Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2022 - 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)
(20,755)
0.01 20,755
2 ➡️
(Org: 2)
(18,908)
0.01 18,908
3 📈
(Org: 23)
(16,568)
0.51 16,568
4 📉
(Org: 3)
(15,234)
0 15,234
5 📈
(Org: 11)
(12,662)
0.18 12,662
6 📈
(Org: 8)
(12,522)
0.12 12,522
7 📉
(Org: 5)
(12,256)
0.01 12,256
8 📉
(Org: 4)
(12,131)
0 12,131
9 📈
(Org: 28)
(11,927)
0.34 11,927
10 📈
(Org: 37)
(11,554)
0.38 11,554
11 📉
(Org: 7)
(11,401)
0.01 11,401
12 📉
(Org: 6)
(11,363)
0 11,363
13 📉
(Org: 9)
(10,945)
0 10,945
14 📉
(Org: 10)
(10,838)
0 10,838
15 📈
(Org: 46)
(10,789)
0.4 10,789
16 📈
(Org: 29)
(10,289)
0.24 10,289
17 📉
(Org: 12)
(9,983)
0.01 9,983
18 📉
(Org: 13)
(9,420)
0 9,420
19 📉
(Org: 15)
(9,223)
0.03 9,223
20 📉
(Org: 16)
(9,174)
0.03 9,174
21 📉
(Org: 14)
(9,144)
0 9,144
22 📈
(Org: 56)
(8,924)
0.38 8,924
23 📉
(Org: 17)
(8,754)
0 8,754
24 📉
(Org: 18)
(8,584)
- 8,584
25 📉
(Org: 20)
(8,486)
0.01 8,486
26 📉
(Org: 19)
(8,432)
0 8,432
27 📈
(Org: 57)
(8,420)
0.34 8,420
28 📉
(Org: 24)
(8,391)
0.04 8,391
29 📉
(Org: 21)
(8,339)
0 8,339
30 📉
(Org: 26)
(8,325)
0.04 8,325
31 📉
(Org: 22)
(8,306)
0 8,306
32 📉
(Org: 25)
(8,257)
0.03 8,257
33 📈
(Org: 47)
(8,131)
0.22 8,131
34 📉
(Org: 27)
(8,036)
0.01 8,036
35 📉
(Org: 30)
(7,849)
0 7,849
36 📉
(Org: 31)
(7,845)
0 7,845
37 📉
(Org: 32)
(7,775)
0.02 7,775
38 📉
(Org: 33)
(7,745)
0.02 7,745
39 📈
(Org: 106)
(7,676)
0.55 7,676
40 📉
(Org: 34)
(7,456)
0.01 7,456
41 📉
(Org: 35)
(7,363)
0.01 7,363
42 📉
(Org: 36)
(7,361)
0.02 7,361
43 📉
(Org: 39)
(7,354)
0.04 7,354
44 📉
(Org: 41)
(7,311)
0.08 7,311
45 📉
(Org: 40)
(7,302)
0.03 7,302
46 📉
(Org: 38)
(7,184)
0 7,184
47 📈
(Org: 52)
(7,157)
0.19 7,157
48 📉
(Org: 42)
(7,122)
0.05 7,122
49 📉
(Org: 43)
(6,911)
0.03 6,911
50 📉
(Org: 45)
(6,901)
0.06 6,901
51 📉
(Org: 44)
(6,597)
- 6,597
52 📈
(Org: 103)
(6,574)
0.46 6,574
53 📈
(Org: 97)
(6,249)
0.42 6,249
54 📈
(Org: 55)
(6,109)
0.09 6,109
55 📉
(Org: 48)
(6,107)
0.01 6,107
56 📉
(Org: 49)
(6,100)
0.01 6,100
57 📈
(Org: 59)
(6,089)
0.12 6,089
58 📉
(Org: 50)
(5,934)
- 5,934
59 📉
(Org: 53)
(5,858)
0.04 5,858
60 📉
(Org: 51)
(5,841)
0 5,841
61 📈
(Org: 64)
(5,750)
0.14 5,750
62 📉
(Org: 54)
(5,685)
0.01 5,685
63 📉
(Org: 58)
(5,587)
0.03 5,587
64 📉
(Org: 60)
(5,212)
0 5,212
65 📉
(Org: 61)
(5,163)
- 5,163
66 📉
(Org: 62)
(5,098)
- 5,098
66 📈
(Org: 70)
(5,098)
0.08 5,098
68 📉
(Org: 63)
(5,044)
- 5,044
69 📉
(Org: 66)
(4,985)
0.01 4,985
70 📈
(Org: 150)
(4,975)
0.49 4,975
71 📈
(Org: 79)
(4,960)
0.15 4,960
72 📈
(Org: 91)
(4,941)
0.21 4,941
73 📉
(Org: 65)
(4,940)
0 4,940
74 📉
(Org: 71)
(4,921)
0.08 4,921
75 📈
(Org: 90)
(4,815)
0.18 4,815
76 📉
(Org: 69)
(4,790)
0.02 4,790
77 📉
(Org: 72)
(4,770)
0.06 4,770
78 📉
(Org: 68)
(4,736)
- 4,736
79 📈
(Org: 87)
(4,685)
0.14 4,685
80 📈
(Org: 107)
(4,566)
0.24 4,566
81 📈
(Org: 110)
(4,488)
0.24 4,488
82 📉
(Org: 73)
(4,483)
- 4,483
83 📉
(Org: 77)
(4,477)
0.03 4,477
84 📉
(Org: 74)
(4,447)
0.01 4,447
85 📉
(Org: 75)
(4,364)
- 4,364
86 📉
(Org: 76)
(4,362)
0 4,362
87 📈
(Org: 102)
(4,357)
0.18 4,357
88 📈
(Org: 118)
(4,345)
0.26 4,345
89 📉
(Org: 81)
(4,287)
0.03 4,287
90 📉
(Org: 78)
(4,248)
- 4,248
91 📉
(Org: 82)
(4,234)
0.03 4,234
92 📉
(Org: 89)
(4,210)
0.06 4,210
93 📉
(Org: 83)
(4,189)
0.02 4,189
94 📉
(Org: 80)
(4,188)
0.01 4,188
95 📉
(Org: 88)
(4,160)
0.03 4,160
96 📉
(Org: 85)
(4,110)
0.01 4,110
97 📉
(Org: 84)
(4,078)
- 4,078
98 📉
(Org: 92)
(4,041)
0.03 4,041
99 📉
(Org: 86)
(4,030)
- 4,030
100 📈
(Org: 161)
(3,971)
0.42 3,971