101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2021 - 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: 96)
(3,883)
0.03 3,883
102 📉
(Org: 93)
(3,842)
- 3,842
103 📈
(Org: 167)
(3,841)
0.4 3,841
103 📈
(Org: 107)
(3,841)
0.06 3,841
105 📈
(Org: 106)
(3,802)
0.04 3,802
106 📉
(Org: 103)
(3,777)
0.03 3,777
107 📉
(Org: 100)
(3,766)
0.01 3,766
108 📉
(Org: 104)
(3,668)
0 3,668
109 📈
(Org: 129)
(3,667)
0.22 3,667
110 📈
(Org: 122)
(3,654)
0.15 3,654
111 📉
(Org: 105)
(3,647)
- 3,647
112 ➡️
(Org: 112)
(3,567)
0.05 3,567
113 📈
(Org: 131)
(3,559)
0.2 3,559
114 📈
(Org: 213)
(3,551)
0.5 3,551
115 📉
(Org: 111)
(3,528)
0.03 3,528
116 📉
(Org: 109)
(3,513)
- 3,513
117 📉
(Org: 110)
(3,503)
- 3,503
118 📈
(Org: 123)
(3,477)
0.13 3,477
119 📈
(Org: 163)
(3,462)
0.31 3,462
120 📈
(Org: 137)
(3,347)
0.18 3,347
121 📈
(Org: 224)
(3,299)
0.48 3,299
122 📈
(Org: 127)
(3,275)
0.11 3,275
123 📉
(Org: 114)
(3,256)
- 3,256
124 📉
(Org: 116)
(3,250)
0.01 3,250
125 📉
(Org: 117)
(3,234)
0.01 3,234
126 📉
(Org: 118)
(3,232)
0.02 3,232
127 📈
(Org: 132)
(3,190)
0.11 3,190
128 📈
(Org: 187)
(3,166)
0.36 3,166
129 📉
(Org: 120)
(3,158)
- 3,158
130 📈
(Org: 136)
(3,156)
0.12 3,156
131 📉
(Org: 125)
(3,155)
0.07 3,155
132 📉
(Org: 121)
(3,149)
- 3,149
133 📉
(Org: 124)
(3,013)
0 3,013
134 📈
(Org: 240)
(2,928)
0.49 2,928
135 📉
(Org: 126)
(2,924)
- 2,924
135 📈
(Org: 238)
(2,924)
0.49 2,924
137 📈
(Org: 144)
(2,904)
0.11 2,904
138 📉
(Org: 128)
(2,888)
0 2,888
139 📈
(Org: 142)
(2,879)
0.06 2,879
140 📉
(Org: 130)
(2,867)
- 2,867
141 ➡️
(Org: 141)
(2,865)
0.05 2,865
142 📉
(Org: 134)
(2,851)
0.02 2,851
143 📈
(Org: 259)
(2,833)
0.52 2,833
144 📉
(Org: 135)
(2,780)
- 2,780
145 📈
(Org: 150)
(2,750)
0.09 2,750
146 📉
(Org: 138)
(2,749)
0.01 2,749
147 📉
(Org: 140)
(2,733)
0 2,733
147 📈
(Org: 263)
(2,733)
0.52 2,733
149 📉
(Org: 139)
(2,731)
- 2,731
150 📉
(Org: 145)
(2,716)
0.05 2,716
151 📈
(Org: 285)
(2,681)
0.55 2,681
152 📉
(Org: 146)
(2,669)
0.03 2,669
153 ➡️
(Org: 153)
(2,611)
0.04 2,611
154 📉
(Org: 149)
(2,559)
0.01 2,559
155 📉
(Org: 147)
(2,549)
- 2,549
156 📉
(Org: 148)
(2,544)
- 2,544
157 📉
(Org: 151)
(2,543)
0.01 2,543
158 📈
(Org: 261)
(2,533)
0.48 2,533
159 📉
(Org: 154)
(2,507)
0.01 2,507
160 📉
(Org: 152)
(2,504)
- 2,504
161 📉
(Org: 154)
(2,494)
0.01 2,494
162 📉
(Org: 157)
(2,486)
0.02 2,486
163 📉
(Org: 160)
(2,484)
0.03 2,484
164 📈
(Org: 235)
(2,479)
0.39 2,479
165 📈
(Org: 224)
(2,478)
0.31 2,478
166 📉
(Org: 156)
(2,444)
- 2,444
167 📉
(Org: 166)
(2,412)
0.03 2,412
168 📈
(Org: 175)
(2,398)
0.08 2,398
169 📈
(Org: 186)
(2,396)
0.15 2,396
170 📉
(Org: 162)
(2,386)
0 2,386
171 📉
(Org: 161)
(2,381)
- 2,381
172 📈
(Org: 176)
(2,379)
0.07 2,379
173 📉
(Org: 164)
(2,359)
- 2,359
174 📈
(Org: 185)
(2,332)
0.12 2,332
175 📈
(Org: 266)
(2,311)
0.43 2,311
176 📉
(Org: 168)
(2,300)
0 2,300
177 📉
(Org: 170)
(2,269)
- 2,269
178 📉
(Org: 171)
(2,256)
0.01 2,256
179 📉
(Org: 172)
(2,236)
0 2,236
180 📉
(Org: 173)
(2,228)
0 2,228
181 📉
(Org: 174)
(2,221)
0 2,221
182 📈
(Org: 184)
(2,215)
0.06 2,215
183 📉
(Org: 181)
(2,213)
0.04 2,213
184 📉
(Org: 177)
(2,205)
0 2,205
185 📉
(Org: 179)
(2,200)
0.02 2,200
186 📉
(Org: 178)
(2,180)
- 2,180
187 📈
(Org: 188)
(2,163)
0.07 2,163
188 📉
(Org: 183)
(2,141)
0.01 2,141
189 📉
(Org: 180)
(2,138)
- 2,138
189 📉
(Org: 182)
(2,138)
0 2,138
191 📈
(Org: 387)
(2,134)
0.61 2,134
192 📈
(Org: 202)
(2,108)
0.09 2,108
193 📈
(Org: 269)
(2,099)
0.39 2,099
194 📈
(Org: 203)
(2,083)
0.09 2,083
195 📈
(Org: 237)
(2,052)
0.27 2,052
196 📈
(Org: 338)
(2,025)
0.53 2,025
197 📉
(Org: 191)
(2,003)
0.01 2,003
198 📉
(Org: 190)
(2,002)
0.01 2,002
199 📉
(Org: 193)
(1,993)
0.02 1,993
200 📈
(Org: 284)
(1,988)
0.39 1,988