Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1936 - 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)
(58,501)
- 58,501
2 ➡️
(Org: 2)
(54,696)
- 54,696
3 ➡️
(Org: 3)
(48,519)
0.02 48,519
4 ➡️
(Org: 4)
(39,428)
0 39,428
5 ➡️
(Org: 5)
(33,492)
- 33,492
6 ➡️
(Org: 6)
(29,115)
0 29,115
7 ➡️
(Org: 7)
(28,640)
- 28,640
8 ➡️
(Org: 8)
(18,487)
0.01 18,487
9 ➡️
(Org: 9)
(18,229)
0 18,229
10 📈
(Org: 11)
(17,550)
0.01 17,550
11 📉
(Org: 10)
(17,477)
- 17,477
12 ➡️
(Org: 12)
(16,928)
0 16,928
13 ➡️
(Org: 13)
(14,194)
- 14,194
14 ➡️
(Org: 14)
(12,504)
0 12,504
15 ➡️
(Org: 15)
(12,324)
0 12,324
16 ➡️
(Org: 16)
(10,186)
- 10,186
17 ➡️
(Org: 17)
(9,463)
0 9,463
18 📈
(Org: 22)
(9,432)
0.09 9,432
19 ➡️
(Org: 19)
(9,422)
0.04 9,422
20 📉
(Org: 18)
(9,417)
0.02 9,417
21 📉
(Org: 20)
(8,895)
0 8,895
22 📉
(Org: 21)
(8,640)
0 8,640
23 📈
(Org: 24)
(8,384)
0.08 8,384
24 📉
(Org: 23)
(8,045)
0 8,045
25 ➡️
(Org: 25)
(7,648)
0 7,648
26 ➡️
(Org: 26)
(7,536)
- 7,536
27 ➡️
(Org: 27)
(7,446)
0.11 7,446
28 📈
(Org: 46)
(6,975)
0.4 6,975
29 📉
(Org: 28)
(6,478)
0 6,478
30 📉
(Org: 29)
(6,389)
0 6,389
31 📉
(Org: 30)
(6,310)
0.01 6,310
32 ➡️
(Org: 32)
(6,046)
0.01 6,046
33 📉
(Org: 31)
(6,029)
- 6,029
34 📈
(Org: 37)
(5,981)
0.11 5,981
35 📉
(Org: 33)
(5,939)
0.02 5,939
36 📉
(Org: 35)
(5,932)
0.04 5,932
37 📉
(Org: 34)
(5,759)
- 5,759
38 📉
(Org: 36)
(5,602)
- 5,602
39 📉
(Org: 38)
(5,205)
0 5,205
40 📉
(Org: 39)
(4,939)
0 4,939
41 📈
(Org: 63)
(4,892)
0.38 4,892
42 📉
(Org: 41)
(4,884)
0.01 4,884
43 📉
(Org: 40)
(4,879)
0 4,879
44 📉
(Org: 41)
(4,859)
0.01 4,859
45 📉
(Org: 44)
(4,779)
0.08 4,779
46 📉
(Org: 43)
(4,653)
0 4,653
47 📈
(Org: 55)
(4,530)
0.18 4,530
48 📉
(Org: 45)
(4,408)
- 4,408
49 📉
(Org: 47)
(4,264)
0.04 4,264
50 📉
(Org: 48)
(3,978)
- 3,978
51 📉
(Org: 49)
(3,947)
0 3,947
52 📉
(Org: 50)
(3,940)
0.02 3,940
53 📉
(Org: 51)
(3,907)
0.02 3,907
54 ➡️
(Org: 54)
(3,898)
0.05 3,898
55 📉
(Org: 53)
(3,850)
0.03 3,850
56 📉
(Org: 52)
(3,777)
0 3,777
57 📈
(Org: 80)
(3,769)
0.38 3,769
58 📉
(Org: 56)
(3,719)
0 3,719
59 📉
(Org: 57)
(3,644)
- 3,644
60 📈
(Org: 70)
(3,598)
0.22 3,598
61 📉
(Org: 58)
(3,503)
0 3,503
62 📉
(Org: 59)
(3,416)
0.01 3,416
63 📉
(Org: 60)
(3,252)
- 3,252
64 📉
(Org: 61)
(3,166)
- 3,166
65 📉
(Org: 62)
(3,133)
0.01 3,133
66 ➡️
(Org: 66)
(3,088)
0.06 3,088
67 📉
(Org: 64)
(3,016)
0.03 3,016
68 📈
(Org: 69)
(3,006)
0.06 3,006
69 📉
(Org: 64)
(2,957)
0.01 2,957
70 📉
(Org: 67)
(2,938)
0.02 2,938
71 📉
(Org: 68)
(2,880)
0.01 2,880
72 📈
(Org: 104)
(2,846)
0.36 2,846
73 📉
(Org: 72)
(2,825)
0.03 2,825
74 ➡️
(Org: 74)
(2,793)
0.06 2,793
75 ➡️
(Org: 75)
(2,633)
0.03 2,633
76 📉
(Org: 73)
(2,630)
- 2,630
77 📈
(Org: 88)
(2,534)
0.15 2,534
78 📉
(Org: 76)
(2,472)
0.02 2,472
79 ➡️
(Org: 79)
(2,428)
0.03 2,428
80 📉
(Org: 78)
(2,421)
0.02 2,421
81 📉
(Org: 77)
(2,408)
- 2,408
82 📈
(Org: 87)
(2,328)
0.05 2,328
83 📉
(Org: 81)
(2,314)
- 2,314
84 📈
(Org: 99)
(2,305)
0.19 2,305
85 📉
(Org: 82)
(2,282)
- 2,282
86 📉
(Org: 83)
(2,276)
- 2,276
87 📉
(Org: 84)
(2,271)
- 2,271
88 📉
(Org: 85)
(2,268)
- 2,268
89 📉
(Org: 86)
(2,246)
0.01 2,246
90 📉
(Org: 89)
(2,167)
0.01 2,167
91 📉
(Org: 90)
(2,140)
0 2,140
92 📉
(Org: 91)
(2,118)
0.01 2,118
93 📉
(Org: 92)
(2,106)
- 2,106
94 📈
(Org: 100)
(2,084)
0.11 2,084
95 📈
(Org: 103)
(2,075)
0.11 2,075
96 📉
(Org: 93)
(2,028)
- 2,028
97 📉
(Org: 96)
(2,018)
0.02 2,018
98 📉
(Org: 94)
(2,017)
- 2,017
99 📈
(Org: 137)
(2,007)
0.43 2,007
100 📉
(Org: 95)
(1,976)
- 1,976