Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1925 - 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)
(70,734)
0 70,734
2 ➡️
(Org: 2)
(38,683)
0 38,683
3 ➡️
(Org: 3)
(36,164)
0.09 36,164
4 ➡️
(Org: 4)
(29,831)
0.02 29,831
5 ➡️
(Org: 5)
(24,849)
0.02 24,849
6 ➡️
(Org: 6)
(22,366)
0.01 22,366
7 ➡️
(Org: 7)
(17,522)
0 17,522
8 📈
(Org: 29)
(16,531)
0.52 16,531
9 📉
(Org: 8)
(16,411)
0.02 16,411
10 📈
(Org: 11)
(14,503)
0.05 14,503
11 📉
(Org: 9)
(14,453)
- 14,453
12 📉
(Org: 10)
(14,224)
0.02 14,224
13 📈
(Org: 19)
(13,108)
0.28 13,108
14 📉
(Org: 12)
(12,770)
0.02 12,770
15 📉
(Org: 13)
(12,259)
0 12,259
16 📉
(Org: 14)
(12,117)
0.04 12,117
17 📉
(Org: 15)
(11,588)
0 11,588
18 📉
(Org: 16)
(10,980)
0 10,980
19 📉
(Org: 17)
(10,566)
0.01 10,566
20 📉
(Org: 18)
(9,721)
0.02 9,721
21 ➡️
(Org: 21)
(9,643)
0.03 9,643
22 📉
(Org: 20)
(9,393)
0 9,393
23 📉
(Org: 22)
(9,155)
- 9,155
24 📈
(Org: 31)
(8,943)
0.14 8,943
25 📉
(Org: 23)
(8,776)
0 8,776
26 📉
(Org: 24)
(8,624)
0 8,624
27 📉
(Org: 25)
(8,435)
0.01 8,435
28 📉
(Org: 27)
(8,288)
0 8,288
29 📉
(Org: 26)
(8,280)
- 8,280
30 ➡️
(Org: 30)
(8,151)
0.04 8,151
31 📉
(Org: 28)
(8,096)
- 8,096
32 ➡️
(Org: 32)
(7,350)
- 7,350
33 ➡️
(Org: 33)
(7,333)
0.01 7,333
34 📈
(Org: 41)
(7,332)
0.13 7,332
35 📉
(Org: 34)
(6,988)
0.01 6,988
36 ➡️
(Org: 36)
(6,842)
0 6,842
37 📉
(Org: 35)
(6,823)
- 6,823
38 ➡️
(Org: 38)
(6,782)
0.01 6,782
39 📉
(Org: 37)
(6,781)
- 6,781
40 📈
(Org: 58)
(6,728)
0.3 6,728
41 📉
(Org: 39)
(6,649)
- 6,649
42 📉
(Org: 40)
(6,618)
0.02 6,618
43 📈
(Org: 46)
(6,441)
0.11 6,441
44 📉
(Org: 42)
(6,275)
- 6,275
45 📉
(Org: 43)
(6,176)
- 6,176
46 📉
(Org: 44)
(6,051)
0.01 6,051
47 📉
(Org: 45)
(5,850)
0.01 5,850
48 📉
(Org: 47)
(5,600)
0 5,600
49 📈
(Org: 51)
(5,586)
0.11 5,586
50 📉
(Org: 48)
(5,454)
0.02 5,454
51 📉
(Org: 49)
(5,232)
- 5,232
52 📈
(Org: 66)
(5,157)
0.22 5,157
53 ➡️
(Org: 53)
(5,081)
0.04 5,081
54 ➡️
(Org: 54)
(5,016)
0.04 5,016
55 📉
(Org: 50)
(5,010)
0 5,010
56 📉
(Org: 52)
(4,935)
- 4,935
57 📉
(Org: 55)
(4,783)
0 4,783
58 📉
(Org: 57)
(4,754)
0.01 4,754
59 📉
(Org: 56)
(4,726)
- 4,726
60 📈
(Org: 80)
(4,512)
0.22 4,512
61 📉
(Org: 59)
(4,370)
0 4,370
62 📉
(Org: 60)
(4,365)
0.01 4,365
63 📈
(Org: 67)
(4,284)
0.07 4,284
64 📉
(Org: 62)
(4,202)
0.01 4,202
65 📉
(Org: 63)
(4,165)
0 4,165
66 📉
(Org: 64)
(4,145)
- 4,145
67 📉
(Org: 65)
(4,047)
- 4,047
68 ➡️
(Org: 68)
(3,957)
0 3,957
69 📈
(Org: 75)
(3,935)
0.09 3,935
70 📉
(Org: 69)
(3,925)
0 3,925
71 📉
(Org: 70)
(3,908)
0 3,908
72 📈
(Org: 73)
(3,895)
0.03 3,895
73 📉
(Org: 71)
(3,889)
0.01 3,889
74 ➡️
(Org: 74)
(3,836)
0.02 3,836
75 📉
(Org: 72)
(3,813)
0 3,813
76 📈
(Org: 91)
(3,796)
0.18 3,796
77 📉
(Org: 76)
(3,731)
0.04 3,731
78 📈
(Org: 118)
(3,700)
0.38 3,700
79 📉
(Org: 78)
(3,686)
0.04 3,686
80 📈
(Org: 81)
(3,665)
0.04 3,665
81 📈
(Org: 83)
(3,624)
0.06 3,624
82 📉
(Org: 79)
(3,589)
0.01 3,589
83 📈
(Org: 87)
(3,565)
0.08 3,565
84 📉
(Org: 82)
(3,559)
0.02 3,559
85 📉
(Org: 77)
(3,551)
- 3,551
86 📈
(Org: 103)
(3,341)
0.18 3,341
87 📉
(Org: 84)
(3,336)
- 3,336
88 📉
(Org: 85)
(3,320)
- 3,320
89 📉
(Org: 86)
(3,280)
- 3,280
90 ➡️
(Org: 90)
(3,259)
0.01 3,259
91 📉
(Org: 89)
(3,225)
- 3,225
92 📈
(Org: 102)
(3,218)
0.14 3,218
93 📈
(Org: 116)
(3,212)
0.27 3,212
94 📉
(Org: 92)
(3,032)
- 3,032
95 📉
(Org: 93)
(3,027)
0.01 3,027
96 📈
(Org: 97)
(3,021)
0.02 3,021
97 📉
(Org: 94)
(2,996)
- 2,996
98 📉
(Org: 95)
(2,980)
- 2,980
99 📉
(Org: 98)
(2,970)
0.01 2,970
99 📈
(Org: 137)
(2,970)
0.35 2,970