101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1997 - 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)
(4,013)
0 4,013
102 📉
(Org: 100)
(3,915)
- 3,915
103 📈
(Org: 104)
(3,876)
0.03 3,876
104 📉
(Org: 103)
(3,870)
0.02 3,870
105 📈
(Org: 165)
(3,857)
0.46 3,857
106 📉
(Org: 102)
(3,848)
0.01 3,848
107 📉
(Org: 101)
(3,840)
- 3,840
108 📈
(Org: 112)
(3,736)
0.1 3,736
109 📉
(Org: 105)
(3,701)
- 3,701
110 📉
(Org: 107)
(3,621)
- 3,621
111 📈
(Org: 114)
(3,611)
0.08 3,611
112 📉
(Org: 111)
(3,580)
0.06 3,580
113 📈
(Org: 116)
(3,553)
0.08 3,553
114 📉
(Org: 113)
(3,391)
0.01 3,391
115 📈
(Org: 124)
(3,381)
0.08 3,381
116 📉
(Org: 115)
(3,315)
- 3,315
117 📈
(Org: 119)
(3,275)
0.03 3,275
118 📉
(Org: 117)
(3,249)
0.01 3,249
119 📉
(Org: 118)
(3,247)
0.02 3,247
120 ➡️
(Org: 120)
(3,222)
0.01 3,222
121 ➡️
(Org: 121)
(3,213)
0.01 3,213
122 📈
(Org: 145)
(3,170)
0.26 3,170
123 ➡️
(Org: 123)
(3,137)
- 3,137
124 📈
(Org: 135)
(3,074)
0.08 3,074
125 📈
(Org: 126)
(3,012)
0.01 3,012
126 📈
(Org: 127)
(2,997)
0.01 2,997
127 📈
(Org: 130)
(2,963)
0.01 2,963
128 📈
(Org: 131)
(2,956)
0.02 2,956
129 📉
(Org: 128)
(2,930)
- 2,930
129 📈
(Org: 133)
(2,930)
0.02 2,930
131 📈
(Org: 136)
(2,778)
0.01 2,778
132 📈
(Org: 137)
(2,774)
0.01 2,774
133 📈
(Org: 138)
(2,716)
0 2,716
134 📈
(Org: 139)
(2,680)
0.01 2,680
135 📈
(Org: 140)
(2,624)
- 2,624
136 📈
(Org: 141)
(2,595)
0 2,595
137 📈
(Org: 163)
(2,560)
0.18 2,560
138 📈
(Org: 151)
(2,513)
0.09 2,513
139 📈
(Org: 144)
(2,499)
0.06 2,499
140 📈
(Org: 206)
(2,435)
0.38 2,435
141 📈
(Org: 147)
(2,378)
0.02 2,378
142 📈
(Org: 148)
(2,337)
0.01 2,337
143 📈
(Org: 146)
(2,323)
- 2,323
144 📈
(Org: 149)
(2,315)
- 2,315
145 📈
(Org: 153)
(2,305)
0.01 2,305
146 📈
(Org: 153)
(2,300)
0 2,300
147 📈
(Org: 150)
(2,298)
- 2,298
148 📈
(Org: 152)
(2,295)
- 2,295
149 📈
(Org: 267)
(2,287)
0.54 2,287
150 📈
(Org: 220)
(2,274)
0.39 2,274
151 📈
(Org: 155)
(2,256)
0.01 2,256
152 📈
(Org: 156)
(2,242)
0.01 2,242
153 📈
(Org: 167)
(2,225)
0.07 2,225
154 📈
(Org: 177)
(2,221)
0.15 2,221
155 📈
(Org: 157)
(2,202)
- 2,202
156 📈
(Org: 159)
(2,199)
0.02 2,199
157 📈
(Org: 158)
(2,177)
- 2,177
158 📈
(Org: 160)
(2,160)
- 2,160
159 📈
(Org: 162)
(2,117)
0 2,117
160 📈
(Org: 161)
(2,115)
- 2,115
161 📈
(Org: 164)
(2,096)
- 2,096
162 📈
(Org: 168)
(2,023)
- 2,023
163 📈
(Org: 169)
(2,012)
0.01 2,012
164 📈
(Org: 170)
(2,003)
0 2,003
165 📈
(Org: 172)
(2,001)
0.01 2,001
166 📈
(Org: 171)
(1,994)
- 1,994
167 📈
(Org: 174)
(1,987)
0.02 1,987
168 📈
(Org: 176)
(1,979)
0.03 1,979
169 📈
(Org: 173)
(1,970)
- 1,970
170 📈
(Org: 175)
(1,944)
- 1,944
171 📈
(Org: 255)
(1,908)
0.42 1,908
172 📈
(Org: 178)
(1,889)
- 1,889
173 📈
(Org: 179)
(1,870)
- 1,870
174 📈
(Org: 199)
(1,857)
0.14 1,857
175 📈
(Org: 193)
(1,849)
0.08 1,849
175 📈
(Org: 192)
(1,849)
0.08 1,849
177 📈
(Org: 208)
(1,840)
0.19 1,840
178 📈
(Org: 181)
(1,824)
- 1,824
179 📈
(Org: 184)
(1,821)
0.01 1,821
180 📈
(Org: 254)
(1,817)
0.38 1,817
181 📈
(Org: 182)
(1,808)
- 1,808
182 📈
(Org: 183)
(1,801)
- 1,801
183 📈
(Org: 187)
(1,800)
0.01 1,800
184 📈
(Org: 186)
(1,792)
0 1,792
185 📈
(Org: 189)
(1,781)
0.01 1,781
186 📈
(Org: 191)
(1,772)
0.03 1,772
187 📈
(Org: 194)
(1,762)
0.04 1,762
188 📈
(Org: 229)
(1,733)
0.22 1,733
189 📈
(Org: 203)
(1,711)
0.1 1,711
190 📈
(Org: 296)
(1,695)
0.44 1,695
191 📈
(Org: 213)
(1,687)
0.14 1,687
192 📈
(Org: 260)
(1,684)
0.35 1,684
193 📈
(Org: 227)
(1,662)
0.18 1,662
194 📈
(Org: 202)
(1,643)
0.04 1,643
195 📈
(Org: 196)
(1,628)
0 1,628
196 📈
(Org: 209)
(1,614)
0.08 1,614
197 📈
(Org: 201)
(1,611)
0.02 1,611
198 ➡️
(Org: 198)
(1,610)
0 1,610
199 📈
(Org: 200)
(1,590)
- 1,590
200 📈
(Org: 204)
(1,579)
0.02 1,579