101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1998 - 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: 97)
(3,997)
- 3,997
102 📉
(Org: 98)
(3,930)
0 3,930
103 ➡️
(Org: 103)
(3,903)
0.07 3,903
104 📉
(Org: 99)
(3,878)
- 3,878
105 📉
(Org: 102)
(3,797)
0 3,797
106 📉
(Org: 104)
(3,719)
0.04 3,719
107 📉
(Org: 105)
(3,575)
- 3,575
108 ➡️
(Org: 108)
(3,542)
0.03 3,542
109 📈
(Org: 177)
(3,494)
0.46 3,494
110 📉
(Org: 109)
(3,484)
0.02 3,484
111 📉
(Org: 107)
(3,476)
0 3,476
112 📈
(Org: 118)
(3,436)
0.08 3,436
113 📉
(Org: 111)
(3,407)
0.01 3,407
114 📈
(Org: 144)
(3,372)
0.24 3,372
115 📉
(Org: 112)
(3,356)
- 3,356
116 📈
(Org: 128)
(3,250)
0.07 3,250
117 📈
(Org: 119)
(3,236)
0.03 3,236
118 📉
(Org: 114)
(3,223)
- 3,223
119 📉
(Org: 116)
(3,219)
0.01 3,219
120 📉
(Org: 117)
(3,193)
0.01 3,193
121 📈
(Org: 133)
(3,191)
0.1 3,191
122 📉
(Org: 121)
(3,157)
0.02 3,157
123 ➡️
(Org: 123)
(3,104)
0.01 3,104
124 ➡️
(Org: 124)
(3,098)
0.01 3,098
125 ➡️
(Org: 125)
(3,093)
0.02 3,093
126 📉
(Org: 125)
(3,084)
0.01 3,084
127 📈
(Org: 129)
(3,044)
0.01 3,044
128 📉
(Org: 127)
(3,014)
- 3,014
129 📈
(Org: 131)
(2,931)
- 2,931
130 📈
(Org: 251)
(2,919)
0.59 2,919
131 📈
(Org: 138)
(2,845)
0.05 2,845
132 📈
(Org: 135)
(2,825)
0.01 2,825
133 📈
(Org: 136)
(2,813)
0.01 2,813
134 📈
(Org: 137)
(2,756)
0.01 2,756
135 📈
(Org: 139)
(2,749)
0.02 2,749
136 📈
(Org: 141)
(2,652)
0 2,652
137 📈
(Org: 142)
(2,629)
- 2,629
138 📈
(Org: 207)
(2,543)
0.38 2,543
139 📈
(Org: 162)
(2,527)
0.16 2,527
140 📈
(Org: 145)
(2,487)
- 2,487
141 📈
(Org: 146)
(2,458)
0 2,458
142 📈
(Org: 170)
(2,447)
0.19 2,447
143 📈
(Org: 154)
(2,433)
0.08 2,433
144 📈
(Org: 222)
(2,398)
0.39 2,398
145 📈
(Org: 152)
(2,377)
0.06 2,377
146 📈
(Org: 230)
(2,375)
0.42 2,375
147 📈
(Org: 148)
(2,366)
0.02 2,366
148 📉
(Org: 147)
(2,351)
- 2,351
149 📈
(Org: 204)
(2,346)
0.32 2,346
150 ➡️
(Org: 150)
(2,342)
0.03 2,342
151 📈
(Org: 160)
(2,329)
0.08 2,329
152 📉
(Org: 149)
(2,318)
0 2,318
153 📉
(Org: 151)
(2,267)
0 2,267
154 📉
(Org: 153)
(2,241)
- 2,241
155 📈
(Org: 159)
(2,230)
0.03 2,230
156 📉
(Org: 155)
(2,209)
- 2,209
157 📈
(Org: 158)
(2,205)
0.01 2,205
158 📉
(Org: 157)
(2,184)
0 2,184
159 📈
(Org: 169)
(2,166)
0.08 2,166
160 📈
(Org: 263)
(2,158)
0.49 2,158
161 📈
(Org: 245)
(2,142)
0.41 2,142
162 📉
(Org: 161)
(2,138)
- 2,138
163 ➡️
(Org: 163)
(2,123)
0.01 2,123
164 📈
(Org: 252)
(2,112)
0.44 2,112
165 ➡️
(Org: 165)
(2,102)
0.02 2,102
166 ➡️
(Org: 166)
(2,065)
0 2,065
167 ➡️
(Org: 167)
(2,047)
- 2,047
168 ➡️
(Org: 168)
(2,023)
0.01 2,023
169 📈
(Org: 171)
(1,983)
0.01 1,983
170 📈
(Org: 173)
(1,980)
0.01 1,980
171 📈
(Org: 172)
(1,960)
- 1,960
172 📈
(Org: 220)
(1,947)
0.25 1,947
173 📈
(Org: 181)
(1,922)
0.04 1,922
174 📈
(Org: 175)
(1,916)
0.01 1,916
175 📉
(Org: 174)
(1,903)
- 1,903
176 ➡️
(Org: 176)
(1,891)
- 1,891
177 ➡️
(Org: 177)
(1,887)
- 1,887
178 📈
(Org: 179)
(1,872)
- 1,872
179 📈
(Org: 180)
(1,862)
- 1,862
180 📈
(Org: 205)
(1,853)
0.15 1,853
181 📈
(Org: 182)
(1,847)
- 1,847
182 📈
(Org: 202)
(1,840)
0.11 1,840
183 📈
(Org: 186)
(1,835)
0.01 1,835
184 📈
(Org: 189)
(1,831)
0.02 1,831
185 📉
(Org: 183)
(1,830)
- 1,830
186 📉
(Org: 184)
(1,821)
- 1,821
187 📉
(Org: 185)
(1,815)
- 1,815
188 📉
(Org: 187)
(1,814)
0 1,814
189 📈
(Org: 199)
(1,809)
0.06 1,809
190 📉
(Org: 188)
(1,803)
- 1,803
191 📉
(Org: 190)
(1,800)
0.01 1,800
192 📈
(Org: 209)
(1,786)
0.14 1,786
193 📉
(Org: 191)
(1,784)
- 1,784
194 📈
(Org: 203)
(1,783)
0.08 1,783
195 📉
(Org: 193)
(1,767)
- 1,767
196 📈
(Org: 282)
(1,758)
0.42 1,758
197 📈
(Org: 211)
(1,743)
0.12 1,743
198 📈
(Org: 328)
(1,736)
0.52 1,736
199 📈
(Org: 226)
(1,731)
0.19 1,731
200 📉
(Org: 196)
(1,710)
0 1,710