101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1994 - 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: 116)
(3,560)
0.14 3,560
102 📈
(Org: 111)
(3,524)
0.06 3,524
103 📈
(Org: 105)
(3,487)
0.01 3,487
104 📈
(Org: 121)
(3,485)
0.18 3,485
105 📉
(Org: 104)
(3,483)
0 3,483
106 📉
(Org: 105)
(3,468)
- 3,468
107 📈
(Org: 114)
(3,383)
0.05 3,383
108 ➡️
(Org: 108)
(3,382)
0 3,382
109 📈
(Org: 110)
(3,367)
0.01 3,367
110 📉
(Org: 109)
(3,322)
- 3,322
111 📈
(Org: 112)
(3,313)
0.01 3,313
112 📈
(Org: 113)
(3,276)
- 3,276
113 📈
(Org: 138)
(3,234)
0.21 3,234
114 📈
(Org: 118)
(3,232)
0.06 3,232
115 📈
(Org: 117)
(3,165)
0.04 3,165
116 📉
(Org: 115)
(3,161)
0.01 3,161
117 📈
(Org: 119)
(3,031)
0.02 3,031
118 📈
(Org: 120)
(2,962)
0.02 2,962
119 📈
(Org: 127)
(2,941)
0.05 2,941
120 📈
(Org: 122)
(2,873)
0.01 2,873
121 📈
(Org: 123)
(2,854)
0 2,854
122 📈
(Org: 125)
(2,830)
0.01 2,830
123 📈
(Org: 126)
(2,811)
0.01 2,811
124 📈
(Org: 129)
(2,778)
0.02 2,778
125 📈
(Org: 129)
(2,730)
- 2,730
126 📈
(Org: 150)
(2,662)
0.12 2,662
127 📈
(Org: 133)
(2,656)
0.01 2,656
128 📈
(Org: 132)
(2,652)
- 2,652
129 📈
(Org: 135)
(2,637)
0.02 2,637
130 📈
(Org: 155)
(2,604)
0.16 2,604
131 📈
(Org: 137)
(2,563)
- 2,563
132 📈
(Org: 140)
(2,543)
0.01 2,543
133 📈
(Org: 139)
(2,528)
- 2,528
134 📈
(Org: 141)
(2,479)
- 2,479
135 📈
(Org: 142)
(2,466)
- 2,466
136 📈
(Org: 143)
(2,464)
- 2,464
137 📈
(Org: 145)
(2,437)
0.01 2,437
138 📈
(Org: 144)
(2,434)
- 2,434
139 📈
(Org: 146)
(2,429)
0 2,429
140 📈
(Org: 149)
(2,428)
0.02 2,428
141 📈
(Org: 147)
(2,393)
- 2,393
142 📈
(Org: 148)
(2,381)
- 2,381
143 📈
(Org: 215)
(2,342)
0.42 2,342
144 📈
(Org: 170)
(2,337)
0.2 2,337
145 📈
(Org: 153)
(2,278)
0 2,278
145 📈
(Org: 152)
(2,278)
- 2,278
147 📈
(Org: 169)
(2,230)
0.16 2,230
148 📈
(Org: 156)
(2,184)
0.01 2,184
149 📈
(Org: 213)
(2,170)
0.38 2,170
150 📈
(Org: 157)
(2,127)
0.01 2,127
151 📈
(Org: 159)
(2,088)
0 2,088
152 📈
(Org: 158)
(2,081)
- 2,081
153 📈
(Org: 204)
(2,074)
0.32 2,074
154 📈
(Org: 165)
(2,060)
0.05 2,060
155 📈
(Org: 183)
(2,055)
0.17 2,055
156 📈
(Org: 160)
(2,029)
0.01 2,029
157 📈
(Org: 166)
(2,022)
0.04 2,022
158 📈
(Org: 181)
(2,017)
0.15 2,017
159 📈
(Org: 161)
(1,972)
- 1,972
160 📈
(Org: 162)
(1,969)
- 1,969
161 📈
(Org: 163)
(1,966)
- 1,966
162 📈
(Org: 176)
(1,924)
0.07 1,924
163 📈
(Org: 167)
(1,908)
0.01 1,908
164 📈
(Org: 177)
(1,898)
0.06 1,898
165 📈
(Org: 173)
(1,866)
0.01 1,866
166 📈
(Org: 171)
(1,856)
- 1,856
167 📈
(Org: 172)
(1,855)
- 1,855
168 📈
(Org: 174)
(1,838)
0 1,838
169 📈
(Org: 175)
(1,808)
0 1,808
170 📈
(Org: 178)
(1,792)
0.01 1,792
171 📈
(Org: 205)
(1,776)
0.2 1,776
172 📈
(Org: 179)
(1,748)
- 1,748
173 📈
(Org: 202)
(1,740)
0.18 1,740
174 📈
(Org: 184)
(1,735)
0.03 1,735
174 📈
(Org: 200)
(1,735)
0.16 1,735
176 📈
(Org: 182)
(1,719)
- 1,719
177 📈
(Org: 190)
(1,711)
0.05 1,711
178 📈
(Org: 194)
(1,698)
0.06 1,698
179 📈
(Org: 191)
(1,683)
0.04 1,683
180 📈
(Org: 195)
(1,673)
0.06 1,673
181 📈
(Org: 192)
(1,664)
0.03 1,664
181 📈
(Org: 186)
(1,664)
0.01 1,664
183 📈
(Org: 288)
(1,660)
0.43 1,660
184 📈
(Org: 188)
(1,648)
0.01 1,648
185 📈
(Org: 189)
(1,628)
- 1,628
186 📈
(Org: 210)
(1,621)
0.15 1,621
187 📈
(Org: 193)
(1,606)
- 1,606
188 📈
(Org: 217)
(1,600)
0.16 1,600
189 📈
(Org: 211)
(1,588)
0.14 1,588
190 📈
(Org: 198)
(1,582)
0.05 1,582
191 📈
(Org: 196)
(1,564)
0 1,564
192 📈
(Org: 240)
(1,556)
0.21 1,556
193 📈
(Org: 201)
(1,552)
0.07 1,552
194 📈
(Org: 197)
(1,544)
- 1,544
195 📈
(Org: 206)
(1,506)
0.06 1,506
196 📈
(Org: 199)
(1,465)
0.01 1,465
197 📈
(Org: 337)
(1,450)
0.5 1,450
198 📈
(Org: 207)
(1,422)
0.01 1,422
199 📈
(Org: 216)
(1,410)
0.04 1,410
200 📈
(Org: 236)
(1,396)
0.09 1,396