Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1952 - 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)
(87,066)
- 87,066
2 ➡️
(Org: 2)
(86,601)
0 86,601
3 ➡️
(Org: 3)
(85,320)
0.03 85,320
4 ➡️
(Org: 4)
(82,816)
0.05 82,816
5 ➡️
(Org: 5)
(71,760)
0 71,760
6 ➡️
(Org: 6)
(63,047)
0 63,047
7 ➡️
(Org: 7)
(58,373)
0 58,373
8 📈
(Org: 11)
(55,099)
0.42 55,099
9 📉
(Org: 8)
(48,857)
0 48,857
10 ➡️
(Org: 10)
(38,873)
0 38,873
10 📉
(Org: 9)
(38,873)
0 38,873
12 ➡️
(Org: 12)
(28,766)
0.01 28,766
13 📈
(Org: 14)
(28,313)
0 28,313
14 📉
(Org: 13)
(28,269)
- 28,269
15 ➡️
(Org: 15)
(27,863)
0 27,863
16 📈
(Org: 17)
(27,516)
0.07 27,516
17 📉
(Org: 16)
(25,932)
0 25,932
18 ➡️
(Org: 18)
(25,178)
0.02 25,178
19 ➡️
(Org: 19)
(24,303)
0 24,303
20 ➡️
(Org: 20)
(23,678)
0.01 23,678
21 📈
(Org: 22)
(19,842)
0 19,842
22 📈
(Org: 23)
(19,511)
0 19,511
23 📈
(Org: 24)
(15,246)
0 15,246
24 📈
(Org: 31)
(15,245)
0.21 15,245
25 📈
(Org: 26)
(14,781)
0.02 14,781
26 📉
(Org: 25)
(14,480)
- 14,480
27 ➡️
(Org: 27)
(14,178)
0 14,178
28 ➡️
(Org: 28)
(13,802)
0.01 13,802
29 📈
(Org: 30)
(12,694)
0.04 12,694
30 📉
(Org: 29)
(12,451)
0 12,451
31 📈
(Org: 35)
(11,497)
0.1 11,497
32 ➡️
(Org: 32)
(11,268)
- 11,268
33 ➡️
(Org: 33)
(11,240)
0 11,240
34 📈
(Org: 60)
(11,193)
0.45 11,193
35 📉
(Org: 34)
(11,186)
- 11,186
36 📈
(Org: 39)
(9,606)
0.06 9,606
37 📉
(Org: 36)
(9,592)
0 9,592
38 📈
(Org: 45)
(9,436)
0.17 9,436
39 📉
(Org: 37)
(9,225)
0.01 9,225
40 ➡️
(Org: 40)
(9,121)
0.03 9,121
41 📉
(Org: 38)
(9,088)
- 9,088
42 📉
(Org: 41)
(8,737)
0.01 8,737
43 📈
(Org: 61)
(8,436)
0.3 8,436
44 📉
(Org: 42)
(8,310)
- 8,310
45 📉
(Org: 43)
(7,958)
0.01 7,958
46 📉
(Org: 44)
(7,899)
- 7,899
47 📈
(Org: 81)
(7,551)
0.38 7,551
48 📉
(Org: 46)
(7,447)
0 7,447
49 📉
(Org: 47)
(7,294)
0.01 7,294
50 📉
(Org: 48)
(7,216)
0 7,216
50 📉
(Org: 49)
(7,216)
0.01 7,216
52 ➡️
(Org: 52)
(6,998)
0.01 6,998
53 📉
(Org: 50)
(6,995)
0 6,995
54 📈
(Org: 72)
(6,980)
0.24 6,980
55 📉
(Org: 51)
(6,965)
0 6,965
56 📉
(Org: 53)
(6,887)
0.02 6,887
57 📈
(Org: 82)
(6,858)
0.32 6,858
58 📈
(Org: 64)
(6,707)
0.14 6,707
59 📈
(Org: 62)
(6,637)
0.11 6,637
59 📉
(Org: 54)
(6,637)
0.01 6,637
61 📉
(Org: 55)
(6,584)
0.01 6,584
62 📉
(Org: 56)
(6,469)
- 6,469
63 📈
(Org: 76)
(6,428)
0.23 6,428
64 📉
(Org: 57)
(6,353)
0.01 6,353
65 📉
(Org: 59)
(6,251)
0.01 6,251
66 📉
(Org: 58)
(6,247)
0 6,247
67 📉
(Org: 65)
(5,943)
0.04 5,943
68 📉
(Org: 63)
(5,930)
0.01 5,930
69 📉
(Org: 67)
(5,698)
0.01 5,698
70 📉
(Org: 66)
(5,660)
- 5,660
71 📉
(Org: 68)
(5,573)
- 5,573
72 📉
(Org: 69)
(5,532)
0 5,532
73 📉
(Org: 70)
(5,524)
0.03 5,524
74 📉
(Org: 71)
(5,332)
0 5,332
75 📈
(Org: 79)
(5,266)
0.07 5,266
76 📉
(Org: 73)
(5,244)
- 5,244
77 ➡️
(Org: 77)
(5,117)
0.03 5,117
78 📉
(Org: 75)
(5,002)
0 5,002
79 📉
(Org: 78)
(4,956)
- 4,956
80 📈
(Org: 87)
(4,937)
0.17 4,937
81 📈
(Org: 83)
(4,763)
0.03 4,763
82 📉
(Org: 80)
(4,747)
0 4,747
83 📈
(Org: 84)
(4,403)
- 4,403
84 📈
(Org: 86)
(4,331)
0.04 4,331
85 ➡️
(Org: 85)
(4,313)
- 4,313
86 📈
(Org: 88)
(4,271)
0.07 4,271
87 📈
(Org: 89)
(4,024)
0.01 4,024
88 📈
(Org: 90)
(3,960)
- 3,960
89 📈
(Org: 91)
(3,938)
0 3,938
90 📈
(Org: 93)
(3,857)
0.06 3,857
91 📈
(Org: 112)
(3,771)
0.28 3,771
92 ➡️
(Org: 92)
(3,756)
0.03 3,756
93 📈
(Org: 95)
(3,575)
- 3,575
94 📈
(Org: 96)
(3,572)
- 3,572
95 📈
(Org: 98)
(3,556)
0.03 3,556
96 📈
(Org: 109)
(3,537)
0.19 3,537
97 ➡️
(Org: 97)
(3,527)
0 3,527
98 📈
(Org: 100)
(3,352)
0.03 3,352
99 ➡️
(Org: 99)
(3,322)
0 3,322
100 📈
(Org: 103)
(3,206)
0.02 3,206