101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1946 - 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: 101)
(2,682)
0.03 2,682
102 ➡️
(Org: 102)
(2,634)
0.01 2,634
103 📉
(Org: 100)
(2,622)
0 2,622
104 📈
(Org: 118)
(2,542)
0.15 2,542
105 📈
(Org: 131)
(2,539)
0.25 2,539
106 📉
(Org: 105)
(2,536)
- 2,536
107 ➡️
(Org: 107)
(2,498)
0 2,498
108 ➡️
(Org: 108)
(2,478)
0 2,478
109 📈
(Org: 111)
(2,452)
0.02 2,452
110 ➡️
(Org: 110)
(2,431)
0 2,431
111 📈
(Org: 112)
(2,380)
- 2,380
112 📈
(Org: 113)
(2,338)
- 2,338
113 📈
(Org: 114)
(2,294)
0 2,294
114 📈
(Org: 123)
(2,251)
0.08 2,251
115 📈
(Org: 116)
(2,213)
0.01 2,213
116 📉
(Org: 115)
(2,205)
0 2,205
117 📈
(Org: 119)
(2,195)
0.03 2,195
118 📈
(Org: 121)
(2,135)
0.01 2,135
119 📈
(Org: 120)
(2,130)
- 2,130
120 📈
(Org: 125)
(2,089)
0.01 2,089
121 📈
(Org: 122)
(2,065)
- 2,065
122 📈
(Org: 124)
(2,061)
- 2,061
122 📈
(Org: 129)
(2,061)
0.04 2,061
124 📈
(Org: 161)
(2,060)
0.35 2,060
125 📈
(Org: 126)
(2,047)
- 2,047
126 📈
(Org: 151)
(2,013)
0.21 2,013
127 ➡️
(Org: 127)
(1,999)
- 1,999
128 ➡️
(Org: 128)
(1,982)
0 1,982
129 📈
(Org: 176)
(1,974)
0.46 1,974
129 📈
(Org: 134)
(1,974)
0.08 1,974
131 📉
(Org: 130)
(1,966)
- 1,966
132 📈
(Org: 140)
(1,952)
0.12 1,952
133 📈
(Org: 135)
(1,946)
0.08 1,946
134 📉
(Org: 132)
(1,932)
0.02 1,932
135 📈
(Org: 184)
(1,888)
0.47 1,888
136 📈
(Org: 139)
(1,869)
0.07 1,869
137 📉
(Org: 133)
(1,859)
- 1,859
138 📈
(Org: 144)
(1,819)
0.08 1,819
139 📈
(Org: 141)
(1,773)
0.03 1,773
140 📉
(Org: 137)
(1,765)
0.01 1,765
141 📉
(Org: 138)
(1,751)
- 1,751
142 ➡️
(Org: 142)
(1,712)
- 1,712
143 📈
(Org: 146)
(1,702)
0.03 1,702
144 📈
(Org: 145)
(1,669)
- 1,669
145 📈
(Org: 147)
(1,654)
0 1,654
146 📈
(Org: 148)
(1,652)
0.01 1,652
146 📈
(Org: 154)
(1,652)
0.07 1,652
148 📈
(Org: 149)
(1,620)
- 1,620
149 📈
(Org: 170)
(1,603)
0.26 1,603
150 ➡️
(Org: 150)
(1,599)
- 1,599
151 📈
(Org: 152)
(1,595)
0 1,595
152 📈
(Org: 153)
(1,572)
- 1,572
153 📈
(Org: 186)
(1,541)
0.37 1,541
154 📈
(Org: 155)
(1,535)
0.01 1,535
155 📈
(Org: 158)
(1,510)
0.01 1,510
156 ➡️
(Org: 156)
(1,507)
- 1,507
157 ➡️
(Org: 157)
(1,491)
- 1,491
158 📈
(Org: 220)
(1,434)
0.47 1,434
159 📈
(Org: 180)
(1,417)
0.27 1,417
160 📉
(Org: 159)
(1,409)
0 1,409
161 📈
(Org: 166)
(1,406)
0.1 1,406
162 📈
(Org: 163)
(1,401)
0.07 1,401
163 📉
(Org: 160)
(1,398)
- 1,398
164 📈
(Org: 238)
(1,325)
0.51 1,325
165 📉
(Org: 162)
(1,323)
0.01 1,323
166 📉
(Org: 164)
(1,304)
- 1,304
167 📈
(Org: 190)
(1,288)
0.27 1,288
168 📉
(Org: 167)
(1,284)
0.03 1,284
169 📉
(Org: 165)
(1,275)
- 1,275
170 📉
(Org: 169)
(1,209)
- 1,209
171 📈
(Org: 173)
(1,174)
0.06 1,174
172 📉
(Org: 171)
(1,142)
0.01 1,142
173 📈
(Org: 175)
(1,132)
0.05 1,132
174 📉
(Org: 172)
(1,128)
- 1,128
175 📈
(Org: 212)
(1,125)
0.28 1,125
176 📉
(Org: 174)
(1,088)
- 1,088
177 📈
(Org: 183)
(1,087)
0.07 1,087
178 📈
(Org: 191)
(1,080)
0.13 1,080
179 📉
(Org: 177)
(1,057)
- 1,057
180 📉
(Org: 178)
(1,046)
- 1,046
181 📈
(Org: 206)
(1,036)
0.2 1,036
182 📉
(Org: 179)
(1,035)
- 1,035
183 📉
(Org: 182)
(1,017)
- 1,017
184 📈
(Org: 228)
(981)
0.3 981
185 📈
(Org: 186)
(977)
- 977
186 📈
(Org: 194)
(970)
0.08 970
187 📈
(Org: 188)
(964)
- 964
188 📈
(Org: 189)
(954)
0.01 954
189 📈
(Org: 243)
(951)
0.33 951
190 📈
(Org: 193)
(909)
- 909
191 📈
(Org: 209)
(908)
0.09 908
192 📈
(Org: 241)
(903)
0.28 903
193 📈
(Org: 197)
(888)
0.01 888
193 📈
(Org: 195)
(888)
- 888
195 📈
(Org: 198)
(881)
- 881
196 📈
(Org: 199)
(867)
- 867
197 📈
(Org: 200)
(859)
- 859
198 📈
(Org: 201)
(856)
- 856
199 📈
(Org: 206)
(849)
0.02 849
200 📈
(Org: 205)
(841)
0.01 841