Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1954 - 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)
(68,684)
0.01 68,684
2 ➡️
(Org: 2)
(57,457)
0.04 57,457
3 ➡️
(Org: 3)
(56,371)
0.03 56,371
4 📈
(Org: 5)
(53,731)
0.12 53,731
5 📉
(Org: 4)
(49,154)
0 49,154
6 ➡️
(Org: 6)
(46,473)
0.01 46,473
7 ➡️
(Org: 7)
(36,376)
0 36,376
8 ➡️
(Org: 8)
(32,809)
0.01 32,809
9 ➡️
(Org: 9)
(30,648)
0.01 30,648
10 📈
(Org: 11)
(27,994)
0.02 27,994
11 📈
(Org: 12)
(27,815)
0.02 27,815
12 📈
(Org: 32)
(27,727)
0.6 27,727
13 📉
(Org: 10)
(27,701)
0 27,701
14 📉
(Org: 13)
(26,408)
0.01 26,408
15 ➡️
(Org: 15)
(23,934)
0.07 23,934
16 📈
(Org: 23)
(23,785)
0.4 23,785
17 📉
(Org: 14)
(23,611)
0.05 23,611
18 📉
(Org: 16)
(22,570)
0.02 22,570
19 📉
(Org: 17)
(22,052)
- 22,052
20 📈
(Org: 34)
(19,689)
0.45 19,689
21 📉
(Org: 18)
(19,610)
- 19,610
22 📉
(Org: 19)
(19,355)
0.05 19,355
23 📉
(Org: 22)
(18,319)
0.18 18,319
24 📈
(Org: 40)
(18,208)
0.48 18,208
25 📈
(Org: 50)
(17,147)
0.52 17,147
26 📉
(Org: 20)
(16,894)
0.02 16,894
27 📉
(Org: 21)
(15,383)
0.01 15,383
28 📉
(Org: 24)
(13,815)
0.01 13,815
29 📉
(Org: 26)
(13,511)
0.02 13,511
30 📉
(Org: 25)
(13,505)
- 13,505
31 📈
(Org: 37)
(13,297)
0.27 13,297
32 📉
(Org: 27)
(12,338)
0.01 12,338
33 📉
(Org: 28)
(12,107)
0 12,107
34 📉
(Org: 29)
(11,830)
0.02 11,830
35 📈
(Org: 36)
(11,627)
0.09 11,627
36 📉
(Org: 30)
(11,232)
0 11,232
37 📉
(Org: 31)
(11,230)
0.01 11,230
38 📉
(Org: 35)
(11,192)
0.03 11,192
39 📉
(Org: 33)
(10,930)
0 10,930
40 📈
(Org: 88)
(10,611)
0.55 10,611
41 📈
(Org: 43)
(10,444)
0.16 10,444
42 📉
(Org: 41)
(10,351)
0.13 10,351
43 📉
(Org: 39)
(9,709)
0.01 9,709
44 📉
(Org: 38)
(9,698)
0 9,698
45 📈
(Org: 63)
(9,382)
0.28 9,382
46 📉
(Org: 45)
(9,340)
0.07 9,340
47 📈
(Org: 49)
(9,295)
0.1 9,295
48 📈
(Org: 89)
(9,272)
0.49 9,272
49 📈
(Org: 98)
(8,958)
0.52 8,958
50 📉
(Org: 42)
(8,923)
- 8,923
51 📈
(Org: 68)
(8,772)
0.26 8,772
52 📉
(Org: 44)
(8,750)
- 8,750
53 📉
(Org: 48)
(8,681)
0.03 8,681
54 📉
(Org: 46)
(8,602)
0 8,602
55 📉
(Org: 52)
(8,321)
0.03 8,321
56 📉
(Org: 53)
(8,267)
0.03 8,267
57 📈
(Org: 62)
(8,028)
0.11 8,028
58 📉
(Org: 54)
(8,001)
0 8,001
59 📉
(Org: 55)
(7,802)
0 7,802
60 📉
(Org: 56)
(7,766)
0.01 7,766
61 📉
(Org: 57)
(7,632)
0 7,632
62 📉
(Org: 58)
(7,507)
0.01 7,507
63 📉
(Org: 60)
(7,202)
- 7,202
64 📉
(Org: 61)
(7,196)
0 7,196
65 📈
(Org: 71)
(6,710)
0.09 6,710
66 📈
(Org: 67)
(6,686)
0.02 6,686
67 📉
(Org: 65)
(6,622)
0 6,622
68 📈
(Org: 115)
(6,607)
0.44 6,607
69 📉
(Org: 66)
(6,574)
0 6,574
70 📈
(Org: 72)
(6,459)
0.08 6,459
71 📉
(Org: 70)
(6,407)
0.02 6,407
72 📈
(Org: 104)
(6,284)
0.36 6,284
73 ➡️
(Org: 73)
(6,204)
0.05 6,204
74 📈
(Org: 103)
(6,161)
0.34 6,161
75 ➡️
(Org: 75)
(5,974)
0.04 5,974
76 📉
(Org: 74)
(5,923)
0.02 5,923
77 📉
(Org: 76)
(5,762)
0.04 5,762
78 📈
(Org: 79)
(5,687)
0.07 5,687
79 📈
(Org: 84)
(5,562)
0.09 5,562
80 📉
(Org: 77)
(5,482)
0 5,482
81 📈
(Org: 83)
(5,392)
0.04 5,392
82 📉
(Org: 80)
(5,298)
- 5,298
83 📉
(Org: 81)
(5,271)
- 5,271
84 📈
(Org: 92)
(5,187)
0.1 5,187
85 📈
(Org: 91)
(5,006)
0.06 5,006
86 📉
(Org: 85)
(4,983)
0 4,983
87 📉
(Org: 86)
(4,965)
- 4,965
88 📉
(Org: 87)
(4,960)
0.01 4,960
89 📈
(Org: 116)
(4,787)
0.24 4,787
90 ➡️
(Org: 90)
(4,763)
0 4,763
91 📈
(Org: 95)
(4,583)
0.04 4,583
92 📈
(Org: 93)
(4,534)
0.02 4,534
93 📈
(Org: 99)
(4,523)
0.08 4,523
94 📈
(Org: 97)
(4,426)
0.01 4,426
95 📈
(Org: 96)
(4,420)
0 4,420
96 📈
(Org: 101)
(4,239)
0.04 4,239
97 📈
(Org: 108)
(4,103)
0.03 4,103
98 📈
(Org: 107)
(4,069)
0.02 4,069
99 📈
(Org: 102)
(4,055)
0 4,055
100 📈
(Org: 109)
(4,033)
0.02 4,033