101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1984 - 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: 111)
(2,535)
0.03 2,535
102 📈
(Org: 112)
(2,526)
0.03 2,526
103 📈
(Org: 109)
(2,513)
- 2,513
104 📈
(Org: 110)
(2,494)
0.01 2,494
105 📈
(Org: 115)
(2,458)
0.04 2,458
106 📈
(Org: 113)
(2,440)
0.01 2,440
107 📈
(Org: 134)
(2,427)
0.15 2,427
108 📈
(Org: 114)
(2,417)
0 2,417
109 📈
(Org: 117)
(2,407)
0.03 2,407
110 📈
(Org: 116)
(2,367)
0.01 2,367
111 📈
(Org: 125)
(2,354)
0.09 2,354
112 📈
(Org: 118)
(2,348)
0.01 2,348
113 📈
(Org: 120)
(2,332)
0.03 2,332
114 📈
(Org: 152)
(2,324)
0.24 2,324
115 📈
(Org: 119)
(2,316)
- 2,316
116 📈
(Org: 130)
(2,295)
0.08 2,295
117 📈
(Org: 122)
(2,294)
0.04 2,294
118 📈
(Org: 124)
(2,236)
0.03 2,236
119 📈
(Org: 123)
(2,189)
0.01 2,189
120 📈
(Org: 129)
(2,179)
0.03 2,179
121 📈
(Org: 127)
(2,166)
0.01 2,166
122 📈
(Org: 133)
(2,164)
0.03 2,164
123 📈
(Org: 126)
(2,144)
0 2,144
124 📈
(Org: 128)
(2,123)
- 2,123
125 📈
(Org: 156)
(2,118)
0.18 2,118
126 📈
(Org: 148)
(2,091)
0.12 2,091
127 📈
(Org: 143)
(2,077)
0.1 2,077
128 📈
(Org: 136)
(2,048)
0.02 2,048
129 📈
(Org: 135)
(2,031)
- 2,031
130 📈
(Org: 140)
(2,026)
0.04 2,026
131 📈
(Org: 153)
(1,979)
0.11 1,979
132 📈
(Org: 144)
(1,890)
0.01 1,890
133 📈
(Org: 145)
(1,888)
0.02 1,888
134 📈
(Org: 141)
(1,885)
- 1,885
135 📈
(Org: 160)
(1,884)
0.1 1,884
135 📈
(Org: 151)
(1,884)
0.04 1,884
137 📈
(Org: 158)
(1,849)
0.07 1,849
137 📈
(Org: 146)
(1,849)
- 1,849
139 📈
(Org: 150)
(1,848)
0.02 1,848
140 📈
(Org: 157)
(1,809)
0.05 1,809
141 📈
(Org: 163)
(1,794)
0.08 1,794
142 📈
(Org: 168)
(1,782)
0.11 1,782
143 📈
(Org: 209)
(1,777)
0.38 1,777
144 📈
(Org: 212)
(1,774)
0.39 1,774
145 📈
(Org: 153)
(1,765)
- 1,765
146 📈
(Org: 170)
(1,754)
0.1 1,754
147 📈
(Org: 155)
(1,752)
0 1,752
148 📈
(Org: 205)
(1,751)
0.36 1,751
149 📈
(Org: 197)
(1,742)
0.3 1,742
150 📈
(Org: 172)
(1,734)
0.11 1,734
151 📈
(Org: 164)
(1,724)
0.05 1,724
152 📈
(Org: 159)
(1,711)
0.01 1,711
153 📈
(Org: 161)
(1,689)
- 1,689
154 📈
(Org: 162)
(1,679)
0 1,679
155 📈
(Org: 183)
(1,678)
0.18 1,678
156 📈
(Org: 166)
(1,649)
0.03 1,649
157 📈
(Org: 195)
(1,629)
0.24 1,629
158 📈
(Org: 167)
(1,627)
0.02 1,627
159 📈
(Org: 165)
(1,626)
- 1,626
160 📈
(Org: 187)
(1,596)
0.16 1,596
161 📈
(Org: 173)
(1,591)
0.07 1,591
162 📈
(Org: 169)
(1,589)
- 1,589
163 📈
(Org: 176)
(1,575)
0.08 1,575
164 📈
(Org: 221)
(1,572)
0.35 1,572
165 📈
(Org: 171)
(1,570)
0.01 1,570
166 📈
(Org: 226)
(1,544)
0.36 1,544
167 📈
(Org: 177)
(1,503)
0.04 1,503
168 📈
(Org: 174)
(1,478)
- 1,478
169 📈
(Org: 175)
(1,460)
- 1,460
170 📈
(Org: 180)
(1,429)
0.01 1,429
171 📈
(Org: 178)
(1,426)
0 1,426
172 📈
(Org: 204)
(1,424)
0.19 1,424
173 📈
(Org: 179)
(1,418)
- 1,418
174 📈
(Org: 182)
(1,396)
0.01 1,396
175 📈
(Org: 181)
(1,394)
0 1,394
176 📈
(Org: 184)
(1,352)
0 1,352
177 📈
(Org: 185)
(1,342)
0 1,342
178 📈
(Org: 185)
(1,336)
- 1,336
179 📈
(Org: 188)
(1,332)
- 1,332
180 📈
(Org: 190)
(1,329)
0.01 1,329
181 📈
(Org: 203)
(1,322)
0.13 1,322
182 📈
(Org: 191)
(1,301)
0.01 1,301
183 📈
(Org: 253)
(1,296)
0.34 1,296
184 📈
(Org: 191)
(1,291)
0.01 1,291
185 📈
(Org: 193)
(1,281)
0.01 1,281
186 📈
(Org: 198)
(1,274)
0.05 1,274
187 📈
(Org: 201)
(1,268)
0.08 1,268
188 📈
(Org: 288)
(1,253)
0.43 1,253
189 📈
(Org: 194)
(1,246)
- 1,246
189 📈
(Org: 231)
(1,246)
0.22 1,246
189 📈
(Org: 196)
(1,246)
0.01 1,246
192 📈
(Org: 202)
(1,215)
0.04 1,215
193 📈
(Org: 199)
(1,200)
0.02 1,200
194 📈
(Org: 216)
(1,196)
0.12 1,196
195 📈
(Org: 207)
(1,190)
0.06 1,190
196 📈
(Org: 200)
(1,175)
- 1,175
197 📈
(Org: 229)
(1,173)
0.17 1,173
198 📈
(Org: 247)
(1,154)
0.23 1,154
199 📈
(Org: 206)
(1,120)
- 1,120
200 📈
(Org: 208)
(1,119)
0.01 1,119