101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2020 - 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: 94)
(3,854)
- 3,854
102 📉
(Org: 95)
(3,811)
- 3,811
103 📉
(Org: 100)
(3,807)
0.04 3,807
104 📈
(Org: 139)
(3,804)
0.31 3,804
105 📉
(Org: 97)
(3,793)
0 3,793
106 📈
(Org: 198)
(3,766)
0.49 3,766
107 📉
(Org: 101)
(3,736)
0.04 3,736
108 📈
(Org: 156)
(3,689)
0.35 3,689
109 📉
(Org: 101)
(3,662)
0.02 3,662
110 📈
(Org: 118)
(3,657)
0.13 3,657
111 📉
(Org: 103)
(3,644)
0.02 3,644
112 📉
(Org: 106)
(3,617)
0.06 3,617
113 📉
(Org: 107)
(3,546)
0.04 3,546
114 📉
(Org: 104)
(3,509)
0.02 3,509
115 📉
(Org: 108)
(3,477)
0.03 3,477
116 📉
(Org: 105)
(3,451)
0.01 3,451
117 ➡️
(Org: 117)
(3,366)
0.05 3,366
118 📈
(Org: 216)
(3,290)
0.47 3,290
119 📈
(Org: 137)
(3,289)
0.18 3,289
120 📉
(Org: 112)
(3,262)
- 3,262
121 📉
(Org: 113)
(3,257)
- 3,257
122 📈
(Org: 187)
(3,247)
0.37 3,247
123 📉
(Org: 114)
(3,226)
0 3,226
124 📉
(Org: 123)
(3,193)
0.06 3,193
124 📉
(Org: 116)
(3,193)
0 3,193
126 📈
(Org: 133)
(3,098)
0.11 3,098
127 📈
(Org: 134)
(3,067)
0.1 3,067
127 📉
(Org: 121)
(3,067)
0.01 3,067
129 📉
(Org: 120)
(3,058)
0 3,058
130 📈
(Org: 135)
(3,006)
0.09 3,006
131 📈
(Org: 259)
(2,927)
0.54 2,927
132 📉
(Org: 126)
(2,910)
- 2,910
133 📉
(Org: 131)
(2,905)
0.04 2,905
134 📈
(Org: 141)
(2,903)
0.11 2,903
135 📉
(Org: 127)
(2,881)
0.01 2,881
136 📈
(Org: 144)
(2,849)
0.11 2,849
137 📉
(Org: 128)
(2,844)
0.01 2,844
138 📉
(Org: 130)
(2,842)
0.02 2,842
139 📉
(Org: 132)
(2,822)
0.02 2,822
140 📉
(Org: 129)
(2,814)
- 2,814
141 📉
(Org: 136)
(2,712)
- 2,712
142 📈
(Org: 258)
(2,710)
0.5 2,710
143 📈
(Org: 222)
(2,708)
0.38 2,708
144 📈
(Org: 255)
(2,688)
0.49 2,688
145 📉
(Org: 143)
(2,679)
0.05 2,679
146 📉
(Org: 138)
(2,654)
0.01 2,654
147 📉
(Org: 140)
(2,633)
0.01 2,633
148 ➡️
(Org: 148)
(2,589)
0.04 2,589
149 📉
(Org: 142)
(2,588)
- 2,588
150 📉
(Org: 147)
(2,577)
0.04 2,577
151 📈
(Org: 171)
(2,546)
0.11 2,546
152 📉
(Org: 145)
(2,523)
- 2,523
153 📉
(Org: 146)
(2,513)
- 2,513
154 📈
(Org: 256)
(2,490)
0.45 2,490
155 📉
(Org: 151)
(2,487)
0.01 2,487
156 📉
(Org: 149)
(2,479)
- 2,479
157 📉
(Org: 154)
(2,477)
0.02 2,477
158 📈
(Org: 167)
(2,471)
0.07 2,471
159 📈
(Org: 178)
(2,463)
0.13 2,463
160 📈
(Org: 224)
(2,461)
0.32 2,461
160 📉
(Org: 153)
(2,461)
0.01 2,461
162 📉
(Org: 152)
(2,456)
- 2,456
163 📈
(Org: 168)
(2,447)
0.06 2,447
164 📉
(Org: 155)
(2,432)
- 2,432
165 📈
(Org: 280)
(2,428)
0.51 2,428
166 📉
(Org: 157)
(2,426)
0.02 2,426
167 📉
(Org: 165)
(2,407)
0.04 2,407
168 📉
(Org: 159)
(2,366)
0.01 2,366
168 📉
(Org: 163)
(2,366)
0.01 2,366
170 📈
(Org: 172)
(2,354)
0.05 2,354
171 📉
(Org: 160)
(2,349)
- 2,349
172 📉
(Org: 166)
(2,343)
0.01 2,343
173 📈
(Org: 177)
(2,308)
0.07 2,308
174 📉
(Org: 170)
(2,299)
0 2,299
175 📉
(Org: 169)
(2,296)
- 2,296
176 📈
(Org: 178)
(2,277)
0.06 2,277
177 📉
(Org: 175)
(2,231)
0.01 2,231
178 📉
(Org: 173)
(2,219)
- 2,219
179 📉
(Org: 176)
(2,214)
0.02 2,214
180 📈
(Org: 182)
(2,171)
0.02 2,171
181 ➡️
(Org: 181)
(2,138)
0 2,138
181 📉
(Org: 180)
(2,138)
- 2,138
183 📈
(Org: 318)
(2,135)
0.51 2,135
184 📈
(Org: 201)
(2,133)
0.11 2,133
184 📉
(Org: 183)
(2,133)
0.01 2,133
186 📉
(Org: 184)
(2,107)
- 2,107
187 📉
(Org: 186)
(2,095)
- 2,095
188 📈
(Org: 203)
(2,071)
0.09 2,071
189 📉
(Org: 187)
(2,054)
- 2,054
190 📉
(Org: 189)
(2,053)
- 2,053
191 📉
(Org: 190)
(2,050)
0.01 2,050
192 ➡️
(Org: 192)
(2,041)
0.02 2,041
193 📉
(Org: 192)
(2,027)
0.01 2,027
194 📈
(Org: 204)
(2,026)
0.08 2,026
195 📈
(Org: 247)
(2,018)
0.29 2,018
196 📉
(Org: 191)
(2,013)
- 2,013
197 📈
(Org: 284)
(1,985)
0.4 1,985
198 📉
(Org: 194)
(1,973)
0 1,973
199 📉
(Org: 195)
(1,950)
- 1,950
200 📉
(Org: 196)
(1,936)
0.01 1,936