Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1945 - 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)
(74,466)
- 74,466
2 ➡️
(Org: 2)
(69,945)
- 69,945
3 ➡️
(Org: 3)
(68,196)
0.03 68,196
4 ➡️
(Org: 4)
(50,249)
0 50,249
5 ➡️
(Org: 5)
(46,050)
0 46,050
6 ➡️
(Org: 6)
(37,116)
0 37,116
7 ➡️
(Org: 7)
(32,479)
0 32,479
8 ➡️
(Org: 8)
(32,036)
0.01 32,036
9 ➡️
(Org: 9)
(30,905)
0.03 30,905
10 ➡️
(Org: 10)
(23,710)
0 23,710
11 ➡️
(Org: 11)
(22,892)
0 22,892
12 ➡️
(Org: 12)
(22,139)
- 22,139
13 ➡️
(Org: 13)
(21,407)
0 21,407
14 ➡️
(Org: 14)
(20,939)
0.01 20,939
15 ➡️
(Org: 15)
(19,345)
0 19,345
16 ➡️
(Org: 16)
(18,113)
0 18,113
17 ➡️
(Org: 17)
(17,022)
0 17,022
18 ➡️
(Org: 18)
(15,871)
- 15,871
19 ➡️
(Org: 19)
(15,317)
0.02 15,317
20 ➡️
(Org: 20)
(15,007)
0.02 15,007
21 📈
(Org: 26)
(14,613)
0.41 14,613
22 ➡️
(Org: 22)
(11,121)
0.05 11,121
23 📉
(Org: 21)
(10,874)
- 10,874
24 📉
(Org: 23)
(9,862)
0 9,862
25 📉
(Org: 24)
(9,788)
0.01 9,788
26 📉
(Org: 25)
(9,398)
0.06 9,398
27 📈
(Org: 41)
(8,479)
0.27 8,479
28 📈
(Org: 30)
(7,990)
0.1 7,990
29 📉
(Org: 27)
(7,574)
- 7,574
30 📉
(Org: 28)
(7,535)
0 7,535
31 📉
(Org: 29)
(7,475)
0.01 7,475
32 📈
(Org: 58)
(7,206)
0.43 7,206
33 📈
(Org: 39)
(7,098)
0.11 7,098
34 📉
(Org: 31)
(7,064)
0 7,064
35 📉
(Org: 32)
(6,877)
0 6,877
36 📉
(Org: 34)
(6,852)
0.01 6,852
37 📉
(Org: 33)
(6,833)
- 6,833
38 📉
(Org: 35)
(6,743)
0 6,743
39 📉
(Org: 36)
(6,658)
0 6,658
40 📉
(Org: 37)
(6,627)
0 6,627
41 📉
(Org: 38)
(6,490)
0 6,490
42 ➡️
(Org: 42)
(6,328)
0.05 6,328
43 📉
(Org: 40)
(6,243)
0.01 6,243
44 📈
(Org: 45)
(5,802)
0.02 5,802
45 📉
(Org: 44)
(5,792)
0 5,792
46 ➡️
(Org: 46)
(5,686)
- 5,686
47 ➡️
(Org: 47)
(5,655)
0 5,655
48 ➡️
(Org: 48)
(5,615)
- 5,615
49 📈
(Org: 67)
(5,442)
0.33 5,442
50 📉
(Org: 49)
(5,432)
- 5,432
51 📈
(Org: 53)
(5,322)
0.05 5,322
52 📉
(Org: 50)
(5,188)
0 5,188
53 📉
(Org: 51)
(5,125)
0 5,125
54 📉
(Org: 52)
(5,073)
- 5,073
55 ➡️
(Org: 55)
(4,827)
0.07 4,827
56 📈
(Org: 60)
(4,812)
0.17 4,812
57 📉
(Org: 54)
(4,768)
- 4,768
58 📉
(Org: 56)
(4,398)
0.05 4,398
59 📈
(Org: 77)
(4,339)
0.21 4,339
60 📉
(Org: 57)
(4,262)
0.03 4,262
61 📈
(Org: 72)
(4,158)
0.15 4,158
62 📈
(Org: 93)
(4,129)
0.34 4,129
63 📉
(Org: 59)
(4,069)
0 4,069
64 📉
(Org: 61)
(3,989)
0.01 3,989
65 📉
(Org: 64)
(3,983)
0.04 3,983
66 📉
(Org: 61)
(3,977)
0.01 3,977
67 📉
(Org: 63)
(3,873)
0.01 3,873
68 📉
(Org: 65)
(3,726)
- 3,726
69 📉
(Org: 66)
(3,711)
- 3,711
70 📈
(Org: 71)
(3,675)
0.03 3,675
71 📉
(Org: 68)
(3,624)
- 3,624
72 📈
(Org: 73)
(3,595)
0.03 3,595
73 📉
(Org: 69)
(3,592)
- 3,592
74 📉
(Org: 70)
(3,591)
- 3,591
75 📈
(Org: 91)
(3,549)
0.22 3,549
76 📉
(Org: 75)
(3,487)
0.01 3,487
77 📈
(Org: 78)
(3,486)
0.02 3,486
78 📉
(Org: 74)
(3,481)
- 3,481
79 📉
(Org: 76)
(3,448)
- 3,448
80 📉
(Org: 79)
(3,384)
- 3,384
81 ➡️
(Org: 81)
(3,370)
0.04 3,370
82 📉
(Org: 80)
(3,294)
- 3,294
83 📉
(Org: 82)
(3,196)
- 3,196
84 📉
(Org: 83)
(3,172)
- 3,172
84 ➡️
(Org: 84)
(3,172)
0.01 3,172
86 📈
(Org: 104)
(3,138)
0.3 3,138
87 ➡️
(Org: 87)
(3,020)
0.03 3,020
88 📉
(Org: 86)
(3,007)
- 3,007
89 ➡️
(Org: 89)
(2,909)
0.01 2,909
90 📉
(Org: 88)
(2,894)
- 2,894
91 📉
(Org: 90)
(2,828)
0 2,828
92 ➡️
(Org: 92)
(2,779)
0.01 2,779
93 📈
(Org: 94)
(2,664)
- 2,664
94 📈
(Org: 95)
(2,631)
- 2,631
95 📈
(Org: 100)
(2,529)
0.06 2,529
96 ➡️
(Org: 96)
(2,486)
0 2,486
97 ➡️
(Org: 97)
(2,474)
0.03 2,474
98 📈
(Org: 103)
(2,464)
0.1 2,464
99 📈
(Org: 101)
(2,425)
0.03 2,425
100 📉
(Org: 98)
(2,405)
0.01 2,405