101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1969 - 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: 98)
(3,063)
- 3,063
102 ➡️
(Org: 102)
(3,042)
- 3,042
103 📈
(Org: 106)
(3,040)
0.02 3,040
104 ➡️
(Org: 104)
(3,024)
- 3,024
105 ➡️
(Org: 105)
(3,017)
0.01 3,017
106 📈
(Org: 144)
(2,980)
0.29 2,980
107 📈
(Org: 115)
(2,971)
0.06 2,971
108 ➡️
(Org: 108)
(2,935)
- 2,935
109 📈
(Org: 154)
(2,932)
0.35 2,932
110 📈
(Org: 132)
(2,930)
0.22 2,930
111 📈
(Org: 151)
(2,929)
0.32 2,929
112 📉
(Org: 110)
(2,891)
- 2,891
113 📈
(Org: 123)
(2,890)
0.11 2,890
114 📉
(Org: 111)
(2,885)
- 2,885
115 📉
(Org: 112)
(2,869)
- 2,869
116 📈
(Org: 152)
(2,868)
0.31 2,868
117 📉
(Org: 114)
(2,867)
0 2,867
118 📉
(Org: 113)
(2,864)
- 2,864
119 📉
(Org: 118)
(2,839)
0.03 2,839
120 📈
(Org: 121)
(2,799)
0.06 2,799
121 📉
(Org: 117)
(2,764)
- 2,764
122 📈
(Org: 130)
(2,737)
0.14 2,737
123 📉
(Org: 122)
(2,645)
0.01 2,645
124 📈
(Org: 141)
(2,590)
0.16 2,590
125 📉
(Org: 124)
(2,451)
0 2,451
126 📉
(Org: 125)
(2,427)
0 2,427
127 📉
(Org: 126)
(2,422)
0 2,422
128 📈
(Org: 164)
(2,419)
0.31 2,419
129 ➡️
(Org: 129)
(2,394)
0.01 2,394
130 📈
(Org: 137)
(2,369)
0.06 2,369
131 📈
(Org: 133)
(2,364)
0.04 2,364
132 📉
(Org: 131)
(2,352)
- 2,352
133 📈
(Org: 186)
(2,339)
0.36 2,339
134 ➡️
(Org: 134)
(2,254)
0 2,254
135 ➡️
(Org: 135)
(2,251)
0 2,251
136 📈
(Org: 146)
(2,224)
0.06 2,224
137 📈
(Org: 138)
(2,213)
- 2,213
138 📈
(Org: 139)
(2,198)
- 2,198
139 📈
(Org: 140)
(2,194)
- 2,194
140 📈
(Org: 142)
(2,146)
- 2,146
141 📈
(Org: 143)
(2,135)
- 2,135
142 📈
(Org: 145)
(2,128)
0.01 2,128
143 📈
(Org: 147)
(2,123)
0.02 2,123
144 📈
(Org: 148)
(2,081)
0 2,081
145 📈
(Org: 149)
(2,065)
- 2,065
146 📈
(Org: 150)
(2,023)
0 2,023
147 📈
(Org: 153)
(1,986)
0.02 1,986
148 📈
(Org: 178)
(1,968)
0.2 1,968
149 📈
(Org: 157)
(1,928)
0.03 1,928
150 📈
(Org: 155)
(1,921)
0.01 1,921
151 📈
(Org: 156)
(1,887)
- 1,887
152 📈
(Org: 205)
(1,842)
0.34 1,842
153 📈
(Org: 179)
(1,820)
0.14 1,820
154 📈
(Org: 162)
(1,789)
0.01 1,789
155 📈
(Org: 161)
(1,776)
- 1,776
156 📈
(Org: 168)
(1,775)
0.07 1,775
157 📈
(Org: 163)
(1,768)
0.03 1,768
158 📈
(Org: 175)
(1,703)
0.07 1,703
159 📈
(Org: 166)
(1,691)
0.01 1,691
160 📈
(Org: 165)
(1,675)
- 1,675
161 📈
(Org: 167)
(1,674)
0.01 1,674
162 📈
(Org: 172)
(1,668)
0.03 1,668
163 📈
(Org: 169)
(1,648)
- 1,648
164 📈
(Org: 170)
(1,641)
0.01 1,641
165 📈
(Org: 177)
(1,629)
0.03 1,629
166 📈
(Org: 171)
(1,626)
- 1,626
167 📈
(Org: 182)
(1,579)
0.04 1,579
168 📈
(Org: 176)
(1,575)
- 1,575
169 📈
(Org: 181)
(1,558)
0.01 1,558
170 📈
(Org: 182)
(1,522)
- 1,522
171 📈
(Org: 184)
(1,506)
- 1,506
172 📈
(Org: 185)
(1,496)
- 1,496
173 📈
(Org: 194)
(1,490)
0.09 1,490
174 📈
(Org: 187)
(1,487)
0 1,487
175 📈
(Org: 188)
(1,473)
0.01 1,473
176 📈
(Org: 189)
(1,454)
0.02 1,454
177 📈
(Org: 190)
(1,427)
- 1,427
178 📈
(Org: 201)
(1,424)
0.13 1,424
179 📈
(Org: 191)
(1,403)
- 1,403
180 📈
(Org: 193)
(1,392)
0.02 1,392
181 📈
(Org: 195)
(1,337)
- 1,337
182 📈
(Org: 196)
(1,329)
- 1,329
183 📈
(Org: 197)
(1,326)
0 1,326
184 📈
(Org: 230)
(1,312)
0.24 1,312
184 📈
(Org: 200)
(1,312)
0.03 1,312
186 📈
(Org: 198)
(1,311)
0.01 1,311
187 📈
(Org: 199)
(1,306)
0.02 1,306
188 📈
(Org: 204)
(1,285)
0.05 1,285
189 📈
(Org: 225)
(1,274)
0.19 1,274
190 📈
(Org: 202)
(1,240)
0.01 1,240
191 📈
(Org: 206)
(1,231)
0.01 1,231
192 📈
(Org: 203)
(1,225)
- 1,225
193 📈
(Org: 210)
(1,217)
0.02 1,217
194 📈
(Org: 209)
(1,216)
0.01 1,216
195 📈
(Org: 207)
(1,211)
- 1,211
196 📈
(Org: 208)
(1,204)
- 1,204
197 📈
(Org: 212)
(1,176)
0.01 1,176
198 📈
(Org: 211)
(1,170)
- 1,170
199 📈
(Org: 279)
(1,165)
0.39 1,165
200 📈
(Org: 250)
(1,156)
0.28 1,156