101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1999 - 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: 99)
(3,978)
0.03 3,978
102 📉
(Org: 97)
(3,945)
0 3,945
103 📉
(Org: 98)
(3,873)
0 3,873
104 ➡️
(Org: 104)
(3,818)
0.06 3,818
105 📉
(Org: 101)
(3,682)
0.01 3,682
106 📉
(Org: 102)
(3,614)
0 3,614
107 📉
(Org: 103)
(3,597)
- 3,597
108 📈
(Org: 110)
(3,497)
0.07 3,497
109 📈
(Org: 202)
(3,478)
0.51 3,478
110 📈
(Org: 112)
(3,475)
0.07 3,475
111 📉
(Org: 105)
(3,453)
0 3,453
112 📉
(Org: 106)
(3,356)
0.01 3,356
113 📉
(Org: 107)
(3,336)
0.01 3,336
114 📉
(Org: 108)
(3,304)
- 3,304
115 📈
(Org: 188)
(3,273)
0.44 3,273
116 📉
(Org: 111)
(3,269)
0.02 3,269
117 📈
(Org: 127)
(3,231)
0.08 3,231
118 📉
(Org: 115)
(3,208)
0.01 3,208
118 📈
(Org: 120)
(3,208)
0.04 3,208
120 📉
(Org: 113)
(3,190)
- 3,190
121 📈
(Org: 158)
(3,172)
0.26 3,172
122 📉
(Org: 116)
(3,161)
0.01 3,161
123 📉
(Org: 121)
(3,130)
0.02 3,130
124 📈
(Org: 137)
(3,113)
0.11 3,113
125 📉
(Org: 122)
(3,095)
0.02 3,095
126 📉
(Org: 125)
(3,094)
0.03 3,094
127 📉
(Org: 123)
(3,076)
0.01 3,076
128 📈
(Org: 172)
(3,025)
0.33 3,025
129 📉
(Org: 126)
(3,021)
0.01 3,021
130 📉
(Org: 124)
(3,011)
- 3,011
131 📉
(Org: 129)
(2,957)
0.01 2,957
132 📈
(Org: 133)
(2,953)
0.04 2,953
133 📉
(Org: 128)
(2,939)
- 2,939
134 📉
(Org: 131)
(2,926)
0.01 2,926
135 📉
(Org: 134)
(2,914)
0.03 2,914
136 📉
(Org: 132)
(2,892)
- 2,892
137 📉
(Org: 136)
(2,840)
0.01 2,840
138 📈
(Org: 140)
(2,766)
0.02 2,766
139 📈
(Org: 141)
(2,714)
0 2,714
140 📈
(Org: 220)
(2,691)
0.43 2,691
141 📈
(Org: 143)
(2,680)
0 2,680
142 📈
(Org: 144)
(2,656)
0 2,656
143 📈
(Org: 150)
(2,646)
0.09 2,646
144 📈
(Org: 145)
(2,630)
- 2,630
145 📈
(Org: 156)
(2,505)
0.06 2,505
146 📈
(Org: 147)
(2,469)
0.01 2,469
147 📈
(Org: 171)
(2,458)
0.17 2,458
148 📈
(Org: 151)
(2,434)
0.02 2,434
149 ➡️
(Org: 149)
(2,425)
0 2,425
150 📉
(Org: 148)
(2,420)
- 2,420
151 📈
(Org: 157)
(2,410)
0.03 2,410
152 📈
(Org: 165)
(2,405)
0.07 2,405
153 📈
(Org: 167)
(2,401)
0.08 2,401
154 📉
(Org: 152)
(2,398)
0.01 2,398
155 📈
(Org: 161)
(2,380)
0.03 2,380
156 📉
(Org: 153)
(2,377)
- 2,377
157 📉
(Org: 154)
(2,370)
- 2,370
158 📉
(Org: 155)
(2,354)
- 2,354
159 📈
(Org: 234)
(2,353)
0.41 2,353
160 📈
(Org: 168)
(2,349)
0.06 2,349
161 📈
(Org: 231)
(2,326)
0.39 2,326
162 📉
(Org: 160)
(2,318)
- 2,318
163 📉
(Org: 162)
(2,291)
- 2,291
164 📉
(Org: 163)
(2,288)
- 2,288
165 📈
(Org: 288)
(2,258)
0.56 2,258
166 📉
(Org: 164)
(2,249)
- 2,249
167 📉
(Org: 166)
(2,213)
- 2,213
168 📈
(Org: 170)
(2,195)
0.01 2,195
169 ➡️
(Org: 169)
(2,175)
- 2,175
170 📈
(Org: 242)
(2,145)
0.39 2,145
171 📈
(Org: 178)
(2,134)
0.08 2,134
172 📈
(Org: 173)
(2,074)
0.02 2,074
173 📈
(Org: 224)
(2,070)
0.27 2,070
174 📈
(Org: 225)
(2,040)
0.27 2,040
175 📉
(Org: 173)
(2,036)
- 2,036
176 📈
(Org: 189)
(2,024)
0.11 2,024
177 📈
(Org: 199)
(2,023)
0.16 2,023
178 📉
(Org: 175)
(2,015)
0 2,015
179 📉
(Org: 176)
(2,007)
0.01 2,007
180 📉
(Org: 179)
(1,986)
0.02 1,986
181 📈
(Org: 196)
(1,969)
0.13 1,969
181 📈
(Org: 281)
(1,969)
0.47 1,969
183 📉
(Org: 177)
(1,965)
0 1,965
184 📉
(Org: 181)
(1,952)
0.01 1,952
185 📉
(Org: 180)
(1,943)
- 1,943
186 📉
(Org: 182)
(1,930)
0 1,930
187 📉
(Org: 183)
(1,915)
- 1,915
188 📈
(Org: 209)
(1,913)
0.14 1,913
189 📉
(Org: 184)
(1,910)
0.01 1,910
190 📈
(Org: 201)
(1,909)
0.11 1,909
191 📈
(Org: 210)
(1,894)
0.14 1,894
192 📈
(Org: 323)
(1,875)
0.54 1,875
193 📉
(Org: 186)
(1,872)
- 1,872
194 📉
(Org: 187)
(1,855)
- 1,855
195 📉
(Org: 191)
(1,842)
0.04 1,842
196 📉
(Org: 195)
(1,837)
0.05 1,837
197 📉
(Org: 190)
(1,783)
- 1,783
198 📉
(Org: 193)
(1,752)
0.01 1,752
199 📈
(Org: 212)
(1,748)
0.07 1,748
200 📉
(Org: 192)
(1,747)
- 1,747