Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1929 - 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)
(63,618)
0 63,618
2 ➡️
(Org: 2)
(39,296)
0.07 39,296
3 ➡️
(Org: 3)
(31,524)
0 31,524
4 ➡️
(Org: 4)
(21,613)
0.03 21,613
5 ➡️
(Org: 5)
(19,533)
0.02 19,533
6 ➡️
(Org: 6)
(16,754)
0.02 16,754
7 📈
(Org: 8)
(16,064)
0 16,064
8 📉
(Org: 7)
(16,038)
- 16,038
9 📈
(Org: 13)
(15,748)
0.26 15,748
10 📉
(Org: 9)
(14,615)
0 14,615
11 📉
(Org: 10)
(13,624)
- 13,624
12 📉
(Org: 11)
(13,277)
0 13,277
13 📈
(Org: 34)
(12,623)
0.5 12,623
14 📉
(Org: 12)
(12,123)
0.02 12,123
15 📈
(Org: 16)
(11,591)
0.04 11,591
16 📉
(Org: 14)
(11,506)
- 11,506
16 📉
(Org: 15)
(11,506)
0.02 11,506
18 📉
(Org: 17)
(10,411)
0.01 10,411
19 📉
(Org: 18)
(10,255)
- 10,255
20 📉
(Org: 19)
(10,079)
0.02 10,079
21 📈
(Org: 29)
(10,062)
0.3 10,062
22 📉
(Org: 20)
(9,755)
0 9,755
23 📉
(Org: 21)
(9,486)
0 9,486
24 📉
(Org: 22)
(9,189)
0 9,189
25 📉
(Org: 23)
(8,605)
0 8,605
26 📉
(Org: 24)
(8,140)
0.02 8,140
27 📉
(Org: 25)
(7,937)
0.01 7,937
28 📉
(Org: 26)
(7,785)
- 7,785
29 📉
(Org: 27)
(7,646)
0 7,646
30 📉
(Org: 28)
(7,539)
- 7,539
31 📉
(Org: 30)
(7,240)
0.03 7,240
32 📈
(Org: 33)
(6,957)
0.03 6,957
33 📉
(Org: 32)
(6,916)
0.01 6,916
34 📉
(Org: 31)
(6,903)
- 6,903
35 📈
(Org: 38)
(6,784)
0.14 6,784
36 ➡️
(Org: 36)
(6,409)
0.04 6,409
37 📉
(Org: 35)
(6,246)
0.01 6,246
38 📈
(Org: 49)
(6,129)
0.17 6,129
39 📉
(Org: 37)
(5,955)
- 5,955
40 📉
(Org: 39)
(5,926)
0.01 5,926
41 📈
(Org: 42)
(5,796)
0.08 5,796
42 📉
(Org: 40)
(5,749)
0.01 5,749
43 📈
(Org: 68)
(5,572)
0.32 5,572
44 📉
(Org: 43)
(5,534)
0.04 5,534
45 📈
(Org: 47)
(5,517)
0.07 5,517
46 📉
(Org: 41)
(5,476)
- 5,476
47 📉
(Org: 44)
(5,391)
0.01 5,391
48 📉
(Org: 45)
(5,326)
0.01 5,326
49 📉
(Org: 46)
(5,172)
- 5,172
50 📉
(Org: 48)
(5,094)
- 5,094
51 📈
(Org: 57)
(5,065)
0.11 5,065
51 📉
(Org: 50)
(5,065)
0.01 5,065
53 📈
(Org: 55)
(5,040)
0.1 5,040
54 📉
(Org: 51)
(4,931)
- 4,931
55 📉
(Org: 52)
(4,913)
0.03 4,913
56 📈
(Org: 63)
(4,750)
0.1 4,750
57 📉
(Org: 53)
(4,651)
0 4,651
58 📉
(Org: 54)
(4,615)
0.01 4,615
59 📉
(Org: 58)
(4,611)
0.03 4,611
60 📉
(Org: 56)
(4,519)
- 4,519
61 📉
(Org: 59)
(4,455)
- 4,455
62 ➡️
(Org: 62)
(4,448)
0.02 4,448
63 📉
(Org: 60)
(4,412)
- 4,412
64 📉
(Org: 61)
(4,409)
0 4,409
65 📉
(Org: 64)
(4,235)
0.02 4,235
66 📉
(Org: 65)
(4,148)
- 4,148
67 📈
(Org: 75)
(4,121)
0.16 4,121
68 📈
(Org: 80)
(4,032)
0.23 4,032
69 📉
(Org: 66)
(4,025)
0 4,025
70 ➡️
(Org: 70)
(3,932)
0.04 3,932
71 📉
(Org: 67)
(3,929)
0.02 3,929
72 📉
(Org: 69)
(3,837)
0.01 3,837
73 📈
(Org: 87)
(3,633)
0.18 3,633
74 📉
(Org: 72)
(3,591)
0 3,591
75 📉
(Org: 71)
(3,586)
- 3,586
76 📉
(Org: 73)
(3,544)
0 3,544
77 📉
(Org: 74)
(3,517)
- 3,517
77 📈
(Org: 79)
(3,517)
0.09 3,517
79 📉
(Org: 76)
(3,335)
0 3,335
80 📉
(Org: 77)
(3,302)
0.01 3,302
81 📈
(Org: 82)
(3,256)
0.06 3,256
82 📉
(Org: 78)
(3,245)
0 3,245
83 📈
(Org: 90)
(3,241)
0.09 3,241
84 📉
(Org: 81)
(3,225)
0.04 3,225
85 📈
(Org: 89)
(3,078)
0.04 3,078
86 📉
(Org: 83)
(3,044)
0.01 3,044
87 📈
(Org: 103)
(3,027)
0.19 3,027
88 📉
(Org: 85)
(3,022)
0.01 3,022
89 📉
(Org: 86)
(3,005)
0.01 3,005
90 📉
(Org: 88)
(2,950)
- 2,950
91 ➡️
(Org: 91)
(2,881)
- 2,881
92 📈
(Org: 93)
(2,865)
0.02 2,865
93 📈
(Org: 112)
(2,848)
0.22 2,848
94 📉
(Org: 92)
(2,818)
- 2,818
95 📉
(Org: 94)
(2,785)
0.01 2,785
96 📈
(Org: 131)
(2,773)
0.34 2,773
97 📈
(Org: 107)
(2,740)
0.13 2,740
98 📉
(Org: 96)
(2,732)
0.02 2,732
99 📉
(Org: 95)
(2,730)
0 2,730
100 📉
(Org: 97)
(2,609)
0.02 2,609