Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1920 - 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)
(56,986)
0 56,986
2 ➡️
(Org: 2)
(50,244)
0 50,244
3 ➡️
(Org: 3)
(48,684)
0 48,684
4 ➡️
(Org: 4)
(47,908)
- 47,908
5 ➡️
(Org: 5)
(28,317)
0 28,317
6 ➡️
(Org: 6)
(26,946)
0 26,946
7 ➡️
(Org: 7)
(25,740)
0.01 25,740
8 ➡️
(Org: 8)
(20,097)
- 20,097
9 ➡️
(Org: 9)
(16,430)
- 16,430
10 📈
(Org: 11)
(15,050)
0.01 15,050
11 📉
(Org: 10)
(15,010)
- 15,010
12 ➡️
(Org: 12)
(13,712)
0 13,712
13 ➡️
(Org: 13)
(13,294)
- 13,294
14 ➡️
(Org: 14)
(12,607)
0 12,607
15 ➡️
(Org: 15)
(12,198)
0 12,198
16 ➡️
(Org: 16)
(11,941)
- 11,941
17 ➡️
(Org: 17)
(11,346)
0 11,346
18 ➡️
(Org: 18)
(10,279)
0 10,279
19 ➡️
(Org: 19)
(9,997)
- 9,997
20 ➡️
(Org: 20)
(9,656)
0.01 9,656
21 ➡️
(Org: 21)
(9,422)
0 9,422
22 ➡️
(Org: 22)
(8,564)
0 8,564
23 ➡️
(Org: 23)
(7,851)
0 7,851
24 📈
(Org: 27)
(7,534)
0.07 7,534
25 📉
(Org: 24)
(7,472)
0 7,472
26 📉
(Org: 25)
(7,444)
- 7,444
27 📈
(Org: 28)
(7,419)
0.06 7,419
28 📉
(Org: 26)
(7,228)
0 7,228
29 ➡️
(Org: 29)
(6,925)
0.01 6,925
30 📈
(Org: 31)
(6,898)
0.05 6,898
31 📉
(Org: 30)
(6,894)
0 6,894
32 📈
(Org: 37)
(6,666)
0.17 6,666
33 📈
(Org: 36)
(6,447)
0.11 6,447
34 📉
(Org: 32)
(6,443)
0.01 6,443
35 📉
(Org: 34)
(6,349)
0.02 6,349
36 📉
(Org: 33)
(6,307)
0 6,307
37 📉
(Org: 35)
(6,096)
0 6,096
38 ➡️
(Org: 38)
(5,755)
0.04 5,755
39 ➡️
(Org: 39)
(5,492)
- 5,492
40 ➡️
(Org: 40)
(5,323)
0 5,323
41 ➡️
(Org: 41)
(5,270)
0 5,270
42 ➡️
(Org: 42)
(5,006)
- 5,006
43 ➡️
(Org: 43)
(4,944)
- 4,944
44 ➡️
(Org: 44)
(4,705)
0.01 4,705
45 📈
(Org: 51)
(4,290)
0.09 4,290
46 ➡️
(Org: 46)
(4,208)
0.01 4,208
47 📉
(Org: 45)
(4,206)
- 4,206
48 📈
(Org: 50)
(4,185)
0.04 4,185
49 📉
(Org: 47)
(4,116)
0 4,116
50 📉
(Org: 48)
(4,066)
0 4,066
51 📈
(Org: 58)
(4,059)
0.15 4,059
52 📈
(Org: 79)
(4,032)
0.4 4,032
53 📉
(Org: 49)
(4,026)
- 4,026
54 📉
(Org: 52)
(3,929)
0.01 3,929
55 📈
(Org: 60)
(3,894)
0.16 3,894
56 📈
(Org: 80)
(3,787)
0.37 3,787
57 📉
(Org: 54)
(3,741)
0.01 3,741
58 📉
(Org: 53)
(3,734)
- 3,734
59 📉
(Org: 55)
(3,698)
- 3,698
60 📉
(Org: 56)
(3,549)
- 3,549
60 📈
(Org: 71)
(3,549)
0.24 3,549
62 📉
(Org: 57)
(3,497)
- 3,497
63 ➡️
(Org: 63)
(3,334)
0.03 3,334
64 📈
(Org: 102)
(3,317)
0.49 3,317
65 📉
(Org: 59)
(3,303)
0 3,303
66 📉
(Org: 61)
(3,291)
0.01 3,291
67 📈
(Org: 70)
(3,270)
0.15 3,270
68 📉
(Org: 62)
(3,244)
- 3,244
69 📉
(Org: 64)
(3,216)
0.02 3,216
70 📉
(Org: 65)
(3,144)
- 3,144
71 📉
(Org: 66)
(3,118)
0 3,118
72 📉
(Org: 67)
(3,110)
0.01 3,110
73 📉
(Org: 68)
(3,088)
0.01 3,088
74 📉
(Org: 69)
(3,074)
0 3,074
75 📉
(Org: 72)
(2,904)
0.07 2,904
76 📉
(Org: 73)
(2,666)
0 2,666
77 📉
(Org: 74)
(2,592)
- 2,592
78 📉
(Org: 75)
(2,560)
0 2,560
79 📉
(Org: 76)
(2,523)
- 2,523
80 📈
(Org: 99)
(2,470)
0.3 2,470
81 📉
(Org: 77)
(2,466)
0 2,466
82 📈
(Org: 83)
(2,446)
0.06 2,446
83 📉
(Org: 78)
(2,439)
- 2,439
84 📉
(Org: 82)
(2,354)
0.01 2,354
85 ➡️
(Org: 85)
(2,351)
0.03 2,351
86 📉
(Org: 81)
(2,349)
- 2,349
87 📉
(Org: 84)
(2,283)
- 2,283
88 📉
(Org: 87)
(2,230)
0.03 2,230
89 📈
(Org: 92)
(2,202)
0.14 2,202
90 📈
(Org: 96)
(2,189)
0.19 2,189
91 📉
(Org: 86)
(2,180)
- 2,180
92 📉
(Org: 88)
(2,089)
- 2,089
93 📉
(Org: 89)
(2,029)
- 2,029
94 📈
(Org: 95)
(2,007)
0.09 2,007
95 📉
(Org: 90)
(2,006)
- 2,006
96 📉
(Org: 91)
(1,911)
- 1,911
97 📈
(Org: 98)
(1,892)
0.08 1,892
98 📉
(Org: 93)
(1,884)
0 1,884
99 📉
(Org: 94)
(1,866)
- 1,866
100 📈
(Org: 107)
(1,787)
0.1 1,787