
37 📉
(Org: 34)
(11,114)
0 11,114
38 ➡️
(Org: 38)
(11,052)
0.02 11,052
39 📉
(Org: 35)
(11,008)
0 11,008
40 📉
(Org: 36)
(11,000)
0 11,000
41 📉
(Org: 39)
(10,459)
0 10,459
42 📈
(Org: 47)
(10,285)
0.19 10,285
43 📉
(Org: 42)
(10,065)
0.09 10,065
44 📉
(Org: 41)
(9,915)
0 9,915
45 📉
(Org: 43)
(9,033)
- 9,033
46 📉
(Org: 45)
(8,994)
0.03 8,994
47 📉
(Org: 44)
(8,749)
0 8,749
48 📈
(Org: 59)
(8,748)
0.28 8,748
49 📉
(Org: 48)
(8,629)
0.06 8,629
50 📉
(Org: 49)
(8,000)
0.01 8,000
51 📈
(Org: 53)
(7,822)
0.14 7,822
52 📉
(Org: 50)
(7,539)
0.01 7,539
53 📉
(Org: 51)
(7,299)
- 7,299
54 📈
(Org: 80)
(7,272)
0.32 7,272
55 📉
(Org: 52)
(7,211)
0 7,211
56 📈
(Org: 57)
(6,724)
0.03 6,724
57 📉
(Org: 55)
(6,708)
0.01 6,708
58 📉
(Org: 54)
(6,674)
0.01 6,674
59 📉
(Org: 56)
(6,615)
0.01 6,615
60 📈
(Org: 78)
(6,450)
0.22 6,450
61 📉
(Org: 58)
(6,362)
0.01 6,362
62 📉
(Org: 60)
(6,250)
0.01 6,250
63 📉
(Org: 61)
(6,202)
0 6,202
64 📉
(Org: 63)
(6,104)
0 6,104
65 📉
(Org: 64)
(6,076)
0 6,076
66 📉
(Org: 65)
(6,058)
0 6,058
67 📉
(Org: 66)
(6,013)
- 6,013
68 📉
(Org: 67)
(5,971)
0 5,971
69 ➡️
(Org: 69)
(5,968)
0.03 5,968
70 📈
(Org: 86)
(5,931)
0.23 5,931
71 📉
(Org: 68)
(5,886)
0.01 5,886
72 📉
(Org: 70)
(5,623)
0 5,623
73 📉
(Org: 71)
(5,585)
0.01 5,585
74 📉
(Org: 72)
(5,510)
- 5,510
75 ➡️
(Org: 75)
(5,393)
0.03 5,393
76 📈
(Org: 79)
(5,215)
0.05 5,215
77 📉
(Org: 76)
(5,180)
- 5,180
78 📈
(Org: 82)
(5,126)
0.07 5,126
79 📉
(Org: 77)
(5,082)
0 5,082
80 📈
(Org: 85)
(4,951)
0.06 4,951
81 ➡️
(Org: 81)
(4,805)
0 4,805
82 📈
(Org: 83)
(4,747)
- 4,747
83 📈
(Org: 84)
(4,742)
- 4,742
84 📈
(Org: 90)
(4,670)
0.15 4,670
85 📈
(Org: 91)
(4,601)
0.15 4,601
86 📈
(Org: 88)
(4,437)
0.04 4,437
87 📈
(Org: 89)
(4,146)
0 4,146
88 📈
(Org: 92)
(4,012)
0.06 4,012
89 📈
(Org: 93)
(3,918)
0.04 3,918
90 📈
(Org: 122)
(3,768)
0.26 3,768
91 📈
(Org: 96)
(3,732)
0.03 3,732
92 📈
(Org: 95)
(3,679)
0.01 3,679
93 📈
(Org: 94)
(3,660)
- 3,660
94 📈
(Org: 97)
(3,501)
- 3,501
95 📈
(Org: 100)
(3,494)
0.02 3,494
96 📈
(Org: 98)
(3,490)
- 3,490
96 📈
(Org: 99)
(3,490)
0 3,490
98 📈
(Org: 105)
(3,454)
0.05 3,454
99 📈
(Org: 101)
(3,435)
- 3,435
100 📈
(Org: 102)
(3,416)
0 3,416