Top 100 Most Popular Girl Baby Names by Pronunciation in the US 2022 - 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: 5)
(19,678)
0.37 19,678
2 📉
(Org: 1)
(16,752)
0.01 16,752
3 📉
(Org: 2)
(15,131)
0.04 15,131
4 📉
(Org: 3)
(12,944)
- 12,944
5 📉
(Org: 4)
(12,529)
0.01 12,529
6 ➡️
(Org: 6)
(12,407)
0.05 12,407
7 ➡️
(Org: 7)
(11,419)
0.03 11,419
8 ➡️
(Org: 8)
(11,341)
0.02 11,341
9 📈
(Org: 12)
(10,996)
0.27 10,996
10 📈
(Org: 38)
(10,853)
0.54 10,853
11 📉
(Org: 9)
(10,525)
0.11 10,525
12 📈
(Org: 39)
(9,239)
0.47 9,239
13 📉
(Org: 10)
(9,055)
0.01 9,055
14 📈
(Org: 29)
(8,663)
0.3 8,663
15 📉
(Org: 14)
(8,415)
0.14 8,415
16 📈
(Org: 19)
(8,307)
0.22 8,307
17 📈
(Org: 60)
(8,233)
0.55 8,233
18 📉
(Org: 11)
(8,223)
- 8,223
19 📈
(Org: 30)
(7,930)
0.24 7,930
20 📈
(Org: 56)
(7,872)
0.5 7,872
21 📈
(Org: 28)
(7,695)
0.2 7,695
22 📉
(Org: 15)
(7,302)
0.04 7,302
23 📉
(Org: 16)
(7,241)
0.04 7,241
24 📉
(Org: 23)
(7,178)
0.11 7,178
25 📈
(Org: 42)
(6,971)
0.31 6,971
26 📉
(Org: 17)
(6,884)
0.06 6,884
27 📉
(Org: 22)
(6,842)
0.06 6,842
28 📈
(Org: 52)
(6,757)
0.38 6,757
29 📉
(Org: 18)
(6,744)
0.04 6,744
30 📉
(Org: 20)
(6,549)
0.01 6,549
31 📉
(Org: 25)
(6,446)
0.03 6,446
32 📉
(Org: 21)
(6,432)
0 6,432
33 📉
(Org: 24)
(6,399)
0.02 6,399
34 📉
(Org: 32)
(6,375)
0.07 6,375
35 📉
(Org: 34)
(6,299)
0.13 6,299
36 📉
(Org: 26)
(6,249)
- 6,249
37 📉
(Org: 33)
(6,187)
0.07 6,187
38 📉
(Org: 27)
(6,180)
0 6,180
39 📉
(Org: 31)
(6,014)
0 6,014
40 📈
(Org: 105)
(5,694)
0.53 5,694
41 📉
(Org: 36)
(5,652)
0.07 5,652
42 📈
(Org: 50)
(5,455)
0.22 5,455
43 📈
(Org: 51)
(5,440)
0.22 5,440
44 📉
(Org: 35)
(5,323)
0.01 5,323
44 ➡️
(Org: 44)
(5,323)
0.12 5,323
46 📈
(Org: 133)
(5,308)
0.6 5,308
47 📈
(Org: 59)
(5,216)
0.26 5,216
48 📉
(Org: 41)
(5,163)
0.07 5,163
49 📉
(Org: 37)
(5,086)
0 5,086
50 📈
(Org: 69)
(5,081)
0.35 5,081
51 📉
(Org: 47)
(5,057)
0.11 5,057
52 📈
(Org: 53)
(4,975)
0.19 4,975
53 📉
(Org: 48)
(4,948)
0.1 4,948
54 📈
(Org: 55)
(4,877)
0.19 4,877
55 📉
(Org: 40)
(4,868)
0 4,868
56 📉
(Org: 43)
(4,844)
0.01 4,844
57 📈
(Org: 81)
(4,805)
0.38 4,805
58 📈
(Org: 90)
(4,718)
0.4 4,718
59 📈
(Org: 80)
(4,655)
0.36 4,655
60 📉
(Org: 46)
(4,606)
0.02 4,606
61 📈
(Org: 123)
(4,558)
0.49 4,558
62 📉
(Org: 61)
(4,549)
0.19 4,549
63 📈
(Org: 95)
(4,527)
0.38 4,527
64 📉
(Org: 49)
(4,419)
0.03 4,419
65 📈
(Org: 98)
(4,293)
0.36 4,293
66 📈
(Org: 122)
(4,240)
0.45 4,240
67 📉
(Org: 54)
(4,194)
0.06 4,194
68 📈
(Org: 72)
(4,127)
0.22 4,127
69 📈
(Org: 137)
(4,090)
0.49 4,090
70 📈
(Org: 97)
(4,065)
0.31 4,065
71 📈
(Org: 250)
(4,054)
0.7 4,054
72 📈
(Org: 75)
(4,044)
0.24 4,044
73 📈
(Org: 104)
(4,001)
0.33 4,001
74 📉
(Org: 65)
(3,943)
0.13 3,943
75 📉
(Org: 62)
(3,923)
0.08 3,923
76 📉
(Org: 57)
(3,908)
0 3,908
77 📉
(Org: 58)
(3,871)
- 3,871
78 📈
(Org: 101)
(3,854)
0.3 3,854
79 📈
(Org: 89)
(3,835)
0.25 3,835
80 📈
(Org: 91)
(3,778)
0.25 3,778
81 📉
(Org: 63)
(3,735)
0.06 3,735
82 📉
(Org: 74)
(3,725)
0.17 3,725
83 📉
(Org: 66)
(3,723)
0.09 3,723
84 📈
(Org: 196)
(3,709)
0.59 3,709
85 📈
(Org: 142)
(3,590)
0.43 3,590
86 📈
(Org: 161)
(3,579)
0.49 3,579
87 📉
(Org: 76)
(3,542)
0.14 3,542
88 📉
(Org: 64)
(3,530)
0.01 3,530
89 📈
(Org: 125)
(3,522)
0.34 3,522
90 📉
(Org: 87)
(3,496)
0.17 3,496
91 📉
(Org: 67)
(3,485)
0.04 3,485
92 📉
(Org: 68)
(3,347)
0.01 3,347
93 📈
(Org: 166)
(3,332)
0.48 3,332
94 📉
(Org: 73)
(3,330)
0.07 3,330
95 📈
(Org: 203)
(3,316)
0.57 3,316
96 📉
(Org: 79)
(3,311)
0.09 3,311
97 📉
(Org: 82)
(3,297)
0.1 3,297
98 📉
(Org: 70)
(3,263)
- 3,263
99 📉
(Org: 71)
(3,261)
0.01 3,261
100 📈
(Org: 157)
(3,204)
0.42 3,204