Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1998 - 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

Girl Names

Ranking Name Distortion Index Count
1 ➡️
(Org: 1)
(27,707)
0.05 27,707
2 📈
(Org: 35)
(27,024)
0.71 27,024
3 📈
(Org: 4)
(25,988)
0.23 25,988
4 📉
(Org: 2)
(23,273)
0.08 23,273
5 ➡️
(Org: 5)
(21,631)
0.08 21,631
6 ➡️
(Org: 6)
(20,355)
0.03 20,355
7 📉
(Org: 3)
(20,225)
0 20,225
8 📉
(Org: 7)
(19,732)
0.06 19,732
9 ➡️
(Org: 9)
(18,749)
0.05 18,749
10 📉
(Org: 8)
(18,699)
0.02 18,699
11 📈
(Org: 17)
(18,517)
0.35 18,517
12 📈
(Org: 36)
(17,633)
0.55 17,633
13 📈
(Org: 33)
(16,427)
0.5 16,427
14 📉
(Org: 10)
(16,023)
0.05 16,023
15 📉
(Org: 11)
(15,722)
0.13 15,722
16 📉
(Org: 12)
(14,303)
0.06 14,303
17 📉
(Org: 15)
(14,280)
0.14 14,280
18 📉
(Org: 13)
(13,848)
0.04 13,848
19 📉
(Org: 14)
(13,272)
0.03 13,272
20 📉
(Org: 16)
(12,260)
0.01 12,260
21 📈
(Org: 43)
(11,958)
0.43 11,958
22 📈
(Org: 26)
(11,773)
0.19 11,773
23 📉
(Org: 18)
(11,587)
0.04 11,587
24 📉
(Org: 20)
(11,218)
0.05 11,218
25 📈
(Org: 38)
(11,190)
0.3 11,190
26 📈
(Org: 30)
(11,141)
0.24 11,141
27 📈
(Org: 28)
(11,084)
0.23 11,084
28 📉
(Org: 19)
(10,928)
- 10,928
29 📉
(Org: 24)
(10,919)
0.09 10,919
30 📉
(Org: 25)
(10,709)
0.08 10,709
31 📉
(Org: 21)
(10,699)
0.01 10,699
32 📈
(Org: 34)
(10,681)
0.24 10,681
33 📉
(Org: 22)
(10,523)
0.01 10,523
34 📉
(Org: 23)
(10,487)
0.03 10,487
35 📉
(Org: 29)
(9,654)
0.12 9,654
36 📈
(Org: 86)
(9,432)
0.6 9,432
37 📈
(Org: 39)
(8,983)
0.16 8,983
38 📉
(Org: 27)
(8,962)
0.04 8,962
39 📈
(Org: 40)
(8,896)
0.15 8,896
40 📈
(Org: 64)
(8,830)
0.45 8,830
41 📈
(Org: 50)
(8,572)
0.32 8,572
42 📈
(Org: 45)
(8,538)
0.24 8,538
43 📉
(Org: 31)
(8,448)
0.01 8,448
44 📉
(Org: 32)
(8,418)
0.01 8,418
45 📈
(Org: 51)
(8,322)
0.3 8,322
46 📉
(Org: 37)
(7,954)
0 7,954
47 📉
(Org: 41)
(7,858)
0.06 7,858
48 📈
(Org: 60)
(7,587)
0.31 7,587
49 📈
(Org: 140)
(7,583)
0.7 7,583
50 📈
(Org: 56)
(7,522)
0.26 7,522
51 📉
(Org: 42)
(7,437)
0.04 7,437
51 📈
(Org: 101)
(7,437)
0.55 7,437
53 📈
(Org: 69)
(7,325)
0.38 7,325
54 📈
(Org: 92)
(7,203)
0.5 7,203
55 📉
(Org: 46)
(6,687)
0.05 6,687
56 📉
(Org: 47)
(6,669)
0.07 6,669
57 📉
(Org: 44)
(6,541)
0.01 6,541
58 📉
(Org: 49)
(6,535)
0.1 6,535
59 📈
(Org: 66)
(6,392)
0.26 6,392
60 📉
(Org: 52)
(6,217)
0.06 6,217
61 📉
(Org: 54)
(6,209)
0.08 6,209
62 📉
(Org: 55)
(5,938)
0.06 5,938
63 📈
(Org: 117)
(5,895)
0.51 5,895
64 📉
(Org: 57)
(5,840)
0.06 5,840
65 📈
(Org: 85)
(5,807)
0.34 5,807
66 📉
(Org: 53)
(5,741)
0 5,741
67 📉
(Org: 59)
(5,687)
0.06 5,687
68 📈
(Org: 73)
(5,659)
0.24 5,659
69 📈
(Org: 95)
(5,558)
0.37 5,558
70 📈
(Org: 116)
(5,529)
0.47 5,529
71 📉
(Org: 65)
(5,501)
0.12 5,501
72 📈
(Org: 103)
(5,252)
0.36 5,252
73 📉
(Org: 67)
(5,199)
0.11 5,199
74 📈
(Org: 110)
(5,140)
0.38 5,140
75 📈
(Org: 89)
(5,134)
0.28 5,134
76 📉
(Org: 61)
(5,133)
- 5,133
77 📉
(Org: 63)
(5,126)
0.03 5,126
78 📈
(Org: 94)
(5,015)
0.3 5,015
79 📉
(Org: 71)
(4,885)
0.11 4,885
80 📈
(Org: 150)
(4,820)
0.56 4,820
81 📉
(Org: 68)
(4,707)
0.02 4,707
82 📈
(Org: 118)
(4,616)
0.39 4,616
83 📉
(Org: 72)
(4,553)
0.05 4,553
84 📈
(Org: 97)
(4,507)
0.23 4,507
85 📉
(Org: 76)
(4,455)
0.05 4,455
86 📈
(Org: 137)
(4,424)
0.45 4,424
87 📉
(Org: 80)
(4,419)
0.06 4,419
88 📉
(Org: 74)
(4,401)
0.02 4,401
89 📈
(Org: 98)
(4,354)
0.22 4,354
90 📉
(Org: 75)
(4,305)
0.01 4,305
91 📈
(Org: 111)
(4,298)
0.28 4,298
92 📉
(Org: 82)
(4,296)
0.1 4,296
93 📈
(Org: 122)
(4,290)
0.37 4,290
94 📉
(Org: 91)
(4,241)
0.14 4,241
95 📉
(Org: 77)
(4,229)
0 4,229
96 📉
(Org: 88)
(4,175)
0.1 4,175
97 📉
(Org: 81)
(4,159)
0.04 4,159
98 📈
(Org: 134)
(4,130)
0.4 4,130
99 📉
(Org: 84)
(4,059)
0.05 4,059
100 📈
(Org: 123)
(4,049)
0.34 4,049