Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1969 - 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)
(45,440)
0.01 45,440
2 ➡️
(Org: 2)
(45,415)
0.24 45,415
3 📈
(Org: 4)
(36,065)
0.08 36,065
4 📉
(Org: 3)
(34,485)
0.02 34,485
5 📈
(Org: 14)
(29,364)
0.43 29,364
6 📈
(Org: 17)
(25,911)
0.42 25,911
7 📈
(Org: 15)
(24,032)
0.32 24,032
8 📉
(Org: 5)
(23,860)
0.04 23,860
9 📈
(Org: 11)
(23,604)
0.25 23,604
10 📉
(Org: 9)
(21,900)
0.13 21,900
11 📉
(Org: 6)
(21,462)
- 21,462
12 📈
(Org: 20)
(21,343)
0.34 21,343
13 📉
(Org: 7)
(21,179)
0.01 21,179
14 📉
(Org: 8)
(20,156)
0.02 20,156
15 📉
(Org: 10)
(19,437)
0.08 19,437
16 📉
(Org: 12)
(18,089)
0.02 18,089
17 📉
(Org: 13)
(17,874)
0.01 17,874
18 📈
(Org: 32)
(17,590)
0.41 17,590
19 📈
(Org: 58)
(16,090)
0.62 16,090
20 📉
(Org: 19)
(15,946)
0.09 15,946
21 📈
(Org: 52)
(15,797)
0.58 15,797
22 📉
(Org: 16)
(15,786)
0.03 15,786
23 📉
(Org: 18)
(14,970)
0 14,970
24 📉
(Org: 21)
(13,909)
0.01 13,909
25 📉
(Org: 22)
(13,734)
0.01 13,734
26 📉
(Org: 23)
(13,609)
0.01 13,609
27 📉
(Org: 24)
(13,591)
0.02 13,591
28 📈
(Org: 37)
(12,472)
0.25 12,472
29 📉
(Org: 25)
(12,437)
0.02 12,437
30 📉
(Org: 27)
(11,826)
0.05 11,826
31 📉
(Org: 26)
(11,800)
0.03 11,800
32 📉
(Org: 28)
(11,534)
0.05 11,534
33 📉
(Org: 29)
(11,524)
0.08 11,524
34 📉
(Org: 33)
(11,275)
0.09 11,275
35 📈
(Org: 116)
(10,848)
0.72 10,848
36 📉
(Org: 31)
(10,744)
0.03 10,744
37 📈
(Org: 41)
(10,160)
0.18 10,160
38 📉
(Org: 34)
(10,081)
0 10,081
39 📉
(Org: 36)
(10,030)
0.03 10,030
40 📉
(Org: 35)
(9,843)
0 9,843
41 📈
(Org: 46)
(9,511)
0.21 9,511
42 📈
(Org: 44)
(9,415)
0.16 9,415
43 📉
(Org: 42)
(9,115)
0.09 9,115
44 📉
(Org: 38)
(8,989)
- 8,989
45 📉
(Org: 39)
(8,811)
- 8,811
46 📈
(Org: 47)
(8,642)
0.17 8,642
47 📉
(Org: 40)
(8,442)
0 8,442
48 📉
(Org: 43)
(8,118)
0.02 8,118
49 📈
(Org: 77)
(8,085)
0.41 8,085
50 📉
(Org: 45)
(8,053)
0.02 8,053
51 📈
(Org: 72)
(7,871)
0.35 7,871
52 📈
(Org: 62)
(7,370)
0.2 7,370
53 📉
(Org: 48)
(7,201)
- 7,201
54 📈
(Org: 95)
(6,867)
0.44 6,867
55 📉
(Org: 50)
(6,762)
0 6,762
56 ➡️
(Org: 56)
(6,759)
0.09 6,759
57 📈
(Org: 93)
(6,740)
0.42 6,740
58 📉
(Org: 51)
(6,699)
0 6,699
59 📈
(Org: 63)
(6,609)
0.11 6,609
60 📈
(Org: 64)
(6,605)
0.12 6,605
61 📉
(Org: 55)
(6,518)
0.06 6,518
62 📉
(Org: 60)
(6,274)
0.04 6,274
63 📉
(Org: 59)
(6,185)
0.02 6,185
64 📉
(Org: 54)
(6,169)
- 6,169
65 📈
(Org: 69)
(6,168)
0.15 6,168
66 📉
(Org: 57)
(6,137)
0 6,137
67 📉
(Org: 61)
(5,943)
- 5,943
68 📈
(Org: 125)
(5,942)
0.54 5,942
69 📈
(Org: 132)
(5,793)
0.55 5,793
70 📈
(Org: 91)
(5,500)
0.28 5,500
71 📉
(Org: 66)
(5,451)
- 5,451
72 📈
(Org: 74)
(5,389)
0.08 5,389
73 📈
(Org: 156)
(5,374)
0.61 5,374
74 📉
(Org: 67)
(5,255)
- 5,255
75 📉
(Org: 68)
(5,250)
0 5,250
76 📉
(Org: 71)
(5,235)
0.02 5,235
77 📈
(Org: 88)
(5,191)
0.22 5,191
78 📈
(Org: 94)
(5,185)
0.25 5,185
79 📉
(Org: 73)
(5,111)
0.01 5,111
80 📈
(Org: 84)
(4,992)
0.12 4,992
81 📉
(Org: 78)
(4,678)
0.01 4,678
82 📈
(Org: 87)
(4,657)
0.11 4,657
83 📈
(Org: 103)
(4,614)
0.21 4,614
84 📉
(Org: 80)
(4,610)
0.02 4,610
85 📈
(Org: 199)
(4,590)
0.66 4,590
86 📉
(Org: 81)
(4,545)
0 4,545
87 📈
(Org: 102)
(4,508)
0.18 4,508
88 📉
(Org: 82)
(4,480)
0 4,480
89 📉
(Org: 83)
(4,403)
0 4,403
90 📉
(Org: 85)
(4,326)
0.01 4,326
91 📉
(Org: 86)
(4,272)
0 4,272
92 📈
(Org: 176)
(4,162)
0.55 4,162
93 📈
(Org: 119)
(4,112)
0.28 4,112
94 📉
(Org: 92)
(4,095)
0.04 4,095
95 📉
(Org: 89)
(4,072)
0.02 4,072
96 📉
(Org: 90)
(3,974)
0 3,974
97 📈
(Org: 98)
(3,836)
0.02 3,836
98 📈
(Org: 118)
(3,823)
0.22 3,823
99 📉
(Org: 97)
(3,801)
- 3,801
100 📈
(Org: 109)
(3,772)
0.1 3,772