101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2008 - 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: 130)
(4,535)
0.29 4,535
102 📉
(Org: 101)
(4,484)
0.01 4,484
103 📉
(Org: 102)
(4,395)
0 4,395
104 📉
(Org: 103)
(4,321)
- 4,321
105 📈
(Org: 109)
(4,288)
0.07 4,288
106 📈
(Org: 159)
(4,242)
0.41 4,242
107 📈
(Org: 123)
(4,185)
0.16 4,185
108 📉
(Org: 105)
(4,177)
0 4,177
109 📈
(Org: 190)
(4,126)
0.49 4,126
110 📉
(Org: 107)
(4,106)
0 4,106
111 📉
(Org: 108)
(4,060)
- 4,060
112 📈
(Org: 117)
(4,000)
0.08 4,000
113 ➡️
(Org: 113)
(3,840)
0.03 3,840
114 📉
(Org: 111)
(3,814)
0 3,814
115 📉
(Org: 112)
(3,781)
- 3,781
116 📈
(Org: 121)
(3,765)
0.06 3,765
117 📉
(Org: 116)
(3,729)
0.01 3,729
118 📈
(Org: 167)
(3,669)
0.36 3,669
119 📈
(Org: 120)
(3,658)
0.03 3,658
120 📉
(Org: 119)
(3,642)
0.02 3,642
121 📉
(Org: 118)
(3,619)
0 3,619
122 📈
(Org: 150)
(3,575)
0.24 3,575
123 📈
(Org: 126)
(3,560)
0.05 3,560
124 📈
(Org: 139)
(3,536)
0.18 3,536
125 📉
(Org: 122)
(3,517)
- 3,517
126 📉
(Org: 124)
(3,461)
- 3,461
127 📈
(Org: 180)
(3,458)
0.37 3,458
128 📈
(Org: 146)
(3,443)
0.17 3,443
129 📉
(Org: 125)
(3,392)
- 3,392
130 📉
(Org: 129)
(3,374)
0.03 3,374
131 📉
(Org: 127)
(3,350)
0 3,350
132 📉
(Org: 128)
(3,283)
- 3,283
133 📈
(Org: 185)
(3,257)
0.34 3,257
134 📈
(Org: 188)
(3,189)
0.34 3,189
135 📉
(Org: 131)
(3,150)
- 3,150
136 📉
(Org: 132)
(3,119)
0 3,119
137 📉
(Org: 134)
(3,092)
0.01 3,092
138 📉
(Org: 135)
(3,033)
0 3,033
139 📉
(Org: 136)
(2,995)
0 2,995
140 📉
(Org: 137)
(2,981)
0 2,981
141 📉
(Org: 138)
(2,977)
0.01 2,977
142 📈
(Org: 160)
(2,971)
0.17 2,971
143 📈
(Org: 178)
(2,942)
0.24 2,942
144 📈
(Org: 147)
(2,939)
0.04 2,939
145 ➡️
(Org: 145)
(2,934)
0.02 2,934
146 📉
(Org: 140)
(2,906)
- 2,906
147 📉
(Org: 142)
(2,871)
- 2,871
147 📉
(Org: 144)
(2,871)
0 2,871
149 📉
(Org: 143)
(2,866)
- 2,866
150 📉
(Org: 148)
(2,794)
- 2,794
151 📉
(Org: 149)
(2,793)
0.01 2,793
152 📈
(Org: 161)
(2,784)
0.12 2,784
153 📈
(Org: 198)
(2,751)
0.27 2,751
154 📈
(Org: 223)
(2,664)
0.37 2,664
155 ➡️
(Org: 155)
(2,592)
0.02 2,592
156 📈
(Org: 157)
(2,583)
0.02 2,583
157 📉
(Org: 154)
(2,559)
0 2,559
158 ➡️
(Org: 158)
(2,508)
- 2,508
159 📈
(Org: 174)
(2,489)
0.07 2,489
160 📈
(Org: 163)
(2,419)
- 2,419
161 📈
(Org: 268)
(2,415)
0.46 2,415
162 📈
(Org: 166)
(2,390)
0.01 2,390
163 📈
(Org: 164)
(2,383)
- 2,383
163 📈
(Org: 169)
(2,383)
0.02 2,383
165 ➡️
(Org: 165)
(2,374)
0 2,374
166 📈
(Org: 169)
(2,369)
0.01 2,369
167 📈
(Org: 168)
(2,353)
0 2,353
168 📈
(Org: 171)
(2,340)
- 2,340
169 📈
(Org: 186)
(2,310)
0.07 2,310
170 📈
(Org: 175)
(2,303)
0.02 2,303
171 📈
(Org: 176)
(2,286)
0.02 2,286
172 📈
(Org: 177)
(2,237)
0 2,237
173 📈
(Org: 193)
(2,222)
0.07 2,222
174 📈
(Org: 183)
(2,197)
0.01 2,197
175 📈
(Org: 181)
(2,186)
- 2,186
175 📈
(Org: 182)
(2,186)
0 2,186
177 📈
(Org: 184)
(2,173)
0 2,173
178 📈
(Org: 287)
(2,170)
0.45 2,170
179 📈
(Org: 235)
(2,162)
0.27 2,162
180 📈
(Org: 201)
(2,160)
0.1 2,160
181 📈
(Org: 187)
(2,150)
0 2,150
182 📈
(Org: 197)
(2,134)
0.04 2,134
183 📈
(Org: 191)
(2,113)
0.01 2,113
184 📈
(Org: 210)
(2,073)
0.12 2,073
185 📈
(Org: 203)
(2,069)
0.06 2,069
186 📈
(Org: 304)
(2,065)
0.47 2,065
187 📈
(Org: 195)
(2,064)
- 2,064
188 📈
(Org: 196)
(2,055)
- 2,055
189 📈
(Org: 202)
(2,033)
0.05 2,033
190 📈
(Org: 203)
(2,021)
0.04 2,021
191 📈
(Org: 214)
(1,993)
0.1 1,993
192 📈
(Org: 328)
(1,992)
0.5 1,992
193 📈
(Org: 253)
(1,981)
0.3 1,981
194 📈
(Org: 239)
(1,976)
0.22 1,976
195 📈
(Org: 206)
(1,972)
0.03 1,972
196 📈
(Org: 264)
(1,934)
0.32 1,934
197 📈
(Org: 205)
(1,933)
- 1,933
198 📈
(Org: 249)
(1,894)
0.26 1,894
199 📈
(Org: 207)
(1,887)
- 1,887
200 📈
(Org: 209)
(1,872)
0.01 1,872