101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2013 - 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)
(4,137)
0.06 4,137
102 📉
(Org: 95)
(4,110)
0.02 4,110
103 📈
(Org: 105)
(3,962)
0.07 3,962
104 📉
(Org: 103)
(3,953)
0.04 3,953
105 📉
(Org: 101)
(3,894)
0.01 3,894
106 📉
(Org: 100)
(3,891)
- 3,891
107 📈
(Org: 114)
(3,850)
0.1 3,850
108 📉
(Org: 104)
(3,798)
0.02 3,798
109 📈
(Org: 111)
(3,695)
0.05 3,695
110 📉
(Org: 106)
(3,683)
- 3,683
111 📉
(Org: 107)
(3,673)
- 3,673
112 📈
(Org: 185)
(3,670)
0.4 3,670
113 📉
(Org: 108)
(3,655)
0 3,655
114 📈
(Org: 116)
(3,627)
0.06 3,627
115 📈
(Org: 117)
(3,615)
0.07 3,615
116 📉
(Org: 113)
(3,603)
0.03 3,603
117 📉
(Org: 110)
(3,595)
0.01 3,595
118 📈
(Org: 119)
(3,544)
0.1 3,544
119 📉
(Org: 112)
(3,522)
0 3,522
120 📈
(Org: 365)
(3,440)
0.75 3,440
121 📈
(Org: 129)
(3,313)
0.1 3,313
122 📉
(Org: 121)
(3,300)
0.06 3,300
123 📈
(Org: 220)
(3,299)
0.48 3,299
124 📈
(Org: 241)
(3,252)
0.54 3,252
125 📉
(Org: 123)
(3,245)
0.04 3,245
126 📈
(Org: 205)
(3,198)
0.41 3,198
127 📉
(Org: 120)
(3,166)
- 3,166
128 📈
(Org: 139)
(3,083)
0.08 3,083
129 📉
(Org: 124)
(3,075)
0 3,075
130 📉
(Org: 126)
(3,053)
0.01 3,053
131 📉
(Org: 127)
(3,044)
0.01 3,044
132 📉
(Org: 128)
(2,996)
0 2,996
133 📈
(Org: 156)
(2,972)
0.14 2,972
134 📉
(Org: 130)
(2,928)
0 2,928
135 📉
(Org: 131)
(2,916)
0 2,916
136 📉
(Org: 132)
(2,914)
0 2,914
137 📈
(Org: 157)
(2,907)
0.12 2,907
138 📈
(Org: 174)
(2,899)
0.19 2,899
139 📉
(Org: 135)
(2,894)
0 2,894
140 📉
(Org: 136)
(2,886)
- 2,886
141 📉
(Org: 138)
(2,884)
0.01 2,884
142 ➡️
(Org: 142)
(2,827)
0.02 2,827
143 📈
(Org: 144)
(2,817)
0.03 2,817
144 📉
(Org: 140)
(2,799)
- 2,799
145 📈
(Org: 215)
(2,778)
0.37 2,778
146 📉
(Org: 143)
(2,736)
0 2,736
147 📈
(Org: 160)
(2,710)
0.07 2,710
148 📉
(Org: 145)
(2,709)
- 2,709
149 📉
(Org: 146)
(2,675)
- 2,675
150 📉
(Org: 148)
(2,668)
- 2,668
151 📈
(Org: 188)
(2,651)
0.19 2,651
152 📈
(Org: 201)
(2,640)
0.28 2,640
153 📈
(Org: 155)
(2,625)
0.01 2,625
154 📉
(Org: 152)
(2,620)
- 2,620
155 📉
(Org: 153)
(2,612)
0 2,612
156 📉
(Org: 154)
(2,606)
0 2,606
157 📈
(Org: 184)
(2,600)
0.15 2,600
158 📉
(Org: 157)
(2,599)
0.02 2,599
159 📈
(Org: 163)
(2,589)
0.04 2,589
160 📈
(Org: 164)
(2,571)
0.03 2,571
161 📉
(Org: 159)
(2,534)
- 2,534
161 📈
(Org: 173)
(2,534)
0.07 2,534
163 📉
(Org: 161)
(2,531)
0.01 2,531
164 📉
(Org: 162)
(2,511)
- 2,511
165 📈
(Org: 168)
(2,476)
0.02 2,476
166 📈
(Org: 176)
(2,475)
0.06 2,475
167 📉
(Org: 165)
(2,469)
- 2,469
168 📉
(Org: 166)
(2,466)
0.01 2,466
169 📈
(Org: 171)
(2,445)
0.02 2,445
170 📉
(Org: 167)
(2,429)
- 2,429
171 📈
(Org: 182)
(2,425)
0.09 2,425
172 📉
(Org: 170)
(2,424)
0 2,424
173 📉
(Org: 169)
(2,419)
- 2,419
174 📈
(Org: 259)
(2,410)
0.43 2,410
175 📈
(Org: 208)
(2,390)
0.23 2,390
176 📈
(Org: 178)
(2,374)
0.06 2,374
177 📉
(Org: 175)
(2,341)
0 2,341
178 📈
(Org: 207)
(2,312)
0.2 2,312
179 📈
(Org: 199)
(2,307)
0.14 2,307
179 📉
(Org: 177)
(2,307)
- 2,307
181 ➡️
(Org: 181)
(2,278)
0.02 2,278
182 📈
(Org: 239)
(2,270)
0.33 2,270
183 📈
(Org: 186)
(2,258)
0.03 2,258
184 📈
(Org: 243)
(2,257)
0.34 2,257
185 📉
(Org: 180)
(2,255)
0.01 2,255
186 📉
(Org: 179)
(2,241)
- 2,241
187 📈
(Org: 217)
(2,237)
0.24 2,237
188 📈
(Org: 195)
(2,223)
0.07 2,223
189 ➡️
(Org: 189)
(2,215)
0.03 2,215
190 📈
(Org: 214)
(2,201)
0.2 2,201
191 📈
(Org: 234)
(2,200)
0.3 2,200
192 📉
(Org: 190)
(2,199)
0.03 2,199
193 ➡️
(Org: 193)
(2,189)
0.04 2,189
194 📉
(Org: 187)
(2,183)
0 2,183
195 📉
(Org: 194)
(2,128)
0.02 2,128
196 📈
(Org: 216)
(2,105)
0.18 2,105
197 📈
(Org: 249)
(2,058)
0.29 2,058
198 📉
(Org: 196)
(2,052)
- 2,052
199 📉
(Org: 197)
(2,050)
- 2,050
200 📉
(Org: 198)
(2,038)
- 2,038