101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1956 - 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)
(3,578)
- 3,578
102 📈
(Org: 105)
(3,482)
- 3,482
103 📈
(Org: 165)
(3,450)
0.47 3,450
104 📈
(Org: 106)
(3,436)
- 3,436
105 📈
(Org: 107)
(3,417)
- 3,417
106 📈
(Org: 110)
(3,400)
0.03 3,400
107 📈
(Org: 108)
(3,398)
- 3,398
108 📈
(Org: 114)
(3,393)
0.08 3,393
109 ➡️
(Org: 109)
(3,375)
0.01 3,375
110 📈
(Org: 111)
(3,343)
0.01 3,343
111 📈
(Org: 113)
(3,278)
0.01 3,278
112 📈
(Org: 115)
(3,116)
0 3,116
113 📈
(Org: 117)
(3,090)
0.01 3,090
114 📈
(Org: 123)
(3,068)
0.06 3,068
115 📈
(Org: 182)
(3,040)
0.47 3,040
116 📈
(Org: 119)
(3,036)
0.03 3,036
117 📈
(Org: 118)
(2,960)
- 2,960
118 📈
(Org: 120)
(2,953)
- 2,953
119 📈
(Org: 121)
(2,946)
- 2,946
120 📈
(Org: 122)
(2,911)
- 2,911
121 📈
(Org: 128)
(2,906)
0.13 2,906
122 📈
(Org: 171)
(2,885)
0.39 2,885
123 📈
(Org: 168)
(2,866)
0.38 2,866
124 📈
(Org: 138)
(2,824)
0.15 2,824
125 📉
(Org: 124)
(2,772)
- 2,772
126 📈
(Org: 136)
(2,615)
0.08 2,615
127 ➡️
(Org: 127)
(2,596)
- 2,596
128 📈
(Org: 131)
(2,549)
0.03 2,549
129 ➡️
(Org: 129)
(2,529)
0.02 2,529
130 ➡️
(Org: 130)
(2,518)
0.01 2,518
131 📈
(Org: 133)
(2,502)
0.03 2,502
132 📈
(Org: 134)
(2,432)
- 2,432
133 📈
(Org: 205)
(2,422)
0.46 2,422
134 📈
(Org: 147)
(2,420)
0.09 2,420
135 📈
(Org: 137)
(2,397)
- 2,397
136 📈
(Org: 139)
(2,379)
0 2,379
137 📈
(Org: 143)
(2,363)
0.05 2,363
138 📈
(Org: 140)
(2,358)
0 2,358
139 📈
(Org: 194)
(2,338)
0.38 2,338
140 📈
(Org: 141)
(2,334)
- 2,334
141 📈
(Org: 142)
(2,272)
0.01 2,272
142 📈
(Org: 145)
(2,249)
0.01 2,249
143 📈
(Org: 144)
(2,228)
0 2,228
144 📈
(Org: 146)
(2,216)
- 2,216
145 📈
(Org: 148)
(2,188)
- 2,188
146 📈
(Org: 158)
(2,184)
0.09 2,184
147 📈
(Org: 201)
(2,145)
0.38 2,145
148 📈
(Org: 149)
(2,137)
- 2,137
149 📈
(Org: 186)
(2,136)
0.3 2,136
150 📈
(Org: 152)
(2,130)
0.04 2,130
151 📈
(Org: 157)
(2,074)
0.03 2,074
152 📉
(Org: 151)
(2,057)
- 2,057
153 ➡️
(Org: 153)
(2,050)
0 2,050
154 📈
(Org: 164)
(2,047)
0.09 2,047
155 📉
(Org: 154)
(2,043)
- 2,043
156 ➡️
(Org: 156)
(2,008)
- 2,008
157 📈
(Org: 159)
(1,957)
- 1,957
158 📈
(Org: 160)
(1,956)
- 1,956
159 📈
(Org: 161)
(1,930)
0.01 1,930
160 📈
(Org: 170)
(1,924)
0.09 1,924
161 📈
(Org: 162)
(1,913)
0 1,913
162 📈
(Org: 196)
(1,870)
0.24 1,870
163 ➡️
(Org: 163)
(1,867)
- 1,867
164 📈
(Org: 167)
(1,857)
0.03 1,857
165 📈
(Org: 166)
(1,795)
- 1,795
166 📈
(Org: 169)
(1,756)
- 1,756
167 📈
(Org: 174)
(1,739)
0.01 1,739
168 📈
(Org: 172)
(1,728)
- 1,728
169 📈
(Org: 173)
(1,723)
- 1,723
169 📈
(Org: 175)
(1,723)
0 1,723
171 📈
(Org: 176)
(1,702)
- 1,702
172 📈
(Org: 185)
(1,681)
0.09 1,681
173 📈
(Org: 178)
(1,677)
0.03 1,677
174 📈
(Org: 177)
(1,636)
- 1,636
175 📈
(Org: 178)
(1,634)
- 1,634
176 📈
(Org: 181)
(1,632)
0.01 1,632
177 📈
(Org: 199)
(1,629)
0.16 1,629
178 📈
(Org: 180)
(1,618)
- 1,618
178 📈
(Org: 245)
(1,618)
0.45 1,618
180 📈
(Org: 183)
(1,588)
- 1,588
181 📈
(Org: 190)
(1,581)
0.07 1,581
182 📈
(Org: 184)
(1,557)
0 1,557
183 📈
(Org: 257)
(1,555)
0.49 1,555
184 📈
(Org: 193)
(1,519)
0.04 1,519
185 📈
(Org: 254)
(1,502)
0.46 1,502
186 📈
(Org: 191)
(1,495)
0.03 1,495
187 ➡️
(Org: 187)
(1,482)
- 1,482
188 📈
(Org: 204)
(1,460)
0.1 1,460
189 📈
(Org: 191)
(1,457)
- 1,457
190 📈
(Org: 197)
(1,451)
0.03 1,451
191 📈
(Org: 198)
(1,397)
0.01 1,397
192 📈
(Org: 208)
(1,361)
0.08 1,361
193 📈
(Org: 206)
(1,357)
0.06 1,357
194 📈
(Org: 200)
(1,355)
- 1,355
195 📈
(Org: 201)
(1,326)
- 1,326
196 📈
(Org: 212)
(1,318)
0.07 1,318
197 📈
(Org: 309)
(1,294)
0.56 1,294
198 📈
(Org: 207)
(1,254)
- 1,254
199 📈
(Org: 209)
(1,249)
- 1,249
200 📈
(Org: 210)
(1,246)
- 1,246