101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1964 - 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)
(3,761)
- 3,761
102 📉
(Org: 101)
(3,645)
- 3,645
103 ➡️
(Org: 103)
(3,576)
0 3,576
104 📈
(Org: 106)
(3,506)
0.05 3,506
105 📈
(Org: 129)
(3,338)
0.24 3,338
106 📈
(Org: 107)
(3,309)
0 3,309
107 📈
(Org: 124)
(3,231)
0.13 3,231
108 ➡️
(Org: 108)
(3,217)
0 3,217
109 📈
(Org: 115)
(3,200)
0.04 3,200
110 📈
(Org: 123)
(3,198)
0.11 3,198
111 ➡️
(Org: 111)
(3,152)
0.01 3,152
112 📉
(Org: 110)
(3,136)
- 3,136
113 📈
(Org: 117)
(3,113)
0.02 3,113
113 📈
(Org: 151)
(3,113)
0.3 3,113
115 📉
(Org: 114)
(3,077)
- 3,077
116 ➡️
(Org: 116)
(3,061)
- 3,061
117 📈
(Org: 119)
(2,977)
- 2,977
118 📈
(Org: 127)
(2,958)
0.11 2,958
119 📈
(Org: 121)
(2,885)
0.01 2,885
120 📈
(Org: 122)
(2,850)
- 2,850
121 📈
(Org: 175)
(2,816)
0.44 2,816
122 📈
(Org: 125)
(2,752)
0 2,752
123 📈
(Org: 126)
(2,739)
- 2,739
124 📈
(Org: 181)
(2,688)
0.43 2,688
125 📈
(Org: 128)
(2,624)
0 2,624
126 📈
(Org: 132)
(2,615)
0.05 2,615
127 📈
(Org: 137)
(2,584)
0.08 2,584
128 📈
(Org: 131)
(2,562)
0.02 2,562
129 📈
(Org: 189)
(2,547)
0.41 2,547
130 ➡️
(Org: 130)
(2,526)
- 2,526
131 📈
(Org: 138)
(2,508)
0.05 2,508
132 📈
(Org: 133)
(2,465)
- 2,465
133 📈
(Org: 141)
(2,459)
0.06 2,459
134 ➡️
(Org: 134)
(2,455)
0.01 2,455
135 📈
(Org: 136)
(2,399)
- 2,399
136 📈
(Org: 139)
(2,396)
0.01 2,396
137 📈
(Org: 140)
(2,348)
0.01 2,348
138 📈
(Org: 143)
(2,347)
0.03 2,347
139 📈
(Org: 145)
(2,299)
0.02 2,299
140 📈
(Org: 142)
(2,298)
0.01 2,298
141 📈
(Org: 158)
(2,290)
0.1 2,290
142 📈
(Org: 214)
(2,286)
0.44 2,286
143 📈
(Org: 144)
(2,258)
- 2,258
144 📈
(Org: 149)
(2,249)
0.02 2,249
145 📈
(Org: 146)
(2,246)
- 2,246
146 📈
(Org: 147)
(2,244)
0.01 2,244
147 📈
(Org: 148)
(2,227)
- 2,227
148 📈
(Org: 152)
(2,225)
0.03 2,225
149 📈
(Org: 150)
(2,194)
- 2,194
150 📈
(Org: 155)
(2,171)
0.03 2,171
151 📈
(Org: 153)
(2,168)
- 2,168
152 📈
(Org: 157)
(2,136)
0.02 2,136
153 📈
(Org: 159)
(2,104)
0.02 2,104
154 📈
(Org: 187)
(2,090)
0.28 2,090
155 📈
(Org: 160)
(2,037)
- 2,037
156 📈
(Org: 161)
(2,019)
- 2,019
157 📈
(Org: 162)
(2,017)
0.02 2,017
158 📈
(Org: 184)
(2,014)
0.25 2,014
159 📈
(Org: 163)
(1,963)
- 1,963
160 📈
(Org: 165)
(1,907)
0.02 1,907
161 📈
(Org: 164)
(1,896)
- 1,896
162 📈
(Org: 239)
(1,891)
0.46 1,891
163 📈
(Org: 167)
(1,803)
0.02 1,803
164 📈
(Org: 166)
(1,775)
- 1,775
165 📈
(Org: 209)
(1,769)
0.25 1,769
166 📈
(Org: 168)
(1,755)
- 1,755
167 📈
(Org: 180)
(1,701)
0.1 1,701
168 📈
(Org: 177)
(1,641)
0.05 1,641
169 ➡️
(Org: 169)
(1,636)
- 1,636
170 📈
(Org: 208)
(1,619)
0.17 1,619
171 📉
(Org: 170)
(1,606)
- 1,606
172 📈
(Org: 173)
(1,585)
- 1,585
173 📈
(Org: 195)
(1,577)
0.07 1,577
174 ➡️
(Org: 174)
(1,569)
- 1,569
174 📈
(Org: 176)
(1,569)
0 1,569
176 📈
(Org: 185)
(1,550)
0.03 1,550
177 📈
(Org: 178)
(1,549)
- 1,549
178 📈
(Org: 188)
(1,545)
0.03 1,545
179 ➡️
(Org: 179)
(1,535)
- 1,535
179 📈
(Org: 196)
(1,535)
0.06 1,535
181 📈
(Org: 183)
(1,516)
- 1,516
182 📈
(Org: 192)
(1,500)
0.02 1,500
183 📈
(Org: 200)
(1,489)
0.06 1,489
184 📈
(Org: 190)
(1,482)
- 1,482
185 📈
(Org: 191)
(1,478)
- 1,478
186 📈
(Org: 193)
(1,470)
- 1,470
187 📈
(Org: 197)
(1,469)
0.02 1,469
188 📈
(Org: 194)
(1,461)
- 1,461
189 📈
(Org: 211)
(1,433)
0.09 1,433
190 📈
(Org: 198)
(1,432)
- 1,432
191 📈
(Org: 199)
(1,409)
- 1,409
192 📈
(Org: 202)
(1,407)
0.02 1,407
193 📈
(Org: 201)
(1,398)
0.01 1,398
194 📈
(Org: 203)
(1,386)
0.02 1,386
195 📈
(Org: 210)
(1,372)
0.04 1,372
196 📈
(Org: 206)
(1,361)
0 1,361
197 📈
(Org: 263)
(1,360)
0.38 1,360
198 📈
(Org: 204)
(1,358)
- 1,358
199 📈
(Org: 207)
(1,352)
- 1,352
200 📈
(Org: 225)
(1,316)
0.15 1,316