101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1944 - 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: 100)
(2,349)
- 2,349
102 📈
(Org: 116)
(2,337)
0.16 2,337
103 📈
(Org: 104)
(2,322)
0.01 2,322
104 📈
(Org: 105)
(2,297)
0.01 2,297
105 📈
(Org: 106)
(2,238)
- 2,238
106 📈
(Org: 107)
(2,162)
- 2,162
107 📈
(Org: 108)
(2,151)
- 2,151
108 📈
(Org: 109)
(2,133)
- 2,133
109 📈
(Org: 133)
(2,114)
0.25 2,114
110 ➡️
(Org: 110)
(2,100)
0 2,100
111 📈
(Org: 120)
(2,087)
0.1 2,087
112 📉
(Org: 111)
(2,081)
- 2,081
113 📈
(Org: 114)
(2,041)
0.03 2,041
114 📉
(Org: 113)
(2,029)
- 2,029
115 📈
(Org: 118)
(1,991)
0.02 1,991
116 📉
(Org: 115)
(1,967)
- 1,967
117 ➡️
(Org: 117)
(1,959)
0 1,959
118 📈
(Org: 119)
(1,924)
- 1,924
119 📈
(Org: 131)
(1,895)
0.15 1,895
120 📈
(Org: 121)
(1,861)
0.02 1,861
121 📈
(Org: 168)
(1,851)
0.45 1,851
122 📈
(Org: 138)
(1,847)
0.18 1,847
123 ➡️
(Org: 123)
(1,781)
- 1,781
124 📈
(Org: 128)
(1,751)
0.06 1,751
124 ➡️
(Org: 124)
(1,751)
- 1,751
126 📈
(Org: 161)
(1,745)
0.35 1,745
127 📈
(Org: 181)
(1,722)
0.48 1,722
128 📉
(Org: 125)
(1,714)
- 1,714
129 📈
(Org: 130)
(1,676)
0.03 1,676
130 📉
(Org: 126)
(1,650)
- 1,650
131 📉
(Org: 127)
(1,649)
- 1,649
131 📉
(Org: 129)
(1,649)
0 1,649
133 📈
(Org: 134)
(1,617)
0.03 1,617
134 📉
(Org: 132)
(1,601)
0.01 1,601
135 ➡️
(Org: 135)
(1,561)
- 1,561
136 📈
(Org: 143)
(1,555)
0.04 1,555
137 📉
(Org: 136)
(1,554)
- 1,554
138 📉
(Org: 137)
(1,522)
- 1,522
139 ➡️
(Org: 139)
(1,512)
- 1,512
140 📈
(Org: 144)
(1,504)
0.01 1,504
140 ➡️
(Org: 140)
(1,504)
- 1,504
142 📉
(Org: 141)
(1,501)
- 1,501
143 📉
(Org: 142)
(1,499)
- 1,499
144 📈
(Org: 150)
(1,487)
0.08 1,487
145 ➡️
(Org: 145)
(1,461)
- 1,461
146 ➡️
(Org: 146)
(1,457)
- 1,457
147 📈
(Org: 155)
(1,425)
0.11 1,425
148 📈
(Org: 173)
(1,407)
0.31 1,407
149 ➡️
(Org: 149)
(1,400)
- 1,400
150 📈
(Org: 154)
(1,392)
0.07 1,392
151 📈
(Org: 153)
(1,391)
0.07 1,391
152 📈
(Org: 183)
(1,384)
0.38 1,384
153 📈
(Org: 156)
(1,345)
0.08 1,345
154 📉
(Org: 151)
(1,340)
0.01 1,340
155 📉
(Org: 152)
(1,305)
- 1,305
156 📈
(Org: 158)
(1,289)
0.07 1,289
157 ➡️
(Org: 157)
(1,212)
- 1,212
158 📈
(Org: 159)
(1,194)
0.02 1,194
159 📈
(Org: 160)
(1,184)
0.02 1,184
160 📈
(Org: 192)
(1,143)
0.3 1,143
161 📈
(Org: 162)
(1,137)
0.01 1,137
162 📈
(Org: 174)
(1,126)
0.14 1,126
163 ➡️
(Org: 163)
(1,125)
- 1,125
164 ➡️
(Org: 164)
(1,069)
- 1,069
164 📈
(Org: 165)
(1,069)
0 1,069
166 📈
(Org: 169)
(1,065)
0.05 1,065
167 📉
(Org: 166)
(1,039)
- 1,039
168 📈
(Org: 208)
(1,024)
0.31 1,024
169 📈
(Org: 170)
(1,001)
- 1,001
170 📈
(Org: 171)
(989)
0.01 989
171 📈
(Org: 180)
(979)
0.08 979
172 ➡️
(Org: 172)
(976)
- 976
173 📈
(Org: 175)
(961)
0.01 961
174 📈
(Org: 176)
(942)
0.01 942
175 📈
(Org: 177)
(928)
- 928
176 📈
(Org: 178)
(911)
- 911
177 📈
(Org: 179)
(902)
- 902
178 📈
(Org: 183)
(864)
- 864
179 📈
(Org: 289)
(853)
0.51 853
179 📈
(Org: 185)
(853)
- 853
181 📈
(Org: 195)
(841)
0.09 841
182 📈
(Org: 243)
(826)
0.33 826
182 📈
(Org: 223)
(826)
0.26 826
184 📈
(Org: 189)
(820)
0.01 820
185 📈
(Org: 222)
(818)
0.25 818
186 📈
(Org: 198)
(817)
0.07 817
187 📈
(Org: 290)
(813)
0.48 813
188 📈
(Org: 191)
(809)
0.01 809
189 📈
(Org: 190)
(808)
- 808
190 📈
(Org: 193)
(783)
- 783
191 📈
(Org: 194)
(780)
- 780
192 📈
(Org: 195)
(765)
- 765
193 📈
(Org: 197)
(760)
- 760
194 📈
(Org: 199)
(752)
- 752
195 📈
(Org: 201)
(746)
0.01 746
196 📈
(Org: 200)
(745)
- 745
197 📈
(Org: 201)
(741)
- 741
198 📈
(Org: 262)
(734)
0.31 734
199 📈
(Org: 205)
(729)
0.01 729
200 📈
(Org: 209)
(721)
0.03 721