101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1941 - 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: 130)
(2,092)
0.27 2,092
102 📈
(Org: 103)
(2,074)
- 2,074
103 📈
(Org: 110)
(2,066)
0.05 2,066
104 📈
(Org: 106)
(2,062)
0.02 2,062
105 📉
(Org: 104)
(2,049)
- 2,049
106 📉
(Org: 105)
(2,043)
- 2,043
107 ➡️
(Org: 107)
(2,016)
- 2,016
108 ➡️
(Org: 108)
(1,976)
- 1,976
109 📈
(Org: 134)
(1,973)
0.24 1,973
110 📈
(Org: 115)
(1,964)
0.11 1,964
111 ➡️
(Org: 111)
(1,933)
- 1,933
112 📈
(Org: 163)
(1,902)
0.46 1,902
113 ➡️
(Org: 113)
(1,882)
0.01 1,882
114 📉
(Org: 112)
(1,881)
- 1,881
115 📈
(Org: 122)
(1,831)
0.11 1,831
116 📈
(Org: 131)
(1,793)
0.16 1,793
117 📉
(Org: 114)
(1,779)
- 1,779
118 📈
(Org: 120)
(1,755)
0.06 1,755
119 📉
(Org: 116)
(1,732)
0 1,732
120 📈
(Org: 138)
(1,712)
0.18 1,712
121 📉
(Org: 117)
(1,704)
- 1,704
122 📈
(Org: 180)
(1,673)
0.5 1,673
123 📉
(Org: 119)
(1,668)
0.01 1,668
124 📉
(Org: 118)
(1,667)
- 1,667
125 📈
(Org: 161)
(1,654)
0.35 1,654
126 📉
(Org: 124)
(1,638)
0.04 1,638
127 📉
(Org: 121)
(1,632)
- 1,632
128 📉
(Org: 126)
(1,604)
0.03 1,604
129 📉
(Org: 123)
(1,600)
- 1,600
130 📉
(Org: 125)
(1,571)
0.01 1,571
131 📉
(Org: 127)
(1,551)
- 1,551
132 📉
(Org: 129)
(1,534)
- 1,534
133 📉
(Org: 132)
(1,512)
- 1,512
134 📉
(Org: 133)
(1,510)
- 1,510
135 ➡️
(Org: 135)
(1,492)
- 1,492
136 ➡️
(Org: 136)
(1,448)
- 1,448
137 📈
(Org: 141)
(1,446)
0.07 1,446
138 📈
(Org: 144)
(1,434)
0.1 1,434
139 📉
(Org: 137)
(1,421)
0 1,421
140 ➡️
(Org: 140)
(1,385)
- 1,385
141 📈
(Org: 182)
(1,365)
0.39 1,365
142 📈
(Org: 153)
(1,359)
0.17 1,359
143 📈
(Org: 146)
(1,343)
0.1 1,343
144 📉
(Org: 142)
(1,339)
- 1,339
145 📉
(Org: 143)
(1,329)
0.03 1,329
146 📉
(Org: 145)
(1,296)
0.05 1,296
147 📈
(Org: 151)
(1,290)
0.08 1,290
148 📈
(Org: 188)
(1,230)
0.36 1,230
149 📈
(Org: 173)
(1,220)
0.27 1,220
150 📉
(Org: 147)
(1,202)
- 1,202
151 📉
(Org: 149)
(1,194)
- 1,194
152 📉
(Org: 150)
(1,191)
- 1,191
153 📉
(Org: 152)
(1,160)
0.01 1,160
154 📈
(Org: 157)
(1,130)
0.03 1,130
155 📈
(Org: 166)
(1,127)
0.12 1,127
155 📈
(Org: 158)
(1,127)
0.03 1,127
157 📉
(Org: 154)
(1,120)
- 1,120
158 📉
(Org: 155)
(1,117)
- 1,117
159 📉
(Org: 156)
(1,108)
0.01 1,108
160 ➡️
(Org: 160)
(1,093)
0.01 1,093
161 📉
(Org: 159)
(1,085)
- 1,085
162 📈
(Org: 164)
(1,035)
0.01 1,035
163 📈
(Org: 165)
(1,021)
- 1,021
164 📈
(Org: 208)
(1,007)
0.35 1,007
165 📈
(Org: 166)
(989)
- 989
166 📈
(Org: 172)
(975)
0.09 975
167 📈
(Org: 168)
(945)
0.01 945
168 📈
(Org: 169)
(931)
- 931
169 📈
(Org: 175)
(929)
0.06 929
170 ➡️
(Org: 170)
(923)
- 923
171 ➡️
(Org: 171)
(893)
- 893
172 📈
(Org: 176)
(870)
0.01 870
173 📈
(Org: 177)
(864)
- 864
174 📈
(Org: 266)
(860)
0.48 860
175 📈
(Org: 224)
(858)
0.33 858
176 📈
(Org: 179)
(843)
- 843
177 📈
(Org: 183)
(824)
- 824
178 📈
(Org: 184)
(818)
- 818
179 📈
(Org: 198)
(809)
0.1 809
180 📈
(Org: 195)
(801)
0.08 801
181 📈
(Org: 282)
(796)
0.48 796
182 📈
(Org: 186)
(791)
- 791
182 📈
(Org: 187)
(791)
0.01 791
184 📈
(Org: 199)
(778)
0.1 778
185 📈
(Org: 189)
(776)
- 776
186 📈
(Org: 190)
(767)
- 767
187 📈
(Org: 191)
(760)
- 760
188 📈
(Org: 192)
(756)
- 756
189 📈
(Org: 193)
(742)
- 742
190 📈
(Org: 204)
(739)
0.1 739
191 📈
(Org: 194)
(737)
- 737
192 📈
(Org: 196)
(731)
- 731
193 📈
(Org: 258)
(705)
0.35 705
194 📈
(Org: 213)
(704)
0.1 704
195 📈
(Org: 200)
(689)
- 689
196 📈
(Org: 203)
(686)
0.02 686
197 📈
(Org: 201)
(685)
- 685
198 📈
(Org: 202)
(676)
- 676
199 📈
(Org: 205)
(663)
- 663
200 📈
(Org: 206)
(661)
- 661