Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1973 - 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)
(70,423)
0.04 70,423
2 ➡️
(Org: 2)
(50,163)
0.04 50,163
3 ➡️
(Org: 3)
(47,497)
0.02 47,497
4 📈
(Org: 8)
(43,326)
0.18 43,326
5 📉
(Org: 4)
(42,857)
0 42,857
6 ➡️
(Org: 6)
(42,008)
0.07 42,008
7 📉
(Org: 5)
(41,102)
0 41,102
8 📉
(Org: 7)
(38,698)
- 38,698
9 ➡️
(Org: 9)
(28,078)
0 28,078
10 📈
(Org: 20)
(27,143)
0.37 27,143
11 📉
(Org: 10)
(25,579)
0.04 25,579
12 📈
(Org: 17)
(24,966)
0.23 24,966
13 ➡️
(Org: 13)
(24,601)
0.15 24,601
14 📉
(Org: 11)
(24,035)
0.02 24,035
15 ➡️
(Org: 15)
(23,652)
0.14 23,652
16 📉
(Org: 12)
(21,575)
0.01 21,575
17 📈
(Org: 27)
(21,103)
0.46 21,103
18 📉
(Org: 14)
(20,887)
0.01 20,887
19 📉
(Org: 16)
(19,968)
0 19,968
20 📉
(Org: 18)
(19,325)
0.02 19,325
21 📉
(Org: 19)
(18,174)
0.01 18,174
22 📉
(Org: 21)
(16,423)
0 16,423
23 📉
(Org: 22)
(16,051)
0 16,051
24 📉
(Org: 23)
(15,762)
0 15,762
25 ➡️
(Org: 25)
(12,972)
0.01 12,972
26 📉
(Org: 24)
(12,910)
0 12,910
27 📉
(Org: 26)
(11,757)
0.01 11,757
28 📈
(Org: 31)
(11,710)
0.12 11,710
29 📉
(Org: 28)
(10,994)
0 10,994
30 📉
(Org: 29)
(10,729)
- 10,729
31 📉
(Org: 30)
(10,518)
0 10,518
32 📈
(Org: 33)
(9,662)
0.03 9,662
33 📈
(Org: 34)
(9,646)
0.04 9,646
34 📈
(Org: 35)
(8,678)
- 8,678
35 📈
(Org: 37)
(8,526)
0.01 8,526
36 📈
(Org: 38)
(8,361)
- 8,361
37 📈
(Org: 39)
(8,359)
- 8,359
38 📈
(Org: 40)
(8,334)
0 8,334
39 📈
(Org: 41)
(8,237)
0.01 8,237
40 📈
(Org: 42)
(8,086)
0 8,086
41 📈
(Org: 69)
(7,554)
0.48 7,554
42 📈
(Org: 71)
(6,909)
0.44 6,909
43 📈
(Org: 44)
(6,880)
0 6,880
44 📈
(Org: 45)
(6,852)
0 6,852
45 📈
(Org: 47)
(6,672)
0.01 6,672
46 ➡️
(Org: 46)
(6,663)
0.01 6,663
47 📈
(Org: 48)
(6,440)
0.02 6,440
48 📈
(Org: 63)
(6,179)
0.23 6,179
49 📈
(Org: 51)
(6,133)
0.01 6,133
50 ➡️
(Org: 50)
(6,101)
0 6,101
50 📉
(Org: 49)
(6,101)
0 6,101
52 📈
(Org: 54)
(5,976)
0.04 5,976
53 📉
(Org: 52)
(5,926)
0 5,926
54 📉
(Org: 53)
(5,872)
0 5,872
55 📈
(Org: 89)
(5,542)
0.46 5,542
56 ➡️
(Org: 56)
(5,312)
0.03 5,312
57 📉
(Org: 55)
(5,307)
0.02 5,307
58 📉
(Org: 57)
(5,235)
0.03 5,235
59 📉
(Org: 58)
(5,218)
0.03 5,218
60 📉
(Org: 59)
(5,071)
0 5,071
61 📈
(Org: 62)
(4,898)
0.03 4,898
62 📉
(Org: 60)
(4,845)
0 4,845
63 📉
(Org: 61)
(4,784)
- 4,784
64 📈
(Org: 70)
(4,450)
0.12 4,450
65 ➡️
(Org: 65)
(4,416)
0.01 4,416
66 ➡️
(Org: 66)
(4,317)
0.01 4,317
67 📈
(Org: 75)
(4,235)
0.19 4,235
68 📉
(Org: 67)
(4,087)
- 4,087
69 📉
(Org: 68)
(4,059)
- 4,059
70 📈
(Org: 90)
(4,024)
0.25 4,024
71 📈
(Org: 72)
(3,715)
- 3,715
72 📈
(Org: 76)
(3,586)
0.04 3,586
73 ➡️
(Org: 73)
(3,575)
0 3,575
74 📈
(Org: 88)
(3,572)
0.15 3,572
75 📈
(Org: 84)
(3,571)
0.12 3,571
76 📉
(Org: 74)
(3,568)
- 3,568
77 ➡️
(Org: 77)
(3,527)
0.04 3,527
78 ➡️
(Org: 78)
(3,450)
0.03 3,450
79 📈
(Org: 95)
(3,401)
0.2 3,401
80 📉
(Org: 79)
(3,364)
0.01 3,364
81 📈
(Org: 82)
(3,337)
0.02 3,337
82 📈
(Org: 84)
(3,329)
0.05 3,329
83 📉
(Org: 80)
(3,302)
0 3,302
84 📉
(Org: 83)
(3,271)
0.03 3,271
85 📈
(Org: 96)
(3,118)
0.13 3,118
86 📈
(Org: 136)
(3,079)
0.38 3,079
87 📈
(Org: 120)
(3,048)
0.28 3,048
88 📈
(Org: 114)
(3,021)
0.25 3,021
89 📈
(Org: 93)
(2,980)
0.03 2,980
90 📈
(Org: 92)
(2,978)
0 2,978
91 📈
(Org: 98)
(2,941)
0.09 2,941
92 📈
(Org: 102)
(2,883)
0.1 2,883
93 📈
(Org: 104)
(2,795)
0.1 2,795
94 📈
(Org: 99)
(2,725)
0.01 2,725
95 📈
(Org: 97)
(2,693)
- 2,693
96 📈
(Org: 100)
(2,666)
0.01 2,666
97 📈
(Org: 133)
(2,641)
0.27 2,641
98 📈
(Org: 101)
(2,627)
- 2,627
99 📈
(Org: 103)
(2,578)
- 2,578
100 📈
(Org: 146)
(2,569)
0.34 2,569