101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2022 - 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: 97)
(3,883)
0.06 3,883
102 📉
(Org: 93)
(3,875)
- 3,875
103 📉
(Org: 94)
(3,858)
- 3,858
104 📈
(Org: 278)
(3,843)
0.68 3,843
105 📈
(Org: 113)
(3,775)
0.11 3,775
106 📉
(Org: 96)
(3,761)
- 3,761
107 ➡️
(Org: 107)
(3,692)
0.06 3,692
108 📉
(Org: 99)
(3,655)
0.01 3,655
109 📉
(Org: 100)
(3,633)
0 3,633
110 📉
(Org: 101)
(3,597)
- 3,597
111 📈
(Org: 125)
(3,574)
0.17 3,574
112 📈
(Org: 196)
(3,572)
0.46 3,572
113 📈
(Org: 120)
(3,553)
0.12 3,553
114 📉
(Org: 104)
(3,509)
- 3,509
115 📉
(Org: 105)
(3,494)
- 3,494
116 📉
(Org: 114)
(3,481)
0.04 3,481
117 📉
(Org: 111)
(3,466)
0.03 3,466
118 📉
(Org: 115)
(3,444)
0.04 3,444
119 📉
(Org: 116)
(3,436)
0.03 3,436
120 📈
(Org: 146)
(3,422)
0.24 3,422
121 📉
(Org: 109)
(3,418)
- 3,418
122 📈
(Org: 229)
(3,331)
0.53 3,331
123 📈
(Org: 167)
(3,315)
0.33 3,315
124 📈
(Org: 137)
(3,226)
0.16 3,226
125 📈
(Org: 149)
(3,201)
0.19 3,201
126 📉
(Org: 121)
(3,090)
- 3,090
127 📈
(Org: 128)
(3,070)
0.05 3,070
128 📈
(Org: 143)
(3,043)
0.14 3,043
129 📉
(Org: 123)
(2,999)
0.01 2,999
130 📈
(Org: 200)
(2,987)
0.36 2,987
131 📉
(Org: 122)
(2,981)
- 2,981
132 📉
(Org: 124)
(2,968)
- 2,968
133 📉
(Org: 132)
(2,951)
0.02 2,951
134 📉
(Org: 128)
(2,936)
0.01 2,936
135 📉
(Org: 127)
(2,925)
0 2,925
136 📈
(Org: 237)
(2,923)
0.5 2,923
137 📉
(Org: 126)
(2,921)
- 2,921
138 📉
(Org: 130)
(2,915)
- 2,915
139 📉
(Org: 131)
(2,911)
- 2,911
140 📉
(Org: 136)
(2,906)
0.07 2,906
141 📈
(Org: 144)
(2,905)
0.1 2,905
142 📈
(Org: 250)
(2,904)
0.51 2,904
143 📉
(Org: 133)
(2,881)
0.01 2,881
144 📉
(Org: 134)
(2,839)
0 2,839
145 📈
(Org: 244)
(2,783)
0.48 2,783
146 📉
(Org: 135)
(2,770)
0.01 2,770
147 📈
(Org: 258)
(2,755)
0.51 2,755
148 ➡️
(Org: 148)
(2,725)
0.05 2,725
148 📉
(Org: 140)
(2,725)
0.01 2,725
150 📉
(Org: 139)
(2,700)
0 2,700
151 📈
(Org: 289)
(2,696)
0.56 2,696
152 📉
(Org: 142)
(2,689)
0.02 2,689
153 📉
(Org: 141)
(2,676)
- 2,676
154 📉
(Org: 145)
(2,617)
0 2,617
155 📉
(Org: 147)
(2,593)
- 2,593
156 📉
(Org: 151)
(2,520)
0.01 2,520
157 📉
(Org: 153)
(2,509)
0.01 2,509
158 📈
(Org: 165)
(2,508)
0.1 2,508
159 📈
(Org: 253)
(2,504)
0.46 2,504
160 📈
(Org: 162)
(2,493)
0.08 2,493
161 📈
(Org: 261)
(2,492)
0.46 2,492
162 📉
(Org: 152)
(2,491)
- 2,491
163 📉
(Org: 157)
(2,472)
0.03 2,472
164 📉
(Org: 156)
(2,460)
0.03 2,460
165 📈
(Org: 172)
(2,403)
0.09 2,403
166 📉
(Org: 155)
(2,400)
- 2,400
167 📈
(Org: 227)
(2,398)
0.33 2,398
168 📉
(Org: 158)
(2,378)
0 2,378
169 📉
(Org: 159)
(2,377)
0.01 2,377
170 📉
(Org: 160)
(2,343)
0.02 2,343
171 📉
(Org: 164)
(2,340)
0.03 2,340
172 📈
(Org: 292)
(2,335)
0.5 2,335
173 📉
(Org: 163)
(2,296)
0.01 2,296
174 📈
(Org: 256)
(2,280)
0.41 2,280
175 📈
(Org: 177)
(2,273)
0.06 2,273
175 ➡️
(Org: 175)
(2,273)
0.05 2,273
177 📈
(Org: 178)
(2,266)
0.07 2,266
178 📉
(Org: 166)
(2,258)
- 2,258
179 📉
(Org: 170)
(2,251)
0.02 2,251
180 📉
(Org: 174)
(2,243)
0.03 2,243
181 📉
(Org: 169)
(2,235)
0.01 2,235
182 📈
(Org: 372)
(2,223)
0.61 2,223
183 📈
(Org: 192)
(2,204)
0.1 2,204
184 📉
(Org: 173)
(2,188)
0 2,188
185 📈
(Org: 232)
(2,176)
0.3 2,176
186 📉
(Org: 176)
(2,153)
0 2,153
187 📈
(Org: 188)
(2,147)
0.06 2,147
188 📉
(Org: 182)
(2,113)
0.02 2,113
188 📉
(Org: 179)
(2,113)
0 2,113
190 📉
(Org: 181)
(2,108)
0.01 2,108
191 📈
(Org: 207)
(2,105)
0.15 2,105
192 📉
(Org: 180)
(2,094)
- 2,094
193 📈
(Org: 203)
(2,066)
0.11 2,066
194 📉
(Org: 184)
(2,064)
0.01 2,064
195 📉
(Org: 185)
(2,040)
- 2,040
196 📉
(Org: 187)
(2,031)
0.01 2,031
197 📉
(Org: 190)
(2,026)
0.01 2,026
197 📈
(Org: 201)
(2,026)
0.07 2,026
199 📉
(Org: 189)
(2,014)
0 2,014
200 📉
(Org: 199)
(2,012)
0.06 2,012