101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1952 - 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: 101)
(3,183)
0 3,183
102 ➡️
(Org: 102)
(3,157)
- 3,157
103 📈
(Org: 104)
(3,134)
- 3,134
104 📈
(Org: 147)
(3,095)
0.38 3,095
105 ➡️
(Org: 105)
(3,061)
0.01 3,061
106 ➡️
(Org: 106)
(3,037)
0 3,037
107 ➡️
(Org: 107)
(2,995)
- 2,995
108 ➡️
(Org: 108)
(2,990)
0.01 2,990
109 📈
(Org: 110)
(2,860)
0.01 2,860
110 📈
(Org: 111)
(2,786)
0.01 2,786
111 📈
(Org: 145)
(2,771)
0.28 2,771
112 📈
(Org: 120)
(2,770)
0.07 2,770
113 ➡️
(Org: 113)
(2,734)
0.02 2,734
114 ➡️
(Org: 114)
(2,689)
- 2,689
115 ➡️
(Org: 115)
(2,663)
0 2,663
116 ➡️
(Org: 116)
(2,645)
- 2,645
117 ➡️
(Org: 117)
(2,638)
- 2,638
118 📈
(Org: 119)
(2,633)
0.02 2,633
119 📉
(Org: 118)
(2,632)
- 2,632
120 📈
(Org: 127)
(2,562)
0.09 2,562
121 📈
(Org: 130)
(2,533)
0.1 2,533
122 ➡️
(Org: 122)
(2,514)
0.03 2,514
123 📈
(Org: 125)
(2,448)
0.04 2,448
124 📉
(Org: 123)
(2,413)
0 2,413
125 📈
(Org: 193)
(2,387)
0.5 2,387
126 📉
(Org: 124)
(2,377)
- 2,377
127 📉
(Org: 126)
(2,356)
- 2,356
128 📈
(Org: 129)
(2,347)
0.02 2,347
129 📉
(Org: 128)
(2,335)
- 2,335
130 📈
(Org: 134)
(2,283)
0.04 2,283
131 ➡️
(Org: 131)
(2,231)
- 2,231
132 ➡️
(Org: 132)
(2,229)
- 2,229
133 📈
(Org: 138)
(2,219)
0.07 2,219
134 📈
(Org: 139)
(2,208)
0.07 2,208
135 📈
(Org: 142)
(2,172)
0.06 2,172
136 📈
(Org: 144)
(2,168)
0.07 2,168
137 📈
(Org: 188)
(2,123)
0.41 2,123
137 📈
(Org: 191)
(2,123)
0.43 2,123
139 📉
(Org: 136)
(2,101)
- 2,101
140 📈
(Org: 141)
(2,096)
0.02 2,096
141 📉
(Org: 137)
(2,087)
0 2,087
142 📈
(Org: 143)
(2,014)
- 2,014
143 📈
(Org: 160)
(1,989)
0.15 1,989
144 📈
(Org: 157)
(1,933)
0.09 1,933
145 📈
(Org: 146)
(1,932)
- 1,932
146 📈
(Org: 177)
(1,900)
0.22 1,900
147 📈
(Org: 154)
(1,866)
0.03 1,866
148 📈
(Org: 149)
(1,860)
- 1,860
149 📈
(Org: 150)
(1,856)
- 1,856
150 📈
(Org: 188)
(1,855)
0.32 1,855
151 ➡️
(Org: 151)
(1,847)
- 1,847
152 ➡️
(Org: 152)
(1,843)
- 1,843
153 📈
(Org: 155)
(1,835)
0.01 1,835
154 📈
(Org: 161)
(1,830)
0.09 1,830
155 📈
(Org: 156)
(1,812)
0 1,812
156 📈
(Org: 159)
(1,775)
0.03 1,775
157 📈
(Org: 178)
(1,767)
0.17 1,767
158 ➡️
(Org: 158)
(1,724)
- 1,724
159 📈
(Org: 167)
(1,697)
0.06 1,697
160 📈
(Org: 173)
(1,693)
0.1 1,693
161 📈
(Org: 162)
(1,661)
- 1,661
162 📈
(Org: 223)
(1,645)
0.46 1,645
163 📈
(Org: 165)
(1,641)
0.03 1,641
164 ➡️
(Org: 164)
(1,618)
- 1,618
165 ➡️
(Org: 165)
(1,617)
0.01 1,617
166 📈
(Org: 195)
(1,609)
0.28 1,609
167 📈
(Org: 168)
(1,588)
- 1,588
168 📈
(Org: 169)
(1,576)
- 1,576
169 📈
(Org: 171)
(1,558)
- 1,558
170 📈
(Org: 174)
(1,540)
0.03 1,540
171 📈
(Org: 172)
(1,523)
- 1,523
172 📈
(Org: 242)
(1,502)
0.49 1,502
173 📈
(Org: 175)
(1,497)
- 1,497
174 📈
(Org: 176)
(1,494)
- 1,494
175 📈
(Org: 179)
(1,463)
- 1,463
176 📈
(Org: 180)
(1,456)
- 1,456
177 📈
(Org: 181)
(1,454)
0.01 1,454
178 📈
(Org: 182)
(1,441)
0.02 1,441
179 📈
(Org: 183)
(1,380)
- 1,380
180 📈
(Org: 201)
(1,375)
0.2 1,375
181 📈
(Org: 187)
(1,366)
0.07 1,366
182 📈
(Org: 184)
(1,348)
0.01 1,348
183 📈
(Org: 185)
(1,332)
0 1,332
184 📈
(Org: 186)
(1,284)
- 1,284
185 📈
(Org: 188)
(1,258)
- 1,258
186 📈
(Org: 197)
(1,192)
0.04 1,192
187 📈
(Org: 194)
(1,167)
- 1,167
188 📈
(Org: 196)
(1,159)
0.01 1,159
189 📈
(Org: 204)
(1,140)
0.05 1,140
190 📈
(Org: 239)
(1,136)
0.31 1,136
191 📈
(Org: 202)
(1,134)
0.04 1,134
192 📈
(Org: 199)
(1,127)
0 1,127
193 📈
(Org: 202)
(1,087)
- 1,087
194 📈
(Org: 205)
(1,081)
- 1,081
195 📈
(Org: 208)
(1,079)
0.06 1,079
196 📈
(Org: 206)
(1,077)
- 1,077
197 📈
(Org: 216)
(1,004)
0.06 1,004
198 📈
(Org: 344)
(986)
0.59 986
199 📈
(Org: 210)
(984)
0.01 984
200 📈
(Org: 209)
(978)
- 978