101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2016 - 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: 99)
(4,281)
0.04 4,281
102 📉
(Org: 97)
(4,248)
- 4,248
103 📉
(Org: 98)
(4,221)
- 4,221
104 📈
(Org: 374)
(4,188)
0.79 4,188
105 📈
(Org: 113)
(4,147)
0.14 4,147
106 📉
(Org: 102)
(4,019)
0.03 4,019
107 📈
(Org: 110)
(3,976)
0.09 3,976
108 📉
(Org: 104)
(3,872)
0.01 3,872
109 📈
(Org: 151)
(3,838)
0.28 3,838
110 📉
(Org: 108)
(3,800)
0.04 3,800
111 📈
(Org: 167)
(3,791)
0.37 3,791
112 📉
(Org: 109)
(3,781)
0.04 3,781
113 📉
(Org: 106)
(3,754)
0.01 3,754
114 📈
(Org: 117)
(3,745)
0.08 3,745
115 ➡️
(Org: 115)
(3,728)
0.06 3,728
116 📉
(Org: 107)
(3,668)
0 3,668
117 📈
(Org: 124)
(3,627)
0.08 3,627
118 📉
(Org: 112)
(3,625)
0.02 3,625
119 📉
(Org: 111)
(3,601)
0 3,601
120 📉
(Org: 114)
(3,599)
0.02 3,599
121 📉
(Org: 119)
(3,591)
0.05 3,591
122 📉
(Org: 118)
(3,588)
0.05 3,588
123 📉
(Org: 116)
(3,514)
0.01 3,514
124 📈
(Org: 145)
(3,509)
0.17 3,509
125 📉
(Org: 120)
(3,465)
0.02 3,465
126 📈
(Org: 154)
(3,460)
0.24 3,460
127 📈
(Org: 135)
(3,452)
0.11 3,452
128 📉
(Org: 125)
(3,448)
0.04 3,448
129 📉
(Org: 121)
(3,441)
0.01 3,441
130 📈
(Org: 201)
(3,409)
0.41 3,409
131 📈
(Org: 198)
(3,386)
0.39 3,386
132 📉
(Org: 126)
(3,368)
0.02 3,368
133 📉
(Org: 122)
(3,348)
- 3,348
134 📉
(Org: 128)
(3,333)
0.02 3,333
135 📉
(Org: 127)
(3,315)
0.01 3,315
136 ➡️
(Org: 136)
(3,288)
0.07 3,288
137 📉
(Org: 132)
(3,279)
0.04 3,279
138 📉
(Org: 129)
(3,204)
- 3,204
139 📉
(Org: 130)
(3,201)
- 3,201
140 📉
(Org: 131)
(3,175)
0 3,175
141 📉
(Org: 139)
(3,132)
0.05 3,132
142 📉
(Org: 133)
(3,110)
0 3,110
143 📉
(Org: 134)
(3,079)
- 3,079
144 📉
(Org: 137)
(3,062)
0.01 3,062
145 📈
(Org: 147)
(3,037)
0.06 3,037
146 📉
(Org: 140)
(3,019)
0.03 3,019
147 📈
(Org: 211)
(3,005)
0.38 3,005
148 📈
(Org: 149)
(2,966)
0.06 2,966
149 📉
(Org: 148)
(2,950)
0.05 2,950
150 📉
(Org: 141)
(2,939)
- 2,939
151 📉
(Org: 143)
(2,920)
0 2,920
152 📈
(Org: 165)
(2,900)
0.16 2,900
153 ➡️
(Org: 153)
(2,893)
0.08 2,893
154 📉
(Org: 146)
(2,884)
0.01 2,884
155 📈
(Org: 234)
(2,881)
0.42 2,881
156 ➡️
(Org: 156)
(2,873)
0.09 2,873
157 📉
(Org: 150)
(2,794)
0.01 2,794
158 📉
(Org: 157)
(2,777)
0.07 2,777
159 📈
(Org: 226)
(2,749)
0.38 2,749
160 📈
(Org: 189)
(2,735)
0.22 2,735
161 📈
(Org: 168)
(2,705)
0.11 2,705
162 📉
(Org: 152)
(2,678)
0 2,678
163 📉
(Org: 155)
(2,635)
0 2,635
164 📉
(Org: 158)
(2,605)
0.01 2,605
165 📈
(Org: 174)
(2,599)
0.11 2,599
166 📉
(Org: 159)
(2,574)
0.01 2,574
167 📉
(Org: 160)
(2,559)
0.01 2,559
168 📉
(Org: 161)
(2,523)
- 2,523
169 📉
(Org: 162)
(2,517)
- 2,517
170 📉
(Org: 166)
(2,516)
0.04 2,516
171 📉
(Org: 163)
(2,506)
- 2,506
172 📉
(Org: 164)
(2,461)
- 2,461
173 📈
(Org: 195)
(2,433)
0.15 2,433
174 📈
(Org: 175)
(2,426)
0.05 2,426
175 📈
(Org: 176)
(2,421)
0.07 2,421
176 📈
(Org: 253)
(2,386)
0.39 2,386
177 📈
(Org: 258)
(2,365)
0.41 2,365
178 📉
(Org: 170)
(2,360)
- 2,360
179 📈
(Org: 185)
(2,352)
0.09 2,352
180 📉
(Org: 171)
(2,351)
- 2,351
181 📉
(Org: 172)
(2,313)
- 2,313
182 📉
(Org: 173)
(2,311)
- 2,311
183 📈
(Org: 250)
(2,251)
0.35 2,251
184 📉
(Org: 178)
(2,248)
- 2,248
185 📉
(Org: 179)
(2,247)
- 2,247
186 📈
(Org: 363)
(2,238)
0.59 2,238
187 📉
(Org: 181)
(2,208)
- 2,208
188 📉
(Org: 182)
(2,194)
- 2,194
189 📉
(Org: 183)
(2,182)
- 2,182
190 📈
(Org: 197)
(2,137)
0.04 2,137
191 📈
(Org: 213)
(2,135)
0.13 2,135
192 📉
(Org: 186)
(2,129)
- 2,129
193 📉
(Org: 189)
(2,124)
- 2,124
194 📉
(Org: 191)
(2,115)
- 2,115
195 📈
(Org: 196)
(2,108)
0.02 2,108
196 📉
(Org: 193)
(2,092)
- 2,092
197 📈
(Org: 237)
(2,085)
0.23 2,085
198 📈
(Org: 199)
(2,056)
0.01 2,056
199 📈
(Org: 215)
(2,013)
0.1 2,013
200 📈
(Org: 205)
(2,011)
0.02 2,011