101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2007 - 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)
(4,692)
0.06 4,692
102 📉
(Org: 95)
(4,680)
0.01 4,680
103 📈
(Org: 109)
(4,458)
0.11 4,458
104 📉
(Org: 99)
(4,448)
0 4,448
105 📉
(Org: 100)
(4,430)
0 4,430
106 📉
(Org: 103)
(4,287)
0 4,287
107 📉
(Org: 104)
(4,274)
- 4,274
108 📈
(Org: 120)
(4,267)
0.17 4,267
109 📈
(Org: 111)
(4,255)
0.07 4,255
110 📉
(Org: 105)
(4,246)
0.01 4,246
111 📉
(Org: 108)
(4,076)
- 4,076
112 📉
(Org: 110)
(4,026)
0.02 4,026
113 📉
(Org: 112)
(3,902)
0.01 3,902
114 📈
(Org: 139)
(3,819)
0.24 3,819
115 📉
(Org: 114)
(3,796)
- 3,796
116 📉
(Org: 115)
(3,778)
0 3,778
117 📉
(Org: 116)
(3,751)
0 3,751
118 📉
(Org: 117)
(3,681)
0 3,681
119 📈
(Org: 121)
(3,644)
0.03 3,644
120 📈
(Org: 138)
(3,626)
0.18 3,626
121 📈
(Org: 122)
(3,565)
0.04 3,565
122 📈
(Org: 126)
(3,546)
0.07 3,546
123 ➡️
(Org: 123)
(3,500)
0.02 3,500
124 📈
(Org: 220)
(3,482)
0.5 3,482
125 📈
(Org: 129)
(3,451)
0.06 3,451
126 📈
(Org: 193)
(3,404)
0.39 3,404
127 📉
(Org: 124)
(3,385)
0 3,385
128 📈
(Org: 198)
(3,298)
0.38 3,298
129 📉
(Org: 127)
(3,280)
0 3,280
130 📉
(Org: 128)
(3,279)
0 3,279
131 📈
(Org: 189)
(3,272)
0.35 3,272
132 📉
(Org: 130)
(3,256)
0 3,256
133 📉
(Org: 132)
(3,242)
0.01 3,242
134 📉
(Org: 131)
(3,225)
0 3,225
135 📈
(Org: 149)
(3,224)
0.15 3,224
136 ➡️
(Org: 136)
(3,179)
0.04 3,179
137 📉
(Org: 133)
(3,176)
0 3,176
138 📈
(Org: 155)
(3,140)
0.14 3,140
139 📉
(Org: 135)
(3,128)
0.01 3,128
140 📉
(Org: 134)
(3,115)
- 3,115
141 ➡️
(Org: 141)
(2,977)
0.03 2,977
142 📈
(Org: 191)
(2,968)
0.28 2,968
143 📈
(Org: 162)
(2,957)
0.13 2,957
144 📉
(Org: 140)
(2,927)
0.01 2,927
145 📈
(Org: 179)
(2,893)
0.2 2,893
146 📉
(Org: 143)
(2,845)
- 2,845
147 📉
(Org: 145)
(2,827)
- 2,827
148 📉
(Org: 146)
(2,806)
0.01 2,806
149 📉
(Org: 148)
(2,796)
0.01 2,796
150 📈
(Org: 211)
(2,787)
0.34 2,787
151 📈
(Org: 154)
(2,786)
0.03 2,786
152 📉
(Org: 151)
(2,781)
0.02 2,781
153 📉
(Org: 147)
(2,771)
- 2,771
154 📉
(Org: 150)
(2,732)
- 2,732
155 📉
(Org: 153)
(2,729)
0.01 2,729
156 📉
(Org: 152)
(2,721)
- 2,721
157 📈
(Org: 160)
(2,714)
0.04 2,714
158 📉
(Org: 157)
(2,687)
- 2,687
159 📉
(Org: 158)
(2,684)
0.01 2,684
160 📈
(Org: 222)
(2,579)
0.34 2,579
161 ➡️
(Org: 161)
(2,568)
- 2,568
162 📈
(Org: 163)
(2,552)
- 2,552
163 📈
(Org: 164)
(2,534)
0 2,534
164 📈
(Org: 165)
(2,526)
0.01 2,526
165 📈
(Org: 251)
(2,508)
0.44 2,508
166 📈
(Org: 167)
(2,449)
0.01 2,449
167 📈
(Org: 171)
(2,438)
0.02 2,438
168 📈
(Org: 184)
(2,437)
0.08 2,437
169 📈
(Org: 174)
(2,430)
0.03 2,430
170 📉
(Org: 168)
(2,420)
- 2,420
171 📉
(Org: 169)
(2,413)
- 2,413
172 📉
(Org: 170)
(2,403)
- 2,403
173 ➡️
(Org: 173)
(2,396)
0.01 2,396
174 📈
(Org: 177)
(2,347)
0 2,347
175 📈
(Org: 178)
(2,335)
- 2,335
176 📈
(Org: 188)
(2,334)
0.08 2,334
177 📈
(Org: 180)
(2,297)
0 2,297
178 📈
(Org: 181)
(2,292)
0.01 2,292
179 📈
(Org: 280)
(2,279)
0.46 2,279
180 📈
(Org: 194)
(2,276)
0.09 2,276
181 📈
(Org: 197)
(2,262)
0.1 2,262
182 📈
(Org: 183)
(2,243)
- 2,243
183 📈
(Org: 292)
(2,224)
0.47 2,224
183 📈
(Org: 195)
(2,224)
0.07 2,224
185 📈
(Org: 204)
(2,164)
0.11 2,164
186 📈
(Org: 232)
(2,086)
0.23 2,086
187 📈
(Org: 196)
(2,062)
0.01 2,062
188 📈
(Org: 202)
(2,046)
0.04 2,046
189 📈
(Org: 228)
(2,006)
0.19 2,006
190 📈
(Org: 209)
(1,980)
0.06 1,980
191 📈
(Org: 200)
(1,968)
- 1,968
192 📈
(Org: 201)
(1,963)
- 1,963
193 📈
(Org: 271)
(1,942)
0.35 1,942
194 📈
(Org: 210)
(1,931)
0.04 1,931
195 📈
(Org: 206)
(1,930)
0.02 1,930
196 📈
(Org: 205)
(1,927)
- 1,927
197 📈
(Org: 208)
(1,924)
0.02 1,924
198 📈
(Org: 207)
(1,890)
- 1,890
199 📈
(Org: 245)
(1,880)
0.22 1,880
200 📈
(Org: 212)
(1,878)
0.02 1,878