Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1923 - 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)
(71,804)
0 71,804
2 ➡️
(Org: 2)
(39,151)
0 39,151
3 ➡️
(Org: 3)
(32,234)
0.02 32,234
4 📈
(Org: 5)
(29,144)
0.11 29,144
5 📉
(Org: 4)
(26,544)
0.02 26,544
6 ➡️
(Org: 6)
(23,756)
0 23,756
7 ➡️
(Org: 7)
(18,378)
0 18,378
8 📈
(Org: 24)
(17,965)
0.53 17,965
9 📉
(Org: 8)
(15,989)
- 15,989
10 📉
(Org: 9)
(15,743)
0.02 15,743
11 📉
(Org: 10)
(15,539)
0.04 15,539
12 📉
(Org: 11)
(14,928)
0.02 14,928
13 📈
(Org: 17)
(13,611)
0.26 13,611
14 📉
(Org: 12)
(13,497)
0.02 13,497
15 📉
(Org: 13)
(12,871)
0 12,871
16 📉
(Org: 14)
(11,561)
0 11,561
17 📉
(Org: 15)
(11,338)
0 11,338
18 📉
(Org: 16)
(10,576)
0.03 10,576
19 ➡️
(Org: 19)
(9,871)
0.04 9,871
20 📉
(Org: 18)
(9,785)
0 9,785
21 📉
(Org: 20)
(9,442)
0.01 9,442
22 📈
(Org: 28)
(9,078)
0.14 9,078
23 📉
(Org: 21)
(8,973)
0 8,973
24 📉
(Org: 22)
(8,896)
0 8,896
25 ➡️
(Org: 25)
(8,581)
0.04 8,581
26 📉
(Org: 23)
(8,440)
- 8,440
27 📈
(Org: 35)
(8,002)
0.14 8,002
28 📉
(Org: 26)
(7,941)
0 7,941
29 📉
(Org: 27)
(7,923)
0.01 7,923
30 📉
(Org: 29)
(7,804)
0.01 7,804
31 📉
(Org: 30)
(7,598)
0.01 7,598
32 📉
(Org: 31)
(7,384)
0 7,384
33 📉
(Org: 32)
(7,299)
- 7,299
34 📉
(Org: 33)
(7,209)
- 7,209
35 📈
(Org: 54)
(7,158)
0.31 7,158
36 📉
(Org: 34)
(7,095)
- 7,095
37 📉
(Org: 36)
(6,836)
- 6,836
38 📉
(Org: 37)
(6,761)
0.01 6,761
39 📈
(Org: 43)
(6,585)
0.12 6,585
40 📉
(Org: 38)
(6,541)
- 6,541
41 📉
(Org: 39)
(6,413)
0.02 6,413
42 📉
(Org: 40)
(6,337)
0.01 6,337
43 📉
(Org: 41)
(5,934)
0.01 5,934
44 📉
(Org: 42)
(5,810)
- 5,810
45 📉
(Org: 44)
(5,743)
0.01 5,743
46 📉
(Org: 45)
(5,635)
0.03 5,635
47 📉
(Org: 46)
(5,479)
0 5,479
48 📈
(Org: 57)
(5,326)
0.11 5,326
49 📉
(Org: 48)
(5,316)
0 5,316
50 📉
(Org: 47)
(5,315)
- 5,315
51 📉
(Org: 50)
(5,193)
0.02 5,193
52 📉
(Org: 49)
(5,142)
0 5,142
53 📈
(Org: 55)
(5,123)
0.04 5,123
54 📉
(Org: 51)
(5,048)
- 5,048
55 📉
(Org: 52)
(5,022)
- 5,022
56 📉
(Org: 53)
(5,011)
0.01 5,011
57 📈
(Org: 58)
(4,870)
0.03 4,870
58 📉
(Org: 56)
(4,800)
- 4,800
59 ➡️
(Org: 59)
(4,719)
0 4,719
60 📈
(Org: 61)
(4,576)
0.01 4,576
61 📈
(Org: 65)
(4,345)
0.07 4,345
62 ➡️
(Org: 62)
(4,323)
- 4,323
63 ➡️
(Org: 63)
(4,260)
0.01 4,260
64 ➡️
(Org: 64)
(4,190)
0.02 4,190
65 📈
(Org: 102)
(4,168)
0.35 4,168
66 📈
(Org: 73)
(4,063)
0.09 4,063
67 📉
(Org: 66)
(4,010)
0.01 4,010
68 📈
(Org: 69)
(3,993)
0.04 3,993
69 📉
(Org: 67)
(3,983)
0.01 3,983
70 ➡️
(Org: 70)
(3,950)
0.05 3,950
71 📉
(Org: 68)
(3,948)
0.02 3,948
72 📈
(Org: 91)
(3,809)
0.2 3,809
73 📈
(Org: 74)
(3,746)
0.01 3,746
74 📉
(Org: 71)
(3,727)
- 3,727
75 ➡️
(Org: 75)
(3,703)
0.01 3,703
76 ➡️
(Org: 76)
(3,649)
0.01 3,649
77 📈
(Org: 81)
(3,622)
0.06 3,622
78 ➡️
(Org: 78)
(3,611)
0.02 3,611
79 📉
(Org: 77)
(3,596)
- 3,596
80 📉
(Org: 79)
(3,534)
- 3,534
81 📈
(Org: 85)
(3,426)
0.04 3,426
82 📉
(Org: 80)
(3,416)
0 3,416
83 📈
(Org: 92)
(3,404)
0.12 3,404
84 📉
(Org: 82)
(3,386)
0 3,386
85 📈
(Org: 105)
(3,385)
0.23 3,385
86 📉
(Org: 83)
(3,369)
- 3,369
87 📈
(Org: 109)
(3,322)
0.27 3,322
88 📉
(Org: 84)
(3,320)
0 3,320
89 📉
(Org: 87)
(3,301)
0.03 3,301
90 📉
(Org: 86)
(3,276)
- 3,276
91 📉
(Org: 88)
(3,206)
0.01 3,206
92 📈
(Org: 131)
(3,110)
0.35 3,110
93 📉
(Org: 89)
(3,070)
- 3,070
94 📈
(Org: 108)
(3,059)
0.18 3,059
95 📉
(Org: 93)
(3,042)
0.02 3,042
96 📉
(Org: 90)
(3,040)
- 3,040
97 📉
(Org: 93)
(3,018)
0.01 3,018
98 📉
(Org: 96)
(2,961)
0 2,961
99 📈
(Org: 117)
(2,908)
0.21 2,908
100 📉
(Org: 98)
(2,893)
0.02 2,893