101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1990 - 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: 112)
(3,488)
0.11 3,488
102 📈
(Org: 104)
(3,454)
0.01 3,454
103 📈
(Org: 121)
(3,404)
0.18 3,404
104 📈
(Org: 110)
(3,262)
0.03 3,262
105 📈
(Org: 109)
(3,187)
- 3,187
106 📈
(Org: 113)
(3,120)
0.01 3,120
107 📈
(Org: 145)
(3,103)
0.29 3,103
108 📈
(Org: 114)
(3,075)
0 3,075
109 📈
(Org: 117)
(3,048)
0.05 3,048
110 📈
(Org: 115)
(3,020)
0.03 3,020
111 📈
(Org: 116)
(2,938)
0.01 2,938
112 📈
(Org: 118)
(2,923)
0.01 2,923
113 📈
(Org: 120)
(2,891)
0.03 2,891
114 📈
(Org: 119)
(2,828)
0 2,828
115 📈
(Org: 123)
(2,775)
0.03 2,775
116 📈
(Org: 132)
(2,765)
0.12 2,765
117 📈
(Org: 125)
(2,661)
0.01 2,661
118 📈
(Org: 139)
(2,648)
0.16 2,648
119 📈
(Org: 126)
(2,640)
- 2,640
120 📈
(Org: 129)
(2,631)
0.05 2,631
121 📈
(Org: 127)
(2,630)
0.01 2,630
122 📈
(Org: 130)
(2,611)
0.05 2,611
123 📈
(Org: 131)
(2,506)
0.01 2,506
124 📈
(Org: 128)
(2,505)
- 2,505
125 📈
(Org: 152)
(2,453)
0.17 2,453
126 📈
(Org: 133)
(2,406)
- 2,406
127 📈
(Org: 134)
(2,390)
- 2,390
128 📈
(Org: 135)
(2,343)
0.01 2,343
129 📈
(Org: 137)
(2,295)
- 2,295
130 📈
(Org: 142)
(2,294)
0.04 2,294
131 📈
(Org: 147)
(2,289)
0.05 2,289
132 📈
(Org: 176)
(2,288)
0.23 2,288
133 📈
(Org: 146)
(2,264)
0.03 2,264
134 📈
(Org: 138)
(2,263)
0 2,263
135 📈
(Org: 188)
(2,262)
0.28 2,262
136 📈
(Org: 140)
(2,227)
- 2,227
137 📈
(Org: 141)
(2,220)
- 2,220
138 📈
(Org: 143)
(2,206)
- 2,206
139 📈
(Org: 144)
(2,194)
- 2,194
140 📈
(Org: 169)
(2,173)
0.16 2,173
141 📈
(Org: 149)
(2,159)
- 2,159
142 📈
(Org: 172)
(2,143)
0.17 2,143
143 📈
(Org: 151)
(2,136)
0.04 2,136
144 📈
(Org: 221)
(2,129)
0.35 2,129
145 📈
(Org: 178)
(2,120)
0.18 2,120
146 📈
(Org: 150)
(2,096)
- 2,096
147 📈
(Org: 201)
(2,084)
0.28 2,084
148 📈
(Org: 153)
(2,069)
0.02 2,069
149 📈
(Org: 205)
(2,013)
0.26 2,013
150 📈
(Org: 154)
(2,006)
- 2,006
151 📈
(Org: 155)
(1,996)
- 1,996
152 📈
(Org: 157)
(1,991)
0 1,991
153 📈
(Org: 156)
(1,990)
- 1,990
154 📈
(Org: 168)
(1,986)
0.08 1,986
155 📈
(Org: 158)
(1,984)
0 1,984
156 📈
(Org: 159)
(1,976)
- 1,976
157 📈
(Org: 161)
(1,972)
0.02 1,972
158 📈
(Org: 166)
(1,959)
0.06 1,959
159 📈
(Org: 162)
(1,955)
0.02 1,955
160 ➡️
(Org: 160)
(1,954)
- 1,954
161 📈
(Org: 174)
(1,952)
0.09 1,952
162 📈
(Org: 164)
(1,914)
0.01 1,914
163 📈
(Org: 173)
(1,904)
0.06 1,904
164 📈
(Org: 171)
(1,852)
0.03 1,852
165 📈
(Org: 167)
(1,827)
- 1,827
166 📈
(Org: 192)
(1,818)
0.12 1,818
167 📈
(Org: 170)
(1,817)
- 1,817
168 📈
(Org: 182)
(1,749)
0.03 1,749
169 📈
(Org: 177)
(1,748)
- 1,748
170 📈
(Org: 180)
(1,739)
0.01 1,739
171 📈
(Org: 179)
(1,737)
0 1,737
172 📈
(Org: 185)
(1,733)
0.03 1,733
173 📈
(Org: 181)
(1,716)
0 1,716
174 📈
(Org: 207)
(1,706)
0.13 1,706
175 📈
(Org: 183)
(1,695)
- 1,695
176 📈
(Org: 205)
(1,671)
0.11 1,671
177 📈
(Org: 186)
(1,647)
- 1,647
178 📈
(Org: 199)
(1,641)
0.08 1,641
179 📈
(Org: 195)
(1,634)
0.05 1,634
180 📈
(Org: 256)
(1,633)
0.35 1,633
181 📈
(Org: 189)
(1,631)
0 1,631
182 📈
(Org: 190)
(1,627)
0 1,627
183 📈
(Org: 212)
(1,616)
0.1 1,616
184 📈
(Org: 191)
(1,614)
- 1,614
185 📈
(Org: 262)
(1,607)
0.36 1,607
186 📈
(Org: 252)
(1,595)
0.33 1,595
187 📈
(Org: 193)
(1,582)
0.01 1,582
188 📈
(Org: 194)
(1,555)
- 1,555
189 📈
(Org: 197)
(1,549)
0.01 1,549
190 📈
(Org: 227)
(1,546)
0.15 1,546
191 📈
(Org: 196)
(1,543)
- 1,543
191 📈
(Org: 260)
(1,543)
0.33 1,543
193 📈
(Org: 255)
(1,537)
0.31 1,537
194 📈
(Org: 203)
(1,532)
0.02 1,532
195 📈
(Org: 211)
(1,531)
0.05 1,531
195 📈
(Org: 204)
(1,531)
0.02 1,531
197 📈
(Org: 322)
(1,528)
0.49 1,528
198 ➡️
(Org: 198)
(1,527)
- 1,527
199 ➡️
(Org: 199)
(1,521)
0.01 1,521
200 📈
(Org: 269)
(1,514)
0.34 1,514