101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2002 - 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: 94)
(4,190)
- 4,190
102 📈
(Org: 132)
(4,087)
0.27 4,087
103 📈
(Org: 163)
(4,038)
0.42 4,038
104 📈
(Org: 125)
(4,025)
0.23 4,025
105 📉
(Org: 98)
(3,991)
0 3,991
106 📈
(Org: 128)
(3,955)
0.23 3,955
107 📉
(Org: 100)
(3,935)
- 3,935
108 📉
(Org: 105)
(3,896)
0.08 3,896
109 📉
(Org: 103)
(3,894)
0.04 3,894
110 📉
(Org: 102)
(3,810)
0 3,810
111 📈
(Org: 181)
(3,775)
0.44 3,775
112 📈
(Org: 135)
(3,705)
0.24 3,705
113 📉
(Org: 104)
(3,681)
0 3,681
114 📉
(Org: 107)
(3,613)
0.03 3,613
115 📉
(Org: 108)
(3,581)
0.03 3,581
116 📉
(Org: 106)
(3,544)
- 3,544
117 📉
(Org: 110)
(3,512)
0.02 3,512
118 📉
(Org: 109)
(3,473)
0 3,473
119 📈
(Org: 146)
(3,463)
0.22 3,463
120 📉
(Org: 111)
(3,446)
- 3,446
121 📉
(Org: 113)
(3,392)
0 3,392
122 📉
(Org: 115)
(3,375)
0.01 3,375
123 📉
(Org: 117)
(3,357)
0.02 3,357
124 📈
(Org: 142)
(3,310)
0.18 3,310
125 📉
(Org: 120)
(3,302)
0.02 3,302
126 📉
(Org: 121)
(3,271)
0.01 3,271
127 📉
(Org: 118)
(3,263)
- 3,263
128 📈
(Org: 130)
(3,255)
0.07 3,255
129 📉
(Org: 119)
(3,244)
- 3,244
130 📉
(Org: 123)
(3,241)
0.02 3,241
131 📉
(Org: 122)
(3,228)
0.01 3,228
132 📉
(Org: 124)
(3,141)
- 3,141
133 📉
(Org: 126)
(3,099)
- 3,099
134 📉
(Org: 127)
(3,077)
- 3,077
135 📈
(Org: 205)
(3,076)
0.43 3,076
136 📉
(Org: 131)
(3,059)
0.01 3,059
137 📈
(Org: 140)
(3,057)
0.1 3,057
138 📉
(Org: 129)
(3,055)
0.01 3,055
139 📉
(Org: 133)
(2,957)
- 2,957
140 📉
(Org: 134)
(2,885)
0 2,885
141 📈
(Org: 149)
(2,861)
0.08 2,861
142 📈
(Org: 226)
(2,860)
0.46 2,860
143 📉
(Org: 136)
(2,816)
- 2,816
144 📉
(Org: 141)
(2,811)
0.02 2,811
145 📉
(Org: 143)
(2,740)
0.01 2,740
146 📉
(Org: 144)
(2,702)
- 2,702
147 ➡️
(Org: 147)
(2,698)
0.01 2,698
148 📈
(Org: 151)
(2,637)
0.01 2,637
149 📈
(Org: 150)
(2,630)
0 2,630
150 📈
(Org: 244)
(2,609)
0.47 2,609
151 📈
(Org: 154)
(2,581)
0 2,581
152 📈
(Org: 155)
(2,515)
- 2,515
153 📈
(Org: 160)
(2,491)
0.04 2,491
154 📈
(Org: 208)
(2,450)
0.3 2,450
155 📈
(Org: 157)
(2,439)
- 2,439
156 📈
(Org: 158)
(2,436)
- 2,436
157 📈
(Org: 159)
(2,423)
- 2,423
157 📈
(Org: 161)
(2,423)
0.02 2,423
159 📈
(Org: 162)
(2,398)
0.01 2,398
160 📈
(Org: 166)
(2,392)
0.03 2,392
160 📈
(Org: 222)
(2,392)
0.35 2,392
162 📈
(Org: 239)
(2,386)
0.41 2,386
163 📈
(Org: 173)
(2,380)
0.07 2,380
164 ➡️
(Org: 164)
(2,367)
0.01 2,367
165 📈
(Org: 177)
(2,356)
0.08 2,356
166 📉
(Org: 165)
(2,326)
- 2,326
167 ➡️
(Org: 167)
(2,325)
0.01 2,325
168 📈
(Org: 169)
(2,305)
0.01 2,305
169 📈
(Org: 170)
(2,265)
- 2,265
170 📈
(Org: 178)
(2,241)
0.04 2,241
171 📈
(Org: 190)
(2,234)
0.12 2,234
172 ➡️
(Org: 172)
(2,232)
- 2,232
173 📈
(Org: 182)
(2,222)
0.08 2,222
174 📈
(Org: 175)
(2,195)
- 2,195
175 📈
(Org: 176)
(2,192)
0 2,192
176 📈
(Org: 179)
(2,165)
0.01 2,165
177 📈
(Org: 180)
(2,119)
- 2,119
178 📈
(Org: 186)
(2,117)
0.04 2,117
179 📈
(Org: 184)
(2,112)
0.04 2,112
180 📈
(Org: 193)
(2,077)
0.06 2,077
181 📈
(Org: 189)
(2,057)
0.04 2,057
181 📈
(Org: 198)
(2,057)
0.09 2,057
183 📈
(Org: 190)
(2,052)
0.04 2,052
184 📈
(Org: 185)
(2,051)
0.01 2,051
185 📈
(Org: 187)
(2,032)
0.01 2,032
186 📈
(Org: 192)
(1,996)
0.02 1,996
187 📈
(Org: 188)
(1,995)
- 1,995
188 📈
(Org: 193)
(1,970)
0.01 1,970
188 📈
(Org: 196)
(1,970)
0.02 1,970
190 📈
(Org: 204)
(1,953)
0.08 1,953
191 📈
(Org: 195)
(1,942)
- 1,942
192 📈
(Org: 210)
(1,923)
0.13 1,923
192 📈
(Org: 222)
(1,923)
0.19 1,923
194 📈
(Org: 259)
(1,891)
0.34 1,891
195 📈
(Org: 214)
(1,878)
0.14 1,878
196 📈
(Org: 199)
(1,866)
- 1,866
197 📈
(Org: 200)
(1,853)
- 1,853
198 📈
(Org: 203)
(1,842)
0 1,842
199 📈
(Org: 202)
(1,841)
- 1,841
200 📈
(Org: 219)
(1,840)
0.15 1,840