101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1962 - 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
101 📈
(Org: 121)
(3,884)
0.22 3,884
102 📈
(Org: 105)
(3,877)
0.05 3,877
103 📈
(Org: 107)
(3,866)
0.07 3,866
104 📉
(Org: 103)
(3,826)
- 3,826
105 📈
(Org: 111)
(3,652)
0.09 3,652
106 ➡️
(Org: 106)
(3,651)
0 3,651
107 📈
(Org: 108)
(3,575)
- 3,575
108 📈
(Org: 110)
(3,459)
0.01 3,459
109 ➡️
(Org: 109)
(3,421)
0 3,421
110 📈
(Org: 188)
(3,407)
0.53 3,407
111 📈
(Org: 127)
(3,349)
0.15 3,349
112 📈
(Org: 115)
(3,337)
0.02 3,337
113 📉
(Org: 112)
(3,306)
- 3,306
114 📉
(Org: 113)
(3,298)
- 3,298
115 📈
(Org: 117)
(3,288)
0.04 3,288
116 📈
(Org: 141)
(3,281)
0.24 3,281
117 📉
(Org: 114)
(3,275)
- 3,275
118 📈
(Org: 149)
(3,227)
0.3 3,227
119 📈
(Org: 120)
(3,144)
0.01 3,144
120 📉
(Org: 118)
(3,130)
- 3,130
121 📈
(Org: 123)
(3,059)
0.05 3,059
122 📈
(Org: 128)
(3,057)
0.07 3,057
123 📈
(Org: 125)
(3,006)
0.05 3,006
124 📈
(Org: 126)
(2,854)
- 2,854
125 📈
(Org: 131)
(2,802)
0.01 2,802
126 📈
(Org: 130)
(2,788)
- 2,788
127 📈
(Org: 132)
(2,735)
0.02 2,735
128 📈
(Org: 204)
(2,731)
0.47 2,731
129 📈
(Org: 133)
(2,646)
- 2,646
130 📈
(Org: 198)
(2,644)
0.42 2,644
131 📈
(Org: 134)
(2,621)
- 2,621
132 📈
(Org: 135)
(2,598)
- 2,598
133 📈
(Org: 137)
(2,592)
0.01 2,592
134 📈
(Org: 136)
(2,588)
- 2,588
135 📈
(Org: 140)
(2,578)
0.03 2,578
136 📈
(Org: 138)
(2,568)
0 2,568
137 📈
(Org: 138)
(2,558)
- 2,558
138 📈
(Org: 144)
(2,453)
0.02 2,453
139 📈
(Org: 143)
(2,406)
- 2,406
140 📈
(Org: 146)
(2,378)
0.03 2,378
141 📈
(Org: 147)
(2,369)
0.03 2,369
142 📈
(Org: 145)
(2,362)
- 2,362
143 📈
(Org: 214)
(2,358)
0.45 2,358
144 📈
(Org: 155)
(2,349)
0.09 2,349
145 📈
(Org: 175)
(2,336)
0.26 2,336
146 📈
(Org: 148)
(2,319)
0.01 2,319
147 📈
(Org: 150)
(2,183)
- 2,183
148 📈
(Org: 151)
(2,167)
- 2,167
149 📈
(Org: 152)
(2,166)
- 2,166
150 📈
(Org: 153)
(2,149)
- 2,149
151 📈
(Org: 154)
(2,147)
- 2,147
152 📈
(Org: 178)
(2,145)
0.2 2,145
153 📈
(Org: 165)
(2,139)
0.1 2,139
154 📈
(Org: 156)
(2,129)
- 2,129
155 📈
(Org: 159)
(2,121)
0.05 2,121
156 📈
(Org: 157)
(2,120)
- 2,120
157 📈
(Org: 203)
(2,111)
0.3 2,111
158 ➡️
(Org: 158)
(2,094)
0.01 2,094
159 📈
(Org: 160)
(2,061)
0.03 2,061
160 📈
(Org: 162)
(2,025)
0.03 2,025
161 ➡️
(Org: 161)
(1,990)
0.01 1,990
162 📈
(Org: 163)
(1,949)
- 1,949
163 📈
(Org: 164)
(1,944)
0.01 1,944
164 📈
(Org: 168)
(1,920)
0.01 1,920
165 📈
(Org: 166)
(1,916)
- 1,916
166 📈
(Org: 170)
(1,843)
- 1,843
167 📈
(Org: 173)
(1,825)
0.02 1,825
168 📈
(Org: 172)
(1,796)
- 1,796
169 📈
(Org: 174)
(1,787)
0 1,787
170 📈
(Org: 180)
(1,743)
0.02 1,743
171 📈
(Org: 183)
(1,741)
0.05 1,741
172 📈
(Org: 248)
(1,735)
0.43 1,735
173 📈
(Org: 176)
(1,717)
0 1,717
174 📈
(Org: 177)
(1,711)
- 1,711
175 📈
(Org: 181)
(1,710)
0.01 1,710
176 📈
(Org: 179)
(1,703)
- 1,703
177 📈
(Org: 185)
(1,698)
0.05 1,698
178 📈
(Org: 195)
(1,693)
0.09 1,693
179 📈
(Org: 189)
(1,675)
0.05 1,675
180 📈
(Org: 182)
(1,672)
- 1,672
181 📈
(Org: 197)
(1,653)
0.07 1,653
182 📈
(Org: 201)
(1,651)
0.08 1,651
183 📈
(Org: 207)
(1,648)
0.16 1,648
184 📈
(Org: 186)
(1,640)
0.02 1,640
185 📉
(Org: 184)
(1,627)
- 1,627
186 📈
(Org: 187)
(1,603)
- 1,603
187 📈
(Org: 205)
(1,599)
0.1 1,599
188 📈
(Org: 190)
(1,579)
- 1,579
189 📈
(Org: 199)
(1,575)
0.03 1,575
190 📈
(Org: 193)
(1,562)
- 1,562
191 📈
(Org: 200)
(1,552)
0.01 1,552
192 📈
(Org: 195)
(1,542)
- 1,542
193 📈
(Org: 202)
(1,520)
0 1,520
194 📈
(Org: 206)
(1,420)
- 1,420
195 📈
(Org: 208)
(1,372)
- 1,372
196 📈
(Org: 213)
(1,364)
0.05 1,364
197 📈
(Org: 240)
(1,350)
0.23 1,350
198 📈
(Org: 220)
(1,342)
0.09 1,342
198 📈
(Org: 209)
(1,342)
- 1,342
200 📈
(Org: 210)
(1,326)
- 1,326