Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1950 - 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)
(83,774)
0.04 83,774
2 ➡️
(Org: 2)
(65,992)
0.01 65,992
3 ➡️
(Org: 3)
(47,956)
0 47,956
4 📈
(Org: 5)
(44,461)
0.14 44,461
5 📉
(Org: 4)
(41,564)
0 41,564
6 ➡️
(Org: 6)
(29,986)
0.01 29,986
7 ➡️
(Org: 7)
(29,616)
0.02 29,616
8 ➡️
(Org: 8)
(29,404)
0.02 29,404
9 ➡️
(Org: 9)
(28,631)
0.09 28,631
10 ➡️
(Org: 10)
(26,813)
0.04 26,813
11 📈
(Org: 34)
(25,412)
0.62 25,412
12 📉
(Org: 11)
(25,122)
0.02 25,122
13 📉
(Org: 12)
(24,381)
0.01 24,381
14 📉
(Org: 13)
(22,067)
0.02 22,067
15 📉
(Org: 14)
(20,798)
- 20,798
16 📉
(Org: 15)
(18,320)
0.01 18,320
17 📈
(Org: 40)
(18,065)
0.51 18,065
18 📉
(Org: 16)
(17,636)
- 17,636
19 📉
(Org: 18)
(16,900)
0.04 16,900
20 📉
(Org: 17)
(16,484)
0.02 16,484
21 📉
(Org: 19)
(15,915)
0 15,915
22 📉
(Org: 20)
(15,783)
0.01 15,783
23 📈
(Org: 38)
(15,540)
0.42 15,540
24 📉
(Org: 21)
(15,406)
0 15,406
25 📈
(Org: 26)
(15,010)
0.09 15,010
25 📉
(Org: 22)
(15,010)
- 15,010
27 📈
(Org: 28)
(14,665)
0.14 14,665
28 📉
(Org: 24)
(14,569)
0.02 14,569
29 📉
(Org: 25)
(14,523)
0.02 14,523
30 📉
(Org: 23)
(14,485)
0 14,485
31 📉
(Org: 29)
(14,281)
0.17 14,281
32 📉
(Org: 27)
(13,434)
0 13,434
33 📈
(Org: 42)
(11,435)
0.27 11,435
34 📉
(Org: 30)
(11,042)
0 11,042
35 📈
(Org: 61)
(10,730)
0.46 10,730
36 📉
(Org: 31)
(10,585)
0.01 10,585
37 📈
(Org: 65)
(10,501)
0.46 10,501
38 📉
(Org: 33)
(9,902)
0.02 9,902
39 📉
(Org: 32)
(9,844)
0 9,844
40 📉
(Org: 37)
(9,784)
0.05 9,784
41 📉
(Org: 36)
(9,590)
0.02 9,590
42 📉
(Org: 39)
(9,577)
0.06 9,577
43 📉
(Org: 35)
(9,569)
0 9,569
44 📈
(Org: 55)
(8,787)
0.27 8,787
45 📉
(Org: 41)
(8,751)
0.03 8,751
46 📉
(Org: 43)
(8,324)
0 8,324
47 📉
(Org: 44)
(8,213)
0.01 8,213
48 📈
(Org: 91)
(7,943)
0.51 7,943
49 📉
(Org: 45)
(7,921)
- 7,921
50 ➡️
(Org: 50)
(7,631)
0.07 7,631
51 📉
(Org: 48)
(7,562)
0.02 7,562
52 📉
(Org: 47)
(7,459)
0 7,459
53 📉
(Org: 51)
(7,241)
0.04 7,241
54 📈
(Org: 76)
(7,185)
0.3 7,185
55 📉
(Org: 49)
(7,148)
0 7,148
56 📉
(Org: 53)
(6,969)
0.04 6,969
57 📉
(Org: 52)
(6,964)
0.01 6,964
58 📉
(Org: 54)
(6,645)
0 6,645
59 📉
(Org: 56)
(6,540)
0.02 6,540
60 📉
(Org: 59)
(6,447)
0.04 6,447
61 📉
(Org: 57)
(6,363)
- 6,363
62 📈
(Org: 63)
(6,256)
0.08 6,256
63 📈
(Org: 88)
(6,208)
0.33 6,208
64 📉
(Org: 60)
(6,123)
0.01 6,123
65 📉
(Org: 62)
(5,987)
0.03 5,987
66 📉
(Org: 64)
(5,880)
0.03 5,880
67 📉
(Org: 66)
(5,589)
0 5,589
68 📈
(Org: 72)
(5,460)
0.04 5,460
69 📉
(Org: 68)
(5,400)
- 5,400
70 📈
(Org: 78)
(5,392)
0.1 5,392
71 📉
(Org: 69)
(5,382)
0 5,382
72 📉
(Org: 70)
(5,322)
- 5,322
73 📈
(Org: 79)
(5,147)
0.06 5,147
74 ➡️
(Org: 74)
(5,143)
0.02 5,143
75 📉
(Org: 73)
(5,104)
0.01 5,104
76 📈
(Org: 77)
(4,971)
0 4,971
77 📈
(Org: 90)
(4,928)
0.2 4,928
78 📈
(Org: 80)
(4,751)
0 4,751
79 📈
(Org: 83)
(4,619)
0.02 4,619
80 📈
(Org: 82)
(4,538)
0.01 4,538
81 📈
(Org: 84)
(4,459)
- 4,459
82 📈
(Org: 85)
(4,441)
- 4,441
83 📈
(Org: 127)
(4,351)
0.42 4,351
84 📈
(Org: 86)
(4,346)
0.02 4,346
85 📈
(Org: 101)
(4,302)
0.2 4,302
86 📈
(Org: 87)
(4,232)
0 4,232
87 📈
(Org: 128)
(4,159)
0.4 4,159
88 📈
(Org: 89)
(4,157)
0.02 4,157
89 📈
(Org: 103)
(4,149)
0.17 4,149
90 📈
(Org: 93)
(3,820)
0 3,820
91 📈
(Org: 95)
(3,813)
0.02 3,813
92 📈
(Org: 94)
(3,786)
0 3,786
93 📈
(Org: 97)
(3,723)
0.03 3,723
94 📈
(Org: 96)
(3,645)
0 3,645
95 📈
(Org: 102)
(3,635)
0.05 3,635
96 📈
(Org: 105)
(3,592)
0.07 3,592
97 📈
(Org: 99)
(3,573)
- 3,573
98 📈
(Org: 100)
(3,518)
0 3,518
99 📈
(Org: 104)
(3,426)
0 3,426
100 📈
(Org: 112)
(3,416)
0.08 3,416