Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1923 - 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)
(57,529)
0 57,529
2 ➡️
(Org: 2)
(56,121)
0 56,121
3 ➡️
(Org: 3)
(52,220)
0 52,220
4 ➡️
(Org: 4)
(50,463)
- 50,463
5 ➡️
(Org: 5)
(28,983)
0 28,983
6 ➡️
(Org: 6)
(27,074)
0 27,074
7 ➡️
(Org: 7)
(25,721)
0.01 25,721
8 ➡️
(Org: 8)
(20,603)
0 20,603
9 ➡️
(Org: 9)
(18,887)
- 18,887
10 ➡️
(Org: 10)
(16,433)
- 16,433
11 📈
(Org: 12)
(16,045)
0.01 16,045
12 📉
(Org: 11)
(15,903)
- 15,903
13 ➡️
(Org: 13)
(13,920)
0 13,920
14 ➡️
(Org: 14)
(13,386)
0 13,386
15 ➡️
(Org: 15)
(12,460)
- 12,460
16 ➡️
(Org: 16)
(12,433)
- 12,433
17 ➡️
(Org: 17)
(11,236)
0 11,236
18 ➡️
(Org: 18)
(11,114)
0 11,114
19 ➡️
(Org: 19)
(9,956)
0 9,956
20 ➡️
(Org: 20)
(9,825)
- 9,825
21 ➡️
(Org: 21)
(9,740)
0 9,740
22 ➡️
(Org: 22)
(9,278)
0 9,278
23 ➡️
(Org: 23)
(8,636)
0 8,636
24 ➡️
(Org: 24)
(8,230)
- 8,230
25 ➡️
(Org: 25)
(7,974)
0 7,974
26 📈
(Org: 27)
(7,563)
0.06 7,563
27 📈
(Org: 28)
(7,467)
0.08 7,467
28 📉
(Org: 26)
(7,165)
0 7,165
29 ➡️
(Org: 29)
(6,807)
0 6,807
30 ➡️
(Org: 30)
(6,705)
0.01 6,705
31 📈
(Org: 36)
(6,668)
0.11 6,668
32 📉
(Org: 31)
(6,631)
0.04 6,631
33 📈
(Org: 38)
(6,435)
0.17 6,435
34 📉
(Org: 32)
(6,391)
0.01 6,391
35 📉
(Org: 33)
(6,328)
0 6,328
36 📉
(Org: 34)
(6,192)
0.02 6,192
37 📉
(Org: 35)
(6,017)
0 6,017
38 📉
(Org: 37)
(5,722)
0.04 5,722
39 ➡️
(Org: 39)
(5,121)
- 5,121
40 ➡️
(Org: 40)
(5,094)
0 5,094
41 ➡️
(Org: 41)
(5,051)
0 5,051
42 ➡️
(Org: 42)
(5,005)
- 5,005
43 ➡️
(Org: 43)
(4,825)
0 4,825
44 ➡️
(Org: 44)
(4,717)
0 4,717
45 ➡️
(Org: 45)
(4,611)
0.01 4,611
46 ➡️
(Org: 46)
(4,423)
0.01 4,423
47 ➡️
(Org: 47)
(4,299)
0.01 4,299
48 📈
(Org: 52)
(4,154)
0.08 4,154
49 📈
(Org: 50)
(4,081)
0.04 4,081
50 📉
(Org: 48)
(4,055)
0.01 4,055
51 📈
(Org: 59)
(4,016)
0.16 4,016
52 📉
(Org: 49)
(3,989)
0 3,989
53 📈
(Org: 60)
(3,913)
0.16 3,913
54 📈
(Org: 83)
(3,898)
0.39 3,898
55 📈
(Org: 84)
(3,820)
0.38 3,820
56 📉
(Org: 51)
(3,810)
- 3,810
57 📉
(Org: 54)
(3,774)
0.02 3,774
58 📉
(Org: 53)
(3,748)
- 3,748
59 📉
(Org: 55)
(3,686)
- 3,686
60 📉
(Org: 56)
(3,652)
- 3,652
61 📈
(Org: 70)
(3,641)
0.24 3,641
62 📉
(Org: 57)
(3,630)
- 3,630
63 📉
(Org: 58)
(3,409)
- 3,409
64 📈
(Org: 101)
(3,278)
0.48 3,278
65 📈
(Org: 78)
(3,272)
0.24 3,272
66 📉
(Org: 62)
(3,264)
0.03 3,264
67 📉
(Org: 61)
(3,190)
0.01 3,190
68 📉
(Org: 64)
(3,153)
0 3,153
69 📉
(Org: 63)
(3,150)
- 3,150
70 📉
(Org: 65)
(3,115)
0 3,115
71 📉
(Org: 66)
(2,974)
0 2,974
72 📉
(Org: 67)
(2,956)
- 2,956
73 📈
(Org: 74)
(2,939)
0.11 2,939
74 📈
(Org: 79)
(2,892)
0.15 2,892
75 📉
(Org: 68)
(2,883)
0.01 2,883
76 📉
(Org: 69)
(2,808)
0 2,808
77 📉
(Org: 71)
(2,774)
0 2,774
78 📉
(Org: 72)
(2,725)
0 2,725
79 📉
(Org: 73)
(2,647)
- 2,647
80 📉
(Org: 76)
(2,640)
0.02 2,640
81 📉
(Org: 75)
(2,597)
- 2,597
82 📉
(Org: 77)
(2,528)
- 2,528
83 📉
(Org: 80)
(2,459)
- 2,459
84 📈
(Org: 86)
(2,447)
0.05 2,447
85 📉
(Org: 81)
(2,446)
- 2,446
86 📉
(Org: 82)
(2,408)
- 2,408
87 📉
(Org: 85)
(2,400)
0.02 2,400
88 📈
(Org: 107)
(2,309)
0.28 2,309
89 📉
(Org: 87)
(2,267)
0.01 2,267
90 📉
(Org: 88)
(2,226)
- 2,226
91 📉
(Org: 89)
(2,204)
- 2,204
92 📉
(Org: 91)
(2,201)
0.04 2,201
93 📉
(Org: 90)
(2,195)
0.01 2,195
94 📈
(Org: 103)
(1,989)
0.15 1,989
95 ➡️
(Org: 95)
(1,955)
0.03 1,955
96 📈
(Org: 99)
(1,953)
0.11 1,953
97 📈
(Org: 109)
(1,952)
0.18 1,952
98 📉
(Org: 92)
(1,945)
- 1,945
99 📉
(Org: 93)
(1,927)
- 1,927
100 📈
(Org: 104)
(1,898)
0.12 1,898