Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1950 - 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)
(86,228)
0 86,228
2 ➡️
(Org: 2)
(83,559)
0 83,559
3 ➡️
(Org: 3)
(81,385)
0.02 81,385
4 ➡️
(Org: 4)
(68,077)
0.04 68,077
5 ➡️
(Org: 5)
(60,736)
0 60,736
6 ➡️
(Org: 6)
(60,696)
0 60,696
7 ➡️
(Org: 7)
(51,024)
0 51,024
8 ➡️
(Org: 8)
(45,771)
0 45,771
9 📈
(Org: 16)
(43,761)
0.47 43,761
10 📉
(Org: 9)
(39,104)
0 39,104
11 📉
(Org: 10)
(33,800)
0 33,800
12 📉
(Org: 11)
(31,571)
0 31,571
13 📉
(Org: 12)
(29,967)
0 29,967
14 📉
(Org: 13)
(27,243)
0.01 27,243
15 📉
(Org: 14)
(26,999)
- 26,999
16 📉
(Org: 15)
(23,830)
0 23,830
17 ➡️
(Org: 17)
(23,343)
0.02 23,343
18 ➡️
(Org: 18)
(21,757)
0 21,757
19 📈
(Org: 20)
(20,216)
0 20,216
20 📈
(Org: 21)
(19,420)
0.01 19,420
21 📈
(Org: 22)
(18,715)
- 18,715
22 📈
(Org: 23)
(18,108)
0.08 18,108
23 📈
(Org: 24)
(15,569)
0.02 15,569
24 📈
(Org: 25)
(13,352)
0 13,352
25 📈
(Org: 27)
(13,158)
0.05 13,158
26 ➡️
(Org: 26)
(12,674)
- 12,674
27 📈
(Org: 28)
(12,374)
0.01 12,374
28 📈
(Org: 29)
(11,607)
- 11,607
29 📈
(Org: 30)
(11,445)
0 11,445
30 📈
(Org: 33)
(11,308)
0.1 11,308
31 ➡️
(Org: 31)
(11,186)
0 11,186
32 📈
(Org: 53)
(11,154)
0.46 11,154
33 📉
(Org: 32)
(10,498)
- 10,498
34 ➡️
(Org: 34)
(10,254)
0.05 10,254
35 📈
(Org: 43)
(9,754)
0.22 9,754
36 📉
(Org: 35)
(9,259)
- 9,259
37 📈
(Org: 44)
(8,626)
0.16 8,626
38 📉
(Org: 36)
(8,614)
- 8,614
39 ➡️
(Org: 39)
(8,419)
0.03 8,419
40 📉
(Org: 37)
(8,372)
0 8,372
41 📉
(Org: 38)
(8,224)
0.01 8,224
42 📉
(Org: 40)
(7,798)
- 7,798
43 📉
(Org: 42)
(7,766)
0.01 7,766
44 📉
(Org: 41)
(7,738)
- 7,738
45 📈
(Org: 55)
(7,680)
0.25 7,680
46 📈
(Org: 59)
(7,638)
0.28 7,638
47 📉
(Org: 45)
(7,231)
0 7,231
48 📉
(Org: 46)
(7,208)
0.01 7,208
49 📈
(Org: 76)
(6,987)
0.34 6,987
50 📉
(Org: 47)
(6,981)
0 6,981
51 📉
(Org: 48)
(6,883)
0.01 6,883
52 📉
(Org: 49)
(6,821)
0 6,821
53 📉
(Org: 50)
(6,682)
0.02 6,682
54 📉
(Org: 51)
(6,503)
0.01 6,503
55 📉
(Org: 52)
(6,406)
- 6,406
56 📈
(Org: 75)
(6,066)
0.23 6,066
57 📉
(Org: 54)
(6,064)
0.01 6,064
58 📉
(Org: 57)
(5,935)
0.04 5,935
59 📉
(Org: 56)
(5,754)
- 5,754
60 📉
(Org: 58)
(5,490)
0 5,490
61 📉
(Org: 60)
(5,467)
0 5,467
62 📉
(Org: 61)
(5,382)
0 5,382
63 📈
(Org: 70)
(5,333)
0.09 5,333
64 📈
(Org: 66)
(5,323)
0.07 5,323
65 📉
(Org: 62)
(5,308)
0.02 5,308
66 📈
(Org: 79)
(5,256)
0.15 5,256
67 📉
(Org: 65)
(5,214)
0.04 5,214
68 📈
(Org: 81)
(5,197)
0.17 5,197
69 📉
(Org: 63)
(5,165)
- 5,165
70 📉
(Org: 67)
(5,104)
0.03 5,104
71 📉
(Org: 69)
(4,934)
0.01 4,934
72 📉
(Org: 68)
(4,932)
- 4,932
73 📉
(Org: 72)
(4,876)
0.01 4,876
74 📉
(Org: 71)
(4,841)
- 4,841
75 📉
(Org: 73)
(4,775)
0.01 4,775
76 📈
(Org: 77)
(4,747)
0.03 4,747
77 📉
(Org: 74)
(4,716)
0 4,716
78 ➡️
(Org: 78)
(4,601)
0.01 4,601
79 📈
(Org: 80)
(4,408)
0.01 4,408
80 📈
(Org: 82)
(4,326)
0.01 4,326
81 📈
(Org: 83)
(4,207)
- 4,207
82 📈
(Org: 84)
(4,195)
- 4,195
83 📈
(Org: 85)
(4,187)
0 4,187
84 📈
(Org: 86)
(4,118)
0.01 4,118
85 📈
(Org: 89)
(3,957)
0.05 3,957
86 📈
(Org: 87)
(3,925)
0.01 3,925
87 📈
(Org: 88)
(3,856)
- 3,856
88 📈
(Org: 128)
(3,826)
0.45 3,826
89 📈
(Org: 92)
(3,716)
0.03 3,716
90 📈
(Org: 91)
(3,691)
0.02 3,691
91 📈
(Org: 114)
(3,643)
0.28 3,643
92 📉
(Org: 90)
(3,641)
- 3,641
93 ➡️
(Org: 93)
(3,493)
- 3,493
94 ➡️
(Org: 94)
(3,447)
0 3,447
95 ➡️
(Org: 95)
(3,345)
0 3,345
96 📈
(Org: 97)
(3,327)
0.04 3,327
97 📈
(Org: 98)
(3,301)
0.06 3,301
98 📉
(Org: 96)
(3,235)
- 3,235
99 📈
(Org: 116)
(3,109)
0.2 3,109
100 📉
(Org: 99)
(3,029)
0.02 3,029