Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1933 - 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)
(55,602)
0 55,602
2 ➡️
(Org: 2)
(34,086)
0.07 34,086
3 ➡️
(Org: 3)
(26,954)
0 26,954
4 📈
(Org: 5)
(26,289)
0.27 26,289
5 📉
(Org: 4)
(22,106)
0 22,106
6 ➡️
(Org: 6)
(18,632)
- 18,632
7 ➡️
(Org: 7)
(15,487)
0.02 15,487
8 ➡️
(Org: 8)
(15,167)
0.03 15,167
9 ➡️
(Org: 9)
(14,354)
0 14,354
10 ➡️
(Org: 10)
(12,175)
0.01 12,175
11 ➡️
(Org: 11)
(11,971)
0.01 11,971
12 ➡️
(Org: 12)
(11,210)
0 11,210
13 ➡️
(Org: 13)
(11,160)
0 11,160
14 📈
(Org: 20)
(10,558)
0.22 10,558
15 📉
(Org: 14)
(10,129)
0.02 10,129
16 📈
(Org: 44)
(10,062)
0.51 10,062
17 📉
(Org: 15)
(9,746)
0 9,746
18 📉
(Org: 16)
(9,505)
0.04 9,505
19 📉
(Org: 18)
(9,275)
0.04 9,275
20 📉
(Org: 17)
(9,208)
0.02 9,208
21 📉
(Org: 19)
(8,817)
0.02 8,817
22 📉
(Org: 21)
(8,022)
- 8,022
23 📈
(Org: 24)
(7,790)
0.06 7,790
24 📉
(Org: 22)
(7,697)
- 7,697
25 ➡️
(Org: 25)
(7,693)
0.05 7,693
26 📉
(Org: 23)
(7,533)
0.01 7,533
27 📈
(Org: 28)
(7,262)
0.02 7,262
28 📉
(Org: 26)
(7,237)
0.01 7,237
29 📉
(Org: 27)
(7,172)
0 7,172
30 📉
(Org: 29)
(7,077)
0 7,077
31 📉
(Org: 30)
(7,069)
0.02 7,069
32 📈
(Org: 46)
(6,826)
0.34 6,826
33 📉
(Org: 31)
(6,752)
- 6,752
34 📉
(Org: 32)
(6,569)
- 6,569
35 📉
(Org: 33)
(6,282)
0.01 6,282
36 📉
(Org: 34)
(6,210)
- 6,210
37 📈
(Org: 38)
(5,825)
0.12 5,825
38 📉
(Org: 35)
(5,770)
- 5,770
39 📉
(Org: 36)
(5,714)
0.03 5,714
40 📈
(Org: 58)
(5,483)
0.34 5,483
41 📉
(Org: 40)
(5,212)
0.03 5,212
42 ➡️
(Org: 42)
(5,194)
0.04 5,194
43 📉
(Org: 37)
(5,123)
- 5,123
44 📉
(Org: 41)
(5,121)
0.02 5,121
45 📉
(Org: 43)
(5,115)
0.03 5,115
46 📉
(Org: 39)
(5,080)
- 5,080
47 📉
(Org: 45)
(4,677)
- 4,677
48 📉
(Org: 47)
(4,513)
0.03 4,513
49 📈
(Org: 50)
(4,284)
0.06 4,284
50 📉
(Org: 48)
(4,280)
0 4,280
51 📈
(Org: 54)
(4,100)
0.07 4,100
51 📉
(Org: 49)
(4,100)
0.01 4,100
53 📈
(Org: 70)
(4,052)
0.19 4,052
54 📉
(Org: 51)
(4,044)
0.01 4,044
55 📉
(Org: 53)
(3,951)
0.03 3,951
56 📉
(Org: 52)
(3,890)
- 3,890
57 📈
(Org: 76)
(3,749)
0.16 3,749
58 📈
(Org: 59)
(3,737)
0.03 3,737
59 📉
(Org: 55)
(3,730)
- 3,730
60 📉
(Org: 57)
(3,636)
- 3,636
61 ➡️
(Org: 61)
(3,628)
0.02 3,628
62 📉
(Org: 60)
(3,627)
0.01 3,627
63 📉
(Org: 62)
(3,591)
0.01 3,591
64 📈
(Org: 86)
(3,580)
0.23 3,580
65 📉
(Org: 64)
(3,567)
0.01 3,567
66 📉
(Org: 63)
(3,551)
- 3,551
67 📉
(Org: 66)
(3,455)
0.01 3,455
68 📉
(Org: 65)
(3,451)
- 3,451
69 📈
(Org: 78)
(3,423)
0.09 3,423
70 📉
(Org: 68)
(3,421)
0.01 3,421
71 📉
(Org: 67)
(3,417)
0 3,417
72 📉
(Org: 69)
(3,354)
0.01 3,354
73 📈
(Org: 83)
(3,348)
0.1 3,348
74 📈
(Org: 89)
(3,321)
0.21 3,321
75 📉
(Org: 74)
(3,273)
0.03 3,273
76 📈
(Org: 77)
(3,236)
0.04 3,236
77 📉
(Org: 71)
(3,217)
- 3,217
78 📉
(Org: 73)
(3,214)
0 3,214
79 📉
(Org: 75)
(3,168)
0.01 3,168
80 📈
(Org: 102)
(3,121)
0.29 3,121
80 📉
(Org: 79)
(3,121)
0 3,121
82 📉
(Org: 80)
(3,110)
- 3,110
83 📈
(Org: 103)
(3,083)
0.28 3,083
84 📉
(Org: 82)
(3,070)
0.01 3,070
85 📉
(Org: 81)
(3,061)
- 3,061
86 📉
(Org: 84)
(2,963)
0.01 2,963
87 ➡️
(Org: 87)
(2,901)
0.07 2,901
88 📈
(Org: 91)
(2,836)
0.11 2,836
89 📈
(Org: 90)
(2,791)
0.09 2,791
90 📉
(Org: 85)
(2,767)
- 2,767
91 📈
(Org: 92)
(2,713)
0.08 2,713
92 📉
(Org: 88)
(2,676)
- 2,676
93 📈
(Org: 96)
(2,589)
0.07 2,589
94 📈
(Org: 111)
(2,537)
0.19 2,537
95 📉
(Org: 93)
(2,456)
0 2,456
96 📈
(Org: 98)
(2,450)
0.03 2,450
97 📉
(Org: 95)
(2,426)
0.01 2,426
98 📈
(Org: 114)
(2,418)
0.17 2,418
99 📉
(Org: 94)
(2,410)
- 2,410
100 📉
(Org: 97)
(2,403)
- 2,403