Top 100 Most Popular Girl Baby Names by Pronunciation in the US 2021 - 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: 6)
(19,592)
0.36 19,592
2 📉
(Org: 1)
(17,955)
0.01 17,955
3 📉
(Org: 2)
(16,130)
0.04 16,130
4 📉
(Org: 3)
(13,362)
- 13,362
5 ➡️
(Org: 5)
(13,228)
0.03 13,228
6 📉
(Org: 4)
(13,143)
0.01 13,143
7 ➡️
(Org: 7)
(11,755)
0.04 11,755
8 📈
(Org: 38)
(11,526)
0.55 11,526
9 📉
(Org: 8)
(11,458)
0.03 11,458
10 📈
(Org: 12)
(11,048)
0.27 11,048
11 📉
(Org: 9)
(10,717)
0.11 10,717
12 📈
(Org: 37)
(9,945)
0.48 9,945
13 📈
(Org: 24)
(8,996)
0.29 8,996
14 📉
(Org: 10)
(8,441)
- 8,441
15 📉
(Org: 11)
(8,335)
0.01 8,335
16 📈
(Org: 50)
(8,319)
0.47 8,319
17 📈
(Org: 25)
(8,289)
0.23 8,289
18 📈
(Org: 27)
(8,080)
0.22 8,080
19 📈
(Org: 71)
(8,011)
0.57 8,011
20 📉
(Org: 13)
(7,968)
0.06 7,968
21 📉
(Org: 20)
(7,768)
0.15 7,768
22 📈
(Org: 31)
(7,603)
0.26 7,603
23 📉
(Org: 14)
(7,539)
0.04 7,539
24 📉
(Org: 15)
(7,403)
0.04 7,403
25 📉
(Org: 16)
(7,232)
0.03 7,232
26 📉
(Org: 22)
(7,204)
0.11 7,204
27 📉
(Org: 17)
(7,098)
0.02 7,098
28 📉
(Org: 21)
(7,033)
0.06 7,033
29 📉
(Org: 19)
(6,807)
- 6,807
30 📈
(Org: 46)
(6,741)
0.34 6,741
31 📉
(Org: 29)
(6,664)
0.11 6,664
32 📉
(Org: 26)
(6,660)
0.05 6,660
33 📈
(Org: 47)
(6,637)
0.33 6,637
34 📉
(Org: 23)
(6,369)
0 6,369
35 📉
(Org: 30)
(6,208)
0.06 6,208
36 📉
(Org: 28)
(6,026)
0 6,026
37 📉
(Org: 32)
(5,986)
0.07 5,986
38 📉
(Org: 33)
(5,920)
0.06 5,920
39 📈
(Org: 110)
(5,752)
0.56 5,752
40 📈
(Org: 119)
(5,695)
0.59 5,695
41 📈
(Org: 64)
(5,691)
0.38 5,691
42 📈
(Org: 61)
(5,610)
0.36 5,610
43 📉
(Org: 36)
(5,586)
0.01 5,586
44 📉
(Org: 40)
(5,568)
0.13 5,568
45 📉
(Org: 33)
(5,561)
0 5,561
46 📉
(Org: 35)
(5,539)
0 5,539
47 📈
(Org: 51)
(5,443)
0.21 5,443
48 📈
(Org: 52)
(5,407)
0.21 5,407
49 📈
(Org: 55)
(5,393)
0.24 5,393
50 📉
(Org: 39)
(5,214)
0 5,214
51 📉
(Org: 44)
(5,139)
0.11 5,139
52 📈
(Org: 88)
(5,089)
0.41 5,089
53 📈
(Org: 77)
(5,063)
0.36 5,063
54 📈
(Org: 56)
(5,003)
0.19 5,003
55 📉
(Org: 48)
(4,946)
0.1 4,946
56 📉
(Org: 41)
(4,846)
0.01 4,846
57 📈
(Org: 127)
(4,817)
0.54 4,817
58 📉
(Org: 45)
(4,807)
0.07 4,807
59 📉
(Org: 57)
(4,802)
0.19 4,802
60 📉
(Org: 43)
(4,781)
0.02 4,781
61 📉
(Org: 49)
(4,705)
0.07 4,705
62 📈
(Org: 67)
(4,651)
0.25 4,651
63 ➡️
(Org: 63)
(4,638)
0.24 4,638
64 📈
(Org: 117)
(4,480)
0.47 4,480
65 📈
(Org: 283)
(4,434)
0.75 4,434
66 📉
(Org: 53)
(4,423)
0.03 4,423
67 📈
(Org: 91)
(4,414)
0.35 4,414
68 📉
(Org: 54)
(4,360)
0.02 4,360
69 📈
(Org: 82)
(4,331)
0.28 4,331
70 📈
(Org: 120)
(4,288)
0.46 4,288
71 📉
(Org: 59)
(4,129)
0.1 4,129
72 📈
(Org: 139)
(4,089)
0.52 4,089
73 📈
(Org: 83)
(4,071)
0.24 4,071
73 📈
(Org: 101)
(4,071)
0.34 4,071
75 📉
(Org: 70)
(4,068)
0.15 4,068
76 📈
(Org: 123)
(4,067)
0.44 4,067
77 📉
(Org: 68)
(4,053)
0.14 4,053
78 📈
(Org: 195)
(4,029)
0.62 4,029
79 📈
(Org: 107)
(3,984)
0.35 3,984
80 📈
(Org: 99)
(3,981)
0.32 3,981
81 📈
(Org: 87)
(3,941)
0.24 3,941
82 📉
(Org: 74)
(3,933)
0.15 3,933
83 📉
(Org: 60)
(3,871)
0.05 3,871
84 📉
(Org: 62)
(3,853)
0.07 3,853
85 📈
(Org: 104)
(3,845)
0.32 3,845
86 📉
(Org: 75)
(3,815)
0.12 3,815
87 📉
(Org: 58)
(3,759)
- 3,759
88 📈
(Org: 105)
(3,564)
0.27 3,564
89 📉
(Org: 65)
(3,532)
0.01 3,532
90 📉
(Org: 76)
(3,524)
0.06 3,524
90 📉
(Org: 66)
(3,524)
0.01 3,524
92 📈
(Org: 157)
(3,518)
0.48 3,518
93 📉
(Org: 81)
(3,503)
0.09 3,503
94 📉
(Org: 69)
(3,471)
0 3,471
95 📉
(Org: 79)
(3,458)
0.07 3,458
95 📉
(Org: 73)
(3,458)
0.03 3,458
97 📈
(Org: 188)
(3,413)
0.54 3,413
98 📉
(Org: 72)
(3,389)
- 3,389
99 📉
(Org: 90)
(3,300)
0.12 3,300
100 📉
(Org: 78)
(3,283)
0.02 3,283