101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1981 - 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: 109)
(2,740)
0.01 2,740
102 📈
(Org: 111)
(2,733)
0.03 2,733
103 📈
(Org: 118)
(2,674)
0.12 2,674
104 📈
(Org: 113)
(2,614)
0.02 2,614
105 📈
(Org: 112)
(2,588)
- 2,588
106 📈
(Org: 129)
(2,526)
0.17 2,526
107 📈
(Org: 114)
(2,512)
- 2,512
108 📈
(Org: 119)
(2,492)
0.07 2,492
109 📈
(Org: 115)
(2,468)
- 2,468
110 📈
(Org: 117)
(2,448)
0.03 2,448
111 📈
(Org: 116)
(2,440)
0.02 2,440
112 📈
(Org: 125)
(2,415)
0.09 2,415
113 📈
(Org: 120)
(2,365)
0.05 2,365
114 📈
(Org: 137)
(2,296)
0.12 2,296
115 📈
(Org: 123)
(2,294)
0.03 2,294
116 📈
(Org: 124)
(2,238)
0.01 2,238
117 📈
(Org: 121)
(2,235)
- 2,235
118 📈
(Org: 126)
(2,198)
0.01 2,198
119 📈
(Org: 127)
(2,172)
0.01 2,172
120 📈
(Org: 181)
(2,152)
0.36 2,152
121 📈
(Org: 128)
(2,150)
0.02 2,150
122 📈
(Org: 130)
(2,145)
0.02 2,145
123 📈
(Org: 140)
(2,127)
0.07 2,127
124 📈
(Org: 170)
(2,122)
0.31 2,122
125 📈
(Org: 150)
(2,072)
0.11 2,072
126 📈
(Org: 131)
(2,063)
- 2,063
127 📈
(Org: 133)
(2,054)
- 2,054
128 📈
(Org: 144)
(2,044)
0.04 2,044
129 📈
(Org: 135)
(2,029)
- 2,029
130 📈
(Org: 141)
(2,009)
0.02 2,009
131 📈
(Org: 138)
(1,990)
- 1,990
132 📈
(Org: 188)
(1,976)
0.33 1,976
133 📈
(Org: 154)
(1,975)
0.11 1,975
134 📈
(Org: 139)
(1,972)
- 1,972
135 📈
(Org: 143)
(1,964)
0 1,964
136 📈
(Org: 142)
(1,962)
- 1,962
137 📈
(Org: 151)
(1,959)
0.08 1,959
138 📈
(Org: 145)
(1,942)
- 1,942
139 📈
(Org: 161)
(1,939)
0.13 1,939
140 📈
(Org: 147)
(1,927)
- 1,927
141 📈
(Org: 149)
(1,894)
0.02 1,894
142 📈
(Org: 148)
(1,873)
- 1,873
143 📈
(Org: 163)
(1,866)
0.12 1,866
144 📈
(Org: 155)
(1,865)
0.06 1,865
145 📈
(Org: 152)
(1,821)
0.01 1,821
146 📈
(Org: 167)
(1,812)
0.17 1,812
147 📈
(Org: 169)
(1,805)
0.18 1,805
148 📈
(Org: 153)
(1,798)
0.01 1,798
149 📈
(Org: 239)
(1,787)
0.47 1,787
150 📈
(Org: 156)
(1,751)
- 1,751
151 📈
(Org: 157)
(1,742)
0.01 1,742
152 📈
(Org: 221)
(1,716)
0.35 1,716
153 📈
(Org: 160)
(1,713)
0.02 1,713
154 📈
(Org: 159)
(1,702)
- 1,702
155 📈
(Org: 166)
(1,693)
0.05 1,693
156 📈
(Org: 164)
(1,634)
- 1,634
157 📈
(Org: 184)
(1,617)
0.16 1,617
158 📈
(Org: 202)
(1,606)
0.24 1,606
159 📈
(Org: 176)
(1,582)
0.1 1,582
160 📈
(Org: 228)
(1,563)
0.34 1,563
161 📈
(Org: 175)
(1,555)
0.08 1,555
162 📈
(Org: 193)
(1,541)
0.15 1,541
163 📈
(Org: 232)
(1,524)
0.34 1,524
164 📈
(Org: 172)
(1,519)
0.04 1,519
165 📈
(Org: 168)
(1,509)
0.01 1,509
166 📈
(Org: 173)
(1,498)
0.03 1,498
167 📈
(Org: 224)
(1,490)
0.28 1,490
168 📈
(Org: 171)
(1,471)
0 1,471
169 📈
(Org: 174)
(1,445)
0.01 1,445
170 📈
(Org: 204)
(1,440)
0.16 1,440
171 📈
(Org: 214)
(1,419)
0.18 1,419
172 📈
(Org: 191)
(1,412)
0.07 1,412
173 📈
(Org: 177)
(1,410)
- 1,410
173 📈
(Org: 177)
(1,410)
- 1,410
175 📈
(Org: 179)
(1,409)
- 1,409
176 📈
(Org: 180)
(1,407)
0 1,407
177 📈
(Org: 182)
(1,395)
0.02 1,395
178 📈
(Org: 183)
(1,388)
0.02 1,388
179 📈
(Org: 206)
(1,376)
0.12 1,376
180 📈
(Org: 189)
(1,373)
0.03 1,373
181 📈
(Org: 233)
(1,361)
0.26 1,361
182 📈
(Org: 186)
(1,357)
0.01 1,357
182 📈
(Org: 185)
(1,357)
0.01 1,357
184 📈
(Org: 231)
(1,350)
0.25 1,350
185 📈
(Org: 190)
(1,340)
0.02 1,340
186 📈
(Org: 187)
(1,334)
- 1,334
187 📈
(Org: 195)
(1,329)
0.04 1,329
188 📈
(Org: 209)
(1,315)
0.1 1,315
189 📈
(Org: 192)
(1,314)
0.01 1,314
190 📈
(Org: 194)
(1,300)
- 1,300
191 📈
(Org: 229)
(1,283)
0.2 1,283
192 📈
(Org: 208)
(1,265)
0.06 1,265
193 📈
(Org: 203)
(1,252)
0.02 1,252
194 📈
(Org: 197)
(1,248)
- 1,248
194 📈
(Org: 200)
(1,248)
0.01 1,248
194 📈
(Org: 199)
(1,248)
0.01 1,248
197 📈
(Org: 213)
(1,229)
0.05 1,229
198 📈
(Org: 201)
(1,228)
- 1,228
199 📈
(Org: 244)
(1,227)
0.26 1,227
200 📈
(Org: 207)
(1,226)
0.02 1,226