Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1924 - 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)
(73,669)
0 73,669
2 ➡️
(Org: 2)
(40,093)
0 40,093
3 📈
(Org: 4)
(34,016)
0.1 34,016
4 📉
(Org: 3)
(31,933)
0.02 31,933
5 ➡️
(Org: 5)
(26,984)
0.02 26,984
6 ➡️
(Org: 6)
(23,722)
0.01 23,722
7 ➡️
(Org: 7)
(18,658)
0 18,658
8 📈
(Org: 27)
(17,901)
0.53 17,901
9 ➡️
(Org: 9)
(16,108)
0.02 16,108
10 📉
(Org: 8)
(15,853)
- 15,853
11 📉
(Org: 10)
(15,849)
0.04 15,849
12 📉
(Org: 11)
(15,258)
0.02 15,258
13 📈
(Org: 18)
(13,696)
0.28 13,696
14 📉
(Org: 12)
(13,662)
0.02 13,662
15 📉
(Org: 13)
(13,076)
- 13,076
16 📉
(Org: 14)
(11,634)
0.01 11,634
17 📉
(Org: 15)
(11,548)
0 11,548
18 📉
(Org: 16)
(11,131)
0.04 11,131
19 📉
(Org: 17)
(10,418)
0.03 10,418
20 📉
(Org: 19)
(9,532)
0 9,532
21 📈
(Org: 29)
(9,525)
0.14 9,525
21 📉
(Org: 20)
(9,525)
0.01 9,525
23 📉
(Org: 22)
(9,433)
0.01 9,433
24 📉
(Org: 21)
(9,329)
0 9,329
25 📉
(Org: 23)
(9,178)
0.01 9,178
26 📉
(Org: 24)
(8,869)
0 8,869
27 📉
(Org: 26)
(8,767)
0.04 8,767
28 📉
(Org: 25)
(8,479)
- 8,479
29 📉
(Org: 28)
(8,305)
- 8,305
30 ➡️
(Org: 30)
(7,898)
0.01 7,898
31 📈
(Org: 37)
(7,695)
0.12 7,695
32 📉
(Org: 31)
(7,408)
- 7,408
33 📈
(Org: 54)
(7,377)
0.32 7,377
34 📉
(Org: 32)
(7,347)
- 7,347
35 📉
(Org: 34)
(7,318)
0.01 7,318
36 📉
(Org: 33)
(7,316)
- 7,316
37 📉
(Org: 35)
(6,957)
- 6,957
38 📉
(Org: 36)
(6,890)
- 6,890
39 📉
(Org: 38)
(6,783)
0.01 6,783
40 📈
(Org: 47)
(6,762)
0.11 6,762
41 📉
(Org: 40)
(6,588)
0.01 6,588
42 📉
(Org: 39)
(6,586)
- 6,586
43 📉
(Org: 41)
(6,540)
0 6,540
44 📉
(Org: 42)
(6,444)
0.02 6,444
45 📉
(Org: 43)
(6,425)
0.02 6,425
46 📉
(Org: 44)
(6,416)
0.02 6,416
47 📉
(Org: 45)
(6,150)
- 6,150
48 📉
(Org: 46)
(6,076)
0 6,076
49 📈
(Org: 52)
(5,678)
0.1 5,678
50 📉
(Org: 49)
(5,511)
0.02 5,511
51 📉
(Org: 48)
(5,404)
- 5,404
52 📈
(Org: 53)
(5,301)
0.04 5,301
53 📉
(Org: 50)
(5,291)
0 5,291
54 📉
(Org: 51)
(5,258)
- 5,258
55 ➡️
(Org: 55)
(5,035)
- 5,035
56 📈
(Org: 58)
(5,031)
0.04 5,031
57 📉
(Org: 56)
(4,997)
0 4,997
58 📉
(Org: 57)
(4,925)
0.01 4,925
59 📈
(Org: 60)
(4,561)
0 4,561
60 📈
(Org: 61)
(4,518)
0 4,518
61 📈
(Org: 64)
(4,500)
0.07 4,500
62 ➡️
(Org: 62)
(4,289)
- 4,289
63 ➡️
(Org: 63)
(4,258)
0 4,258
64 📈
(Org: 65)
(4,204)
0.02 4,204
65 📈
(Org: 72)
(4,195)
0.09 4,195
66 📈
(Org: 108)
(4,168)
0.36 4,168
67 ➡️
(Org: 67)
(4,115)
0.01 4,115
68 📉
(Org: 66)
(4,098)
0.01 4,098
69 📈
(Org: 71)
(4,049)
0.05 4,049
70 📉
(Org: 69)
(4,032)
0.01 4,032
71 📉
(Org: 68)
(4,005)
0 4,005
72 📉
(Org: 70)
(3,931)
0.02 3,931
73 ➡️
(Org: 73)
(3,916)
0.03 3,916
74 📈
(Org: 95)
(3,897)
0.22 3,897
75 📈
(Org: 96)
(3,842)
0.21 3,842
76 ➡️
(Org: 76)
(3,830)
0.04 3,830
77 📉
(Org: 74)
(3,748)
0 3,748
78 📉
(Org: 75)
(3,729)
- 3,729
79 📉
(Org: 77)
(3,722)
0.02 3,722
80 📈
(Org: 97)
(3,714)
0.2 3,714
81 📉
(Org: 78)
(3,698)
0.02 3,698
82 📈
(Org: 84)
(3,671)
0.04 3,671
83 📈
(Org: 86)
(3,656)
0.07 3,656
84 📉
(Org: 79)
(3,627)
- 3,627
85 📉
(Org: 80)
(3,625)
0 3,625
86 📉
(Org: 82)
(3,577)
- 3,577
87 📉
(Org: 83)
(3,542)
0 3,542
88 📉
(Org: 85)
(3,484)
0 3,484
89 📈
(Org: 98)
(3,420)
0.13 3,420
90 📈
(Org: 114)
(3,266)
0.27 3,266
91 📉
(Org: 87)
(3,240)
- 3,240
92 📉
(Org: 88)
(3,229)
0 3,229
93 📉
(Org: 91)
(3,212)
0.02 3,212
94 📉
(Org: 89)
(3,205)
- 3,205
95 📉
(Org: 90)
(3,150)
- 3,150
96 📈
(Org: 101)
(3,128)
0.09 3,128
97 📈
(Org: 134)
(3,098)
0.33 3,098
98 📉
(Org: 92)
(3,094)
0.01 3,094
99 📉
(Org: 94)
(3,078)
0.01 3,078
100 📈
(Org: 106)
(3,030)
0.1 3,030