101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1954 - 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: 104)
(3,371)
0 3,371
102 📈
(Org: 103)
(3,367)
- 3,367
103 📈
(Org: 106)
(3,305)
0.02 3,305
104 📈
(Org: 107)
(3,235)
0 3,235
105 📈
(Org: 110)
(3,194)
0.01 3,194
106 📈
(Org: 108)
(3,181)
- 3,181
107 📈
(Org: 109)
(3,167)
- 3,167
108 📈
(Org: 112)
(3,141)
- 3,141
109 📈
(Org: 115)
(3,140)
0.02 3,140
110 📈
(Org: 114)
(3,135)
0.01 3,135
111 📈
(Org: 147)
(3,081)
0.36 3,081
112 📈
(Org: 116)
(3,044)
- 3,044
113 📈
(Org: 117)
(3,035)
0.01 3,035
114 📈
(Org: 118)
(3,018)
0.01 3,018
115 📈
(Org: 121)
(2,953)
0.07 2,953
116 📈
(Org: 120)
(2,950)
0.07 2,950
117 📈
(Org: 180)
(2,907)
0.49 2,907
118 📈
(Org: 124)
(2,871)
0.06 2,871
119 📈
(Org: 156)
(2,856)
0.36 2,856
120 📈
(Org: 122)
(2,777)
0.01 2,777
121 📈
(Org: 123)
(2,762)
0.01 2,762
122 📈
(Org: 125)
(2,639)
- 2,639
123 📈
(Org: 126)
(2,621)
- 2,621
124 📈
(Org: 128)
(2,602)
0 2,602
125 📈
(Org: 127)
(2,596)
- 2,596
126 📈
(Org: 134)
(2,582)
0.08 2,582
127 📈
(Org: 129)
(2,558)
0 2,558
128 📈
(Org: 132)
(2,522)
0.03 2,522
129 📈
(Org: 130)
(2,503)
- 2,503
130 📈
(Org: 134)
(2,368)
- 2,368
131 📈
(Org: 136)
(2,325)
- 2,325
132 📈
(Org: 140)
(2,314)
0.07 2,314
133 📈
(Org: 142)
(2,312)
0.09 2,312
134 📈
(Org: 137)
(2,307)
0.03 2,307
135 📈
(Org: 138)
(2,237)
0.01 2,237
136 📈
(Org: 203)
(2,197)
0.44 2,197
137 📈
(Org: 139)
(2,196)
0.02 2,196
138 📈
(Org: 140)
(2,145)
- 2,145
139 📈
(Org: 205)
(2,140)
0.43 2,140
140 📈
(Org: 149)
(2,131)
0.08 2,131
141 📈
(Org: 184)
(2,101)
0.31 2,101
142 📈
(Org: 143)
(2,099)
- 2,099
143 📈
(Org: 144)
(2,097)
- 2,097
144 📈
(Org: 159)
(2,095)
0.14 2,095
145 📈
(Org: 178)
(2,082)
0.28 2,082
146 📈
(Org: 168)
(2,073)
0.18 2,073
147 📈
(Org: 151)
(2,059)
0.08 2,059
148 📉
(Org: 145)
(2,044)
0 2,044
149 📉
(Org: 148)
(1,955)
- 1,955
150 📉
(Org: 149)
(1,954)
- 1,954
151 📈
(Org: 179)
(1,919)
0.22 1,919
152 📈
(Org: 155)
(1,905)
0.03 1,905
153 📈
(Org: 160)
(1,903)
0.06 1,903
154 📈
(Org: 226)
(1,901)
0.5 1,901
155 📈
(Org: 157)
(1,888)
0.03 1,888
156 📉
(Org: 152)
(1,871)
- 1,871
157 📉
(Org: 153)
(1,869)
- 1,869
158 📉
(Org: 154)
(1,855)
0.01 1,855
159 📉
(Org: 158)
(1,812)
- 1,812
160 📈
(Org: 163)
(1,810)
0.03 1,810
161 ➡️
(Org: 161)
(1,787)
0.01 1,787
162 ➡️
(Org: 162)
(1,774)
0 1,774
163 📈
(Org: 164)
(1,759)
- 1,759
164 📈
(Org: 165)
(1,741)
- 1,741
165 📈
(Org: 167)
(1,721)
- 1,721
166 📈
(Org: 169)
(1,685)
- 1,685
167 📈
(Org: 233)
(1,665)
0.45 1,665
168 📈
(Org: 170)
(1,662)
- 1,662
169 📈
(Org: 172)
(1,625)
0.01 1,625
170 📈
(Org: 183)
(1,613)
0.1 1,613
171 📈
(Org: 173)
(1,611)
- 1,611
172 📈
(Org: 174)
(1,599)
0 1,599
173 📈
(Org: 181)
(1,589)
0.08 1,589
174 📈
(Org: 175)
(1,581)
- 1,581
175 📈
(Org: 177)
(1,539)
0.01 1,539
176 ➡️
(Org: 176)
(1,526)
- 1,526
177 📈
(Org: 187)
(1,524)
0.07 1,524
178 📈
(Org: 181)
(1,478)
0.01 1,478
179 📈
(Org: 198)
(1,477)
0.15 1,477
180 📈
(Org: 189)
(1,438)
0.04 1,438
181 📈
(Org: 185)
(1,421)
- 1,421
182 📈
(Org: 186)
(1,416)
- 1,416
183 📈
(Org: 193)
(1,415)
0.07 1,415
184 📈
(Org: 188)
(1,407)
0.01 1,407
185 📈
(Org: 191)
(1,381)
0.03 1,381
186 📈
(Org: 190)
(1,375)
- 1,375
187 📈
(Org: 194)
(1,298)
- 1,298
188 📈
(Org: 195)
(1,291)
- 1,291
189 📈
(Org: 196)
(1,282)
- 1,282
190 📈
(Org: 197)
(1,268)
- 1,268
191 📈
(Org: 199)
(1,259)
0 1,259
192 📈
(Org: 205)
(1,258)
0.03 1,258
193 📈
(Org: 200)
(1,236)
- 1,236
194 📈
(Org: 202)
(1,232)
- 1,232
195 📈
(Org: 208)
(1,209)
0.06 1,209
196 📈
(Org: 311)
(1,203)
0.55 1,203
197 📈
(Org: 207)
(1,170)
- 1,170
198 📈
(Org: 209)
(1,160)
0.03 1,160
199 📈
(Org: 210)
(1,155)
0.05 1,155
200 📈
(Org: 211)
(1,150)
0.05 1,150