101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1957 - 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: 102)
(3,684)
0 3,684
102 📈
(Org: 105)
(3,672)
0.02 3,672
103 📈
(Org: 172)
(3,636)
0.51 3,636
103 ➡️
(Org: 103)
(3,636)
- 3,636
105 📈
(Org: 107)
(3,609)
0.02 3,609
106 📉
(Org: 104)
(3,604)
- 3,604
107 📈
(Org: 117)
(3,545)
0.06 3,545
108 📉
(Org: 106)
(3,543)
- 3,543
109 ➡️
(Org: 109)
(3,472)
- 3,472
110 📈
(Org: 111)
(3,459)
0.01 3,459
111 📈
(Org: 114)
(3,436)
0.01 3,436
112 📈
(Org: 113)
(3,426)
0.01 3,426
113 📉
(Org: 112)
(3,408)
- 3,408
114 📈
(Org: 116)
(3,363)
0 3,363
115 📈
(Org: 118)
(3,340)
- 3,340
116 📈
(Org: 124)
(3,308)
0.08 3,308
117 📈
(Org: 120)
(3,278)
0.01 3,278
118 📈
(Org: 121)
(3,265)
0.02 3,265
119 📈
(Org: 125)
(3,248)
0.07 3,248
120 📈
(Org: 122)
(3,228)
0.03 3,228
121 📈
(Org: 123)
(3,118)
- 3,118
122 📈
(Org: 126)
(3,022)
0.01 3,022
123 📈
(Org: 141)
(2,998)
0.19 2,998
124 📈
(Org: 128)
(2,975)
0.01 2,975
125 📈
(Org: 181)
(2,912)
0.42 2,912
126 📈
(Org: 130)
(2,893)
- 2,893
127 📈
(Org: 132)
(2,827)
0.02 2,827
128 📈
(Org: 131)
(2,822)
- 2,822
129 📈
(Org: 182)
(2,787)
0.4 2,787
130 📈
(Org: 134)
(2,713)
- 2,713
131 📈
(Org: 135)
(2,627)
- 2,627
132 📈
(Org: 136)
(2,621)
- 2,621
133 📈
(Org: 138)
(2,563)
0.03 2,563
134 📈
(Org: 137)
(2,554)
0.01 2,554
135 📈
(Org: 140)
(2,494)
0.01 2,494
135 📈
(Org: 213)
(2,494)
0.49 2,494
137 📈
(Org: 142)
(2,418)
- 2,418
138 📈
(Org: 143)
(2,405)
- 2,405
139 📈
(Org: 152)
(2,400)
0.08 2,400
140 📈
(Org: 144)
(2,386)
- 2,386
141 📈
(Org: 145)
(2,381)
0.01 2,381
142 📈
(Org: 147)
(2,333)
- 2,333
143 📈
(Org: 148)
(2,316)
- 2,316
144 📈
(Org: 149)
(2,301)
- 2,301
145 📈
(Org: 150)
(2,296)
- 2,296
146 📈
(Org: 151)
(2,285)
0 2,285
147 📈
(Org: 153)
(2,207)
0.01 2,207
148 📈
(Org: 154)
(2,192)
0 2,192
149 📈
(Org: 156)
(2,185)
0.04 2,185
150 📈
(Org: 155)
(2,181)
- 2,181
151 📈
(Org: 196)
(2,165)
0.36 2,165
152 📈
(Org: 164)
(2,123)
0.09 2,123
153 📈
(Org: 206)
(2,099)
0.38 2,099
154 📈
(Org: 160)
(2,062)
0.03 2,062
155 📈
(Org: 158)
(2,050)
0 2,050
156 📈
(Org: 159)
(2,038)
0 2,038
157 📈
(Org: 169)
(2,005)
0.08 2,005
158 📈
(Org: 194)
(2,001)
0.29 2,001
159 📈
(Org: 167)
(1,983)
0.05 1,983
160 📈
(Org: 161)
(1,976)
- 1,976
161 📈
(Org: 162)
(1,975)
- 1,975
162 📈
(Org: 168)
(1,974)
0.05 1,974
163 ➡️
(Org: 163)
(1,959)
- 1,959
164 📈
(Org: 251)
(1,904)
0.52 1,904
165 ➡️
(Org: 165)
(1,901)
- 1,901
166 ➡️
(Org: 166)
(1,888)
- 1,888
167 📈
(Org: 178)
(1,872)
0.09 1,872
168 📈
(Org: 239)
(1,841)
0.44 1,841
169 📈
(Org: 170)
(1,831)
0 1,831
170 📈
(Org: 171)
(1,814)
- 1,814
171 📈
(Org: 202)
(1,789)
0.25 1,789
172 📈
(Org: 173)
(1,788)
- 1,788
173 📈
(Org: 174)
(1,780)
- 1,780
174 📈
(Org: 176)
(1,749)
0 1,749
175 ➡️
(Org: 175)
(1,747)
- 1,747
176 📈
(Org: 180)
(1,742)
0.03 1,742
177 ➡️
(Org: 177)
(1,728)
0.01 1,728
178 📈
(Org: 249)
(1,709)
0.45 1,709
179 📈
(Org: 197)
(1,682)
0.18 1,682
180 📈
(Org: 183)
(1,665)
0.02 1,665
181 📈
(Org: 183)
(1,636)
- 1,636
182 📈
(Org: 185)
(1,633)
- 1,633
183 📈
(Org: 186)
(1,624)
0 1,624
184 📈
(Org: 208)
(1,615)
0.21 1,615
185 📈
(Org: 193)
(1,583)
0.08 1,583
186 📈
(Org: 187)
(1,571)
- 1,571
187 📈
(Org: 255)
(1,541)
0.43 1,541
188 📈
(Org: 189)
(1,523)
0 1,523
189 📈
(Org: 190)
(1,518)
0 1,518
190 📈
(Org: 195)
(1,442)
0.03 1,442
191 📈
(Org: 207)
(1,428)
0.09 1,428
192 📈
(Org: 200)
(1,415)
0.05 1,415
193 📈
(Org: 199)
(1,394)
0.03 1,394
194 📈
(Org: 203)
(1,376)
0.04 1,376
195 📈
(Org: 210)
(1,366)
0.07 1,366
195 📈
(Org: 201)
(1,366)
0.01 1,366
197 📈
(Org: 198)
(1,362)
- 1,362
198 📈
(Org: 204)
(1,317)
- 1,317
199 📈
(Org: 205)
(1,316)
- 1,316
200 📈
(Org: 216)
(1,296)
0.07 1,296