101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1948 - 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: 102)
(3,047)
0 3,047
102 📈
(Org: 121)
(3,010)
0.22 3,010
103 📈
(Org: 155)
(2,973)
0.46 2,973
104 ➡️
(Org: 104)
(2,896)
0.02 2,896
105 📉
(Org: 103)
(2,877)
0 2,877
106 📉
(Org: 105)
(2,800)
0 2,800
107 📉
(Org: 106)
(2,797)
0 2,797
108 📉
(Org: 107)
(2,754)
0.01 2,754
109 📈
(Org: 130)
(2,733)
0.22 2,733
110 📈
(Org: 111)
(2,691)
0.06 2,691
111 📈
(Org: 118)
(2,685)
0.11 2,685
112 📉
(Org: 109)
(2,657)
- 2,657
113 📈
(Org: 114)
(2,656)
0.06 2,656
114 📉
(Org: 110)
(2,612)
0.01 2,612
115 📉
(Org: 112)
(2,542)
0.01 2,542
116 📉
(Org: 113)
(2,522)
0.01 2,522
117 📉
(Org: 115)
(2,478)
- 2,478
118 📉
(Org: 116)
(2,434)
- 2,434
119 📉
(Org: 117)
(2,408)
0 2,408
120 📉
(Org: 119)
(2,383)
- 2,383
121 📈
(Org: 125)
(2,349)
0.03 2,349
122 ➡️
(Org: 122)
(2,331)
0.01 2,331
123 📈
(Org: 128)
(2,285)
0.03 2,285
124 📉
(Org: 123)
(2,278)
0 2,278
125 📉
(Org: 124)
(2,270)
- 2,270
126 ➡️
(Org: 126)
(2,262)
- 2,262
127 ➡️
(Org: 127)
(2,236)
0 2,236
128 📈
(Org: 165)
(2,171)
0.35 2,171
129 📈
(Org: 152)
(2,141)
0.2 2,141
130 📈
(Org: 142)
(2,074)
0.07 2,074
131 ➡️
(Org: 131)
(2,073)
- 2,073
132 📈
(Org: 144)
(2,063)
0.08 2,063
133 📉
(Org: 132)
(2,062)
- 2,062
134 ➡️
(Org: 134)
(2,047)
0 2,047
135 📈
(Org: 138)
(2,036)
0.02 2,036
136 ➡️
(Org: 136)
(2,034)
- 2,034
137 ➡️
(Org: 137)
(2,026)
- 2,026
138 📈
(Org: 140)
(2,024)
0.03 2,024
139 📈
(Org: 150)
(2,000)
0.11 2,000
140 📉
(Org: 139)
(1,964)
- 1,964
141 📈
(Org: 147)
(1,962)
0.07 1,962
142 📉
(Org: 141)
(1,960)
- 1,960
143 ➡️
(Org: 143)
(1,947)
0.02 1,947
144 📈
(Org: 189)
(1,900)
0.44 1,900
145 ➡️
(Org: 145)
(1,868)
- 1,868
146 📈
(Org: 198)
(1,845)
0.46 1,845
147 📉
(Org: 146)
(1,837)
- 1,837
148 📈
(Org: 180)
(1,797)
0.36 1,797
149 ➡️
(Org: 149)
(1,787)
0 1,787
150 📈
(Org: 219)
(1,775)
0.52 1,775
151 ➡️
(Org: 151)
(1,726)
0 1,726
152 📈
(Org: 178)
(1,712)
0.31 1,712
153 📈
(Org: 157)
(1,680)
0.06 1,680
154 📉
(Org: 153)
(1,657)
0 1,657
155 📉
(Org: 154)
(1,641)
- 1,641
156 📈
(Org: 159)
(1,622)
0.04 1,622
157 📈
(Org: 177)
(1,606)
0.25 1,606
158 📉
(Org: 156)
(1,591)
- 1,591
159 📉
(Org: 158)
(1,556)
- 1,556
160 📈
(Org: 187)
(1,554)
0.31 1,554
161 📉
(Org: 160)
(1,546)
- 1,546
162 📉
(Org: 161)
(1,508)
- 1,508
163 ➡️
(Org: 163)
(1,502)
0.02 1,502
164 📈
(Org: 188)
(1,489)
0.28 1,489
165 📉
(Org: 162)
(1,482)
- 1,482
166 📉
(Org: 164)
(1,475)
- 1,475
167 📈
(Org: 170)
(1,452)
0.08 1,452
168 📈
(Org: 172)
(1,437)
0.11 1,437
169 📉
(Org: 168)
(1,434)
0.06 1,434
170 📉
(Org: 167)
(1,416)
0.01 1,416
171 📉
(Org: 166)
(1,400)
- 1,400
172 📉
(Org: 169)
(1,389)
0.04 1,389
173 ➡️
(Org: 173)
(1,377)
0.07 1,377
174 📉
(Org: 171)
(1,312)
0.01 1,312
175 📉
(Org: 174)
(1,305)
0.02 1,305
176 ➡️
(Org: 176)
(1,238)
- 1,238
177 📈
(Org: 181)
(1,206)
0.04 1,206
178 📈
(Org: 182)
(1,156)
0.01 1,156
179 📈
(Org: 209)
(1,152)
0.21 1,152
180 📈
(Org: 190)
(1,136)
0.07 1,136
181 📈
(Org: 183)
(1,130)
- 1,130
182 📈
(Org: 232)
(1,113)
0.31 1,113
183 📈
(Org: 184)
(1,098)
- 1,098
184 📈
(Org: 186)
(1,076)
- 1,076
185 📈
(Org: 199)
(1,062)
0.07 1,062
186 📈
(Org: 192)
(1,051)
0.02 1,051
187 📈
(Org: 191)
(1,044)
0 1,044
188 📈
(Org: 193)
(1,027)
- 1,027
188 📈
(Org: 193)
(1,027)
- 1,027
190 📈
(Org: 196)
(1,026)
0 1,026
191 📈
(Org: 195)
(1,023)
- 1,023
192 📈
(Org: 213)
(1,013)
0.13 1,013
193 📈
(Org: 200)
(981)
- 981
194 📈
(Org: 202)
(978)
0.01 978
195 📈
(Org: 217)
(976)
0.12 976
195 📈
(Org: 201)
(976)
- 976
197 📈
(Org: 203)
(970)
- 970
198 📈
(Org: 205)
(954)
0.01 954
199 📈
(Org: 204)
(950)
- 950
200 📈
(Org: 208)
(945)
0.01 945