101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1932 - 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: 103)
(1,838)
0.03 1,838
102 📉
(Org: 100)
(1,820)
- 1,820
103 📉
(Org: 101)
(1,813)
- 1,813
104 📈
(Org: 111)
(1,800)
0.11 1,800
105 📉
(Org: 102)
(1,792)
- 1,792
106 📉
(Org: 104)
(1,765)
- 1,765
107 📈
(Org: 124)
(1,714)
0.19 1,714
108 📉
(Org: 105)
(1,710)
- 1,710
108 📉
(Org: 105)
(1,710)
- 1,710
110 📉
(Org: 107)
(1,677)
0.01 1,677
111 📉
(Org: 108)
(1,662)
0 1,662
112 📉
(Org: 109)
(1,640)
0.02 1,640
113 📈
(Org: 115)
(1,617)
0.05 1,617
114 📉
(Org: 110)
(1,612)
- 1,612
115 📉
(Org: 112)
(1,607)
- 1,607
116 📉
(Org: 114)
(1,579)
- 1,579
117 📉
(Org: 116)
(1,538)
- 1,538
118 📉
(Org: 117)
(1,525)
- 1,525
119 📈
(Org: 121)
(1,522)
0.07 1,522
120 📈
(Org: 126)
(1,509)
0.1 1,509
121 📈
(Org: 167)
(1,476)
0.4 1,476
122 📈
(Org: 123)
(1,469)
0.04 1,469
123 📉
(Org: 119)
(1,454)
- 1,454
123 📉
(Org: 119)
(1,454)
- 1,454
125 📈
(Org: 154)
(1,372)
0.28 1,372
126 📉
(Org: 125)
(1,357)
- 1,357
126 📈
(Org: 130)
(1,357)
0.03 1,357
128 📈
(Org: 140)
(1,355)
0.11 1,355
129 📈
(Org: 161)
(1,340)
0.3 1,340
130 📉
(Org: 127)
(1,339)
- 1,339
131 📈
(Org: 133)
(1,338)
0.02 1,338
132 📉
(Org: 128)
(1,329)
0.01 1,329
133 📉
(Org: 131)
(1,323)
0.01 1,323
134 📉
(Org: 129)
(1,318)
- 1,318
135 📉
(Org: 131)
(1,316)
- 1,316
136 📉
(Org: 135)
(1,307)
- 1,307
137 📉
(Org: 136)
(1,295)
- 1,295
138 📈
(Org: 179)
(1,284)
0.41 1,284
139 📈
(Org: 176)
(1,283)
0.39 1,283
140 📉
(Org: 138)
(1,255)
- 1,255
141 📉
(Org: 139)
(1,228)
- 1,228
142 📈
(Org: 173)
(1,222)
0.33 1,222
143 📉
(Org: 142)
(1,208)
0.03 1,208
144 ➡️
(Org: 144)
(1,183)
0.04 1,183
145 📉
(Org: 143)
(1,154)
- 1,154
146 📈
(Org: 152)
(1,126)
0.1 1,126
146 📉
(Org: 145)
(1,126)
0.01 1,126
148 📉
(Org: 146)
(1,087)
- 1,087
149 📈
(Org: 219)
(1,079)
0.49 1,079
150 📈
(Org: 166)
(1,074)
0.15 1,074
151 📈
(Org: 163)
(1,070)
0.14 1,070
152 📉
(Org: 147)
(1,067)
- 1,067
153 📈
(Org: 158)
(1,055)
0.09 1,055
153 📉
(Org: 148)
(1,055)
- 1,055
155 📉
(Org: 149)
(1,053)
- 1,053
156 📉
(Org: 150)
(1,052)
0 1,052
157 📉
(Org: 151)
(1,038)
- 1,038
158 ➡️
(Org: 158)
(1,011)
0.05 1,011
159 📉
(Org: 153)
(1,008)
- 1,008
160 📈
(Org: 190)
(985)
0.3 985
161 📉
(Org: 155)
(977)
0.01 977
162 📉
(Org: 157)
(966)
0.01 966
163 📉
(Org: 156)
(965)
- 965
164 📉
(Org: 161)
(941)
0.01 941
165 📉
(Org: 164)
(922)
- 922
166 📉
(Org: 165)
(911)
- 911
167 📈
(Org: 170)
(893)
0.04 893
168 📈
(Org: 174)
(892)
0.09 892
169 📉
(Org: 167)
(883)
- 883
170 📈
(Org: 171)
(832)
- 832
171 📈
(Org: 172)
(829)
- 829
172 📈
(Org: 188)
(803)
0.13 803
173 📈
(Org: 175)
(787)
- 787
174 📈
(Org: 177)
(780)
- 780
175 📈
(Org: 178)
(774)
- 774
176 📈
(Org: 185)
(761)
0.06 761
177 📈
(Org: 180)
(757)
- 757
178 📈
(Org: 181)
(751)
- 751
179 📈
(Org: 187)
(750)
0.05 750
180 📈
(Org: 183)
(745)
0.01 745
181 📈
(Org: 247)
(742)
0.37 742
182 ➡️
(Org: 182)
(741)
- 741
183 📈
(Org: 184)
(717)
- 717
184 📈
(Org: 186)
(714)
- 714
185 📈
(Org: 200)
(708)
0.1 708
186 📈
(Org: 273)
(707)
0.44 707
187 📈
(Org: 250)
(706)
0.34 706
188 📈
(Org: 210)
(703)
0.16 703
189 📈
(Org: 290)
(701)
0.5 701
190 📉
(Org: 189)
(700)
- 700
191 📈
(Org: 284)
(686)
0.47 686
191 📈
(Org: 197)
(686)
0.05 686
193 📉
(Org: 192)
(683)
- 683
194 📈
(Org: 195)
(677)
0.03 677
195 📉
(Org: 194)
(661)
- 661
196 📈
(Org: 199)
(655)
0.02 655
196 📈
(Org: 198)
(655)
0.01 655
198 📉
(Org: 195)
(654)
- 654
199 📈
(Org: 238)
(653)
0.24 653
200 📈
(Org: 201)
(651)
0.02 651