Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1944 - 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)
(76,951)
- 76,951
2 ➡️
(Org: 2)
(70,855)
- 70,855
3 ➡️
(Org: 3)
(68,445)
0.03 68,445
4 ➡️
(Org: 4)
(52,406)
0 52,406
5 ➡️
(Org: 5)
(45,643)
- 45,643
6 ➡️
(Org: 6)
(37,385)
0 37,385
7 ➡️
(Org: 7)
(34,674)
0 34,674
8 ➡️
(Org: 8)
(31,749)
0 31,749
9 ➡️
(Org: 9)
(27,482)
0.03 27,482
10 ➡️
(Org: 10)
(25,554)
0 25,554
11 ➡️
(Org: 11)
(23,466)
- 23,466
12 ➡️
(Org: 12)
(22,092)
0 22,092
13 ➡️
(Org: 13)
(21,310)
0.01 21,310
14 ➡️
(Org: 14)
(20,451)
0 20,451
15 ➡️
(Org: 15)
(20,113)
0 20,113
16 ➡️
(Org: 16)
(18,108)
0 18,108
17 ➡️
(Org: 17)
(16,681)
0 16,681
18 📈
(Org: 19)
(16,590)
0.02 16,590
19 📉
(Org: 18)
(16,481)
- 16,481
20 ➡️
(Org: 20)
(13,996)
0.02 13,996
21 📈
(Org: 28)
(12,908)
0.4 12,908
22 📉
(Org: 21)
(11,342)
- 11,342
23 ➡️
(Org: 23)
(11,089)
0.05 11,089
24 📉
(Org: 22)
(10,641)
0 10,641
25 📉
(Org: 24)
(10,582)
0.05 10,582
26 📉
(Org: 25)
(9,373)
0.01 9,373
27 📈
(Org: 41)
(8,742)
0.28 8,742
28 📉
(Org: 26)
(8,159)
- 8,159
29 📉
(Org: 27)
(7,988)
0 7,988
30 📈
(Org: 32)
(7,940)
0.1 7,940
31 📈
(Org: 36)
(7,690)
0.11 7,690
32 📉
(Org: 30)
(7,305)
0.01 7,305
33 📉
(Org: 29)
(7,291)
0 7,291
34 📉
(Org: 31)
(7,239)
0.01 7,239
35 📉
(Org: 33)
(7,083)
0 7,083
36 📉
(Org: 34)
(7,081)
0.01 7,081
37 📉
(Org: 35)
(7,011)
0.01 7,011
38 📈
(Org: 60)
(7,008)
0.43 7,008
39 📉
(Org: 38)
(6,950)
0.06 6,950
40 📉
(Org: 37)
(6,722)
- 6,722
41 📉
(Org: 39)
(6,582)
0.01 6,582
42 📉
(Org: 40)
(6,350)
0 6,350
43 📉
(Org: 42)
(6,272)
- 6,272
44 📉
(Org: 43)
(5,976)
- 5,976
45 📉
(Org: 44)
(5,857)
- 5,857
46 📉
(Org: 45)
(5,764)
0.02 5,764
47 📈
(Org: 50)
(5,704)
0.05 5,704
48 📉
(Org: 46)
(5,605)
- 5,605
49 📉
(Org: 47)
(5,588)
0 5,588
50 📉
(Org: 48)
(5,527)
0 5,527
51 📈
(Org: 69)
(5,523)
0.32 5,523
52 📉
(Org: 49)
(5,485)
0 5,485
53 📉
(Org: 51)
(5,262)
- 5,262
54 ➡️
(Org: 54)
(5,029)
0.07 5,029
55 📉
(Org: 53)
(5,025)
- 5,025
56 📈
(Org: 59)
(4,938)
0.18 4,938
57 📈
(Org: 73)
(4,470)
0.2 4,470
58 📉
(Org: 56)
(4,346)
0.04 4,346
59 📈
(Org: 88)
(4,301)
0.34 4,301
60 📉
(Org: 55)
(4,277)
- 4,277
61 📉
(Org: 57)
(4,137)
0 4,137
62 📈
(Org: 63)
(4,097)
0.04 4,097
63 📉
(Org: 58)
(4,070)
0 4,070
64 📉
(Org: 61)
(4,017)
0.01 4,017
65 ➡️
(Org: 65)
(4,012)
0.03 4,012
66 📉
(Org: 62)
(3,997)
0.01 3,997
67 📉
(Org: 64)
(3,898)
0 3,898
68 📉
(Org: 67)
(3,834)
0.02 3,834
69 📉
(Org: 66)
(3,815)
- 3,815
70 📉
(Org: 68)
(3,744)
- 3,744
71 📈
(Org: 76)
(3,719)
0.06 3,719
72 📉
(Org: 71)
(3,714)
0.02 3,714
73 📉
(Org: 70)
(3,709)
0 3,709
74 📉
(Org: 72)
(3,691)
0.03 3,691
75 📉
(Org: 74)
(3,580)
0 3,580
76 📉
(Org: 75)
(3,568)
- 3,568
77 📈
(Org: 79)
(3,466)
0.04 3,466
78 📉
(Org: 77)
(3,422)
- 3,422
79 📉
(Org: 78)
(3,409)
- 3,409
80 📈
(Org: 103)
(3,366)
0.31 3,366
81 📉
(Org: 80)
(3,084)
- 3,084
82 📉
(Org: 81)
(3,057)
- 3,057
83 📉
(Org: 82)
(3,047)
- 3,047
84 📈
(Org: 101)
(3,036)
0.23 3,036
85 📈
(Org: 93)
(3,034)
0.1 3,034
86 📉
(Org: 84)
(3,007)
0.01 3,007
87 📉
(Org: 85)
(2,992)
0.02 2,992
88 📉
(Org: 86)
(2,927)
0.01 2,927
89 📉
(Org: 87)
(2,916)
0.01 2,916
90 📉
(Org: 89)
(2,836)
- 2,836
91 📉
(Org: 90)
(2,781)
0 2,781
92 📈
(Org: 95)
(2,774)
0.06 2,774
93 📉
(Org: 91)
(2,767)
- 2,767
94 📉
(Org: 92)
(2,754)
- 2,754
95 📈
(Org: 96)
(2,650)
0.03 2,650
96 📉
(Org: 94)
(2,642)
0.01 2,642
97 📈
(Org: 102)
(2,607)
0.11 2,607
98 📉
(Org: 97)
(2,546)
0.03 2,546
99 ➡️
(Org: 99)
(2,399)
0 2,399
100 📈
(Org: 112)
(2,393)
0.15 2,393