101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2019 - 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)
(4,132)
- 4,132
102 📉
(Org: 99)
(4,129)
0.09 4,129
103 📈
(Org: 144)
(4,055)
0.35 4,055
104 📉
(Org: 96)
(4,025)
0.02 4,025
105 📉
(Org: 98)
(3,911)
0 3,911
106 📈
(Org: 107)
(3,744)
0.05 3,744
107 📈
(Org: 110)
(3,726)
0.06 3,726
108 📈
(Org: 119)
(3,702)
0.14 3,702
109 📉
(Org: 105)
(3,701)
0.04 3,701
110 📈
(Org: 160)
(3,660)
0.33 3,660
111 📉
(Org: 104)
(3,652)
0.02 3,652
112 📈
(Org: 169)
(3,632)
0.36 3,632
113 📈
(Org: 132)
(3,604)
0.19 3,604
114 📉
(Org: 108)
(3,597)
0.02 3,597
115 📉
(Org: 106)
(3,558)
- 3,558
116 📉
(Org: 109)
(3,523)
0 3,523
117 📉
(Org: 113)
(3,513)
0.02 3,513
118 📉
(Org: 117)
(3,483)
0.06 3,483
119 📉
(Org: 111)
(3,462)
0 3,462
120 📉
(Org: 116)
(3,438)
0.03 3,438
121 📈
(Org: 123)
(3,433)
0.1 3,433
122 📈
(Org: 124)
(3,407)
0.1 3,407
123 📉
(Org: 121)
(3,405)
0.07 3,405
124 📉
(Org: 115)
(3,362)
0.01 3,362
125 📈
(Org: 131)
(3,358)
0.12 3,358
126 📈
(Org: 130)
(3,322)
0.1 3,322
127 📈
(Org: 228)
(3,272)
0.5 3,272
128 📉
(Org: 119)
(3,239)
0.01 3,239
129 📉
(Org: 118)
(3,223)
- 3,223
130 📈
(Org: 247)
(3,204)
0.54 3,204
131 📉
(Org: 126)
(3,161)
0.04 3,161
132 📈
(Org: 199)
(3,082)
0.36 3,082
133 📉
(Org: 127)
(3,062)
0.01 3,062
134 📉
(Org: 125)
(3,046)
- 3,046
135 📉
(Org: 128)
(3,022)
0 3,022
136 📉
(Org: 129)
(2,993)
0 2,993
137 📈
(Org: 238)
(2,984)
0.46 2,984
138 📉
(Org: 135)
(2,943)
0.04 2,943
139 📉
(Org: 133)
(2,905)
0 2,905
140 📈
(Org: 153)
(2,899)
0.12 2,899
141 📉
(Org: 137)
(2,849)
0.03 2,849
142 📉
(Org: 134)
(2,845)
- 2,845
143 📈
(Org: 145)
(2,814)
0.06 2,814
144 📉
(Org: 136)
(2,808)
0.01 2,808
145 📉
(Org: 141)
(2,786)
0.04 2,786
146 📈
(Org: 157)
(2,746)
0.1 2,746
147 📉
(Org: 140)
(2,716)
0.01 2,716
147 📉
(Org: 139)
(2,716)
0.01 2,716
149 📉
(Org: 138)
(2,703)
- 2,703
150 📈
(Org: 162)
(2,680)
0.09 2,680
151 📉
(Org: 142)
(2,673)
- 2,673
152 📉
(Org: 149)
(2,663)
0.02 2,663
153 📉
(Org: 147)
(2,649)
0 2,649
154 📉
(Org: 146)
(2,642)
- 2,642
155 📈
(Org: 159)
(2,638)
0.07 2,638
155 📉
(Org: 151)
(2,638)
0.03 2,638
157 📉
(Org: 150)
(2,620)
0.02 2,620
158 📉
(Org: 154)
(2,601)
0.02 2,601
159 📉
(Org: 152)
(2,583)
0.01 2,583
160 📈
(Org: 172)
(2,568)
0.13 2,568
161 📉
(Org: 155)
(2,541)
- 2,541
162 📉
(Org: 156)
(2,494)
0 2,494
163 📈
(Org: 280)
(2,484)
0.49 2,484
164 📈
(Org: 307)
(2,477)
0.55 2,477
164 📉
(Org: 158)
(2,477)
0 2,477
166 📉
(Org: 164)
(2,458)
0.01 2,458
167 📉
(Org: 165)
(2,421)
0.01 2,421
168 📈
(Org: 258)
(2,417)
0.42 2,417
169 📉
(Org: 166)
(2,413)
0.01 2,413
170 📉
(Org: 167)
(2,387)
- 2,387
171 📈
(Org: 173)
(2,376)
0.06 2,376
172 📉
(Org: 168)
(2,371)
- 2,371
173 📈
(Org: 231)
(2,348)
0.31 2,348
174 📈
(Org: 260)
(2,307)
0.4 2,307
175 📉
(Org: 170)
(2,304)
0 2,304
176 📈
(Org: 190)
(2,278)
0.09 2,278
177 📈
(Org: 184)
(2,271)
0.06 2,271
178 📈
(Org: 191)
(2,268)
0.09 2,268
178 📉
(Org: 174)
(2,268)
0.02 2,268
180 📉
(Org: 177)
(2,229)
0.02 2,229
181 📉
(Org: 175)
(2,219)
0.01 2,219
182 📈
(Org: 199)
(2,215)
0.11 2,215
183 📉
(Org: 178)
(2,184)
- 2,184
184 📉
(Org: 182)
(2,159)
0.01 2,159
185 📉
(Org: 180)
(2,156)
- 2,156
186 📈
(Org: 195)
(2,155)
0.06 2,155
186 📈
(Org: 187)
(2,155)
0.03 2,155
188 📉
(Org: 185)
(2,148)
0.01 2,148
189 📉
(Org: 182)
(2,141)
- 2,141
190 📉
(Org: 186)
(2,104)
- 2,104
191 📉
(Org: 188)
(2,102)
0 2,102
192 📉
(Org: 189)
(2,073)
- 2,073
193 📈
(Org: 301)
(2,064)
0.45 2,064
194 📈
(Org: 203)
(2,062)
0.06 2,062
195 📉
(Org: 192)
(2,053)
- 2,053
196 📉
(Org: 193)
(2,049)
0.01 2,049
197 📈
(Org: 210)
(2,033)
0.1 2,033
198 📈
(Org: 205)
(2,021)
0.06 2,021
199 📉
(Org: 195)
(2,018)
- 2,018
200 📉
(Org: 197)
(1,989)
- 1,989