101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1978 - 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: 113)
(2,438)
0.08 2,438
102 📈
(Org: 161)
(2,371)
0.36 2,371
103 📈
(Org: 163)
(2,354)
0.37 2,354
104 📈
(Org: 111)
(2,306)
- 2,306
105 📈
(Org: 115)
(2,270)
0.03 2,270
106 📈
(Org: 120)
(2,262)
0.05 2,262
107 📈
(Org: 158)
(2,260)
0.32 2,260
108 📈
(Org: 114)
(2,243)
0.01 2,243
109 📈
(Org: 134)
(2,231)
0.12 2,231
110 📈
(Org: 117)
(2,219)
0.02 2,219
111 📈
(Org: 116)
(2,207)
- 2,207
112 📈
(Org: 121)
(2,198)
0.03 2,198
113 📈
(Org: 159)
(2,168)
0.3 2,168
114 📈
(Org: 119)
(2,167)
0.01 2,167
115 📈
(Org: 132)
(2,140)
0.07 2,140
116 📈
(Org: 123)
(2,127)
0.01 2,127
117 📈
(Org: 122)
(2,122)
- 2,122
118 📈
(Org: 136)
(2,095)
0.07 2,095
119 📈
(Org: 124)
(2,074)
- 2,074
119 📈
(Org: 137)
(2,074)
0.09 2,074
121 📈
(Org: 128)
(2,070)
0.01 2,070
122 📈
(Org: 126)
(2,067)
0.01 2,067
123 📈
(Org: 133)
(2,047)
0.03 2,047
123 📈
(Org: 127)
(2,047)
0 2,047
125 📈
(Org: 129)
(2,033)
- 2,033
126 📈
(Org: 134)
(2,020)
0.02 2,020
127 📈
(Org: 131)
(1,991)
- 1,991
128 📈
(Org: 140)
(1,953)
0.04 1,953
129 📈
(Org: 150)
(1,912)
0.08 1,912
130 📈
(Org: 139)
(1,892)
0.01 1,892
131 📈
(Org: 192)
(1,888)
0.34 1,888
131 📈
(Org: 138)
(1,888)
- 1,888
133 📈
(Org: 141)
(1,884)
0.01 1,884
134 📈
(Org: 142)
(1,882)
0.02 1,882
135 📈
(Org: 142)
(1,849)
- 1,849
136 📈
(Org: 145)
(1,847)
0.01 1,847
136 📈
(Org: 152)
(1,847)
0.09 1,847
138 📈
(Org: 144)
(1,828)
- 1,828
139 📈
(Org: 147)
(1,817)
0.01 1,817
140 📈
(Org: 157)
(1,804)
0.13 1,804
141 📈
(Org: 146)
(1,803)
- 1,803
142 📈
(Org: 148)
(1,779)
0.01 1,779
143 📈
(Org: 149)
(1,778)
0.01 1,778
144 📈
(Org: 200)
(1,774)
0.37 1,774
145 📈
(Org: 174)
(1,745)
0.23 1,745
146 📈
(Org: 165)
(1,744)
0.16 1,744
147 📈
(Org: 172)
(1,727)
0.2 1,727
148 📈
(Org: 151)
(1,701)
- 1,701
149 📈
(Org: 155)
(1,680)
0.04 1,680
150 📈
(Org: 153)
(1,666)
0.02 1,666
151 📈
(Org: 156)
(1,652)
0.04 1,652
152 📈
(Org: 246)
(1,643)
0.49 1,643
153 📈
(Org: 167)
(1,635)
0.11 1,635
154 📈
(Org: 166)
(1,620)
0.1 1,620
155 📉
(Org: 154)
(1,611)
- 1,611
156 📈
(Org: 168)
(1,601)
0.1 1,601
157 📈
(Org: 171)
(1,600)
0.14 1,600
158 📈
(Org: 201)
(1,522)
0.27 1,522
159 📈
(Org: 160)
(1,521)
0 1,521
160 📈
(Org: 169)
(1,510)
0.07 1,510
161 📈
(Org: 162)
(1,507)
0.01 1,507
162 📈
(Org: 164)
(1,468)
- 1,468
163 📈
(Org: 170)
(1,457)
0.05 1,457
164 📈
(Org: 188)
(1,443)
0.13 1,443
165 📈
(Org: 180)
(1,418)
0.08 1,418
166 📈
(Org: 173)
(1,392)
0.02 1,392
167 📈
(Org: 186)
(1,366)
0.07 1,366
168 📈
(Org: 178)
(1,363)
0.04 1,363
169 📈
(Org: 183)
(1,349)
0.05 1,349
170 📈
(Org: 208)
(1,344)
0.21 1,344
171 📈
(Org: 176)
(1,330)
0 1,330
172 📈
(Org: 175)
(1,329)
- 1,329
173 📈
(Org: 177)
(1,327)
0 1,327
174 📈
(Org: 179)
(1,316)
0 1,316
175 📈
(Org: 181)
(1,311)
0.01 1,311
176 📈
(Org: 221)
(1,297)
0.26 1,297
176 📈
(Org: 187)
(1,297)
0.03 1,297
178 📈
(Org: 184)
(1,279)
- 1,279
179 📈
(Org: 189)
(1,249)
- 1,249
180 📈
(Org: 190)
(1,243)
- 1,243
181 📈
(Org: 191)
(1,242)
- 1,242
182 📈
(Org: 193)
(1,235)
- 1,235
183 📈
(Org: 195)
(1,233)
0.02 1,233
184 📈
(Org: 194)
(1,230)
- 1,230
185 📈
(Org: 218)
(1,224)
0.19 1,224
186 📈
(Org: 223)
(1,201)
0.21 1,201
187 📈
(Org: 196)
(1,200)
- 1,200
188 📈
(Org: 197)
(1,169)
0.01 1,169
189 📈
(Org: 198)
(1,168)
0.01 1,168
190 📈
(Org: 198)
(1,157)
- 1,157
191 📈
(Org: 230)
(1,146)
0.2 1,146
192 📈
(Org: 256)
(1,137)
0.3 1,137
193 📈
(Org: 206)
(1,126)
0.05 1,126
194 📈
(Org: 202)
(1,113)
0 1,113
195 📈
(Org: 214)
(1,097)
0.08 1,097
196 📈
(Org: 203)
(1,092)
0.01 1,092
197 📈
(Org: 204)
(1,086)
0 1,086
198 📈
(Org: 207)
(1,085)
0.01 1,085
199 📈
(Org: 205)
(1,079)
- 1,079
200 📈
(Org: 215)
(1,072)
0.06 1,072