Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1996 - 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)
(39,687)
0.03 39,687
2 ➡️
(Org: 2)
(33,620)
0.05 33,620
3 📈
(Org: 4)
(32,942)
0.06 32,942
4 📉
(Org: 3)
(32,023)
0 32,023
5 📈
(Org: 6)
(31,776)
0.13 31,776
6 📉
(Org: 5)
(29,350)
0.01 29,350
7 ➡️
(Org: 7)
(27,560)
0.02 27,560
8 ➡️
(Org: 8)
(26,991)
0.04 26,991
9 ➡️
(Org: 9)
(26,207)
0.02 26,207
10 📈
(Org: 14)
(25,814)
0.13 25,814
11 ➡️
(Org: 11)
(25,309)
0.01 25,309
12 📉
(Org: 10)
(25,244)
- 25,244
13 📉
(Org: 12)
(24,892)
0.01 24,892
14 📈
(Org: 21)
(23,259)
0.2 23,259
15 ➡️
(Org: 15)
(23,084)
0.04 23,084
16 📉
(Org: 13)
(23,024)
- 23,024
17 📉
(Org: 16)
(21,884)
0 21,884
18 📉
(Org: 17)
(21,213)
0 21,213
19 📉
(Org: 18)
(20,564)
0 20,564
20 📉
(Org: 19)
(20,512)
0 20,512
21 📉
(Org: 20)
(20,384)
0.02 20,384
22 ➡️
(Org: 22)
(18,007)
0 18,007
23 ➡️
(Org: 23)
(17,676)
- 17,676
24 📈
(Org: 35)
(16,402)
0.29 16,402
25 📈
(Org: 36)
(16,400)
0.36 16,400
26 📈
(Org: 37)
(16,054)
0.36 16,054
27 📉
(Org: 24)
(15,823)
- 15,823
28 📈
(Org: 38)
(15,657)
0.38 15,657
29 📉
(Org: 25)
(15,640)
0 15,640
30 📈
(Org: 33)
(15,239)
0.21 15,239
31 📉
(Org: 26)
(14,807)
0.01 14,807
32 📉
(Org: 31)
(14,669)
0.12 14,669
33 📉
(Org: 27)
(14,650)
0.05 14,650
34 📉
(Org: 28)
(14,341)
0.04 14,341
35 📉
(Org: 29)
(13,927)
0.01 13,927
36 📉
(Org: 30)
(13,752)
0.01 13,752
37 📉
(Org: 34)
(12,521)
0.04 12,521
38 📉
(Org: 32)
(12,155)
- 12,155
39 📈
(Org: 46)
(12,137)
0.35 12,137
40 📉
(Org: 39)
(9,579)
0 9,579
41 📈
(Org: 54)
(9,490)
0.27 9,490
42 📉
(Org: 41)
(9,343)
0.07 9,343
43 📈
(Org: 48)
(9,279)
0.19 9,279
44 📉
(Org: 40)
(8,932)
0 8,932
45 📉
(Org: 42)
(8,393)
0 8,393
46 📉
(Org: 44)
(8,275)
0.01 8,275
47 📉
(Org: 43)
(8,247)
- 8,247
48 📈
(Org: 51)
(8,218)
0.14 8,218
49 📉
(Org: 45)
(8,185)
0 8,185
50 📉
(Org: 49)
(8,117)
0.09 8,117
51 📈
(Org: 55)
(7,919)
0.17 7,919
52 📉
(Org: 47)
(7,603)
- 7,603
53 📈
(Org: 94)
(7,317)
0.44 7,317
54 📉
(Org: 50)
(7,199)
0 7,199
55 📉
(Org: 52)
(7,019)
0 7,019
56 📈
(Org: 72)
(6,959)
0.24 6,959
57 📉
(Org: 53)
(6,926)
0 6,926
58 📉
(Org: 57)
(6,835)
0.06 6,835
59 📈
(Org: 101)
(6,626)
0.41 6,626
60 📉
(Org: 56)
(6,593)
0.03 6,593
61 📈
(Org: 115)
(6,565)
0.49 6,565
62 📉
(Org: 60)
(6,308)
0.05 6,308
63 📈
(Org: 64)
(6,288)
0.07 6,288
64 📉
(Org: 58)
(6,282)
0.03 6,282
65 📉
(Org: 63)
(6,095)
0.04 6,095
66 📈
(Org: 71)
(6,021)
0.12 6,021
67 📉
(Org: 61)
(5,971)
0.01 5,971
68 📉
(Org: 62)
(5,869)
0 5,869
69 📉
(Org: 68)
(5,645)
0.03 5,645
70 ➡️
(Org: 70)
(5,628)
0.04 5,628
71 📉
(Org: 65)
(5,585)
0 5,585
72 📉
(Org: 67)
(5,464)
- 5,464
73 📈
(Org: 85)
(5,442)
0.14 5,442
74 📈
(Org: 76)
(5,217)
0.04 5,217
75 📉
(Org: 73)
(5,159)
- 5,159
75 📈
(Org: 86)
(5,159)
0.12 5,159
77 📉
(Org: 74)
(5,114)
- 5,114
78 📉
(Org: 75)
(5,108)
0.02 5,108
79 📈
(Org: 83)
(5,024)
0.05 5,024
80 📉
(Org: 77)
(4,982)
0 4,982
81 📉
(Org: 79)
(4,981)
0.02 4,981
82 ➡️
(Org: 82)
(4,976)
0.04 4,976
83 📉
(Org: 80)
(4,890)
0 4,890
84 📉
(Org: 81)
(4,888)
0.01 4,888
85 📉
(Org: 78)
(4,883)
- 4,883
86 📈
(Org: 93)
(4,776)
0.14 4,776
87 📉
(Org: 84)
(4,769)
0 4,769
88 ➡️
(Org: 88)
(4,729)
0.07 4,729
89 📈
(Org: 105)
(4,671)
0.19 4,671
90 📉
(Org: 87)
(4,547)
- 4,547
91 📉
(Org: 89)
(4,384)
0.03 4,384
92 📉
(Org: 91)
(4,195)
0.01 4,195
93 📈
(Org: 97)
(4,193)
0.04 4,193
94 📉
(Org: 90)
(4,180)
- 4,180
95 📈
(Org: 150)
(4,126)
0.44 4,126
96 📈
(Org: 99)
(4,117)
0.03 4,117
97 📉
(Org: 92)
(4,109)
- 4,109
98 📉
(Org: 95)
(4,097)
0 4,097
99 📉
(Org: 96)
(4,073)
- 4,073
100 📉
(Org: 98)
(4,067)
0.02 4,067