Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1955 - 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)
(63,840)
0.01 63,840
2 ➡️
(Org: 2)
(54,836)
0.05 54,836
3 📈
(Org: 5)
(53,888)
0.12 53,888
4 📉
(Org: 3)
(53,228)
0.04 53,228
5 📉
(Org: 4)
(51,162)
0.01 51,162
6 ➡️
(Org: 6)
(46,231)
0 46,231
7 ➡️
(Org: 7)
(33,630)
0 33,630
8 ➡️
(Org: 8)
(33,569)
0.01 33,569
9 ➡️
(Org: 9)
(30,407)
0.01 30,407
10 ➡️
(Org: 10)
(28,450)
0.02 28,450
11 📈
(Org: 28)
(28,379)
0.59 28,379
12 📉
(Org: 11)
(27,265)
0 27,265
13 📉
(Org: 12)
(27,091)
0.01 27,091
14 📈
(Org: 22)
(25,840)
0.41 25,840
15 📉
(Org: 13)
(25,431)
0.01 25,431
16 📉
(Org: 15)
(23,633)
0.07 23,633
17 ➡️
(Org: 17)
(23,318)
0.06 23,318
18 📉
(Org: 14)
(23,291)
- 23,291
19 📈
(Org: 26)
(23,099)
0.43 23,099
20 📉
(Org: 19)
(22,965)
0.17 22,965
21 📉
(Org: 16)
(22,415)
0.02 22,415
22 📉
(Org: 18)
(19,120)
0 19,120
23 📉
(Org: 20)
(18,772)
0.05 18,772
24 📈
(Org: 52)
(17,460)
0.54 17,460
25 📉
(Org: 21)
(16,987)
0.02 16,987
26 📈
(Org: 46)
(16,706)
0.49 16,706
27 📉
(Org: 23)
(14,638)
0.01 14,638
28 📉
(Org: 24)
(14,595)
0.01 14,595
29 📉
(Org: 25)
(13,178)
- 13,178
30 📈
(Org: 83)
(12,799)
0.58 12,799
31 📉
(Org: 27)
(12,724)
0.03 12,724
32 📈
(Org: 42)
(12,531)
0.28 12,531
33 ➡️
(Org: 33)
(11,601)
0.12 11,601
34 📈
(Org: 89)
(11,324)
0.56 11,324
35 📉
(Org: 30)
(11,310)
0.01 11,310
36 📉
(Org: 29)
(11,309)
0 11,309
37 📈
(Org: 40)
(10,926)
0.17 10,926
38 📉
(Org: 36)
(10,829)
0.08 10,829
39 📉
(Org: 32)
(10,587)
0.02 10,587
40 📉
(Org: 31)
(10,476)
0 10,476
41 📉
(Org: 35)
(10,075)
0.01 10,075
42 📉
(Org: 34)
(10,045)
0 10,045
43 📈
(Org: 62)
(10,037)
0.27 10,037
44 📉
(Org: 37)
(9,767)
0 9,767
45 📉
(Org: 41)
(9,612)
0.06 9,612
46 📉
(Org: 39)
(9,595)
0 9,595
47 📈
(Org: 50)
(9,558)
0.13 9,558
48 📈
(Org: 93)
(9,371)
0.49 9,371
49 📈
(Org: 56)
(9,267)
0.16 9,267
50 📉
(Org: 45)
(8,968)
0.04 8,968
51 📉
(Org: 43)
(8,923)
0 8,923
52 📉
(Org: 48)
(8,893)
0.04 8,893
53 📉
(Org: 49)
(8,758)
0.04 8,758
54 📉
(Org: 47)
(8,552)
- 8,552
55 📈
(Org: 73)
(8,189)
0.26 8,189
56 📉
(Org: 51)
(8,183)
0.02 8,183
57 📈
(Org: 63)
(7,962)
0.09 7,962
58 📉
(Org: 53)
(7,930)
- 7,930
59 📉
(Org: 55)
(7,858)
0 7,858
60 📉
(Org: 54)
(7,852)
- 7,852
61 📉
(Org: 58)
(7,839)
0.02 7,839
62 📉
(Org: 57)
(7,661)
- 7,661
63 📉
(Org: 60)
(7,597)
0.02 7,597
64 📉
(Org: 61)
(7,474)
0.01 7,474
65 📉
(Org: 64)
(7,250)
0 7,250
66 📈
(Org: 71)
(6,918)
0.11 6,918
67 ➡️
(Org: 67)
(6,914)
0.02 6,914
68 📉
(Org: 66)
(6,882)
0 6,882
69 📈
(Org: 72)
(6,248)
0.02 6,248
70 📉
(Org: 69)
(6,226)
0 6,226
71 📈
(Org: 120)
(6,215)
0.44 6,215
72 📉
(Org: 70)
(6,203)
0 6,203
73 📈
(Org: 78)
(6,132)
0.09 6,132
74 📈
(Org: 108)
(5,952)
0.33 5,952
75 📈
(Org: 76)
(5,947)
0.05 5,947
76 📉
(Org: 74)
(5,898)
0.04 5,898
77 📈
(Org: 79)
(5,881)
0.05 5,881
78 📉
(Org: 77)
(5,716)
0.01 5,716
79 📉
(Org: 75)
(5,687)
- 5,687
80 ➡️
(Org: 80)
(5,558)
0.01 5,558
81 ➡️
(Org: 81)
(5,487)
0 5,487
82 ➡️
(Org: 82)
(5,374)
0 5,374
83 📈
(Org: 92)
(5,282)
0.07 5,282
84 ➡️
(Org: 84)
(5,218)
- 5,218
85 📈
(Org: 90)
(5,148)
0.04 5,148
86 📈
(Org: 95)
(5,140)
0.09 5,140
87 ➡️
(Org: 87)
(5,079)
- 5,079
88 📈
(Org: 96)
(4,853)
0.04 4,853
89 📈
(Org: 99)
(4,752)
0.07 4,752
90 📈
(Org: 94)
(4,717)
- 4,717
91 📈
(Org: 111)
(4,674)
0.17 4,674
92 📈
(Org: 121)
(4,575)
0.24 4,575
93 📈
(Org: 98)
(4,422)
0 4,422
94 📈
(Org: 100)
(4,402)
0.01 4,402
95 📈
(Org: 101)
(4,319)
0.02 4,319
96 📈
(Org: 103)
(4,292)
0.02 4,292
97 📈
(Org: 135)
(4,271)
0.28 4,271
98 📈
(Org: 102)
(4,265)
0.01 4,265
99 📈
(Org: 107)
(4,253)
0.06 4,253
100 📈
(Org: 104)
(4,242)
0.03 4,242