Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1970 - 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

Boy Names

Ranking Name Distortion Index Count
1 ➡️
(Org: 1)
(88,073)
0.03 88,073
2 📈
(Org: 4)
(62,924)
0.07 62,924
3 ➡️
(Org: 3)
(61,755)
0 61,755
4 📉
(Org: 2)
(61,754)
0 61,754
5 ➡️
(Org: 5)
(57,186)
0 57,186
6 ➡️
(Org: 6)
(42,639)
0.02 42,639
7 📈
(Org: 15)
(41,566)
0.36 41,566
8 📉
(Org: 7)
(38,981)
0 38,981
9 📉
(Org: 8)
(38,935)
0.18 38,935
10 📈
(Org: 11)
(38,706)
0.22 38,706
11 📉
(Org: 9)
(36,480)
0.14 36,480
12 📉
(Org: 10)
(30,481)
0 30,481
13 📉
(Org: 12)
(29,205)
0.02 29,205
14 📉
(Org: 13)
(27,790)
0.02 27,790
15 📈
(Org: 18)
(27,499)
0.14 27,499
16 📉
(Org: 14)
(27,154)
0.01 27,154
17 📉
(Org: 16)
(26,988)
0.01 26,988
18 📉
(Org: 17)
(26,924)
0.01 26,924
19 ➡️
(Org: 19)
(23,790)
0.01 23,790
20 📈
(Org: 34)
(22,664)
0.52 22,664
21 📉
(Org: 20)
(22,457)
0 22,457
22 📉
(Org: 21)
(22,412)
- 22,412
23 📉
(Org: 22)
(21,186)
0 21,186
24 ➡️
(Org: 24)
(21,026)
0.04 21,026
25 📉
(Org: 23)
(20,211)
0 20,211
26 📉
(Org: 25)
(16,823)
0 16,823
27 📉
(Org: 26)
(16,403)
0.01 16,403
28 ➡️
(Org: 28)
(14,425)
- 14,425
29 ➡️
(Org: 29)
(13,637)
0 13,637
30 ➡️
(Org: 30)
(12,397)
- 12,397
31 ➡️
(Org: 31)
(12,278)
- 12,278
32 ➡️
(Org: 32)
(11,993)
0 11,993
33 ➡️
(Org: 33)
(11,782)
0 11,782
34 📈
(Org: 35)
(10,752)
0 10,752
35 📈
(Org: 36)
(10,572)
0.02 10,572
36 📈
(Org: 38)
(9,691)
0.01 9,691
37 📈
(Org: 39)
(9,622)
0.03 9,622
38 📈
(Org: 42)
(9,265)
0.12 9,265
39 📈
(Org: 40)
(8,964)
0.01 8,964
40 📈
(Org: 41)
(8,454)
0 8,454
41 📈
(Org: 77)
(8,196)
0.49 8,196
42 📈
(Org: 43)
(8,128)
0 8,128
43 📈
(Org: 44)
(8,074)
0 8,074
44 📈
(Org: 73)
(7,855)
0.46 7,855
45 ➡️
(Org: 45)
(7,638)
0.03 7,638
46 ➡️
(Org: 46)
(7,520)
0.03 7,520
47 ➡️
(Org: 47)
(7,025)
0.03 7,025
48 📈
(Org: 52)
(6,893)
0.04 6,893
49 📉
(Org: 48)
(6,811)
0 6,811
50 📉
(Org: 49)
(6,804)
0 6,804
51 ➡️
(Org: 51)
(6,693)
0.01 6,693
52 📈
(Org: 54)
(6,241)
0.01 6,241
53 📈
(Org: 84)
(6,099)
0.37 6,099
54 📈
(Org: 66)
(6,019)
0.27 6,019
55 ➡️
(Org: 55)
(5,856)
- 5,856
56 ➡️
(Org: 56)
(5,691)
- 5,691
57 ➡️
(Org: 57)
(5,658)
0.03 5,658
58 ➡️
(Org: 58)
(5,249)
0.03 5,249
59 ➡️
(Org: 59)
(5,075)
0.01 5,075
60 📈
(Org: 109)
(5,006)
0.4 5,006
61 📈
(Org: 63)
(4,976)
0.1 4,976
62 📈
(Org: 67)
(4,860)
0.09 4,860
63 📉
(Org: 61)
(4,840)
0.05 4,840
64 ➡️
(Org: 64)
(4,698)
0.05 4,698
65 📉
(Org: 62)
(4,621)
0.01 4,621
66 📈
(Org: 75)
(4,545)
0.08 4,545
67 📉
(Org: 65)
(4,530)
0.02 4,530
68 📈
(Org: 86)
(4,521)
0.19 4,521
69 📈
(Org: 70)
(4,421)
0.02 4,421
70 📉
(Org: 69)
(4,323)
- 4,323
71 ➡️
(Org: 71)
(4,315)
- 4,315
72 ➡️
(Org: 72)
(4,314)
- 4,314
73 📈
(Org: 74)
(4,282)
0 4,282
74 📈
(Org: 78)
(4,274)
0.04 4,274
75 📈
(Org: 99)
(4,247)
0.21 4,247
76 📈
(Org: 83)
(4,231)
0.1 4,231
77 📉
(Org: 76)
(4,213)
0.01 4,213
78 📈
(Org: 133)
(4,135)
0.39 4,135
79 ➡️
(Org: 79)
(4,050)
0.01 4,050
80 ➡️
(Org: 80)
(4,006)
- 4,006
81 ➡️
(Org: 81)
(3,988)
0.02 3,988
82 📈
(Org: 88)
(3,967)
0.09 3,967
83 📈
(Org: 115)
(3,923)
0.26 3,923
84 📈
(Org: 85)
(3,868)
0.03 3,868
85 📉
(Org: 82)
(3,840)
- 3,840
86 📈
(Org: 105)
(3,835)
0.19 3,835
87 📈
(Org: 100)
(3,830)
0.15 3,830
88 📉
(Org: 87)
(3,751)
0.03 3,751
89 📈
(Org: 130)
(3,721)
0.32 3,721
90 📈
(Org: 102)
(3,631)
0.13 3,631
91 📉
(Org: 90)
(3,616)
0.01 3,616
92 📉
(Org: 89)
(3,584)
- 3,584
93 📉
(Org: 91)
(3,553)
- 3,553
94 📈
(Org: 119)
(3,538)
0.22 3,538
95 📉
(Org: 93)
(3,513)
0 3,513
96 📉
(Org: 94)
(3,482)
- 3,482
97 📉
(Org: 95)
(3,474)
- 3,474
98 📉
(Org: 97)
(3,427)
0 3,427
99 📈
(Org: 161)
(3,415)
0.47 3,415
100 📉
(Org: 98)
(3,380)
- 3,380