101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2009 - 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: 107)
(4,271)
0.11 4,271
102 📈
(Org: 169)
(4,260)
0.46 4,260
103 📉
(Org: 99)
(4,233)
0.01 4,233
104 📉
(Org: 100)
(4,193)
0 4,193
105 📉
(Org: 104)
(4,168)
0.05 4,168
106 📈
(Org: 111)
(4,017)
0.08 4,017
107 📉
(Org: 105)
(3,942)
0.01 3,942
108 📈
(Org: 168)
(3,897)
0.41 3,897
109 📈
(Org: 118)
(3,832)
0.08 3,832
110 📉
(Org: 109)
(3,785)
0 3,785
111 📉
(Org: 110)
(3,777)
0.01 3,777
112 📈
(Org: 148)
(3,751)
0.28 3,751
113 📈
(Org: 167)
(3,735)
0.37 3,735
114 📈
(Org: 161)
(3,706)
0.35 3,706
115 📈
(Org: 116)
(3,652)
0.02 3,652
116 📈
(Org: 135)
(3,651)
0.18 3,651
117 📈
(Org: 126)
(3,646)
0.07 3,646
118 📉
(Org: 114)
(3,617)
0 3,617
119 📉
(Org: 115)
(3,575)
0 3,575
120 📉
(Org: 117)
(3,544)
- 3,544
121 📉
(Org: 119)
(3,531)
0.01 3,531
122 📈
(Org: 141)
(3,494)
0.17 3,494
123 📈
(Org: 172)
(3,463)
0.35 3,463
123 📉
(Org: 120)
(3,463)
- 3,463
125 📉
(Org: 121)
(3,443)
- 3,443
126 📉
(Org: 122)
(3,442)
0 3,442
127 📉
(Org: 125)
(3,412)
0.01 3,412
128 📉
(Org: 123)
(3,408)
- 3,408
129 📈
(Org: 152)
(3,379)
0.23 3,379
130 📉
(Org: 128)
(3,336)
- 3,336
131 📈
(Org: 162)
(3,272)
0.27 3,272
132 📉
(Org: 129)
(3,267)
0.01 3,267
133 📉
(Org: 131)
(3,254)
0.04 3,254
134 📈
(Org: 140)
(3,182)
0.08 3,182
135 📉
(Org: 130)
(3,132)
0 3,132
136 📈
(Org: 175)
(3,119)
0.28 3,119
137 📉
(Org: 132)
(3,105)
0.01 3,105
138 📈
(Org: 153)
(3,075)
0.16 3,075
139 📉
(Org: 133)
(3,072)
- 3,072
140 📉
(Org: 136)
(3,000)
0 3,000
141 📉
(Org: 137)
(2,987)
- 2,987
142 📉
(Org: 139)
(2,945)
- 2,945
143 📈
(Org: 146)
(2,847)
0.04 2,847
143 📉
(Org: 142)
(2,847)
- 2,847
145 📈
(Org: 166)
(2,832)
0.17 2,832
146 📉
(Org: 144)
(2,799)
0.02 2,799
147 📈
(Org: 149)
(2,781)
0.04 2,781
148 📉
(Org: 145)
(2,728)
- 2,728
149 📉
(Org: 147)
(2,727)
0 2,727
150 ➡️
(Org: 150)
(2,683)
0.01 2,683
151 ➡️
(Org: 151)
(2,636)
0.01 2,636
152 📈
(Org: 245)
(2,594)
0.44 2,594
153 📈
(Org: 158)
(2,557)
0.03 2,557
154 ➡️
(Org: 154)
(2,556)
0 2,556
155 ➡️
(Org: 155)
(2,519)
0 2,519
156 📈
(Org: 228)
(2,471)
0.35 2,471
157 📈
(Org: 159)
(2,453)
- 2,453
158 📈
(Org: 216)
(2,449)
0.3 2,449
159 📈
(Org: 160)
(2,428)
- 2,428
160 📈
(Org: 163)
(2,416)
0.01 2,416
161 📈
(Org: 165)
(2,407)
0.02 2,407
162 📈
(Org: 176)
(2,387)
0.07 2,387
163 📈
(Org: 164)
(2,367)
- 2,367
164 📈
(Org: 174)
(2,362)
0.05 2,362
165 📈
(Org: 184)
(2,361)
0.13 2,361
166 📈
(Org: 180)
(2,333)
0.1 2,333
167 📈
(Org: 170)
(2,330)
0.01 2,330
168 📈
(Org: 178)
(2,269)
0.06 2,269
169 📈
(Org: 173)
(2,256)
- 2,256
170 📈
(Org: 297)
(2,234)
0.5 2,234
171 📈
(Org: 229)
(2,225)
0.28 2,225
172 📈
(Org: 177)
(2,205)
0 2,205
173 📈
(Org: 483)
(2,202)
0.74 2,202
174 📈
(Org: 235)
(2,155)
0.29 2,155
175 📈
(Org: 183)
(2,130)
0.02 2,130
176 📈
(Org: 179)
(2,126)
- 2,126
177 📈
(Org: 196)
(2,117)
0.08 2,117
178 📈
(Org: 181)
(2,112)
0 2,112
178 📈
(Org: 194)
(2,112)
0.07 2,112
180 📈
(Org: 182)
(2,094)
- 2,094
181 📈
(Org: 189)
(2,075)
0.03 2,075
182 📈
(Org: 186)
(2,046)
0.01 2,046
183 📈
(Org: 213)
(2,038)
0.14 2,038
184 📈
(Org: 187)
(2,017)
- 2,017
185 📈
(Org: 190)
(2,015)
0 2,015
186 📈
(Org: 294)
(2,012)
0.44 2,012
187 📈
(Org: 192)
(2,011)
0.02 2,011
188 📈
(Org: 193)
(2,005)
0.01 2,005
189 📈
(Org: 260)
(1,980)
0.33 1,980
190 📈
(Org: 253)
(1,973)
0.3 1,973
190 📈
(Org: 211)
(1,973)
0.1 1,973
192 📈
(Org: 242)
(1,961)
0.25 1,961
193 📈
(Org: 195)
(1,954)
- 1,954
194 📈
(Org: 196)
(1,951)
- 1,951
195 📈
(Org: 198)
(1,943)
0 1,943
196 📈
(Org: 199)
(1,939)
0.01 1,939
197 📈
(Org: 215)
(1,931)
0.1 1,931
198 📈
(Org: 201)
(1,908)
- 1,908
198 📈
(Org: 222)
(1,908)
0.14 1,908
200 📈
(Org: 202)
(1,897)
- 1,897