101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2000 - 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: 94)
(4,176)
0.01 4,176
102 📉
(Org: 98)
(4,128)
0.02 4,128
103 📉
(Org: 96)
(4,107)
0 4,107
104 📉
(Org: 97)
(4,053)
- 4,053
105 📉
(Org: 99)
(3,797)
- 3,797
106 📉
(Org: 100)
(3,795)
- 3,795
107 📈
(Org: 109)
(3,733)
0.08 3,733
108 📉
(Org: 105)
(3,702)
0.05 3,702
109 📉
(Org: 101)
(3,657)
- 3,657
110 📉
(Org: 102)
(3,643)
- 3,643
111 📉
(Org: 103)
(3,640)
- 3,640
112 📈
(Org: 183)
(3,631)
0.45 3,631
113 📈
(Org: 116)
(3,546)
0.08 3,546
114 📉
(Org: 107)
(3,520)
0.01 3,520
115 📈
(Org: 119)
(3,496)
0.07 3,496
116 📉
(Org: 108)
(3,485)
- 3,485
117 📉
(Org: 110)
(3,440)
0.01 3,440
118 📉
(Org: 112)
(3,410)
0.01 3,410
119 📉
(Org: 113)
(3,376)
0 3,376
120 📈
(Org: 129)
(3,327)
0.09 3,327
121 📉
(Org: 120)
(3,298)
0.02 3,298
122 📉
(Org: 114)
(3,296)
- 3,296
123 📉
(Org: 115)
(3,294)
0 3,294
124 📈
(Org: 160)
(3,283)
0.26 3,283
125 📈
(Org: 131)
(3,248)
0.07 3,248
126 📉
(Org: 122)
(3,217)
0.01 3,217
127 📈
(Org: 132)
(3,214)
0.07 3,214
128 📈
(Org: 198)
(3,201)
0.45 3,201
129 📉
(Org: 123)
(3,174)
- 3,174
130 📉
(Org: 124)
(3,161)
- 3,161
130 📉
(Org: 125)
(3,161)
0 3,161
132 📉
(Org: 126)
(3,148)
0.01 3,148
133 📈
(Org: 240)
(3,128)
0.55 3,128
134 📉
(Org: 127)
(3,099)
- 3,099
135 📉
(Org: 133)
(3,082)
0.04 3,082
136 📉
(Org: 130)
(3,078)
0.01 3,078
137 📈
(Org: 205)
(3,052)
0.44 3,052
138 📉
(Org: 136)
(2,976)
0.04 2,976
139 📉
(Org: 134)
(2,938)
0.01 2,938
140 📉
(Org: 139)
(2,920)
0.03 2,920
141 📉
(Org: 138)
(2,883)
0.02 2,883
142 📉
(Org: 140)
(2,788)
0 2,788
143 📈
(Org: 144)
(2,760)
0.02 2,760
144 📉
(Org: 141)
(2,743)
- 2,743
145 📈
(Org: 148)
(2,730)
0.04 2,730
146 📉
(Org: 144)
(2,715)
- 2,715
147 📉
(Org: 146)
(2,702)
0.01 2,702
148 📉
(Org: 147)
(2,698)
0 2,698
149 📈
(Org: 238)
(2,665)
0.46 2,665
150 📈
(Org: 163)
(2,657)
0.1 2,657
151 ➡️
(Org: 151)
(2,653)
0.03 2,653
152 ➡️
(Org: 152)
(2,607)
0.02 2,607
153 📉
(Org: 150)
(2,602)
- 2,602
154 📈
(Org: 166)
(2,598)
0.1 2,598
155 📉
(Org: 153)
(2,531)
- 2,531
156 📉
(Org: 155)
(2,500)
0 2,500
157 📈
(Org: 158)
(2,485)
0.01 2,485
158 📉
(Org: 156)
(2,479)
- 2,479
159 📈
(Org: 164)
(2,439)
0.03 2,439
160 📉
(Org: 159)
(2,426)
- 2,426
161 ➡️
(Org: 161)
(2,415)
- 2,415
162 ➡️
(Org: 162)
(2,414)
0 2,414
163 📈
(Org: 230)
(2,406)
0.39 2,406
164 ➡️
(Org: 164)
(2,355)
- 2,355
165 📈
(Org: 257)
(2,349)
0.44 2,349
166 📈
(Org: 171)
(2,345)
0.06 2,345
167 📈
(Org: 168)
(2,339)
0.01 2,339
168 📉
(Org: 167)
(2,333)
- 2,333
169 📈
(Org: 170)
(2,274)
0.01 2,274
170 📈
(Org: 216)
(2,259)
0.27 2,259
171 📈
(Org: 176)
(2,231)
0.07 2,231
172 ➡️
(Org: 172)
(2,220)
0.01 2,220
173 📈
(Org: 243)
(2,187)
0.36 2,187
174 📈
(Org: 193)
(2,181)
0.16 2,181
175 📉
(Org: 174)
(2,167)
0.02 2,167
176 📉
(Org: 173)
(2,161)
- 2,161
177 📉
(Org: 175)
(2,157)
0.02 2,157
178 📈
(Org: 181)
(2,110)
0.04 2,110
179 📈
(Org: 186)
(2,095)
0.06 2,095
180 📉
(Org: 178)
(2,085)
0.01 2,085
181 📉
(Org: 177)
(2,072)
- 2,072
182 📉
(Org: 178)
(2,063)
- 2,063
183 📈
(Org: 200)
(2,046)
0.14 2,046
184 📉
(Org: 180)
(2,040)
0.01 2,040
185 📉
(Org: 181)
(2,026)
- 2,026
186 📈
(Org: 234)
(2,024)
0.28 2,024
187 📉
(Org: 184)
(1,994)
0.01 1,994
188 📉
(Org: 185)
(1,979)
- 1,979
189 📈
(Org: 206)
(1,976)
0.13 1,976
190 📉
(Org: 187)
(1,961)
0 1,961
191 📈
(Org: 206)
(1,951)
0.12 1,951
192 📉
(Org: 188)
(1,948)
- 1,948
193 📈
(Org: 202)
(1,929)
0.09 1,929
194 📈
(Org: 220)
(1,915)
0.18 1,915
195 📉
(Org: 189)
(1,914)
0.02 1,914
196 ➡️
(Org: 196)
(1,865)
0.03 1,865
197 📈
(Org: 215)
(1,849)
0.11 1,849
198 📉
(Org: 192)
(1,844)
0.01 1,844
199 📈
(Org: 213)
(1,823)
0.08 1,823
200 📈
(Org: 230)
(1,817)
0.19 1,817