Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1968 - 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)
(84,722)
0.03 84,722
2 📈
(Org: 3)
(65,167)
0.07 65,167
3 📉
(Org: 2)
(63,708)
0 63,708
4 ➡️
(Org: 4)
(60,671)
0 60,671
5 ➡️
(Org: 5)
(58,196)
0 58,196
6 📈
(Org: 15)
(40,267)
0.37 40,267
7 ➡️
(Org: 7)
(38,940)
0.09 38,940
8 📈
(Org: 11)
(37,097)
0.24 37,097
9 📉
(Org: 6)
(36,995)
0 36,995
10 ➡️
(Org: 10)
(36,675)
0.18 36,675
11 📉
(Org: 8)
(33,017)
0 33,017
12 📉
(Org: 9)
(32,018)
0.02 32,018
13 📉
(Org: 12)
(27,650)
0.01 27,650
14 ➡️
(Org: 14)
(26,579)
0.02 26,579
15 📉
(Org: 13)
(26,523)
0 26,523
16 ➡️
(Org: 16)
(25,614)
0.01 25,614
17 ➡️
(Org: 17)
(24,013)
0.01 24,013
18 ➡️
(Org: 18)
(22,250)
0.01 22,250
19 ➡️
(Org: 19)
(21,875)
0 21,875
20 ➡️
(Org: 20)
(21,575)
0 21,575
21 📈
(Org: 22)
(21,377)
0.13 21,377
22 📉
(Org: 21)
(20,239)
0 20,239
23 ➡️
(Org: 23)
(18,101)
0 18,101
24 📈
(Org: 37)
(17,743)
0.48 17,743
25 📉
(Org: 24)
(16,454)
0.04 16,454
26 ➡️
(Org: 26)
(15,498)
0.01 15,498
27 📉
(Org: 25)
(15,437)
0 15,437
28 ➡️
(Org: 28)
(14,659)
- 14,659
29 ➡️
(Org: 29)
(13,360)
- 13,360
30 ➡️
(Org: 30)
(13,086)
0 13,086
31 ➡️
(Org: 31)
(12,281)
0 12,281
32 ➡️
(Org: 32)
(12,003)
0 12,003
33 ➡️
(Org: 33)
(11,518)
0.01 11,518
34 ➡️
(Org: 34)
(10,565)
- 10,565
35 ➡️
(Org: 35)
(9,939)
0.01 9,939
36 ➡️
(Org: 36)
(9,432)
0.01 9,432
37 📈
(Org: 38)
(8,258)
0 8,258
38 📈
(Org: 39)
(8,141)
0 8,141
39 📈
(Org: 41)
(8,126)
0.03 8,126
40 ➡️
(Org: 40)
(7,983)
0 7,983
41 📈
(Org: 44)
(7,674)
0.03 7,674
42 📈
(Org: 71)
(7,669)
0.48 7,669
43 📈
(Org: 45)
(7,627)
0.03 7,627
44 📉
(Org: 42)
(7,513)
0 7,513
45 📈
(Org: 47)
(7,312)
0.02 7,312
46 📈
(Org: 48)
(7,139)
0.01 7,139
47 📈
(Org: 50)
(6,897)
0 6,897
48 📈
(Org: 49)
(6,892)
- 6,892
49 📈
(Org: 53)
(6,514)
0.11 6,514
50 📈
(Org: 59)
(6,285)
0.26 6,285
51 📈
(Org: 52)
(6,054)
0.03 6,054
52 📈
(Org: 54)
(5,749)
0.01 5,749
53 📈
(Org: 116)
(5,508)
0.53 5,508
54 📈
(Org: 55)
(5,481)
0.05 5,481
55 📈
(Org: 56)
(5,268)
0.03 5,268
56 📈
(Org: 60)
(5,145)
0.1 5,145
57 📈
(Org: 70)
(5,059)
0.2 5,059
58 📉
(Org: 57)
(4,938)
0.03 4,938
59 📈
(Org: 92)
(4,912)
0.34 4,912
60 📈
(Org: 62)
(4,844)
0.08 4,844
61 📉
(Org: 58)
(4,798)
0 4,798
62 📈
(Org: 77)
(4,674)
0.18 4,674
63 📈
(Org: 64)
(4,615)
0.08 4,615
64 📈
(Org: 67)
(4,543)
0.1 4,543
65 📉
(Org: 61)
(4,486)
- 4,486
66 📈
(Org: 79)
(4,342)
0.14 4,342
67 📈
(Org: 115)
(4,333)
0.4 4,333
68 📉
(Org: 63)
(4,253)
- 4,253
69 📈
(Org: 75)
(4,171)
0.08 4,171
70 📉
(Org: 66)
(4,162)
0.01 4,162
71 📈
(Org: 138)
(4,153)
0.5 4,153
72 📉
(Org: 69)
(4,150)
0.02 4,150
73 📉
(Org: 68)
(4,083)
0 4,083
74 📉
(Org: 72)
(4,080)
0.02 4,080
75 📈
(Org: 86)
(4,035)
0.15 4,035
76 📉
(Org: 73)
(4,011)
0.01 4,011
77 📉
(Org: 74)
(3,976)
- 3,976
78 📉
(Org: 76)
(3,972)
0.04 3,972
79 📉
(Org: 78)
(3,833)
0.01 3,833
80 📈
(Org: 140)
(3,796)
0.46 3,796
81 ➡️
(Org: 81)
(3,750)
0.03 3,750
82 📈
(Org: 105)
(3,741)
0.22 3,741
83 📉
(Org: 80)
(3,683)
- 3,683
84 📈
(Org: 88)
(3,603)
0.05 3,603
85 📉
(Org: 83)
(3,589)
- 3,589
86 📉
(Org: 85)
(3,543)
0.01 3,543
87 📈
(Org: 113)
(3,517)
0.26 3,517
88 📉
(Org: 87)
(3,448)
0.01 3,448
89 ➡️
(Org: 89)
(3,409)
- 3,409
90 ➡️
(Org: 90)
(3,311)
0.01 3,311
91 ➡️
(Org: 91)
(3,257)
- 3,257
92 📈
(Org: 97)
(3,245)
0.06 3,245
93 ➡️
(Org: 93)
(3,216)
- 3,216
94 ➡️
(Org: 94)
(3,200)
0.01 3,200
95 📈
(Org: 96)
(3,153)
0.01 3,153
96 📈
(Org: 123)
(3,138)
0.22 3,138
97 📉
(Org: 95)
(3,137)
0 3,137
98 📈
(Org: 111)
(3,128)
0.15 3,128
99 ➡️
(Org: 99)
(3,070)
0.02 3,070
100 📉
(Org: 98)
(3,068)
0.01 3,068