Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1940 - 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)
(56,404)
0 56,404
2 ➡️
(Org: 2)
(36,748)
0 36,748
3 ➡️
(Org: 3)
(32,667)
- 32,667
4 📈
(Org: 6)
(26,910)
0.19 26,910
5 ➡️
(Org: 5)
(24,279)
0.09 24,279
6 📉
(Org: 4)
(22,476)
0 22,476
7 📈
(Org: 14)
(21,570)
0.38 21,570
8 📉
(Org: 7)
(19,909)
0.01 19,909
9 📉
(Org: 8)
(19,656)
0.07 19,656
10 📉
(Org: 9)
(17,909)
0 17,909
11 📉
(Org: 10)
(16,639)
0.03 16,639
12 📉
(Org: 11)
(15,280)
0.01 15,280
13 📉
(Org: 12)
(14,898)
0 14,898
14 📉
(Org: 13)
(14,820)
0 14,820
15 ➡️
(Org: 15)
(12,840)
0.01 12,840
16 ➡️
(Org: 16)
(11,902)
0.04 11,902
17 ➡️
(Org: 17)
(11,598)
0.04 11,598
18 ➡️
(Org: 18)
(10,729)
0.05 10,729
19 ➡️
(Org: 19)
(10,502)
0.04 10,502
20 📈
(Org: 53)
(10,407)
0.56 10,407
21 📉
(Org: 20)
(10,123)
0.02 10,123
22 📈
(Org: 36)
(9,588)
0.3 9,588
23 📉
(Org: 21)
(9,570)
0 9,570
24 📉
(Org: 23)
(9,526)
0.03 9,526
25 📉
(Org: 22)
(9,318)
- 9,318
26 📉
(Org: 25)
(9,180)
0.05 9,180
27 📈
(Org: 28)
(8,958)
0.04 8,958
28 📉
(Org: 24)
(8,903)
0 8,903
29 📉
(Org: 27)
(8,723)
0.01 8,723
30 📉
(Org: 26)
(8,702)
0 8,702
31 📉
(Org: 29)
(8,169)
0.01 8,169
32 📉
(Org: 30)
(8,026)
- 8,026
33 📉
(Org: 31)
(7,879)
0.01 7,879
34 📉
(Org: 32)
(7,603)
- 7,603
35 📉
(Org: 33)
(7,590)
0.02 7,590
36 📉
(Org: 34)
(7,393)
0.01 7,393
37 📉
(Org: 35)
(7,196)
- 7,196
38 📉
(Org: 37)
(6,336)
0.03 6,336
39 📉
(Org: 38)
(6,241)
0.02 6,241
40 📉
(Org: 39)
(6,054)
0.02 6,054
41 📈
(Org: 60)
(5,961)
0.35 5,961
42 📉
(Org: 40)
(5,892)
0.03 5,892
43 📈
(Org: 73)
(5,630)
0.4 5,630
44 📉
(Org: 41)
(5,590)
0.01 5,590
45 📈
(Org: 46)
(5,447)
0.05 5,447
46 📉
(Org: 42)
(5,442)
- 5,442
47 📉
(Org: 43)
(5,360)
0 5,360
48 📉
(Org: 47)
(5,317)
0.04 5,317
49 📉
(Org: 44)
(5,198)
- 5,198
50 📉
(Org: 45)
(5,172)
- 5,172
51 📈
(Org: 65)
(5,132)
0.29 5,132
52 📉
(Org: 48)
(5,093)
0.02 5,093
53 📉
(Org: 50)
(4,843)
0.01 4,843
54 📉
(Org: 52)
(4,727)
0 4,727
55 📉
(Org: 51)
(4,723)
0 4,723
56 📈
(Org: 61)
(4,319)
0.12 4,319
57 📉
(Org: 55)
(4,296)
0 4,296
58 📉
(Org: 56)
(4,216)
- 4,216
59 📈
(Org: 76)
(4,127)
0.22 4,127
60 📉
(Org: 57)
(4,078)
- 4,078
61 📈
(Org: 68)
(4,042)
0.11 4,042
62 📈
(Org: 85)
(4,003)
0.28 4,003
63 📉
(Org: 59)
(3,939)
0 3,939
64 📉
(Org: 58)
(3,938)
- 3,938
65 📉
(Org: 62)
(3,850)
0.01 3,850
66 📉
(Org: 64)
(3,821)
0.04 3,821
67 📈
(Org: 90)
(3,772)
0.28 3,772
68 📈
(Org: 69)
(3,728)
0.06 3,728
69 📉
(Org: 66)
(3,723)
0.03 3,723
70 📈
(Org: 72)
(3,644)
0.06 3,644
71 📉
(Org: 67)
(3,604)
- 3,604
72 📈
(Org: 77)
(3,572)
0.1 3,572
73 📈
(Org: 75)
(3,525)
0.08 3,525
74 📉
(Org: 70)
(3,509)
0.02 3,509
75 📉
(Org: 71)
(3,439)
0 3,439
76 📈
(Org: 80)
(3,410)
0.09 3,410
77 📈
(Org: 79)
(3,346)
0.07 3,346
78 📉
(Org: 74)
(3,334)
0 3,334
79 📉
(Org: 78)
(3,174)
- 3,174
80 📈
(Org: 102)
(3,154)
0.23 3,154
81 ➡️
(Org: 81)
(3,106)
- 3,106
82 ➡️
(Org: 82)
(2,949)
- 2,949
83 ➡️
(Org: 83)
(2,929)
- 2,929
84 ➡️
(Org: 84)
(2,897)
- 2,897
85 📈
(Org: 86)
(2,836)
- 2,836
86 📈
(Org: 87)
(2,828)
- 2,828
87 📈
(Org: 88)
(2,808)
0 2,808
88 📈
(Org: 95)
(2,790)
0.08 2,790
89 ➡️
(Org: 89)
(2,763)
0.01 2,763
90 📈
(Org: 92)
(2,708)
- 2,708
91 📈
(Org: 142)
(2,649)
0.36 2,649
92 📈
(Org: 93)
(2,643)
0.01 2,643
93 📈
(Org: 108)
(2,630)
0.11 2,630
94 ➡️
(Org: 94)
(2,625)
0.01 2,625
95 📈
(Org: 96)
(2,613)
0.02 2,613
96 📈
(Org: 99)
(2,584)
0.03 2,584
97 ➡️
(Org: 97)
(2,544)
0.01 2,544
98 ➡️
(Org: 98)
(2,510)
- 2,510
99 📈
(Org: 100)
(2,487)
0.01 2,487
100 📈
(Org: 101)
(2,461)
- 2,461