Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1921 - 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)
(58,280)
0 58,280
2 ➡️
(Org: 2)
(52,784)
0 52,784
3 ➡️
(Org: 3)
(51,964)
0 51,964
4 ➡️
(Org: 4)
(49,750)
- 49,750
5 ➡️
(Org: 5)
(29,255)
0 29,255
6 ➡️
(Org: 6)
(27,513)
0 27,513
7 ➡️
(Org: 7)
(26,333)
0.01 26,333
8 ➡️
(Org: 8)
(20,817)
- 20,817
9 ➡️
(Org: 9)
(16,705)
- 16,705
10 ➡️
(Org: 10)
(16,376)
- 16,376
11 ➡️
(Org: 11)
(15,429)
0.01 15,429
12 ➡️
(Org: 12)
(13,841)
0 13,841
13 ➡️
(Org: 13)
(13,776)
- 13,776
14 ➡️
(Org: 14)
(13,204)
0 13,204
15 ➡️
(Org: 15)
(13,004)
- 13,004
16 ➡️
(Org: 16)
(12,653)
0 12,653
17 ➡️
(Org: 17)
(11,454)
0 11,454
18 ➡️
(Org: 18)
(10,817)
0.01 10,817
19 ➡️
(Org: 19)
(10,582)
0.01 10,582
20 ➡️
(Org: 20)
(10,158)
- 10,158
21 ➡️
(Org: 21)
(9,754)
0 9,754
22 ➡️
(Org: 22)
(8,971)
0 8,971
23 ➡️
(Org: 23)
(8,865)
0 8,865
24 ➡️
(Org: 24)
(7,807)
0 7,807
25 ➡️
(Org: 25)
(7,765)
- 7,765
26 ➡️
(Org: 26)
(7,744)
0 7,744
27 ➡️
(Org: 27)
(7,721)
0 7,721
28 📈
(Org: 29)
(7,704)
0.06 7,704
29 📈
(Org: 30)
(7,680)
0.08 7,680
30 📉
(Org: 28)
(7,337)
0 7,337
31 ➡️
(Org: 31)
(7,104)
0.05 7,104
32 📈
(Org: 38)
(6,825)
0.17 6,825
33 📈
(Org: 37)
(6,771)
0.12 6,771
34 📉
(Org: 32)
(6,625)
0.01 6,625
35 📉
(Org: 34)
(6,518)
0 6,518
36 📉
(Org: 33)
(6,505)
0 6,505
37 📉
(Org: 35)
(6,399)
0.02 6,399
38 📉
(Org: 36)
(6,213)
0 6,213
39 ➡️
(Org: 39)
(5,888)
0.04 5,888
40 📈
(Org: 41)
(5,245)
0 5,245
41 📉
(Org: 40)
(5,239)
- 5,239
42 ➡️
(Org: 42)
(5,227)
0 5,227
43 ➡️
(Org: 43)
(4,925)
- 4,925
44 ➡️
(Org: 44)
(4,800)
0.01 4,800
45 ➡️
(Org: 45)
(4,529)
0.01 4,529
46 ➡️
(Org: 46)
(4,484)
0 4,484
47 ➡️
(Org: 47)
(4,370)
0.04 4,370
48 📈
(Org: 52)
(4,330)
0.09 4,330
49 📈
(Org: 58)
(4,168)
0.15 4,168
50 📉
(Org: 48)
(4,146)
- 4,146
51 📉
(Org: 49)
(4,119)
0.01 4,119
52 📉
(Org: 50)
(4,083)
0 4,083
53 📈
(Org: 61)
(4,033)
0.16 4,033
54 📈
(Org: 77)
(4,029)
0.38 4,029
55 📉
(Org: 51)
(4,015)
- 4,015
56 📈
(Org: 80)
(3,955)
0.38 3,955
57 📉
(Org: 53)
(3,929)
0.01 3,929
58 📉
(Org: 54)
(3,750)
- 3,750
59 📉
(Org: 55)
(3,749)
- 3,749
60 📈
(Org: 72)
(3,628)
0.25 3,628
61 📉
(Org: 56)
(3,549)
- 3,549
62 📉
(Org: 57)
(3,548)
- 3,548
63 📉
(Org: 59)
(3,495)
0 3,495
64 📉
(Org: 60)
(3,460)
0.02 3,460
65 📈
(Org: 101)
(3,418)
0.49 3,418
66 📉
(Org: 62)
(3,275)
0 3,275
67 📉
(Org: 65)
(3,274)
0.03 3,274
67 📉
(Org: 63)
(3,274)
0.01 3,274
69 📉
(Org: 64)
(3,227)
0 3,227
70 📉
(Org: 67)
(3,092)
0.01 3,092
71 📉
(Org: 66)
(3,088)
0 3,088
72 📉
(Org: 68)
(3,074)
0 3,074
73 📉
(Org: 69)
(3,044)
0.01 3,044
74 📈
(Org: 76)
(3,036)
0.15 3,036
75 📉
(Org: 71)
(2,953)
0.08 2,953
76 📉
(Org: 70)
(2,784)
0 2,784
77 📉
(Org: 73)
(2,687)
- 2,687
78 📉
(Org: 74)
(2,616)
- 2,616
79 📉
(Org: 75)
(2,588)
- 2,588
80 📈
(Org: 82)
(2,572)
0.06 2,572
81 📉
(Org: 78)
(2,467)
0 2,467
82 📉
(Org: 79)
(2,456)
- 2,456
83 📈
(Org: 84)
(2,430)
0.02 2,430
84 📉
(Org: 81)
(2,417)
- 2,417
85 📉
(Org: 83)
(2,407)
- 2,407
86 ➡️
(Org: 86)
(2,386)
0.01 2,386
87 ➡️
(Org: 87)
(2,372)
0.04 2,372
88 📉
(Org: 85)
(2,367)
- 2,367
89 📈
(Org: 97)
(2,298)
0.19 2,298
90 📈
(Org: 108)
(2,294)
0.29 2,294
91 📈
(Org: 96)
(2,176)
0.13 2,176
92 📈
(Org: 109)
(2,174)
0.25 2,174
93 📈
(Org: 95)
(2,131)
0.1 2,131
94 📉
(Org: 88)
(2,095)
- 2,095
95 📉
(Org: 89)
(2,077)
- 2,077
96 📉
(Org: 90)
(2,014)
- 2,014
97 📉
(Org: 93)
(1,993)
0.02 1,993
98 📉
(Org: 91)
(1,982)
- 1,982
99 📉
(Org: 92)
(1,978)
- 1,978
100 📉
(Org: 94)
(1,937)
- 1,937