101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2003 - 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: 96)
(4,450)
0 4,450
102 📈
(Org: 155)
(4,446)
0.41 4,446
103 📈
(Org: 104)
(4,444)
0.08 4,444
104 📉
(Org: 98)
(4,419)
0 4,419
105 📈
(Org: 163)
(4,380)
0.44 4,380
106 📉
(Org: 100)
(4,330)
0 4,330
107 📉
(Org: 102)
(4,310)
0.03 4,310
108 📉
(Org: 101)
(4,220)
0 4,220
109 📉
(Org: 107)
(4,151)
0.05 4,151
110 📉
(Org: 108)
(4,014)
0.03 4,014
111 📈
(Org: 140)
(3,929)
0.27 3,929
112 📈
(Org: 135)
(3,797)
0.22 3,797
112 ➡️
(Org: 112)
(3,797)
0.04 3,797
114 📉
(Org: 109)
(3,738)
0.01 3,738
115 📉
(Org: 111)
(3,664)
0.01 3,664
116 📈
(Org: 145)
(3,636)
0.23 3,636
117 📉
(Org: 114)
(3,574)
0 3,574
118 📉
(Org: 115)
(3,521)
0.01 3,521
119 📉
(Org: 115)
(3,499)
0 3,499
120 📉
(Org: 117)
(3,473)
0.02 3,473
121 📉
(Org: 119)
(3,401)
0 3,401
122 📉
(Org: 120)
(3,390)
- 3,390
123 📉
(Org: 122)
(3,362)
0.02 3,362
124 📈
(Org: 199)
(3,329)
0.43 3,329
125 📈
(Org: 136)
(3,281)
0.1 3,281
126 ➡️
(Org: 126)
(3,270)
0.03 3,270
127 📉
(Org: 124)
(3,266)
0.01 3,266
128 📉
(Org: 123)
(3,256)
- 3,256
129 📉
(Org: 125)
(3,186)
- 3,186
130 📉
(Org: 127)
(3,145)
- 3,145
131 📉
(Org: 129)
(3,121)
- 3,121
132 📉
(Org: 130)
(3,114)
- 3,114
133 📉
(Org: 131)
(3,110)
0 3,110
134 📉
(Org: 132)
(3,107)
0.01 3,107
135 📈
(Org: 208)
(3,063)
0.42 3,063
136 📈
(Org: 144)
(3,038)
0.07 3,038
137 📈
(Org: 139)
(2,959)
0.02 2,959
138 ➡️
(Org: 138)
(2,930)
0.01 2,930
139 📈
(Org: 143)
(2,929)
0.02 2,929
140 📉
(Org: 137)
(2,917)
- 2,917
141 📈
(Org: 142)
(2,908)
0.01 2,908
142 📈
(Org: 181)
(2,899)
0.25 2,899
143 📉
(Org: 141)
(2,867)
- 2,867
144 📈
(Org: 147)
(2,843)
0.03 2,843
145 📈
(Org: 146)
(2,815)
0 2,815
146 📈
(Org: 148)
(2,779)
0.01 2,779
147 📈
(Org: 150)
(2,759)
0.01 2,759
148 📈
(Org: 151)
(2,717)
0 2,717
149 📈
(Org: 152)
(2,701)
0.01 2,701
150 📈
(Org: 233)
(2,646)
0.45 2,646
151 📈
(Org: 154)
(2,640)
- 2,640
152 📈
(Org: 228)
(2,639)
0.43 2,639
153 📈
(Org: 160)
(2,625)
0.04 2,625
154 📈
(Org: 165)
(2,598)
0.08 2,598
155 📈
(Org: 157)
(2,554)
- 2,554
156 📈
(Org: 159)
(2,541)
- 2,541
157 📈
(Org: 162)
(2,533)
0.03 2,533
158 📈
(Org: 161)
(2,519)
0.01 2,519
159 📈
(Org: 176)
(2,477)
0.11 2,477
160 📈
(Org: 164)
(2,442)
0 2,442
161 📈
(Org: 167)
(2,439)
0.03 2,439
162 📈
(Org: 173)
(2,419)
0.05 2,419
163 📈
(Org: 166)
(2,394)
0.01 2,394
164 📈
(Org: 169)
(2,385)
0.01 2,385
165 📈
(Org: 234)
(2,381)
0.4 2,381
166 📈
(Org: 168)
(2,364)
0 2,364
167 📈
(Org: 171)
(2,327)
- 2,327
168 📈
(Org: 172)
(2,320)
- 2,320
169 📈
(Org: 221)
(2,298)
0.31 2,298
170 📈
(Org: 231)
(2,279)
0.35 2,279
171 📈
(Org: 193)
(2,271)
0.15 2,271
172 📈
(Org: 184)
(2,267)
0.06 2,267
173 📈
(Org: 174)
(2,248)
- 2,248
174 📈
(Org: 175)
(2,222)
0 2,222
175 📈
(Org: 265)
(2,217)
0.45 2,217
176 📈
(Org: 183)
(2,214)
0.04 2,214
177 ➡️
(Org: 177)
(2,201)
- 2,201
178 📈
(Org: 180)
(2,196)
0.01 2,196
178 📈
(Org: 194)
(2,196)
0.13 2,196
180 📈
(Org: 182)
(2,186)
0.03 2,186
181 📉
(Org: 179)
(2,181)
- 2,181
182 📈
(Org: 185)
(2,148)
0.02 2,148
183 📈
(Org: 190)
(2,139)
0.07 2,139
184 📈
(Org: 187)
(2,061)
0 2,061
185 📈
(Org: 195)
(2,058)
0.08 2,058
186 📈
(Org: 192)
(2,050)
0.04 2,050
187 📈
(Org: 196)
(2,041)
0.07 2,041
188 📈
(Org: 191)
(2,000)
0.01 2,000
189 ➡️
(Org: 189)
(1,998)
- 1,998
190 📈
(Org: 214)
(1,983)
0.16 1,983
191 📈
(Org: 220)
(1,966)
0.19 1,966
192 📈
(Org: 249)
(1,965)
0.32 1,965
193 📈
(Org: 215)
(1,927)
0.14 1,927
194 📈
(Org: 198)
(1,923)
0.02 1,923
195 📈
(Org: 202)
(1,906)
0.04 1,906
196 📈
(Org: 200)
(1,878)
0 1,878
197 📈
(Org: 207)
(1,846)
0.04 1,846
198 📈
(Org: 232)
(1,839)
0.2 1,839
199 📈
(Org: 259)
(1,828)
0.3 1,828
200 📈
(Org: 204)
(1,827)
0.01 1,827