101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2011 - 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: 91)
(4,182)
- 4,182
102 📉
(Org: 92)
(4,175)
0 4,175
103 📉
(Org: 92)
(4,168)
- 4,168
104 📉
(Org: 96)
(4,165)
0.05 4,165
105 📉
(Org: 95)
(4,089)
0.01 4,089
106 📉
(Org: 102)
(4,025)
0.06 4,025
107 📈
(Org: 111)
(3,965)
0.13 3,965
108 ➡️
(Org: 108)
(3,868)
0.04 3,868
109 📉
(Org: 101)
(3,853)
0.01 3,853
110 📉
(Org: 99)
(3,829)
0 3,829
111 📉
(Org: 103)
(3,805)
0.01 3,805
112 📉
(Org: 107)
(3,721)
- 3,721
113 📈
(Org: 181)
(3,697)
0.42 3,697
114 ➡️
(Org: 114)
(3,579)
0.06 3,579
115 📉
(Org: 109)
(3,548)
- 3,548
116 📉
(Org: 113)
(3,485)
0.02 3,485
117 📉
(Org: 112)
(3,476)
0.01 3,476
118 📈
(Org: 140)
(3,406)
0.13 3,406
119 📈
(Org: 120)
(3,334)
0.02 3,334
120 📉
(Org: 118)
(3,332)
0 3,332
121 📉
(Org: 117)
(3,323)
- 3,323
122 📈
(Org: 123)
(3,238)
0 3,238
123 📈
(Org: 126)
(3,179)
0 3,179
124 📈
(Org: 127)
(3,170)
0 3,170
125 📈
(Org: 132)
(3,155)
0.03 3,155
126 📈
(Org: 129)
(3,136)
0.01 3,136
127 📈
(Org: 128)
(3,124)
0 3,124
128 📈
(Org: 136)
(3,111)
0.02 3,111
129 📈
(Org: 130)
(3,098)
0 3,098
130 📈
(Org: 166)
(3,084)
0.25 3,084
131 📈
(Org: 139)
(3,082)
0.03 3,082
132 📈
(Org: 133)
(3,075)
0.01 3,075
133 📉
(Org: 131)
(3,070)
- 3,070
134 📈
(Org: 135)
(3,062)
0.01 3,062
135 📈
(Org: 205)
(3,041)
0.43 3,041
136 ➡️
(Org: 136)
(3,036)
- 3,036
137 📈
(Org: 154)
(3,034)
0.17 3,034
138 📈
(Org: 171)
(3,001)
0.27 3,001
139 📈
(Org: 142)
(2,893)
- 2,893
140 📈
(Org: 143)
(2,881)
0 2,881
141 📈
(Org: 159)
(2,880)
0.16 2,880
141 📈
(Org: 143)
(2,880)
0 2,880
143 📈
(Org: 163)
(2,858)
0.18 2,858
144 📈
(Org: 145)
(2,814)
- 2,814
145 📈
(Org: 189)
(2,800)
0.28 2,800
146 📈
(Org: 152)
(2,795)
0.1 2,795
147 📉
(Org: 146)
(2,766)
- 2,766
148 📉
(Org: 147)
(2,728)
0.02 2,728
149 📈
(Org: 173)
(2,693)
0.19 2,693
150 📉
(Org: 148)
(2,671)
- 2,671
151 📈
(Org: 157)
(2,655)
0.07 2,655
152 📈
(Org: 416)
(2,651)
0.74 2,651
153 📉
(Org: 149)
(2,648)
0 2,648
154 📈
(Org: 156)
(2,647)
0.06 2,647
155 📈
(Org: 160)
(2,646)
0.09 2,646
156 📉
(Org: 153)
(2,642)
0.05 2,642
157 📈
(Org: 272)
(2,608)
0.51 2,608
158 📉
(Org: 151)
(2,541)
- 2,541
159 📈
(Org: 162)
(2,500)
0.05 2,500
160 📈
(Org: 206)
(2,486)
0.31 2,486
161 📉
(Org: 155)
(2,478)
- 2,478
162 📉
(Org: 157)
(2,466)
- 2,466
163 📈
(Org: 165)
(2,344)
0.01 2,344
164 ➡️
(Org: 164)
(2,342)
- 2,342
165 📈
(Org: 183)
(2,323)
0.09 2,323
166 📈
(Org: 220)
(2,322)
0.31 2,322
167 📈
(Org: 178)
(2,316)
0.07 2,316
168 📈
(Org: 176)
(2,280)
0.05 2,280
169 📉
(Org: 167)
(2,255)
0 2,255
170 📈
(Org: 180)
(2,251)
0.04 2,251
171 📉
(Org: 170)
(2,231)
0.01 2,231
172 📉
(Org: 169)
(2,229)
0 2,229
173 📈
(Org: 207)
(2,220)
0.23 2,220
174 📈
(Org: 179)
(2,209)
0.02 2,209
175 📉
(Org: 172)
(2,179)
- 2,179
176 📈
(Org: 191)
(2,173)
0.11 2,173
177 ➡️
(Org: 177)
(2,160)
- 2,160
178 📈
(Org: 182)
(2,139)
- 2,139
179 📈
(Org: 192)
(2,128)
0.09 2,128
180 📈
(Org: 253)
(2,126)
0.36 2,126
181 📈
(Org: 202)
(2,095)
0.15 2,095
182 📈
(Org: 184)
(2,094)
- 2,094
183 📈
(Org: 185)
(2,082)
- 2,082
184 📈
(Org: 186)
(2,077)
- 2,077
185 📈
(Org: 188)
(2,043)
- 2,043
186 📈
(Org: 246)
(2,038)
0.29 2,038
187 📈
(Org: 195)
(1,947)
0.04 1,947
188 📈
(Org: 190)
(1,943)
- 1,943
189 📈
(Org: 297)
(1,932)
0.42 1,932
190 📈
(Org: 270)
(1,927)
0.33 1,927
191 📈
(Org: 193)
(1,892)
0 1,892
192 📈
(Org: 194)
(1,884)
- 1,884
193 📈
(Org: 208)
(1,853)
0.08 1,853
194 📈
(Org: 260)
(1,849)
0.28 1,849
195 📈
(Org: 197)
(1,848)
0.01 1,848
196 ➡️
(Org: 196)
(1,840)
- 1,840
197 📈
(Org: 203)
(1,832)
0.04 1,832
198 📈
(Org: 199)
(1,830)
- 1,830
199 📈
(Org: 204)
(1,812)
0.03 1,812
200 📈
(Org: 289)
(1,811)
0.33 1,811