101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1939 - 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: 105)
(1,992)
0.05 1,992
102 ➡️
(Org: 102)
(1,980)
0.02 1,980
103 📉
(Org: 101)
(1,971)
0.01 1,971
104 📈
(Org: 112)
(1,950)
0.1 1,950
105 📈
(Org: 157)
(1,943)
0.48 1,943
106 📉
(Org: 103)
(1,940)
- 1,940
107 📉
(Org: 106)
(1,933)
0.04 1,933
108 📉
(Org: 104)
(1,892)
- 1,892
109 📈
(Org: 130)
(1,868)
0.28 1,868
110 📉
(Org: 108)
(1,842)
- 1,842
111 📉
(Org: 110)
(1,809)
- 1,809
112 📉
(Org: 111)
(1,800)
- 1,800
113 📈
(Org: 168)
(1,741)
0.5 1,741
114 📈
(Org: 120)
(1,736)
0.16 1,736
115 📉
(Org: 113)
(1,617)
- 1,617
116 📉
(Org: 114)
(1,590)
0.01 1,590
117 📉
(Org: 115)
(1,553)
- 1,553
118 📉
(Org: 116)
(1,549)
- 1,549
119 📈
(Org: 152)
(1,544)
0.31 1,544
120 📈
(Org: 138)
(1,536)
0.19 1,536
121 📉
(Org: 117)
(1,525)
0.01 1,525
122 📉
(Org: 118)
(1,494)
- 1,494
123 📈
(Org: 131)
(1,485)
0.11 1,485
124 📉
(Org: 119)
(1,475)
- 1,475
125 📉
(Org: 124)
(1,464)
0.03 1,464
126 📉
(Org: 122)
(1,446)
- 1,446
127 ➡️
(Org: 127)
(1,418)
0.03 1,418
128 📉
(Org: 125)
(1,413)
- 1,413
129 📉
(Org: 126)
(1,394)
- 1,394
130 📈
(Org: 137)
(1,388)
0.08 1,388
131 📉
(Org: 128)
(1,372)
- 1,372
132 📉
(Org: 129)
(1,348)
- 1,348
133 📈
(Org: 136)
(1,337)
0.03 1,337
134 📉
(Org: 133)
(1,328)
0.02 1,328
134 📉
(Org: 132)
(1,328)
- 1,328
136 📉
(Org: 133)
(1,296)
- 1,296
137 📉
(Org: 135)
(1,295)
- 1,295
138 📈
(Org: 179)
(1,259)
0.37 1,259
139 📈
(Org: 141)
(1,249)
0.07 1,249
140 📈
(Org: 183)
(1,247)
0.38 1,247
141 📉
(Org: 140)
(1,227)
0.04 1,227
142 📉
(Org: 139)
(1,208)
- 1,208
143 📉
(Org: 142)
(1,151)
0 1,151
144 📉
(Org: 143)
(1,143)
- 1,143
145 📈
(Org: 146)
(1,140)
0.02 1,140
146 📈
(Org: 156)
(1,121)
0.08 1,121
146 📉
(Org: 145)
(1,121)
- 1,121
148 📈
(Org: 163)
(1,117)
0.13 1,117
149 📉
(Org: 147)
(1,103)
- 1,103
150 📉
(Org: 148)
(1,098)
- 1,098
151 📉
(Org: 149)
(1,087)
0.01 1,087
152 📉
(Org: 151)
(1,070)
- 1,070
153 ➡️
(Org: 153)
(1,067)
- 1,067
154 📈
(Org: 155)
(1,040)
0.01 1,040
155 📈
(Org: 158)
(1,008)
- 1,008
156 📈
(Org: 176)
(1,006)
0.2 1,006
157 📈
(Org: 161)
(1,001)
0 1,001
158 📈
(Org: 159)
(1,000)
- 1,000
159 📈
(Org: 160)
(999)
- 999
160 📈
(Org: 162)
(979)
- 979
161 📈
(Org: 167)
(952)
0.07 952
162 📈
(Org: 170)
(944)
0.08 944
163 📈
(Org: 173)
(940)
0.08 940
164 ➡️
(Org: 164)
(937)
- 937
165 📈
(Org: 166)
(924)
- 924
166 📈
(Org: 168)
(877)
- 877
167 📈
(Org: 207)
(876)
0.33 876
168 📈
(Org: 232)
(850)
0.41 850
169 📈
(Org: 174)
(843)
- 843
170 📈
(Org: 182)
(841)
0.07 841
171 📈
(Org: 258)
(838)
0.48 838
172 📈
(Org: 175)
(834)
- 834
173 📈
(Org: 178)
(801)
- 801
174 📈
(Org: 180)
(785)
- 785
175 📈
(Org: 181)
(783)
- 783
176 📈
(Org: 185)
(776)
0.06 776
176 📈
(Org: 190)
(776)
0.1 776
178 📈
(Org: 184)
(765)
- 765
179 📈
(Org: 261)
(760)
0.44 760
180 📈
(Org: 246)
(748)
0.38 748
181 📈
(Org: 186)
(723)
- 723
182 📈
(Org: 187)
(712)
- 712
183 📈
(Org: 188)
(711)
- 711
184 📈
(Org: 189)
(709)
- 709
185 📈
(Org: 199)
(708)
0.12 708
186 📈
(Org: 191)
(693)
- 693
187 📈
(Org: 201)
(688)
0.1 688
188 📈
(Org: 192)
(680)
- 680
189 📈
(Org: 194)
(668)
0.01 668
190 📈
(Org: 193)
(663)
- 663
191 📈
(Org: 195)
(657)
- 657
192 📈
(Org: 196)
(645)
0.01 645
193 📈
(Org: 254)
(643)
0.3 643
194 📈
(Org: 321)
(632)
0.54 632
194 📈
(Org: 197)
(632)
- 632
196 📈
(Org: 199)
(625)
- 625
197 📈
(Org: 205)
(624)
0.04 624
198 📈
(Org: 208)
(622)
0.06 622
199 📈
(Org: 202)
(621)
- 621
200 📈
(Org: 225)
(620)
0.15 620