Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1949 - 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)
(86,859)
- 86,859
2 ➡️
(Org: 2)
(83,881)
0 83,881
3 ➡️
(Org: 3)
(83,102)
0.02 83,102
4 📈
(Org: 5)
(62,525)
0.04 62,525
5 📉
(Org: 4)
(61,533)
0 61,533
6 ➡️
(Org: 6)
(59,618)
0 59,618
7 ➡️
(Org: 7)
(50,954)
0 50,954
8 ➡️
(Org: 8)
(45,394)
0 45,394
9 📈
(Org: 19)
(40,416)
0.49 40,416
10 📉
(Org: 9)
(40,054)
0 40,054
11 📉
(Org: 10)
(31,894)
0 31,894
12 📉
(Org: 11)
(31,557)
0 31,557
13 📉
(Org: 12)
(28,997)
0 28,997
14 📉
(Org: 13)
(27,121)
- 27,121
15 📉
(Org: 14)
(26,605)
0.01 26,605
16 📉
(Org: 15)
(23,609)
0 23,609
17 📉
(Org: 16)
(22,140)
0.02 22,140
18 📉
(Org: 17)
(21,604)
0 21,604
19 📉
(Org: 18)
(21,344)
0 21,344
20 📈
(Org: 21)
(19,172)
- 19,172
21 📈
(Org: 22)
(18,415)
0.01 18,415
22 📈
(Org: 23)
(16,194)
0.02 16,194
23 📈
(Org: 24)
(15,122)
0.09 15,122
24 📈
(Org: 25)
(13,501)
0.05 13,501
25 📈
(Org: 26)
(12,265)
- 12,265
26 📈
(Org: 27)
(11,965)
0 11,965
27 📈
(Org: 28)
(11,472)
0 11,472
28 📈
(Org: 55)
(11,463)
0.46 11,463
29 ➡️
(Org: 29)
(11,459)
0.01 11,459
30 📈
(Org: 32)
(11,404)
0.1 11,404
31 📉
(Org: 30)
(11,313)
0 11,313
32 📉
(Org: 31)
(11,012)
0 11,012
33 ➡️
(Org: 33)
(10,412)
0.06 10,412
34 ➡️
(Org: 34)
(9,354)
0 9,354
35 📈
(Org: 43)
(9,049)
0.15 9,049
36 📉
(Org: 35)
(8,939)
0 8,939
37 📈
(Org: 48)
(8,883)
0.21 8,883
38 📈
(Org: 53)
(8,530)
0.25 8,530
39 📉
(Org: 36)
(8,451)
- 8,451
40 ➡️
(Org: 40)
(8,313)
0.03 8,313
41 📉
(Org: 37)
(8,296)
- 8,296
42 📉
(Org: 38)
(8,272)
0 8,272
43 📉
(Org: 39)
(8,116)
0.01 8,116
44 📉
(Org: 41)
(7,957)
0.01 7,957
45 📉
(Org: 42)
(7,830)
0 7,830
46 📈
(Org: 64)
(7,683)
0.32 7,683
47 📈
(Org: 61)
(7,617)
0.29 7,617
48 📉
(Org: 44)
(7,532)
0.01 7,532
49 📉
(Org: 45)
(7,255)
- 7,255
50 📉
(Org: 46)
(7,215)
0 7,215
51 📉
(Org: 47)
(7,165)
0.01 7,165
52 📉
(Org: 49)
(7,074)
0.01 7,074
53 📉
(Org: 50)
(6,748)
- 6,748
54 📉
(Org: 51)
(6,682)
0.01 6,682
55 📉
(Org: 52)
(6,572)
0.01 6,572
56 📉
(Org: 54)
(6,254)
0 6,254
57 ➡️
(Org: 57)
(6,111)
0.05 6,111
58 📉
(Org: 56)
(6,063)
- 6,063
59 📈
(Org: 70)
(5,998)
0.21 5,998
60 📈
(Org: 65)
(5,639)
0.07 5,639
61 📉
(Org: 58)
(5,610)
0 5,610
62 📉
(Org: 59)
(5,549)
0 5,549
63 📉
(Org: 60)
(5,539)
0 5,539
64 📉
(Org: 62)
(5,409)
0.01 5,409
65 📈
(Org: 67)
(5,339)
0.04 5,339
66 📉
(Org: 63)
(5,284)
- 5,284
67 📈
(Org: 76)
(5,233)
0.17 5,233
68 📈
(Org: 69)
(5,184)
0.03 5,184
69 📉
(Org: 68)
(5,027)
- 5,027
70 📈
(Org: 72)
(4,737)
0 4,737
71 ➡️
(Org: 71)
(4,735)
- 4,735
72 📈
(Org: 74)
(4,731)
0.04 4,731
73 ➡️
(Org: 73)
(4,639)
0.01 4,639
74 📈
(Org: 79)
(4,616)
0.1 4,616
75 📈
(Org: 86)
(4,591)
0.16 4,591
76 📉
(Org: 75)
(4,512)
- 4,512
77 ➡️
(Org: 77)
(4,373)
0.01 4,373
78 ➡️
(Org: 78)
(4,328)
0.01 4,328
79 📈
(Org: 80)
(4,293)
0.04 4,293
80 📈
(Org: 82)
(4,052)
0.02 4,052
81 ➡️
(Org: 81)
(4,013)
0 4,013
82 📈
(Org: 85)
(3,910)
0.01 3,910
83 ➡️
(Org: 83)
(3,908)
0 3,908
84 ➡️
(Org: 84)
(3,891)
0 3,891
85 📈
(Org: 87)
(3,826)
- 3,826
86 📈
(Org: 91)
(3,784)
0.03 3,784
87 📈
(Org: 88)
(3,742)
- 3,742
88 📈
(Org: 110)
(3,733)
0.28 3,733
89 ➡️
(Org: 89)
(3,725)
- 3,725
90 ➡️
(Org: 90)
(3,674)
0 3,674
91 📈
(Org: 93)
(3,666)
0.03 3,666
92 ➡️
(Org: 92)
(3,662)
0.01 3,662
93 📈
(Org: 98)
(3,416)
0.1 3,416
94 ➡️
(Org: 94)
(3,395)
- 3,395
95 ➡️
(Org: 95)
(3,312)
0.01 3,312
96 📈
(Org: 148)
(3,228)
0.45 3,228
97 ➡️
(Org: 97)
(3,223)
0.04 3,223
98 📈
(Org: 117)
(3,203)
0.21 3,203
99 📉
(Org: 96)
(3,189)
- 3,189
100 ➡️
(Org: 100)
(3,114)
0.02 3,114