101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1959 - 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: 154)
(4,065)
0.45 4,065
102 📈
(Org: 104)
(3,988)
- 3,988
103 📈
(Org: 118)
(3,899)
0.14 3,899
104 📈
(Org: 106)
(3,896)
0 3,896
105 📈
(Org: 109)
(3,866)
0.04 3,866
106 📈
(Org: 107)
(3,817)
- 3,817
107 📈
(Org: 111)
(3,796)
0.05 3,796
108 ➡️
(Org: 108)
(3,777)
0 3,777
109 📈
(Org: 110)
(3,717)
0.01 3,717
110 📈
(Org: 115)
(3,588)
0.02 3,588
111 📈
(Org: 129)
(3,583)
0.21 3,583
112 ➡️
(Org: 112)
(3,581)
- 3,581
113 ➡️
(Org: 113)
(3,580)
- 3,580
114 📈
(Org: 161)
(3,554)
0.44 3,554
115 📈
(Org: 117)
(3,458)
- 3,458
116 📈
(Org: 142)
(3,422)
0.29 3,422
117 📈
(Org: 124)
(3,320)
0.07 3,320
118 📈
(Org: 119)
(3,308)
- 3,308
119 📈
(Org: 121)
(3,281)
0.02 3,281
120 ➡️
(Org: 120)
(3,271)
- 3,271
121 📈
(Org: 127)
(3,246)
0.09 3,246
122 ➡️
(Org: 122)
(3,203)
0.01 3,203
123 ➡️
(Org: 123)
(3,168)
- 3,168
124 📈
(Org: 125)
(3,088)
0.02 3,088
125 📈
(Org: 126)
(2,966)
- 2,966
126 📈
(Org: 165)
(2,898)
0.34 2,898
127 📈
(Org: 185)
(2,889)
0.43 2,889
128 ➡️
(Org: 128)
(2,826)
- 2,826
129 📈
(Org: 192)
(2,817)
0.46 2,817
130 📈
(Org: 135)
(2,782)
0.03 2,782
131 ➡️
(Org: 131)
(2,777)
- 2,777
132 ➡️
(Org: 132)
(2,774)
0.01 2,774
133 ➡️
(Org: 133)
(2,717)
0.01 2,717
134 📈
(Org: 136)
(2,684)
0.01 2,684
135 📈
(Org: 143)
(2,587)
0.06 2,587
136 📈
(Org: 137)
(2,586)
0 2,586
137 📈
(Org: 207)
(2,550)
0.46 2,550
138 ➡️
(Org: 138)
(2,543)
- 2,543
139 ➡️
(Org: 139)
(2,536)
- 2,536
140 📈
(Org: 168)
(2,493)
0.26 2,493
141 ➡️
(Org: 141)
(2,467)
- 2,467
142 📈
(Org: 146)
(2,452)
0.02 2,452
143 📈
(Org: 144)
(2,421)
- 2,421
144 📈
(Org: 145)
(2,416)
0 2,416
145 📈
(Org: 156)
(2,397)
0.08 2,397
146 📈
(Org: 150)
(2,390)
0.02 2,390
147 ➡️
(Org: 147)
(2,379)
- 2,379
148 📈
(Org: 149)
(2,363)
0.01 2,363
149 📈
(Org: 152)
(2,308)
0.01 2,308
150 📈
(Org: 231)
(2,307)
0.49 2,307
151 ➡️
(Org: 151)
(2,280)
- 2,280
152 📈
(Org: 153)
(2,260)
- 2,260
153 📈
(Org: 155)
(2,245)
0.02 2,245
154 📈
(Org: 166)
(2,213)
0.15 2,213
155 📈
(Org: 157)
(2,179)
- 2,179
156 📈
(Org: 208)
(2,086)
0.35 2,086
157 📈
(Org: 163)
(2,085)
0.07 2,085
158 📈
(Org: 160)
(2,071)
0.03 2,071
159 📈
(Org: 167)
(2,065)
0.09 2,065
160 📉
(Org: 158)
(2,031)
- 2,031
161 📉
(Org: 159)
(2,018)
- 2,018
162 ➡️
(Org: 162)
(1,950)
- 1,950
163 📈
(Org: 164)
(1,920)
- 1,920
164 📈
(Org: 174)
(1,875)
0.06 1,875
165 📈
(Org: 171)
(1,874)
0.03 1,874
166 📈
(Org: 175)
(1,863)
0.06 1,863
167 📈
(Org: 242)
(1,844)
0.4 1,844
168 📈
(Org: 169)
(1,843)
- 1,843
169 📈
(Org: 172)
(1,791)
- 1,791
170 📈
(Org: 188)
(1,767)
0.11 1,767
171 📈
(Org: 176)
(1,748)
- 1,748
172 📈
(Org: 177)
(1,745)
- 1,745
173 📈
(Org: 178)
(1,715)
0.01 1,715
174 📈
(Org: 181)
(1,704)
0.02 1,704
175 📈
(Org: 179)
(1,702)
- 1,702
176 📈
(Org: 180)
(1,698)
0 1,698
177 📈
(Org: 182)
(1,678)
0.01 1,678
178 📈
(Org: 191)
(1,662)
0.07 1,662
179 📈
(Org: 183)
(1,648)
- 1,648
180 📈
(Org: 184)
(1,640)
- 1,640
181 📈
(Org: 209)
(1,638)
0.17 1,638
182 📈
(Org: 194)
(1,622)
0.06 1,622
183 📈
(Org: 220)
(1,618)
0.23 1,618
184 📈
(Org: 186)
(1,609)
0.01 1,609
185 📈
(Org: 197)
(1,608)
0.09 1,608
186 📈
(Org: 190)
(1,601)
0.03 1,601
187 📈
(Org: 199)
(1,573)
0.08 1,573
188 📈
(Org: 204)
(1,552)
0.09 1,552
189 📈
(Org: 193)
(1,533)
- 1,533
190 📈
(Org: 195)
(1,482)
0 1,482
190 📈
(Org: 221)
(1,482)
0.17 1,482
192 📈
(Org: 198)
(1,478)
0.02 1,478
193 📈
(Org: 196)
(1,467)
- 1,467
194 📈
(Org: 203)
(1,466)
0.02 1,466
195 📈
(Org: 273)
(1,442)
0.41 1,442
195 📈
(Org: 200)
(1,442)
- 1,442
197 📈
(Org: 202)
(1,439)
0 1,439
198 📈
(Org: 205)
(1,411)
0.01 1,411
199 📈
(Org: 210)
(1,400)
0.04 1,400
200 📈
(Org: 213)
(1,386)
0.06 1,386