201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2005 - 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: 228)
(1,846)
0.19 1,846
202 📈
(Org: 286)
(1,842)
0.37 1,842
203 📈
(Org: 237)
(1,835)
0.22 1,835
204 📈
(Org: 207)
(1,828)
- 1,828
205 📈
(Org: 209)
(1,798)
0 1,798
206 📈
(Org: 215)
(1,772)
0.06 1,772
207 📈
(Org: 219)
(1,753)
0.08 1,753
208 📈
(Org: 372)
(1,726)
0.55 1,726
209 📈
(Org: 211)
(1,722)
0 1,722
210 📈
(Org: 234)
(1,714)
0.14 1,714
211 📈
(Org: 215)
(1,662)
- 1,662
212 📈
(Org: 222)
(1,661)
0.05 1,661
213 📈
(Org: 218)
(1,645)
- 1,645
214 📈
(Org: 239)
(1,644)
0.14 1,644
215 📈
(Org: 229)
(1,632)
0.09 1,632
216 📈
(Org: 221)
(1,611)
0.01 1,611
217 📈
(Org: 386)
(1,587)
0.53 1,587
218 📈
(Org: 236)
(1,564)
0.07 1,564
219 📈
(Org: 298)
(1,552)
0.29 1,552
220 📈
(Org: 316)
(1,546)
0.33 1,546
221 📈
(Org: 243)
(1,540)
0.1 1,540
222 📈
(Org: 323)
(1,539)
0.35 1,539
223 📈
(Org: 279)
(1,536)
0.22 1,536
224 📈
(Org: 226)
(1,531)
0 1,531
225 📈
(Org: 232)
(1,529)
0.03 1,529
226 📈
(Org: 235)
(1,525)
0.04 1,525
226 📈
(Org: 241)
(1,525)
0.08 1,525
228 📉
(Org: 227)
(1,517)
- 1,517
229 📈
(Org: 233)
(1,490)
0.01 1,490
230 📈
(Org: 231)
(1,480)
- 1,480
231 📈
(Org: 302)
(1,414)
0.23 1,414
232 📈
(Org: 244)
(1,411)
0.02 1,411
233 📈
(Org: 312)
(1,401)
0.25 1,401
234 📈
(Org: 291)
(1,399)
0.19 1,399
235 📈
(Org: 246)
(1,390)
0.02 1,390
236 📈
(Org: 265)
(1,387)
0.1 1,387
237 📈
(Org: 249)
(1,363)
0.03 1,363
238 📈
(Org: 247)
(1,354)
0.01 1,354
239 📈
(Org: 252)
(1,344)
0.02 1,344
240 📈
(Org: 248)
(1,343)
0.01 1,343
240 📈
(Org: 260)
(1,343)
0.06 1,343
242 📈
(Org: 269)
(1,341)
0.08 1,341
243 📈
(Org: 309)
(1,340)
0.2 1,340
244 📈
(Org: 251)
(1,337)
0.02 1,337
245 📈
(Org: 332)
(1,336)
0.32 1,336
246 📈
(Org: 257)
(1,334)
0.03 1,334
247 📈
(Org: 252)
(1,312)
- 1,312
248 📈
(Org: 258)
(1,306)
0.02 1,306
249 📈
(Org: 255)
(1,302)
- 1,302
250 📈
(Org: 282)
(1,300)
0.1 1,300
251 📈
(Org: 263)
(1,289)
0.03 1,289
252 📈
(Org: 320)
(1,287)
0.2 1,287
253 📈
(Org: 258)
(1,283)
0.01 1,283
254 📈
(Org: 293)
(1,268)
0.12 1,268
254 📈
(Org: 267)
(1,268)
0.02 1,268
256 📈
(Org: 261)
(1,264)
0 1,264
257 📈
(Org: 263)
(1,256)
- 1,256
258 📈
(Org: 274)
(1,247)
0.02 1,247
258 📈
(Org: 270)
(1,247)
0.01 1,247
260 📈
(Org: 266)
(1,241)
- 1,241
261 📈
(Org: 270)
(1,231)
- 1,231
262 📈
(Org: 272)
(1,225)
- 1,225
263 📈
(Org: 273)
(1,224)
- 1,224
264 📈
(Org: 478)
(1,223)
0.57 1,223
265 📈
(Org: 276)
(1,217)
0.01 1,217
266 📈
(Org: 275)
(1,215)
- 1,215
267 📈
(Org: 288)
(1,213)
0.05 1,213
268 📈
(Org: 303)
(1,209)
0.1 1,209
269 📈
(Org: 277)
(1,207)
- 1,207
270 📈
(Org: 278)
(1,205)
- 1,205
271 📈
(Org: 316)
(1,204)
0.14 1,204
272 📈
(Org: 285)
(1,190)
0.02 1,190
273 📈
(Org: 321)
(1,182)
0.15 1,182
274 📈
(Org: 281)
(1,180)
- 1,180
275 📈
(Org: 284)
(1,169)
- 1,169
276 📈
(Org: 287)
(1,164)
0.01 1,164
277 📈
(Org: 296)
(1,157)
0.04 1,157
277 📈
(Org: 424)
(1,157)
0.46 1,157
279 📈
(Org: 729)
(1,156)
0.76 1,156
280 📈
(Org: 289)
(1,150)
- 1,150
281 📈
(Org: 290)
(1,137)
- 1,137
282 📈
(Org: 308)
(1,129)
0.05 1,129
283 📈
(Org: 292)
(1,127)
- 1,127
284 📈
(Org: 294)
(1,126)
0.01 1,126
285 📈
(Org: 304)
(1,125)
0.04 1,125
286 📈
(Org: 327)
(1,123)
0.15 1,123
287 📈
(Org: 323)
(1,115)
0.1 1,115
288 📈
(Org: 295)
(1,113)
- 1,113
289 📈
(Org: 297)
(1,102)
- 1,102
289 📈
(Org: 299)
(1,102)
0.01 1,102
291 📈
(Org: 306)
(1,099)
0.02 1,099
292 📈
(Org: 300)
(1,093)
- 1,093
293 📈
(Org: 305)
(1,083)
- 1,083
294 📈
(Org: 315)
(1,079)
0.03 1,079
295 📈
(Org: 314)
(1,075)
0.03 1,075
296 📈
(Org: 318)
(1,071)
0.04 1,071
297 📈
(Org: 339)
(1,070)
0.19 1,070
297 📈
(Org: 329)
(1,070)
0.13 1,070
299 📈
(Org: 307)
(1,069)
- 1,069
300 📈
(Org: 313)
(1,066)
0.02 1,066