101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2010 - 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: 100)
(4,407)
0.14 4,407
102 📈
(Org: 166)
(4,336)
0.46 4,336
103 📉
(Org: 94)
(4,309)
- 4,309
104 📈
(Org: 146)
(4,305)
0.38 4,305
105 📈
(Org: 137)
(4,226)
0.32 4,226
106 📉
(Org: 105)
(4,159)
0.12 4,159
107 📉
(Org: 98)
(4,064)
0.05 4,064
108 ➡️
(Org: 108)
(3,804)
0.06 3,804
109 📈
(Org: 124)
(3,794)
0.14 3,794
110 📈
(Org: 170)
(3,776)
0.39 3,776
111 📈
(Org: 112)
(3,723)
0.07 3,723
112 📉
(Org: 103)
(3,717)
0 3,717
113 📉
(Org: 104)
(3,707)
0 3,707
114 📉
(Org: 107)
(3,626)
0.01 3,626
115 📈
(Org: 148)
(3,623)
0.27 3,623
116 📉
(Org: 109)
(3,585)
0.02 3,585
117 📉
(Org: 110)
(3,555)
0.01 3,555
118 📉
(Org: 115)
(3,478)
0.01 3,478
119 📉
(Org: 113)
(3,477)
0.01 3,477
120 📉
(Org: 114)
(3,453)
- 3,453
121 📉
(Org: 117)
(3,434)
- 3,434
122 📈
(Org: 126)
(3,265)
0.01 3,265
123 📈
(Org: 126)
(3,241)
0 3,241
124 📈
(Org: 125)
(3,238)
- 3,238
125 📈
(Org: 128)
(3,180)
- 3,180
126 📈
(Org: 129)
(3,154)
0 3,154
127 📈
(Org: 132)
(3,149)
0.03 3,149
128 📈
(Org: 130)
(3,131)
- 3,131
129 📈
(Org: 131)
(3,107)
- 3,107
130 📈
(Org: 152)
(3,103)
0.17 3,103
131 📈
(Org: 140)
(3,080)
0.08 3,080
132 📈
(Org: 135)
(3,075)
0.04 3,075
133 📈
(Org: 142)
(3,058)
0.08 3,058
134 📉
(Org: 133)
(3,040)
0.01 3,040
135 📉
(Org: 134)
(3,021)
0 3,021
136 📈
(Org: 157)
(2,986)
0.18 2,986
137 📈
(Org: 161)
(2,971)
0.19 2,971
138 ➡️
(Org: 138)
(2,922)
0.02 2,922
139 📉
(Org: 136)
(2,905)
- 2,905
140 📈
(Org: 141)
(2,902)
0.03 2,902
141 📉
(Org: 139)
(2,899)
0.02 2,899
142 📈
(Org: 161)
(2,869)
0.16 2,869
143 📈
(Org: 182)
(2,832)
0.27 2,832
144 📈
(Org: 147)
(2,795)
0.05 2,795
145 📉
(Org: 143)
(2,790)
0.01 2,790
146 📉
(Org: 144)
(2,776)
0 2,776
147 📉
(Org: 145)
(2,741)
0.01 2,741
148 📈
(Org: 150)
(2,616)
- 2,616
149 📈
(Org: 159)
(2,612)
0.07 2,612
150 📈
(Org: 153)
(2,605)
0.02 2,605
151 📈
(Org: 203)
(2,573)
0.3 2,573
152 📈
(Org: 154)
(2,545)
- 2,545
153 📈
(Org: 155)
(2,537)
- 2,537
154 📈
(Org: 156)
(2,522)
0 2,522
155 📈
(Org: 253)
(2,473)
0.45 2,473
156 📈
(Org: 160)
(2,435)
0 2,435
157 📈
(Org: 167)
(2,428)
0.04 2,428
158 📈
(Org: 170)
(2,419)
0.05 2,419
159 📈
(Org: 165)
(2,411)
0.02 2,411
160 📈
(Org: 164)
(2,383)
- 2,383
161 📈
(Org: 301)
(2,354)
0.54 2,354
162 📈
(Org: 480)
(2,328)
0.77 2,328
163 📈
(Org: 180)
(2,312)
0.09 2,312
164 📈
(Org: 168)
(2,301)
- 2,301
164 📈
(Org: 222)
(2,301)
0.29 2,301
166 📈
(Org: 169)
(2,296)
- 2,296
167 📈
(Org: 246)
(2,271)
0.37 2,271
168 📈
(Org: 221)
(2,249)
0.28 2,249
169 📈
(Org: 188)
(2,229)
0.12 2,229
170 📈
(Org: 173)
(2,220)
- 2,220
171 📈
(Org: 185)
(2,184)
0.09 2,184
172 📈
(Org: 175)
(2,173)
0 2,173
173 📈
(Org: 176)
(2,136)
- 2,136
174 📈
(Org: 194)
(2,132)
0.1 2,132
175 📈
(Org: 177)
(2,129)
- 2,129
176 📈
(Org: 178)
(2,126)
- 2,126
177 📈
(Org: 179)
(2,117)
0.01 2,117
178 📈
(Org: 239)
(2,113)
0.31 2,113
179 📈
(Org: 181)
(2,089)
- 2,089
180 📈
(Org: 183)
(2,057)
- 2,057
181 📈
(Org: 187)
(2,046)
0.04 2,046
182 📈
(Org: 197)
(2,043)
0.08 2,043
183 📈
(Org: 205)
(2,019)
0.13 2,019
184 ➡️
(Org: 184)
(2,016)
0.01 2,016
185 📈
(Org: 186)
(1,992)
- 1,992
186 📈
(Org: 191)
(1,958)
0.01 1,958
186 📈
(Org: 189)
(1,958)
0 1,958
188 📈
(Org: 190)
(1,957)
0 1,957
189 📈
(Org: 193)
(1,942)
0 1,942
190 📈
(Org: 196)
(1,923)
0.02 1,923
191 📈
(Org: 199)
(1,916)
0.02 1,916
192 📈
(Org: 262)
(1,913)
0.31 1,913
193 📈
(Org: 195)
(1,912)
0.01 1,912
194 📈
(Org: 291)
(1,909)
0.4 1,909
195 📈
(Org: 197)
(1,901)
0.01 1,901
196 📈
(Org: 202)
(1,846)
0.01 1,846
197 📈
(Org: 217)
(1,816)
0.09 1,816
198 📈
(Org: 215)
(1,805)
0.08 1,805
199 📈
(Org: 229)
(1,803)
0.15 1,803
200 📈
(Org: 220)
(1,802)
0.1 1,802