Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1999 - 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)
(35,506)
0 35,506
2 ➡️
(Org: 2)
(35,229)
0.04 35,229
3 ➡️
(Org: 3)
(31,917)
0.05 31,917
4 📈
(Org: 5)
(30,517)
0.16 30,517
5 📉
(Org: 4)
(27,431)
0.01 27,431
6 ➡️
(Org: 6)
(27,417)
0.07 27,417
7 ➡️
(Org: 7)
(23,866)
- 23,866
8 ➡️
(Org: 8)
(23,362)
0.01 23,362
9 📈
(Org: 17)
(23,302)
0.14 23,302
10 ➡️
(Org: 10)
(23,185)
0.02 23,185
11 📉
(Org: 9)
(22,860)
0.01 22,860
12 📉
(Org: 11)
(22,718)
0.05 22,718
13 📈
(Org: 22)
(21,381)
0.2 21,381
14 📈
(Org: 15)
(21,187)
0.04 21,187
15 📉
(Org: 13)
(21,122)
0.02 21,122
16 📉
(Org: 12)
(21,103)
0 21,103
17 📉
(Org: 14)
(20,742)
0 20,742
18 📉
(Org: 16)
(20,359)
0 20,359
19 📈
(Org: 32)
(19,478)
0.36 19,478
20 📉
(Org: 18)
(19,472)
- 19,472
21 📈
(Org: 23)
(18,911)
0.15 18,911
22 📉
(Org: 20)
(18,613)
0.02 18,613
23 📉
(Org: 19)
(18,598)
0 18,598
24 📉
(Org: 21)
(17,455)
0 17,455
25 📉
(Org: 24)
(14,976)
0 14,976
26 📉
(Org: 25)
(14,782)
- 14,782
27 📈
(Org: 43)
(14,695)
0.4 14,695
28 📉
(Org: 26)
(14,540)
- 14,540
29 📉
(Org: 27)
(14,186)
0.01 14,186
30 📈
(Org: 39)
(13,937)
0.33 13,937
31 📉
(Org: 30)
(13,878)
0.06 13,878
32 📉
(Org: 29)
(13,803)
0.01 13,803
33 📉
(Org: 28)
(13,795)
0 13,795
34 📉
(Org: 33)
(13,664)
0.09 13,664
35 📉
(Org: 31)
(13,268)
0.04 13,268
36 📉
(Org: 34)
(12,497)
0.02 12,497
37 📈
(Org: 47)
(12,241)
0.37 12,241
38 📉
(Org: 35)
(12,155)
- 12,155
39 📈
(Org: 41)
(11,642)
0.2 11,642
40 📉
(Org: 37)
(11,505)
0.01 11,505
41 📉
(Org: 36)
(11,485)
- 11,485
42 📈
(Org: 56)
(11,054)
0.35 11,054
43 📈
(Org: 48)
(10,477)
0.27 10,477
44 📉
(Org: 38)
(10,327)
0.05 10,327
45 📉
(Org: 40)
(10,229)
0.08 10,229
46 📉
(Org: 42)
(9,167)
0 9,167
47 📉
(Org: 45)
(9,023)
0.13 9,023
48 📈
(Org: 51)
(8,349)
0.1 8,349
49 📉
(Org: 44)
(8,240)
0 8,240
50 📈
(Org: 54)
(7,862)
0.07 7,862
51 📉
(Org: 46)
(7,800)
- 7,800
52 📈
(Org: 55)
(7,624)
0.05 7,624
53 📉
(Org: 49)
(7,601)
0 7,601
54 📉
(Org: 52)
(7,589)
0.03 7,589
55 📉
(Org: 50)
(7,525)
- 7,525
56 📉
(Org: 53)
(7,491)
0.02 7,491
57 📈
(Org: 64)
(7,212)
0.11 7,212
58 📈
(Org: 69)
(7,005)
0.2 7,005
59 📉
(Org: 57)
(6,876)
0 6,876
60 📉
(Org: 58)
(6,862)
0.01 6,862
61 📉
(Org: 60)
(6,692)
0.01 6,692
62 📉
(Org: 59)
(6,664)
- 6,664
63 📉
(Org: 61)
(6,501)
- 6,501
64 📉
(Org: 63)
(6,500)
0.01 6,500
65 📈
(Org: 66)
(6,486)
0.04 6,486
66 📈
(Org: 68)
(6,329)
0.06 6,329
67 📉
(Org: 65)
(6,315)
0 6,315
68 📉
(Org: 67)
(6,246)
0.02 6,246
69 📈
(Org: 119)
(6,228)
0.51 6,228
70 📈
(Org: 78)
(5,974)
0.15 5,974
71 📈
(Org: 72)
(5,772)
0.06 5,772
72 📈
(Org: 82)
(5,769)
0.13 5,769
73 📈
(Org: 75)
(5,665)
0.06 5,665
74 📉
(Org: 71)
(5,588)
0.02 5,588
75 📉
(Org: 70)
(5,571)
- 5,571
76 📈
(Org: 83)
(5,552)
0.1 5,552
77 📈
(Org: 113)
(5,416)
0.41 5,416
78 📉
(Org: 73)
(5,407)
0 5,407
79 📉
(Org: 76)
(5,404)
0.03 5,404
80 📉
(Org: 77)
(5,287)
0.04 5,287
81 📈
(Org: 135)
(5,162)
0.45 5,162
82 📉
(Org: 81)
(5,158)
0.03 5,158
83 📈
(Org: 100)
(5,157)
0.26 5,157
84 📉
(Org: 79)
(5,067)
- 5,067
85 📉
(Org: 80)
(5,051)
0 5,051
86 📈
(Org: 90)
(4,994)
0.15 4,994
87 📉
(Org: 84)
(4,840)
0.01 4,840
88 📉
(Org: 86)
(4,663)
0.03 4,663
89 📈
(Org: 93)
(4,546)
0.09 4,546
90 📉
(Org: 87)
(4,521)
- 4,521
91 📈
(Org: 118)
(4,436)
0.3 4,436
92 📉
(Org: 88)
(4,333)
0 4,333
93 📉
(Org: 89)
(4,295)
0 4,295
94 📉
(Org: 92)
(4,277)
0.02 4,277
95 📉
(Org: 91)
(4,251)
0.01 4,251
96 📈
(Org: 109)
(4,141)
0.21 4,141
97 📈
(Org: 208)
(4,136)
0.6 4,136
98 📉
(Org: 94)
(4,020)
- 4,020
99 📉
(Org: 95)
(4,016)
- 4,016
100 📉
(Org: 96)
(3,994)
- 3,994