Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1991 - 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)
(46,541)
0.07 46,541
2 ➡️
(Org: 2)
(44,267)
0.02 44,267
3 📈
(Org: 6)
(34,166)
0.26 34,166
4 📉
(Org: 3)
(31,838)
0.09 31,838
5 📉
(Org: 4)
(28,915)
0 28,915
6 📉
(Org: 5)
(25,710)
0 25,710
7 ➡️
(Org: 7)
(25,309)
0.1 25,309
8 📈
(Org: 25)
(23,868)
0.52 23,868
9 📈
(Org: 55)
(22,563)
0.72 22,563
10 📉
(Org: 8)
(21,307)
0.03 21,307
11 📉
(Org: 10)
(21,220)
0.04 21,220
12 📉
(Org: 9)
(21,212)
0.04 21,212
13 📉
(Org: 11)
(20,249)
0.05 20,249
14 ➡️
(Org: 14)
(19,931)
0.18 19,931
15 📉
(Org: 12)
(19,212)
0.03 19,212
16 📉
(Org: 13)
(18,883)
0.02 18,883
17 📉
(Org: 15)
(18,335)
0.12 18,335
18 📈
(Org: 48)
(18,059)
0.62 18,059
19 📉
(Org: 18)
(18,019)
0.25 18,019
20 📈
(Org: 31)
(16,757)
0.37 16,757
21 ➡️
(Org: 21)
(16,304)
0.18 16,304
22 📉
(Org: 19)
(15,880)
0.15 15,880
23 📉
(Org: 16)
(15,045)
0 15,045
24 📉
(Org: 17)
(14,458)
0.06 14,458
25 📈
(Org: 26)
(13,994)
0.18 13,994
26 📉
(Org: 20)
(13,918)
0.04 13,918
27 📉
(Org: 22)
(13,378)
0.09 13,378
28 📉
(Org: 24)
(13,280)
0.13 13,280
29 📈
(Org: 40)
(12,960)
0.4 12,960
30 📈
(Org: 45)
(12,381)
0.42 12,381
31 📉
(Org: 30)
(12,377)
0.14 12,377
32 📉
(Org: 27)
(12,180)
0.08 12,180
33 📈
(Org: 41)
(12,162)
0.36 12,162
34 📈
(Org: 51)
(11,722)
0.44 11,722
35 📉
(Org: 23)
(11,713)
0 11,713
36 📉
(Org: 29)
(11,655)
0.08 11,655
37 📉
(Org: 33)
(11,340)
0.1 11,340
38 📈
(Org: 42)
(11,095)
0.32 11,095
39 📉
(Org: 32)
(11,021)
0.07 11,021
40 📉
(Org: 28)
(10,971)
0.01 10,971
41 📉
(Org: 34)
(10,652)
0.08 10,652
42 📈
(Org: 50)
(10,085)
0.33 10,085
43 📈
(Org: 58)
(9,939)
0.41 9,939
44 📉
(Org: 36)
(9,874)
0.04 9,874
45 📉
(Org: 35)
(9,861)
0.02 9,861
46 📈
(Org: 79)
(9,165)
0.51 9,165
47 📈
(Org: 70)
(9,018)
0.45 9,018
48 📉
(Org: 38)
(8,892)
0.01 8,892
49 📈
(Org: 54)
(8,174)
0.22 8,174
50 📈
(Org: 52)
(8,053)
0.2 8,053
51 📉
(Org: 39)
(7,995)
- 7,995
52 📉
(Org: 44)
(7,550)
0.05 7,550
53 📉
(Org: 43)
(7,275)
- 7,275
54 📈
(Org: 60)
(7,250)
0.2 7,250
55 📈
(Org: 66)
(7,246)
0.25 7,246
56 📉
(Org: 47)
(7,173)
0.02 7,173
57 📉
(Org: 46)
(7,149)
0 7,149
58 📉
(Org: 53)
(7,097)
0.09 7,097
59 📉
(Org: 49)
(6,962)
0.02 6,962
60 📈
(Org: 63)
(6,708)
0.17 6,708
61 📈
(Org: 63)
(6,376)
0.13 6,376
62 📉
(Org: 56)
(6,248)
0.05 6,248
63 📈
(Org: 111)
(6,136)
0.5 6,136
64 📉
(Org: 62)
(5,927)
0.06 5,927
65 📈
(Org: 137)
(5,899)
0.6 5,899
66 📉
(Org: 59)
(5,842)
0.01 5,842
67 📈
(Org: 81)
(5,793)
0.24 5,793
68 📉
(Org: 65)
(5,787)
0.04 5,787
69 📈
(Org: 110)
(5,723)
0.46 5,723
70 📉
(Org: 61)
(5,631)
0.01 5,631
71 📉
(Org: 68)
(5,447)
0.04 5,447
72 📉
(Org: 67)
(5,400)
0.01 5,400
73 📈
(Org: 74)
(5,270)
0.12 5,270
74 📈
(Org: 80)
(4,956)
0.1 4,956
75 📉
(Org: 71)
(4,917)
0.01 4,917
76 📈
(Org: 77)
(4,773)
0.06 4,773
77 📈
(Org: 106)
(4,760)
0.31 4,760
78 📉
(Org: 76)
(4,642)
0.03 4,642
79 📉
(Org: 78)
(4,613)
0.03 4,613
80 📈
(Org: 83)
(4,603)
0.05 4,603
81 📈
(Org: 199)
(4,538)
0.67 4,538
82 📈
(Org: 91)
(4,498)
0.15 4,498
83 📈
(Org: 85)
(4,439)
0.06 4,439
84 📈
(Org: 281)
(4,172)
0.76 4,172
85 📈
(Org: 89)
(4,055)
0.05 4,055
86 📈
(Org: 90)
(4,038)
0.05 4,038
87 📈
(Org: 138)
(4,028)
0.43 4,028
88 📈
(Org: 93)
(4,013)
0.08 4,013
89 📈
(Org: 105)
(3,950)
0.17 3,950
90 📈
(Org: 97)
(3,928)
0.09 3,928
91 📈
(Org: 92)
(3,904)
0.03 3,904
92 📈
(Org: 153)
(3,888)
0.5 3,888
93 📉
(Org: 88)
(3,858)
- 3,858
94 📈
(Org: 211)
(3,805)
0.63 3,805
95 📈
(Org: 96)
(3,749)
0.05 3,749
96 📉
(Org: 94)
(3,733)
0.01 3,733
97 📈
(Org: 98)
(3,651)
0.02 3,651
98 📈
(Org: 102)
(3,611)
0.07 3,611
99 📈
(Org: 145)
(3,562)
0.42 3,562
100 📈
(Org: 104)
(3,559)
0.07 3,559