101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1985 - 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)
- 2,683
102 📈
(Org: 115)
(2,650)
0.07 2,650
103 📈
(Org: 110)
(2,646)
0.03 2,646
104 📈
(Org: 113)
(2,620)
0.04 2,620
105 📈
(Org: 145)
(2,589)
0.25 2,589
106 📈
(Org: 113)
(2,558)
0.01 2,558
107 📈
(Org: 122)
(2,545)
0.09 2,545
108 📈
(Org: 111)
(2,533)
- 2,533
109 📈
(Org: 138)
(2,524)
0.19 2,524
110 📈
(Org: 116)
(2,510)
0.03 2,510
111 📈
(Org: 117)
(2,435)
0.01 2,435
112 📈
(Org: 119)
(2,397)
0.01 2,397
113 📈
(Org: 156)
(2,372)
0.27 2,372
114 📈
(Org: 121)
(2,347)
0.01 2,347
115 📈
(Org: 125)
(2,323)
0.01 2,323
116 📈
(Org: 123)
(2,316)
- 2,316
117 📈
(Org: 124)
(2,295)
- 2,295
118 📈
(Org: 136)
(2,282)
0.09 2,282
119 📈
(Org: 126)
(2,276)
- 2,276
120 📈
(Org: 127)
(2,267)
0.03 2,267
121 📈
(Org: 149)
(2,228)
0.16 2,228
122 📈
(Org: 131)
(2,213)
0.03 2,213
123 📈
(Org: 133)
(2,203)
0.03 2,203
124 📈
(Org: 128)
(2,187)
- 2,187
125 📈
(Org: 130)
(2,184)
0.01 2,184
126 📈
(Org: 146)
(2,177)
0.12 2,177
127 📈
(Org: 135)
(2,153)
0.03 2,153
128 📈
(Org: 132)
(2,145)
0 2,145
129 📈
(Org: 144)
(2,123)
0.09 2,123
130 📈
(Org: 140)
(2,093)
0.04 2,093
131 📈
(Org: 137)
(2,076)
0 2,076
132 📈
(Org: 142)
(2,070)
0.03 2,070
133 📈
(Org: 141)
(2,051)
0.02 2,051
134 📈
(Org: 143)
(1,975)
- 1,975
135 📈
(Org: 214)
(1,926)
0.41 1,926
136 📈
(Org: 147)
(1,904)
0.01 1,904
137 📈
(Org: 150)
(1,896)
0.03 1,896
138 📈
(Org: 167)
(1,895)
0.14 1,895
139 📈
(Org: 165)
(1,880)
0.11 1,880
140 📈
(Org: 154)
(1,876)
0.04 1,876
141 📈
(Org: 161)
(1,831)
0.07 1,831
142 📈
(Org: 202)
(1,830)
0.34 1,830
143 📈
(Org: 153)
(1,818)
0.01 1,818
144 📈
(Org: 164)
(1,816)
0.07 1,816
145 📈
(Org: 159)
(1,803)
0.05 1,803
146 📈
(Org: 152)
(1,799)
- 1,799
147 📈
(Org: 180)
(1,788)
0.19 1,788
148 📈
(Org: 187)
(1,780)
0.25 1,780
149 📈
(Org: 197)
(1,778)
0.31 1,778
150 📈
(Org: 173)
(1,762)
0.12 1,762
151 📈
(Org: 157)
(1,739)
0.01 1,739
152 📈
(Org: 214)
(1,737)
0.35 1,737
153 📈
(Org: 158)
(1,733)
0.01 1,733
154 📈
(Org: 188)
(1,712)
0.22 1,712
155 📈
(Org: 162)
(1,708)
0.01 1,708
156 📈
(Org: 160)
(1,705)
- 1,705
157 📈
(Org: 163)
(1,689)
- 1,689
158 📈
(Org: 166)
(1,651)
- 1,651
159 📈
(Org: 176)
(1,632)
0.07 1,632
160 📈
(Org: 170)
(1,622)
0.02 1,622
161 📈
(Org: 168)
(1,621)
- 1,621
162 📈
(Org: 171)
(1,616)
0.03 1,616
163 📈
(Org: 190)
(1,612)
0.18 1,612
164 📈
(Org: 195)
(1,611)
0.22 1,611
165 📈
(Org: 181)
(1,601)
0.1 1,601
166 📈
(Org: 169)
(1,598)
0 1,598
167 📈
(Org: 177)
(1,595)
0.05 1,595
168 📈
(Org: 172)
(1,561)
- 1,561
169 📈
(Org: 174)
(1,544)
0.01 1,544
170 📈
(Org: 175)
(1,537)
0.01 1,537
171 📈
(Org: 229)
(1,514)
0.34 1,514
172 📈
(Org: 178)
(1,492)
- 1,492
173 📈
(Org: 244)
(1,491)
0.37 1,491
174 📈
(Org: 179)
(1,472)
0.01 1,472
175 📈
(Org: 182)
(1,434)
0.01 1,434
176 📈
(Org: 183)
(1,412)
- 1,412
177 📈
(Org: 184)
(1,384)
- 1,384
177 📈
(Org: 184)
(1,384)
- 1,384
179 📈
(Org: 186)
(1,380)
- 1,380
180 📈
(Org: 198)
(1,366)
0.11 1,366
181 📈
(Org: 189)
(1,334)
0 1,334
182 📈
(Org: 192)
(1,318)
0 1,318
183 📈
(Org: 206)
(1,309)
0.12 1,309
184 📈
(Org: 193)
(1,298)
0 1,298
185 📈
(Org: 257)
(1,291)
0.32 1,291
186 📈
(Org: 194)
(1,287)
0.02 1,287
187 📈
(Org: 220)
(1,250)
0.14 1,250
188 📈
(Org: 207)
(1,246)
0.08 1,246
189 📈
(Org: 203)
(1,245)
0.05 1,245
189 📈
(Org: 196)
(1,245)
- 1,245
191 📈
(Org: 204)
(1,236)
0.04 1,236
192 📈
(Org: 236)
(1,232)
0.2 1,232
192 📈
(Org: 200)
(1,232)
0.02 1,232
194 📈
(Org: 199)
(1,222)
0 1,222
195 📈
(Org: 200)
(1,221)
0.01 1,221
196 📈
(Org: 208)
(1,216)
0.06 1,216
197 📈
(Org: 250)
(1,205)
0.25 1,205
198 📈
(Org: 228)
(1,204)
0.16 1,204
199 📈
(Org: 296)
(1,194)
0.42 1,194
200 📈
(Org: 210)
(1,185)
0.04 1,185