Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1925 - 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)
(60,907)
0 60,907
2 ➡️
(Org: 2)
(57,275)
0 57,275
3 ➡️
(Org: 3)
(53,418)
0 53,418
4 ➡️
(Org: 4)
(52,679)
- 52,679
5 ➡️
(Org: 5)
(29,597)
0 29,597
6 ➡️
(Org: 6)
(26,600)
0 26,600
7 ➡️
(Org: 7)
(24,762)
0.01 24,762
8 ➡️
(Org: 8)
(23,280)
0 23,280
9 ➡️
(Org: 9)
(20,096)
0 20,096
10 ➡️
(Org: 10)
(19,193)
- 19,193
11 ➡️
(Org: 11)
(16,835)
0.01 16,835
12 ➡️
(Org: 12)
(15,329)
- 15,329
13 ➡️
(Org: 13)
(14,192)
0 14,192
14 ➡️
(Org: 14)
(13,622)
0 13,622
15 ➡️
(Org: 15)
(12,442)
- 12,442
16 ➡️
(Org: 16)
(12,130)
- 12,130
17 ➡️
(Org: 17)
(12,055)
0 12,055
18 ➡️
(Org: 18)
(10,662)
0 10,662
19 ➡️
(Org: 19)
(10,154)
0 10,154
20 ➡️
(Org: 20)
(10,025)
0 10,025
21 ➡️
(Org: 21)
(9,511)
- 9,511
22 ➡️
(Org: 22)
(8,915)
- 8,915
23 ➡️
(Org: 23)
(8,630)
0 8,630
24 ➡️
(Org: 24)
(8,567)
0.01 8,567
25 ➡️
(Org: 25)
(8,475)
0 8,475
26 📈
(Org: 28)
(7,671)
0.08 7,671
27 📈
(Org: 29)
(7,243)
0.06 7,243
28 📉
(Org: 26)
(7,178)
0 7,178
29 📉
(Org: 27)
(7,167)
0.01 7,167
30 📈
(Org: 31)
(6,728)
0.04 6,728
31 📉
(Org: 30)
(6,680)
0 6,680
32 📈
(Org: 37)
(6,597)
0.17 6,597
33 📉
(Org: 32)
(6,454)
0.01 6,454
34 📈
(Org: 36)
(6,363)
0.11 6,363
35 📉
(Org: 33)
(6,213)
0 6,213
36 📉
(Org: 34)
(6,121)
0 6,121
37 📉
(Org: 35)
(6,092)
0.02 6,092
38 ➡️
(Org: 38)
(5,710)
0.04 5,710
39 📈
(Org: 49)
(5,217)
0.19 5,217
40 ➡️
(Org: 40)
(5,044)
0 5,044
41 📉
(Org: 39)
(5,041)
- 5,041
42 📉
(Org: 41)
(4,982)
0 4,982
43 📉
(Org: 42)
(4,953)
0.01 4,953
44 📉
(Org: 43)
(4,796)
- 4,796
45 ➡️
(Org: 45)
(4,616)
0.02 4,616
46 📉
(Org: 44)
(4,585)
0.01 4,585
47 📉
(Org: 46)
(4,451)
0.01 4,451
48 ➡️
(Org: 48)
(4,318)
0.01 4,318
49 📉
(Org: 47)
(4,301)
- 4,301
50 ➡️
(Org: 50)
(4,200)
0.01 4,200
51 📈
(Org: 77)
(4,148)
0.37 4,148
52 📈
(Org: 53)
(4,144)
0.08 4,144
53 📉
(Org: 51)
(4,103)
0 4,103
54 📈
(Org: 55)
(3,934)
0.04 3,934
55 📈
(Org: 62)
(3,907)
0.15 3,907
56 📉
(Org: 52)
(3,884)
- 3,884
57 📈
(Org: 85)
(3,870)
0.39 3,870
58 📉
(Org: 54)
(3,790)
0 3,790
59 📈
(Org: 65)
(3,695)
0.16 3,695
60 📈
(Org: 75)
(3,632)
0.26 3,632
61 📉
(Org: 56)
(3,617)
- 3,617
62 📉
(Org: 57)
(3,569)
0 3,569
63 📉
(Org: 58)
(3,550)
0.01 3,550
64 📉
(Org: 59)
(3,438)
0 3,438
65 📉
(Org: 60)
(3,373)
- 3,373
66 📉
(Org: 61)
(3,356)
- 3,356
67 📉
(Org: 63)
(3,349)
0.04 3,349
68 📉
(Org: 64)
(3,245)
0.01 3,245
69 📈
(Org: 111)
(2,991)
0.47 2,991
70 📉
(Org: 66)
(2,945)
- 2,945
71 📈
(Org: 78)
(2,933)
0.12 2,933
72 📉
(Org: 68)
(2,929)
0.01 2,929
73 📉
(Org: 67)
(2,918)
0 2,918
74 📉
(Org: 69)
(2,901)
0 2,901
75 📈
(Org: 79)
(2,846)
0.09 2,846
76 📉
(Org: 72)
(2,811)
0.02 2,811
77 📉
(Org: 71)
(2,781)
0 2,781
78 📉
(Org: 70)
(2,777)
- 2,777
79 📉
(Org: 73)
(2,719)
- 2,719
80 📉
(Org: 74)
(2,713)
- 2,713
81 📉
(Org: 76)
(2,636)
- 2,636
82 ➡️
(Org: 82)
(2,574)
0.01 2,574
83 📉
(Org: 80)
(2,567)
- 2,567
84 📉
(Org: 81)
(2,565)
0 2,565
85 📉
(Org: 83)
(2,417)
- 2,417
86 📉
(Org: 84)
(2,386)
0 2,386
87 📈
(Org: 100)
(2,362)
0.26 2,362
88 📉
(Org: 86)
(2,323)
0.01 2,323
89 📉
(Org: 87)
(2,309)
0.01 2,309
90 📉
(Org: 88)
(2,261)
0.03 2,261
91 📈
(Org: 121)
(2,219)
0.33 2,219
92 📈
(Org: 93)
(2,202)
0.06 2,202
93 📉
(Org: 90)
(2,201)
0.05 2,201
94 📉
(Org: 89)
(2,119)
- 2,119
95 📉
(Org: 91)
(2,092)
- 2,092
96 📉
(Org: 92)
(2,076)
- 2,076
97 📉
(Org: 94)
(2,034)
- 2,034
98 ➡️
(Org: 98)
(2,017)
0.12 2,017
99 📈
(Org: 102)
(2,005)
0.15 2,005
100 📉
(Org: 95)
(1,972)
- 1,972