Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1961 - 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)
(91,170)
0.05 91,170
2 ➡️
(Org: 2)
(84,825)
0 84,825
3 ➡️
(Org: 3)
(84,620)
0.05 84,620
4 ➡️
(Org: 4)
(75,965)
0 75,965
5 ➡️
(Org: 5)
(72,980)
0 72,980
6 ➡️
(Org: 6)
(60,503)
0.04 60,503
7 📈
(Org: 10)
(48,334)
0.33 48,334
8 📉
(Org: 7)
(48,086)
0 48,086
9 📈
(Org: 11)
(42,512)
0.25 42,512
10 📉
(Org: 8)
(41,172)
0 41,172
11 📉
(Org: 9)
(37,767)
0.01 37,767
12 ➡️
(Org: 12)
(29,762)
0.01 29,762
13 ➡️
(Org: 13)
(29,218)
0 29,218
14 ➡️
(Org: 14)
(29,032)
0 29,032
15 ➡️
(Org: 15)
(28,276)
0 28,276
16 📈
(Org: 20)
(28,001)
0.19 28,001
17 ➡️
(Org: 17)
(26,173)
0.01 26,173
18 📉
(Org: 16)
(26,123)
0 26,123
19 📉
(Org: 18)
(25,649)
0 25,649
20 📉
(Org: 19)
(24,404)
0.02 24,404
21 ➡️
(Org: 21)
(22,225)
0 22,225
22 📈
(Org: 23)
(21,492)
0.01 21,492
23 📉
(Org: 22)
(21,409)
- 21,409
24 ➡️
(Org: 24)
(20,882)
0 20,882
25 ➡️
(Org: 25)
(20,222)
0 20,222
26 ➡️
(Org: 26)
(17,488)
0.02 17,488
27 📈
(Org: 28)
(16,070)
0.01 16,070
28 📈
(Org: 29)
(15,882)
0 15,882
29 📈
(Org: 30)
(14,622)
0 14,622
30 📈
(Org: 31)
(13,683)
0 13,683
31 📈
(Org: 32)
(13,257)
0.01 13,257
32 📈
(Org: 44)
(12,823)
0.22 12,823
33 📈
(Org: 34)
(12,818)
0.02 12,818
34 📉
(Org: 33)
(12,686)
0.01 12,686
35 ➡️
(Org: 35)
(12,337)
0 12,337
36 📈
(Org: 38)
(11,790)
0.06 11,790
37 ➡️
(Org: 37)
(11,776)
0.03 11,776
38 📉
(Org: 36)
(11,673)
- 11,673
39 📈
(Org: 69)
(11,327)
0.47 11,327
40 📉
(Org: 39)
(11,087)
0 11,087
41 📉
(Org: 40)
(10,704)
- 10,704
42 📈
(Org: 43)
(10,467)
0.02 10,467
43 📉
(Org: 41)
(10,437)
0 10,437
44 📉
(Org: 42)
(10,357)
0 10,357
45 📈
(Org: 47)
(10,128)
0.05 10,128
46 📉
(Org: 45)
(10,005)
0 10,005
47 📈
(Org: 56)
(9,859)
0.26 9,859
48 📉
(Org: 46)
(9,753)
- 9,753
49 📉
(Org: 48)
(9,623)
0 9,623
50 📉
(Org: 49)
(9,536)
0.01 9,536
51 📈
(Org: 64)
(8,957)
0.3 8,957
52 📉
(Org: 51)
(8,612)
- 8,612
53 ➡️
(Org: 53)
(8,567)
0.03 8,567
54 📉
(Org: 52)
(8,483)
- 8,483
55 📉
(Org: 54)
(8,386)
0.02 8,386
56 📈
(Org: 57)
(7,869)
0.08 7,869
57 📈
(Org: 63)
(7,749)
0.15 7,749
58 📉
(Org: 55)
(7,526)
0.03 7,526
59 ➡️
(Org: 59)
(7,434)
0.05 7,434
60 📉
(Org: 58)
(7,231)
0.01 7,231
61 📈
(Org: 77)
(7,150)
0.25 7,150
62 ➡️
(Org: 62)
(7,091)
0.07 7,091
63 📉
(Org: 60)
(7,088)
0 7,088
64 📈
(Org: 80)
(7,051)
0.27 7,051
65 📈
(Org: 71)
(7,005)
0.18 7,005
66 📈
(Org: 67)
(6,828)
0.11 6,828
67 📉
(Org: 61)
(6,766)
0 6,766
68 📈
(Org: 92)
(6,656)
0.31 6,656
69 📉
(Org: 65)
(6,277)
0 6,277
70 📉
(Org: 66)
(6,247)
0 6,247
71 📉
(Org: 68)
(6,201)
0.03 6,201
72 📉
(Org: 70)
(5,989)
0.01 5,989
73 📈
(Org: 75)
(5,800)
0.06 5,800
74 📉
(Org: 72)
(5,665)
0 5,665
75 📈
(Org: 76)
(5,560)
0.03 5,560
76 📉
(Org: 73)
(5,483)
0 5,483
77 📉
(Org: 74)
(5,467)
- 5,467
78 ➡️
(Org: 78)
(5,356)
0 5,356
79 📈
(Org: 81)
(5,143)
0 5,143
80 📈
(Org: 83)
(5,001)
0.01 5,001
81 📈
(Org: 84)
(4,966)
0.01 4,966
82 📈
(Org: 101)
(4,957)
0.15 4,957
83 📈
(Org: 87)
(4,875)
0.03 4,875
84 📈
(Org: 86)
(4,854)
0.01 4,854
85 ➡️
(Org: 85)
(4,848)
0.01 4,848
86 📈
(Org: 88)
(4,760)
0.01 4,760
87 📈
(Org: 89)
(4,727)
0.01 4,727
88 📈
(Org: 90)
(4,701)
0.01 4,701
89 📈
(Org: 91)
(4,648)
0.01 4,648
90 📈
(Org: 111)
(4,541)
0.23 4,541
91 📈
(Org: 143)
(4,534)
0.45 4,534
92 📈
(Org: 94)
(4,454)
0 4,454
93 📈
(Org: 95)
(4,450)
0 4,450
94 📈
(Org: 96)
(4,388)
- 4,388
95 📈
(Org: 98)
(4,340)
0 4,340
96 📈
(Org: 117)
(4,335)
0.24 4,335
97 📈
(Org: 102)
(4,323)
0.06 4,323
98 📉
(Org: 97)
(4,320)
- 4,320
99 📈
(Org: 105)
(4,303)
0.08 4,303
100 📉
(Org: 99)
(4,299)
- 4,299