Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1921 - 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)
(74,121)
0 74,121
2 ➡️
(Org: 2)
(39,183)
0 39,183
3 ➡️
(Org: 3)
(35,611)
0.02 35,611
4 ➡️
(Org: 4)
(28,896)
0.01 28,896
5 ➡️
(Org: 5)
(25,875)
0 25,875
6 📈
(Org: 8)
(20,003)
0.12 20,003
7 📈
(Org: 23)
(19,658)
0.55 19,658
8 📉
(Org: 6)
(19,068)
0 19,068
9 📉
(Org: 7)
(17,880)
- 17,880
10 📉
(Org: 9)
(16,687)
0.04 16,687
11 📉
(Org: 10)
(16,133)
0.02 16,133
12 ➡️
(Org: 12)
(14,585)
0.02 14,585
13 📉
(Org: 11)
(14,484)
0 14,484
14 📈
(Org: 18)
(14,124)
0.25 14,124
15 📉
(Org: 13)
(13,431)
0.02 13,431
16 📉
(Org: 14)
(12,556)
0 12,556
17 📉
(Org: 15)
(11,964)
0 11,964
18 📉
(Org: 16)
(11,579)
0.03 11,579
19 📉
(Org: 17)
(10,763)
0 10,763
20 📉
(Org: 19)
(9,901)
0.01 9,901
21 📈
(Org: 29)
(9,452)
0.15 9,452
22 📉
(Org: 20)
(9,352)
- 9,352
23 📉
(Org: 21)
(9,278)
0 9,278
24 📉
(Org: 22)
(9,204)
0 9,204
25 📈
(Org: 31)
(8,975)
0.14 8,975
26 📉
(Org: 24)
(8,941)
0.01 8,941
27 📉
(Org: 25)
(8,904)
0.04 8,904
28 📉
(Org: 26)
(8,747)
0.05 8,747
29 📉
(Org: 27)
(8,302)
- 8,302
30 📉
(Org: 28)
(8,158)
0 8,158
31 📉
(Org: 30)
(7,839)
- 7,839
32 ➡️
(Org: 32)
(7,603)
- 7,603
33 ➡️
(Org: 33)
(7,589)
- 7,589
34 ➡️
(Org: 34)
(7,439)
0.01 7,439
35 📈
(Org: 54)
(7,386)
0.32 7,386
36 📉
(Org: 35)
(7,353)
0.02 7,353
37 📉
(Org: 36)
(7,209)
- 7,209
38 📉
(Org: 37)
(7,201)
0.01 7,201
39 📉
(Org: 38)
(7,033)
0.02 7,033
40 📉
(Org: 39)
(7,014)
0.12 7,014
41 📉
(Org: 40)
(6,013)
- 6,013
42 📉
(Org: 41)
(5,990)
0 5,990
43 📉
(Org: 42)
(5,926)
- 5,926
44 📉
(Org: 43)
(5,847)
0.01 5,847
45 📉
(Org: 44)
(5,729)
0.01 5,729
46 📉
(Org: 45)
(5,616)
0 5,616
47 ➡️
(Org: 47)
(5,444)
0.05 5,444
48 📉
(Org: 46)
(5,377)
0.01 5,377
49 📉
(Org: 48)
(5,260)
0.02 5,260
50 📈
(Org: 51)
(5,156)
0.01 5,156
51 📉
(Org: 50)
(5,155)
- 5,155
52 📈
(Org: 61)
(5,137)
0.12 5,137
53 📉
(Org: 52)
(5,098)
0.01 5,098
54 📉
(Org: 53)
(5,058)
- 5,058
55 📈
(Org: 85)
(4,907)
0.32 4,907
56 📉
(Org: 55)
(4,898)
0 4,898
57 📉
(Org: 56)
(4,829)
0.01 4,829
58 📉
(Org: 57)
(4,779)
- 4,779
59 📉
(Org: 58)
(4,737)
- 4,737
60 ➡️
(Org: 60)
(4,713)
0.03 4,713
61 📉
(Org: 59)
(4,687)
0.02 4,687
62 ➡️
(Org: 62)
(4,668)
0.03 4,668
63 📈
(Org: 71)
(4,366)
0.08 4,366
64 📉
(Org: 63)
(4,364)
0.01 4,364
65 📈
(Org: 69)
(4,318)
0.06 4,318
66 📉
(Org: 65)
(4,272)
0.02 4,272
67 📈
(Org: 68)
(4,270)
0.04 4,270
68 📉
(Org: 67)
(4,227)
0.02 4,227
69 📉
(Org: 66)
(4,160)
- 4,160
70 ➡️
(Org: 70)
(4,007)
- 4,007
71 📈
(Org: 94)
(3,903)
0.2 3,903
72 📈
(Org: 75)
(3,890)
0.05 3,890
73 📉
(Org: 72)
(3,867)
0.01 3,867
74 📉
(Org: 73)
(3,797)
0 3,797
75 📉
(Org: 74)
(3,761)
0 3,761
76 📈
(Org: 77)
(3,667)
0.01 3,667
77 📉
(Org: 76)
(3,636)
0 3,636
78 📈
(Org: 110)
(3,624)
0.29 3,624
79 📈
(Org: 83)
(3,607)
0.05 3,607
80 📉
(Org: 78)
(3,589)
- 3,589
81 📉
(Org: 79)
(3,587)
- 3,587
82 ➡️
(Org: 82)
(3,585)
0.04 3,585
83 📉
(Org: 80)
(3,543)
0.01 3,543
84 📈
(Org: 93)
(3,491)
0.1 3,491
85 📉
(Org: 81)
(3,474)
0 3,474
86 📈
(Org: 107)
(3,407)
0.23 3,407
87 📉
(Org: 84)
(3,380)
- 3,380
88 📉
(Org: 87)
(3,353)
0.01 3,353
89 📉
(Org: 88)
(3,344)
0.01 3,344
90 📉
(Org: 86)
(3,340)
0 3,340
91 📈
(Org: 104)
(3,331)
0.19 3,331
92 📉
(Org: 91)
(3,280)
0.02 3,280
93 📉
(Org: 89)
(3,257)
0.01 3,257
94 📉
(Org: 90)
(3,243)
0 3,243
95 📉
(Org: 92)
(3,210)
- 3,210
96 📈
(Org: 125)
(3,190)
0.34 3,190
97 📈
(Org: 99)
(3,127)
0.08 3,127
98 📉
(Org: 95)
(3,125)
0.02 3,125
99 📉
(Org: 97)
(3,006)
0.03 3,006
100 📉
(Org: 96)
(3,005)
0 3,005