101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2012 - 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: 102)
(4,171)
0.09 4,171
102 📉
(Org: 95)
(4,009)
- 4,009
103 ➡️
(Org: 103)
(4,006)
0.06 4,006
104 📉
(Org: 100)
(3,987)
0.04 3,987
104 📉
(Org: 96)
(3,987)
0.01 3,987
106 📈
(Org: 109)
(3,943)
0.1 3,943
107 📉
(Org: 98)
(3,905)
0.01 3,905
108 📉
(Org: 105)
(3,886)
0.05 3,886
109 📉
(Org: 101)
(3,783)
- 3,783
110 📉
(Org: 104)
(3,771)
0.01 3,771
111 📉
(Org: 108)
(3,640)
0.02 3,640
112 📈
(Org: 137)
(3,611)
0.21 3,611
113 📈
(Org: 182)
(3,559)
0.41 3,559
114 📈
(Org: 117)
(3,403)
0.06 3,403
115 📈
(Org: 133)
(3,341)
0.13 3,341
116 📉
(Org: 110)
(3,337)
- 3,337
117 📉
(Org: 115)
(3,314)
0.03 3,314
118 📉
(Org: 113)
(3,245)
0 3,245
119 📉
(Org: 113)
(3,233)
- 3,233
120 📉
(Org: 116)
(3,225)
- 3,225
121 📈
(Org: 215)
(3,186)
0.46 3,186
122 📈
(Org: 125)
(3,148)
0.04 3,148
123 📈
(Org: 387)
(3,141)
0.75 3,141
124 📉
(Org: 119)
(3,134)
0.01 3,134
125 📉
(Org: 118)
(3,133)
0 3,133
126 📈
(Org: 150)
(3,116)
0.13 3,116
127 📉
(Org: 120)
(3,097)
0 3,097
128 📉
(Org: 122)
(3,060)
0 3,060
129 📈
(Org: 241)
(3,043)
0.51 3,043
130 📈
(Org: 138)
(3,033)
0.06 3,033
131 📉
(Org: 123)
(3,028)
- 3,028
132 📉
(Org: 127)
(3,000)
0.01 3,000
133 📉
(Org: 128)
(2,970)
0.01 2,970
134 📉
(Org: 132)
(2,969)
0.02 2,969
135 📉
(Org: 131)
(2,954)
0 2,954
136 📈
(Org: 143)
(2,944)
0.06 2,944
136 📉
(Org: 130)
(2,944)
- 2,944
138 📉
(Org: 134)
(2,884)
0 2,884
139 📉
(Org: 136)
(2,883)
0.01 2,883
140 📈
(Org: 144)
(2,881)
0.04 2,881
141 📉
(Org: 135)
(2,878)
0 2,878
142 📈
(Org: 158)
(2,876)
0.1 2,876
143 📈
(Org: 167)
(2,870)
0.19 2,870
144 📈
(Org: 155)
(2,863)
0.08 2,863
145 📈
(Org: 156)
(2,848)
0.09 2,848
146 📉
(Org: 140)
(2,831)
0 2,831
147 📉
(Org: 142)
(2,813)
- 2,813
148 📈
(Org: 172)
(2,798)
0.19 2,798
149 📉
(Org: 146)
(2,752)
0 2,752
150 📉
(Org: 147)
(2,741)
- 2,741
151 📉
(Org: 148)
(2,729)
- 2,729
152 📈
(Org: 184)
(2,724)
0.24 2,724
153 📉
(Org: 149)
(2,718)
- 2,718
154 📈
(Org: 160)
(2,700)
0.08 2,700
154 📉
(Org: 153)
(2,700)
0.01 2,700
156 📉
(Org: 152)
(2,691)
0 2,691
157 📈
(Org: 176)
(2,634)
0.16 2,634
158 📉
(Org: 157)
(2,597)
- 2,597
159 ➡️
(Org: 159)
(2,582)
0 2,582
160 📈
(Org: 162)
(2,527)
0.02 2,527
161 ➡️
(Org: 161)
(2,493)
0 2,493
162 📈
(Org: 188)
(2,490)
0.19 2,490
163 📈
(Org: 169)
(2,478)
0.07 2,478
164 📉
(Org: 163)
(2,470)
- 2,470
165 📈
(Org: 173)
(2,430)
0.08 2,430
166 📈
(Org: 224)
(2,406)
0.34 2,406
167 📈
(Org: 217)
(2,393)
0.3 2,393
168 📉
(Org: 165)
(2,392)
0.02 2,392
169 📈
(Org: 171)
(2,375)
0.04 2,375
170 📉
(Org: 166)
(2,373)
0.02 2,373
171 📈
(Org: 177)
(2,333)
0.06 2,333
172 📉
(Org: 168)
(2,317)
0 2,317
173 📉
(Org: 170)
(2,285)
- 2,285
174 📈
(Org: 196)
(2,253)
0.14 2,253
175 📈
(Org: 223)
(2,251)
0.28 2,251
176 📉
(Org: 175)
(2,238)
0.01 2,238
177 📈
(Org: 186)
(2,185)
0.07 2,185
178 ➡️
(Org: 178)
(2,181)
- 2,181
179 ➡️
(Org: 179)
(2,171)
- 2,171
180 📈
(Org: 191)
(2,148)
0.09 2,148
181 📈
(Org: 183)
(2,145)
0.03 2,145
182 📈
(Org: 245)
(2,142)
0.31 2,142
183 📈
(Org: 222)
(2,131)
0.24 2,131
184 📉
(Org: 181)
(2,125)
- 2,125
185 📈
(Org: 189)
(2,111)
0.07 2,111
186 📈
(Org: 256)
(2,080)
0.31 2,080
187 📈
(Org: 240)
(2,066)
0.27 2,066
188 📉
(Org: 185)
(2,043)
- 2,043
189 📈
(Org: 292)
(2,028)
0.41 2,028
190 📉
(Org: 187)
(2,019)
- 2,019
191 📈
(Org: 196)
(1,997)
0.03 1,997
192 📈
(Org: 201)
(1,974)
0.03 1,974
193 📉
(Org: 192)
(1,964)
0.01 1,964
194 📉
(Org: 190)
(1,957)
- 1,957
195 📈
(Org: 213)
(1,955)
0.11 1,955
196 📉
(Org: 194)
(1,951)
0 1,951
197 📉
(Org: 193)
(1,947)
- 1,947
198 📈
(Org: 203)
(1,946)
0.03 1,946
199 📉
(Org: 195)
(1,941)
- 1,941
200 📉
(Org: 199)
(1,921)
- 1,921