Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1932 - 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)
(59,268)
- 59,268
2 ➡️
(Org: 2)
(51,931)
- 51,931
3 ➡️
(Org: 3)
(48,821)
0 48,821
4 ➡️
(Org: 4)
(42,169)
0 42,169
5 ➡️
(Org: 5)
(31,814)
0 31,814
6 ➡️
(Org: 6)
(31,117)
0 31,117
7 ➡️
(Org: 7)
(29,792)
- 29,792
8 ➡️
(Org: 8)
(20,479)
0 20,479
9 ➡️
(Org: 9)
(18,683)
0.01 18,683
10 ➡️
(Org: 10)
(16,965)
0.01 16,965
11 ➡️
(Org: 11)
(15,190)
- 15,190
12 ➡️
(Org: 12)
(12,139)
- 12,139
13 ➡️
(Org: 13)
(12,090)
0 12,090
14 ➡️
(Org: 14)
(11,762)
0 11,762
15 ➡️
(Org: 15)
(11,497)
- 11,497
16 ➡️
(Org: 16)
(11,159)
0 11,159
17 ➡️
(Org: 17)
(10,753)
0 10,753
18 📈
(Org: 20)
(10,643)
0.11 10,643
19 📉
(Org: 18)
(10,460)
0 10,460
20 📉
(Org: 19)
(10,358)
0 10,358
21 ➡️
(Org: 21)
(8,668)
- 8,668
22 ➡️
(Org: 22)
(8,076)
0 8,076
23 📈
(Org: 24)
(7,611)
0.03 7,611
24 📉
(Org: 23)
(7,538)
0.01 7,538
25 📈
(Org: 28)
(7,407)
0.09 7,407
26 📈
(Org: 30)
(7,304)
0.1 7,304
27 📉
(Org: 25)
(6,974)
0.01 6,974
28 📉
(Org: 26)
(6,863)
- 6,863
29 📉
(Org: 27)
(6,727)
- 6,727
30 📉
(Org: 29)
(6,708)
0 6,708
31 ➡️
(Org: 31)
(6,582)
0.01 6,582
32 📈
(Org: 35)
(5,946)
0.11 5,946
33 📉
(Org: 32)
(5,714)
0 5,714
34 📉
(Org: 33)
(5,533)
0 5,533
35 📈
(Org: 39)
(5,511)
0.07 5,511
36 📉
(Org: 34)
(5,377)
0.01 5,377
37 📈
(Org: 38)
(5,321)
0.02 5,321
38 📉
(Org: 36)
(5,298)
0 5,298
39 📉
(Org: 37)
(5,276)
0 5,276
40 📈
(Org: 47)
(5,038)
0.17 5,038
41 ➡️
(Org: 41)
(5,035)
0.04 5,035
42 📈
(Org: 75)
(4,950)
0.5 4,950
43 📉
(Org: 40)
(4,905)
0 4,905
44 📉
(Org: 43)
(4,499)
0.02 4,499
45 📉
(Org: 42)
(4,486)
0.01 4,486
46 📉
(Org: 44)
(4,397)
0.01 4,397
47 📈
(Org: 48)
(4,336)
0.05 4,336
48 📉
(Org: 45)
(4,223)
- 4,223
49 📉
(Org: 46)
(4,195)
0 4,195
50 📈
(Org: 70)
(3,945)
0.33 3,945
51 📉
(Org: 50)
(3,944)
0.04 3,944
52 📈
(Org: 77)
(3,900)
0.38 3,900
53 📉
(Org: 49)
(3,899)
- 3,899
54 📉
(Org: 51)
(3,869)
0.02 3,869
55 📉
(Org: 52)
(3,775)
0 3,775
56 📉
(Org: 54)
(3,725)
0.03 3,725
57 📉
(Org: 53)
(3,677)
- 3,677
58 📉
(Org: 55)
(3,551)
0.03 3,551
59 📉
(Org: 56)
(3,454)
0.01 3,454
60 📉
(Org: 57)
(3,388)
- 3,388
61 📉
(Org: 58)
(3,362)
- 3,362
62 📉
(Org: 59)
(3,305)
0.01 3,305
63 📉
(Org: 60)
(3,281)
0.01 3,281
64 📉
(Org: 63)
(3,235)
0.07 3,235
65 📉
(Org: 64)
(3,192)
0.08 3,192
66 📉
(Org: 61)
(3,168)
0.01 3,168
67 📈
(Org: 99)
(3,156)
0.41 3,156
68 📉
(Org: 62)
(3,130)
- 3,130
69 📈
(Org: 73)
(3,089)
0.19 3,089
70 📈
(Org: 71)
(3,059)
0.15 3,059
71 📉
(Org: 65)
(2,841)
0.01 2,841
72 📉
(Org: 66)
(2,832)
0.03 2,832
73 📉
(Org: 67)
(2,777)
0.04 2,777
74 📉
(Org: 68)
(2,687)
0.01 2,687
75 📉
(Org: 69)
(2,645)
- 2,645
76 📉
(Org: 72)
(2,575)
0 2,575
77 📉
(Org: 74)
(2,505)
0 2,505
78 📈
(Org: 81)
(2,460)
0.02 2,460
79 📉
(Org: 78)
(2,428)
- 2,428
80 📉
(Org: 79)
(2,424)
- 2,424
81 📉
(Org: 80)
(2,419)
- 2,419
82 📈
(Org: 91)
(2,414)
0.13 2,414
82 📈
(Org: 90)
(2,414)
0.12 2,414
84 📈
(Org: 122)
(2,363)
0.4 2,363
85 ➡️
(Org: 85)
(2,336)
0.02 2,336
86 📉
(Org: 82)
(2,328)
0 2,328
87 📉
(Org: 85)
(2,313)
0.01 2,313
88 📉
(Org: 83)
(2,295)
- 2,295
89 📉
(Org: 84)
(2,291)
0 2,291
90 📉
(Org: 87)
(2,274)
- 2,274
91 📉
(Org: 88)
(2,255)
- 2,255
92 📉
(Org: 89)
(2,197)
0 2,197
93 📉
(Org: 91)
(2,175)
0.03 2,175
94 📈
(Org: 96)
(2,114)
0.05 2,114
95 ➡️
(Org: 95)
(2,105)
0.04 2,105
96 📉
(Org: 93)
(2,074)
0 2,074
97 📉
(Org: 94)
(2,058)
- 2,058
98 📈
(Org: 113)
(2,056)
0.22 2,056
99 📉
(Org: 97)
(1,974)
- 1,974
100 📉
(Org: 98)
(1,935)
- 1,935