Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1922 - 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)
(57,358)
0 57,358
2 ➡️
(Org: 2)
(53,805)
0 53,805
3 ➡️
(Org: 3)
(51,214)
0 51,214
4 ➡️
(Org: 4)
(49,803)
- 49,803
5 ➡️
(Org: 5)
(28,854)
0 28,854
6 ➡️
(Org: 6)
(27,399)
0 27,399
7 ➡️
(Org: 7)
(25,848)
0.01 25,848
8 ➡️
(Org: 8)
(20,425)
0 20,425
9 ➡️
(Org: 9)
(17,537)
- 17,537
10 ➡️
(Org: 10)
(16,013)
- 16,013
11 ➡️
(Org: 11)
(15,402)
0.01 15,402
12 ➡️
(Org: 12)
(14,913)
- 14,913
13 ➡️
(Org: 13)
(13,625)
0 13,625
14 ➡️
(Org: 14)
(12,949)
0 12,949
15 ➡️
(Org: 15)
(12,631)
- 12,631
16 ➡️
(Org: 16)
(12,129)
- 12,129
17 ➡️
(Org: 17)
(11,272)
0.01 11,272
18 ➡️
(Org: 18)
(10,909)
0.01 10,909
19 ➡️
(Org: 19)
(10,157)
0 10,157
20 ➡️
(Org: 20)
(9,896)
- 9,896
21 ➡️
(Org: 21)
(9,271)
0 9,271
22 ➡️
(Org: 22)
(9,100)
0 9,100
23 ➡️
(Org: 23)
(8,492)
0 8,492
24 📈
(Org: 25)
(7,890)
0.01 7,890
25 📉
(Org: 24)
(7,865)
- 7,865
26 📈
(Org: 27)
(7,590)
0.07 7,590
27 📉
(Org: 26)
(7,307)
0 7,307
28 📈
(Org: 30)
(7,240)
0.08 7,240
29 📉
(Org: 28)
(6,938)
0 6,938
30 📉
(Org: 29)
(6,866)
0 6,866
31 ➡️
(Org: 31)
(6,744)
0.04 6,744
32 📈
(Org: 37)
(6,599)
0.17 6,599
33 📈
(Org: 36)
(6,562)
0.12 6,562
34 📉
(Org: 32)
(6,551)
0.01 6,551
35 📉
(Org: 33)
(6,261)
0 6,261
36 📉
(Org: 34)
(6,248)
0.02 6,248
37 📉
(Org: 35)
(6,102)
0 6,102
38 ➡️
(Org: 38)
(5,648)
0.04 5,648
39 ➡️
(Org: 39)
(5,091)
- 5,091
40 📈
(Org: 41)
(5,072)
0.01 5,072
41 📉
(Org: 40)
(5,064)
0 5,064
42 ➡️
(Org: 42)
(4,833)
- 4,833
43 ➡️
(Org: 43)
(4,642)
0.01 4,642
44 ➡️
(Org: 44)
(4,535)
0 4,535
45 ➡️
(Org: 45)
(4,484)
- 4,484
46 ➡️
(Org: 46)
(4,469)
0.01 4,469
47 ➡️
(Org: 47)
(4,313)
0.01 4,313
48 📈
(Org: 49)
(4,290)
0.08 4,290
49 📉
(Org: 48)
(4,123)
0.03 4,123
50 📈
(Org: 81)
(4,021)
0.4 4,021
51 📈
(Org: 59)
(3,974)
0.15 3,974
52 📈
(Org: 60)
(3,959)
0.15 3,959
53 📉
(Org: 50)
(3,940)
0.01 3,940
54 📉
(Org: 51)
(3,912)
0 3,912
55 📉
(Org: 52)
(3,827)
- 3,827
56 📈
(Org: 79)
(3,809)
0.36 3,809
57 📉
(Org: 53)
(3,803)
- 3,803
58 📉
(Org: 54)
(3,738)
- 3,738
59 📈
(Org: 70)
(3,709)
0.25 3,709
60 📉
(Org: 55)
(3,676)
0 3,676
61 📉
(Org: 58)
(3,654)
0.03 3,654
62 📉
(Org: 56)
(3,585)
0 3,585
63 📉
(Org: 57)
(3,545)
- 3,545
64 📈
(Org: 103)
(3,342)
0.49 3,342
65 📉
(Org: 62)
(3,308)
0.03 3,308
66 📉
(Org: 61)
(3,235)
0 3,235
67 📉
(Org: 63)
(3,165)
0 3,165
68 📉
(Org: 64)
(3,133)
- 3,133
69 📈
(Org: 72)
(3,095)
0.14 3,095
70 📉
(Org: 65)
(3,077)
0.01 3,077
71 📉
(Org: 67)
(3,032)
0.01 3,032
72 📉
(Org: 66)
(3,025)
0 3,025
73 📉
(Org: 68)
(3,003)
- 3,003
74 📉
(Org: 69)
(2,960)
0 2,960
75 ➡️
(Org: 75)
(2,831)
0.1 2,831
76 📉
(Org: 71)
(2,720)
0 2,720
77 📈
(Org: 90)
(2,659)
0.24 2,659
78 📉
(Org: 76)
(2,622)
0.04 2,622
79 📉
(Org: 73)
(2,598)
- 2,598
80 📉
(Org: 74)
(2,556)
- 2,556
81 📈
(Org: 82)
(2,530)
0.06 2,530
82 📉
(Org: 77)
(2,521)
- 2,521
83 📉
(Org: 78)
(2,487)
0 2,487
84 📉
(Org: 80)
(2,403)
- 2,403
85 📉
(Org: 83)
(2,400)
0.01 2,400
86 📉
(Org: 84)
(2,349)
- 2,349
87 📉
(Org: 85)
(2,343)
0 2,343
88 📉
(Org: 86)
(2,322)
- 2,322
89 📈
(Org: 105)
(2,307)
0.29 2,307
90 📉
(Org: 88)
(2,280)
0.03 2,280
91 📉
(Org: 87)
(2,215)
0 2,215
92 📈
(Org: 101)
(2,117)
0.19 2,117
93 📈
(Org: 97)
(2,095)
0.14 2,095
94 📉
(Org: 89)
(2,064)
0.01 2,064
95 📉
(Org: 91)
(2,017)
- 2,017
96 📉
(Org: 92)
(2,013)
0 2,013
97 📈
(Org: 98)
(1,997)
0.1 1,997
98 📉
(Org: 93)
(1,923)
- 1,923
99 📉
(Org: 96)
(1,916)
0.04 1,916
100 📉
(Org: 94)
(1,892)
- 1,892