101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2018 - 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: 95)
(4,149)
0.03 4,149
102 📈
(Org: 112)
(4,077)
0.15 4,077
103 📉
(Org: 101)
(4,012)
0.05 4,012
104 📉
(Org: 96)
(4,006)
- 4,006
105 ➡️
(Org: 105)
(3,999)
0.09 3,999
106 📉
(Org: 103)
(3,967)
0.05 3,967
107 ➡️
(Org: 107)
(3,941)
0.09 3,941
108 📉
(Org: 99)
(3,878)
- 3,878
109 📉
(Org: 102)
(3,854)
0.02 3,854
110 📈
(Org: 202)
(3,737)
0.46 3,737
111 📈
(Org: 113)
(3,704)
0.07 3,704
112 📈
(Org: 118)
(3,691)
0.09 3,691
113 📈
(Org: 171)
(3,679)
0.38 3,679
114 📉
(Org: 110)
(3,669)
0.04 3,669
115 📉
(Org: 114)
(3,629)
0.05 3,629
116 📈
(Org: 126)
(3,609)
0.14 3,609
117 📈
(Org: 121)
(3,607)
0.09 3,607
118 📈
(Org: 233)
(3,592)
0.54 3,592
119 📉
(Org: 108)
(3,585)
0 3,585
120 📉
(Org: 117)
(3,556)
0.05 3,556
121 📉
(Org: 111)
(3,485)
0 3,485
122 📈
(Org: 154)
(3,437)
0.27 3,437
123 📉
(Org: 115)
(3,417)
0 3,417
124 📈
(Org: 199)
(3,391)
0.4 3,391
125 📉
(Org: 119)
(3,376)
0.01 3,376
126 📉
(Org: 120)
(3,374)
0.02 3,374
127 📉
(Org: 122)
(3,372)
0.04 3,372
128 📉
(Org: 124)
(3,352)
0.04 3,352
129 📉
(Org: 123)
(3,332)
0.03 3,332
130 📈
(Org: 198)
(3,301)
0.38 3,301
131 📈
(Org: 151)
(3,239)
0.2 3,239
132 📉
(Org: 125)
(3,192)
0.02 3,192
133 📉
(Org: 131)
(3,154)
0.04 3,154
134 📉
(Org: 130)
(3,142)
0.04 3,142
135 📉
(Org: 127)
(3,131)
0.02 3,131
136 📈
(Org: 150)
(3,069)
0.15 3,069
137 📉
(Org: 128)
(3,058)
0 3,058
138 📉
(Org: 129)
(3,041)
- 3,041
139 📉
(Org: 136)
(2,995)
0.04 2,995
140 📈
(Org: 144)
(2,941)
0.06 2,941
141 📉
(Org: 132)
(2,937)
0 2,937
142 📉
(Org: 133)
(2,924)
0 2,924
143 📉
(Org: 134)
(2,911)
0 2,911
144 📈
(Org: 149)
(2,895)
0.1 2,895
145 📉
(Org: 135)
(2,884)
- 2,884
146 📉
(Org: 137)
(2,864)
- 2,864
147 📉
(Org: 141)
(2,855)
0.02 2,855
148 📉
(Org: 142)
(2,852)
0.02 2,852
149 📉
(Org: 139)
(2,843)
- 2,843
150 📉
(Org: 140)
(2,817)
0 2,817
151 📈
(Org: 157)
(2,781)
0.11 2,781
152 ➡️
(Org: 152)
(2,775)
0.08 2,775
153 📉
(Org: 143)
(2,771)
- 2,771
154 📉
(Org: 145)
(2,742)
0.01 2,742
155 📉
(Org: 146)
(2,693)
0 2,693
156 📉
(Org: 148)
(2,643)
- 2,643
157 📈
(Org: 163)
(2,591)
0.08 2,591
158 📉
(Org: 153)
(2,540)
0.01 2,540
159 📉
(Org: 156)
(2,535)
0.01 2,535
160 📉
(Org: 155)
(2,523)
0.01 2,523
161 📈
(Org: 249)
(2,512)
0.41 2,512
162 📈
(Org: 180)
(2,508)
0.13 2,508
163 📉
(Org: 158)
(2,481)
0.01 2,481
164 📉
(Org: 159)
(2,463)
0.02 2,463
165 📈
(Org: 166)
(2,453)
0.05 2,453
166 📈
(Org: 222)
(2,435)
0.31 2,435
167 📈
(Org: 180)
(2,410)
0.09 2,410
168 📈
(Org: 175)
(2,391)
0.06 2,391
169 📉
(Org: 161)
(2,385)
0 2,385
170 📉
(Org: 163)
(2,379)
0 2,379
171 📈
(Org: 268)
(2,368)
0.44 2,368
171 📉
(Org: 165)
(2,368)
0.01 2,368
173 📈
(Org: 178)
(2,365)
0.07 2,365
174 📈
(Org: 276)
(2,362)
0.46 2,362
175 📈
(Org: 186)
(2,361)
0.09 2,361
176 📈
(Org: 192)
(2,327)
0.09 2,327
177 📉
(Org: 167)
(2,326)
0.01 2,326
178 📉
(Org: 172)
(2,312)
0.02 2,312
179 📉
(Org: 169)
(2,291)
- 2,291
180 📉
(Org: 170)
(2,286)
- 2,286
181 📈
(Org: 256)
(2,276)
0.38 2,276
182 📉
(Org: 173)
(2,257)
0 2,257
182 📉
(Org: 174)
(2,257)
0 2,257
184 📉
(Org: 177)
(2,224)
- 2,224
185 📈
(Org: 188)
(2,198)
0.03 2,198
186 📉
(Org: 179)
(2,185)
- 2,185
187 📉
(Org: 182)
(2,174)
- 2,174
188 📉
(Org: 183)
(2,171)
- 2,171
189 📉
(Org: 184)
(2,167)
- 2,167
190 📈
(Org: 200)
(2,162)
0.06 2,162
191 📈
(Org: 210)
(2,154)
0.13 2,154
192 📈
(Org: 204)
(2,138)
0.08 2,138
193 📉
(Org: 187)
(2,137)
- 2,137
194 📉
(Org: 190)
(2,136)
0.01 2,136
195 📉
(Org: 189)
(2,133)
0 2,133
196 📉
(Org: 190)
(2,116)
- 2,116
196 📉
(Org: 194)
(2,116)
0.01 2,116
198 📈
(Org: 206)
(2,090)
0.06 2,090
199 📈
(Org: 288)
(2,078)
0.41 2,078
200 📉
(Org: 197)
(2,075)
- 2,075