Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1939 - 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)
(55,085)
0 55,085
2 ➡️
(Org: 2)
(37,263)
0 37,263
3 ➡️
(Org: 3)
(29,701)
- 29,701
4 ➡️
(Org: 4)
(25,831)
0.08 25,831
5 📈
(Org: 6)
(25,148)
0.2 25,148
6 📈
(Org: 11)
(22,443)
0.37 22,443
7 📉
(Org: 5)
(20,475)
0 20,475
8 📉
(Org: 7)
(19,913)
0.01 19,913
9 📉
(Org: 8)
(16,696)
0 16,696
10 📉
(Org: 9)
(15,215)
0 15,215
11 📉
(Org: 10)
(15,179)
0.02 15,179
12 ➡️
(Org: 12)
(13,408)
0 13,408
13 ➡️
(Org: 13)
(12,379)
0.03 12,379
14 📈
(Org: 15)
(11,496)
0.07 11,496
15 📉
(Org: 14)
(11,439)
0.01 11,439
16 ➡️
(Org: 16)
(10,921)
0.05 10,921
17 ➡️
(Org: 17)
(10,520)
0.04 10,520
18 📈
(Org: 49)
(10,101)
0.55 10,101
19 ➡️
(Org: 19)
(9,974)
0.04 9,974
20 📉
(Org: 18)
(9,889)
0.02 9,889
21 📉
(Org: 20)
(9,649)
0.03 9,649
22 📈
(Org: 23)
(9,412)
0.04 9,412
23 📉
(Org: 21)
(9,246)
0 9,246
24 📉
(Org: 22)
(9,080)
0 9,080
25 📈
(Org: 26)
(8,888)
0.03 8,888
26 📉
(Org: 24)
(8,779)
- 8,779
27 📉
(Org: 25)
(8,765)
0.01 8,765
28 📉
(Org: 27)
(8,501)
0 8,501
29 📉
(Org: 28)
(8,394)
0.04 8,394
30 📉
(Org: 29)
(7,806)
0.02 7,806
31 📉
(Org: 30)
(7,779)
0.02 7,779
32 ➡️
(Org: 32)
(7,410)
0.02 7,410
33 📉
(Org: 31)
(7,366)
- 7,366
34 📈
(Org: 44)
(7,337)
0.33 7,337
35 📉
(Org: 33)
(6,551)
- 6,551
36 📉
(Org: 34)
(6,288)
0.04 6,288
37 📉
(Org: 35)
(6,157)
0.02 6,157
38 📉
(Org: 37)
(5,950)
0.01 5,950
39 📉
(Org: 36)
(5,939)
- 5,939
40 📉
(Org: 38)
(5,850)
0 5,850
41 📈
(Org: 74)
(5,709)
0.42 5,709
42 📉
(Org: 39)
(5,604)
0.01 5,604
43 📈
(Org: 68)
(5,552)
0.34 5,552
44 📉
(Org: 41)
(5,476)
0.06 5,476
45 📉
(Org: 40)
(5,418)
0.02 5,418
46 📉
(Org: 42)
(5,040)
- 5,040
47 📉
(Org: 46)
(4,948)
0.04 4,948
48 📉
(Org: 43)
(4,929)
- 4,929
49 📉
(Org: 45)
(4,824)
0.01 4,824
50 📉
(Org: 48)
(4,821)
0.03 4,821
51 📈
(Org: 52)
(4,813)
0.12 4,813
52 📉
(Org: 50)
(4,585)
0.01 4,585
53 📈
(Org: 73)
(4,521)
0.26 4,521
54 📈
(Org: 72)
(4,348)
0.22 4,348
55 📉
(Org: 51)
(4,339)
- 4,339
56 📈
(Org: 63)
(4,257)
0.11 4,257
57 📉
(Org: 54)
(4,155)
- 4,155
58 📉
(Org: 55)
(4,137)
- 4,137
59 📉
(Org: 56)
(4,110)
- 4,110
60 📈
(Org: 64)
(4,041)
0.07 4,041
61 📉
(Org: 60)
(4,034)
0.03 4,034
62 📈
(Org: 69)
(4,004)
0.11 4,004
63 📈
(Org: 65)
(3,995)
0.06 3,995
64 📉
(Org: 58)
(3,980)
- 3,980
65 📉
(Org: 59)
(3,971)
0 3,971
66 📉
(Org: 61)
(3,929)
0.01 3,929
66 📉
(Org: 62)
(3,929)
0.02 3,929
68 📈
(Org: 82)
(3,916)
0.26 3,916
69 📉
(Org: 67)
(3,831)
0.03 3,831
70 ➡️
(Org: 70)
(3,773)
0.07 3,773
71 📉
(Org: 66)
(3,746)
0 3,746
72 📈
(Org: 93)
(3,694)
0.29 3,694
73 📈
(Org: 76)
(3,607)
0.1 3,607
74 📈
(Org: 75)
(3,532)
0.07 3,532
75 📉
(Org: 71)
(3,423)
0 3,423
76 📈
(Org: 94)
(3,294)
0.21 3,294
77 📈
(Org: 78)
(3,286)
0.03 3,286
78 📉
(Org: 77)
(3,212)
- 3,212
79 📈
(Org: 80)
(3,030)
0.01 3,030
80 📉
(Org: 79)
(3,018)
- 3,018
81 ➡️
(Org: 81)
(2,904)
- 2,904
82 📈
(Org: 83)
(2,867)
- 2,867
83 📈
(Org: 84)
(2,852)
0.01 2,852
84 📈
(Org: 95)
(2,806)
0.08 2,806
85 ➡️
(Org: 85)
(2,769)
- 2,769
86 ➡️
(Org: 86)
(2,756)
- 2,756
87 ➡️
(Org: 87)
(2,717)
0.01 2,717
88 📈
(Org: 89)
(2,702)
0.01 2,702
89 📉
(Org: 88)
(2,696)
- 2,696
90 ➡️
(Org: 90)
(2,662)
0.01 2,662
91 📈
(Org: 107)
(2,657)
0.11 2,657
92 📈
(Org: 98)
(2,654)
0.03 2,654
93 📉
(Org: 91)
(2,635)
- 2,635
94 📈
(Org: 130)
(2,630)
0.3 2,630
94 📉
(Org: 92)
(2,630)
0 2,630
96 ➡️
(Org: 96)
(2,615)
0.01 2,615
97 ➡️
(Org: 97)
(2,594)
0 2,594
98 📈
(Org: 99)
(2,574)
0.01 2,574
99 📈
(Org: 110)
(2,501)
0.08 2,501
100 ➡️
(Org: 100)
(2,496)
- 2,496