Top 100 Most Popular Girl Baby Names by Pronunciation in the US 2002 - 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)
(26,330)
0.07 26,330
2 📈
(Org: 32)
(23,026)
0.65 23,026
3 📉
(Org: 2)
(22,682)
0.04 22,682
4 📈
(Org: 31)
(22,096)
0.64 22,096
5 📉
(Org: 3)
(20,480)
0.08 20,480
6 📈
(Org: 8)
(19,807)
0.25 19,807
7 📉
(Org: 6)
(17,108)
0.1 17,108
8 📈
(Org: 17)
(16,822)
0.31 16,822
9 📉
(Org: 4)
(16,704)
0.01 16,704
10 📉
(Org: 5)
(16,111)
0.03 16,111
11 📉
(Org: 7)
(16,052)
0.05 16,052
12 📉
(Org: 11)
(15,550)
0.06 15,550
13 📉
(Org: 10)
(14,785)
0.01 14,785
14 📉
(Org: 12)
(14,718)
0.13 14,718
15 📉
(Org: 9)
(14,686)
0 14,686
16 📈
(Org: 36)
(14,545)
0.5 14,545
17 📉
(Org: 14)
(12,741)
0.04 12,741
18 📉
(Org: 13)
(12,596)
0.02 12,596
19 📉
(Org: 16)
(12,233)
0.03 12,233
20 📉
(Org: 19)
(12,154)
0.07 12,154
21 📉
(Org: 18)
(12,138)
0.06 12,138
22 📉
(Org: 15)
(12,112)
0 12,112
23 📈
(Org: 27)
(11,738)
0.26 11,738
24 📉
(Org: 23)
(11,324)
0.2 11,324
25 📈
(Org: 26)
(11,183)
0.21 11,183
26 📈
(Org: 57)
(10,812)
0.54 10,812
27 📈
(Org: 42)
(10,797)
0.42 10,797
28 📉
(Org: 20)
(10,457)
0.01 10,457
29 📉
(Org: 24)
(10,273)
0.13 10,273
30 ➡️
(Org: 30)
(9,940)
0.16 9,940
31 📉
(Org: 21)
(9,919)
0.01 9,919
32 📉
(Org: 25)
(9,771)
0.09 9,771
33 📈
(Org: 34)
(9,578)
0.19 9,578
34 📉
(Org: 22)
(9,565)
0.04 9,565
35 📈
(Org: 61)
(9,358)
0.48 9,358
36 📉
(Org: 28)
(9,156)
0.07 9,156
37 📈
(Org: 56)
(9,107)
0.44 9,107
38 📈
(Org: 40)
(9,073)
0.3 9,073
39 📈
(Org: 44)
(8,973)
0.3 8,973
40 📉
(Org: 39)
(8,672)
0.24 8,672
41 📉
(Org: 29)
(8,618)
0.02 8,618
42 📉
(Org: 33)
(8,063)
0.01 8,063
43 📉
(Org: 37)
(7,676)
0.09 7,676
44 📈
(Org: 60)
(7,508)
0.35 7,508
45 📈
(Org: 54)
(7,341)
0.29 7,341
46 📉
(Org: 41)
(7,306)
0.14 7,306
47 📉
(Org: 38)
(7,300)
0.05 7,300
48 📈
(Org: 85)
(7,041)
0.48 7,041
49 📈
(Org: 64)
(7,036)
0.32 7,036
50 📈
(Org: 76)
(6,870)
0.43 6,870
51 📈
(Org: 93)
(6,751)
0.48 6,751
52 📈
(Org: 62)
(6,691)
0.28 6,691
53 📉
(Org: 43)
(6,657)
0.06 6,657
54 📈
(Org: 77)
(6,437)
0.39 6,437
55 📉
(Org: 45)
(6,422)
0.04 6,422
56 📈
(Org: 206)
(6,238)
0.75 6,238
57 📉
(Org: 46)
(6,145)
- 6,145
57 📉
(Org: 50)
(6,145)
0.11 6,145
59 📉
(Org: 47)
(6,141)
0.08 6,141
60 📈
(Org: 90)
(5,925)
0.4 5,925
61 📉
(Org: 48)
(5,679)
0.03 5,679
62 📉
(Org: 51)
(5,588)
0.02 5,588
63 📈
(Org: 97)
(5,579)
0.39 5,579
64 📈
(Org: 79)
(5,571)
0.31 5,571
65 📉
(Org: 49)
(5,548)
0.01 5,548
66 📉
(Org: 52)
(5,532)
0.04 5,532
67 📈
(Org: 84)
(5,474)
0.33 5,474
68 📈
(Org: 81)
(5,428)
0.31 5,428
69 📉
(Org: 58)
(5,281)
0.06 5,281
70 📉
(Org: 55)
(5,118)
- 5,118
71 📉
(Org: 63)
(5,088)
0.06 5,088
72 📈
(Org: 92)
(5,078)
0.31 5,078
73 📉
(Org: 66)
(5,047)
0.07 5,047
74 📈
(Org: 87)
(4,839)
0.26 4,839
75 📉
(Org: 68)
(4,832)
0.08 4,832
76 📉
(Org: 65)
(4,731)
0 4,731
77 📈
(Org: 144)
(4,715)
0.51 4,715
77 📈
(Org: 91)
(4,715)
0.25 4,715
79 📉
(Org: 67)
(4,689)
0.01 4,689
80 📉
(Org: 70)
(4,685)
0.06 4,685
81 📈
(Org: 126)
(4,584)
0.4 4,584
82 📉
(Org: 71)
(4,507)
0.07 4,507
83 📉
(Org: 69)
(4,490)
0.02 4,490
84 📉
(Org: 78)
(4,489)
0.13 4,489
85 📉
(Org: 72)
(4,466)
0.07 4,466
86 📈
(Org: 99)
(4,442)
0.25 4,442
87 📈
(Org: 88)
(4,379)
0.18 4,379
88 📈
(Org: 241)
(4,377)
0.7 4,377
89 📉
(Org: 75)
(4,329)
0.09 4,329
90 📈
(Org: 96)
(4,247)
0.2 4,247
91 📈
(Org: 186)
(4,175)
0.59 4,175
92 📈
(Org: 94)
(4,136)
0.16 4,136
93 📉
(Org: 73)
(4,116)
0 4,116
94 📉
(Org: 80)
(4,048)
0.07 4,048
95 📈
(Org: 118)
(4,039)
0.29 4,039
96 📉
(Org: 74)
(3,986)
0 3,986
97 📈
(Org: 113)
(3,964)
0.24 3,964
98 📉
(Org: 95)
(3,935)
0.13 3,935
99 📉
(Org: 86)
(3,895)
0.07 3,895
100 📉
(Org: 98)
(3,876)
0.13 3,876