Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1927 - 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)
(61,680)
0 61,680
2 ➡️
(Org: 2)
(56,053)
0 56,053
3 ➡️
(Org: 3)
(53,680)
0 53,680
4 ➡️
(Org: 4)
(51,567)
0 51,567
5 ➡️
(Org: 5)
(31,958)
0 31,958
6 ➡️
(Org: 6)
(26,783)
0 26,783
7 ➡️
(Org: 7)
(25,997)
0 25,997
8 ➡️
(Org: 8)
(23,834)
- 23,834
9 ➡️
(Org: 9)
(23,673)
0.01 23,673
10 ➡️
(Org: 10)
(19,121)
0 19,121
11 ➡️
(Org: 11)
(17,185)
0.01 17,185
12 ➡️
(Org: 12)
(14,377)
- 14,377
13 ➡️
(Org: 13)
(13,624)
0 13,624
14 ➡️
(Org: 14)
(13,256)
0 13,256
15 📈
(Org: 16)
(12,872)
0.01 12,872
16 📉
(Org: 15)
(12,807)
- 12,807
17 ➡️
(Org: 17)
(11,346)
- 11,346
18 ➡️
(Org: 18)
(10,869)
0 10,869
19 ➡️
(Org: 19)
(9,924)
0.01 9,924
20 ➡️
(Org: 20)
(9,791)
0.01 9,791
21 ➡️
(Org: 21)
(9,426)
- 9,426
22 ➡️
(Org: 22)
(9,393)
0.01 9,393
23 ➡️
(Org: 23)
(9,128)
- 9,128
24 ➡️
(Org: 24)
(8,440)
0 8,440
25 ➡️
(Org: 25)
(8,031)
0 8,031
26 ➡️
(Org: 26)
(7,933)
0.08 7,933
27 📈
(Org: 31)
(7,813)
0.17 7,813
28 📈
(Org: 29)
(7,071)
0.06 7,071
29 📉
(Org: 27)
(7,004)
0 7,004
30 📉
(Org: 28)
(6,842)
0 6,842
31 📈
(Org: 33)
(6,674)
0.04 6,674
32 📉
(Org: 30)
(6,559)
0 6,559
33 📉
(Org: 32)
(6,468)
0 6,468
34 ➡️
(Org: 34)
(6,460)
0.01 6,460
35 📈
(Org: 37)
(6,378)
0.13 6,378
36 📉
(Org: 35)
(6,327)
0 6,327
37 📈
(Org: 41)
(6,270)
0.17 6,270
38 📉
(Org: 36)
(5,769)
0.02 5,769
39 📉
(Org: 38)
(5,640)
0.02 5,640
40 ➡️
(Org: 40)
(5,562)
0.04 5,562
41 📉
(Org: 39)
(5,505)
0 5,505
42 ➡️
(Org: 42)
(5,055)
0.01 5,055
43 📈
(Org: 44)
(4,920)
0 4,920
44 📉
(Org: 43)
(4,918)
- 4,918
45 ➡️
(Org: 45)
(4,756)
- 4,756
46 ➡️
(Org: 46)
(4,668)
0.01 4,668
47 ➡️
(Org: 47)
(4,397)
- 4,397
48 📈
(Org: 76)
(4,287)
0.38 4,287
49 📉
(Org: 48)
(4,245)
0.01 4,245
50 📉
(Org: 49)
(4,229)
0.01 4,229
51 📉
(Org: 50)
(4,207)
0.01 4,207
52 📈
(Org: 58)
(3,953)
0.16 3,953
53 📉
(Org: 51)
(3,912)
- 3,912
54 ➡️
(Org: 54)
(3,845)
0.08 3,845
55 📈
(Org: 89)
(3,805)
0.39 3,805
56 📉
(Org: 52)
(3,751)
0.04 3,751
57 📈
(Org: 75)
(3,726)
0.28 3,726
58 📈
(Org: 64)
(3,653)
0.17 3,653
59 📉
(Org: 53)
(3,575)
0.01 3,575
60 📉
(Org: 55)
(3,546)
0 3,546
61 📉
(Org: 56)
(3,437)
- 3,437
62 📉
(Org: 57)
(3,390)
- 3,390
63 📉
(Org: 59)
(3,301)
- 3,301
64 📉
(Org: 60)
(3,289)
0.01 3,289
65 📉
(Org: 62)
(3,233)
0.03 3,233
66 📉
(Org: 61)
(3,205)
- 3,205
67 📉
(Org: 63)
(3,121)
0 3,121
68 📈
(Org: 72)
(3,073)
0.09 3,073
69 📉
(Org: 65)
(3,038)
0 3,038
70 📉
(Org: 68)
(2,907)
0.01 2,907
71 📉
(Org: 66)
(2,883)
- 2,883
72 📉
(Org: 67)
(2,881)
- 2,881
73 📈
(Org: 80)
(2,877)
0.13 2,877
74 📉
(Org: 70)
(2,874)
0.01 2,874
75 📈
(Org: 82)
(2,869)
0.13 2,869
76 📉
(Org: 69)
(2,863)
- 2,863
77 📉
(Org: 71)
(2,852)
- 2,852
78 📈
(Org: 91)
(2,800)
0.18 2,800
79 📉
(Org: 74)
(2,737)
0.02 2,737
80 📈
(Org: 108)
(2,724)
0.37 2,724
81 📈
(Org: 122)
(2,719)
0.45 2,719
82 📉
(Org: 73)
(2,694)
- 2,694
83 📉
(Org: 77)
(2,656)
0 2,656
84 📉
(Org: 78)
(2,602)
- 2,602
85 📉
(Org: 79)
(2,555)
- 2,555
86 📉
(Org: 81)
(2,524)
0.01 2,524
87 📉
(Org: 84)
(2,517)
0.04 2,517
88 📈
(Org: 105)
(2,454)
0.27 2,454
89 📉
(Org: 83)
(2,440)
- 2,440
90 📉
(Org: 86)
(2,431)
0.02 2,431
91 📉
(Org: 85)
(2,407)
- 2,407
92 📉
(Org: 90)
(2,401)
0.04 2,401
93 📉
(Org: 87)
(2,383)
- 2,383
94 📉
(Org: 88)
(2,358)
- 2,358
95 📉
(Org: 94)
(2,264)
0.03 2,264
96 📉
(Org: 93)
(2,246)
0.01 2,246
97 📉
(Org: 92)
(2,233)
0 2,233
98 📉
(Org: 95)
(2,102)
- 2,102
99 📈
(Org: 101)
(2,039)
0.06 2,039
100 📉
(Org: 96)
(2,014)
0 2,014