101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2017 - 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)
(4,178)
0 4,178
102 📉
(Org: 96)
(4,167)
0 4,167
103 📉
(Org: 97)
(4,139)
0 4,139
104 📈
(Org: 349)
(4,085)
0.76 4,085
105 📈
(Org: 210)
(4,019)
0.54 4,019
106 📉
(Org: 100)
(4,000)
0.02 4,000
107 📈
(Org: 164)
(3,976)
0.39 3,976
108 📉
(Org: 107)
(3,925)
0.05 3,925
109 📈
(Org: 117)
(3,905)
0.13 3,905
110 📈
(Org: 111)
(3,902)
0.08 3,902
111 📉
(Org: 102)
(3,899)
0.02 3,899
112 📉
(Org: 106)
(3,871)
0.02 3,871
113 📈
(Org: 116)
(3,857)
0.1 3,857
114 📉
(Org: 104)
(3,851)
0.02 3,851
115 📉
(Org: 105)
(3,831)
0.01 3,831
116 📉
(Org: 109)
(3,744)
0.02 3,744
117 📈
(Org: 126)
(3,728)
0.15 3,728
118 📉
(Org: 108)
(3,691)
0.01 3,691
119 📉
(Org: 115)
(3,663)
0.05 3,663
120 📉
(Org: 114)
(3,655)
0.04 3,655
121 📉
(Org: 113)
(3,521)
- 3,521
122 📈
(Org: 182)
(3,508)
0.38 3,508
123 📉
(Org: 118)
(3,480)
0.04 3,480
124 📈
(Org: 153)
(3,478)
0.27 3,478
125 📉
(Org: 120)
(3,475)
0.04 3,475
126 📉
(Org: 121)
(3,437)
0.04 3,437
127 📉
(Org: 124)
(3,389)
0.06 3,389
128 📉
(Org: 122)
(3,358)
0.03 3,358
129 📈
(Org: 202)
(3,281)
0.4 3,281
130 📉
(Org: 128)
(3,280)
0.04 3,280
131 📉
(Org: 123)
(3,247)
0.02 3,247
132 ➡️
(Org: 132)
(3,232)
0.05 3,232
133 📉
(Org: 131)
(3,218)
0.04 3,218
134 📉
(Org: 127)
(3,202)
0.02 3,202
135 📉
(Org: 124)
(3,199)
0.01 3,199
136 📉
(Org: 129)
(3,106)
0 3,106
137 📈
(Org: 157)
(3,104)
0.19 3,104
138 📉
(Org: 133)
(3,087)
0 3,087
139 📈
(Org: 150)
(3,081)
0.15 3,081
140 📉
(Org: 134)
(3,075)
- 3,075
141 📉
(Org: 135)
(3,065)
0.01 3,065
142 📉
(Org: 136)
(3,051)
0 3,051
143 📈
(Org: 236)
(3,008)
0.48 3,008
144 📉
(Org: 137)
(2,996)
- 2,996
145 📉
(Org: 138)
(2,960)
0 2,960
146 📈
(Org: 147)
(2,953)
0.09 2,953
147 📉
(Org: 146)
(2,898)
0.07 2,898
147 📈
(Org: 148)
(2,898)
0.08 2,898
147 📈
(Org: 152)
(2,898)
0.12 2,898
150 📉
(Org: 140)
(2,847)
- 2,847
151 📉
(Org: 142)
(2,801)
- 2,801
152 📈
(Org: 228)
(2,790)
0.4 2,790
153 📉
(Org: 144)
(2,749)
- 2,749
154 📉
(Org: 145)
(2,727)
0.01 2,727
155 📉
(Org: 149)
(2,652)
0.01 2,652
156 📉
(Org: 151)
(2,622)
0.01 2,622
157 📈
(Org: 251)
(2,574)
0.42 2,574
158 📈
(Org: 168)
(2,570)
0.09 2,570
159 📉
(Org: 156)
(2,555)
0.02 2,555
160 📉
(Org: 155)
(2,553)
0.01 2,553
161 📈
(Org: 172)
(2,550)
0.1 2,550
162 📈
(Org: 166)
(2,549)
0.06 2,549
163 📉
(Org: 154)
(2,539)
0.01 2,539
164 📈
(Org: 215)
(2,532)
0.3 2,532
165 📈
(Org: 169)
(2,518)
0.08 2,518
166 📈
(Org: 239)
(2,496)
0.38 2,496
167 📉
(Org: 158)
(2,493)
0 2,493
168 📉
(Org: 167)
(2,487)
0.04 2,487
169 📉
(Org: 162)
(2,482)
0.02 2,482
170 📉
(Org: 159)
(2,452)
0 2,452
171 📉
(Org: 163)
(2,423)
0 2,423
172 📉
(Org: 165)
(2,409)
- 2,409
173 📈
(Org: 186)
(2,363)
0.11 2,363
174 📈
(Org: 177)
(2,338)
0.03 2,338
175 📉
(Org: 170)
(2,327)
- 2,327
176 📉
(Org: 171)
(2,310)
0 2,310
177 📉
(Org: 173)
(2,293)
- 2,293
178 📉
(Org: 175)
(2,284)
- 2,284
179 📈
(Org: 199)
(2,281)
0.13 2,281
180 📉
(Org: 176)
(2,279)
- 2,279
181 📈
(Org: 203)
(2,258)
0.14 2,258
181 📈
(Org: 284)
(2,258)
0.44 2,258
183 📉
(Org: 178)
(2,239)
- 2,239
184 📉
(Org: 179)
(2,221)
- 2,221
185 📈
(Org: 193)
(2,213)
0.08 2,213
186 📉
(Org: 180)
(2,206)
0 2,206
187 📉
(Org: 181)
(2,198)
- 2,198
188 📈
(Org: 192)
(2,176)
0.06 2,176
189 📉
(Org: 183)
(2,136)
0.01 2,136
190 📉
(Org: 188)
(2,129)
0.02 2,129
191 📉
(Org: 185)
(2,111)
- 2,111
192 📈
(Org: 288)
(2,107)
0.41 2,107
193 📈
(Org: 262)
(2,101)
0.34 2,101
194 📉
(Org: 190)
(2,073)
- 2,073
195 📉
(Org: 191)
(2,060)
- 2,060
196 ➡️
(Org: 196)
(2,041)
0.01 2,041
197 📉
(Org: 194)
(2,036)
- 2,036
198 📉
(Org: 195)
(2,032)
- 2,032
199 📉
(Org: 197)
(2,003)
- 2,003
200 📉
(Org: 198)
(1,985)
- 1,985