101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2014 - 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: 144)
(4,272)
0.34 4,272
102 📉
(Org: 101)
(4,173)
0.07 4,173
103 📉
(Org: 98)
(4,100)
0.04 4,100
104 📉
(Org: 96)
(4,098)
0.02 4,098
105 📉
(Org: 97)
(3,989)
0 3,989
106 📈
(Org: 364)
(3,940)
0.78 3,940
107 📉
(Org: 100)
(3,903)
- 3,903
108 📉
(Org: 103)
(3,890)
0.03 3,890
109 ➡️
(Org: 109)
(3,880)
0.06 3,880
110 📉
(Org: 104)
(3,800)
0.01 3,800
111 📈
(Org: 115)
(3,777)
0.09 3,777
112 📉
(Org: 107)
(3,754)
0 3,754
113 📈
(Org: 121)
(3,709)
0.1 3,709
114 📉
(Org: 112)
(3,691)
0.05 3,691
115 📈
(Org: 216)
(3,627)
0.51 3,627
116 📉
(Org: 110)
(3,596)
- 3,596
117 📈
(Org: 193)
(3,545)
0.4 3,545
118 📉
(Org: 111)
(3,523)
- 3,523
119 ➡️
(Org: 119)
(3,513)
0.03 3,513
120 📈
(Org: 122)
(3,501)
0.05 3,501
121 📉
(Org: 120)
(3,484)
0.03 3,484
122 📉
(Org: 113)
(3,481)
- 3,481
123 📉
(Org: 114)
(3,461)
0 3,461
124 📉
(Org: 115)
(3,456)
0.01 3,456
125 📉
(Org: 118)
(3,424)
- 3,424
126 📈
(Org: 130)
(3,383)
0.07 3,383
127 📈
(Org: 131)
(3,369)
0.07 3,369
128 📈
(Org: 211)
(3,363)
0.45 3,363
129 📉
(Org: 125)
(3,246)
- 3,246
130 📉
(Org: 126)
(3,228)
- 3,228
131 📉
(Org: 128)
(3,219)
0.01 3,219
131 📈
(Org: 140)
(3,219)
0.1 3,219
133 📉
(Org: 127)
(3,211)
0 3,211
134 📉
(Org: 129)
(3,171)
- 3,171
135 📈
(Org: 185)
(3,170)
0.27 3,170
136 📈
(Org: 137)
(3,160)
0.07 3,160
137 📉
(Org: 132)
(3,110)
0.01 3,110
138 📈
(Org: 205)
(3,107)
0.39 3,107
139 📉
(Org: 135)
(3,057)
0.02 3,057
140 📉
(Org: 136)
(3,039)
0.02 3,039
141 📈
(Org: 178)
(3,020)
0.21 3,020
142 📉
(Org: 134)
(3,011)
- 3,011
143 📉
(Org: 138)
(2,934)
0 2,934
144 📉
(Org: 139)
(2,905)
0 2,905
145 📉
(Org: 141)
(2,887)
- 2,887
146 📈
(Org: 156)
(2,859)
0.08 2,859
147 📉
(Org: 145)
(2,849)
0.02 2,849
148 📈
(Org: 174)
(2,839)
0.14 2,839
149 📈
(Org: 177)
(2,824)
0.15 2,824
150 📉
(Org: 143)
(2,819)
- 2,819
151 📈
(Org: 172)
(2,800)
0.12 2,800
152 📈
(Org: 153)
(2,795)
0.04 2,795
153 📉
(Org: 147)
(2,763)
0 2,763
154 ➡️
(Org: 154)
(2,752)
0.03 2,752
155 📉
(Org: 148)
(2,733)
- 2,733
156 📉
(Org: 151)
(2,694)
0 2,694
157 📉
(Org: 152)
(2,692)
0 2,692
157 📈
(Org: 169)
(2,692)
0.06 2,692
159 📈
(Org: 224)
(2,688)
0.37 2,688
160 📉
(Org: 159)
(2,672)
0.03 2,672
161 📉
(Org: 155)
(2,646)
- 2,646
162 📉
(Org: 160)
(2,638)
0.01 2,638
163 📈
(Org: 189)
(2,619)
0.16 2,619
164 📉
(Org: 157)
(2,618)
- 2,618
165 📈
(Org: 167)
(2,615)
0.03 2,615
166 ➡️
(Org: 166)
(2,608)
0.02 2,608
167 📉
(Org: 165)
(2,605)
0.01 2,605
168 📉
(Org: 158)
(2,602)
- 2,602
169 📉
(Org: 161)
(2,600)
0 2,600
170 📈
(Org: 180)
(2,593)
0.08 2,593
171 📉
(Org: 162)
(2,591)
- 2,591
172 📉
(Org: 163)
(2,589)
0 2,589
173 📉
(Org: 164)
(2,580)
0 2,580
174 📈
(Org: 175)
(2,535)
0.04 2,535
175 📈
(Org: 260)
(2,533)
0.43 2,533
176 📈
(Org: 203)
(2,520)
0.23 2,520
177 📉
(Org: 170)
(2,506)
0 2,506
178 📈
(Org: 200)
(2,479)
0.19 2,479
179 📈
(Org: 183)
(2,477)
0.06 2,477
180 📈
(Org: 182)
(2,463)
0.05 2,463
181 📈
(Org: 184)
(2,455)
0.05 2,455
182 📉
(Org: 180)
(2,438)
0.02 2,438
183 📉
(Org: 176)
(2,422)
- 2,422
184 📉
(Org: 179)
(2,418)
0.01 2,418
185 📈
(Org: 235)
(2,394)
0.34 2,394
186 📈
(Org: 202)
(2,371)
0.18 2,371
187 📉
(Org: 186)
(2,283)
- 2,283
188 📉
(Org: 187)
(2,280)
- 2,280
189 📈
(Org: 210)
(2,269)
0.19 2,269
190 📈
(Org: 219)
(2,221)
0.21 2,221
191 📉
(Org: 190)
(2,201)
0.01 2,201
192 📈
(Org: 275)
(2,199)
0.4 2,199
193 📈
(Org: 212)
(2,195)
0.17 2,195
194 📉
(Org: 191)
(2,159)
0 2,159
195 📈
(Org: 230)
(2,154)
0.24 2,154
196 📉
(Org: 192)
(2,137)
- 2,137
197 📉
(Org: 195)
(2,107)
0.01 2,107
198 📈
(Org: 238)
(2,094)
0.26 2,094
199 📈
(Org: 208)
(2,046)
0.09 2,046
200 📉
(Org: 199)
(2,039)
- 2,039