Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1927 - 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)
(70,775)
0 70,775
2 📈
(Org: 3)
(38,378)
0.08 38,378
3 📉
(Org: 2)
(36,062)
0 36,062
4 ➡️
(Org: 4)
(25,965)
0.02 25,965
5 ➡️
(Org: 5)
(22,325)
0.02 22,325
6 ➡️
(Org: 6)
(19,495)
0 19,495
7 ➡️
(Org: 7)
(16,819)
0.02 16,819
8 ➡️
(Org: 8)
(15,775)
0 15,775
9 📈
(Org: 31)
(14,939)
0.51 14,939
10 📈
(Org: 12)
(13,576)
0.04 13,576
11 📉
(Org: 9)
(13,352)
0 13,352
12 📉
(Org: 10)
(13,161)
- 13,161
13 📉
(Org: 11)
(13,053)
- 13,053
14 ➡️
(Org: 14)
(12,885)
0.03 12,885
15 📉
(Org: 13)
(12,814)
0.02 12,814
16 📈
(Org: 21)
(12,135)
0.29 12,135
17 📉
(Org: 15)
(11,731)
0.02 11,731
18 📉
(Org: 16)
(11,215)
- 11,215
19 📉
(Org: 17)
(10,679)
- 10,679
20 📉
(Org: 19)
(10,626)
0.01 10,626
21 📉
(Org: 18)
(10,554)
- 10,554
22 📉
(Org: 20)
(10,359)
0 10,359
23 📉
(Org: 22)
(8,542)
0 8,542
24 📉
(Org: 23)
(8,497)
- 8,497
25 ➡️
(Org: 25)
(8,379)
0.03 8,379
26 📉
(Org: 24)
(8,310)
0 8,310
27 📈
(Org: 33)
(8,118)
0.14 8,118
28 📉
(Org: 26)
(8,042)
0.01 8,042
29 📈
(Org: 41)
(7,997)
0.25 7,997
30 📉
(Org: 27)
(7,719)
0 7,719
31 📉
(Org: 28)
(7,688)
0.01 7,688
32 📉
(Org: 29)
(7,586)
0.02 7,586
33 📉
(Org: 30)
(7,525)
0.03 7,525
34 📉
(Org: 32)
(7,232)
0.01 7,232
35 📉
(Org: 34)
(6,769)
- 6,769
36 📉
(Org: 35)
(6,693)
0 6,693
37 📉
(Org: 36)
(6,562)
- 6,562
38 📈
(Org: 61)
(6,560)
0.31 6,560
39 📉
(Org: 37)
(6,520)
0.02 6,520
40 📈
(Org: 52)
(6,383)
0.2 6,383
41 📈
(Org: 45)
(6,376)
0.12 6,376
42 📉
(Org: 38)
(6,304)
- 6,304
43 📈
(Org: 44)
(6,252)
0.08 6,252
44 📉
(Org: 39)
(6,129)
0 6,129
45 📉
(Org: 40)
(6,086)
- 6,086
46 📉
(Org: 42)
(6,061)
0.01 6,061
47 📈
(Org: 49)
(5,953)
0.11 5,953
48 📉
(Org: 46)
(5,818)
0.05 5,818
49 📉
(Org: 43)
(5,738)
- 5,738
50 📉
(Org: 47)
(5,483)
- 5,483
51 📉
(Org: 48)
(5,403)
- 5,403
52 📉
(Org: 50)
(5,346)
0.01 5,346
53 📈
(Org: 54)
(5,292)
0.04 5,292
54 📉
(Org: 51)
(5,242)
0.01 5,242
55 📉
(Org: 53)
(5,183)
0.02 5,183
56 📈
(Org: 58)
(5,174)
0.05 5,174
57 📉
(Org: 55)
(5,076)
- 5,076
58 📉
(Org: 56)
(5,066)
0.01 5,066
59 📉
(Org: 57)
(4,981)
0.01 4,981
60 ➡️
(Org: 60)
(4,813)
0.02 4,813
61 📉
(Org: 59)
(4,782)
- 4,782
62 ➡️
(Org: 62)
(4,536)
0.04 4,536
63 📈
(Org: 70)
(4,381)
0.09 4,381
64 📉
(Org: 63)
(4,370)
0 4,370
65 📉
(Org: 64)
(4,368)
0.01 4,368
66 📉
(Org: 64)
(4,327)
- 4,327
67 📉
(Org: 66)
(4,320)
0 4,320
68 📉
(Org: 67)
(4,247)
0 4,247
69 ➡️
(Org: 69)
(4,203)
0.02 4,203
70 📉
(Org: 68)
(4,186)
0.01 4,186
71 📈
(Org: 74)
(4,037)
0.08 4,037
72 📈
(Org: 86)
(3,949)
0.2 3,949
73 📉
(Org: 71)
(3,897)
0 3,897
74 📉
(Org: 72)
(3,823)
0.01 3,823
75 ➡️
(Org: 75)
(3,684)
0 3,684
76 📈
(Org: 81)
(3,683)
0.09 3,683
77 ➡️
(Org: 77)
(3,675)
0.04 3,675
78 📉
(Org: 76)
(3,586)
- 3,586
79 📈
(Org: 94)
(3,532)
0.19 3,532
80 📉
(Org: 78)
(3,515)
0 3,515
81 📉
(Org: 80)
(3,448)
0.02 3,448
82 📉
(Org: 79)
(3,438)
0.01 3,438
83 ➡️
(Org: 83)
(3,419)
0.05 3,419
84 📉
(Org: 81)
(3,351)
0 3,351
85 📈
(Org: 88)
(3,270)
0.09 3,270
86 📉
(Org: 84)
(3,267)
0.02 3,267
87 📈
(Org: 133)
(3,203)
0.39 3,203
88 📉
(Org: 85)
(3,158)
- 3,158
89 📉
(Org: 87)
(3,134)
0.01 3,134
90 📈
(Org: 115)
(3,049)
0.2 3,049
91 📈
(Org: 112)
(3,044)
0.16 3,044
92 📈
(Org: 106)
(2,980)
0.11 2,980
93 📉
(Org: 89)
(2,947)
0 2,947
94 📈
(Org: 96)
(2,945)
0.03 2,945
95 📉
(Org: 92)
(2,928)
- 2,928
96 📉
(Org: 95)
(2,911)
0.02 2,911
97 📉
(Org: 93)
(2,908)
0.01 2,908
98 📈
(Org: 131)
(2,880)
0.32 2,880
99 📈
(Org: 109)
(2,867)
0.11 2,867
99 📉
(Org: 98)
(2,867)
0.01 2,867