101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1924 - 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: 104)
(1,892)
0.1 1,892
102 📉
(Org: 96)
(1,878)
- 1,878
103 📈
(Org: 132)
(1,856)
0.29 1,856
104 📉
(Org: 97)
(1,834)
- 1,834
105 📈
(Org: 106)
(1,827)
0.09 1,827
106 📉
(Org: 99)
(1,819)
- 1,819
107 📉
(Org: 100)
(1,797)
- 1,797
108 📈
(Org: 122)
(1,739)
0.14 1,739
109 📉
(Org: 105)
(1,727)
0.03 1,727
110 📉
(Org: 107)
(1,704)
0.02 1,704
111 📉
(Org: 107)
(1,664)
- 1,664
112 📉
(Org: 109)
(1,647)
- 1,647
113 📉
(Org: 112)
(1,629)
0.01 1,629
113 📈
(Org: 119)
(1,629)
0.08 1,629
115 📉
(Org: 111)
(1,627)
- 1,627
116 📉
(Org: 113)
(1,621)
0.02 1,621
117 📈
(Org: 135)
(1,610)
0.21 1,610
118 📉
(Org: 114)
(1,581)
0 1,581
119 📉
(Org: 117)
(1,569)
0.03 1,569
120 📉
(Org: 115)
(1,551)
- 1,551
121 📉
(Org: 116)
(1,541)
- 1,541
122 📈
(Org: 148)
(1,517)
0.26 1,517
123 📉
(Org: 121)
(1,511)
0.01 1,511
124 📈
(Org: 187)
(1,508)
0.49 1,508
125 📈
(Org: 179)
(1,502)
0.47 1,502
125 ➡️
(Org: 125)
(1,502)
0.03 1,502
127 📉
(Org: 123)
(1,486)
0.01 1,486
128 📉
(Org: 126)
(1,397)
- 1,397
129 📉
(Org: 127)
(1,396)
- 1,396
130 📉
(Org: 128)
(1,393)
- 1,393
131 ➡️
(Org: 131)
(1,390)
0.03 1,390
132 📉
(Org: 129)
(1,381)
- 1,381
133 📉
(Org: 130)
(1,360)
- 1,360
134 ➡️
(Org: 134)
(1,352)
0.05 1,352
135 📉
(Org: 133)
(1,311)
- 1,311
136 📈
(Org: 168)
(1,294)
0.33 1,294
137 📉
(Org: 136)
(1,280)
0.01 1,280
138 ➡️
(Org: 138)
(1,278)
0.04 1,278
138 📉
(Org: 137)
(1,278)
0.01 1,278
140 📉
(Org: 139)
(1,219)
- 1,219
141 📈
(Org: 144)
(1,207)
0.05 1,207
142 📉
(Org: 140)
(1,172)
- 1,172
143 📉
(Org: 141)
(1,170)
- 1,170
144 📉
(Org: 142)
(1,167)
- 1,167
145 📈
(Org: 152)
(1,166)
0.1 1,166
145 📉
(Org: 143)
(1,166)
- 1,166
147 📉
(Org: 146)
(1,164)
0.02 1,164
148 📉
(Org: 147)
(1,121)
- 1,121
149 📈
(Org: 158)
(1,105)
0.09 1,105
150 📉
(Org: 149)
(1,102)
0 1,102
151 📈
(Org: 156)
(1,088)
0.05 1,088
152 📉
(Org: 150)
(1,081)
0.01 1,081
153 📈
(Org: 235)
(1,066)
0.46 1,066
154 📉
(Org: 151)
(1,055)
- 1,055
155 📈
(Org: 171)
(1,042)
0.18 1,042
156 📉
(Org: 153)
(1,039)
- 1,039
157 📉
(Org: 154)
(1,037)
- 1,037
158 📉
(Org: 155)
(1,035)
- 1,035
159 📉
(Org: 157)
(1,025)
- 1,025
160 📉
(Org: 159)
(1,016)
0.02 1,016
161 📉
(Org: 160)
(992)
- 992
162 📉
(Org: 161)
(988)
- 988
162 📈
(Org: 257)
(988)
0.49 988
164 📉
(Org: 162)
(978)
- 978
165 📈
(Org: 248)
(977)
0.45 977
165 📈
(Org: 191)
(977)
0.25 977
167 📉
(Org: 163)
(970)
- 970
168 📈
(Org: 200)
(964)
0.28 964
169 📉
(Org: 164)
(963)
- 963
170 📉
(Org: 165)
(959)
- 959
171 📈
(Org: 207)
(957)
0.3 957
172 📈
(Org: 184)
(956)
0.18 956
173 📈
(Org: 181)
(937)
0.16 937
174 📉
(Org: 169)
(921)
0.07 921
175 📈
(Org: 273)
(895)
0.51 895
176 📈
(Org: 178)
(865)
0.07 865
177 📉
(Org: 170)
(854)
- 854
178 📉
(Org: 172)
(853)
0.01 853
179 📉
(Org: 177)
(836)
0.03 836
180 📉
(Org: 173)
(834)
- 834
181 📉
(Org: 174)
(831)
- 831
182 📉
(Org: 175)
(824)
0.01 824
183 📉
(Org: 176)
(815)
- 815
184 📉
(Org: 179)
(800)
- 800
184 📉
(Org: 182)
(800)
0.02 800
186 📉
(Org: 185)
(798)
0.03 798
187 📉
(Org: 186)
(796)
0.03 796
188 📉
(Org: 183)
(785)
- 785
189 📈
(Org: 196)
(778)
0.08 778
190 📈
(Org: 203)
(773)
0.12 773
191 📈
(Org: 199)
(763)
0.08 763
192 📉
(Org: 188)
(753)
- 753
193 📉
(Org: 189)
(747)
- 747
194 📈
(Org: 255)
(740)
0.31 740
194 📉
(Org: 190)
(740)
- 740
196 📉
(Org: 195)
(735)
0.01 735
197 📈
(Org: 198)
(728)
0.03 728
197 📉
(Org: 193)
(728)
- 728
197 📉
(Org: 193)
(728)
- 728
200 📈
(Org: 211)
(709)
0.1 709