Top 100 Most Popular Girl Baby Names by Pronunciation in the US 2018 - 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)
(21,729)
0.36 21,729
2 📉
(Org: 1)
(19,419)
0.03 19,419
3 📉
(Org: 2)
(18,199)
0.01 18,199
4 📉
(Org: 3)
(15,740)
0.05 15,740
5 📉
(Org: 4)
(15,104)
0.04 15,104
6 📈
(Org: 7)
(13,158)
0.03 13,158
7 📉
(Org: 6)
(13,036)
- 13,036
8 📈
(Org: 29)
(12,807)
0.54 12,807
9 📉
(Org: 8)
(12,541)
0.01 12,541
10 ➡️
(Org: 10)
(11,647)
0.1 11,647
11 📈
(Org: 28)
(11,157)
0.46 11,157
12 📉
(Org: 9)
(10,644)
- 10,644
13 📈
(Org: 18)
(10,520)
0.29 10,520
14 📉
(Org: 11)
(10,091)
0.02 10,091
15 📉
(Org: 12)
(9,415)
0.07 9,415
16 📈
(Org: 27)
(9,375)
0.31 9,375
17 📈
(Org: 25)
(9,230)
0.28 9,230
18 📉
(Org: 13)
(8,992)
0.04 8,992
19 📈
(Org: 37)
(8,892)
0.41 8,892
20 📉
(Org: 14)
(8,519)
0.04 8,519
21 📉
(Org: 19)
(8,479)
0.12 8,479
22 📉
(Org: 20)
(8,459)
0.15 8,459
23 📈
(Org: 72)
(8,403)
0.57 8,403
24 📉
(Org: 15)
(8,339)
0.03 8,339
25 📈
(Org: 31)
(8,270)
0.3 8,270
26 📉
(Org: 16)
(8,097)
- 8,097
27 📉
(Org: 22)
(7,960)
0.11 7,960
28 📈
(Org: 30)
(7,864)
0.26 7,864
29 📈
(Org: 41)
(7,584)
0.34 7,584
30 📉
(Org: 21)
(7,251)
0.02 7,251
31 📉
(Org: 23)
(7,020)
0.01 7,020
32 📈
(Org: 68)
(7,008)
0.47 7,008
33 📈
(Org: 34)
(6,897)
0.19 6,897
34 📉
(Org: 24)
(6,821)
0.01 6,821
35 📈
(Org: 53)
(6,793)
0.36 6,793
36 📈
(Org: 108)
(6,556)
0.57 6,556
37 📉
(Org: 26)
(6,534)
0 6,534
38 📈
(Org: 39)
(6,326)
0.19 6,326
39 📉
(Org: 33)
(6,233)
0.09 6,233
40 📈
(Org: 47)
(6,156)
0.24 6,156
41 📈
(Org: 65)
(6,145)
0.37 6,145
42 📈
(Org: 79)
(6,043)
0.43 6,043
43 📉
(Org: 32)
(6,027)
0.05 6,027
44 📈
(Org: 128)
(5,880)
0.61 5,880
45 📈
(Org: 52)
(5,791)
0.25 5,791
46 📉
(Org: 35)
(5,694)
0.08 5,694
47 📈
(Org: 62)
(5,667)
0.31 5,667
48 📉
(Org: 36)
(5,630)
0.07 5,630
49 📈
(Org: 97)
(5,609)
0.47 5,609
50 📈
(Org: 66)
(5,549)
0.32 5,549
51 📈
(Org: 274)
(5,531)
0.78 5,531
52 📈
(Org: 106)
(5,513)
0.49 5,513
53 📉
(Org: 45)
(5,416)
0.12 5,416
54 📉
(Org: 49)
(5,242)
0.16 5,242
55 📉
(Org: 38)
(5,194)
0.01 5,194
56 📈
(Org: 70)
(5,154)
0.28 5,154
57 📈
(Org: 112)
(5,128)
0.48 5,128
58 📈
(Org: 84)
(5,032)
0.32 5,032
59 📉
(Org: 42)
(4,963)
0 4,963
60 📈
(Org: 63)
(4,957)
0.22 4,957
61 📉
(Org: 46)
(4,931)
0.05 4,931
62 📈
(Org: 113)
(4,918)
0.46 4,918
63 📉
(Org: 43)
(4,904)
0.02 4,904
64 📉
(Org: 50)
(4,879)
0.1 4,879
65 📉
(Org: 44)
(4,846)
0 4,846
66 📉
(Org: 51)
(4,788)
0.09 4,788
67 📈
(Org: 69)
(4,760)
0.22 4,760
68 📉
(Org: 58)
(4,759)
0.15 4,759
69 📉
(Org: 59)
(4,751)
0.17 4,751
70 📉
(Org: 48)
(4,666)
0.02 4,666
71 📈
(Org: 96)
(4,610)
0.35 4,610
72 📈
(Org: 102)
(4,565)
0.36 4,565
73 📉
(Org: 57)
(4,471)
0.08 4,471
74 📉
(Org: 73)
(4,469)
0.2 4,469
75 📉
(Org: 55)
(4,459)
0.06 4,459
76 📈
(Org: 109)
(4,442)
0.37 4,442
77 📈
(Org: 119)
(4,435)
0.42 4,435
78 📈
(Org: 124)
(4,364)
0.44 4,364
79 📈
(Org: 153)
(4,307)
0.57 4,307
80 📉
(Org: 54)
(4,220)
0.01 4,220
81 📉
(Org: 56)
(4,186)
0 4,186
82 📈
(Org: 115)
(4,073)
0.36 4,073
83 📈
(Org: 207)
(4,042)
0.63 4,042
84 📉
(Org: 60)
(3,953)
0.01 3,953
85 📉
(Org: 64)
(3,948)
0.02 3,948
86 📉
(Org: 61)
(3,923)
- 3,923
87 📉
(Org: 67)
(3,900)
0.03 3,900
88 📉
(Org: 74)
(3,827)
0.06 3,827
89 📉
(Org: 85)
(3,768)
0.1 3,768
90 📉
(Org: 76)
(3,746)
0.05 3,746
91 📉
(Org: 71)
(3,695)
0.01 3,695
92 📈
(Org: 105)
(3,689)
0.23 3,689
93 📈
(Org: 133)
(3,632)
0.4 3,632
94 📉
(Org: 80)
(3,628)
0.05 3,628
95 📉
(Org: 82)
(3,621)
0.06 3,621
96 📉
(Org: 75)
(3,607)
0.01 3,607
97 📈
(Org: 104)
(3,536)
0.19 3,536
98 📉
(Org: 86)
(3,533)
0.07 3,533
99 📉
(Org: 77)
(3,524)
0.01 3,524
100 📈
(Org: 210)
(3,517)
0.58 3,517