101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1979 - 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)
(2,579)
0.02 2,579
102 📈
(Org: 111)
(2,506)
0.02 2,506
103 📈
(Org: 110)
(2,480)
0 2,480
104 📈
(Org: 122)
(2,474)
0.09 2,474
105 📈
(Org: 163)
(2,408)
0.37 2,408
106 📈
(Org: 112)
(2,365)
- 2,365
107 📈
(Org: 113)
(2,364)
- 2,364
108 📈
(Org: 159)
(2,360)
0.31 2,360
109 📈
(Org: 115)
(2,356)
0.01 2,356
110 📈
(Org: 121)
(2,327)
0.03 2,327
111 📈
(Org: 116)
(2,323)
- 2,323
112 📈
(Org: 117)
(2,299)
- 2,299
113 📈
(Org: 135)
(2,264)
0.11 2,264
113 📈
(Org: 120)
(2,264)
- 2,264
115 📈
(Org: 125)
(2,194)
0.02 2,194
116 📈
(Org: 165)
(2,170)
0.32 2,170
117 📈
(Org: 132)
(2,164)
0.06 2,164
118 📈
(Org: 126)
(2,155)
0 2,155
119 📈
(Org: 130)
(2,153)
0.04 2,153
120 📈
(Org: 129)
(2,145)
0.03 2,145
121 📈
(Org: 128)
(2,122)
- 2,122
122 📈
(Org: 134)
(2,077)
0.03 2,077
123 📈
(Org: 143)
(2,067)
0.1 2,067
124 📈
(Org: 131)
(2,061)
0.01 2,061
125 📈
(Org: 133)
(2,037)
0.01 2,037
126 📈
(Org: 148)
(2,029)
0.09 2,029
127 📈
(Org: 147)
(2,028)
0.09 2,028
128 📈
(Org: 183)
(2,014)
0.34 2,014
129 📈
(Org: 136)
(1,993)
0.01 1,993
130 📈
(Org: 137)
(1,986)
0.01 1,986
131 📈
(Org: 151)
(1,965)
0.12 1,965
132 📈
(Org: 138)
(1,956)
0 1,956
133 📈
(Org: 139)
(1,938)
- 1,938
134 📈
(Org: 140)
(1,909)
- 1,909
135 📈
(Org: 142)
(1,900)
0.02 1,900
136 📈
(Org: 141)
(1,880)
- 1,880
137 📈
(Org: 143)
(1,874)
0.01 1,874
138 📈
(Org: 146)
(1,869)
0.01 1,869
139 📈
(Org: 145)
(1,860)
- 1,860
140 📈
(Org: 162)
(1,840)
0.17 1,840
141 📈
(Org: 149)
(1,831)
- 1,831
142 📈
(Org: 160)
(1,814)
0.12 1,814
143 📈
(Org: 153)
(1,803)
0.06 1,803
144 📈
(Org: 150)
(1,770)
0.01 1,770
145 📈
(Org: 154)
(1,768)
0.05 1,768
146 📈
(Org: 203)
(1,749)
0.33 1,749
147 📈
(Org: 172)
(1,722)
0.19 1,722
148 📈
(Org: 152)
(1,712)
- 1,712
149 📈
(Org: 246)
(1,709)
0.49 1,709
150 📈
(Org: 213)
(1,704)
0.34 1,704
151 📈
(Org: 164)
(1,671)
0.1 1,671
152 📈
(Org: 161)
(1,667)
0.05 1,667
153 📈
(Org: 155)
(1,666)
0 1,666
154 📈
(Org: 158)
(1,664)
0.02 1,664
155 📈
(Org: 157)
(1,660)
0 1,660
156 ➡️
(Org: 156)
(1,656)
- 1,656
157 📈
(Org: 171)
(1,644)
0.15 1,644
158 📈
(Org: 189)
(1,598)
0.21 1,598
159 📈
(Org: 166)
(1,579)
0.08 1,579
160 📈
(Org: 202)
(1,572)
0.24 1,572
161 📈
(Org: 194)
(1,555)
0.2 1,555
162 📈
(Org: 180)
(1,547)
0.13 1,547
163 📈
(Org: 175)
(1,535)
0.11 1,535
164 📈
(Org: 207)
(1,509)
0.24 1,509
165 📈
(Org: 168)
(1,491)
0.05 1,491
166 📈
(Org: 201)
(1,485)
0.19 1,485
167 📈
(Org: 174)
(1,481)
0.08 1,481
168 📈
(Org: 176)
(1,455)
0.06 1,455
169 📉
(Org: 167)
(1,420)
- 1,420
170 ➡️
(Org: 170)
(1,414)
0.01 1,414
171 📉
(Org: 169)
(1,402)
- 1,402
172 📈
(Org: 173)
(1,399)
0.01 1,399
173 📈
(Org: 181)
(1,393)
0.04 1,393
173 📈
(Org: 179)
(1,393)
0.03 1,393
175 📈
(Org: 177)
(1,385)
0.02 1,385
176 📈
(Org: 219)
(1,363)
0.23 1,363
177 📈
(Org: 221)
(1,361)
0.24 1,361
178 ➡️
(Org: 178)
(1,357)
- 1,357
179 📈
(Org: 189)
(1,333)
0.05 1,333
180 📈
(Org: 182)
(1,331)
- 1,331
181 📈
(Org: 200)
(1,319)
0.08 1,319
182 📈
(Org: 184)
(1,311)
- 1,311
183 📈
(Org: 185)
(1,304)
- 1,304
184 📈
(Org: 187)
(1,298)
0.01 1,298
185 📈
(Org: 186)
(1,285)
- 1,285
186 📈
(Org: 188)
(1,279)
0 1,279
187 📈
(Org: 198)
(1,258)
0.02 1,258
188 📈
(Org: 193)
(1,254)
- 1,254
189 📈
(Org: 197)
(1,247)
0 1,247
189 📈
(Org: 195)
(1,247)
- 1,247
191 📈
(Org: 196)
(1,245)
- 1,245
192 📈
(Org: 222)
(1,241)
0.17 1,241
193 📈
(Org: 206)
(1,221)
0.06 1,221
194 📈
(Org: 199)
(1,220)
0.01 1,220
195 📈
(Org: 205)
(1,207)
0.05 1,207
196 📈
(Org: 211)
(1,174)
0.04 1,174
197 📈
(Org: 204)
(1,172)
0.01 1,172
198 📈
(Org: 208)
(1,152)
0.01 1,152
199 📈
(Org: 212)
(1,144)
0.02 1,144
200 📈
(Org: 210)
(1,138)
0.01 1,138