Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1956 - 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)
(95,652)
0.05 95,652
2 ➡️
(Org: 2)
(84,903)
- 84,903
3 ➡️
(Org: 3)
(83,940)
0 83,940
4 📈
(Org: 5)
(83,913)
0.04 83,913
5 📉
(Org: 4)
(81,671)
0 81,671
6 📈
(Org: 10)
(59,620)
0.36 59,620
7 📉
(Org: 6)
(59,022)
0 59,022
8 📉
(Org: 7)
(52,934)
0 52,934
9 📉
(Org: 8)
(51,264)
0.05 51,264
10 📉
(Org: 9)
(45,025)
0 45,025
11 ➡️
(Org: 11)
(35,254)
0 35,254
12 ➡️
(Org: 12)
(33,038)
0.01 33,038
13 ➡️
(Org: 13)
(31,938)
0 31,938
14 📈
(Org: 20)
(31,336)
0.26 31,336
15 📉
(Org: 14)
(28,226)
- 28,226
16 📉
(Org: 15)
(27,785)
0 27,785
17 📉
(Org: 16)
(27,461)
0 27,461
18 📉
(Org: 17)
(26,912)
0 26,912
19 📉
(Org: 18)
(26,910)
0.01 26,910
20 📉
(Org: 19)
(23,311)
0 23,311
21 ➡️
(Org: 21)
(22,399)
0 22,399
22 ➡️
(Org: 22)
(21,906)
0.01 21,906
23 📈
(Org: 24)
(21,179)
0 21,179
24 📈
(Org: 25)
(19,443)
0 19,443
25 📈
(Org: 26)
(18,855)
0.03 18,855
26 📈
(Org: 32)
(17,315)
0.15 17,315
27 ➡️
(Org: 27)
(17,260)
0 17,260
28 ➡️
(Org: 28)
(16,677)
0.01 16,677
29 ➡️
(Org: 29)
(16,516)
0.01 16,516
30 ➡️
(Org: 30)
(15,576)
0 15,576
31 ➡️
(Org: 31)
(15,115)
0 15,115
32 📈
(Org: 33)
(14,660)
- 14,660
33 📈
(Org: 34)
(13,605)
0.03 13,605
34 📈
(Org: 35)
(13,115)
0.04 13,115
35 📈
(Org: 43)
(13,067)
0.33 13,067
36 📈
(Org: 64)
(11,569)
0.47 11,569
37 📉
(Org: 36)
(11,528)
0 11,528
38 📉
(Org: 37)
(11,347)
0 11,347
39 📉
(Org: 38)
(11,150)
- 11,150
40 📉
(Org: 39)
(11,125)
0 11,125
41 ➡️
(Org: 41)
(10,649)
0.05 10,649
42 📈
(Org: 48)
(10,451)
0.2 10,451
43 📉
(Org: 40)
(10,383)
0.01 10,383
44 📉
(Org: 42)
(9,873)
0.1 9,873
45 📈
(Org: 61)
(8,916)
0.31 8,916
46 ➡️
(Org: 46)
(8,824)
0.03 8,824
47 📉
(Org: 45)
(8,739)
0 8,739
48 📉
(Org: 44)
(8,735)
- 8,735
49 ➡️
(Org: 49)
(8,507)
0.06 8,507
50 📉
(Org: 47)
(8,467)
0.01 8,467
51 📈
(Org: 54)
(8,241)
0.16 8,241
52 📈
(Org: 75)
(7,969)
0.31 7,969
53 📉
(Org: 50)
(7,754)
0 7,754
54 📉
(Org: 52)
(7,608)
0.03 7,608
55 📉
(Org: 51)
(7,526)
0.01 7,526
56 📉
(Org: 53)
(7,020)
- 7,020
57 📈
(Org: 78)
(6,847)
0.22 6,847
58 📉
(Org: 55)
(6,740)
0.02 6,740
59 📉
(Org: 56)
(6,602)
- 6,602
60 📉
(Org: 58)
(6,562)
0.01 6,562
61 📉
(Org: 59)
(6,474)
- 6,474
62 📉
(Org: 60)
(6,347)
0.01 6,347
63 📈
(Org: 68)
(6,242)
0.04 6,242
64 📉
(Org: 62)
(6,181)
0.01 6,181
65 📉
(Org: 63)
(6,165)
0.01 6,165
66 ➡️
(Org: 66)
(6,110)
0.01 6,110
67 📉
(Org: 65)
(6,080)
0 6,080
68 📉
(Org: 67)
(6,047)
0 6,047
69 📈
(Org: 70)
(6,013)
0 6,013
70 📉
(Org: 69)
(6,009)
0 6,009
71 ➡️
(Org: 71)
(5,988)
0 5,988
72 ➡️
(Org: 72)
(5,963)
0 5,963
73 ➡️
(Org: 73)
(5,699)
0 5,699
74 ➡️
(Org: 74)
(5,644)
0.01 5,644
75 📈
(Org: 91)
(5,621)
0.23 5,621
76 📈
(Org: 79)
(5,607)
0.06 5,607
77 ➡️
(Org: 77)
(5,539)
0.03 5,539
78 📈
(Org: 80)
(5,436)
0.05 5,436
79 📈
(Org: 82)
(5,234)
0.06 5,234
80 📈
(Org: 88)
(5,196)
0.14 5,196
81 ➡️
(Org: 81)
(5,151)
- 5,151
82 📈
(Org: 85)
(4,814)
0.03 4,814
83 📈
(Org: 84)
(4,711)
0 4,711
84 📈
(Org: 94)
(4,680)
0.16 4,680
85 📈
(Org: 86)
(4,619)
- 4,619
86 📈
(Org: 87)
(4,611)
- 4,611
87 📈
(Org: 90)
(4,595)
0.05 4,595
88 📈
(Org: 89)
(4,537)
0.04 4,537
89 📈
(Org: 93)
(4,240)
0.06 4,240
90 📈
(Org: 92)
(4,136)
0 4,136
91 📈
(Org: 95)
(3,931)
0 3,931
92 📈
(Org: 96)
(3,907)
- 3,907
93 📈
(Org: 97)
(3,901)
- 3,901
94 📈
(Org: 98)
(3,781)
0.01 3,781
95 📈
(Org: 99)
(3,753)
0.01 3,753
96 📈
(Org: 100)
(3,718)
0.02 3,718
97 📈
(Org: 126)
(3,701)
0.29 3,701
98 📈
(Org: 101)
(3,659)
0.01 3,659
99 📈
(Org: 104)
(3,607)
0.03 3,607
100 📈
(Org: 103)
(3,586)
0.02 3,586