201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2008 - 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
201 📈
(Org: 208)
(1,869)
0.01 1,869
202 📈
(Org: 211)
(1,861)
0.02 1,861
203 📈
(Org: 229)
(1,848)
0.13 1,848
204 📈
(Org: 309)
(1,846)
0.42 1,846
205 📈
(Org: 230)
(1,843)
0.13 1,843
206 📈
(Org: 212)
(1,815)
- 1,815
207 📈
(Org: 218)
(1,797)
0.03 1,797
208 📈
(Org: 224)
(1,792)
0.06 1,792
209 📈
(Org: 227)
(1,790)
0.09 1,790
210 📈
(Org: 273)
(1,789)
0.3 1,789
211 📈
(Org: 215)
(1,784)
0 1,784
212 📈
(Org: 216)
(1,748)
- 1,748
213 📈
(Org: 217)
(1,747)
- 1,747
214 📈
(Org: 221)
(1,742)
0.02 1,742
215 📈
(Org: 219)
(1,735)
- 1,735
216 📈
(Org: 226)
(1,731)
0.05 1,731
217 📈
(Org: 414)
(1,725)
0.58 1,725
218 📈
(Org: 262)
(1,722)
0.22 1,722
219 📈
(Org: 254)
(1,720)
0.19 1,720
220 📈
(Org: 263)
(1,716)
0.23 1,716
221 📈
(Org: 573)
(1,714)
0.74 1,714
222 📈
(Org: 247)
(1,709)
0.16 1,709
223 📉
(Org: 220)
(1,707)
- 1,707
224 📉
(Org: 222)
(1,689)
- 1,689
225 ➡️
(Org: 225)
(1,674)
- 1,674
226 📈
(Org: 234)
(1,668)
0.05 1,668
227 📈
(Org: 228)
(1,633)
0 1,633
228 📈
(Org: 317)
(1,630)
0.35 1,630
229 📈
(Org: 232)
(1,621)
0.02 1,621
230 📈
(Org: 257)
(1,619)
0.16 1,619
231 📈
(Org: 246)
(1,614)
0.08 1,614
232 📈
(Org: 237)
(1,610)
0.04 1,610
233 📉
(Org: 231)
(1,605)
0 1,605
234 📈
(Org: 236)
(1,591)
0.02 1,591
234 📈
(Org: 360)
(1,591)
0.46 1,591
236 📈
(Org: 242)
(1,587)
0.05 1,587
237 📉
(Org: 233)
(1,580)
- 1,580
238 📈
(Org: 241)
(1,564)
0.02 1,564
239 📈
(Org: 305)
(1,546)
0.29 1,546
240 📉
(Org: 238)
(1,544)
- 1,544
241 📈
(Org: 243)
(1,535)
0.02 1,535
242 📈
(Org: 244)
(1,479)
- 1,479
243 📈
(Org: 254)
(1,447)
0.04 1,447
244 📈
(Org: 252)
(1,439)
0.03 1,439
245 📈
(Org: 256)
(1,429)
0.04 1,429
246 📈
(Org: 251)
(1,428)
0.02 1,428
247 📈
(Org: 271)
(1,419)
0.11 1,419
248 ➡️
(Org: 248)
(1,409)
- 1,409
249 📈
(Org: 261)
(1,390)
0.03 1,390
250 📈
(Org: 296)
(1,379)
0.18 1,379
251 📈
(Org: 259)
(1,365)
0.01 1,365
252 📈
(Org: 403)
(1,361)
0.46 1,361
252 📈
(Org: 259)
(1,361)
0.01 1,361
254 📈
(Org: 258)
(1,355)
- 1,355
255 📈
(Org: 336)
(1,351)
0.28 1,351
256 📈
(Org: 280)
(1,344)
0.09 1,344
257 📈
(Org: 438)
(1,342)
0.51 1,342
258 📈
(Org: 352)
(1,340)
0.33 1,340
259 📈
(Org: 269)
(1,309)
0.01 1,309
260 📈
(Org: 277)
(1,303)
0.06 1,303
261 📈
(Org: 272)
(1,292)
0.03 1,292
262 📈
(Org: 318)
(1,279)
0.18 1,279
263 📈
(Org: 289)
(1,271)
0.07 1,271
264 📈
(Org: 273)
(1,265)
0.01 1,265
265 📈
(Org: 507)
(1,257)
0.57 1,257
266 📈
(Org: 280)
(1,255)
0.03 1,255
267 📈
(Org: 275)
(1,245)
- 1,245
268 📈
(Org: 283)
(1,235)
0.03 1,235
269 📈
(Org: 282)
(1,230)
0.02 1,230
270 📈
(Org: 279)
(1,228)
0.01 1,228
270 📈
(Org: 278)
(1,228)
- 1,228
272 📈
(Org: 313)
(1,226)
0.13 1,226
273 📈
(Org: 306)
(1,220)
0.11 1,220
274 📈
(Org: 286)
(1,207)
0.01 1,207
275 📈
(Org: 284)
(1,200)
- 1,200
276 📈
(Org: 378)
(1,198)
0.32 1,198
277 📈
(Org: 291)
(1,196)
0.03 1,196
278 📈
(Org: 311)
(1,193)
0.1 1,193
279 📈
(Org: 288)
(1,189)
0.01 1,189
280 📈
(Org: 290)
(1,184)
0.01 1,184
281 📈
(Org: 309)
(1,166)
0.08 1,166
282 📈
(Org: 787)
(1,156)
0.76 1,156
283 📈
(Org: 301)
(1,155)
0.05 1,155
284 📈
(Org: 292)
(1,146)
- 1,146
285 📈
(Org: 293)
(1,144)
0 1,144
286 📈
(Org: 299)
(1,140)
0.02 1,140
287 📈
(Org: 293)
(1,139)
- 1,139
288 📈
(Org: 295)
(1,137)
- 1,137
288 📈
(Org: 303)
(1,137)
0.03 1,137
290 📈
(Org: 346)
(1,136)
0.17 1,136
291 📈
(Org: 302)
(1,126)
0.02 1,126
292 📈
(Org: 298)
(1,119)
- 1,119
293 📈
(Org: 300)
(1,117)
0.01 1,117
294 📈
(Org: 422)
(1,103)
0.37 1,103
294 📈
(Org: 349)
(1,103)
0.17 1,103
296 📈
(Org: 307)
(1,089)
- 1,089
296 📈
(Org: 319)
(1,089)
0.04 1,089
298 📈
(Org: 308)
(1,088)
0 1,088
299 📈
(Org: 335)
(1,079)
0.09 1,079
300 📈
(Org: 314)
(1,076)
0.01 1,076