101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1989 - 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)
(3,287)
0 3,287
102 📈
(Org: 114)
(3,269)
0.12 3,269
103 📈
(Org: 135)
(3,208)
0.3 3,208
104 📈
(Org: 106)
(3,136)
0 3,136
105 📈
(Org: 108)
(3,118)
0.01 3,118
106 📈
(Org: 110)
(3,093)
0.02 3,093
107 📈
(Org: 109)
(3,054)
- 3,054
108 📈
(Org: 113)
(2,959)
0.03 2,959
109 📈
(Org: 116)
(2,849)
0 2,849
110 📈
(Org: 117)
(2,823)
0.01 2,823
111 📈
(Org: 119)
(2,820)
0.03 2,820
112 📈
(Org: 123)
(2,808)
0.05 2,808
113 📈
(Org: 118)
(2,769)
0.01 2,769
114 📈
(Org: 120)
(2,733)
- 2,733
115 📈
(Org: 121)
(2,724)
0 2,724
116 📈
(Org: 122)
(2,721)
0.01 2,721
117 📈
(Org: 125)
(2,704)
0.03 2,704
118 📈
(Org: 126)
(2,645)
0.02 2,645
119 📈
(Org: 124)
(2,642)
0 2,642
120 📈
(Org: 159)
(2,475)
0.23 2,475
121 📈
(Org: 137)
(2,468)
0.1 2,468
122 📈
(Org: 132)
(2,420)
0.05 2,420
123 📈
(Org: 133)
(2,373)
0.03 2,373
124 📈
(Org: 130)
(2,360)
- 2,360
125 📈
(Org: 131)
(2,346)
0 2,346
126 📈
(Org: 136)
(2,305)
0.04 2,305
127 📈
(Org: 157)
(2,303)
0.16 2,303
128 📈
(Org: 134)
(2,274)
- 2,274
129 📈
(Org: 137)
(2,252)
0.02 2,252
130 📈
(Org: 142)
(2,237)
0.03 2,237
131 📈
(Org: 139)
(2,207)
- 2,207
132 📈
(Org: 141)
(2,192)
0.01 2,192
133 📈
(Org: 140)
(2,176)
- 2,176
134 📈
(Org: 144)
(2,147)
- 2,147
135 📈
(Org: 145)
(2,146)
- 2,146
136 📈
(Org: 146)
(2,125)
- 2,125
137 📈
(Org: 147)
(2,105)
- 2,105
138 📈
(Org: 162)
(2,095)
0.12 2,095
138 📈
(Org: 148)
(2,095)
0 2,095
140 📈
(Org: 175)
(2,072)
0.16 2,072
141 📈
(Org: 198)
(2,064)
0.29 2,064
142 📈
(Org: 181)
(2,033)
0.2 2,033
143 📈
(Org: 149)
(2,024)
0 2,024
144 📈
(Org: 151)
(2,013)
0 2,013
145 📈
(Org: 150)
(2,012)
- 2,012
146 📈
(Org: 154)
(1,996)
0.02 1,996
147 📈
(Org: 161)
(1,976)
0.05 1,976
148 📈
(Org: 152)
(1,970)
0 1,970
149 📈
(Org: 152)
(1,965)
- 1,965
150 📈
(Org: 174)
(1,959)
0.11 1,959
151 📈
(Org: 163)
(1,956)
0.06 1,956
152 📈
(Org: 158)
(1,954)
0.02 1,954
153 📈
(Org: 186)
(1,949)
0.18 1,949
154 📈
(Org: 194)
(1,946)
0.23 1,946
155 📈
(Org: 156)
(1,937)
- 1,937
156 📈
(Org: 165)
(1,862)
0.02 1,862
157 📈
(Org: 178)
(1,849)
0.07 1,849
158 📈
(Org: 166)
(1,828)
0.01 1,828
159 📈
(Org: 172)
(1,824)
0.04 1,824
160 📈
(Org: 169)
(1,813)
0.02 1,813
161 📈
(Org: 167)
(1,806)
- 1,806
162 📈
(Org: 179)
(1,802)
0.05 1,802
163 📈
(Org: 168)
(1,792)
0 1,792
164 📈
(Org: 236)
(1,787)
0.37 1,787
165 📈
(Org: 173)
(1,776)
0.01 1,776
166 📈
(Org: 171)
(1,766)
0 1,766
167 📈
(Org: 183)
(1,763)
0.08 1,763
167 📈
(Org: 176)
(1,763)
0.01 1,763
167 📈
(Org: 170)
(1,763)
- 1,763
170 📈
(Org: 213)
(1,756)
0.25 1,756
171 📈
(Org: 176)
(1,737)
- 1,737
172 📈
(Org: 233)
(1,734)
0.33 1,734
173 📈
(Org: 197)
(1,690)
0.13 1,690
174 📈
(Org: 180)
(1,680)
- 1,680
175 📈
(Org: 185)
(1,669)
0.04 1,669
176 📈
(Org: 201)
(1,651)
0.11 1,651
177 📈
(Org: 182)
(1,642)
0.01 1,642
178 📈
(Org: 251)
(1,628)
0.37 1,628
179 📈
(Org: 204)
(1,619)
0.12 1,619
180 📈
(Org: 238)
(1,613)
0.31 1,613
181 📈
(Org: 184)
(1,612)
- 1,612
182 📈
(Org: 228)
(1,605)
0.26 1,605
183 📈
(Org: 188)
(1,590)
0.03 1,590
184 📈
(Org: 187)
(1,587)
0 1,587
185 📈
(Org: 315)
(1,563)
0.51 1,563
186 📈
(Org: 266)
(1,559)
0.4 1,559
187 📈
(Org: 307)
(1,557)
0.5 1,557
187 📈
(Org: 193)
(1,557)
0.03 1,557
189 📈
(Org: 260)
(1,555)
0.37 1,555
190 📉
(Org: 189)
(1,551)
0.01 1,551
191 📈
(Org: 196)
(1,548)
0.05 1,548
192 📉
(Org: 189)
(1,533)
- 1,533
193 📈
(Org: 225)
(1,519)
0.21 1,519
194 📈
(Org: 239)
(1,517)
0.27 1,517
195 ➡️
(Org: 195)
(1,514)
0.01 1,514
196 📈
(Org: 202)
(1,500)
0.03 1,500
197 📈
(Org: 199)
(1,470)
- 1,470
197 📈
(Org: 199)
(1,470)
- 1,470
199 📈
(Org: 203)
(1,456)
0.01 1,456
200 📈
(Org: 208)
(1,426)
0.05 1,426