101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1940 - 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)
(2,024)
0 2,024
102 📈
(Org: 103)
(2,020)
0 2,020
103 📈
(Org: 108)
(1,991)
0.05 1,991
104 📈
(Org: 131)
(1,979)
0.28 1,979
105 📉
(Org: 104)
(1,975)
- 1,975
106 📈
(Org: 111)
(1,963)
0.1 1,963
107 📈
(Org: 161)
(1,942)
0.47 1,942
108 📉
(Org: 105)
(1,941)
- 1,941
109 📉
(Org: 106)
(1,910)
- 1,910
110 📉
(Org: 109)
(1,882)
0.02 1,882
111 📉
(Org: 110)
(1,813)
- 1,813
112 ➡️
(Org: 112)
(1,762)
0.01 1,762
113 📈
(Org: 128)
(1,728)
0.16 1,728
114 📉
(Org: 113)
(1,677)
0 1,677
115 📉
(Org: 114)
(1,670)
0.03 1,670
116 📈
(Org: 175)
(1,664)
0.49 1,664
117 📈
(Org: 138)
(1,650)
0.2 1,650
118 📈
(Org: 156)
(1,618)
0.34 1,618
119 📉
(Org: 115)
(1,608)
- 1,608
120 📈
(Org: 126)
(1,604)
0.08 1,604
121 📉
(Org: 116)
(1,591)
- 1,591
122 📉
(Org: 117)
(1,589)
- 1,589
123 📉
(Org: 118)
(1,581)
- 1,581
124 📉
(Org: 120)
(1,567)
- 1,567
125 📉
(Org: 121)
(1,555)
- 1,555
126 📉
(Org: 122)
(1,549)
- 1,549
127 📉
(Org: 125)
(1,532)
0.01 1,532
128 📉
(Org: 124)
(1,531)
- 1,531
129 📉
(Org: 128)
(1,511)
0.04 1,511
130 📉
(Org: 127)
(1,472)
- 1,472
131 📈
(Org: 141)
(1,441)
0.12 1,441
132 📈
(Org: 136)
(1,427)
0.04 1,427
133 📉
(Org: 132)
(1,423)
- 1,423
134 📉
(Org: 133)
(1,397)
- 1,397
135 📉
(Org: 134)
(1,388)
- 1,388
136 📉
(Org: 135)
(1,385)
- 1,385
137 ➡️
(Org: 137)
(1,353)
- 1,353
138 📈
(Org: 176)
(1,348)
0.38 1,348
139 📈
(Org: 142)
(1,314)
0.06 1,314
140 📈
(Org: 145)
(1,307)
0.09 1,307
141 📉
(Org: 139)
(1,291)
- 1,291
142 📈
(Org: 149)
(1,287)
0.09 1,287
143 📉
(Org: 140)
(1,278)
- 1,278
144 📉
(Org: 143)
(1,263)
0.03 1,263
145 📈
(Org: 163)
(1,231)
0.18 1,231
146 📈
(Org: 190)
(1,224)
0.38 1,224
147 📈
(Org: 154)
(1,223)
0.1 1,223
148 📉
(Org: 144)
(1,220)
- 1,220
149 📉
(Org: 146)
(1,172)
- 1,172
150 📉
(Org: 147)
(1,170)
- 1,170
151 📉
(Org: 148)
(1,169)
- 1,169
152 ➡️
(Org: 152)
(1,157)
0.02 1,157
153 📉
(Org: 150)
(1,147)
- 1,147
154 📉
(Org: 151)
(1,140)
- 1,140
155 📈
(Org: 160)
(1,125)
0.07 1,125
156 📈
(Org: 183)
(1,112)
0.28 1,112
157 📉
(Org: 155)
(1,103)
0.01 1,103
158 📉
(Org: 157)
(1,069)
0.01 1,069
159 📉
(Org: 158)
(1,066)
0.02 1,066
160 📈
(Org: 168)
(1,057)
0.12 1,057
161 📉
(Org: 159)
(1,054)
0.01 1,054
162 📈
(Org: 168)
(995)
0.07 995
163 📈
(Org: 164)
(985)
- 985
164 📈
(Org: 165)
(952)
- 952
165 📈
(Org: 195)
(951)
0.28 951
166 ➡️
(Org: 166)
(938)
- 938
167 ➡️
(Org: 167)
(937)
- 937
168 📈
(Org: 217)
(919)
0.37 919
169 📈
(Org: 171)
(911)
- 911
170 📈
(Org: 173)
(870)
0.01 870
170 📈
(Org: 172)
(870)
- 870
172 📈
(Org: 181)
(854)
0.05 854
173 📈
(Org: 274)
(839)
0.5 839
174 📈
(Org: 177)
(824)
- 824
175 📈
(Org: 178)
(814)
- 814
176 📈
(Org: 180)
(813)
- 813
177 📈
(Org: 182)
(807)
- 807
178 📈
(Org: 279)
(801)
0.49 801
179 📈
(Org: 193)
(792)
0.11 792
180 📈
(Org: 185)
(773)
- 773
181 📈
(Org: 242)
(771)
0.35 771
182 📈
(Org: 186)
(769)
- 769
183 📈
(Org: 189)
(762)
0.01 762
183 📈
(Org: 187)
(762)
- 762
185 📈
(Org: 188)
(760)
- 760
186 📈
(Org: 198)
(753)
0.12 753
187 📈
(Org: 199)
(718)
0.08 718
188 📈
(Org: 192)
(716)
- 716
189 📈
(Org: 194)
(692)
- 692
190 📈
(Org: 196)
(677)
- 677
191 📈
(Org: 197)
(675)
- 675
192 📈
(Org: 199)
(661)
- 661
193 📈
(Org: 201)
(659)
- 659
194 📈
(Org: 214)
(657)
0.11 657
194 📈
(Org: 206)
(657)
0.05 657
196 📈
(Org: 268)
(655)
0.33 655
197 📈
(Org: 202)
(652)
0.01 652
198 📈
(Org: 207)
(641)
0.03 641
199 📈
(Org: 323)
(636)
0.52 636
200 📈
(Org: 203)
(635)
- 635