101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1996 - 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: 106)
(3,954)
0.05 3,954
102 📈
(Org: 104)
(3,943)
0.02 3,943
103 📈
(Org: 110)
(3,927)
0.09 3,927
104 📉
(Org: 100)
(3,924)
- 3,924
105 📉
(Org: 102)
(3,912)
- 3,912
106 📉
(Org: 103)
(3,892)
0 3,892
107 📈
(Org: 112)
(3,827)
0.09 3,827
108 📈
(Org: 109)
(3,746)
0.04 3,746
109 📈
(Org: 135)
(3,734)
0.29 3,734
110 📉
(Org: 108)
(3,714)
0.01 3,714
111 📉
(Org: 107)
(3,691)
0 3,691
112 📈
(Org: 130)
(3,674)
0.23 3,674
113 ➡️
(Org: 113)
(3,485)
0.01 3,485
114 ➡️
(Org: 114)
(3,462)
0 3,462
115 📈
(Org: 120)
(3,393)
0.09 3,393
116 ➡️
(Org: 116)
(3,392)
0.01 3,392
117 ➡️
(Org: 117)
(3,308)
- 3,308
118 ➡️
(Org: 118)
(3,257)
0.01 3,257
119 ➡️
(Org: 119)
(3,205)
- 3,205
120 📈
(Org: 127)
(3,030)
0.04 3,030
121 📈
(Org: 125)
(3,026)
0.01 3,026
122 📈
(Org: 124)
(3,025)
0.01 3,025
123 ➡️
(Org: 123)
(3,017)
- 3,017
124 📈
(Org: 142)
(2,959)
0.17 2,959
125 📈
(Org: 128)
(2,934)
0.02 2,934
126 📈
(Org: 129)
(2,916)
0.02 2,916
127 📈
(Org: 133)
(2,890)
0.03 2,890
128 📈
(Org: 131)
(2,826)
0 2,826
129 📈
(Org: 132)
(2,812)
- 2,812
130 📈
(Org: 134)
(2,807)
0.01 2,807
131 📈
(Org: 136)
(2,791)
0.05 2,791
132 📈
(Org: 137)
(2,762)
0.05 2,762
133 📈
(Org: 139)
(2,578)
0.01 2,578
134 📈
(Org: 146)
(2,576)
0.07 2,576
135 📈
(Org: 140)
(2,527)
0 2,527
136 📈
(Org: 141)
(2,507)
- 2,507
137 📈
(Org: 143)
(2,447)
- 2,447
138 📈
(Org: 145)
(2,410)
- 2,410
139 📈
(Org: 149)
(2,394)
0.02 2,394
140 📈
(Org: 147)
(2,377)
- 2,377
141 📈
(Org: 148)
(2,359)
- 2,359
142 📈
(Org: 152)
(2,305)
0.01 2,305
143 📈
(Org: 154)
(2,298)
0.02 2,298
144 📈
(Org: 214)
(2,274)
0.38 2,274
145 📈
(Org: 153)
(2,253)
0 2,253
146 📈
(Org: 155)
(2,239)
- 2,239
147 📈
(Org: 156)
(2,229)
- 2,229
148 📈
(Org: 157)
(2,224)
0.02 2,224
149 📈
(Org: 217)
(2,221)
0.37 2,221
150 📈
(Org: 159)
(2,212)
0.01 2,212
151 📈
(Org: 161)
(2,208)
0.02 2,208
152 📈
(Org: 158)
(2,184)
- 2,184
153 📈
(Org: 168)
(2,177)
0.07 2,177
154 📈
(Org: 160)
(2,170)
- 2,170
155 📈
(Org: 163)
(2,153)
0.01 2,153
156 📈
(Org: 162)
(2,149)
- 2,149
157 📈
(Org: 182)
(2,119)
0.17 2,119
158 📈
(Org: 164)
(2,103)
- 2,103
159 📈
(Org: 165)
(2,100)
- 2,100
160 📈
(Org: 166)
(2,093)
- 2,093
161 📈
(Org: 167)
(2,072)
0.01 2,072
162 📈
(Org: 278)
(2,038)
0.51 2,038
163 📈
(Org: 191)
(2,022)
0.19 2,022
164 📈
(Org: 170)
(2,013)
0.01 2,013
165 📈
(Org: 174)
(1,992)
0.03 1,992
166 📈
(Org: 172)
(1,966)
- 1,966
167 📈
(Org: 173)
(1,964)
- 1,964
168 📈
(Org: 176)
(1,938)
0.01 1,938
169 📈
(Org: 190)
(1,937)
0.14 1,937
170 📈
(Org: 175)
(1,919)
- 1,919
171 📈
(Org: 177)
(1,906)
0 1,906
172 📈
(Org: 183)
(1,882)
0.07 1,882
173 📈
(Org: 178)
(1,881)
0 1,881
174 📈
(Org: 181)
(1,813)
0.01 1,813
175 📈
(Org: 180)
(1,812)
0.01 1,812
176 📈
(Org: 250)
(1,810)
0.35 1,810
177 📈
(Org: 179)
(1,797)
- 1,797
178 📈
(Org: 222)
(1,793)
0.24 1,793
179 📈
(Org: 184)
(1,748)
- 1,748
180 📈
(Org: 187)
(1,707)
- 1,707
181 📈
(Org: 193)
(1,692)
0.05 1,692
182 📈
(Org: 200)
(1,690)
0.08 1,690
183 📈
(Org: 215)
(1,689)
0.17 1,689
184 📈
(Org: 225)
(1,686)
0.2 1,686
185 📈
(Org: 194)
(1,673)
0.04 1,673
186 📈
(Org: 189)
(1,672)
- 1,672
186 📈
(Org: 202)
(1,672)
0.08 1,672
188 📈
(Org: 203)
(1,653)
0.07 1,653
189 📈
(Org: 192)
(1,641)
0 1,641
190 📈
(Org: 293)
(1,611)
0.44 1,611
191 📈
(Org: 195)
(1,602)
0.01 1,602
192 📈
(Org: 196)
(1,596)
0.01 1,596
193 📈
(Org: 223)
(1,590)
0.14 1,590
194 📈
(Org: 197)
(1,578)
0.01 1,578
195 📈
(Org: 198)
(1,566)
- 1,566
196 📈
(Org: 210)
(1,557)
0.05 1,557
197 📈
(Org: 205)
(1,553)
0.03 1,553
198 📈
(Org: 201)
(1,548)
0 1,548
199 📈
(Org: 208)
(1,545)
0.04 1,545
200 📈
(Org: 216)
(1,540)
0.09 1,540