Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1961 - 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)
(48,276)
0.01 48,276
2 📈
(Org: 3)
(45,162)
0.17 45,162
3 📉
(Org: 2)
(43,330)
0.01 43,330
4 ➡️
(Org: 4)
(37,679)
0.06 37,679
5 📈
(Org: 14)
(36,372)
0.4 36,372
6 📉
(Org: 5)
(35,078)
0.01 35,078
7 📈
(Org: 18)
(31,377)
0.4 31,377
8 📉
(Org: 7)
(29,141)
0.02 29,141
9 📉
(Org: 6)
(28,899)
0 28,899
10 📈
(Org: 25)
(26,209)
0.37 26,209
11 📉
(Org: 10)
(25,711)
0.06 25,711
12 📉
(Org: 8)
(24,525)
0.01 24,525
13 📉
(Org: 9)
(24,494)
0.01 24,494
14 📉
(Org: 11)
(23,781)
- 23,781
15 📉
(Org: 12)
(23,013)
0 23,013
16 📉
(Org: 13)
(22,469)
0.01 22,469
17 📉
(Org: 15)
(22,041)
0.02 22,041
18 📈
(Org: 20)
(21,714)
0.16 21,714
19 📈
(Org: 48)
(21,553)
0.57 21,553
20 📉
(Org: 16)
(21,026)
0.01 21,026
21 📉
(Org: 17)
(20,804)
0.02 20,804
22 📈
(Org: 34)
(19,979)
0.36 19,979
23 📉
(Org: 22)
(19,363)
0.1 19,363
24 📉
(Org: 19)
(19,310)
0.02 19,310
25 📉
(Org: 21)
(19,264)
0.07 19,264
26 📉
(Org: 24)
(18,476)
0.1 18,476
27 📈
(Org: 28)
(18,191)
0.15 18,191
28 📉
(Org: 27)
(17,758)
0.12 17,758
29 📉
(Org: 23)
(17,450)
0.02 17,450
30 📉
(Org: 29)
(16,571)
0.07 16,571
31 📈
(Org: 51)
(16,499)
0.47 16,499
32 📉
(Org: 26)
(16,204)
- 16,204
33 📉
(Org: 31)
(15,976)
0.07 15,976
34 📉
(Org: 30)
(15,457)
0 15,457
35 📉
(Org: 32)
(14,649)
0.05 14,649
36 📉
(Org: 33)
(14,271)
0.06 14,271
37 📈
(Org: 89)
(13,759)
0.6 13,759
38 📈
(Org: 39)
(13,357)
0.21 13,357
39 📉
(Org: 37)
(13,225)
0.17 13,225
40 📈
(Org: 45)
(13,104)
0.26 13,104
41 📈
(Org: 76)
(13,100)
0.54 13,100
42 📈
(Org: 64)
(11,516)
0.39 11,516
43 📉
(Org: 36)
(11,368)
- 11,368
44 📈
(Org: 46)
(11,007)
0.14 11,007
45 📉
(Org: 38)
(10,878)
0 10,878
46 📉
(Org: 41)
(10,713)
0.02 10,713
47 📉
(Org: 40)
(10,687)
0.01 10,687
48 📉
(Org: 42)
(10,677)
0.02 10,677
49 📉
(Org: 44)
(10,567)
0.03 10,567
50 📉
(Org: 47)
(9,631)
0.04 9,631
51 📉
(Org: 49)
(9,299)
0.02 9,299
52 📉
(Org: 50)
(9,132)
0.02 9,132
53 📈
(Org: 71)
(9,116)
0.29 9,116
54 📉
(Org: 53)
(8,855)
0.06 8,855
55 📉
(Org: 52)
(8,724)
- 8,724
56 📈
(Org: 58)
(8,456)
0.06 8,456
57 📉
(Org: 54)
(8,218)
- 8,218
58 📉
(Org: 56)
(8,203)
0 8,203
59 📉
(Org: 57)
(7,963)
0 7,963
60 📉
(Org: 59)
(7,800)
- 7,800
61 📉
(Org: 60)
(7,760)
0 7,760
62 📈
(Org: 77)
(7,688)
0.24 7,688
63 📉
(Org: 61)
(7,534)
0.05 7,534
64 📈
(Org: 72)
(7,374)
0.14 7,374
65 📉
(Org: 62)
(7,011)
0 7,011
66 📈
(Org: 94)
(6,924)
0.28 6,924
67 📉
(Org: 65)
(6,749)
0 6,749
68 📉
(Org: 66)
(6,725)
0 6,725
69 📉
(Org: 67)
(6,705)
0 6,705
70 📉
(Org: 69)
(6,610)
- 6,610
71 📉
(Org: 70)
(6,532)
0.01 6,532
72 📈
(Org: 113)
(6,408)
0.34 6,408
73 📈
(Org: 75)
(6,264)
0.04 6,264
74 📉
(Org: 73)
(6,247)
0.01 6,247
75 📈
(Org: 78)
(6,219)
0.06 6,219
76 📉
(Org: 74)
(6,171)
0.01 6,171
77 📈
(Org: 80)
(6,071)
0.06 6,071
78 📈
(Org: 84)
(5,998)
0.05 5,998
79 📈
(Org: 87)
(5,965)
0.06 5,965
80 📈
(Org: 168)
(5,915)
0.58 5,915
81 📉
(Org: 79)
(5,782)
- 5,782
82 📉
(Org: 81)
(5,724)
- 5,724
83 📈
(Org: 131)
(5,717)
0.39 5,717
84 📉
(Org: 83)
(5,701)
0 5,701
85 📉
(Org: 82)
(5,691)
- 5,691
86 📈
(Org: 88)
(5,682)
0.02 5,682
87 📉
(Org: 85)
(5,645)
0 5,645
88 📈
(Org: 90)
(5,521)
- 5,521
89 📈
(Org: 91)
(5,513)
0 5,513
90 📈
(Org: 92)
(5,430)
0.01 5,430
91 📈
(Org: 95)
(5,116)
0.04 5,116
92 📈
(Org: 106)
(5,023)
0.1 5,023
93 📈
(Org: 157)
(4,971)
0.47 4,971
94 📈
(Org: 96)
(4,911)
0 4,911
95 📈
(Org: 97)
(4,864)
0 4,864
96 📈
(Org: 101)
(4,851)
0.04 4,851
97 📈
(Org: 98)
(4,768)
0 4,768
98 📈
(Org: 99)
(4,740)
0 4,740
99 📈
(Org: 109)
(4,692)
0.08 4,692
100 📈
(Org: 105)
(4,677)
0.03 4,677