Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1962 - 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)
(46,621)
0.01 46,621
2 ➡️
(Org: 2)
(44,022)
0.01 44,022
3 ➡️
(Org: 3)
(43,655)
0.18 43,655
4 📈
(Org: 11)
(36,979)
0.39 36,979
5 📉
(Org: 4)
(35,547)
0.01 35,547
6 📉
(Org: 5)
(33,271)
0.05 33,271
7 📈
(Org: 18)
(30,078)
0.38 30,078
8 📉
(Org: 6)
(26,551)
0 26,551
9 📉
(Org: 7)
(26,183)
0.02 26,183
10 📉
(Org: 9)
(24,259)
0.06 24,259
11 📉
(Org: 8)
(24,144)
0 24,144
12 📈
(Org: 27)
(23,286)
0.37 23,286
13 📉
(Org: 10)
(22,758)
0.01 22,758
14 📈
(Org: 16)
(22,718)
0.1 22,718
15 📉
(Org: 13)
(21,595)
0.02 21,595
16 📉
(Org: 12)
(21,275)
- 21,275
17 📈
(Org: 31)
(21,034)
0.37 21,034
18 📉
(Org: 15)
(20,915)
0.02 20,915
19 📉
(Org: 14)
(20,648)
0 20,648
20 📈
(Org: 53)
(20,351)
0.57 20,351
21 📈
(Org: 24)
(20,121)
0.18 20,121
22 📉
(Org: 17)
(19,968)
0.02 19,968
23 ➡️
(Org: 23)
(19,623)
0.15 19,623
24 📉
(Org: 21)
(18,880)
0.07 18,880
25 📉
(Org: 20)
(18,305)
0.03 18,305
26 📉
(Org: 19)
(18,265)
0.01 18,265
27 📉
(Org: 22)
(17,466)
0.02 17,466
28 📉
(Org: 25)
(17,431)
0.13 17,431
29 📉
(Org: 28)
(16,049)
0.1 16,049
30 📈
(Org: 54)
(15,622)
0.46 15,622
31 📈
(Org: 38)
(15,426)
0.25 15,426
32 📉
(Org: 29)
(15,231)
0.07 15,231
33 📉
(Org: 26)
(14,819)
- 14,819
34 📈
(Org: 39)
(14,432)
0.22 14,432
35 📈
(Org: 55)
(14,205)
0.42 14,205
36 📉
(Org: 32)
(14,078)
0.07 14,078
37 📉
(Org: 30)
(14,027)
0 14,027
38 📉
(Org: 34)
(13,070)
0.06 13,070
39 📉
(Org: 33)
(13,044)
0.02 13,044
40 📉
(Org: 35)
(13,013)
0.06 13,013
41 📈
(Org: 94)
(12,194)
0.6 12,194
42 📈
(Org: 85)
(11,872)
0.56 11,872
43 📈
(Org: 44)
(11,803)
0.17 11,803
44 📉
(Org: 36)
(11,696)
0 11,696
45 📉
(Org: 37)
(11,658)
- 11,658
46 📉
(Org: 45)
(11,449)
0.14 11,449
47 📉
(Org: 41)
(11,360)
0.03 11,360
48 📉
(Org: 43)
(10,189)
0.01 10,189
49 📉
(Org: 46)
(9,866)
0.02 9,866
50 📉
(Org: 47)
(9,776)
0.04 9,776
51 📉
(Org: 48)
(9,688)
0.05 9,688
52 📉
(Org: 50)
(9,129)
0.02 9,129
53 📉
(Org: 49)
(9,112)
0 9,112
54 📉
(Org: 51)
(9,031)
0.02 9,031
55 📈
(Org: 71)
(9,014)
0.31 9,014
56 📉
(Org: 52)
(8,777)
- 8,777
57 📉
(Org: 56)
(8,123)
- 8,123
58 📉
(Org: 57)
(7,853)
0 7,853
59 📉
(Org: 58)
(7,822)
- 7,822
60 📈
(Org: 78)
(7,767)
0.25 7,767
61 📈
(Org: 63)
(7,537)
0.06 7,537
62 📈
(Org: 64)
(7,340)
0.05 7,340
63 📉
(Org: 60)
(7,203)
0 7,203
64 📉
(Org: 61)
(7,185)
- 7,185
65 📈
(Org: 73)
(7,026)
0.13 7,026
66 📈
(Org: 98)
(7,018)
0.35 7,018
67 📈
(Org: 145)
(6,877)
0.57 6,877
68 📈
(Org: 70)
(6,696)
0.07 6,696
69 📉
(Org: 68)
(6,572)
0.04 6,572
70 📉
(Org: 66)
(6,453)
0.01 6,453
71 📉
(Org: 67)
(6,362)
0 6,362
72 📉
(Org: 69)
(6,307)
0.01 6,307
73 📉
(Org: 72)
(6,203)
0.01 6,203
74 📈
(Org: 80)
(6,151)
0.06 6,151
75 ➡️
(Org: 75)
(6,124)
0.01 6,124
76 📉
(Org: 74)
(6,105)
0 6,105
77 ➡️
(Org: 77)
(6,061)
0.01 6,061
78 📈
(Org: 79)
(6,035)
0.04 6,035
79 📉
(Org: 76)
(6,013)
- 6,013
80 📈
(Org: 103)
(6,007)
0.27 6,007
81 ➡️
(Org: 81)
(5,522)
- 5,522
82 📈
(Org: 88)
(5,412)
0.06 5,412
83 📉
(Org: 82)
(5,362)
- 5,362
84 📉
(Org: 83)
(5,273)
- 5,273
85 📈
(Org: 91)
(5,272)
0.05 5,272
86 ➡️
(Org: 86)
(5,199)
0 5,199
87 ➡️
(Org: 87)
(5,158)
- 5,158
88 📈
(Org: 101)
(5,132)
0.14 5,132
89 📈
(Org: 139)
(5,129)
0.4 5,129
90 ➡️
(Org: 90)
(5,103)
- 5,103
91 📈
(Org: 97)
(5,087)
0.06 5,087
92 📈
(Org: 176)
(5,053)
0.56 5,053
93 📉
(Org: 91)
(5,010)
0 5,010
94 📉
(Org: 93)
(5,004)
0.02 5,004
95 ➡️
(Org: 95)
(4,948)
0.01 4,948
96 📈
(Org: 102)
(4,921)
0.1 4,921
97 📉
(Org: 96)
(4,870)
- 4,870
98 📈
(Org: 138)
(4,560)
0.33 4,560
99 📈
(Org: 172)
(4,547)
0.49 4,547
100 📉
(Org: 99)
(4,543)
- 4,543