Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1941 - 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)
(58,246)
0 58,246
2 ➡️
(Org: 2)
(39,554)
0 39,554
3 ➡️
(Org: 3)
(36,904)
- 36,904
4 ➡️
(Org: 4)
(29,505)
0.18 29,505
5 ➡️
(Org: 5)
(25,240)
0.06 25,240
6 ➡️
(Org: 6)
(23,442)
0.01 23,442
7 ➡️
(Org: 7)
(23,137)
0.1 23,137
8 📈
(Org: 17)
(22,426)
0.4 22,426
9 📉
(Org: 8)
(21,046)
0.01 21,046
10 📉
(Org: 9)
(20,090)
0.03 20,090
11 📉
(Org: 10)
(16,980)
0 16,980
12 📉
(Org: 11)
(16,496)
0.01 16,496
13 📉
(Org: 12)
(15,904)
0.01 15,904
14 📉
(Org: 13)
(15,697)
0 15,697
15 ➡️
(Org: 15)
(14,804)
0.04 14,804
16 📉
(Org: 14)
(14,592)
0 14,592
17 📉
(Org: 16)
(14,522)
0.04 14,522
18 📈
(Org: 27)
(12,084)
0.26 12,084
19 📈
(Org: 51)
(11,553)
0.58 11,553
20 📉
(Org: 18)
(11,526)
0.03 11,526
21 📉
(Org: 19)
(11,012)
0.02 11,012
22 📉
(Org: 20)
(10,771)
0.03 10,771
23 📉
(Org: 21)
(10,453)
0.02 10,453
24 ➡️
(Org: 24)
(10,426)
0.05 10,426
25 📉
(Org: 23)
(10,064)
0 10,064
26 📉
(Org: 22)
(10,061)
- 10,061
27 📉
(Org: 25)
(9,163)
0 9,163
28 📈
(Org: 30)
(9,058)
0.06 9,058
29 📉
(Org: 26)
(9,008)
- 9,008
30 📉
(Org: 28)
(8,876)
0 8,876
31 ➡️
(Org: 31)
(8,801)
0.04 8,801
32 📉
(Org: 29)
(8,786)
0.01 8,786
33 📉
(Org: 32)
(7,960)
0.02 7,960
34 📉
(Org: 33)
(7,878)
0.01 7,878
35 ➡️
(Org: 35)
(7,521)
0.02 7,521
36 📉
(Org: 34)
(7,445)
- 7,445
37 📉
(Org: 36)
(7,400)
0.03 7,400
38 ➡️
(Org: 38)
(7,189)
0.02 7,189
39 📉
(Org: 37)
(7,122)
- 7,122
40 📉
(Org: 39)
(6,801)
0.04 6,801
41 📉
(Org: 40)
(6,428)
- 6,428
42 📉
(Org: 41)
(6,332)
- 6,332
43 📉
(Org: 42)
(6,226)
0.01 6,226
44 📉
(Org: 43)
(6,196)
0.01 6,196
45 📈
(Org: 60)
(6,054)
0.34 6,054
46 📈
(Org: 74)
(5,744)
0.41 5,744
47 📉
(Org: 45)
(5,507)
0.05 5,507
48 📉
(Org: 44)
(5,454)
0.01 5,454
49 📉
(Org: 46)
(5,324)
0.04 5,324
50 📉
(Org: 47)
(5,046)
0 5,046
51 📉
(Org: 50)
(5,035)
0.02 5,035
52 📈
(Org: 68)
(4,995)
0.28 4,995
53 📉
(Org: 49)
(4,954)
- 4,954
54 📉
(Org: 52)
(4,788)
- 4,788
55 📉
(Org: 53)
(4,758)
0 4,758
56 📉
(Org: 55)
(4,572)
0 4,572
57 📈
(Org: 61)
(4,510)
0.12 4,510
58 📉
(Org: 56)
(4,432)
- 4,432
59 📈
(Org: 73)
(4,404)
0.23 4,404
60 📉
(Org: 57)
(4,384)
- 4,384
61 📉
(Org: 59)
(4,073)
- 4,073
62 📈
(Org: 66)
(3,983)
0.06 3,983
63 ➡️
(Org: 63)
(3,981)
0.03 3,981
64 📈
(Org: 70)
(3,944)
0.1 3,944
65 📉
(Org: 62)
(3,920)
0 3,920
66 📉
(Org: 64)
(3,847)
- 3,847
67 📈
(Org: 94)
(3,845)
0.3 3,845
68 📉
(Org: 65)
(3,837)
0.01 3,837
69 ➡️
(Org: 69)
(3,724)
0.04 3,724
70 📉
(Org: 67)
(3,694)
0.01 3,694
71 📈
(Org: 78)
(3,649)
0.11 3,649
72 📉
(Org: 71)
(3,635)
0.03 3,635
73 📈
(Org: 77)
(3,626)
0.09 3,626
74 📈
(Org: 76)
(3,600)
0.07 3,600
75 📈
(Org: 98)
(3,549)
0.27 3,549
76 📈
(Org: 95)
(3,432)
0.22 3,432
77 📉
(Org: 72)
(3,402)
0 3,402
78 📉
(Org: 75)
(3,365)
0 3,365
79 📈
(Org: 81)
(3,302)
0.06 3,302
80 📈
(Org: 83)
(3,287)
0.07 3,287
81 📉
(Org: 79)
(3,237)
0.01 3,237
82 📉
(Org: 80)
(3,160)
- 3,160
83 📉
(Org: 82)
(3,097)
- 3,097
84 ➡️
(Org: 84)
(3,045)
- 3,045
85 📈
(Org: 86)
(3,008)
0.03 3,008
86 📈
(Org: 93)
(2,908)
0.08 2,908
87 📈
(Org: 142)
(2,861)
0.41 2,861
88 ➡️
(Org: 88)
(2,845)
- 2,845
89 ➡️
(Org: 89)
(2,834)
- 2,834
90 ➡️
(Org: 90)
(2,766)
- 2,766
91 📈
(Org: 92)
(2,748)
0.01 2,748
92 📉
(Org: 91)
(2,741)
- 2,741
93 📈
(Org: 101)
(2,707)
0.09 2,707
94 📈
(Org: 96)
(2,643)
- 2,643
95 📈
(Org: 99)
(2,568)
0.01 2,568
96 📈
(Org: 115)
(2,545)
0.11 2,545
96 📈
(Org: 125)
(2,545)
0.19 2,545
98 📈
(Org: 100)
(2,544)
- 2,544
99 📈
(Org: 102)
(2,495)
0.01 2,495
100 📈
(Org: 103)
(2,493)
0.01 2,493