Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1953 - 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: 3)
(88,424)
0.05 88,424
2 📉
(Org: 1)
(86,260)
0 86,260
3 📉
(Org: 2)
(86,071)
- 86,071
4 ➡️
(Org: 4)
(82,919)
0.03 82,919
5 ➡️
(Org: 5)
(76,130)
0 76,130
6 ➡️
(Org: 6)
(61,874)
0 61,874
7 ➡️
(Org: 7)
(58,413)
0 58,413
8 📈
(Org: 11)
(55,543)
0.39 55,543
9 📉
(Org: 8)
(47,197)
0 47,197
10 📉
(Org: 9)
(38,427)
0 38,427
11 📉
(Org: 10)
(37,067)
0 37,067
12 ➡️
(Org: 12)
(31,322)
0.06 31,322
13 ➡️
(Org: 13)
(29,552)
0.01 29,552
14 ➡️
(Org: 14)
(28,360)
- 28,360
15 ➡️
(Org: 15)
(27,764)
0 27,764
16 📈
(Org: 17)
(25,527)
0 25,527
17 📉
(Org: 16)
(25,523)
0 25,523
18 ➡️
(Org: 18)
(25,269)
0 25,269
19 ➡️
(Org: 19)
(24,246)
0.02 24,246
20 ➡️
(Org: 20)
(23,717)
0.01 23,717
21 📈
(Org: 25)
(20,194)
0.21 20,194
22 ➡️
(Org: 22)
(19,201)
0 19,201
23 ➡️
(Org: 23)
(18,984)
- 18,984
24 ➡️
(Org: 24)
(16,224)
0 16,224
25 📈
(Org: 26)
(15,202)
0 15,202
26 📈
(Org: 27)
(14,255)
0.01 14,255
26 📈
(Org: 29)
(14,255)
0.02 14,255
28 ➡️
(Org: 28)
(14,048)
- 14,048
29 📈
(Org: 31)
(13,829)
0.05 13,829
30 ➡️
(Org: 30)
(13,290)
0 13,290
31 📈
(Org: 32)
(11,694)
- 11,694
32 📈
(Org: 61)
(11,436)
0.45 11,436
33 ➡️
(Org: 33)
(11,180)
- 11,180
34 ➡️
(Org: 34)
(11,119)
0 11,119
35 📈
(Org: 37)
(10,907)
0.1 10,907
36 📈
(Org: 51)
(10,786)
0.36 10,786
37 📉
(Org: 35)
(10,756)
0.01 10,756
38 📉
(Org: 36)
(10,058)
0 10,058
39 📉
(Org: 38)
(9,735)
0 9,735
40 📈
(Org: 44)
(9,531)
0.18 9,531
40 📉
(Org: 39)
(9,531)
0.01 9,531
42 ➡️
(Org: 42)
(9,186)
0.06 9,186
43 📉
(Org: 41)
(8,942)
0.04 8,942
44 📉
(Org: 40)
(8,905)
- 8,905
45 📉
(Org: 43)
(8,454)
- 8,454
46 📈
(Org: 67)
(8,116)
0.29 8,116
47 📈
(Org: 53)
(7,821)
0.15 7,821
48 📉
(Org: 46)
(7,610)
0.02 7,610
49 📉
(Org: 45)
(7,509)
- 7,509
50 📉
(Org: 47)
(7,402)
0 7,402
51 📉
(Org: 48)
(7,377)
0 7,377
52 📈
(Org: 79)
(7,284)
0.32 7,284
53 📉
(Org: 49)
(7,094)
0.01 7,094
54 📉
(Org: 50)
(7,067)
0.01 7,067
55 📈
(Org: 72)
(6,968)
0.24 6,968
56 📉
(Org: 52)
(6,804)
0.01 6,804
57 📈
(Org: 64)
(6,751)
0.12 6,751
58 📉
(Org: 55)
(6,718)
0.01 6,718
59 📉
(Org: 54)
(6,684)
0 6,684
60 📉
(Org: 56)
(6,590)
0 6,590
61 📉
(Org: 57)
(6,587)
0.01 6,587
62 📉
(Org: 58)
(6,546)
0 6,546
63 📉
(Org: 60)
(6,536)
0.01 6,536
64 📉
(Org: 59)
(6,513)
- 6,513
65 📈
(Org: 80)
(6,429)
0.24 6,429
66 📉
(Org: 62)
(6,311)
0.01 6,311
67 📉
(Org: 63)
(6,138)
0.01 6,138
68 📉
(Org: 65)
(6,085)
0.04 6,085
69 📉
(Org: 66)
(5,821)
0 5,821
70 📉
(Org: 68)
(5,625)
- 5,625
71 ➡️
(Org: 71)
(5,533)
0.03 5,533
72 📉
(Org: 70)
(5,481)
0.01 5,481
73 📉
(Org: 69)
(5,439)
- 5,439
74 ➡️
(Org: 74)
(5,372)
0.04 5,372
75 📈
(Org: 77)
(5,340)
0.07 5,340
76 📉
(Org: 73)
(5,212)
0.01 5,212
77 📉
(Org: 75)
(5,164)
0 5,164
78 ➡️
(Org: 78)
(4,985)
- 4,985
79 📈
(Org: 87)
(4,883)
0.16 4,883
80 📈
(Org: 81)
(4,856)
- 4,856
81 📈
(Org: 82)
(4,787)
0 4,787
82 📈
(Org: 85)
(4,590)
0.04 4,590
83 ➡️
(Org: 83)
(4,580)
- 4,580
84 📈
(Org: 86)
(4,552)
0.04 4,552
85 📉
(Org: 84)
(4,539)
- 4,539
86 📈
(Org: 89)
(4,186)
0.06 4,186
87 📈
(Org: 90)
(3,914)
0.01 3,914
88 📈
(Org: 114)
(3,907)
0.28 3,907
89 📈
(Org: 91)
(3,836)
0.01 3,836
90 📈
(Org: 103)
(3,799)
0.17 3,799
91 📈
(Org: 92)
(3,795)
0 3,795
92 📈
(Org: 93)
(3,693)
0.03 3,693
93 📈
(Org: 97)
(3,621)
0.06 3,621
94 ➡️
(Org: 94)
(3,564)
- 3,564
95 📈
(Org: 96)
(3,558)
0.03 3,558
96 📉
(Org: 95)
(3,475)
0 3,475
97 📈
(Org: 98)
(3,372)
- 3,372
98 📈
(Org: 99)
(3,244)
0 3,244
99 📈
(Org: 101)
(3,231)
0.02 3,231
100 ➡️
(Org: 100)
(3,190)
0.01 3,190