Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1977 - 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)
(69,974)
0.03 69,974
2 ➡️
(Org: 2)
(56,487)
0.02 56,487
3 ➡️
(Org: 3)
(50,277)
0.07 50,277
4 📈
(Org: 8)
(40,820)
0.2 40,820
5 📉
(Org: 4)
(40,539)
0 40,539
6 📉
(Org: 5)
(40,051)
0 40,051
7 ➡️
(Org: 7)
(36,533)
0.06 36,533
8 📉
(Org: 6)
(34,222)
0 34,222
9 ➡️
(Org: 9)
(33,234)
0.04 33,234
10 ➡️
(Org: 10)
(26,825)
0.01 26,825
11 ➡️
(Org: 11)
(26,386)
0.01 26,386
12 📈
(Org: 23)
(26,125)
0.37 26,125
13 📉
(Org: 12)
(24,818)
0 24,818
14 📈
(Org: 17)
(24,237)
0.14 24,237
15 📈
(Org: 19)
(22,710)
0.23 22,710
16 📉
(Org: 13)
(22,603)
0.01 22,603
17 📉
(Org: 15)
(22,222)
0.03 22,222
18 📉
(Org: 14)
(22,199)
0.01 22,199
19 📉
(Org: 16)
(21,271)
0 21,271
20 📈
(Org: 37)
(20,297)
0.51 20,297
21 📈
(Org: 25)
(18,026)
0.14 18,026
22 📉
(Org: 18)
(17,981)
0 17,981
23 📉
(Org: 20)
(17,468)
0 17,468
24 📉
(Org: 22)
(16,872)
0.02 16,872
25 📉
(Org: 21)
(16,814)
0 16,814
26 📉
(Org: 24)
(16,018)
- 16,018
27 📉
(Org: 26)
(14,749)
0 14,749
28 📉
(Org: 27)
(14,408)
0.01 14,408
29 📉
(Org: 28)
(14,142)
0.13 14,142
30 📈
(Org: 36)
(12,539)
0.21 12,539
31 📉
(Org: 29)
(12,331)
0.02 12,331
32 📉
(Org: 30)
(12,132)
0.01 12,132
33 📉
(Org: 32)
(12,101)
0.04 12,101
34 📉
(Org: 31)
(11,804)
0 11,804
35 📈
(Org: 52)
(11,214)
0.46 11,214
36 📉
(Org: 33)
(11,042)
0 11,042
37 📉
(Org: 34)
(10,913)
0.01 10,913
38 📉
(Org: 35)
(10,156)
0.01 10,156
39 ➡️
(Org: 39)
(9,466)
0 9,466
40 📈
(Org: 41)
(8,553)
0.03 8,553
41 📉
(Org: 40)
(8,328)
0 8,328
42 📈
(Org: 80)
(7,536)
0.54 7,536
43 📈
(Org: 44)
(7,286)
0 7,286
44 📈
(Org: 70)
(7,134)
0.44 7,134
45 ➡️
(Org: 45)
(6,926)
0 6,926
46 ➡️
(Org: 46)
(6,866)
- 6,866
47 📈
(Org: 51)
(6,846)
0.11 6,846
48 📈
(Org: 54)
(6,843)
0.15 6,843
49 📉
(Org: 47)
(6,840)
- 6,840
50 📉
(Org: 48)
(6,656)
0.01 6,656
51 📉
(Org: 49)
(6,647)
0.03 6,647
52 📉
(Org: 50)
(6,278)
- 6,278
53 ➡️
(Org: 53)
(6,031)
0 6,031
54 ➡️
(Org: 54)
(5,841)
0 5,841
55 📈
(Org: 56)
(5,789)
- 5,789
56 📈
(Org: 57)
(5,672)
0.01 5,672
57 📈
(Org: 58)
(5,464)
0 5,464
58 📈
(Org: 59)
(5,361)
0.01 5,361
59 📈
(Org: 60)
(5,332)
0.01 5,332
60 📈
(Org: 61)
(5,095)
0.04 5,095
61 📈
(Org: 62)
(4,854)
0 4,854
62 📈
(Org: 64)
(4,663)
0.02 4,663
63 ➡️
(Org: 63)
(4,563)
- 4,563
64 📈
(Org: 66)
(4,480)
0.04 4,480
65 ➡️
(Org: 65)
(4,389)
0 4,389
66 📈
(Org: 68)
(4,287)
0.03 4,287
67 📈
(Org: 69)
(4,151)
- 4,151
68 📈
(Org: 82)
(3,960)
0.13 3,960
69 📈
(Org: 76)
(3,918)
0.05 3,918
70 📈
(Org: 71)
(3,895)
- 3,895
71 📈
(Org: 75)
(3,854)
0.03 3,854
72 ➡️
(Org: 72)
(3,847)
- 3,847
73 ➡️
(Org: 73)
(3,831)
0 3,831
74 ➡️
(Org: 74)
(3,794)
- 3,794
75 📈
(Org: 77)
(3,689)
0.01 3,689
76 📈
(Org: 99)
(3,592)
0.27 3,592
77 📈
(Org: 79)
(3,506)
- 3,506
78 📈
(Org: 81)
(3,495)
0.01 3,495
79 📈
(Org: 83)
(3,475)
0.01 3,475
80 📈
(Org: 85)
(3,437)
0 3,437
81 📈
(Org: 86)
(3,415)
0.01 3,415
82 📈
(Org: 87)
(3,357)
0 3,357
83 📈
(Org: 88)
(3,311)
0 3,311
84 📈
(Org: 89)
(3,210)
0.03 3,210
85 📈
(Org: 98)
(3,170)
0.17 3,170
86 📈
(Org: 108)
(3,159)
0.21 3,159
87 📈
(Org: 95)
(3,082)
0.1 3,082
88 📈
(Org: 91)
(3,054)
0.03 3,054
89 📈
(Org: 92)
(3,044)
0.03 3,044
90 📈
(Org: 100)
(2,904)
0.1 2,904
91 📈
(Org: 109)
(2,903)
0.14 2,903
92 📈
(Org: 102)
(2,864)
0.09 2,864
93 ➡️
(Org: 93)
(2,863)
0.02 2,863
94 📈
(Org: 96)
(2,710)
0 2,710
95 📈
(Org: 96)
(2,708)
0 2,708
96 📈
(Org: 136)
(2,703)
0.28 2,703
97 📈
(Org: 105)
(2,636)
0.04 2,636
98 📈
(Org: 156)
(2,585)
0.4 2,585
99 📈
(Org: 112)
(2,552)
0.08 2,552
100 📈
(Org: 104)
(2,550)
- 2,550