101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2024 - 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: 92)
(3,805)
0.02 3,805
102 📉
(Org: 90)
(3,785)
- 3,785
103 📈
(Org: 123)
(3,774)
0.23 3,774
104 📉
(Org: 91)
(3,768)
- 3,768
105 📉
(Org: 93)
(3,702)
- 3,702
106 📉
(Org: 97)
(3,605)
- 3,605
107 📉
(Org: 100)
(3,508)
0 3,508
108 📈
(Org: 130)
(3,506)
0.21 3,506
109 📈
(Org: 291)
(3,465)
0.67 3,465
110 📈
(Org: 120)
(3,446)
0.13 3,446
111 📈
(Org: 136)
(3,436)
0.24 3,436
112 📉
(Org: 104)
(3,427)
0.03 3,427
113 📉
(Org: 101)
(3,417)
- 3,417
114 📉
(Org: 107)
(3,391)
0.03 3,391
115 📉
(Org: 105)
(3,360)
0.01 3,360
115 📉
(Org: 103)
(3,360)
0.01 3,360
117 📉
(Org: 102)
(3,343)
0 3,343
118 📉
(Org: 109)
(3,260)
0 3,260
119 📈
(Org: 148)
(3,194)
0.23 3,194
120 📉
(Org: 111)
(3,178)
0.01 3,178
121 📉
(Org: 113)
(3,155)
0.01 3,155
122 📉
(Org: 112)
(3,138)
- 3,138
123 📉
(Org: 119)
(3,109)
0.03 3,109
124 📈
(Org: 251)
(3,101)
0.55 3,101
125 📉
(Org: 115)
(3,093)
- 3,093
126 📉
(Org: 117)
(3,051)
0.01 3,051
127 📉
(Org: 116)
(3,049)
0 3,049
128 📉
(Org: 122)
(2,960)
0 2,960
129 📉
(Org: 121)
(2,958)
- 2,958
130 📉
(Org: 123)
(2,956)
0.02 2,956
131 📈
(Org: 238)
(2,920)
0.49 2,920
132 📉
(Org: 126)
(2,905)
0.01 2,905
133 📈
(Org: 147)
(2,895)
0.15 2,895
134 📈
(Org: 212)
(2,877)
0.42 2,877
135 📉
(Org: 131)
(2,850)
0.03 2,850
136 📈
(Org: 250)
(2,838)
0.5 2,838
137 📉
(Org: 128)
(2,831)
- 2,831
138 📉
(Org: 129)
(2,789)
- 2,789
139 📉
(Org: 133)
(2,775)
0.01 2,775
140 📉
(Org: 134)
(2,768)
0.03 2,768
141 📉
(Org: 132)
(2,756)
- 2,756
142 📈
(Org: 151)
(2,720)
0.13 2,720
143 📉
(Org: 140)
(2,660)
0.03 2,660
144 📈
(Org: 299)
(2,654)
0.58 2,654
145 📉
(Org: 142)
(2,619)
0.03 2,619
146 📉
(Org: 135)
(2,614)
- 2,614
147 📈
(Org: 301)
(2,606)
0.57 2,606
148 📉
(Org: 137)
(2,601)
- 2,601
149 📉
(Org: 139)
(2,592)
0.01 2,592
150 📉
(Org: 141)
(2,580)
0.01 2,580
151 📉
(Org: 143)
(2,559)
0.01 2,559
152 📈
(Org: 239)
(2,554)
0.42 2,554
153 📈
(Org: 154)
(2,548)
0.08 2,548
154 📈
(Org: 215)
(2,529)
0.34 2,529
155 📉
(Org: 145)
(2,506)
- 2,506
156 📈
(Org: 207)
(2,503)
0.32 2,503
157 📈
(Org: 369)
(2,498)
0.65 2,498
157 📈
(Org: 261)
(2,498)
0.47 2,498
159 📉
(Org: 146)
(2,496)
0.01 2,496
160 📈
(Org: 272)
(2,460)
0.49 2,460
161 📉
(Org: 160)
(2,449)
0.08 2,449
162 📈
(Org: 305)
(2,447)
0.55 2,447
163 📉
(Org: 162)
(2,434)
0.09 2,434
164 📈
(Org: 222)
(2,397)
0.33 2,397
165 📈
(Org: 302)
(2,390)
0.54 2,390
166 📉
(Org: 152)
(2,381)
0.01 2,381
167 📉
(Org: 161)
(2,362)
0.06 2,362
168 📈
(Org: 310)
(2,358)
0.54 2,358
169 📈
(Org: 190)
(2,347)
0.18 2,347
170 📉
(Org: 153)
(2,345)
0 2,345
171 📉
(Org: 155)
(2,328)
- 2,328
172 📉
(Org: 156)
(2,311)
0.01 2,311
173 ➡️
(Org: 173)
(2,305)
0.07 2,305
174 📉
(Org: 157)
(2,294)
0.01 2,294
175 📈
(Org: 293)
(2,265)
0.5 2,265
176 📉
(Org: 159)
(2,258)
- 2,258
177 📉
(Org: 176)
(2,247)
0.07 2,247
178 📉
(Org: 170)
(2,232)
0.03 2,232
179 📉
(Org: 168)
(2,227)
0.02 2,227
180 📉
(Org: 166)
(2,221)
0.02 2,221
181 📉
(Org: 175)
(2,217)
0.04 2,217
182 📉
(Org: 164)
(2,210)
- 2,210
183 📉
(Org: 172)
(2,205)
0.02 2,205
184 📉
(Org: 165)
(2,203)
- 2,203
185 📉
(Org: 167)
(2,188)
0 2,188
186 📈
(Org: 235)
(2,181)
0.3 2,181
187 📉
(Org: 177)
(2,179)
0.04 2,179
188 📈
(Org: 269)
(2,173)
0.41 2,173
189 📉
(Org: 187)
(2,160)
0.08 2,160
190 📉
(Org: 174)
(2,153)
0.01 2,153
191 📉
(Org: 183)
(2,117)
0.05 2,117
192 📈
(Org: 353)
(2,114)
0.55 2,114
193 📉
(Org: 177)
(2,100)
0.01 2,100
194 📈
(Org: 236)
(2,095)
0.28 2,095
195 📉
(Org: 180)
(2,078)
0.01 2,078
196 📉
(Org: 179)
(2,075)
0 2,075
197 📉
(Org: 194)
(2,051)
0.11 2,051
198 📉
(Org: 180)
(2,047)
- 2,047
199 📉
(Org: 182)
(2,026)
0 2,026
200 📉
(Org: 186)
(2,007)
0.01 2,007