Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1935 - 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)
(55,201)
0 55,201
2 ➡️
(Org: 2)
(42,430)
0 42,430
3 📈
(Org: 4)
(30,873)
0.07 30,873
4 📉
(Org: 3)
(30,704)
0 30,704
5 📈
(Org: 7)
(26,788)
0.32 26,788
6 📉
(Org: 5)
(22,879)
- 22,879
7 📉
(Org: 6)
(19,453)
0 19,453
8 ➡️
(Org: 8)
(14,949)
0.01 14,949
9 ➡️
(Org: 9)
(14,653)
0.01 14,653
10 📈
(Org: 11)
(14,649)
0.2 14,649
11 📉
(Org: 10)
(13,285)
0.04 13,285
12 ➡️
(Org: 12)
(11,382)
0 11,382
13 📈
(Org: 14)
(10,814)
0.04 10,814
14 📉
(Org: 13)
(10,768)
0.02 10,768
15 ➡️
(Org: 15)
(10,011)
0 10,011
16 ➡️
(Org: 16)
(9,888)
0 9,888
17 📈
(Org: 42)
(9,870)
0.52 9,870
18 📉
(Org: 17)
(9,246)
0.02 9,246
19 ➡️
(Org: 19)
(9,167)
0.04 9,167
20 📉
(Org: 18)
(8,990)
0.02 8,990
21 📈
(Org: 22)
(8,202)
0.04 8,202
22 📉
(Org: 21)
(8,106)
0.01 8,106
23 ➡️
(Org: 23)
(8,100)
0.04 8,100
24 📉
(Org: 20)
(8,072)
0.01 8,072
25 📉
(Org: 24)
(7,629)
0 7,629
26 📈
(Org: 27)
(7,514)
0.02 7,514
27 📉
(Org: 25)
(7,443)
- 7,443
28 📉
(Org: 26)
(7,374)
- 7,374
29 📉
(Org: 28)
(7,064)
0.01 7,064
30 📉
(Org: 29)
(6,916)
0.01 6,916
31 📉
(Org: 30)
(6,705)
- 6,705
32 📉
(Org: 31)
(6,700)
0.02 6,700
33 📈
(Org: 52)
(6,406)
0.38 6,406
34 📉
(Org: 32)
(6,348)
- 6,348
35 📉
(Org: 33)
(6,340)
0.01 6,340
36 📉
(Org: 34)
(6,162)
- 6,162
37 📉
(Org: 35)
(5,546)
- 5,546
38 📉
(Org: 36)
(5,441)
0.03 5,441
39 📈
(Org: 61)
(5,393)
0.33 5,393
40 📉
(Org: 37)
(5,232)
- 5,232
41 📉
(Org: 39)
(5,155)
0.06 5,155
42 📉
(Org: 40)
(5,092)
0.05 5,092
43 📉
(Org: 41)
(4,907)
0.03 4,907
44 📉
(Org: 38)
(4,850)
- 4,850
45 📉
(Org: 43)
(4,780)
0.03 4,780
46 📈
(Org: 48)
(4,758)
0.12 4,758
47 📉
(Org: 46)
(4,639)
0.03 4,639
48 📉
(Org: 45)
(4,571)
0 4,571
49 📉
(Org: 47)
(4,442)
- 4,442
50 📈
(Org: 58)
(4,336)
0.14 4,336
51 📉
(Org: 50)
(4,207)
0.03 4,207
52 📉
(Org: 51)
(4,134)
0.01 4,134
53 📉
(Org: 49)
(4,125)
0.01 4,125
54 📈
(Org: 79)
(3,970)
0.22 3,970
55 📉
(Org: 54)
(3,882)
0 3,882
56 📉
(Org: 55)
(3,839)
- 3,839
57 📉
(Org: 56)
(3,797)
- 3,797
58 📉
(Org: 57)
(3,793)
- 3,793
59 ➡️
(Org: 59)
(3,783)
0.03 3,783
60 📈
(Org: 63)
(3,707)
0.03 3,707
61 📈
(Org: 68)
(3,673)
0.07 3,673
62 📉
(Org: 60)
(3,666)
0.01 3,666
63 📉
(Org: 62)
(3,642)
0.01 3,642
64 📈
(Org: 86)
(3,612)
0.21 3,612
65 📉
(Org: 64)
(3,604)
0.02 3,604
66 📈
(Org: 69)
(3,563)
0.06 3,563
67 📈
(Org: 73)
(3,520)
0.06 3,520
68 📈
(Org: 71)
(3,504)
0.04 3,504
69 📉
(Org: 65)
(3,470)
- 3,470
70 📉
(Org: 66)
(3,454)
0.01 3,454
71 📉
(Org: 67)
(3,420)
- 3,420
72 📉
(Org: 70)
(3,381)
0.01 3,381
73 📉
(Org: 72)
(3,344)
- 3,344
74 📈
(Org: 126)
(3,329)
0.46 3,329
75 📈
(Org: 97)
(3,306)
0.28 3,306
76 📉
(Org: 74)
(3,301)
0.01 3,301
77 📉
(Org: 75)
(3,281)
0.01 3,281
78 📈
(Org: 104)
(3,239)
0.29 3,239
79 📉
(Org: 78)
(3,195)
0.02 3,195
80 📉
(Org: 77)
(3,191)
0 3,191
81 📉
(Org: 76)
(3,189)
- 3,189
82 📈
(Org: 85)
(3,168)
0.09 3,168
83 📉
(Org: 80)
(3,104)
0.01 3,104
84 📈
(Org: 90)
(3,092)
0.1 3,092
85 📉
(Org: 81)
(3,073)
0 3,073
86 📉
(Org: 83)
(3,020)
0.01 3,020
87 📉
(Org: 82)
(3,004)
- 3,004
88 📈
(Org: 105)
(2,986)
0.24 2,986
89 📈
(Org: 91)
(2,893)
0.07 2,893
90 📉
(Org: 84)
(2,892)
- 2,892
91 📉
(Org: 87)
(2,830)
- 2,830
92 📉
(Org: 88)
(2,828)
0.01 2,828
93 📉
(Org: 89)
(2,816)
0 2,816
94 📉
(Org: 92)
(2,727)
0.01 2,727
95 📈
(Org: 127)
(2,656)
0.32 2,656
96 📈
(Org: 101)
(2,632)
0.1 2,632
97 📉
(Org: 94)
(2,543)
- 2,543
98 📉
(Org: 96)
(2,512)
0.03 2,512
99 📉
(Org: 95)
(2,473)
0.02 2,473
100 📈
(Org: 106)
(2,446)
0.08 2,446