Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1973 - 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)
(63,807)
0.02 63,807
2 📈
(Org: 3)
(33,185)
0.19 33,185
3 📉
(Org: 2)
(26,964)
- 26,964
4 ➡️
(Org: 4)
(25,488)
0.08 25,488
5 📈
(Org: 6)
(23,448)
0.04 23,448
6 📉
(Org: 5)
(22,918)
0.01 22,918
7 📈
(Org: 17)
(22,189)
0.52 22,189
8 📉
(Org: 7)
(21,035)
0.01 21,035
9 📉
(Org: 8)
(19,370)
0 19,370
10 📉
(Org: 9)
(19,064)
0.09 19,064
11 📈
(Org: 20)
(17,120)
0.42 17,120
12 📈
(Org: 32)
(16,665)
0.56 16,665
13 📉
(Org: 11)
(16,498)
0.16 16,498
14 📉
(Org: 10)
(15,972)
0.07 15,972
15 📈
(Org: 18)
(14,809)
0.29 14,809
16 ➡️
(Org: 16)
(14,763)
0.26 14,763
17 📈
(Org: 73)
(13,608)
0.7 13,608
18 📉
(Org: 12)
(13,012)
0.02 13,012
19 📉
(Org: 15)
(12,945)
0.13 12,945
20 📈
(Org: 28)
(12,919)
0.34 12,919
21 📈
(Org: 25)
(12,861)
0.28 12,861
22 📉
(Org: 13)
(12,809)
0.04 12,809
23 📉
(Org: 14)
(12,509)
0.02 12,509
24 📈
(Org: 64)
(12,467)
0.65 12,467
25 📉
(Org: 19)
(11,090)
0.07 11,090
26 📈
(Org: 35)
(10,703)
0.33 10,703
27 📈
(Org: 45)
(10,406)
0.42 10,406
28 📉
(Org: 22)
(9,998)
0.02 9,998
29 📉
(Org: 21)
(9,971)
0.01 9,971
30 📉
(Org: 23)
(9,529)
0.02 9,529
31 📉
(Org: 24)
(9,408)
0.01 9,408
32 📉
(Org: 26)
(8,847)
0.01 8,847
33 📉
(Org: 29)
(8,565)
0.09 8,565
34 📉
(Org: 27)
(8,477)
- 8,477
35 📉
(Org: 31)
(7,817)
0.02 7,817
36 📉
(Org: 30)
(7,766)
- 7,766
37 📈
(Org: 46)
(7,594)
0.23 7,594
38 📈
(Org: 82)
(7,447)
0.5 7,447
39 📈
(Org: 42)
(7,335)
0.17 7,335
40 📈
(Org: 48)
(7,329)
0.21 7,329
41 📉
(Org: 34)
(7,307)
0.01 7,307
42 📉
(Org: 33)
(7,265)
- 7,265
43 📉
(Org: 36)
(7,185)
- 7,185
44 📉
(Org: 37)
(6,843)
0.02 6,843
45 📉
(Org: 39)
(6,742)
0.02 6,742
46 📈
(Org: 81)
(6,726)
0.44 6,726
47 📉
(Org: 38)
(6,634)
0 6,634
48 📉
(Org: 40)
(6,570)
0.03 6,570
49 ➡️
(Org: 49)
(6,567)
0.14 6,567
50 📈
(Org: 60)
(6,478)
0.26 6,478
51 📉
(Org: 43)
(6,272)
0.03 6,272
52 ➡️
(Org: 52)
(6,124)
0.1 6,124
53 📉
(Org: 47)
(5,938)
0.02 5,938
54 ➡️
(Org: 54)
(5,903)
0.13 5,903
55 📈
(Org: 100)
(5,670)
0.47 5,670
56 📉
(Org: 50)
(5,632)
- 5,632
57 📉
(Org: 51)
(5,626)
- 5,626
58 📉
(Org: 53)
(5,379)
- 5,379
59 📈
(Org: 105)
(5,301)
0.45 5,301
60 📉
(Org: 55)
(5,258)
0.04 5,258
61 📉
(Org: 56)
(5,233)
0.05 5,233
62 📉
(Org: 57)
(5,214)
0.05 5,214
63 📉
(Org: 61)
(5,173)
0.09 5,173
64 📉
(Org: 59)
(5,119)
0.04 5,119
65 📈
(Org: 148)
(4,945)
0.62 4,945
66 📈
(Org: 70)
(4,916)
0.15 4,916
67 📈
(Org: 74)
(4,843)
0.17 4,843
68 ➡️
(Org: 68)
(4,691)
0.09 4,691
69 📈
(Org: 75)
(4,610)
0.14 4,610
70 📉
(Org: 62)
(4,564)
0.01 4,564
71 📈
(Org: 124)
(4,522)
0.48 4,522
72 📉
(Org: 65)
(4,491)
0.02 4,491
73 📈
(Org: 88)
(4,438)
0.21 4,438
74 📉
(Org: 63)
(4,434)
- 4,434
75 📈
(Org: 76)
(4,360)
0.09 4,360
76 📉
(Org: 66)
(4,343)
0.01 4,343
77 📈
(Org: 83)
(4,304)
0.14 4,304
78 📉
(Org: 72)
(4,244)
0.02 4,244
79 📉
(Org: 71)
(4,208)
0.01 4,208
80 📈
(Org: 112)
(4,103)
0.33 4,103
81 📈
(Org: 165)
(4,076)
0.59 4,076
82 📈
(Org: 90)
(4,059)
0.14 4,059
83 📉
(Org: 77)
(4,053)
0.03 4,053
84 📉
(Org: 79)
(4,015)
0.03 4,015
85 📉
(Org: 80)
(3,846)
- 3,846
86 📈
(Org: 91)
(3,805)
0.1 3,805
87 📈
(Org: 114)
(3,797)
0.29 3,797
88 📈
(Org: 137)
(3,770)
0.45 3,770
89 📈
(Org: 120)
(3,738)
0.34 3,738
90 📉
(Org: 84)
(3,735)
0.02 3,735
91 📈
(Org: 92)
(3,580)
0.08 3,580
92 📉
(Org: 85)
(3,540)
0.01 3,540
93 📉
(Org: 86)
(3,514)
0 3,514
94 📈
(Org: 104)
(3,512)
0.17 3,512
95 📉
(Org: 87)
(3,509)
0 3,509
96 📈
(Org: 111)
(3,485)
0.2 3,485
97 📈
(Org: 103)
(3,371)
0.12 3,371
98 📈
(Org: 123)
(3,272)
0.27 3,272
99 📉
(Org: 93)
(3,255)
- 3,255
100 📈
(Org: 143)
(3,239)
0.4 3,239