101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1992 - 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: 104)
(3,596)
0 3,596
102 📈
(Org: 111)
(3,460)
0.06 3,460
103 📈
(Org: 108)
(3,424)
0.02 3,424
104 📈
(Org: 137)
(3,342)
0.27 3,342
105 📈
(Org: 109)
(3,326)
0.01 3,326
106 📈
(Org: 110)
(3,266)
- 3,266
107 📈
(Org: 112)
(3,222)
- 3,222
108 📈
(Org: 113)
(3,192)
0.01 3,192
109 📈
(Org: 116)
(3,168)
0.05 3,168
110 📈
(Org: 123)
(3,109)
0.11 3,109
111 📈
(Org: 115)
(3,091)
0.02 3,091
112 📈
(Org: 133)
(3,085)
0.17 3,085
113 📈
(Org: 114)
(3,049)
- 3,049
114 📈
(Org: 117)
(3,018)
0.03 3,018
115 📈
(Org: 118)
(2,963)
0.01 2,963
116 📈
(Org: 121)
(2,950)
0.02 2,950
117 📈
(Org: 119)
(2,928)
- 2,928
118 📈
(Org: 123)
(2,896)
0.04 2,896
119 📈
(Org: 142)
(2,817)
0.18 2,817
120 📈
(Org: 125)
(2,761)
0 2,761
121 📈
(Org: 126)
(2,670)
0.01 2,670
122 📈
(Org: 128)
(2,627)
- 2,627
123 📈
(Org: 130)
(2,613)
0.01 2,613
124 📈
(Org: 129)
(2,607)
- 2,607
125 📈
(Org: 181)
(2,599)
0.31 2,599
126 📈
(Org: 133)
(2,597)
0.02 2,597
127 📈
(Org: 131)
(2,585)
- 2,585
128 📈
(Org: 132)
(2,561)
- 2,561
129 📈
(Org: 135)
(2,540)
- 2,540
130 📈
(Org: 143)
(2,461)
0.06 2,461
131 📈
(Org: 139)
(2,408)
0.01 2,408
132 📈
(Org: 140)
(2,391)
- 2,391
133 📈
(Org: 141)
(2,361)
0.01 2,361
134 📈
(Org: 164)
(2,348)
0.18 2,348
135 📈
(Org: 144)
(2,318)
0.01 2,318
136 📈
(Org: 146)
(2,299)
0 2,299
137 📈
(Org: 145)
(2,298)
- 2,298
138 📈
(Org: 150)
(2,296)
0.06 2,296
139 📈
(Org: 147)
(2,243)
- 2,243
140 📈
(Org: 149)
(2,234)
0.02 2,234
141 📈
(Org: 154)
(2,221)
0.07 2,221
142 📈
(Org: 148)
(2,207)
- 2,207
143 📈
(Org: 153)
(2,196)
0.05 2,196
144 📈
(Org: 154)
(2,175)
0.05 2,175
145 📈
(Org: 175)
(2,142)
0.15 2,142
146 📈
(Org: 151)
(2,133)
- 2,133
147 📈
(Org: 152)
(2,132)
- 2,132
148 📈
(Org: 178)
(2,116)
0.15 2,116
149 📈
(Org: 191)
(2,102)
0.23 2,102
150 📈
(Org: 180)
(2,044)
0.13 2,044
151 📈
(Org: 156)
(2,042)
0.01 2,042
152 📈
(Org: 159)
(2,034)
0.01 2,034
153 📈
(Org: 156)
(2,018)
- 2,018
154 📈
(Org: 163)
(2,013)
0.04 2,013
155 📈
(Org: 158)
(2,012)
- 2,012
156 📈
(Org: 160)
(1,973)
0.01 1,973
157 📈
(Org: 170)
(1,969)
0.05 1,969
158 📈
(Org: 261)
(1,962)
0.45 1,962
159 📈
(Org: 162)
(1,951)
0.01 1,951
160 📈
(Org: 168)
(1,946)
0.02 1,946
161 📈
(Org: 166)
(1,945)
0.02 1,945
162 📉
(Org: 161)
(1,938)
- 1,938
163 📈
(Org: 165)
(1,919)
- 1,919
164 📈
(Org: 167)
(1,912)
- 1,912
165 📈
(Org: 171)
(1,894)
0.01 1,894
166 📈
(Org: 169)
(1,880)
- 1,880
167 📈
(Org: 173)
(1,874)
0.01 1,874
168 📈
(Org: 172)
(1,866)
- 1,866
169 📈
(Org: 208)
(1,853)
0.2 1,853
170 📈
(Org: 197)
(1,850)
0.15 1,850
171 📈
(Org: 212)
(1,846)
0.22 1,846
171 📈
(Org: 183)
(1,846)
0.04 1,846
173 📈
(Org: 200)
(1,839)
0.15 1,839
174 📈
(Org: 177)
(1,808)
- 1,808
175 📈
(Org: 193)
(1,786)
0.1 1,786
176 📈
(Org: 182)
(1,779)
- 1,779
177 📈
(Org: 258)
(1,772)
0.38 1,772
178 📈
(Org: 185)
(1,767)
0.03 1,767
179 📈
(Org: 192)
(1,735)
0.07 1,735
180 📈
(Org: 194)
(1,717)
0.06 1,717
181 📈
(Org: 186)
(1,710)
- 1,710
182 📈
(Org: 272)
(1,706)
0.39 1,706
183 📈
(Org: 206)
(1,686)
0.11 1,686
184 📈
(Org: 188)
(1,670)
- 1,670
185 📈
(Org: 190)
(1,658)
0.02 1,658
186 📈
(Org: 197)
(1,621)
0.03 1,621
187 📈
(Org: 195)
(1,619)
0.01 1,619
188 📈
(Org: 283)
(1,603)
0.36 1,603
188 📈
(Org: 196)
(1,603)
0 1,603
190 📈
(Org: 199)
(1,565)
- 1,565
191 📈
(Org: 241)
(1,561)
0.23 1,561
192 📈
(Org: 203)
(1,549)
0.02 1,549
193 📈
(Org: 201)
(1,542)
- 1,542
193 📈
(Org: 204)
(1,542)
0.02 1,542
195 📈
(Org: 202)
(1,528)
- 1,528
196 📈
(Org: 207)
(1,513)
0.02 1,513
197 📈
(Org: 205)
(1,506)
- 1,506
198 📈
(Org: 214)
(1,501)
0.04 1,501
199 📈
(Org: 211)
(1,500)
0.02 1,500
200 📈
(Org: 271)
(1,492)
0.29 1,492