101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1982 - 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: 109)
(2,683)
0.01 2,683
102 📈
(Org: 110)
(2,677)
0.02 2,677
103 📈
(Org: 108)
(2,669)
- 2,669
104 📈
(Org: 111)
(2,625)
- 2,625
105 📈
(Org: 116)
(2,624)
0.04 2,624
106 📈
(Org: 114)
(2,576)
- 2,576
107 📈
(Org: 118)
(2,545)
0.02 2,545
108 📈
(Org: 115)
(2,534)
- 2,534
109 📈
(Org: 117)
(2,515)
- 2,515
110 📈
(Org: 132)
(2,509)
0.17 2,509
111 📈
(Org: 119)
(2,492)
0.01 2,492
112 📈
(Org: 130)
(2,375)
0.11 2,375
113 📈
(Org: 128)
(2,369)
0.1 2,369
114 📈
(Org: 120)
(2,353)
- 2,353
115 📈
(Org: 121)
(2,347)
0.02 2,347
116 📈
(Org: 131)
(2,334)
0.1 2,334
117 📈
(Org: 123)
(2,291)
0.04 2,291
118 📈
(Org: 127)
(2,269)
0.04 2,269
119 📈
(Org: 135)
(2,238)
0.08 2,238
120 📈
(Org: 122)
(2,218)
- 2,218
121 📈
(Org: 124)
(2,198)
- 2,198
122 📈
(Org: 126)
(2,183)
0.01 2,183
123 📈
(Org: 133)
(2,109)
0.01 2,109
124 📈
(Org: 137)
(2,097)
0.02 2,097
125 📈
(Org: 196)
(2,096)
0.39 2,096
126 📈
(Org: 134)
(2,095)
0.01 2,095
127 📈
(Org: 151)
(2,077)
0.11 2,077
128 📈
(Org: 139)
(2,066)
0.02 2,066
129 📈
(Org: 136)
(2,054)
- 2,054
130 📈
(Org: 146)
(2,026)
0.04 2,026
131 📈
(Org: 140)
(2,023)
- 2,023
132 📈
(Org: 171)
(2,019)
0.24 2,019
133 📈
(Org: 142)
(2,016)
0.02 2,016
134 📈
(Org: 186)
(2,002)
0.32 2,002
135 📈
(Org: 144)
(1,998)
0.02 1,998
136 📈
(Org: 143)
(1,965)
- 1,965
137 📈
(Org: 188)
(1,951)
0.31 1,951
138 📈
(Org: 145)
(1,946)
- 1,946
139 📈
(Org: 147)
(1,912)
- 1,912
139 📈
(Org: 149)
(1,912)
0.02 1,912
141 📈
(Org: 158)
(1,904)
0.1 1,904
142 📈
(Org: 155)
(1,893)
0.04 1,893
143 📈
(Org: 156)
(1,854)
0.03 1,854
144 📈
(Org: 150)
(1,846)
- 1,846
144 📈
(Org: 165)
(1,846)
0.11 1,846
146 📈
(Org: 162)
(1,843)
0.08 1,843
147 📈
(Org: 168)
(1,828)
0.12 1,828
148 📈
(Org: 154)
(1,827)
0.01 1,827
149 📈
(Org: 180)
(1,813)
0.2 1,813
150 📈
(Org: 157)
(1,809)
0.01 1,809
151 📈
(Org: 177)
(1,801)
0.18 1,801
152 📈
(Org: 236)
(1,785)
0.45 1,785
153 📈
(Org: 170)
(1,739)
0.09 1,739
154 📈
(Org: 161)
(1,723)
0.01 1,723
155 📈
(Org: 159)
(1,714)
- 1,714
156 📈
(Org: 166)
(1,707)
0.05 1,707
157 📈
(Org: 163)
(1,692)
0 1,692
158 📈
(Org: 164)
(1,680)
0.01 1,680
159 📈
(Org: 218)
(1,669)
0.35 1,669
160 📈
(Org: 174)
(1,657)
0.1 1,657
161 📈
(Org: 182)
(1,641)
0.15 1,641
162 📈
(Org: 167)
(1,627)
0.01 1,627
163 📈
(Org: 169)
(1,589)
- 1,589
164 📈
(Org: 222)
(1,554)
0.31 1,554
165 📈
(Org: 242)
(1,548)
0.39 1,548
166 📈
(Org: 176)
(1,535)
0.04 1,535
167 📈
(Org: 199)
(1,534)
0.18 1,534
168 📈
(Org: 178)
(1,528)
0.04 1,528
169 📈
(Org: 172)
(1,526)
- 1,526
170 📈
(Org: 173)
(1,510)
0.01 1,510
171 📈
(Org: 200)
(1,495)
0.17 1,495
172 📈
(Org: 175)
(1,492)
0 1,492
173 📈
(Org: 241)
(1,480)
0.35 1,480
174 📈
(Org: 179)
(1,474)
0.01 1,474
175 📈
(Org: 181)
(1,442)
- 1,442
176 📈
(Org: 195)
(1,438)
0.11 1,438
177 📈
(Org: 224)
(1,424)
0.27 1,424
178 📈
(Org: 223)
(1,420)
0.25 1,420
179 📈
(Org: 209)
(1,408)
0.16 1,408
180 📈
(Org: 286)
(1,403)
0.49 1,403
181 📈
(Org: 183)
(1,394)
0.01 1,394
182 📈
(Org: 192)
(1,393)
0.07 1,393
183 📈
(Org: 197)
(1,389)
0.08 1,389
184 ➡️
(Org: 184)
(1,384)
0 1,384
185 ➡️
(Org: 185)
(1,374)
0.01 1,374
186 📈
(Org: 187)
(1,350)
- 1,350
187 📈
(Org: 189)
(1,345)
0 1,345
188 📈
(Org: 239)
(1,330)
0.27 1,330
189 📈
(Org: 198)
(1,328)
0.05 1,328
190 📈
(Org: 191)
(1,320)
0.01 1,320
191 📈
(Org: 192)
(1,299)
0 1,299
192 📈
(Org: 205)
(1,277)
0.06 1,277
193 📈
(Org: 202)
(1,247)
0.02 1,247
194 📈
(Org: 201)
(1,228)
- 1,228
195 📈
(Org: 203)
(1,225)
0.02 1,225
196 📈
(Org: 203)
(1,205)
- 1,205
197 📈
(Org: 207)
(1,199)
0.01 1,199
198 📈
(Org: 206)
(1,198)
- 1,198
199 📈
(Org: 216)
(1,195)
0.06 1,195
200 📈
(Org: 208)
(1,189)
0.01 1,189