101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1986 - 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: 108)
(2,625)
0 2,625
102 📈
(Org: 111)
(2,605)
0.01 2,605
103 📈
(Org: 109)
(2,597)
- 2,597
104 📈
(Org: 110)
(2,585)
- 2,585
105 📈
(Org: 144)
(2,538)
0.23 2,538
106 📈
(Org: 116)
(2,488)
0.03 2,488
107 📈
(Org: 112)
(2,486)
0 2,486
108 📈
(Org: 113)
(2,468)
0.01 2,468
109 📈
(Org: 120)
(2,456)
0.04 2,456
110 📈
(Org: 149)
(2,446)
0.25 2,446
111 📈
(Org: 119)
(2,401)
0.01 2,401
112 📈
(Org: 126)
(2,391)
0.08 2,391
113 📈
(Org: 118)
(2,381)
- 2,381
114 📈
(Org: 158)
(2,378)
0.29 2,378
115 📈
(Org: 121)
(2,340)
0.03 2,340
116 📈
(Org: 131)
(2,310)
0.09 2,310
117 📈
(Org: 124)
(2,293)
0.03 2,293
118 📈
(Org: 125)
(2,268)
0.03 2,268
119 📈
(Org: 122)
(2,262)
0 2,262
120 📈
(Org: 123)
(2,249)
- 2,249
121 📈
(Org: 127)
(2,210)
0.01 2,210
122 📈
(Org: 150)
(2,171)
0.16 2,171
123 📈
(Org: 130)
(2,164)
0.03 2,164
124 📈
(Org: 148)
(2,144)
0.12 2,144
125 📈
(Org: 135)
(2,135)
0.04 2,135
126 📈
(Org: 128)
(2,120)
- 2,120
127 📈
(Org: 134)
(2,094)
0.02 2,094
128 📈
(Org: 136)
(2,056)
0.01 2,056
129 📈
(Org: 133)
(2,053)
- 2,053
130 📈
(Org: 142)
(2,030)
0.03 2,030
131 📈
(Org: 139)
(2,007)
0.01 2,007
132 📈
(Org: 138)
(2,000)
- 2,000
133 📈
(Org: 145)
(1,995)
0.03 1,995
134 📈
(Org: 146)
(1,988)
0.04 1,988
135 📈
(Org: 151)
(1,961)
0.09 1,961
135 📈
(Org: 143)
(1,961)
- 1,961
137 📈
(Org: 147)
(1,955)
0.02 1,955
138 📈
(Org: 155)
(1,933)
0.1 1,933
139 📈
(Org: 219)
(1,836)
0.41 1,836
140 📈
(Org: 159)
(1,832)
0.08 1,832
141 📈
(Org: 187)
(1,796)
0.24 1,796
142 📈
(Org: 152)
(1,782)
0 1,782
143 📈
(Org: 162)
(1,752)
0.05 1,752
144 📈
(Org: 154)
(1,749)
- 1,749
145 📈
(Org: 176)
(1,745)
0.13 1,745
146 📈
(Org: 211)
(1,744)
0.34 1,744
147 📈
(Org: 186)
(1,740)
0.21 1,740
148 📈
(Org: 159)
(1,737)
0.03 1,737
148 📈
(Org: 164)
(1,737)
0.05 1,737
150 📈
(Org: 168)
(1,723)
0.08 1,723
151 📈
(Org: 156)
(1,715)
- 1,715
152 📈
(Org: 198)
(1,714)
0.26 1,714
153 📈
(Org: 157)
(1,709)
- 1,709
154 📈
(Org: 167)
(1,685)
0.05 1,685
154 📈
(Org: 161)
(1,685)
0.01 1,685
156 📈
(Org: 182)
(1,675)
0.12 1,675
157 📈
(Org: 163)
(1,651)
- 1,651
158 📈
(Org: 165)
(1,647)
0.01 1,647
159 📈
(Org: 166)
(1,629)
- 1,629
160 📈
(Org: 222)
(1,628)
0.35 1,628
161 📈
(Org: 175)
(1,618)
0.06 1,618
162 📈
(Org: 196)
(1,616)
0.19 1,616
163 📈
(Org: 183)
(1,603)
0.09 1,603
164 📈
(Org: 203)
(1,595)
0.24 1,595
165 📈
(Org: 169)
(1,581)
0.01 1,581
166 📈
(Org: 170)
(1,577)
0 1,577
167 📈
(Org: 172)
(1,558)
0.01 1,558
168 📈
(Org: 173)
(1,557)
0.01 1,557
169 📈
(Org: 171)
(1,553)
- 1,553
170 📈
(Org: 174)
(1,541)
0.01 1,541
171 📈
(Org: 178)
(1,533)
0.03 1,533
172 📈
(Org: 201)
(1,522)
0.2 1,522
173 📈
(Org: 180)
(1,493)
0.01 1,493
174 📈
(Org: 179)
(1,484)
- 1,484
175 📈
(Org: 181)
(1,472)
- 1,472
176 📈
(Org: 236)
(1,445)
0.32 1,445
177 📈
(Org: 242)
(1,442)
0.35 1,442
178 📈
(Org: 184)
(1,435)
0.01 1,435
179 📈
(Org: 185)
(1,401)
- 1,401
180 📈
(Org: 188)
(1,350)
- 1,350
181 📈
(Org: 189)
(1,348)
- 1,348
182 📈
(Org: 190)
(1,344)
- 1,344
183 📈
(Org: 191)
(1,343)
- 1,343
184 📈
(Org: 195)
(1,334)
0.02 1,334
185 📈
(Org: 192)
(1,329)
- 1,329
186 📈
(Org: 210)
(1,323)
0.12 1,323
186 📈
(Org: 193)
(1,323)
- 1,323
188 📈
(Org: 194)
(1,320)
0.01 1,320
189 📈
(Org: 197)
(1,294)
0.01 1,294
190 📈
(Org: 200)
(1,268)
0.01 1,268
191 📈
(Org: 224)
(1,244)
0.15 1,244
192 📈
(Org: 205)
(1,216)
0.02 1,216
193 📈
(Org: 202)
(1,214)
- 1,214
194 📈
(Org: 204)
(1,206)
- 1,206
195 📈
(Org: 269)
(1,205)
0.33 1,205
196 📈
(Org: 233)
(1,202)
0.16 1,202
197 📈
(Org: 218)
(1,199)
0.09 1,199
198 📈
(Org: 265)
(1,194)
0.31 1,194
199 📈
(Org: 221)
(1,191)
0.1 1,191
199 📈
(Org: 213)
(1,191)
0.05 1,191