Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1922 - 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)
(72,326)
0 72,326
2 ➡️
(Org: 2)
(37,814)
0 37,814
3 ➡️
(Org: 3)
(33,294)
0.02 33,294
4 ➡️
(Org: 4)
(27,290)
0.02 27,290
5 ➡️
(Org: 5)
(23,739)
0 23,739
6 ➡️
(Org: 6)
(23,506)
0.11 23,506
7 ➡️
(Org: 7)
(19,200)
0 19,200
8 📈
(Org: 24)
(18,476)
0.54 18,476
9 📉
(Org: 8)
(16,412)
- 16,412
10 ➡️
(Org: 10)
(15,698)
0.04 15,698
11 📉
(Org: 9)
(15,554)
0.02 15,554
12 📉
(Org: 11)
(14,071)
0.02 14,071
13 📈
(Org: 17)
(13,779)
0.26 13,779
14 📉
(Org: 13)
(13,627)
0.02 13,627
15 📉
(Org: 12)
(13,414)
0 13,414
16 📉
(Org: 14)
(11,980)
0.01 11,980
17 📉
(Org: 15)
(11,277)
- 11,277
18 📉
(Org: 16)
(10,753)
0.03 10,753
19 📉
(Org: 18)
(10,085)
0 10,085
20 📉
(Org: 19)
(9,543)
0.01 9,543
21 📉
(Org: 20)
(9,466)
0.04 9,466
22 📈
(Org: 28)
(9,131)
0.14 9,131
23 📉
(Org: 21)
(9,032)
0 9,032
24 📉
(Org: 22)
(8,910)
0 8,910
25 📉
(Org: 23)
(8,791)
- 8,791
26 ➡️
(Org: 26)
(8,369)
0.04 8,369
27 📈
(Org: 33)
(8,313)
0.14 8,313
28 📉
(Org: 25)
(8,174)
0.02 8,174
29 📉
(Org: 27)
(7,903)
0 7,903
30 📉
(Org: 29)
(7,622)
- 7,622
31 📉
(Org: 30)
(7,476)
- 7,476
32 📉
(Org: 31)
(7,254)
- 7,254
33 📉
(Org: 32)
(7,246)
- 7,246
34 📈
(Org: 51)
(7,213)
0.31 7,213
35 📉
(Org: 34)
(7,136)
- 7,136
36 📉
(Org: 35)
(7,073)
0.02 7,073
37 📉
(Org: 36)
(6,860)
0.01 6,860
38 📉
(Org: 37)
(6,849)
0.01 6,849
39 📉
(Org: 38)
(6,848)
0.02 6,848
40 📈
(Org: 41)
(6,747)
0.12 6,747
41 📉
(Org: 39)
(6,448)
0.01 6,448
42 📉
(Org: 40)
(6,272)
- 6,272
43 📉
(Org: 42)
(5,713)
0.01 5,713
44 📉
(Org: 43)
(5,487)
0 5,487
45 📉
(Org: 44)
(5,474)
- 5,474
46 📉
(Org: 45)
(5,382)
- 5,382
47 📈
(Org: 56)
(5,308)
0.12 5,308
48 📉
(Org: 46)
(5,274)
0.01 5,274
49 📉
(Org: 47)
(5,132)
0 5,132
50 📉
(Org: 48)
(5,104)
0 5,104
51 📈
(Org: 53)
(5,078)
0.03 5,078
52 ➡️
(Org: 52)
(5,076)
0.02 5,076
53 📉
(Org: 49)
(5,054)
- 5,054
54 📉
(Org: 50)
(5,040)
0.01 5,040
55 ➡️
(Org: 55)
(5,030)
0.04 5,030
56 📈
(Org: 58)
(4,783)
0.03 4,783
57 ➡️
(Org: 57)
(4,643)
- 4,643
58 📈
(Org: 59)
(4,633)
0 4,633
59 📈
(Org: 60)
(4,616)
- 4,616
60 📈
(Org: 99)
(4,520)
0.36 4,520
61 📈
(Org: 62)
(4,506)
0.01 4,506
62 📉
(Org: 61)
(4,502)
0 4,502
63 ➡️
(Org: 63)
(4,496)
0.02 4,496
64 📈
(Org: 68)
(4,250)
0.08 4,250
65 📈
(Org: 67)
(4,249)
0.07 4,249
66 📉
(Org: 64)
(4,216)
0.01 4,216
67 📉
(Org: 65)
(4,045)
0.01 4,045
68 📉
(Org: 66)
(3,974)
- 3,974
69 📈
(Org: 85)
(3,960)
0.19 3,960
70 📈
(Org: 71)
(3,935)
0.02 3,935
71 📉
(Org: 68)
(3,902)
- 3,902
72 📉
(Org: 70)
(3,899)
0 3,899
73 📈
(Org: 74)
(3,896)
0.04 3,896
74 📉
(Org: 72)
(3,793)
- 3,793
75 📈
(Org: 81)
(3,690)
0.07 3,690
76 📉
(Org: 75)
(3,654)
0 3,654
77 📈
(Org: 80)
(3,648)
0.05 3,648
78 📉
(Org: 76)
(3,588)
0 3,588
79 📉
(Org: 77)
(3,570)
0.01 3,570
80 📉
(Org: 78)
(3,565)
0.01 3,565
81 📉
(Org: 79)
(3,516)
0 3,516
82 ➡️
(Org: 82)
(3,507)
0.02 3,507
83 📈
(Org: 89)
(3,331)
0.05 3,331
84 📈
(Org: 93)
(3,312)
0.1 3,312
85 📉
(Org: 83)
(3,303)
0.01 3,303
86 📈
(Org: 111)
(3,301)
0.27 3,301
87 📈
(Org: 109)
(3,290)
0.23 3,290
88 📉
(Org: 84)
(3,233)
- 3,233
89 📉
(Org: 87)
(3,229)
0.01 3,229
90 📈
(Org: 107)
(3,199)
0.18 3,199
90 📉
(Org: 86)
(3,199)
0 3,199
92 📉
(Org: 90)
(3,172)
0.01 3,172
93 📉
(Org: 88)
(3,171)
0 3,171
94 📉
(Org: 91)
(3,115)
- 3,115
95 📈
(Org: 128)
(3,032)
0.34 3,032
96 📉
(Org: 95)
(3,017)
0.02 3,017
97 📉
(Org: 94)
(2,997)
0.01 2,997
98 📉
(Org: 92)
(2,993)
0 2,993
99 📉
(Org: 97)
(2,917)
- 2,917
100 📈
(Org: 105)
(2,910)
0.08 2,910