101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1988 - 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: 114)
(3,028)
0.11 3,028
102 📈
(Org: 113)
(3,014)
0.1 3,014
103 📈
(Org: 137)
(2,958)
0.27 2,958
104 ➡️
(Org: 104)
(2,928)
- 2,928
105 📈
(Org: 106)
(2,906)
0 2,906
106 📈
(Org: 107)
(2,889)
0.01 2,889
107 📈
(Org: 112)
(2,771)
0.02 2,771
108 📈
(Org: 111)
(2,770)
0.01 2,770
109 ➡️
(Org: 109)
(2,764)
0 2,764
110 📈
(Org: 116)
(2,760)
0.04 2,760
111 📉
(Org: 110)
(2,754)
- 2,754
112 📈
(Org: 116)
(2,665)
0 2,665
113 📈
(Org: 119)
(2,651)
0.01 2,651
114 📈
(Org: 121)
(2,603)
0.04 2,603
115 📈
(Org: 122)
(2,490)
0.01 2,490
116 📈
(Org: 148)
(2,476)
0.24 2,476
117 📈
(Org: 123)
(2,448)
- 2,448
118 📈
(Org: 127)
(2,381)
0.03 2,381
119 📈
(Org: 128)
(2,362)
0.03 2,362
120 📈
(Org: 129)
(2,348)
0.03 2,348
121 📈
(Org: 130)
(2,346)
0.03 2,346
122 📈
(Org: 124)
(2,344)
- 2,344
123 📈
(Org: 133)
(2,334)
0.04 2,334
124 📈
(Org: 131)
(2,321)
0.03 2,321
125 📈
(Org: 134)
(2,209)
- 2,209
126 📈
(Org: 135)
(2,201)
- 2,201
127 📈
(Org: 136)
(2,190)
- 2,190
128 📈
(Org: 143)
(2,170)
0.09 2,170
129 📈
(Org: 138)
(2,154)
- 2,154
130 📈
(Org: 139)
(2,119)
- 2,119
131 📈
(Org: 161)
(2,089)
0.17 2,089
132 📈
(Org: 141)
(2,083)
0.01 2,083
133 📈
(Org: 140)
(2,082)
- 2,082
134 📈
(Org: 153)
(2,035)
0.12 2,035
135 📈
(Org: 150)
(2,005)
0.07 2,005
136 📈
(Org: 179)
(1,976)
0.2 1,976
137 📈
(Org: 145)
(1,944)
0.02 1,944
138 📈
(Org: 178)
(1,941)
0.18 1,941
139 📈
(Org: 146)
(1,936)
0.02 1,936
140 📈
(Org: 152)
(1,922)
0.06 1,922
141 📈
(Org: 147)
(1,917)
0.01 1,917
142 📈
(Org: 195)
(1,914)
0.27 1,914
143 📈
(Org: 165)
(1,849)
0.08 1,849
144 📈
(Org: 210)
(1,836)
0.32 1,836
145 📈
(Org: 157)
(1,834)
0.03 1,834
146 📈
(Org: 151)
(1,828)
- 1,828
147 📈
(Org: 229)
(1,797)
0.4 1,797
148 📈
(Org: 153)
(1,796)
- 1,796
149 📈
(Org: 155)
(1,795)
- 1,795
150 📈
(Org: 158)
(1,779)
0.01 1,779
150 📈
(Org: 163)
(1,779)
0.04 1,779
152 📈
(Org: 171)
(1,775)
0.07 1,775
153 📈
(Org: 159)
(1,754)
- 1,754
154 📈
(Org: 164)
(1,746)
0.02 1,746
155 📈
(Org: 160)
(1,745)
0.01 1,745
156 📈
(Org: 177)
(1,742)
0.08 1,742
157 📈
(Org: 162)
(1,735)
0 1,735
158 📈
(Org: 165)
(1,713)
0 1,713
159 📈
(Org: 167)
(1,701)
0.02 1,701
160 📈
(Org: 205)
(1,699)
0.24 1,699
161 📈
(Org: 188)
(1,692)
0.13 1,692
162 📈
(Org: 186)
(1,666)
0.1 1,666
163 📈
(Org: 180)
(1,665)
0.05 1,665
164 📈
(Org: 168)
(1,661)
- 1,661
165 📈
(Org: 170)
(1,656)
- 1,656
166 📈
(Org: 174)
(1,645)
0.02 1,645
167 📈
(Org: 172)
(1,625)
- 1,625
168 📈
(Org: 173)
(1,616)
- 1,616
169 📈
(Org: 176)
(1,614)
0 1,614
170 📈
(Org: 219)
(1,612)
0.27 1,612
171 📈
(Org: 175)
(1,610)
- 1,610
172 📈
(Org: 194)
(1,603)
0.12 1,603
173 📈
(Org: 238)
(1,601)
0.37 1,601
174 📈
(Org: 181)
(1,569)
- 1,569
175 📈
(Org: 184)
(1,567)
0.01 1,567
176 📈
(Org: 183)
(1,564)
0.01 1,564
177 📈
(Org: 185)
(1,555)
0.03 1,555
178 📈
(Org: 182)
(1,554)
- 1,554
179 📈
(Org: 216)
(1,528)
0.21 1,528
180 📈
(Org: 240)
(1,517)
0.34 1,517
181 📈
(Org: 190)
(1,509)
0.05 1,509
182 📈
(Org: 193)
(1,496)
0.05 1,496
183 📈
(Org: 187)
(1,491)
0.01 1,491
184 📈
(Org: 191)
(1,464)
0.03 1,464
185 📈
(Org: 197)
(1,451)
0.04 1,451
186 📈
(Org: 237)
(1,442)
0.29 1,442
187 📈
(Org: 192)
(1,435)
0.01 1,435
188 📈
(Org: 254)
(1,433)
0.35 1,433
189 📈
(Org: 196)
(1,426)
0.02 1,426
190 📈
(Org: 199)
(1,388)
0.01 1,388
191 📈
(Org: 294)
(1,385)
0.43 1,385
191 📈
(Org: 198)
(1,385)
- 1,385
193 📈
(Org: 200)
(1,367)
0 1,367
194 📈
(Org: 201)
(1,352)
- 1,352
195 📈
(Org: 202)
(1,333)
- 1,333
196 📈
(Org: 203)
(1,329)
- 1,329
197 📈
(Org: 207)
(1,307)
0.02 1,307
197 📈
(Org: 204)
(1,307)
- 1,307
199 📈
(Org: 205)
(1,286)
- 1,286
200 📈
(Org: 327)
(1,285)
0.49 1,285