101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2004 - 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)
(4,481)
0 4,481
102 📉
(Org: 100)
(4,464)
0.01 4,464
103 📉
(Org: 99)
(4,461)
0 4,461
104 📈
(Org: 157)
(4,406)
0.42 4,406
105 📈
(Org: 108)
(4,349)
0.07 4,349
106 📉
(Org: 102)
(4,289)
- 4,289
107 📈
(Org: 114)
(4,260)
0.13 4,260
108 📉
(Org: 103)
(4,248)
0.02 4,248
109 📈
(Org: 110)
(4,080)
0.04 4,080
110 📈
(Org: 111)
(4,006)
0.03 4,006
111 📉
(Org: 109)
(3,962)
0.01 3,962
112 📈
(Org: 163)
(3,931)
0.37 3,931
113 📉
(Org: 112)
(3,847)
0.01 3,847
114 📈
(Org: 190)
(3,821)
0.47 3,821
115 📈
(Org: 135)
(3,816)
0.23 3,816
116 📈
(Org: 149)
(3,663)
0.26 3,663
117 📈
(Org: 139)
(3,645)
0.22 3,645
118 📉
(Org: 115)
(3,634)
0.04 3,634
119 📉
(Org: 116)
(3,480)
- 3,480
120 ➡️
(Org: 120)
(3,477)
0.02 3,477
121 📉
(Org: 117)
(3,467)
0 3,467
122 📉
(Org: 118)
(3,459)
0.01 3,459
123 📉
(Org: 119)
(3,441)
0 3,441
124 📉
(Org: 123)
(3,423)
0.02 3,423
125 📉
(Org: 122)
(3,414)
0.01 3,414
126 📈
(Org: 128)
(3,348)
0.05 3,348
127 📉
(Org: 124)
(3,281)
0.01 3,281
128 📉
(Org: 125)
(3,232)
- 3,232
129 📉
(Org: 126)
(3,201)
- 3,201
130 📉
(Org: 127)
(3,188)
- 3,188
131 📉
(Org: 129)
(3,154)
- 3,154
132 📈
(Org: 133)
(3,120)
0.02 3,120
133 📈
(Org: 145)
(3,089)
0.11 3,089
134 📉
(Org: 132)
(3,067)
0 3,067
135 📉
(Org: 131)
(3,063)
- 3,063
136 📈
(Org: 137)
(3,037)
0.04 3,037
137 📈
(Org: 211)
(2,949)
0.43 2,949
138 📉
(Org: 136)
(2,940)
0 2,940
139 📈
(Org: 141)
(2,814)
- 2,814
140 📈
(Org: 142)
(2,808)
0 2,808
141 📈
(Org: 144)
(2,805)
0.01 2,805
142 📈
(Org: 143)
(2,803)
0 2,803
143 📈
(Org: 147)
(2,800)
0.03 2,800
144 📈
(Org: 146)
(2,774)
0.01 2,774
145 📈
(Org: 156)
(2,749)
0.07 2,749
146 📈
(Org: 148)
(2,731)
0 2,731
147 📈
(Org: 150)
(2,719)
- 2,719
148 📈
(Org: 151)
(2,704)
0.01 2,704
149 📈
(Org: 185)
(2,700)
0.23 2,700
150 📈
(Org: 165)
(2,675)
0.07 2,675
151 📈
(Org: 161)
(2,661)
0.06 2,661
152 📈
(Org: 220)
(2,656)
0.4 2,656
153 📈
(Org: 154)
(2,647)
0.01 2,647
154 📉
(Org: 152)
(2,646)
- 2,646
155 ➡️
(Org: 155)
(2,578)
- 2,578
156 📈
(Org: 158)
(2,570)
0.01 2,570
157 📈
(Org: 181)
(2,563)
0.14 2,563
158 📈
(Org: 164)
(2,556)
0.03 2,556
159 📈
(Org: 179)
(2,549)
0.12 2,549
160 📉
(Org: 159)
(2,541)
0 2,541
161 📈
(Org: 167)
(2,521)
0.03 2,521
162 📈
(Org: 176)
(2,490)
0.07 2,490
163 📉
(Org: 161)
(2,489)
- 2,489
164 📈
(Org: 247)
(2,471)
0.46 2,471
165 📈
(Org: 166)
(2,468)
0 2,468
166 📈
(Org: 174)
(2,437)
0.04 2,437
167 📈
(Org: 259)
(2,420)
0.47 2,420
168 ➡️
(Org: 168)
(2,410)
- 2,410
169 📈
(Org: 175)
(2,408)
0.03 2,408
170 ➡️
(Org: 170)
(2,394)
- 2,394
171 ➡️
(Org: 171)
(2,385)
- 2,385
172 📈
(Org: 173)
(2,382)
0.01 2,382
173 📈
(Org: 229)
(2,355)
0.37 2,355
174 📈
(Org: 200)
(2,323)
0.18 2,323
175 📈
(Org: 187)
(2,313)
0.11 2,313
176 📈
(Org: 177)
(2,305)
0 2,305
177 📈
(Org: 178)
(2,268)
0 2,268
178 📈
(Org: 184)
(2,236)
0.06 2,236
179 📈
(Org: 210)
(2,183)
0.21 2,183
180 📈
(Org: 193)
(2,136)
0.07 2,136
181 📈
(Org: 191)
(2,111)
0.05 2,111
182 📈
(Org: 234)
(2,100)
0.32 2,100
183 📈
(Org: 186)
(2,059)
- 2,059
184 📈
(Org: 187)
(2,055)
- 2,055
185 📈
(Org: 189)
(2,032)
- 2,032
186 📈
(Org: 253)
(2,017)
0.35 2,017
187 📈
(Org: 192)
(2,004)
- 2,004
188 📈
(Org: 198)
(1,999)
0.04 1,999
189 📈
(Org: 194)
(1,996)
0.01 1,996
190 📈
(Org: 312)
(1,986)
0.49 1,986
191 📈
(Org: 195)
(1,963)
- 1,963
192 📈
(Org: 201)
(1,933)
0.01 1,933
193 📈
(Org: 199)
(1,917)
- 1,917
194 📈
(Org: 203)
(1,892)
0.02 1,892
195 📈
(Org: 224)
(1,879)
0.18 1,879
196 📈
(Org: 202)
(1,875)
- 1,875
197 📈
(Org: 218)
(1,873)
0.15 1,873
198 📈
(Org: 231)
(1,838)
0.21 1,838
199 📈
(Org: 257)
(1,824)
0.29 1,824
200 📈
(Org: 207)
(1,803)
0.02 1,803