Top 100 Most Popular Girl Baby Names by Pronunciation in the US 1978 - 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)
(57,471)
0.02 57,471
2 ➡️
(Org: 2)
(29,309)
0.03 29,309
3 📈
(Org: 8)
(28,902)
0.31 28,902
4 📉
(Org: 3)
(26,425)
0.01 26,425
5 📉
(Org: 4)
(23,214)
- 23,214
6 📈
(Org: 12)
(22,554)
0.25 22,554
7 📈
(Org: 9)
(22,508)
0.16 22,508
8 📉
(Org: 5)
(22,285)
0 22,285
9 📈
(Org: 15)
(21,951)
0.25 21,951
10 📉
(Org: 7)
(20,648)
0.01 20,648
11 📉
(Org: 10)
(20,643)
0.16 20,643
12 📉
(Org: 6)
(20,536)
0 20,536
13 📈
(Org: 29)
(18,871)
0.56 18,871
14 📉
(Org: 13)
(18,084)
0.07 18,084
15 📈
(Org: 16)
(17,828)
0.09 17,828
16 📈
(Org: 51)
(17,616)
0.7 17,616
17 📉
(Org: 14)
(17,473)
0.04 17,473
18 📉
(Org: 11)
(17,250)
0.01 17,250
19 📈
(Org: 38)
(16,567)
0.6 16,567
20 📉
(Org: 17)
(15,571)
0.11 15,571
21 📉
(Org: 18)
(15,345)
0.18 15,345
22 📈
(Org: 44)
(13,058)
0.56 13,058
23 📉
(Org: 20)
(12,291)
0.11 12,291
24 📈
(Org: 37)
(12,280)
0.45 12,280
25 ➡️
(Org: 25)
(11,893)
0.18 11,893
26 📉
(Org: 19)
(11,891)
0.05 11,891
27 📉
(Org: 21)
(11,024)
0.02 11,024
28 📈
(Org: 34)
(10,838)
0.32 10,838
29 📉
(Org: 22)
(10,795)
0.02 10,795
30 📉
(Org: 23)
(10,461)
- 10,461
31 📉
(Org: 24)
(10,183)
0.01 10,183
32 📉
(Org: 26)
(9,961)
0.02 9,961
33 📉
(Org: 27)
(9,596)
0 9,596
34 📈
(Org: 47)
(9,124)
0.38 9,124
35 ➡️
(Org: 35)
(8,874)
0.18 8,874
36 📉
(Org: 31)
(8,870)
0.1 8,870
37 📉
(Org: 32)
(8,535)
0.1 8,535
38 📈
(Org: 49)
(8,302)
0.35 8,302
39 📉
(Org: 30)
(8,195)
0 8,195
40 📉
(Org: 33)
(7,756)
0.04 7,756
41 📉
(Org: 36)
(7,331)
0.04 7,331
42 📈
(Org: 81)
(7,130)
0.5 7,130
43 📈
(Org: 60)
(6,958)
0.33 6,958
44 📈
(Org: 75)
(6,878)
0.44 6,878
45 📉
(Org: 40)
(6,595)
0.04 6,595
46 📉
(Org: 41)
(6,581)
0.1 6,581
47 📉
(Org: 39)
(6,556)
0.03 6,556
48 📈
(Org: 88)
(6,528)
0.47 6,528
49 📉
(Org: 43)
(6,502)
0.1 6,502
50 📉
(Org: 42)
(6,115)
0.04 6,115
51 📈
(Org: 55)
(5,925)
0.16 5,925
52 📉
(Org: 45)
(5,741)
0.01 5,741
53 📉
(Org: 46)
(5,693)
0 5,693
54 📉
(Org: 48)
(5,512)
0 5,512
55 📉
(Org: 50)
(5,486)
0.02 5,486
56 ➡️
(Org: 56)
(5,390)
0.09 5,390
57 📈
(Org: 58)
(5,288)
0.1 5,288
58 📉
(Org: 52)
(5,260)
0.01 5,260
59 📈
(Org: 63)
(5,239)
0.17 5,239
60 📉
(Org: 54)
(5,161)
0.03 5,161
61 📈
(Org: 89)
(4,939)
0.3 4,939
62 📈
(Org: 68)
(4,703)
0.14 4,703
63 📈
(Org: 67)
(4,680)
0.13 4,680
64 📈
(Org: 128)
(4,336)
0.48 4,336
65 📈
(Org: 66)
(4,313)
0.03 4,313
66 📉
(Org: 65)
(4,190)
0 4,190
67 📈
(Org: 70)
(4,167)
0.04 4,167
68 📈
(Org: 69)
(4,098)
0.02 4,098
69 📈
(Org: 79)
(4,043)
0.07 4,043
70 📈
(Org: 73)
(4,016)
0.02 4,016
71 📉
(Org: 70)
(4,003)
- 4,003
72 📈
(Org: 96)
(3,952)
0.21 3,952
73 📈
(Org: 76)
(3,944)
0.02 3,944
74 📈
(Org: 197)
(3,941)
0.66 3,941
75 📈
(Org: 90)
(3,934)
0.13 3,934
76 📉
(Org: 74)
(3,904)
0 3,904
77 📈
(Org: 111)
(3,861)
0.32 3,861
78 📈
(Org: 87)
(3,853)
0.1 3,853
79 📈
(Org: 127)
(3,849)
0.41 3,849
80 📉
(Org: 77)
(3,826)
- 3,826
81 📉
(Org: 80)
(3,791)
0.03 3,791
82 📈
(Org: 93)
(3,763)
0.14 3,763
83 ➡️
(Org: 83)
(3,708)
0.04 3,708
84 ➡️
(Org: 84)
(3,657)
0.03 3,657
85 📈
(Org: 94)
(3,624)
0.13 3,624
86 📉
(Org: 81)
(3,576)
- 3,576
87 📉
(Org: 85)
(3,528)
0 3,528
88 📈
(Org: 91)
(3,364)
0 3,364
89 📈
(Org: 92)
(3,313)
0 3,313
90 📈
(Org: 149)
(3,253)
0.43 3,253
91 📈
(Org: 95)
(3,251)
0.04 3,251
92 📈
(Org: 108)
(3,240)
0.16 3,240
93 📈
(Org: 100)
(3,236)
0.09 3,236
94 📈
(Org: 97)
(3,112)
0.02 3,112
95 📈
(Org: 168)
(3,052)
0.47 3,052
96 📈
(Org: 132)
(3,050)
0.31 3,050
97 📈
(Org: 99)
(2,969)
- 2,969
98 📈
(Org: 106)
(2,922)
0.06 2,922
99 📈
(Org: 221)
(2,916)
0.61 2,916
100 📈
(Org: 102)
(2,897)
0 2,897