101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1943 - 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: 99)
(2,578)
- 2,578
102 📈
(Org: 115)
(2,500)
0.13 2,500
103 📉
(Org: 102)
(2,480)
- 2,480
104 📉
(Org: 103)
(2,451)
- 2,451
105 📈
(Org: 106)
(2,426)
0 2,426
106 📈
(Org: 108)
(2,401)
0.01 2,401
107 ➡️
(Org: 107)
(2,388)
- 2,388
108 📈
(Org: 109)
(2,322)
0.01 2,322
109 📈
(Org: 120)
(2,294)
0.15 2,294
110 📈
(Org: 111)
(2,280)
0.02 2,280
111 📉
(Org: 110)
(2,275)
- 2,275
112 ➡️
(Org: 112)
(2,233)
0 2,233
113 ➡️
(Org: 113)
(2,203)
- 2,203
113 📈
(Org: 114)
(2,203)
0 2,203
115 📈
(Org: 140)
(2,095)
0.27 2,095
116 📈
(Org: 117)
(2,093)
- 2,093
117 📈
(Org: 122)
(2,043)
0.1 2,043
118 📈
(Org: 119)
(2,040)
0.03 2,040
119 📈
(Org: 165)
(2,018)
0.45 2,018
120 📈
(Org: 121)
(1,985)
0.03 1,985
121 📉
(Org: 118)
(1,984)
- 1,984
122 📈
(Org: 135)
(1,927)
0.14 1,927
123 📈
(Org: 124)
(1,891)
0.06 1,891
124 📈
(Org: 143)
(1,860)
0.2 1,860
125 📉
(Org: 123)
(1,816)
- 1,816
126 📈
(Org: 176)
(1,810)
0.47 1,810
127 📈
(Org: 130)
(1,780)
0.03 1,780
128 📉
(Org: 126)
(1,766)
0 1,766
129 📉
(Org: 125)
(1,764)
- 1,764
130 📉
(Org: 128)
(1,745)
- 1,745
131 📉
(Org: 129)
(1,732)
0 1,732
132 📈
(Org: 162)
(1,725)
0.33 1,725
133 📉
(Org: 131)
(1,705)
- 1,705
134 📉
(Org: 133)
(1,700)
0 1,700
135 📉
(Org: 132)
(1,697)
- 1,697
136 📉
(Org: 134)
(1,678)
0 1,678
137 📉
(Org: 136)
(1,639)
- 1,639
138 📉
(Org: 137)
(1,630)
- 1,630
139 📉
(Org: 138)
(1,622)
- 1,622
140 📈
(Org: 148)
(1,581)
0.09 1,581
141 📉
(Org: 139)
(1,549)
0.01 1,549
142 ➡️
(Org: 142)
(1,539)
0.02 1,539
143 📈
(Org: 147)
(1,535)
0.06 1,535
144 📈
(Org: 145)
(1,525)
0.05 1,525
145 📈
(Org: 150)
(1,515)
0.09 1,515
146 📉
(Org: 141)
(1,508)
- 1,508
147 📈
(Org: 152)
(1,466)
0.07 1,466
148 📈
(Org: 191)
(1,434)
0.41 1,434
149 ➡️
(Org: 149)
(1,430)
- 1,430
150 📈
(Org: 151)
(1,373)
- 1,373
151 📈
(Org: 179)
(1,348)
0.31 1,348
152 📈
(Org: 153)
(1,322)
- 1,322
153 📈
(Org: 154)
(1,311)
- 1,311
154 📈
(Org: 155)
(1,310)
0.03 1,310
155 📈
(Org: 183)
(1,303)
0.31 1,303
156 📈
(Org: 161)
(1,277)
0.08 1,277
157 📉
(Org: 156)
(1,259)
0 1,259
158 📈
(Org: 195)
(1,249)
0.34 1,249
159 📉
(Org: 157)
(1,248)
0.01 1,248
160 📉
(Org: 158)
(1,234)
- 1,234
161 📉
(Org: 159)
(1,231)
- 1,231
162 📉
(Org: 160)
(1,217)
0.01 1,217
163 📈
(Org: 174)
(1,141)
0.12 1,141
164 ➡️
(Org: 164)
(1,138)
0.01 1,138
165 📉
(Org: 163)
(1,134)
- 1,134
166 📈
(Org: 171)
(1,114)
0.08 1,114
167 📈
(Org: 173)
(1,092)
0.07 1,092
168 📉
(Org: 167)
(1,089)
- 1,089
169 📈
(Org: 172)
(1,084)
0.06 1,084
170 📉
(Org: 168)
(1,082)
- 1,082
171 📉
(Org: 170)
(1,076)
0.01 1,076
172 📉
(Org: 169)
(1,073)
- 1,073
173 📈
(Org: 175)
(993)
- 993
174 📈
(Org: 219)
(988)
0.33 988
175 📈
(Org: 178)
(925)
- 925
176 📈
(Org: 180)
(920)
- 920
177 📈
(Org: 277)
(914)
0.47 914
178 📈
(Org: 197)
(904)
0.09 904
179 📈
(Org: 185)
(897)
0.01 897
180 📈
(Org: 229)
(891)
0.3 891
181 📈
(Org: 184)
(888)
- 888
182 📈
(Org: 186)
(875)
- 875
183 📈
(Org: 229)
(872)
0.28 872
184 📈
(Org: 187)
(864)
0.01 864
185 📈
(Org: 188)
(855)
- 855
186 📈
(Org: 199)
(847)
0.04 847
187 📈
(Org: 190)
(843)
- 843
188 📈
(Org: 194)
(837)
0.01 837
189 📈
(Org: 192)
(835)
- 835
189 📈
(Org: 192)
(835)
- 835
191 📈
(Org: 196)
(823)
- 823
192 📈
(Org: 309)
(813)
0.51 813
192 📈
(Org: 198)
(813)
- 813
194 📈
(Org: 209)
(811)
0.09 811
195 📈
(Org: 201)
(808)
0.01 808
196 📈
(Org: 200)
(807)
- 807
197 📈
(Org: 203)
(794)
- 794
198 📈
(Org: 204)
(788)
- 788
199 📈
(Org: 260)
(781)
0.3 781
200 📈
(Org: 214)
(773)
0.12 773