Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1995 - 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: 2)
(28,764)
0.08 28,764
2 📉
(Org: 1)
(28,618)
0.02 28,618
3 📈
(Org: 5)
(28,189)
0.24 28,189
4 📈
(Org: 42)
(26,585)
0.72 26,585
5 📉
(Org: 3)
(25,729)
0.05 25,729
6 ➡️
(Org: 6)
(21,677)
0.06 21,677
7 📉
(Org: 4)
(21,676)
0 21,676
8 📈
(Org: 12)
(19,197)
0.16 19,197
9 📈
(Org: 21)
(18,552)
0.36 18,552
10 📈
(Org: 30)
(18,479)
0.51 18,479
11 📉
(Org: 7)
(18,395)
0.07 18,395
12 📉
(Org: 8)
(17,854)
0.08 17,854
13 📉
(Org: 10)
(16,989)
0.05 16,989
14 📉
(Org: 11)
(16,889)
0.05 16,889
15 📉
(Org: 9)
(16,364)
0 16,364
16 📉
(Org: 13)
(16,268)
0.05 16,268
17 📈
(Org: 32)
(16,262)
0.5 16,262
18 📉
(Org: 17)
(14,919)
0.14 14,919
19 📉
(Org: 14)
(14,683)
0.02 14,683
20 📉
(Org: 16)
(14,505)
0.11 14,505
21 📉
(Org: 15)
(13,749)
0.02 13,749
22 📉
(Org: 19)
(13,674)
0.1 13,674
23 📉
(Org: 18)
(13,239)
0.04 13,239
24 📈
(Org: 28)
(12,694)
0.22 12,694
25 ➡️
(Org: 25)
(12,367)
0.17 12,367
26 📉
(Org: 20)
(12,319)
0.01 12,319
27 📈
(Org: 64)
(11,983)
0.55 11,983
28 📈
(Org: 44)
(11,828)
0.41 11,828
29 📉
(Org: 27)
(11,791)
0.14 11,791
30 📈
(Org: 34)
(11,377)
0.29 11,377
31 📉
(Org: 24)
(11,341)
0.06 11,341
32 📉
(Org: 23)
(11,123)
0.02 11,123
33 📉
(Org: 22)
(10,996)
0 10,996
34 📈
(Org: 45)
(10,936)
0.36 10,936
35 📉
(Org: 26)
(10,556)
0.04 10,556
36 📉
(Org: 33)
(10,434)
0.22 10,434
37 📉
(Org: 29)
(10,352)
0.06 10,352
38 📈
(Org: 43)
(9,519)
0.23 9,519
39 📈
(Org: 47)
(9,453)
0.28 9,453
40 📈
(Org: 69)
(8,766)
0.44 8,766
41 📉
(Org: 31)
(8,608)
0 8,608
42 📈
(Org: 53)
(8,588)
0.29 8,588
43 📉
(Org: 38)
(8,410)
0.09 8,410
44 📉
(Org: 37)
(8,375)
0.08 8,375
45 📉
(Org: 35)
(8,265)
0.05 8,265
46 📉
(Org: 36)
(8,144)
0.04 8,144
47 📉
(Org: 41)
(7,974)
0.07 7,974
48 📉
(Org: 46)
(7,921)
0.12 7,921
49 📈
(Org: 60)
(7,891)
0.3 7,891
50 📉
(Org: 39)
(7,681)
0.01 7,681
51 📈
(Org: 64)
(7,673)
0.3 7,673
52 📈
(Org: 70)
(7,624)
0.37 7,624
53 📉
(Org: 40)
(7,553)
0.01 7,553
54 📈
(Org: 66)
(7,478)
0.28 7,478
55 📉
(Org: 51)
(7,430)
0.14 7,430
56 📈
(Org: 122)
(7,097)
0.64 7,097
57 📈
(Org: 80)
(6,952)
0.37 6,952
58 📉
(Org: 49)
(6,930)
0.05 6,930
59 📈
(Org: 78)
(6,885)
0.35 6,885
60 📈
(Org: 88)
(6,874)
0.42 6,874
61 📉
(Org: 50)
(6,804)
0.05 6,804
62 📉
(Org: 52)
(6,707)
0.05 6,707
63 📈
(Org: 68)
(6,506)
0.25 6,506
64 📈
(Org: 127)
(6,402)
0.61 6,402
65 📉
(Org: 57)
(6,359)
0.06 6,359
66 📉
(Org: 55)
(6,162)
0.02 6,162
67 📉
(Org: 54)
(6,032)
- 6,032
68 📉
(Org: 55)
(6,008)
- 6,008
69 📉
(Org: 58)
(5,914)
0.03 5,914
70 📉
(Org: 61)
(5,841)
0.07 5,841
71 📉
(Org: 63)
(5,741)
0.06 5,741
72 📈
(Org: 82)
(5,510)
0.21 5,510
73 📉
(Org: 62)
(5,467)
0.01 5,467
74 📈
(Org: 79)
(5,449)
0.19 5,449
75 📈
(Org: 99)
(5,296)
0.36 5,296
76 📈
(Org: 118)
(5,239)
0.5 5,239
77 📈
(Org: 106)
(5,187)
0.39 5,187
78 📈
(Org: 96)
(5,103)
0.32 5,103
79 📉
(Org: 67)
(5,101)
0.01 5,101
80 📉
(Org: 77)
(4,994)
0.1 4,994
81 📉
(Org: 72)
(4,930)
0.03 4,930
82 📈
(Org: 123)
(4,856)
0.47 4,856
83 📈
(Org: 107)
(4,811)
0.36 4,811
84 📉
(Org: 73)
(4,798)
0.01 4,798
85 📈
(Org: 89)
(4,795)
0.18 4,795
86 📉
(Org: 84)
(4,786)
0.11 4,786
87 📉
(Org: 76)
(4,723)
0.04 4,723
88 📈
(Org: 93)
(4,643)
0.19 4,643
89 📉
(Org: 75)
(4,529)
- 4,529
90 📈
(Org: 124)
(4,521)
0.43 4,521
91 📉
(Org: 86)
(4,293)
0.05 4,293
92 📉
(Org: 87)
(4,227)
0.06 4,227
93 📉
(Org: 85)
(4,160)
0.01 4,160
94 📉
(Org: 91)
(4,044)
0.05 4,044
95 📈
(Org: 103)
(3,908)
0.16 3,908
96 📈
(Org: 98)
(3,903)
0.13 3,903
97 📉
(Org: 92)
(3,819)
0.01 3,819
98 📈
(Org: 109)
(3,805)
0.22 3,805
99 📈
(Org: 108)
(3,801)
0.2 3,801
100 📉
(Org: 95)
(3,638)
0.03 3,638