Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2018 - 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: 17)
(23,340)
0.55 23,340
2 📉
(Org: 1)
(20,179)
0.01 20,179
3 📉
(Org: 2)
(18,525)
0.01 18,525
4 📉
(Org: 3)
(14,680)
0 14,680
5 📈
(Org: 8)
(14,383)
0.12 14,383
6 📈
(Org: 32)
(14,141)
0.39 14,141
7 📈
(Org: 19)
(14,117)
0.29 14,117
8 📈
(Org: 29)
(14,024)
0.39 14,024
9 📉
(Org: 4)
(13,680)
0 13,680
10 📉
(Org: 5)
(13,565)
0 13,565
11 📉
(Org: 6)
(13,558)
0.01 13,558
12 📉
(Org: 7)
(13,200)
0.01 13,200
13 📉
(Org: 9)
(13,050)
0.04 13,050
14 📉
(Org: 10)
(12,599)
0.01 12,599
15 📉
(Org: 14)
(12,148)
0.03 12,148
16 📉
(Org: 11)
(12,118)
0 12,118
17 📉
(Org: 13)
(12,105)
0.02 12,105
18 📉
(Org: 12)
(11,981)
0 11,981
19 📈
(Org: 24)
(11,667)
0.2 11,667
20 📉
(Org: 15)
(11,380)
0.01 11,380
21 📉
(Org: 16)
(10,806)
0.01 10,806
22 📉
(Org: 20)
(10,491)
0.05 10,491
23 📈
(Org: 37)
(10,476)
0.22 10,476
24 📈
(Org: 48)
(10,398)
0.34 10,398
25 📉
(Org: 18)
(10,160)
0 10,160
26 📉
(Org: 21)
(9,883)
0 9,883
27 📉
(Org: 22)
(9,825)
0 9,825
28 📉
(Org: 23)
(9,714)
0 9,714
29 📉
(Org: 26)
(9,549)
0.04 9,549
30 📉
(Org: 25)
(9,341)
0 9,341
31 📉
(Org: 27)
(9,216)
0 9,216
32 📉
(Org: 28)
(9,208)
0.03 9,208
33 📈
(Org: 34)
(9,180)
0.07 9,180
34 📉
(Org: 31)
(9,105)
0.05 9,105
35 📈
(Org: 97)
(8,995)
0.56 8,995
36 📈
(Org: 45)
(8,966)
0.22 8,966
37 📉
(Org: 29)
(8,688)
0.01 8,688
38 📉
(Org: 33)
(8,636)
0.01 8,636
39 📉
(Org: 35)
(8,554)
0.01 8,554
40 📈
(Org: 58)
(8,483)
0.28 8,483
41 📉
(Org: 36)
(8,464)
0.01 8,464
42 📉
(Org: 38)
(8,045)
- 8,045
43 📉
(Org: 42)
(8,024)
0.09 8,024
44 📈
(Org: 90)
(8,017)
0.46 8,017
45 📈
(Org: 74)
(7,730)
0.37 7,730
46 📉
(Org: 41)
(7,525)
0.02 7,525
47 📉
(Org: 40)
(7,460)
0 7,460
48 📉
(Org: 43)
(7,313)
- 7,313
49 ➡️
(Org: 49)
(7,188)
0.05 7,188
50 📉
(Org: 44)
(7,093)
0 7,093
51 📈
(Org: 61)
(7,033)
0.17 7,033
52 📉
(Org: 46)
(7,026)
0.01 7,026
53 📉
(Org: 47)
(6,937)
0.01 6,937
54 📉
(Org: 51)
(6,903)
0.03 6,903
55 📈
(Org: 63)
(6,821)
0.15 6,821
56 📉
(Org: 50)
(6,782)
0 6,782
57 📈
(Org: 70)
(6,736)
0.22 6,736
58 📉
(Org: 52)
(6,698)
0 6,698
59 📉
(Org: 53)
(6,663)
- 6,663
60 📉
(Org: 55)
(6,645)
0.01 6,645
61 📈
(Org: 68)
(6,643)
0.2 6,643
62 📉
(Org: 54)
(6,581)
- 6,581
63 📈
(Org: 69)
(6,489)
0.18 6,489
64 📉
(Org: 60)
(6,309)
0.05 6,309
65 📉
(Org: 59)
(6,241)
0.03 6,241
66 📉
(Org: 57)
(6,222)
0.02 6,222
67 📉
(Org: 56)
(6,114)
- 6,114
68 📈
(Org: 98)
(6,094)
0.34 6,094
69 📈
(Org: 75)
(5,866)
0.18 5,866
70 📉
(Org: 62)
(5,816)
- 5,816
71 📉
(Org: 64)
(5,648)
0 5,648
72 📉
(Org: 65)
(5,627)
- 5,627
73 📈
(Org: 84)
(5,588)
0.21 5,588
74 📉
(Org: 67)
(5,492)
0.03 5,492
75 📉
(Org: 66)
(5,491)
0.01 5,491
76 📉
(Org: 73)
(5,275)
0.04 5,275
77 📉
(Org: 71)
(5,191)
- 5,191
77 📈
(Org: 106)
(5,191)
0.3 5,191
79 📈
(Org: 92)
(5,114)
0.17 5,114
80 📉
(Org: 72)
(5,069)
0 5,069
81 📉
(Org: 79)
(5,021)
0.06 5,021
82 📈
(Org: 162)
(4,952)
0.52 4,952
83 📈
(Org: 100)
(4,928)
0.21 4,928
84 📈
(Org: 109)
(4,913)
0.28 4,913
85 📉
(Org: 80)
(4,895)
0.04 4,895
86 📉
(Org: 81)
(4,791)
0.02 4,791
87 📉
(Org: 78)
(4,736)
0.01 4,736
88 📉
(Org: 82)
(4,720)
0.01 4,720
89 📉
(Org: 83)
(4,663)
0.04 4,663
90 📈
(Org: 160)
(4,538)
0.47 4,538
91 📉
(Org: 87)
(4,444)
0.02 4,444
92 📉
(Org: 85)
(4,428)
0.01 4,428
93 📉
(Org: 85)
(4,398)
0 4,398
94 📉
(Org: 88)
(4,359)
0 4,359
95 📉
(Org: 89)
(4,318)
- 4,318
96 📈
(Org: 137)
(4,312)
0.34 4,312
97 📉
(Org: 91)
(4,307)
0.01 4,307
98 📉
(Org: 93)
(4,226)
0 4,226
99 📉
(Org: 94)
(4,171)
0.02 4,171
100 📈
(Org: 344)
(4,153)
0.77 4,153