101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1949 - 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: 99)
(3,096)
0.01 3,096
102 📈
(Org: 105)
(3,019)
0.08 3,019
103 📉
(Org: 101)
(2,938)
- 2,938
104 📉
(Org: 102)
(2,922)
0 2,922
105 📉
(Org: 103)
(2,898)
- 2,898
106 📉
(Org: 104)
(2,788)
0.01 2,788
107 📉
(Org: 106)
(2,765)
- 2,765
108 📈
(Org: 109)
(2,755)
0.02 2,755
109 📈
(Org: 132)
(2,754)
0.24 2,754
110 📉
(Org: 107)
(2,740)
0 2,740
111 📉
(Org: 108)
(2,725)
- 2,725
112 📉
(Org: 111)
(2,715)
0.01 2,715
113 📈
(Org: 119)
(2,607)
0.06 2,607
114 📉
(Org: 113)
(2,586)
0.02 2,586
115 📈
(Org: 124)
(2,579)
0.1 2,579
116 📉
(Org: 112)
(2,575)
0 2,575
117 📉
(Org: 114)
(2,559)
0.01 2,559
118 📉
(Org: 115)
(2,527)
- 2,527
119 📉
(Org: 116)
(2,519)
- 2,519
120 📉
(Org: 118)
(2,465)
0 2,465
121 📉
(Org: 120)
(2,440)
- 2,440
122 📉
(Org: 121)
(2,425)
- 2,425
123 ➡️
(Org: 123)
(2,373)
- 2,373
124 📈
(Org: 125)
(2,318)
0.02 2,318
125 📈
(Org: 126)
(2,289)
0.04 2,289
126 📈
(Org: 161)
(2,251)
0.35 2,251
127 📈
(Org: 136)
(2,193)
0.09 2,193
128 ➡️
(Org: 128)
(2,158)
- 2,158
129 ➡️
(Org: 129)
(2,148)
0.02 2,148
130 📈
(Org: 152)
(2,120)
0.21 2,120
131 ➡️
(Org: 131)
(2,089)
0 2,089
132 📈
(Org: 140)
(2,083)
0.06 2,083
133 📈
(Org: 139)
(2,077)
0.04 2,077
134 📈
(Org: 135)
(2,076)
0.03 2,076
135 📉
(Org: 133)
(2,028)
0 2,028
136 📈
(Org: 146)
(2,013)
0.09 2,013
137 ➡️
(Org: 137)
(1,996)
- 1,996
138 ➡️
(Org: 138)
(1,987)
- 1,987
139 📈
(Org: 183)
(1,984)
0.42 1,984
140 📈
(Org: 142)
(1,956)
0.01 1,956
141 ➡️
(Org: 141)
(1,951)
- 1,951
142 📈
(Org: 205)
(1,938)
0.5 1,938
143 ➡️
(Org: 143)
(1,933)
- 1,933
144 📈
(Org: 150)
(1,922)
0.1 1,922
145 📈
(Org: 179)
(1,866)
0.36 1,866
146 📉
(Org: 145)
(1,834)
- 1,834
147 ➡️
(Org: 147)
(1,810)
- 1,810
148 📈
(Org: 206)
(1,777)
0.45 1,777
149 ➡️
(Org: 149)
(1,751)
- 1,751
150 📈
(Org: 151)
(1,724)
0 1,724
151 📈
(Org: 159)
(1,696)
0.07 1,696
152 📈
(Org: 155)
(1,693)
0.04 1,693
153 ➡️
(Org: 153)
(1,646)
- 1,646
154 ➡️
(Org: 154)
(1,643)
- 1,643
155 📈
(Org: 156)
(1,619)
- 1,619
156 📈
(Org: 157)
(1,613)
- 1,613
157 📈
(Org: 158)
(1,590)
- 1,590
158 📈
(Org: 178)
(1,582)
0.25 1,582
159 📈
(Org: 181)
(1,567)
0.25 1,567
160 ➡️
(Org: 160)
(1,559)
- 1,559
161 📈
(Org: 168)
(1,547)
0.1 1,547
162 📈
(Org: 164)
(1,540)
0.07 1,540
163 📉
(Org: 162)
(1,471)
0 1,471
164 📈
(Org: 166)
(1,451)
0.03 1,451
165 📉
(Org: 163)
(1,440)
- 1,440
166 📈
(Org: 202)
(1,430)
0.3 1,430
167 📉
(Org: 165)
(1,429)
0.01 1,429
168 📈
(Org: 214)
(1,426)
0.39 1,426
169 📈
(Org: 170)
(1,396)
0.03 1,396
170 📉
(Org: 169)
(1,393)
0.01 1,393
171 📉
(Org: 170)
(1,391)
0.02 1,391
172 📈
(Org: 177)
(1,335)
0.09 1,335
173 📈
(Org: 174)
(1,334)
0.02 1,334
174 📈
(Org: 175)
(1,318)
0.07 1,318
174 📉
(Org: 173)
(1,318)
- 1,318
176 ➡️
(Org: 176)
(1,292)
0.06 1,292
177 📈
(Org: 203)
(1,257)
0.21 1,257
178 📈
(Org: 190)
(1,216)
0.1 1,216
179 📈
(Org: 180)
(1,184)
- 1,184
180 📈
(Org: 187)
(1,171)
0.05 1,171
181 📈
(Org: 182)
(1,163)
- 1,163
182 📈
(Org: 184)
(1,135)
- 1,135
183 📈
(Org: 185)
(1,130)
- 1,130
184 📈
(Org: 186)
(1,124)
- 1,124
185 📈
(Org: 188)
(1,104)
- 1,104
186 📈
(Org: 189)
(1,092)
- 1,092
187 📈
(Org: 192)
(1,086)
0.01 1,086
188 📈
(Org: 193)
(1,076)
- 1,076
189 📈
(Org: 194)
(1,071)
- 1,071
190 📈
(Org: 197)
(1,058)
0.01 1,058
190 📈
(Org: 195)
(1,058)
- 1,058
192 📈
(Org: 198)
(1,042)
- 1,042
193 📈
(Org: 208)
(1,032)
0.08 1,032
194 📈
(Org: 201)
(1,026)
0.02 1,026
195 📈
(Org: 207)
(1,004)
0.04 1,004
196 📈
(Org: 204)
(994)
0.01 994
197 📈
(Org: 219)
(928)
0.1 928
198 📈
(Org: 209)
(927)
- 927
199 📈
(Org: 210)
(925)
- 925
200 📈
(Org: 211)
(913)
- 913