101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1975 - 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: 103)
(2,462)
- 2,462
102 📈
(Org: 105)
(2,450)
0 2,450
103 📈
(Org: 106)
(2,448)
0.01 2,448
104 📈
(Org: 121)
(2,437)
0.13 2,437
105 📈
(Org: 109)
(2,432)
0.02 2,432
106 📈
(Org: 114)
(2,410)
0.05 2,410
107 📈
(Org: 111)
(2,358)
- 2,358
108 📈
(Org: 132)
(2,322)
0.16 2,322
109 📈
(Org: 116)
(2,262)
0.01 2,262
110 📈
(Org: 115)
(2,249)
- 2,249
111 📈
(Org: 126)
(2,228)
0.09 2,228
112 📈
(Org: 117)
(2,206)
0.01 2,206
113 📈
(Org: 170)
(2,191)
0.37 2,191
114 📈
(Org: 117)
(2,186)
0.01 2,186
115 📈
(Org: 119)
(2,176)
0.01 2,176
116 📈
(Org: 130)
(2,165)
0.09 2,165
117 📈
(Org: 122)
(2,136)
0.01 2,136
118 📈
(Org: 120)
(2,134)
- 2,134
119 📈
(Org: 123)
(2,106)
- 2,106
120 📈
(Org: 124)
(2,097)
0 2,097
121 📈
(Org: 125)
(2,069)
0 2,069
122 📈
(Org: 126)
(2,034)
- 2,034
123 📈
(Org: 174)
(2,033)
0.35 2,033
124 📈
(Org: 128)
(2,032)
0 2,032
125 📈
(Org: 129)
(2,016)
- 2,016
126 📈
(Org: 138)
(1,991)
0.09 1,991
127 📈
(Org: 147)
(1,955)
0.14 1,955
128 📈
(Org: 133)
(1,953)
- 1,953
129 📈
(Org: 134)
(1,924)
- 1,924
130 📈
(Org: 137)
(1,916)
0.03 1,916
131 📈
(Org: 181)
(1,909)
0.35 1,909
132 📈
(Org: 146)
(1,869)
0.1 1,869
133 📈
(Org: 145)
(1,868)
0.1 1,868
134 📈
(Org: 136)
(1,866)
- 1,866
135 📈
(Org: 142)
(1,822)
0.04 1,822
136 📈
(Org: 139)
(1,799)
- 1,799
136 📈
(Org: 161)
(1,799)
0.16 1,799
138 📈
(Org: 140)
(1,789)
- 1,789
139 📈
(Org: 143)
(1,785)
0.03 1,785
140 📈
(Org: 150)
(1,768)
0.07 1,768
141 📈
(Org: 144)
(1,749)
0.02 1,749
142 📈
(Org: 152)
(1,689)
0.04 1,689
143 📈
(Org: 148)
(1,680)
0.01 1,680
144 📈
(Org: 172)
(1,663)
0.17 1,663
145 📈
(Org: 149)
(1,650)
- 1,650
146 📈
(Org: 169)
(1,630)
0.15 1,630
147 📈
(Org: 196)
(1,629)
0.29 1,629
148 📈
(Org: 247)
(1,599)
0.47 1,599
149 📈
(Org: 158)
(1,597)
0.04 1,597
150 📈
(Org: 154)
(1,593)
0.01 1,593
151 📈
(Org: 153)
(1,587)
- 1,587
152 📈
(Org: 157)
(1,571)
0.02 1,571
153 📈
(Org: 155)
(1,564)
0 1,564
154 📈
(Org: 156)
(1,563)
0.01 1,563
155 📈
(Org: 163)
(1,541)
0.03 1,541
156 📈
(Org: 159)
(1,536)
0.01 1,536
157 📈
(Org: 176)
(1,534)
0.14 1,534
158 📈
(Org: 160)
(1,519)
- 1,519
159 📈
(Org: 162)
(1,505)
0 1,505
160 📈
(Org: 166)
(1,495)
0.04 1,495
161 📈
(Org: 164)
(1,493)
0.01 1,493
162 📈
(Org: 245)
(1,483)
0.43 1,483
163 📈
(Org: 168)
(1,466)
0.05 1,466
164 📈
(Org: 165)
(1,456)
0.01 1,456
165 📈
(Org: 218)
(1,445)
0.34 1,445
166 📈
(Org: 231)
(1,444)
0.38 1,444
167 📈
(Org: 202)
(1,386)
0.22 1,386
168 📈
(Org: 170)
(1,383)
- 1,383
169 📈
(Org: 180)
(1,364)
0.07 1,364
170 📈
(Org: 173)
(1,348)
0 1,348
171 📈
(Org: 175)
(1,328)
- 1,328
171 📈
(Org: 178)
(1,328)
0.03 1,328
173 📈
(Org: 190)
(1,318)
0.1 1,318
174 📈
(Org: 177)
(1,309)
- 1,309
175 📈
(Org: 206)
(1,297)
0.19 1,297
176 📈
(Org: 192)
(1,293)
0.09 1,293
177 📈
(Org: 179)
(1,274)
- 1,274
178 📈
(Org: 255)
(1,265)
0.38 1,265
179 📈
(Org: 186)
(1,262)
0.04 1,262
180 📈
(Org: 182)
(1,245)
- 1,245
181 📈
(Org: 184)
(1,241)
0 1,241
182 📈
(Org: 183)
(1,240)
- 1,240
183 📈
(Org: 191)
(1,222)
0.04 1,222
184 📈
(Org: 215)
(1,219)
0.19 1,219
185 📈
(Org: 187)
(1,214)
0 1,214
186 📈
(Org: 189)
(1,211)
0.01 1,211
186 📈
(Org: 188)
(1,211)
0.01 1,211
188 📈
(Org: 237)
(1,187)
0.27 1,187
189 📈
(Org: 193)
(1,184)
0.01 1,184
190 📈
(Org: 194)
(1,175)
0 1,175
191 📈
(Org: 213)
(1,172)
0.13 1,172
192 📈
(Org: 195)
(1,166)
- 1,166
193 📈
(Org: 203)
(1,151)
0.06 1,151
194 📈
(Org: 197)
(1,143)
0.01 1,143
195 📈
(Org: 199)
(1,124)
- 1,124
196 📈
(Org: 200)
(1,116)
0.01 1,116
197 📈
(Org: 201)
(1,092)
- 1,092
198 📈
(Org: 204)
(1,074)
- 1,074
199 📈
(Org: 208)
(1,067)
0.03 1,067
200 📈
(Org: 209)
(1,065)
0.03 1,065