101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1976 - 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: 105)
(2,502)
0.02 2,502
102 📈
(Org: 113)
(2,489)
0.1 2,489
103 📈
(Org: 108)
(2,464)
0.01 2,464
104 📈
(Org: 107)
(2,455)
0 2,455
105 📈
(Org: 145)
(2,424)
0.29 2,424
106 📈
(Org: 120)
(2,379)
0.1 2,379
107 📈
(Org: 123)
(2,342)
0.09 2,342
108 📈
(Org: 112)
(2,268)
- 2,268
109 📈
(Org: 133)
(2,248)
0.12 2,248
109 📈
(Org: 119)
(2,248)
0.04 2,248
111 📈
(Org: 117)
(2,194)
0.01 2,194
112 📈
(Org: 117)
(2,186)
0.01 2,186
113 📈
(Org: 115)
(2,185)
- 2,185
114 📈
(Org: 121)
(2,168)
0.02 2,168
115 📈
(Org: 122)
(2,134)
0 2,134
116 📈
(Org: 126)
(2,123)
0.01 2,123
117 📈
(Org: 124)
(2,118)
- 2,118
118 📈
(Org: 125)
(2,115)
- 2,115
119 📈
(Org: 127)
(2,102)
- 2,102
120 📈
(Org: 128)
(2,098)
- 2,098
121 📈
(Org: 176)
(2,068)
0.36 2,068
122 📈
(Org: 130)
(2,040)
0.01 2,040
123 📈
(Org: 129)
(2,039)
- 2,039
124 📈
(Org: 131)
(2,020)
- 2,020
125 📈
(Org: 175)
(1,988)
0.33 1,988
126 📈
(Org: 135)
(1,977)
0.02 1,977
127 📈
(Org: 134)
(1,968)
- 1,968
128 📈
(Org: 173)
(1,949)
0.31 1,949
129 📈
(Org: 154)
(1,947)
0.18 1,947
130 📈
(Org: 150)
(1,944)
0.15 1,944
131 📈
(Org: 142)
(1,943)
0.08 1,943
132 📈
(Org: 145)
(1,937)
0.11 1,937
133 📈
(Org: 138)
(1,933)
0.03 1,933
134 📈
(Org: 136)
(1,916)
- 1,916
135 📈
(Org: 137)
(1,915)
0.01 1,915
136 📈
(Org: 139)
(1,881)
0.01 1,881
137 📈
(Org: 147)
(1,875)
0.1 1,875
138 📈
(Org: 141)
(1,840)
0.03 1,840
139 📈
(Org: 140)
(1,838)
- 1,838
140 📈
(Org: 143)
(1,785)
0.02 1,785
141 📈
(Org: 160)
(1,764)
0.16 1,764
142 📈
(Org: 144)
(1,760)
0.01 1,760
143 📈
(Org: 149)
(1,738)
0.04 1,738
144 📈
(Org: 227)
(1,702)
0.47 1,702
145 📈
(Org: 171)
(1,691)
0.2 1,691
146 📈
(Org: 148)
(1,690)
- 1,690
147 📈
(Org: 152)
(1,685)
0.02 1,685
148 📈
(Org: 158)
(1,681)
0.08 1,681
149 📈
(Org: 213)
(1,671)
0.41 1,671
150 📈
(Org: 151)
(1,670)
0.01 1,670
151 📈
(Org: 157)
(1,649)
0.05 1,649
152 📈
(Org: 164)
(1,638)
0.13 1,638
153 📈
(Org: 174)
(1,609)
0.16 1,609
154 📈
(Org: 156)
(1,592)
0 1,592
155 📈
(Org: 191)
(1,585)
0.27 1,585
156 📈
(Org: 159)
(1,512)
- 1,512
157 📈
(Org: 169)
(1,490)
0.06 1,490
158 📈
(Org: 161)
(1,480)
- 1,480
159 📈
(Org: 162)
(1,440)
- 1,440
160 📈
(Org: 166)
(1,435)
0.02 1,435
161 📈
(Org: 165)
(1,432)
0.01 1,432
162 📈
(Org: 163)
(1,427)
- 1,427
163 📈
(Org: 167)
(1,407)
- 1,407
164 📈
(Org: 168)
(1,402)
- 1,402
165 📈
(Org: 170)
(1,393)
- 1,393
166 📈
(Org: 177)
(1,387)
0.05 1,387
167 📈
(Org: 181)
(1,380)
0.09 1,380
168 📈
(Org: 172)
(1,360)
- 1,360
169 📈
(Org: 237)
(1,341)
0.36 1,341
170 📈
(Org: 186)
(1,285)
0.08 1,285
171 📈
(Org: 209)
(1,281)
0.21 1,281
172 📈
(Org: 183)
(1,280)
0.04 1,280
173 📈
(Org: 202)
(1,277)
0.14 1,277
174 📈
(Org: 179)
(1,268)
0.01 1,268
175 📈
(Org: 180)
(1,254)
- 1,254
176 📈
(Org: 181)
(1,253)
- 1,253
177 📈
(Org: 185)
(1,248)
0.04 1,248
178 📈
(Org: 183)
(1,236)
0 1,236
179 📈
(Org: 201)
(1,217)
0.1 1,217
180 📈
(Org: 215)
(1,213)
0.2 1,213
181 📈
(Org: 236)
(1,201)
0.28 1,201
182 📈
(Org: 187)
(1,193)
0.01 1,193
183 📈
(Org: 189)
(1,189)
0.01 1,189
183 📈
(Org: 188)
(1,189)
0.01 1,189
185 📈
(Org: 190)
(1,186)
0.02 1,186
186 📈
(Org: 194)
(1,175)
0.01 1,175
187 📈
(Org: 290)
(1,174)
0.45 1,174
188 📈
(Org: 193)
(1,167)
0.01 1,167
189 📈
(Org: 200)
(1,165)
0.06 1,165
190 📈
(Org: 195)
(1,162)
0.01 1,162
191 📈
(Org: 196)
(1,157)
0.01 1,157
192 📈
(Org: 198)
(1,154)
0.01 1,154
193 📈
(Org: 197)
(1,139)
- 1,139
194 📈
(Org: 199)
(1,136)
0.02 1,136
195 📈
(Org: 204)
(1,113)
0.04 1,113
196 📈
(Org: 203)
(1,086)
0.01 1,086
197 📈
(Org: 211)
(1,083)
0.08 1,083
198 📈
(Org: 205)
(1,071)
0.01 1,071
199 📈
(Org: 206)
(1,061)
0.01 1,061
200 📈
(Org: 214)
(1,056)
0.07 1,056