101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1947 - 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: 100)
(3,034)
0.01 3,034
102 📈
(Org: 125)
(3,027)
0.25 3,027
103 📉
(Org: 102)
(3,011)
0.03 3,011
104 📉
(Org: 101)
(2,990)
- 2,990
105 📈
(Org: 112)
(2,955)
0.11 2,955
106 📈
(Org: 118)
(2,903)
0.16 2,903
107 📉
(Org: 104)
(2,867)
0 2,867
108 📉
(Org: 105)
(2,803)
- 2,803
109 📉
(Org: 108)
(2,728)
- 2,728
110 📉
(Org: 109)
(2,724)
0.01 2,724
111 ➡️
(Org: 111)
(2,717)
0.02 2,717
112 📉
(Org: 110)
(2,701)
0 2,701
113 📈
(Org: 114)
(2,595)
0 2,595
114 📈
(Org: 122)
(2,538)
0.08 2,538
115 📈
(Org: 116)
(2,530)
0.01 2,530
116 📉
(Org: 115)
(2,514)
- 2,514
117 ➡️
(Org: 117)
(2,488)
- 2,488
118 📈
(Org: 119)
(2,446)
0 2,446
119 📈
(Org: 120)
(2,438)
0 2,438
120 📈
(Org: 173)
(2,410)
0.46 2,410
121 📈
(Org: 126)
(2,383)
0.04 2,383
122 📈
(Org: 124)
(2,381)
0.03 2,381
123 📉
(Org: 121)
(2,355)
- 2,355
124 📈
(Org: 127)
(2,279)
0 2,279
125 📈
(Org: 128)
(2,263)
- 2,263
126 📈
(Org: 162)
(2,248)
0.35 2,248
127 📈
(Org: 131)
(2,238)
0.01 2,238
128 📈
(Org: 130)
(2,221)
0 2,221
129 ➡️
(Org: 129)
(2,215)
- 2,215
130 📈
(Org: 132)
(2,187)
- 2,187
131 📈
(Org: 153)
(2,181)
0.21 2,181
132 📈
(Org: 133)
(2,144)
- 2,144
133 📈
(Org: 181)
(2,142)
0.47 2,142
134 📈
(Org: 141)
(2,120)
0.06 2,120
135 📈
(Org: 143)
(2,115)
0.09 2,115
136 📉
(Org: 134)
(2,114)
- 2,114
137 📈
(Org: 145)
(2,107)
0.09 2,107
138 📉
(Org: 135)
(2,092)
- 2,092
139 📉
(Org: 136)
(2,091)
- 2,091
140 ➡️
(Org: 140)
(2,071)
0.03 2,071
141 📉
(Org: 139)
(2,053)
0.01 2,053
142 📈
(Org: 148)
(2,042)
0.12 2,042
143 📈
(Org: 191)
(1,989)
0.47 1,989
144 ➡️
(Org: 144)
(1,987)
0.03 1,987
145 📉
(Org: 142)
(1,944)
- 1,944
146 📈
(Org: 151)
(1,923)
0.07 1,923
147 📉
(Org: 146)
(1,876)
- 1,876
148 📈
(Org: 152)
(1,838)
0.04 1,838
149 📈
(Org: 171)
(1,834)
0.28 1,834
150 📉
(Org: 147)
(1,810)
0 1,810
151 📉
(Org: 149)
(1,796)
- 1,796
152 📉
(Org: 150)
(1,795)
- 1,795
153 📈
(Org: 187)
(1,736)
0.37 1,736
154 ➡️
(Org: 154)
(1,714)
- 1,714
155 📈
(Org: 175)
(1,702)
0.29 1,702
156 📉
(Org: 155)
(1,693)
- 1,693
157 📉
(Org: 156)
(1,678)
- 1,678
158 📉
(Org: 157)
(1,671)
0.01 1,671
159 📈
(Org: 178)
(1,647)
0.28 1,647
160 📈
(Org: 222)
(1,644)
0.5 1,644
161 📉
(Org: 158)
(1,638)
- 1,638
162 📈
(Org: 166)
(1,570)
0.09 1,570
163 📉
(Org: 161)
(1,554)
0.01 1,554
163 📉
(Org: 160)
(1,554)
0 1,554
165 📈
(Org: 167)
(1,536)
0.07 1,536
165 📈
(Org: 187)
(1,536)
0.28 1,536
167 📉
(Org: 163)
(1,510)
0.03 1,510
168 📉
(Org: 164)
(1,460)
0.01 1,460
169 📉
(Org: 165)
(1,443)
- 1,443
170 📉
(Org: 168)
(1,419)
- 1,419
171 📉
(Org: 169)
(1,416)
- 1,416
172 📈
(Org: 174)
(1,346)
0.06 1,346
173 📉
(Org: 170)
(1,345)
0.01 1,345
174 📉
(Org: 172)
(1,314)
- 1,314
175 📈
(Org: 177)
(1,277)
0.06 1,277
176 📈
(Org: 210)
(1,266)
0.27 1,266
177 📈
(Org: 185)
(1,205)
0.07 1,205
178 📉
(Org: 176)
(1,201)
- 1,201
179 ➡️
(Org: 179)
(1,195)
0 1,195
180 📈
(Org: 189)
(1,185)
0.07 1,185
181 📉
(Org: 180)
(1,183)
- 1,183
182 ➡️
(Org: 182)
(1,150)
0.03 1,150
183 📈
(Org: 196)
(1,138)
0.08 1,138
184 📉
(Org: 182)
(1,120)
- 1,120
185 📈
(Org: 186)
(1,111)
- 1,111
186 📈
(Org: 190)
(1,081)
- 1,081
187 📈
(Org: 193)
(1,056)
- 1,056
188 📈
(Org: 194)
(1,053)
- 1,053
189 📈
(Org: 213)
(1,037)
0.14 1,037
190 📈
(Org: 197)
(1,032)
- 1,032
191 📈
(Org: 198)
(1,025)
- 1,025
192 📈
(Org: 199)
(1,018)
0.01 1,018
193 📈
(Org: 201)
(997)
- 997
194 📈
(Org: 202)
(989)
0.01 989
195 📈
(Org: 268)
(987)
0.36 987
196 📈
(Org: 205)
(973)
0.01 973
196 📈
(Org: 255)
(973)
0.31 973
198 📈
(Org: 239)
(972)
0.24 972
198 📈
(Org: 204)
(972)
0.01 972
200 📈
(Org: 206)
(962)
- 962