Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1994 - 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)
(32,844)
0.02 32,844
2 ➡️
(Org: 2)
(32,663)
0.07 32,663
3 📈
(Org: 5)
(29,602)
0.25 29,602
4 📈
(Org: 48)
(25,655)
0.74 25,655
5 📉
(Org: 3)
(25,428)
0.05 25,428
6 📉
(Org: 4)
(22,888)
0 22,888
7 📉
(Org: 6)
(22,062)
0.06 22,062
8 📉
(Org: 7)
(20,537)
0.08 20,537
9 📈
(Org: 30)
(19,757)
0.51 19,757
10 📉
(Org: 8)
(18,730)
0 18,730
11 📈
(Org: 13)
(18,628)
0.17 18,628
12 📉
(Org: 11)
(17,902)
0.11 17,902
13 📉
(Org: 9)
(17,591)
0.05 17,591
14 📈
(Org: 27)
(17,567)
0.4 17,567
15 📉
(Org: 10)
(17,474)
0.05 17,474
16 📉
(Org: 15)
(16,554)
0.11 16,554
17 📉
(Org: 12)
(16,551)
0.04 16,551
18 📉
(Org: 16)
(15,682)
0.08 15,682
19 📉
(Org: 14)
(15,556)
0.03 15,556
20 📈
(Org: 36)
(15,376)
0.49 15,376
21 📉
(Org: 17)
(14,543)
0.04 14,543
22 📈
(Org: 24)
(14,250)
0.21 14,250
23 📉
(Org: 22)
(14,048)
0.14 14,048
24 📉
(Org: 23)
(14,020)
0.16 14,020
25 📈
(Org: 55)
(13,466)
0.56 13,466
26 📉
(Org: 18)
(13,352)
0.02 13,352
27 📉
(Org: 20)
(13,267)
0.06 13,267
28 📉
(Org: 19)
(12,778)
0.01 12,778
29 📉
(Org: 26)
(12,431)
0.15 12,431
30 📉
(Org: 21)
(12,379)
0 12,379
31 📈
(Org: 39)
(12,228)
0.37 12,228
32 📉
(Org: 29)
(12,220)
0.2 12,220
33 📈
(Org: 34)
(11,693)
0.3 11,693
34 📈
(Org: 47)
(11,527)
0.41 11,527
35 📉
(Org: 25)
(10,914)
0.02 10,914
36 📈
(Org: 38)
(10,739)
0.28 10,739
37 📉
(Org: 28)
(10,622)
0.04 10,622
38 📈
(Org: 57)
(9,922)
0.43 9,922
39 📉
(Org: 32)
(9,437)
0.07 9,437
40 📉
(Org: 33)
(9,314)
0.07 9,314
41 📉
(Org: 31)
(9,198)
0.04 9,198
42 📉
(Org: 35)
(9,101)
0.11 9,101
43 📈
(Org: 53)
(8,746)
0.29 8,746
44 📉
(Org: 40)
(8,329)
0.09 8,329
45 📈
(Org: 65)
(8,310)
0.38 8,310
46 📈
(Org: 64)
(8,170)
0.36 8,170
47 📈
(Org: 62)
(8,003)
0.32 8,003
48 📉
(Org: 37)
(7,839)
0.01 7,839
49 📈
(Org: 66)
(7,738)
0.35 7,738
50 📉
(Org: 41)
(7,580)
0.01 7,580
51 📉
(Org: 42)
(7,484)
0.03 7,484
52 📉
(Org: 45)
(7,250)
0.05 7,250
53 📈
(Org: 71)
(7,083)
0.31 7,083
54 📉
(Org: 46)
(7,043)
0.03 7,043
55 📉
(Org: 44)
(7,033)
- 7,033
56 ➡️
(Org: 56)
(6,812)
0.14 6,812
57 📉
(Org: 51)
(6,677)
0.06 6,677
58 📈
(Org: 138)
(6,613)
0.65 6,613
59 📉
(Org: 52)
(6,582)
0.05 6,582
60 📉
(Org: 49)
(6,482)
- 6,482
61 📉
(Org: 50)
(6,477)
0.01 6,477
62 📉
(Org: 54)
(6,318)
0.05 6,318
63 📈
(Org: 89)
(6,315)
0.39 6,315
64 📈
(Org: 69)
(6,283)
0.21 6,283
65 📈
(Org: 76)
(6,277)
0.25 6,277
66 📉
(Org: 59)
(5,921)
0.06 5,921
67 📈
(Org: 154)
(5,820)
0.64 5,820
68 📈
(Org: 82)
(5,805)
0.24 5,805
69 📉
(Org: 61)
(5,779)
0.06 5,779
70 📈
(Org: 102)
(5,714)
0.44 5,714
71 📈
(Org: 86)
(5,696)
0.28 5,696
72 📉
(Org: 60)
(5,593)
0.02 5,593
73 📉
(Org: 70)
(5,534)
0.1 5,534
74 📉
(Org: 67)
(5,466)
0.08 5,466
75 📉
(Org: 63)
(5,330)
0.02 5,330
76 📈
(Org: 118)
(5,246)
0.49 5,246
77 📈
(Org: 80)
(5,096)
0.1 5,096
78 📈
(Org: 87)
(5,043)
0.21 5,043
79 📈
(Org: 83)
(5,019)
0.18 5,019
80 📉
(Org: 73)
(5,017)
0.04 5,017
81 📉
(Org: 72)
(4,905)
0.01 4,905
82 📈
(Org: 115)
(4,851)
0.42 4,851
83 📉
(Org: 74)
(4,806)
0.01 4,806
84 📈
(Org: 109)
(4,749)
0.36 4,749
85 📉
(Org: 77)
(4,691)
- 4,691
86 📈
(Org: 122)
(4,489)
0.41 4,489
87 📉
(Org: 81)
(4,460)
0.01 4,460
88 📉
(Org: 85)
(4,320)
0.05 4,320
89 📈
(Org: 92)
(4,296)
0.18 4,296
90 📉
(Org: 88)
(4,131)
0.05 4,131
91 📈
(Org: 95)
(3,973)
0.13 3,973
92 📈
(Org: 101)
(3,862)
0.17 3,862
93 📉
(Org: 91)
(3,727)
0.04 3,727
94 📈
(Org: 158)
(3,714)
0.45 3,714
95 📈
(Org: 134)
(3,603)
0.34 3,603
96 📈
(Org: 190)
(3,550)
0.57 3,550
97 📉
(Org: 95)
(3,501)
0.02 3,501
98 📈
(Org: 105)
(3,476)
0.09 3,476
98 📉
(Org: 94)
(3,476)
0.01 3,476
100 📉
(Org: 99)
(3,473)
0.05 3,473