101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1938 - 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: 98)
(2,063)
- 2,063
101 ➡️
(Org: 101)
(2,063)
0.03 2,063
103 📈
(Org: 112)
(2,037)
0.12 2,037
104 📈
(Org: 105)
(2,025)
0.04 2,025
105 📉
(Org: 102)
(1,997)
- 1,997
106 📈
(Org: 143)
(1,991)
0.42 1,991
107 📉
(Org: 104)
(1,958)
0 1,958
107 📉
(Org: 103)
(1,958)
- 1,958
109 📉
(Org: 106)
(1,947)
0.01 1,947
110 📉
(Org: 108)
(1,907)
0 1,907
111 📈
(Org: 128)
(1,883)
0.28 1,883
112 📉
(Org: 110)
(1,835)
- 1,835
113 📉
(Org: 111)
(1,819)
- 1,819
114 📈
(Org: 123)
(1,761)
0.17 1,761
115 📈
(Org: 170)
(1,695)
0.49 1,695
116 📉
(Org: 114)
(1,616)
- 1,616
117 📉
(Org: 115)
(1,610)
0 1,610
118 📈
(Org: 124)
(1,607)
0.11 1,607
119 📉
(Org: 116)
(1,596)
- 1,596
120 📈
(Org: 132)
(1,580)
0.17 1,580
121 📉
(Org: 118)
(1,570)
0.01 1,570
122 📉
(Org: 117)
(1,561)
- 1,561
123 📉
(Org: 120)
(1,558)
0.01 1,558
124 📈
(Org: 152)
(1,542)
0.31 1,542
125 📉
(Org: 119)
(1,540)
- 1,540
126 📉
(Org: 125)
(1,485)
0.05 1,485
127 📉
(Org: 122)
(1,454)
- 1,454
128 📈
(Org: 131)
(1,422)
0.08 1,422
129 📉
(Org: 127)
(1,400)
- 1,400
130 📉
(Org: 129)
(1,374)
0.03 1,374
131 📉
(Org: 130)
(1,330)
- 1,330
132 📈
(Org: 137)
(1,311)
0.08 1,311
133 ➡️
(Org: 133)
(1,301)
- 1,301
134 📈
(Org: 176)
(1,290)
0.36 1,290
135 ➡️
(Org: 135)
(1,288)
0.03 1,288
136 📈
(Org: 186)
(1,281)
0.42 1,281
137 📉
(Org: 134)
(1,262)
- 1,262
138 📉
(Org: 136)
(1,236)
- 1,236
139 📉
(Org: 138)
(1,188)
0.01 1,188
140 📉
(Org: 139)
(1,176)
- 1,176
141 📉
(Org: 140)
(1,164)
- 1,164
142 📉
(Org: 141)
(1,162)
- 1,162
143 📉
(Org: 142)
(1,158)
- 1,158
144 📈
(Org: 159)
(1,150)
0.13 1,150
145 ➡️
(Org: 145)
(1,148)
0.01 1,148
146 📉
(Org: 144)
(1,144)
- 1,144
147 📉
(Org: 146)
(1,121)
- 1,121
148 📉
(Org: 147)
(1,116)
0 1,116
149 📈
(Org: 153)
(1,114)
0.05 1,114
150 ➡️
(Org: 150)
(1,107)
0.03 1,107
151 📈
(Org: 161)
(1,104)
0.1 1,104
152 📉
(Org: 148)
(1,095)
- 1,095
153 📉
(Org: 149)
(1,077)
- 1,077
154 📈
(Org: 155)
(1,070)
0.03 1,070
155 📉
(Org: 151)
(1,068)
- 1,068
156 📉
(Org: 154)
(1,055)
- 1,055
157 📉
(Org: 156)
(1,046)
0.01 1,046
158 📉
(Org: 157)
(1,030)
- 1,030
159 📉
(Org: 158)
(1,024)
- 1,024
160 📈
(Org: 166)
(980)
0.08 980
161 📈
(Org: 164)
(973)
0.01 973
162 📈
(Org: 168)
(951)
0.08 951
163 📈
(Org: 165)
(936)
- 936
164 📈
(Org: 199)
(930)
0.31 930
164 📈
(Org: 173)
(930)
0.09 930
166 📈
(Org: 240)
(914)
0.47 914
167 📈
(Org: 180)
(884)
0.07 884
168 📉
(Org: 167)
(882)
- 882
169 ➡️
(Org: 169)
(874)
- 874
170 📈
(Org: 181)
(859)
0.06 859
171 ➡️
(Org: 171)
(855)
- 855
172 ➡️
(Org: 172)
(846)
- 846
173 📈
(Org: 239)
(845)
0.41 845
174 📈
(Org: 175)
(828)
- 828
175 📈
(Org: 178)
(825)
- 825
176 📈
(Org: 183)
(801)
0.01 801
177 📈
(Org: 190)
(797)
0.1 797
178 📈
(Org: 182)
(795)
- 795
179 📈
(Org: 204)
(776)
0.22 776
180 📈
(Org: 234)
(773)
0.34 773
181 📈
(Org: 185)
(765)
- 765
182 📈
(Org: 187)
(731)
- 731
183 📈
(Org: 188)
(723)
- 723
184 📈
(Org: 192)
(720)
0.05 720
185 📈
(Org: 189)
(719)
- 719
186 📈
(Org: 205)
(686)
0.11 686
187 📈
(Org: 259)
(680)
0.35 680
188 📈
(Org: 193)
(666)
- 666
189 📈
(Org: 195)
(663)
- 663
190 📈
(Org: 198)
(661)
0.02 661
191 📈
(Org: 215)
(660)
0.13 660
192 📈
(Org: 196)
(657)
- 657
193 📈
(Org: 197)
(648)
- 648
194 📈
(Org: 202)
(642)
0.02 642
195 📈
(Org: 199)
(640)
- 640
196 📈
(Org: 324)
(639)
0.54 639
196 📈
(Org: 201)
(639)
- 639
198 📈
(Org: 228)
(631)
0.17 631
199 📈
(Org: 296)
(630)
0.46 630
200 📈
(Org: 203)
(626)
- 626