101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1977 - 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: 115)
(2,536)
0.09 2,536
101 📈
(Org: 106)
(2,536)
0 2,536
103 📈
(Org: 110)
(2,507)
0.02 2,507
104 📈
(Org: 111)
(2,493)
0.02 2,493
105 📈
(Org: 114)
(2,446)
0.05 2,446
106 📈
(Org: 152)
(2,360)
0.31 2,360
107 📈
(Org: 119)
(2,334)
0.02 2,334
108 📈
(Org: 120)
(2,309)
0.01 2,309
109 📈
(Org: 116)
(2,295)
- 2,295
110 📈
(Org: 117)
(2,288)
- 2,288
111 📈
(Org: 131)
(2,284)
0.1 2,284
112 📈
(Org: 121)
(2,262)
- 2,262
113 📈
(Org: 124)
(2,203)
0.02 2,203
114 📈
(Org: 140)
(2,192)
0.12 2,192
115 📈
(Org: 123)
(2,185)
- 2,185
116 📈
(Org: 163)
(2,183)
0.33 2,183
117 📈
(Org: 125)
(2,168)
0.01 2,168
118 📈
(Org: 128)
(2,158)
0.02 2,158
119 📈
(Org: 126)
(2,141)
0 2,141
120 📈
(Org: 129)
(2,140)
0.01 2,140
121 📈
(Org: 127)
(2,134)
- 2,134
122 📈
(Org: 130)
(2,111)
0.01 2,111
123 📈
(Org: 169)
(2,106)
0.32 2,106
124 📈
(Org: 133)
(2,076)
0.03 2,076
125 📈
(Org: 132)
(2,044)
- 2,044
126 📈
(Org: 143)
(2,039)
0.09 2,039
127 📈
(Org: 135)
(1,984)
0.01 1,984
128 📈
(Org: 134)
(1,971)
- 1,971
129 📈
(Org: 139)
(1,956)
0.02 1,956
130 📈
(Org: 137)
(1,950)
- 1,950
130 📈
(Org: 137)
(1,950)
- 1,950
132 📈
(Org: 150)
(1,931)
0.14 1,931
133 📈
(Org: 141)
(1,930)
0.01 1,930
134 📈
(Org: 159)
(1,926)
0.22 1,926
135 📈
(Org: 210)
(1,917)
0.45 1,917
136 📈
(Org: 188)
(1,912)
0.35 1,912
137 📈
(Org: 142)
(1,888)
0.01 1,888
138 📈
(Org: 144)
(1,819)
- 1,819
139 📈
(Org: 147)
(1,787)
0.03 1,787
140 📈
(Org: 222)
(1,785)
0.44 1,785
141 📈
(Org: 145)
(1,778)
0.01 1,778
142 📈
(Org: 149)
(1,755)
0.05 1,755
143 📈
(Org: 161)
(1,751)
0.15 1,751
144 📈
(Org: 155)
(1,749)
0.1 1,749
145 📈
(Org: 146)
(1,744)
0 1,744
146 📈
(Org: 173)
(1,706)
0.2 1,706
147 📈
(Org: 148)
(1,700)
- 1,700
148 📈
(Org: 166)
(1,673)
0.14 1,673
149 📈
(Org: 158)
(1,671)
0.1 1,671
150 📈
(Org: 151)
(1,630)
- 1,630
151 📈
(Org: 154)
(1,619)
0.02 1,619
152 📈
(Org: 153)
(1,610)
- 1,610
153 📈
(Org: 172)
(1,604)
0.14 1,604
153 📈
(Org: 162)
(1,604)
0.07 1,604
155 📈
(Org: 198)
(1,577)
0.27 1,577
156 📈
(Org: 159)
(1,564)
0.04 1,564
157 ➡️
(Org: 157)
(1,530)
0.01 1,530
158 📈
(Org: 168)
(1,515)
0.06 1,515
159 📈
(Org: 165)
(1,468)
0.01 1,468
160 📈
(Org: 164)
(1,467)
0.01 1,467
161 📈
(Org: 171)
(1,465)
0.06 1,465
162 📈
(Org: 167)
(1,436)
- 1,436
163 📈
(Org: 184)
(1,410)
0.1 1,410
164 📈
(Org: 170)
(1,400)
0 1,400
165 📈
(Org: 202)
(1,390)
0.19 1,390
166 📈
(Org: 174)
(1,387)
0.02 1,387
167 📈
(Org: 212)
(1,382)
0.24 1,382
168 📈
(Org: 176)
(1,368)
0.01 1,368
169 📈
(Org: 178)
(1,365)
0.05 1,365
170 📈
(Org: 174)
(1,363)
- 1,363
171 📈
(Org: 183)
(1,351)
0.06 1,351
172 📈
(Org: 185)
(1,339)
0.06 1,339
173 📈
(Org: 177)
(1,337)
0 1,337
174 📈
(Org: 179)
(1,328)
0.03 1,328
175 📈
(Org: 192)
(1,297)
0.05 1,297
176 📈
(Org: 249)
(1,293)
0.36 1,293
177 📈
(Org: 180)
(1,288)
0 1,288
178 📈
(Org: 215)
(1,277)
0.19 1,277
179 📈
(Org: 181)
(1,274)
- 1,274
180 📈
(Org: 182)
(1,269)
- 1,269
181 📈
(Org: 187)
(1,259)
0 1,259
182 📈
(Org: 194)
(1,250)
0.02 1,250
183 📈
(Org: 193)
(1,248)
0.02 1,248
184 📈
(Org: 189)
(1,244)
- 1,244
185 📈
(Org: 190)
(1,242)
- 1,242
185 📈
(Org: 195)
(1,242)
0.02 1,242
187 📈
(Org: 234)
(1,221)
0.26 1,221
188 📈
(Org: 205)
(1,180)
0.07 1,180
189 📈
(Org: 197)
(1,173)
0.01 1,173
190 📈
(Org: 196)
(1,172)
- 1,172
191 📈
(Org: 209)
(1,167)
0.09 1,167
192 📈
(Org: 199)
(1,155)
0.01 1,155
193 📈
(Org: 208)
(1,153)
0.08 1,153
194 📈
(Org: 201)
(1,145)
0.01 1,145
195 📈
(Org: 199)
(1,144)
- 1,144
196 📈
(Org: 203)
(1,125)
0.01 1,125
197 📈
(Org: 211)
(1,123)
0.06 1,123
198 📈
(Org: 203)
(1,115)
- 1,115
199 📈
(Org: 206)
(1,089)
0.01 1,089
200 📈
(Org: 218)
(1,082)
0.07 1,082