101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1983 - 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)
(2,510)
- 2,510
102 📈
(Org: 109)
(2,497)
- 2,497
103 📈
(Org: 127)
(2,494)
0.16 2,494
104 📈
(Org: 110)
(2,487)
0.01 2,487
105 📈
(Org: 116)
(2,437)
0.03 2,437
106 📈
(Org: 119)
(2,433)
0.03 2,433
107 📈
(Org: 112)
(2,419)
- 2,419
108 📈
(Org: 114)
(2,418)
0.02 2,418
109 📈
(Org: 118)
(2,417)
0.02 2,417
110 📈
(Org: 113)
(2,407)
- 2,407
111 📈
(Org: 115)
(2,386)
0.01 2,386
112 📈
(Org: 129)
(2,291)
0.1 2,291
113 📈
(Org: 121)
(2,251)
0.03 2,251
114 📈
(Org: 120)
(2,247)
- 2,247
115 📈
(Org: 124)
(2,224)
0.03 2,224
116 📈
(Org: 132)
(2,209)
0.08 2,209
117 📈
(Org: 122)
(2,180)
0 2,180
118 📈
(Org: 123)
(2,155)
- 2,155
119 📈
(Org: 130)
(2,132)
0.04 2,132
120 📈
(Org: 131)
(2,111)
0.03 2,111
121 📈
(Org: 126)
(2,090)
- 2,090
122 📈
(Org: 166)
(2,081)
0.25 2,081
123 📈
(Org: 133)
(2,068)
0.02 2,068
124 📈
(Org: 151)
(2,037)
0.12 2,037
125 📈
(Org: 143)
(2,036)
0.08 2,036
126 📈
(Org: 135)
(2,001)
0.02 2,001
127 📈
(Org: 138)
(1,988)
0.04 1,988
128 📈
(Org: 144)
(1,979)
0.06 1,979
129 📈
(Org: 179)
(1,974)
0.27 1,974
130 📈
(Org: 153)
(1,962)
0.1 1,962
131 📈
(Org: 136)
(1,953)
- 1,953
132 📈
(Org: 139)
(1,942)
0.02 1,942
133 📈
(Org: 141)
(1,921)
0.01 1,921
134 📈
(Org: 155)
(1,908)
0.08 1,908
135 📈
(Org: 142)
(1,901)
0 1,901
136 📈
(Org: 147)
(1,891)
0.04 1,891
137 📈
(Org: 159)
(1,887)
0.09 1,887
138 📈
(Org: 173)
(1,881)
0.19 1,881
139 📈
(Org: 149)
(1,874)
0.03 1,874
140 📈
(Org: 162)
(1,873)
0.1 1,873
141 📈
(Org: 145)
(1,869)
- 1,869
142 📈
(Org: 195)
(1,860)
0.34 1,860
143 📈
(Org: 199)
(1,854)
0.36 1,854
144 📈
(Org: 150)
(1,822)
- 1,822
145 📈
(Org: 155)
(1,794)
0.02 1,794
146 📈
(Org: 174)
(1,792)
0.16 1,792
147 📈
(Org: 152)
(1,774)
- 1,774
148 📈
(Org: 154)
(1,767)
- 1,767
149 📈
(Org: 157)
(1,760)
0.01 1,760
150 📈
(Org: 158)
(1,756)
0.02 1,756
151 📈
(Org: 164)
(1,755)
0.09 1,755
152 📈
(Org: 165)
(1,749)
0.11 1,749
153 📈
(Org: 167)
(1,723)
0.1 1,723
154 📈
(Org: 228)
(1,703)
0.43 1,703
155 📈
(Org: 160)
(1,694)
- 1,694
156 📈
(Org: 163)
(1,646)
0.02 1,646
157 📈
(Org: 172)
(1,620)
0.06 1,620
158 📈
(Org: 188)
(1,588)
0.16 1,588
159 📈
(Org: 169)
(1,554)
0.01 1,554
160 📈
(Org: 167)
(1,550)
- 1,550
161 📈
(Org: 169)
(1,549)
0 1,549
162 📈
(Org: 222)
(1,543)
0.34 1,543
163 📈
(Org: 223)
(1,532)
0.34 1,532
164 📈
(Org: 171)
(1,528)
- 1,528
165 📈
(Org: 177)
(1,514)
0.04 1,514
166 📈
(Org: 180)
(1,494)
0.04 1,494
167 📈
(Org: 175)
(1,481)
0.01 1,481
168 📈
(Org: 176)
(1,471)
0.01 1,471
169 📈
(Org: 201)
(1,440)
0.18 1,440
169 📈
(Org: 178)
(1,440)
- 1,440
171 📈
(Org: 181)
(1,430)
0 1,430
172 📈
(Org: 199)
(1,401)
0.15 1,401
173 📈
(Org: 235)
(1,399)
0.32 1,399
174 📈
(Org: 216)
(1,384)
0.24 1,384
175 📈
(Org: 182)
(1,376)
- 1,376
176 📈
(Org: 183)
(1,375)
0 1,375
177 📈
(Org: 184)
(1,369)
- 1,369
178 📈
(Org: 186)
(1,353)
0.01 1,353
179 📈
(Org: 185)
(1,349)
- 1,349
180 📈
(Org: 187)
(1,344)
0.01 1,344
181 📈
(Org: 262)
(1,337)
0.41 1,337
182 📈
(Org: 234)
(1,311)
0.27 1,311
183 📈
(Org: 207)
(1,301)
0.12 1,301
184 📈
(Org: 190)
(1,288)
0.01 1,288
185 📈
(Org: 325)
(1,287)
0.55 1,287
186 📈
(Org: 192)
(1,285)
0.01 1,285
187 📈
(Org: 191)
(1,276)
- 1,276
188 📈
(Org: 193)
(1,274)
0 1,274
189 📈
(Org: 203)
(1,256)
0.07 1,256
190 📈
(Org: 194)
(1,254)
0.02 1,254
191 📈
(Org: 197)
(1,250)
0.04 1,250
192 📈
(Org: 196)
(1,222)
- 1,222
193 📈
(Org: 198)
(1,193)
- 1,193
194 📈
(Org: 204)
(1,188)
0.02 1,188
195 📈
(Org: 210)
(1,184)
0.07 1,184
196 📈
(Org: 206)
(1,179)
0.02 1,179
197 📈
(Org: 328)
(1,178)
0.51 1,178
198 📈
(Org: 202)
(1,172)
- 1,172
199 📈
(Org: 230)
(1,164)
0.16 1,164
200 📈
(Org: 208)
(1,162)
0.02 1,162