Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1926 - 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)
(67,958)
0 67,958
2 ➡️
(Org: 2)
(36,691)
0 36,691
3 ➡️
(Org: 3)
(36,155)
0.09 36,155
4 ➡️
(Org: 4)
(27,562)
0.02 27,562
5 ➡️
(Org: 5)
(23,442)
0.02 23,442
6 ➡️
(Org: 6)
(20,291)
0 20,291
7 ➡️
(Org: 7)
(16,609)
0.02 16,609
8 ➡️
(Org: 8)
(16,202)
0 16,202
9 📈
(Org: 31)
(15,441)
0.52 15,441
10 ➡️
(Org: 10)
(14,023)
0.05 14,023
11 📉
(Org: 9)
(13,548)
- 13,548
12 📉
(Org: 11)
(13,151)
0.02 13,151
13 📈
(Org: 21)
(12,806)
0.28 12,806
14 📉
(Org: 12)
(12,582)
0.03 12,582
15 📉
(Org: 13)
(12,043)
0.02 12,043
16 📉
(Org: 14)
(11,819)
0 11,819
17 📉
(Org: 15)
(11,706)
0 11,706
18 📉
(Org: 16)
(11,079)
- 11,079
19 📉
(Org: 17)
(10,964)
0 10,964
20 📉
(Org: 18)
(10,676)
0 10,676
21 📉
(Org: 19)
(9,967)
0.02 9,967
22 📉
(Org: 20)
(9,212)
0 9,212
23 📉
(Org: 22)
(8,920)
0.03 8,920
24 📉
(Org: 23)
(8,586)
- 8,586
25 📉
(Org: 24)
(8,563)
0 8,563
26 📈
(Org: 32)
(8,544)
0.15 8,544
27 📉
(Org: 25)
(8,509)
- 8,509
28 📉
(Org: 26)
(8,214)
0 8,214
29 📉
(Org: 27)
(7,985)
0 7,985
30 ➡️
(Org: 30)
(7,780)
0.04 7,780
31 📉
(Org: 28)
(7,760)
0.01 7,760
32 📉
(Org: 29)
(7,574)
0.01 7,574
33 ➡️
(Org: 33)
(7,073)
0.02 7,073
34 ➡️
(Org: 34)
(6,877)
- 6,877
35 ➡️
(Org: 35)
(6,734)
0.01 6,734
36 📈
(Org: 51)
(6,591)
0.24 6,591
37 📉
(Org: 36)
(6,584)
- 6,584
38 📈
(Org: 43)
(6,579)
0.12 6,579
39 📈
(Org: 63)
(6,458)
0.32 6,458
40 📉
(Org: 37)
(6,439)
0 6,439
41 📉
(Org: 38)
(6,396)
- 6,396
42 📉
(Org: 39)
(6,395)
0.01 6,395
43 📈
(Org: 45)
(6,098)
0.11 6,098
44 📉
(Org: 40)
(6,077)
- 6,077
45 📉
(Org: 41)
(5,856)
- 5,856
46 📉
(Org: 42)
(5,786)
- 5,786
47 📉
(Org: 44)
(5,713)
0 5,713
48 📈
(Org: 64)
(5,600)
0.21 5,600
49 📉
(Org: 46)
(5,483)
0.01 5,483
50 📈
(Org: 53)
(5,425)
0.1 5,425
51 📉
(Org: 48)
(5,387)
0.02 5,387
52 📉
(Org: 47)
(5,378)
0 5,378
53 📉
(Org: 49)
(5,219)
- 5,219
54 📉
(Org: 50)
(5,169)
0.03 5,169
55 📉
(Org: 54)
(5,040)
0.05 5,040
56 📉
(Org: 52)
(4,981)
- 4,981
57 📉
(Org: 56)
(4,786)
0.03 4,786
58 📉
(Org: 55)
(4,779)
- 4,779
59 📈
(Org: 60)
(4,647)
0.04 4,647
60 📉
(Org: 57)
(4,609)
0.01 4,609
61 📈
(Org: 65)
(4,601)
0.05 4,601
62 📉
(Org: 58)
(4,541)
0.01 4,541
63 📉
(Org: 59)
(4,511)
0.01 4,511
64 📉
(Org: 61)
(4,469)
0 4,469
65 📉
(Org: 62)
(4,454)
- 4,454
66 📈
(Org: 70)
(4,148)
0.07 4,148
67 📉
(Org: 66)
(4,136)
0 4,136
68 ➡️
(Org: 68)
(4,095)
0.02 4,095
69 📉
(Org: 67)
(4,081)
0.01 4,081
70 📉
(Org: 69)
(3,926)
0 3,926
71 ➡️
(Org: 71)
(3,867)
0 3,867
72 📈
(Org: 73)
(3,834)
0 3,834
73 📈
(Org: 74)
(3,822)
0.01 3,822
74 📈
(Org: 75)
(3,688)
- 3,688
75 📈
(Org: 76)
(3,665)
0.02 3,665
76 📈
(Org: 81)
(3,653)
0.08 3,653
77 📈
(Org: 95)
(3,623)
0.2 3,623
78 📈
(Org: 80)
(3,584)
0.04 3,584
79 📉
(Org: 77)
(3,566)
0.01 3,566
80 📉
(Org: 79)
(3,519)
0.01 3,519
81 📈
(Org: 99)
(3,512)
0.19 3,512
81 📉
(Org: 78)
(3,512)
- 3,512
83 📈
(Org: 127)
(3,465)
0.4 3,465
84 📉
(Org: 83)
(3,438)
0.05 3,438
85 📉
(Org: 82)
(3,348)
0.02 3,348
86 📈
(Org: 89)
(3,334)
0.08 3,334
87 📈
(Org: 90)
(3,308)
0.09 3,308
88 📉
(Org: 85)
(3,191)
0.01 3,191
89 📉
(Org: 84)
(3,152)
- 3,152
90 📉
(Org: 86)
(3,109)
- 3,109
91 📉
(Org: 88)
(3,063)
- 3,063
92 📈
(Org: 118)
(3,053)
0.26 3,053
93 📈
(Org: 106)
(3,029)
0.16 3,029
94 📉
(Org: 91)
(2,990)
- 2,990
95 📉
(Org: 93)
(2,989)
0.02 2,989
96 ➡️
(Org: 96)
(2,942)
0.01 2,942
97 📉
(Org: 94)
(2,913)
0 2,913
98 📉
(Org: 97)
(2,876)
- 2,876
99 📉
(Org: 98)
(2,867)
0.01 2,867
100 ➡️
(Org: 100)
(2,817)
0.02 2,817