101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1972 - 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: 100)
(2,861)
0.01 2,861
102 📈
(Org: 105)
(2,792)
0.02 2,792
102 📈
(Org: 103)
(2,792)
- 2,792
104 📈
(Org: 120)
(2,743)
0.14 2,743
105 📈
(Org: 122)
(2,736)
0.16 2,736
106 📈
(Org: 109)
(2,630)
0.01 2,630
107 ➡️
(Org: 107)
(2,619)
- 2,619
108 📈
(Org: 110)
(2,580)
- 2,580
109 📈
(Org: 112)
(2,509)
- 2,509
110 📈
(Org: 114)
(2,504)
0.01 2,504
111 📈
(Org: 113)
(2,477)
- 2,477
112 📈
(Org: 115)
(2,455)
0 2,455
113 📈
(Org: 118)
(2,432)
0.01 2,432
114 📈
(Org: 117)
(2,431)
0 2,431
115 📈
(Org: 119)
(2,411)
0.01 2,411
116 📈
(Org: 162)
(2,345)
0.32 2,345
117 📈
(Org: 130)
(2,332)
0.1 2,332
118 📈
(Org: 125)
(2,319)
0.03 2,319
119 📈
(Org: 121)
(2,313)
- 2,313
120 📈
(Org: 123)
(2,303)
- 2,303
121 📈
(Org: 135)
(2,282)
0.14 2,282
122 📈
(Org: 126)
(2,278)
0.01 2,278
123 📈
(Org: 193)
(2,253)
0.47 2,253
124 📈
(Org: 128)
(2,152)
- 2,152
125 📈
(Org: 129)
(2,127)
0 2,127
126 📈
(Org: 147)
(2,100)
0.16 2,100
127 📈
(Org: 164)
(2,082)
0.24 2,082
128 📈
(Org: 131)
(2,069)
0 2,069
129 📈
(Org: 173)
(2,066)
0.3 2,066
130 📈
(Org: 203)
(2,058)
0.45 2,058
131 📈
(Org: 140)
(2,043)
0.06 2,043
132 ➡️
(Org: 132)
(2,035)
- 2,035
133 📈
(Org: 144)
(2,009)
0.08 2,009
134 📈
(Org: 138)
(2,007)
0.04 2,007
135 📈
(Org: 142)
(1,981)
0.04 1,981
136 📈
(Org: 160)
(1,945)
0.16 1,945
137 ➡️
(Org: 137)
(1,940)
0.01 1,940
138 📈
(Org: 139)
(1,928)
0 1,928
139 📈
(Org: 141)
(1,918)
0 1,918
140 📈
(Org: 185)
(1,859)
0.3 1,859
141 📈
(Org: 143)
(1,845)
- 1,845
142 📈
(Org: 150)
(1,834)
0.05 1,834
143 📈
(Org: 151)
(1,809)
0.05 1,809
144 📈
(Org: 145)
(1,807)
- 1,807
145 📈
(Org: 146)
(1,784)
0.01 1,784
146 📈
(Org: 153)
(1,771)
0.04 1,771
146 📈
(Org: 149)
(1,771)
0.01 1,771
148 ➡️
(Org: 148)
(1,759)
0 1,759
149 📈
(Org: 154)
(1,757)
0.04 1,757
150 📈
(Org: 155)
(1,712)
0.02 1,712
151 📈
(Org: 152)
(1,704)
- 1,704
152 📈
(Org: 201)
(1,690)
0.31 1,690
153 📈
(Org: 156)
(1,682)
- 1,682
154 📈
(Org: 157)
(1,678)
- 1,678
155 📈
(Org: 158)
(1,677)
- 1,677
155 📈
(Org: 159)
(1,677)
0 1,677
157 📈
(Org: 161)
(1,611)
- 1,611
158 📈
(Org: 184)
(1,609)
0.18 1,609
159 📈
(Org: 162)
(1,594)
- 1,594
160 📈
(Org: 167)
(1,591)
0.03 1,591
161 📈
(Org: 165)
(1,571)
0.01 1,571
162 📈
(Org: 166)
(1,566)
0.01 1,566
163 📈
(Org: 179)
(1,502)
0.09 1,502
164 📈
(Org: 169)
(1,498)
0.01 1,498
165 📈
(Org: 168)
(1,492)
- 1,492
166 📈
(Org: 172)
(1,491)
0.03 1,491
167 📈
(Org: 170)
(1,485)
0.01 1,485
168 📈
(Org: 171)
(1,463)
0 1,463
169 📈
(Org: 234)
(1,462)
0.37 1,462
170 📈
(Org: 174)
(1,452)
0.02 1,452
171 📈
(Org: 175)
(1,443)
0.02 1,443
172 📈
(Org: 176)
(1,405)
- 1,405
173 📈
(Org: 181)
(1,403)
0.05 1,403
174 📈
(Org: 177)
(1,397)
- 1,397
175 📈
(Org: 178)
(1,392)
- 1,392
176 📈
(Org: 182)
(1,381)
0.03 1,381
177 📈
(Org: 180)
(1,357)
0.01 1,357
178 📈
(Org: 182)
(1,334)
- 1,334
179 📈
(Org: 187)
(1,333)
0.06 1,333
180 📈
(Org: 195)
(1,298)
0.08 1,298
181 📈
(Org: 188)
(1,282)
0.02 1,282
182 📈
(Org: 189)
(1,280)
0.03 1,280
183 📈
(Org: 186)
(1,268)
- 1,268
184 📈
(Org: 197)
(1,240)
0.05 1,240
185 📈
(Org: 190)
(1,234)
- 1,234
186 📈
(Org: 191)
(1,214)
- 1,214
187 📈
(Org: 194)
(1,209)
0.01 1,209
188 📈
(Org: 260)
(1,202)
0.37 1,202
189 📈
(Org: 196)
(1,184)
- 1,184
190 📈
(Org: 209)
(1,174)
0.07 1,174
191 📈
(Org: 198)
(1,172)
- 1,172
192 📈
(Org: 200)
(1,163)
- 1,163
193 📈
(Org: 214)
(1,159)
0.1 1,159
194 📈
(Org: 232)
(1,154)
0.2 1,154
195 📈
(Org: 240)
(1,147)
0.22 1,147
196 📈
(Org: 206)
(1,146)
0.03 1,146
197 📈
(Org: 205)
(1,119)
0.01 1,119
198 📈
(Org: 221)
(1,118)
0.1 1,118
199 📈
(Org: 204)
(1,114)
- 1,114
200 📈
(Org: 208)
(1,095)
- 1,095