Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1958 - 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)
(56,364)
0.01 56,364
2 ➡️
(Org: 2)
(50,981)
0.11 50,981
3 ➡️
(Org: 3)
(43,687)
0.04 43,687
4 ➡️
(Org: 4)
(38,854)
0.01 38,854
5 ➡️
(Org: 5)
(37,966)
- 37,966
6 📈
(Org: 14)
(37,135)
0.36 37,135
7 📉
(Org: 6)
(35,943)
0.01 35,943
8 📉
(Org: 7)
(35,491)
0.07 35,491
9 📉
(Org: 8)
(31,189)
0.01 31,189
10 📈
(Org: 13)
(28,275)
0.15 28,275
11 📉
(Org: 9)
(27,891)
0 27,891
12 📈
(Org: 26)
(27,507)
0.43 27,507
13 📉
(Org: 10)
(27,438)
0.02 27,438
14 📈
(Org: 38)
(26,323)
0.59 26,323
15 📉
(Org: 11)
(25,718)
0.02 25,718
16 📉
(Org: 12)
(25,118)
0.01 25,118
17 📈
(Org: 30)
(22,244)
0.41 22,244
18 📉
(Org: 15)
(22,158)
0.01 22,158
19 📉
(Org: 17)
(21,451)
0.02 21,451
20 ➡️
(Org: 20)
(21,375)
0.08 21,375
21 📉
(Org: 16)
(21,337)
- 21,337
22 📉
(Org: 18)
(20,815)
- 20,815
23 📉
(Org: 19)
(20,789)
0.03 20,789
24 📉
(Org: 21)
(20,620)
0.07 20,620
25 📉
(Org: 24)
(19,571)
0.09 19,571
26 📉
(Org: 22)
(18,938)
0.02 18,938
27 📉
(Org: 23)
(18,593)
0.02 18,593
28 📉
(Org: 25)
(17,602)
0.06 17,602
29 📈
(Org: 57)
(17,089)
0.57 17,089
30 📈
(Org: 68)
(16,647)
0.59 16,647
31 📈
(Org: 51)
(16,487)
0.5 16,487
32 📉
(Org: 28)
(15,533)
0.05 15,533
33 📉
(Org: 27)
(15,027)
0 15,027
34 📉
(Org: 29)
(14,337)
0.06 14,337
35 📉
(Org: 32)
(13,337)
0.13 13,337
36 📈
(Org: 56)
(12,826)
0.42 12,826
37 📉
(Org: 31)
(12,455)
0.01 12,455
38 📈
(Org: 43)
(12,364)
0.19 12,364
39 ➡️
(Org: 39)
(12,097)
0.11 12,097
40 📈
(Org: 44)
(11,728)
0.15 11,728
41 📉
(Org: 36)
(11,267)
0.04 11,267
42 📉
(Org: 37)
(10,963)
0.01 10,963
43 📉
(Org: 35)
(10,888)
- 10,888
44 📉
(Org: 41)
(10,743)
0.03 10,743
45 📉
(Org: 40)
(10,663)
- 10,663
46 📉
(Org: 42)
(10,335)
0.03 10,335
47 📈
(Org: 60)
(9,642)
0.25 9,642
48 📈
(Org: 72)
(9,639)
0.31 9,639
49 📉
(Org: 48)
(9,382)
0.11 9,382
50 📉
(Org: 45)
(9,186)
0 9,186
51 📉
(Org: 46)
(9,047)
0 9,047
52 📉
(Org: 47)
(8,861)
0 8,861
53 📉
(Org: 49)
(8,678)
0.05 8,678
54 📈
(Org: 61)
(8,561)
0.16 8,561
55 📉
(Org: 50)
(8,329)
0.01 8,329
56 📉
(Org: 54)
(8,245)
0.06 8,245
57 📉
(Org: 52)
(8,099)
0 8,099
58 📉
(Org: 53)
(8,039)
0 8,039
59 📉
(Org: 55)
(7,732)
0.01 7,732
60 📈
(Org: 67)
(7,628)
0.11 7,628
61 📈
(Org: 63)
(7,340)
0.05 7,340
62 📉
(Org: 59)
(7,297)
0 7,297
63 📉
(Org: 62)
(7,130)
0 7,130
64 📈
(Org: 66)
(6,956)
0.01 6,956
65 📉
(Org: 64)
(6,950)
0 6,950
66 📉
(Org: 65)
(6,921)
0 6,921
67 📈
(Org: 71)
(6,902)
0.04 6,902
68 📈
(Org: 69)
(6,757)
0 6,757
69 📈
(Org: 73)
(6,612)
0.01 6,612
70 📈
(Org: 99)
(6,393)
0.25 6,393
71 📈
(Org: 79)
(6,337)
0.05 6,337
72 📈
(Org: 108)
(6,243)
0.28 6,243
73 📈
(Org: 137)
(6,205)
0.5 6,205
74 📈
(Org: 76)
(6,178)
0.01 6,178
75 📈
(Org: 81)
(6,144)
0.04 6,144
76 📈
(Org: 77)
(6,134)
- 6,134
77 📈
(Org: 78)
(6,043)
- 6,043
78 📈
(Org: 125)
(5,940)
0.41 5,940
79 📈
(Org: 117)
(5,904)
0.34 5,904
80 📈
(Org: 83)
(5,788)
0 5,788
81 📈
(Org: 82)
(5,787)
0 5,787
82 📈
(Org: 84)
(5,779)
0.02 5,779
83 📈
(Org: 85)
(5,691)
0 5,691
84 📈
(Org: 86)
(5,544)
0 5,544
85 📈
(Org: 88)
(5,511)
0.03 5,511
86 📈
(Org: 87)
(5,455)
- 5,455
87 📈
(Org: 91)
(5,385)
0.03 5,385
88 📈
(Org: 94)
(5,287)
0.04 5,287
89 📈
(Org: 100)
(5,286)
0.1 5,286
90 ➡️
(Org: 90)
(5,252)
0 5,252
91 📈
(Org: 96)
(5,191)
0.05 5,191
92 📈
(Org: 93)
(5,176)
0 5,176
93 📈
(Org: 95)
(5,013)
0.01 5,013
94 📈
(Org: 126)
(4,986)
0.3 4,986
95 📈
(Org: 203)
(4,985)
0.68 4,985
96 📈
(Org: 106)
(4,847)
0.07 4,847
97 📈
(Org: 98)
(4,840)
0.01 4,840
98 📉
(Org: 97)
(4,822)
- 4,822
99 📈
(Org: 101)
(4,813)
0.01 4,813
100 📈
(Org: 107)
(4,718)
0.05 4,718