Top 100 Most Popular Boy Baby Names by Pronunciation in the US 2019 - 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)
(22,381)
0.55 22,381
2 📉
(Org: 1)
(20,835)
0.01 20,835
3 📉
(Org: 2)
(19,291)
0.01 19,291
4 📈
(Org: 8)
(14,369)
0.13 14,369
5 📉
(Org: 3)
(14,032)
0 14,032
6 📉
(Org: 4)
(13,678)
0 13,678
7 📈
(Org: 33)
(13,651)
0.39 13,651
8 📉
(Org: 5)
(13,631)
0.01 13,631
9 📉
(Org: 6)
(13,225)
0 13,225
10 📉
(Org: 7)
(13,110)
0.01 13,110
11 📈
(Org: 20)
(13,081)
0.28 13,081
12 📈
(Org: 35)
(12,865)
0.38 12,865
13 📉
(Org: 9)
(11,963)
0.04 11,963
14 📈
(Org: 26)
(11,354)
0.21 11,354
15 📉
(Org: 11)
(11,346)
0 11,346
16 📉
(Org: 10)
(11,335)
0 11,335
17 📈
(Org: 30)
(11,152)
0.22 11,152
18 📉
(Org: 12)
(10,941)
0.01 10,941
19 📉
(Org: 14)
(10,935)
0.03 10,935
20 📉
(Org: 13)
(10,845)
0.01 10,845
21 📉
(Org: 16)
(10,695)
0.01 10,695
22 📉
(Org: 15)
(10,634)
0 10,634
23 📉
(Org: 18)
(9,903)
0 9,903
24 📉
(Org: 19)
(9,689)
0.03 9,689
25 📉
(Org: 23)
(9,670)
0.04 9,670
26 📉
(Org: 22)
(9,367)
0 9,367
27 📉
(Org: 21)
(9,352)
0 9,352
28 📈
(Org: 55)
(9,322)
0.35 9,322
29 📉
(Org: 28)
(9,229)
0.04 9,229
30 📉
(Org: 24)
(9,197)
0 9,197
31 📉
(Org: 25)
(9,138)
0.01 9,138
32 📉
(Org: 27)
(8,989)
0 8,989
33 📉
(Org: 29)
(8,869)
0 8,869
34 ➡️
(Org: 34)
(8,863)
0.07 8,863
35 📉
(Org: 31)
(8,519)
0.01 8,519
36 📉
(Org: 32)
(8,497)
0.01 8,497
37 📈
(Org: 97)
(8,490)
0.54 8,490
38 📈
(Org: 51)
(8,253)
0.22 8,253
39 ➡️
(Org: 39)
(8,008)
0.06 8,008
40 📉
(Org: 36)
(7,899)
0 7,899
41 📉
(Org: 37)
(7,880)
0.01 7,880
42 📉
(Org: 38)
(7,727)
0 7,727
43 📈
(Org: 44)
(7,667)
0.09 7,667
44 📉
(Org: 41)
(7,577)
0.01 7,577
45 📈
(Org: 93)
(7,558)
0.46 7,558
46 📈
(Org: 75)
(7,543)
0.35 7,543
47 📉
(Org: 40)
(7,524)
0 7,524
48 📈
(Org: 78)
(7,461)
0.38 7,461
49 📉
(Org: 43)
(7,144)
0.01 7,144
50 📈
(Org: 68)
(7,100)
0.27 7,100
51 📈
(Org: 59)
(7,050)
0.19 7,050
51 📉
(Org: 47)
(7,050)
0.05 7,050
53 📉
(Org: 45)
(6,851)
0 6,851
54 📉
(Org: 46)
(6,809)
- 6,809
55 📈
(Org: 87)
(6,745)
0.34 6,745
56 📉
(Org: 49)
(6,726)
0.03 6,726
57 📉
(Org: 48)
(6,644)
0 6,644
58 📈
(Org: 63)
(6,605)
0.17 6,605
59 📉
(Org: 50)
(6,567)
0.01 6,567
60 📈
(Org: 64)
(6,474)
0.16 6,474
61 📈
(Org: 67)
(6,436)
0.18 6,436
62 📉
(Org: 52)
(6,403)
- 6,403
63 📉
(Org: 53)
(6,389)
0.03 6,389
64 📉
(Org: 54)
(6,177)
0.01 6,177
65 📉
(Org: 58)
(5,978)
0.04 5,978
66 📈
(Org: 82)
(5,961)
0.24 5,961
67 📉
(Org: 61)
(5,890)
0.06 5,890
68 📉
(Org: 60)
(5,877)
0.03 5,877
69 📉
(Org: 56)
(5,784)
- 5,784
70 📉
(Org: 57)
(5,780)
- 5,780
71 📉
(Org: 62)
(5,644)
0.02 5,644
72 📉
(Org: 65)
(5,411)
0 5,411
73 📈
(Org: 85)
(5,409)
0.18 5,409
74 📉
(Org: 66)
(5,396)
- 5,396
75 📉
(Org: 70)
(5,099)
0.01 5,099
76 📉
(Org: 69)
(5,081)
0 5,081
77 📉
(Org: 71)
(5,006)
0.01 5,006
78 📈
(Org: 161)
(4,927)
0.5 4,927
79 📉
(Org: 74)
(4,924)
0.01 4,924
80 📉
(Org: 72)
(4,916)
- 4,916
81 📉
(Org: 73)
(4,914)
- 4,914
82 📉
(Org: 81)
(4,870)
0.07 4,870
83 📉
(Org: 76)
(4,851)
- 4,851
84 📉
(Org: 80)
(4,742)
0.04 4,742
85 📉
(Org: 77)
(4,724)
0.01 4,724
86 📈
(Org: 112)
(4,706)
0.27 4,706
87 📈
(Org: 101)
(4,648)
0.21 4,648
88 📉
(Org: 84)
(4,635)
0.03 4,635
89 📉
(Org: 88)
(4,527)
0.03 4,527
90 📉
(Org: 89)
(4,513)
0.04 4,513
91 📈
(Org: 103)
(4,507)
0.21 4,507
92 📉
(Org: 86)
(4,425)
- 4,425
93 📈
(Org: 102)
(4,390)
0.17 4,390
94 📈
(Org: 324)
(4,331)
0.76 4,331
95 📈
(Org: 176)
(4,317)
0.49 4,317
96 📈
(Org: 100)
(4,306)
0.13 4,306
97 📉
(Org: 91)
(4,213)
0.01 4,213
98 📉
(Org: 90)
(4,207)
0 4,207
99 📉
(Org: 94)
(4,170)
0.02 4,170
100 📉
(Org: 95)
(4,136)
0.04 4,136