Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2023 - 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)
(21,122)
0.01 21,122
2 ➡️
(Org: 2)
(19,267)
0.01 19,267
3 ➡️
(Org: 3)
(14,825)
0 14,825
4 📈
(Org: 28)
(14,173)
0.48 14,173
5 📈
(Org: 6)
(14,100)
0.2 14,100
6 📈
(Org: 9)
(12,450)
0.13 12,450
7 📈
(Org: 24)
(12,224)
0.36 12,224
8 📉
(Org: 4)
(11,747)
0 11,747
9 📉
(Org: 5)
(11,689)
0.02 11,689
10 📉
(Org: 8)
(11,105)
0.01 11,105
11 📉
(Org: 7)
(11,099)
0 11,099
12 📉
(Org: 10)
(10,665)
0 10,665
13 📉
(Org: 11)
(10,257)
0 10,257
14 📈
(Org: 43)
(9,990)
0.34 9,990
15 📈
(Org: 44)
(9,975)
0.35 9,975
16 📈
(Org: 49)
(9,548)
0.41 9,548
17 📉
(Org: 12)
(9,489)
0.01 9,489
18 📉
(Org: 14)
(9,010)
0.03 9,010
19 📈
(Org: 40)
(8,967)
0.25 8,967
20 📉
(Org: 13)
(8,915)
0 8,915
21 📉
(Org: 15)
(8,856)
0.04 8,856
22 📉
(Org: 16)
(8,692)
0.03 8,692
23 📉
(Org: 17)
(8,446)
0.01 8,446
24 📉
(Org: 18)
(8,169)
0 8,169
25 📈
(Org: 26)
(8,111)
0.04 8,111
26 📉
(Org: 21)
(8,052)
0.01 8,052
27 📉
(Org: 19)
(8,046)
0 8,046
28 📉
(Org: 20)
(8,011)
- 8,011
29 📉
(Org: 23)
(7,971)
0.01 7,971
30 📉
(Org: 22)
(7,909)
- 7,909
31 📉
(Org: 25)
(7,829)
0 7,829
32 📈
(Org: 59)
(7,805)
0.35 7,805
33 📉
(Org: 30)
(7,568)
0.04 7,568
34 📈
(Org: 48)
(7,491)
0.22 7,491
35 📉
(Org: 32)
(7,488)
0.04 7,488
36 📉
(Org: 34)
(7,438)
0.05 7,438
37 📉
(Org: 27)
(7,436)
0 7,436
38 📉
(Org: 29)
(7,312)
0.01 7,312
39 📈
(Org: 114)
(7,284)
0.57 7,284
40 📉
(Org: 31)
(7,277)
0 7,277
41 📉
(Org: 36)
(7,193)
0.03 7,193
42 📉
(Org: 37)
(7,179)
0.03 7,179
43 📉
(Org: 33)
(7,135)
0.01 7,135
44 📉
(Org: 35)
(7,123)
0.02 7,123
45 📉
(Org: 42)
(7,049)
0.06 7,049
46 📉
(Org: 41)
(6,995)
0.05 6,995
47 📉
(Org: 38)
(6,885)
0.02 6,885
48 📈
(Org: 51)
(6,808)
0.19 6,808
49 📉
(Org: 39)
(6,791)
0.01 6,791
50 📉
(Org: 45)
(6,426)
0.01 6,426
51 📉
(Org: 46)
(6,285)
0 6,285
52 📉
(Org: 47)
(6,265)
- 6,265
53 📈
(Org: 110)
(5,924)
0.46 5,924
54 📈
(Org: 58)
(5,899)
0.14 5,899
55 📈
(Org: 61)
(5,732)
0.13 5,732
56 📈
(Org: 109)
(5,712)
0.43 5,712
57 📉
(Org: 55)
(5,694)
0.09 5,694
58 📉
(Org: 50)
(5,658)
0.01 5,658
59 📉
(Org: 52)
(5,656)
0.04 5,656
60 📉
(Org: 53)
(5,441)
0 5,441
61 📉
(Org: 54)
(5,415)
- 5,415
62 📉
(Org: 56)
(5,302)
0.03 5,302
63 📉
(Org: 57)
(5,139)
0 5,139
64 📉
(Org: 60)
(5,080)
0 5,080
65 📈
(Org: 70)
(5,040)
0.1 5,040
66 📈
(Org: 80)
(4,980)
0.18 4,980
67 📉
(Org: 62)
(4,967)
0.01 4,967
68 ➡️
(Org: 68)
(4,947)
0.08 4,947
69 📉
(Org: 64)
(4,906)
0.01 4,906
70 📈
(Org: 82)
(4,900)
0.17 4,900
71 📉
(Org: 63)
(4,890)
- 4,890
72 📉
(Org: 69)
(4,813)
0.05 4,813
73 📉
(Org: 65)
(4,804)
- 4,804
74 📉
(Org: 66)
(4,796)
- 4,796
75 📉
(Org: 72)
(4,737)
0.05 4,737
76 📈
(Org: 94)
(4,674)
0.21 4,674
77 📉
(Org: 67)
(4,662)
- 4,662
78 📉
(Org: 71)
(4,637)
0.03 4,637
79 📉
(Org: 74)
(4,519)
0.02 4,519
80 📉
(Org: 75)
(4,497)
0.03 4,497
81 📉
(Org: 73)
(4,493)
0 4,493
82 📈
(Org: 168)
(4,447)
0.51 4,447
83 📉
(Org: 78)
(4,419)
0.06 4,419
84 📈
(Org: 108)
(4,311)
0.24 4,311
85 📈
(Org: 111)
(4,273)
0.25 4,273
86 📉
(Org: 81)
(4,241)
0.03 4,241
87 📈
(Org: 96)
(4,214)
0.13 4,214
88 📉
(Org: 76)
(4,210)
- 4,210
89 📈
(Org: 146)
(4,201)
0.41 4,201
90 📉
(Org: 79)
(4,195)
0.02 4,195
91 📉
(Org: 77)
(4,153)
- 4,153
92 📈
(Org: 106)
(4,148)
0.18 4,148
93 📉
(Org: 87)
(4,120)
0.06 4,120
94 📉
(Org: 83)
(4,072)
0.01 4,072
95 📈
(Org: 100)
(4,035)
0.1 4,035
96 📉
(Org: 84)
(4,034)
0 4,034
97 📉
(Org: 85)
(4,016)
- 4,016
98 📉
(Org: 88)
(3,974)
0.04 3,974
99 📈
(Org: 164)
(3,884)
0.43 3,884
100 📉
(Org: 89)
(3,823)
- 3,823