Top 100 Most Popular Boy Baby Names by Pronunciation in the US 1971 - 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)
(80,292)
0.03 80,292
2 📈
(Org: 4)
(55,278)
0.07 55,278
3 📉
(Org: 2)
(54,619)
0 54,619
4 📉
(Org: 3)
(53,149)
0 53,149
5 ➡️
(Org: 5)
(50,647)
0 50,647
6 ➡️
(Org: 6)
(49,369)
0.02 49,369
7 📈
(Org: 9)
(39,790)
0.18 39,790
8 📈
(Org: 16)
(36,804)
0.36 36,804
9 📉
(Org: 7)
(35,497)
0 35,497
10 📉
(Org: 8)
(34,775)
0.02 34,775
11 📈
(Org: 12)
(33,645)
0.23 33,645
12 📉
(Org: 10)
(31,478)
0.02 31,478
13 ➡️
(Org: 13)
(29,342)
0.14 29,342
14 📈
(Org: 18)
(27,004)
0.15 27,004
15 📉
(Org: 11)
(26,190)
0 26,190
16 📉
(Org: 14)
(25,002)
0.01 25,002
17 📈
(Org: 28)
(24,817)
0.48 24,817
18 📉
(Org: 15)
(24,779)
0.01 24,779
19 ➡️
(Org: 19)
(23,493)
0.04 23,493
20 📉
(Org: 17)
(23,382)
0.01 23,382
21 📉
(Org: 20)
(22,038)
0.01 22,038
22 📉
(Org: 21)
(20,106)
0 20,106
23 📉
(Org: 22)
(19,859)
0 19,859
24 📉
(Org: 23)
(19,231)
0 19,231
25 📉
(Org: 24)
(17,476)
0 17,476
26 📉
(Org: 25)
(14,869)
0.01 14,869
27 📉
(Org: 25)
(14,783)
0 14,783
28 📈
(Org: 29)
(12,227)
0.01 12,227
29 📈
(Org: 30)
(12,056)
- 12,056
30 📈
(Org: 31)
(11,627)
0 11,627
31 📈
(Org: 32)
(11,061)
- 11,061
32 📈
(Org: 33)
(10,920)
0 10,920
33 📈
(Org: 34)
(10,873)
- 10,873
34 📈
(Org: 35)
(10,865)
0.01 10,865
35 📈
(Org: 37)
(9,933)
0.01 9,933
36 📈
(Org: 40)
(9,818)
0.12 9,818
37 📈
(Org: 38)
(9,212)
0 9,212
38 📈
(Org: 39)
(8,865)
0.01 8,865
39 📈
(Org: 63)
(8,811)
0.47 8,811
40 📈
(Org: 41)
(8,753)
0.04 8,753
41 📈
(Org: 42)
(8,268)
0.01 8,268
42 📈
(Org: 43)
(8,178)
0.03 8,178
43 📈
(Org: 44)
(7,779)
0 7,779
44 📈
(Org: 45)
(7,732)
0.03 7,732
45 📈
(Org: 46)
(7,343)
0 7,343
46 📈
(Org: 76)
(7,218)
0.47 7,218
47 ➡️
(Org: 47)
(7,037)
0 7,037
48 📈
(Org: 50)
(6,783)
0.03 6,783
49 ➡️
(Org: 49)
(6,752)
0.03 6,752
50 📈
(Org: 77)
(6,251)
0.4 6,251
51 ➡️
(Org: 51)
(6,190)
0 6,190
52 ➡️
(Org: 52)
(6,124)
0 6,124
53 📈
(Org: 54)
(6,089)
- 6,089
54 📈
(Org: 55)
(6,011)
0 6,011
55 📈
(Org: 58)
(5,948)
0.03 5,948
56 ➡️
(Org: 56)
(5,906)
0.01 5,906
57 ➡️
(Org: 57)
(5,857)
0 5,857
58 📈
(Org: 72)
(5,411)
0.25 5,411
59 📈
(Org: 60)
(5,333)
0.05 5,333
60 📉
(Org: 59)
(5,195)
- 5,195
61 📈
(Org: 62)
(5,025)
0.03 5,025
62 📉
(Org: 61)
(5,015)
- 5,015
63 📈
(Org: 68)
(4,769)
0.1 4,769
64 ➡️
(Org: 64)
(4,719)
0.04 4,719
65 📈
(Org: 66)
(4,447)
0.01 4,447
66 📉
(Org: 65)
(4,409)
- 4,409
67 ➡️
(Org: 67)
(4,381)
0.01 4,381
68 📈
(Org: 71)
(4,372)
0.06 4,372
69 ➡️
(Org: 69)
(4,333)
0.02 4,333
70 📈
(Org: 104)
(4,308)
0.29 4,308
71 📈
(Org: 93)
(4,147)
0.2 4,147
72 📈
(Org: 108)
(4,116)
0.28 4,116
73 📈
(Org: 90)
(4,093)
0.18 4,093
74 📉
(Org: 73)
(4,069)
0 4,069
75 ➡️
(Org: 75)
(4,041)
0.03 4,041
76 📉
(Org: 74)
(4,013)
0.02 4,013
77 📈
(Org: 127)
(4,008)
0.38 4,008
78 📈
(Org: 83)
(3,921)
0.08 3,921
79 📈
(Org: 85)
(3,854)
0.09 3,854
80 📈
(Org: 135)
(3,799)
0.39 3,799
81 📈
(Org: 107)
(3,794)
0.21 3,794
82 📈
(Org: 88)
(3,779)
0.09 3,779
83 📉
(Org: 79)
(3,778)
0.03 3,778
84 📉
(Org: 82)
(3,695)
0.02 3,695
85 📈
(Org: 96)
(3,678)
0.12 3,678
86 📉
(Org: 80)
(3,672)
0.01 3,672
87 📉
(Org: 81)
(3,646)
- 3,646
88 📈
(Org: 102)
(3,558)
0.13 3,558
89 📉
(Org: 86)
(3,505)
0 3,505
90 📉
(Org: 87)
(3,474)
0.01 3,474
91 📈
(Org: 100)
(3,457)
0.09 3,457
92 📉
(Org: 88)
(3,426)
- 3,426
93 📈
(Org: 121)
(3,370)
0.21 3,370
94 📉
(Org: 91)
(3,356)
- 3,356
95 ➡️
(Org: 95)
(3,348)
0.03 3,348
96 📉
(Org: 92)
(3,333)
- 3,333
97 📈
(Org: 118)
(3,265)
0.14 3,265
98 ➡️
(Org: 98)
(3,231)
0.02 3,231
99 📈
(Org: 101)
(3,188)
0.01 3,188
100 📉
(Org: 99)
(3,168)
- 3,168