Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1926 - 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)
(61,142)
0 61,142
2 ➡️
(Org: 2)
(56,203)
0 56,203
3 ➡️
(Org: 3)
(53,197)
- 53,197
4 ➡️
(Org: 4)
(52,030)
0 52,030
5 ➡️
(Org: 5)
(29,541)
0 29,541
6 ➡️
(Org: 6)
(25,962)
0 25,962
7 ➡️
(Org: 7)
(25,143)
- 25,143
8 ➡️
(Org: 8)
(23,935)
0.01 23,935
9 ➡️
(Org: 9)
(20,912)
- 20,912
10 ➡️
(Org: 10)
(19,375)
- 19,375
11 ➡️
(Org: 11)
(16,741)
0.01 16,741
12 ➡️
(Org: 12)
(14,493)
- 14,493
13 ➡️
(Org: 13)
(13,681)
0 13,681
14 ➡️
(Org: 14)
(13,354)
0 13,354
15 ➡️
(Org: 15)
(12,821)
0 12,821
16 ➡️
(Org: 16)
(12,244)
0 12,244
17 ➡️
(Org: 17)
(11,774)
- 11,774
18 ➡️
(Org: 18)
(10,353)
0 10,353
19 ➡️
(Org: 19)
(10,050)
0.01 10,050
20 ➡️
(Org: 20)
(9,521)
0.01 9,521
21 ➡️
(Org: 21)
(9,146)
- 9,146
22 📈
(Org: 23)
(9,047)
0 9,047
23 📉
(Org: 22)
(9,041)
- 9,041
24 ➡️
(Org: 24)
(8,465)
0 8,465
25 ➡️
(Org: 25)
(8,236)
0 8,236
26 ➡️
(Org: 26)
(7,564)
0.08 7,564
27 📈
(Org: 30)
(6,970)
0.07 6,970
28 ➡️
(Org: 28)
(6,856)
0.01 6,856
29 📉
(Org: 27)
(6,843)
0 6,843
30 📈
(Org: 32)
(6,690)
0.04 6,690
31 📈
(Org: 37)
(6,585)
0.17 6,585
32 📉
(Org: 29)
(6,543)
0 6,543
33 📉
(Org: 31)
(6,460)
0 6,460
34 📈
(Org: 36)
(6,408)
0.13 6,408
35 📈
(Org: 40)
(6,356)
0.19 6,356
36 📉
(Org: 33)
(6,350)
0 6,350
37 📉
(Org: 34)
(6,317)
0.01 6,317
38 📉
(Org: 35)
(5,903)
0.02 5,903
39 📉
(Org: 38)
(5,642)
0.04 5,642
40 📉
(Org: 39)
(5,289)
0 5,289
41 ➡️
(Org: 41)
(5,253)
0.02 5,253
42 ➡️
(Org: 42)
(5,058)
- 5,058
43 ➡️
(Org: 43)
(4,985)
0 4,985
44 ➡️
(Org: 44)
(4,952)
0 4,952
45 ➡️
(Org: 45)
(4,726)
- 4,726
46 ➡️
(Org: 46)
(4,561)
0.01 4,561
47 ➡️
(Org: 47)
(4,237)
0.01 4,237
48 ➡️
(Org: 48)
(4,217)
0.01 4,217
49 ➡️
(Org: 49)
(4,210)
0.01 4,210
50 📈
(Org: 75)
(4,154)
0.37 4,154
51 📈
(Org: 52)
(4,122)
0.08 4,122
52 📉
(Org: 50)
(4,111)
- 4,111
53 📈
(Org: 60)
(3,945)
0.17 3,945
54 📉
(Org: 51)
(3,808)
- 3,808
55 📈
(Org: 87)
(3,804)
0.4 3,804
55 📈
(Org: 64)
(3,804)
0.18 3,804
57 📈
(Org: 70)
(3,743)
0.28 3,743
58 📉
(Org: 53)
(3,634)
0 3,634
59 📉
(Org: 56)
(3,618)
0.04 3,618
60 📉
(Org: 54)
(3,564)
0 3,564
61 📉
(Org: 55)
(3,491)
- 3,491
62 📉
(Org: 57)
(3,443)
0.01 3,443
63 📉
(Org: 58)
(3,359)
- 3,359
64 📉
(Org: 59)
(3,344)
- 3,344
65 📉
(Org: 63)
(3,241)
0.03 3,241
66 📉
(Org: 61)
(3,233)
- 3,233
67 📉
(Org: 62)
(3,201)
0 3,201
68 📉
(Org: 65)
(3,014)
- 3,014
69 📉
(Org: 66)
(2,960)
0 2,960
70 📈
(Org: 110)
(2,955)
0.45 2,955
71 📉
(Org: 67)
(2,901)
0.01 2,901
72 📈
(Org: 81)
(2,850)
0.14 2,850
73 📉
(Org: 68)
(2,817)
0 2,817
74 📉
(Org: 69)
(2,804)
0 2,804
75 📈
(Org: 82)
(2,759)
0.11 2,759
76 ➡️
(Org: 76)
(2,701)
0.03 2,701
76 📉
(Org: 71)
(2,701)
- 2,701
78 📉
(Org: 72)
(2,693)
- 2,693
79 📉
(Org: 74)
(2,648)
0 2,648
80 📉
(Org: 73)
(2,647)
- 2,647
81 📉
(Org: 77)
(2,550)
0 2,550
82 📉
(Org: 78)
(2,544)
0 2,544
83 📉
(Org: 79)
(2,534)
- 2,534
84 📈
(Org: 115)
(2,498)
0.36 2,498
85 📉
(Org: 80)
(2,493)
- 2,493
86 📉
(Org: 83)
(2,418)
- 2,418
87 📉
(Org: 84)
(2,417)
0.01 2,417
88 📈
(Org: 91)
(2,381)
0.13 2,381
89 📈
(Org: 104)
(2,374)
0.27 2,374
90 📉
(Org: 89)
(2,349)
0.04 2,349
90 📉
(Org: 85)
(2,349)
0.02 2,349
92 📉
(Org: 86)
(2,313)
0 2,313
93 📉
(Org: 88)
(2,283)
- 2,283
94 📉
(Org: 90)
(2,204)
0.03 2,204
95 📈
(Org: 96)
(2,070)
0.05 2,070
96 📈
(Org: 116)
(2,038)
0.22 2,038
97 📈
(Org: 98)
(2,036)
0.07 2,036
98 📉
(Org: 92)
(2,033)
- 2,033
99 📉
(Org: 93)
(2,021)
- 2,021
100 📉
(Org: 94)
(2,016)
- 2,016