Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1933 - 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)
(54,229)
0 54,229
2 ➡️
(Org: 2)
(51,110)
- 51,110
3 ➡️
(Org: 3)
(46,573)
0.01 46,573
4 ➡️
(Org: 4)
(39,074)
0 39,074
5 ➡️
(Org: 5)
(31,331)
- 31,331
6 ➡️
(Org: 6)
(29,006)
0 29,006
7 ➡️
(Org: 7)
(28,450)
- 28,450
8 ➡️
(Org: 8)
(18,391)
0 18,391
9 ➡️
(Org: 9)
(17,256)
0.01 17,256
10 ➡️
(Org: 10)
(16,625)
0.01 16,625
11 ➡️
(Org: 11)
(13,797)
- 13,797
12 ➡️
(Org: 12)
(12,072)
0 12,072
13 ➡️
(Org: 13)
(12,027)
- 12,027
14 ➡️
(Org: 14)
(11,880)
0 11,880
15 ➡️
(Org: 15)
(11,424)
0 11,424
16 ➡️
(Org: 16)
(10,964)
- 10,964
17 📈
(Org: 20)
(10,004)
0.11 10,004
18 📉
(Org: 17)
(9,871)
0 9,871
19 📉
(Org: 18)
(9,566)
0 9,566
20 📉
(Org: 19)
(9,531)
0 9,531
21 ➡️
(Org: 21)
(7,755)
- 7,755
22 ➡️
(Org: 22)
(7,693)
0.04 7,693
23 ➡️
(Org: 23)
(7,387)
0 7,387
24 📈
(Org: 26)
(7,126)
0.09 7,126
25 📈
(Org: 28)
(6,889)
0.1 6,889
26 📉
(Org: 24)
(6,782)
0.01 6,782
27 📉
(Org: 25)
(6,578)
0.01 6,578
28 📉
(Org: 27)
(6,437)
0 6,437
29 ➡️
(Org: 29)
(6,185)
- 6,185
30 📈
(Org: 31)
(6,151)
0.01 6,151
31 📉
(Org: 30)
(6,091)
- 6,091
32 ➡️
(Org: 32)
(6,013)
0.01 6,013
33 📈
(Org: 38)
(5,545)
0.11 5,545
34 📉
(Org: 33)
(5,496)
0.02 5,496
35 📈
(Org: 64)
(5,447)
0.46 5,447
36 📉
(Org: 34)
(5,287)
- 5,287
37 📉
(Org: 35)
(5,134)
- 5,134
38 📈
(Org: 40)
(5,062)
0.07 5,062
39 📉
(Org: 36)
(5,004)
0 5,004
40 📉
(Org: 39)
(4,987)
0.02 4,987
41 📉
(Org: 37)
(4,964)
0 4,964
42 📉
(Org: 41)
(4,551)
0.04 4,551
43 📈
(Org: 50)
(4,532)
0.19 4,532
44 📉
(Org: 42)
(4,356)
0.01 4,356
45 📉
(Org: 43)
(4,289)
0 4,289
46 📉
(Org: 45)
(4,177)
0.02 4,177
47 ➡️
(Org: 47)
(4,138)
0.04 4,138
48 📉
(Org: 44)
(4,137)
0 4,137
49 📉
(Org: 48)
(4,082)
0.04 4,082
50 📉
(Org: 46)
(3,974)
- 3,974
51 📈
(Org: 70)
(3,865)
0.35 3,865
52 📈
(Org: 74)
(3,701)
0.36 3,701
53 📉
(Org: 49)
(3,696)
0 3,696
54 📉
(Org: 51)
(3,661)
0.02 3,661
55 📉
(Org: 53)
(3,656)
0.03 3,656
56 📉
(Org: 52)
(3,562)
- 3,562
57 📉
(Org: 54)
(3,551)
0.03 3,551
58 📉
(Org: 55)
(3,444)
0 3,444
59 📉
(Org: 56)
(3,357)
- 3,357
60 📉
(Org: 58)
(3,275)
0.01 3,275
61 📉
(Org: 57)
(3,268)
- 3,268
62 📉
(Org: 59)
(3,222)
- 3,222
63 📉
(Org: 61)
(3,142)
0.01 3,142
64 📉
(Org: 60)
(3,137)
- 3,137
65 📉
(Org: 62)
(3,061)
0.01 3,061
66 📉
(Org: 63)
(3,038)
0.01 3,038
67 📉
(Org: 66)
(2,984)
0.07 2,984
68 📈
(Org: 78)
(2,969)
0.22 2,969
69 📉
(Org: 65)
(2,958)
0.01 2,958
70 📈
(Org: 100)
(2,902)
0.38 2,902
71 📉
(Org: 67)
(2,896)
0.07 2,896
72 📈
(Org: 73)
(2,851)
0.15 2,851
73 📉
(Org: 68)
(2,707)
0.04 2,707
74 📉
(Org: 71)
(2,581)
0.02 2,581
75 📉
(Org: 69)
(2,541)
- 2,541
76 📉
(Org: 75)
(2,352)
- 2,352
77 📉
(Org: 76)
(2,344)
- 2,344
78 📉
(Org: 77)
(2,328)
- 2,328
79 ➡️
(Org: 79)
(2,323)
0.01 2,323
80 📈
(Org: 81)
(2,294)
0.02 2,294
81 📈
(Org: 91)
(2,286)
0.11 2,286
82 📉
(Org: 80)
(2,265)
0 2,265
83 📈
(Org: 95)
(2,224)
0.11 2,224
84 📉
(Org: 82)
(2,222)
- 2,222
85 📉
(Org: 83)
(2,206)
- 2,206
86 📉
(Org: 84)
(2,204)
- 2,204
87 📉
(Org: 85)
(2,187)
- 2,187
88 📈
(Org: 128)
(2,178)
0.4 2,178
89 📉
(Org: 86)
(2,169)
0.01 2,169
90 ➡️
(Org: 90)
(2,161)
0.05 2,161
91 📉
(Org: 87)
(2,141)
- 2,141
92 📉
(Org: 88)
(2,128)
- 2,128
93 ➡️
(Org: 93)
(2,069)
0.03 2,069
94 📉
(Org: 89)
(2,064)
- 2,064
95 📉
(Org: 91)
(2,037)
- 2,037
96 📉
(Org: 94)
(1,992)
0 1,992
97 ➡️
(Org: 97)
(1,960)
0.03 1,960
98 📉
(Org: 96)
(1,945)
- 1,945
99 📉
(Org: 98)
(1,875)
- 1,875
100 📈
(Org: 115)
(1,862)
0.22 1,862