101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1995 - 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
100 📉
(Org: 96)
(3,911)
- 3,911
102 📉
(Org: 99)
(3,837)
0 3,837
103 📈
(Org: 104)
(3,788)
0.04 3,788
104 📉
(Org: 101)
(3,734)
- 3,734
105 📉
(Org: 102)
(3,677)
0.01 3,677
106 📈
(Org: 127)
(3,597)
0.21 3,597
107 📈
(Org: 110)
(3,574)
0.03 3,574
108 📉
(Org: 107)
(3,538)
0 3,538
109 📉
(Org: 108)
(3,515)
0 3,515
110 📈
(Org: 138)
(3,507)
0.29 3,507
111 📈
(Org: 112)
(3,420)
- 3,420
112 📈
(Org: 118)
(3,380)
0.07 3,380
113 ➡️
(Org: 113)
(3,378)
0.02 3,378
114 ➡️
(Org: 114)
(3,333)
0.01 3,333
115 ➡️
(Org: 115)
(3,318)
0.01 3,318
116 📈
(Org: 119)
(3,229)
0.04 3,229
117 📉
(Org: 116)
(3,206)
- 3,206
118 📈
(Org: 121)
(3,187)
0.03 3,187
119 📉
(Org: 117)
(3,151)
- 3,151
120 ➡️
(Org: 120)
(3,118)
0.01 3,118
121 📈
(Org: 135)
(3,056)
0.14 3,056
122 📈
(Org: 129)
(2,981)
0.06 2,981
123 📈
(Org: 125)
(2,951)
0.02 2,951
124 📈
(Org: 126)
(2,928)
0.02 2,928
125 📉
(Org: 124)
(2,926)
0 2,926
126 📈
(Org: 128)
(2,842)
0.01 2,842
127 📈
(Org: 131)
(2,841)
0.05 2,841
128 📈
(Org: 130)
(2,756)
0.01 2,756
129 📈
(Org: 132)
(2,747)
0.02 2,747
130 📈
(Org: 145)
(2,738)
0.12 2,738
131 📈
(Org: 133)
(2,691)
- 2,691
132 📈
(Org: 136)
(2,557)
0.01 2,557
133 📈
(Org: 139)
(2,513)
0 2,513
134 📈
(Org: 142)
(2,480)
0.01 2,480
135 📈
(Org: 144)
(2,478)
0.02 2,478
136 📈
(Org: 140)
(2,470)
- 2,470
137 📈
(Org: 147)
(2,434)
0.02 2,434
138 📈
(Org: 151)
(2,408)
0.02 2,408
139 📈
(Org: 146)
(2,402)
- 2,402
140 📈
(Org: 148)
(2,400)
0 2,400
141 📈
(Org: 149)
(2,390)
- 2,390
142 📈
(Org: 150)
(2,366)
- 2,366
143 📈
(Org: 152)
(2,320)
- 2,320
144 📈
(Org: 221)
(2,317)
0.42 2,317
145 📈
(Org: 153)
(2,293)
- 2,293
146 📈
(Org: 154)
(2,288)
0.01 2,288
147 📈
(Org: 169)
(2,281)
0.15 2,281
148 📈
(Org: 158)
(2,272)
0.01 2,272
149 📈
(Org: 156)
(2,261)
0 2,261
150 📈
(Org: 161)
(2,253)
0.04 2,253
151 📈
(Org: 157)
(2,252)
0 2,252
151 📈
(Org: 155)
(2,252)
- 2,252
153 📈
(Org: 160)
(2,180)
- 2,180
154 📈
(Org: 183)
(2,165)
0.21 2,165
155 📈
(Org: 162)
(2,144)
- 2,144
156 📈
(Org: 223)
(2,120)
0.37 2,120
157 📈
(Org: 213)
(2,067)
0.33 2,067
158 📈
(Org: 163)
(2,054)
- 2,054
159 📈
(Org: 170)
(2,043)
0.06 2,043
160 📈
(Org: 172)
(2,042)
0.07 2,042
161 📈
(Org: 165)
(2,009)
0 2,009
162 📈
(Org: 168)
(1,970)
0.01 1,970
162 📈
(Org: 184)
(1,970)
0.14 1,970
164 📈
(Org: 167)
(1,949)
- 1,949
165 📈
(Org: 171)
(1,914)
- 1,914
166 📈
(Org: 174)
(1,906)
0.01 1,906
167 📈
(Org: 173)
(1,900)
0.01 1,900
168 📈
(Org: 177)
(1,880)
0.01 1,880
169 📈
(Org: 175)
(1,877)
- 1,877
170 📈
(Org: 176)
(1,872)
- 1,872
171 📈
(Org: 178)
(1,842)
0 1,842
172 📈
(Org: 181)
(1,829)
0.06 1,829
173 📈
(Org: 185)
(1,813)
0.07 1,813
174 📈
(Org: 179)
(1,811)
0.03 1,811
175 📈
(Org: 186)
(1,808)
0.07 1,808
176 📈
(Org: 211)
(1,781)
0.22 1,781
177 📈
(Org: 209)
(1,761)
0.2 1,761
178 📈
(Org: 205)
(1,743)
0.16 1,743
179 📈
(Org: 182)
(1,715)
- 1,715
180 📈
(Org: 188)
(1,695)
0.01 1,695
181 📈
(Org: 187)
(1,686)
- 1,686
182 📈
(Org: 189)
(1,673)
0.03 1,673
183 📈
(Org: 196)
(1,640)
0.05 1,640
184 📈
(Org: 190)
(1,625)
- 1,625
185 📈
(Org: 203)
(1,617)
0.07 1,617
185 📈
(Org: 195)
(1,617)
0.03 1,617
187 📈
(Org: 237)
(1,606)
0.24 1,606
188 📈
(Org: 193)
(1,593)
0 1,593
189 📈
(Org: 193)
(1,586)
- 1,586
190 📈
(Org: 219)
(1,582)
0.14 1,582
191 📈
(Org: 322)
(1,571)
0.48 1,571
192 📈
(Org: 200)
(1,560)
0.03 1,560
193 📈
(Org: 197)
(1,550)
- 1,550
194 📈
(Org: 199)
(1,529)
- 1,529
195 📈
(Org: 201)
(1,528)
0.01 1,528
195 📈
(Org: 202)
(1,528)
0.01 1,528
197 📈
(Org: 231)
(1,519)
0.15 1,519
198 📈
(Org: 251)
(1,516)
0.26 1,516
199 📈
(Org: 246)
(1,502)
0.22 1,502
200 📈
(Org: 218)
(1,469)
0.07 1,469