201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2011 - 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: 288)
(1,807)
0.32 1,807
202 📈
(Org: 218)
(1,803)
0.11 1,803
203 📉
(Org: 201)
(1,791)
- 1,791
204 📈
(Org: 213)
(1,771)
0.07 1,771
205 📈
(Org: 220)
(1,756)
0.08 1,756
206 📈
(Org: 264)
(1,751)
0.25 1,751
207 📈
(Org: 245)
(1,745)
0.17 1,745
208 📈
(Org: 209)
(1,706)
- 1,706
209 📈
(Org: 210)
(1,697)
0.02 1,697
210 📈
(Org: 211)
(1,688)
0.01 1,688
211 📈
(Org: 250)
(1,686)
0.18 1,686
212 📈
(Org: 274)
(1,670)
0.24 1,670
213 📈
(Org: 440)
(1,667)
0.63 1,667
213 📈
(Org: 313)
(1,667)
0.38 1,667
215 ➡️
(Org: 215)
(1,664)
0.02 1,664
216 📈
(Org: 236)
(1,662)
0.08 1,662
217 📉
(Org: 212)
(1,660)
0.01 1,660
218 📉
(Org: 216)
(1,659)
0.02 1,659
219 📉
(Org: 214)
(1,658)
0.01 1,658
220 📈
(Org: 222)
(1,646)
0.02 1,646
221 📉
(Org: 217)
(1,629)
- 1,629
222 📉
(Org: 219)
(1,624)
0.01 1,624
223 📈
(Org: 227)
(1,621)
0.02 1,621
224 📈
(Org: 228)
(1,619)
0.02 1,619
224 📈
(Org: 378)
(1,619)
0.52 1,619
226 📉
(Org: 224)
(1,605)
0 1,605
227 📈
(Org: 347)
(1,603)
0.46 1,603
228 📉
(Org: 226)
(1,601)
0.01 1,601
229 📈
(Org: 234)
(1,596)
0.04 1,596
230 📈
(Org: 241)
(1,573)
0.05 1,573
230 ➡️
(Org: 230)
(1,573)
- 1,573
232 📉
(Org: 231)
(1,559)
- 1,559
233 📈
(Org: 252)
(1,552)
0.12 1,552
234 📈
(Org: 235)
(1,549)
0.02 1,549
235 📉
(Org: 233)
(1,539)
0 1,539
236 📈
(Org: 238)
(1,520)
0.01 1,520
237 📈
(Org: 293)
(1,517)
0.22 1,517
238 📈
(Org: 242)
(1,498)
0.01 1,498
239 📈
(Org: 240)
(1,495)
- 1,495
240 📈
(Org: 254)
(1,484)
0.08 1,484
241 📈
(Org: 429)
(1,479)
0.57 1,479
241 📈
(Org: 314)
(1,479)
0.31 1,479
243 📈
(Org: 244)
(1,468)
0 1,468
243 ➡️
(Org: 243)
(1,468)
- 1,468
245 📈
(Org: 257)
(1,457)
0.08 1,457
246 📈
(Org: 333)
(1,431)
0.36 1,431
247 📈
(Org: 248)
(1,420)
0 1,420
248 📈
(Org: 251)
(1,410)
0.02 1,410
249 📈
(Org: 258)
(1,398)
0.04 1,398
250 📈
(Org: 254)
(1,389)
0.02 1,389
251 📈
(Org: 282)
(1,370)
0.09 1,370
252 📈
(Org: 280)
(1,364)
0.08 1,364
253 📈
(Org: 266)
(1,360)
0.04 1,360
254 📈
(Org: 256)
(1,356)
- 1,356
255 📈
(Org: 262)
(1,353)
0.02 1,353
256 📈
(Org: 270)
(1,344)
0.04 1,344
257 📈
(Org: 261)
(1,339)
0.01 1,339
258 📈
(Org: 263)
(1,315)
- 1,315
259 📈
(Org: 266)
(1,304)
- 1,304
260 📈
(Org: 300)
(1,292)
0.15 1,292
261 📈
(Org: 272)
(1,287)
- 1,287
261 📈
(Org: 279)
(1,287)
0.02 1,287
263 📈
(Org: 276)
(1,285)
0.01 1,285
264 📈
(Org: 291)
(1,279)
0.06 1,279
265 📈
(Org: 277)
(1,273)
0.01 1,273
265 📈
(Org: 275)
(1,273)
- 1,273
267 📈
(Org: 281)
(1,272)
0.01 1,272
268 📈
(Org: 284)
(1,264)
0.02 1,264
269 📈
(Org: 283)
(1,257)
0.01 1,257
270 📈
(Org: 290)
(1,248)
0.04 1,248
271 📈
(Org: 285)
(1,232)
- 1,232
272 📈
(Org: 319)
(1,230)
0.19 1,230
273 📈
(Org: 352)
(1,229)
0.31 1,229
273 📈
(Org: 286)
(1,229)
- 1,229
275 📈
(Org: 323)
(1,219)
0.2 1,219
276 📈
(Org: 296)
(1,186)
0.05 1,186
277 📈
(Org: 505)
(1,180)
0.57 1,180
278 📈
(Org: 302)
(1,161)
0.06 1,161
279 📈
(Org: 328)
(1,159)
0.18 1,159
280 📈
(Org: 298)
(1,158)
0.03 1,158
281 📈
(Org: 306)
(1,156)
0.09 1,156
282 📈
(Org: 567)
(1,154)
0.62 1,154
283 📈
(Org: 294)
(1,145)
- 1,145
284 📈
(Org: 295)
(1,131)
- 1,131
285 📈
(Org: 299)
(1,123)
0.01 1,123
286 📈
(Org: 302)
(1,115)
0.02 1,115
287 📈
(Org: 320)
(1,114)
0.11 1,114
288 📈
(Org: 324)
(1,107)
0.12 1,107
289 📈
(Org: 332)
(1,103)
0.17 1,103
290 📈
(Org: 322)
(1,098)
0.1 1,098
291 📈
(Org: 304)
(1,095)
0.01 1,095
292 📈
(Org: 337)
(1,093)
0.18 1,093
293 📈
(Org: 312)
(1,079)
0.05 1,079
294 📈
(Org: 321)
(1,074)
0.08 1,074
295 📈
(Org: 331)
(1,069)
0.13 1,069
296 📈
(Org: 327)
(1,067)
0.11 1,067
297 📈
(Org: 310)
(1,050)
0.01 1,050
298 📈
(Org: 307)
(1,049)
- 1,049
299 📈
(Org: 308)
(1,048)
- 1,048
300 📈
(Org: 309)
(1,047)
- 1,047