Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1946 - 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)
(67,933)
0.01 67,933
2 ➡️
(Org: 2)
(55,755)
0.05 55,755
3 ➡️
(Org: 3)
(46,298)
- 46,298
4 ➡️
(Org: 4)
(45,137)
0 45,137
5 ➡️
(Org: 5)
(39,323)
0.13 39,323
6 📈
(Org: 8)
(35,387)
0.2 35,387
7 📉
(Org: 6)
(32,438)
0.02 32,438
8 📉
(Org: 7)
(28,637)
0.01 28,637
9 ➡️
(Org: 9)
(28,628)
0.03 28,628
10 ➡️
(Org: 10)
(22,402)
0 22,402
11 📈
(Org: 14)
(21,854)
0.1 21,854
12 📉
(Org: 11)
(21,429)
0.04 21,429
13 📈
(Org: 28)
(20,760)
0.46 20,760
14 📉
(Org: 12)
(20,198)
0.01 20,198
15 📉
(Org: 13)
(20,169)
0.02 20,169
16 📉
(Org: 15)
(19,924)
0.01 19,924
17 📉
(Org: 16)
(19,324)
0.03 19,324
18 📉
(Org: 17)
(18,364)
0.01 18,364
19 📉
(Org: 18)
(17,895)
0 17,895
20 📈
(Org: 48)
(16,684)
0.62 16,684
21 📉
(Org: 19)
(15,835)
- 15,835
22 📉
(Org: 20)
(15,239)
0 15,239
23 📉
(Org: 21)
(14,659)
0.04 14,659
24 📉
(Org: 22)
(14,038)
- 14,038
25 📈
(Org: 27)
(13,523)
0.15 13,523
26 📉
(Org: 23)
(12,835)
0 12,835
27 📉
(Org: 24)
(12,688)
- 12,688
28 📉
(Org: 25)
(11,941)
0.02 11,941
29 📉
(Org: 26)
(11,693)
0 11,693
30 📉
(Org: 29)
(11,244)
0.05 11,244
31 📉
(Org: 30)
(10,501)
0.01 10,501
32 📉
(Org: 31)
(10,035)
0 10,035
33 📉
(Org: 32)
(9,767)
0 9,767
34 📉
(Org: 33)
(9,662)
0.02 9,662
35 📉
(Org: 34)
(9,582)
0.02 9,582
36 📉
(Org: 35)
(9,484)
0.05 9,484
37 📉
(Org: 36)
(9,479)
0.07 9,479
38 📈
(Org: 49)
(8,786)
0.29 8,786
39 📉
(Org: 37)
(8,762)
0.02 8,762
40 📉
(Org: 39)
(8,720)
0.03 8,720
41 📉
(Org: 38)
(8,486)
0 8,486
42 📉
(Org: 41)
(8,311)
0.03 8,311
43 📉
(Org: 40)
(8,083)
0 8,083
44 📉
(Org: 43)
(7,642)
0.03 7,642
45 📈
(Org: 80)
(7,582)
0.45 7,582
46 📉
(Org: 42)
(7,554)
0 7,554
47 📉
(Org: 44)
(7,369)
0 7,369
48 📉
(Org: 45)
(7,278)
0.01 7,278
49 📈
(Org: 50)
(7,128)
0.13 7,128
50 📉
(Org: 47)
(6,929)
0.02 6,929
51 📉
(Org: 46)
(6,915)
0 6,915
52 📈
(Org: 62)
(6,709)
0.24 6,709
53 📈
(Org: 79)
(6,678)
0.37 6,678
54 📉
(Org: 51)
(6,093)
0.02 6,093
55 📉
(Org: 53)
(6,048)
0.04 6,048
56 📈
(Org: 92)
(5,952)
0.34 5,952
57 📉
(Org: 54)
(5,896)
0.02 5,896
58 📈
(Org: 94)
(5,883)
0.34 5,883
59 📉
(Org: 55)
(5,823)
0.02 5,823
60 📉
(Org: 56)
(5,619)
0.02 5,619
61 📈
(Org: 95)
(5,579)
0.34 5,579
62 📈
(Org: 74)
(5,559)
0.19 5,559
63 📈
(Org: 67)
(5,431)
0.11 5,431
64 📈
(Org: 76)
(5,359)
0.2 5,359
65 📉
(Org: 58)
(5,264)
0.01 5,264
66 📉
(Org: 59)
(5,262)
0.01 5,262
67 📉
(Org: 60)
(5,190)
0 5,190
68 📉
(Org: 61)
(5,154)
0 5,154
69 📉
(Org: 66)
(5,100)
0.05 5,100
70 📈
(Org: 71)
(5,011)
0.07 5,011
71 📉
(Org: 64)
(4,980)
0 4,980
72 📉
(Org: 65)
(4,978)
0.02 4,978
73 📈
(Org: 108)
(4,973)
0.39 4,973
74 📉
(Org: 68)
(4,940)
0.02 4,940
75 ➡️
(Org: 75)
(4,822)
0.07 4,822
76 📉
(Org: 69)
(4,745)
0 4,745
77 📉
(Org: 73)
(4,709)
0.04 4,709
78 📉
(Org: 70)
(4,706)
- 4,706
79 📉
(Org: 77)
(4,287)
0 4,287
80 📈
(Org: 93)
(4,200)
0.07 4,200
81 📈
(Org: 82)
(4,187)
0.02 4,187
82 📉
(Org: 81)
(4,116)
- 4,116
83 ➡️
(Org: 83)
(4,100)
0.01 4,100
84 ➡️
(Org: 84)
(4,027)
- 4,027
85 ➡️
(Org: 85)
(4,026)
0 4,026
86 📉
(Org: 85)
(4,016)
- 4,016
87 ➡️
(Org: 87)
(3,999)
- 3,999
88 ➡️
(Org: 88)
(3,988)
0.01 3,988
89 ➡️
(Org: 89)
(3,955)
0 3,955
90 📈
(Org: 91)
(3,940)
0 3,940
91 📈
(Org: 101)
(3,866)
0.13 3,866
92 📈
(Org: 95)
(3,791)
0.03 3,791
93 📈
(Org: 97)
(3,652)
- 3,652
94 📈
(Org: 107)
(3,642)
0.17 3,642
95 📈
(Org: 98)
(3,611)
- 3,611
96 📈
(Org: 99)
(3,587)
0.01 3,587
97 📈
(Org: 100)
(3,419)
- 3,419
98 📈
(Org: 121)
(3,385)
0.29 3,385
99 📈
(Org: 106)
(3,193)
0.05 3,193
100 📈
(Org: 105)
(3,154)
0.03 3,154