101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1993 - 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: 104)
(3,567)
0.02 3,567
102 📈
(Org: 103)
(3,551)
0 3,551
103 📈
(Org: 133)
(3,550)
0.29 3,550
104 📈
(Org: 106)
(3,534)
0.04 3,534
105 📈
(Org: 126)
(3,421)
0.2 3,421
106 📈
(Org: 107)
(3,416)
0.01 3,416
107 📈
(Org: 113)
(3,368)
0.06 3,368
108 ➡️
(Org: 108)
(3,346)
0 3,346
109 ➡️
(Org: 109)
(3,287)
0.01 3,287
110 📈
(Org: 111)
(3,204)
0 3,204
111 📈
(Org: 114)
(3,193)
0.02 3,193
112 📈
(Org: 116)
(3,167)
0.05 3,167
113 📈
(Org: 119)
(3,050)
0.03 3,050
114 📈
(Org: 115)
(3,036)
- 3,036
115 📈
(Org: 120)
(3,005)
0.02 3,005
116 📈
(Org: 118)
(2,996)
- 2,996
117 📈
(Org: 122)
(2,882)
- 2,882
118 📈
(Org: 123)
(2,872)
0.01 2,872
119 📈
(Org: 127)
(2,857)
0.05 2,857
120 📈
(Org: 130)
(2,854)
0.07 2,854
121 📈
(Org: 124)
(2,853)
0.01 2,853
122 📈
(Org: 125)
(2,794)
- 2,794
123 📈
(Org: 131)
(2,648)
- 2,648
124 📈
(Org: 153)
(2,580)
0.19 2,580
125 📈
(Org: 143)
(2,575)
0.06 2,575
126 📈
(Org: 132)
(2,570)
0 2,570
127 📈
(Org: 135)
(2,539)
0.02 2,539
128 📈
(Org: 137)
(2,511)
0.01 2,511
129 📈
(Org: 134)
(2,504)
- 2,504
130 📈
(Org: 136)
(2,502)
0.01 2,502
131 📈
(Org: 180)
(2,494)
0.28 2,494
132 📈
(Org: 139)
(2,493)
0.01 2,493
133 📈
(Org: 138)
(2,469)
- 2,469
134 📈
(Org: 140)
(2,460)
0 2,460
135 📈
(Org: 141)
(2,447)
- 2,447
136 📈
(Org: 142)
(2,433)
- 2,433
137 📈
(Org: 161)
(2,400)
0.17 2,400
138 📈
(Org: 193)
(2,305)
0.31 2,305
139 📈
(Org: 145)
(2,302)
- 2,302
140 📈
(Org: 146)
(2,281)
- 2,281
141 📈
(Org: 163)
(2,268)
0.13 2,268
142 📈
(Org: 148)
(2,262)
- 2,262
143 📈
(Org: 150)
(2,189)
0 2,189
144 📈
(Org: 151)
(2,160)
- 2,160
145 📈
(Org: 152)
(2,103)
- 2,103
146 📈
(Org: 154)
(2,090)
- 2,090
147 📈
(Org: 164)
(2,083)
0.06 2,083
148 📈
(Org: 155)
(2,081)
- 2,081
149 📈
(Org: 156)
(2,080)
0.01 2,080
150 📈
(Org: 252)
(2,063)
0.45 2,063
151 📈
(Org: 159)
(2,061)
0.01 2,061
152 📈
(Org: 164)
(2,055)
0.04 2,055
153 📈
(Org: 157)
(2,050)
- 2,050
154 📈
(Org: 184)
(2,038)
0.14 2,038
155 📈
(Org: 158)
(2,032)
- 2,032
156 📈
(Org: 160)
(2,007)
0.01 2,007
157 📈
(Org: 162)
(2,006)
0.01 2,006
158 📈
(Org: 242)
(2,005)
0.41 2,005
159 📈
(Org: 169)
(1,964)
0.04 1,964
160 📈
(Org: 191)
(1,959)
0.17 1,959
161 📈
(Org: 181)
(1,956)
0.09 1,956
162 📈
(Org: 171)
(1,940)
0.04 1,940
163 📈
(Org: 269)
(1,933)
0.44 1,933
164 📈
(Org: 170)
(1,919)
0.02 1,919
165 📈
(Org: 175)
(1,914)
0.04 1,914
166 ➡️
(Org: 166)
(1,911)
- 1,911
167 📈
(Org: 168)
(1,900)
- 1,900
168 📈
(Org: 208)
(1,897)
0.24 1,897
169 📈
(Org: 174)
(1,883)
0.02 1,883
170 📈
(Org: 172)
(1,872)
0.01 1,872
171 📈
(Org: 185)
(1,866)
0.06 1,866
172 📈
(Org: 173)
(1,854)
- 1,854
173 📈
(Org: 176)
(1,832)
0 1,832
174 📈
(Org: 204)
(1,820)
0.18 1,820
175 📈
(Org: 178)
(1,819)
0.01 1,819
176 📈
(Org: 182)
(1,800)
0.01 1,800
177 📈
(Org: 179)
(1,798)
- 1,798
178 📈
(Org: 186)
(1,791)
0.04 1,791
179 📈
(Org: 183)
(1,785)
0 1,785
180 📈
(Org: 199)
(1,783)
0.14 1,783
181 📈
(Org: 200)
(1,781)
0.15 1,781
182 📈
(Org: 211)
(1,754)
0.19 1,754
183 📈
(Org: 188)
(1,722)
0.01 1,722
184 📈
(Org: 194)
(1,709)
0.07 1,709
185 📈
(Org: 190)
(1,696)
0.03 1,696
186 📈
(Org: 196)
(1,685)
0.08 1,685
187 📈
(Org: 189)
(1,666)
- 1,666
188 📈
(Org: 216)
(1,630)
0.15 1,630
189 📈
(Org: 207)
(1,618)
0.1 1,618
190 📈
(Org: 198)
(1,600)
0.04 1,600
191 📈
(Org: 233)
(1,587)
0.21 1,587
192 📈
(Org: 201)
(1,571)
0.03 1,571
193 📈
(Org: 197)
(1,545)
- 1,545
194 📈
(Org: 210)
(1,537)
0.07 1,537
195 📈
(Org: 205)
(1,505)
0.01 1,505
196 📈
(Org: 202)
(1,503)
- 1,503
197 📈
(Org: 214)
(1,461)
0.03 1,461
198 📈
(Org: 218)
(1,459)
0.06 1,459
199 📈
(Org: 206)
(1,455)
- 1,455
200 📈
(Org: 224)
(1,448)
0.08 1,448