201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2009 - 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: 204)
(1,856)
0.01 1,856
202 📈
(Org: 339)
(1,842)
0.5 1,842
203 📈
(Org: 206)
(1,837)
- 1,837
204 📈
(Org: 207)
(1,834)
- 1,834
205 📈
(Org: 214)
(1,829)
0.04 1,829
206 📈
(Org: 210)
(1,815)
0.01 1,815
207 📈
(Org: 257)
(1,785)
0.25 1,785
208 📈
(Org: 250)
(1,766)
0.21 1,766
209 📈
(Org: 218)
(1,764)
0.04 1,764
210 📈
(Org: 212)
(1,762)
- 1,762
211 📈
(Org: 325)
(1,745)
0.43 1,745
212 📈
(Org: 231)
(1,744)
0.1 1,744
213 📈
(Org: 430)
(1,729)
0.62 1,729
214 📈
(Org: 240)
(1,727)
0.15 1,727
215 📈
(Org: 217)
(1,714)
0.01 1,714
216 📈
(Org: 224)
(1,687)
0.04 1,687
217 📈
(Org: 281)
(1,678)
0.29 1,678
218 📈
(Org: 285)
(1,666)
0.31 1,666
219 ➡️
(Org: 219)
(1,663)
- 1,663
220 📈
(Org: 225)
(1,652)
0.02 1,652
221 📉
(Org: 220)
(1,650)
- 1,650
222 📉
(Org: 221)
(1,647)
- 1,647
223 📈
(Org: 306)
(1,641)
0.36 1,641
224 📉
(Org: 223)
(1,633)
- 1,633
225 📈
(Org: 230)
(1,628)
0.03 1,628
226 📈
(Org: 227)
(1,617)
0.01 1,617
227 📉
(Org: 225)
(1,612)
- 1,612
228 📈
(Org: 232)
(1,600)
0.03 1,600
229 📈
(Org: 348)
(1,590)
0.43 1,590
230 📈
(Org: 278)
(1,579)
0.22 1,579
231 📈
(Org: 243)
(1,569)
0.07 1,569
232 📈
(Org: 234)
(1,555)
0.02 1,555
233 📈
(Org: 236)
(1,547)
0.02 1,547
234 📈
(Org: 237)
(1,535)
0.03 1,535
235 📈
(Org: 239)
(1,515)
0.03 1,515
236 📈
(Org: 252)
(1,502)
0.08 1,502
237 📈
(Org: 255)
(1,495)
0.09 1,495
238 📈
(Org: 256)
(1,491)
0.1 1,491
239 📉
(Org: 238)
(1,488)
- 1,488
240 📈
(Org: 279)
(1,483)
0.18 1,483
241 📈
(Org: 281)
(1,480)
0.19 1,480
242 📈
(Org: 267)
(1,471)
0.13 1,471
243 📉
(Org: 241)
(1,465)
- 1,465
244 📈
(Org: 433)
(1,461)
0.56 1,461
245 📈
(Org: 247)
(1,459)
0.02 1,459
245 📈
(Org: 251)
(1,459)
0.05 1,459
247 📈
(Org: 274)
(1,423)
0.12 1,423
248 ➡️
(Org: 248)
(1,417)
- 1,417
249 📈
(Org: 259)
(1,400)
0.04 1,400
250 📉
(Org: 249)
(1,396)
- 1,396
251 📈
(Org: 254)
(1,387)
0.01 1,387
252 📈
(Org: 258)
(1,374)
0.02 1,374
253 📈
(Org: 261)
(1,356)
0.02 1,356
254 📈
(Org: 351)
(1,355)
0.34 1,355
254 📈
(Org: 272)
(1,355)
0.07 1,355
256 📈
(Org: 264)
(1,351)
0.02 1,351
257 📈
(Org: 268)
(1,335)
0.04 1,335
258 📈
(Org: 263)
(1,328)
- 1,328
259 📈
(Org: 277)
(1,323)
0.07 1,323
260 📈
(Org: 266)
(1,300)
0.01 1,300
261 📈
(Org: 270)
(1,280)
0 1,280
262 📈
(Org: 269)
(1,276)
- 1,276
263 📈
(Org: 271)
(1,268)
- 1,268
264 📈
(Org: 283)
(1,266)
0.07 1,266
265 📈
(Org: 272)
(1,263)
- 1,263
266 📈
(Org: 280)
(1,245)
0.03 1,245
267 📈
(Org: 276)
(1,239)
- 1,239
268 📈
(Org: 398)
(1,225)
0.39 1,225
269 📈
(Org: 419)
(1,211)
0.43 1,211
270 📈
(Org: 695)
(1,203)
0.71 1,203
271 📈
(Org: 377)
(1,200)
0.33 1,200
272 📈
(Org: 286)
(1,191)
0.04 1,191
273 📈
(Org: 313)
(1,188)
0.14 1,188
274 📈
(Org: 503)
(1,185)
0.55 1,185
275 📈
(Org: 333)
(1,182)
0.19 1,182
276 📈
(Org: 326)
(1,174)
0.16 1,174
277 📈
(Org: 299)
(1,173)
0.07 1,173
278 📈
(Org: 284)
(1,167)
0.01 1,167
279 📈
(Org: 293)
(1,149)
0.02 1,149
279 📈
(Org: 288)
(1,149)
0.01 1,149
281 📈
(Org: 366)
(1,147)
0.28 1,147
282 📈
(Org: 298)
(1,141)
0.04 1,141
283 📈
(Org: 303)
(1,140)
0.07 1,140
283 📈
(Org: 289)
(1,140)
- 1,140
285 📈
(Org: 290)
(1,139)
- 1,139
286 📈
(Org: 300)
(1,138)
0.05 1,138
286 📈
(Org: 291)
(1,138)
- 1,138
288 📈
(Org: 295)
(1,117)
- 1,117
289 📈
(Org: 308)
(1,099)
0.05 1,099
290 📈
(Org: 397)
(1,093)
0.31 1,093
291 📈
(Org: 309)
(1,087)
0.04 1,087
292 📈
(Org: 305)
(1,086)
0.02 1,086
293 📈
(Org: 301)
(1,084)
- 1,084
294 📈
(Org: 349)
(1,077)
0.17 1,077
295 📈
(Org: 302)
(1,075)
- 1,075
296 📈
(Org: 307)
(1,064)
0.01 1,064
297 📈
(Org: 358)
(1,063)
0.19 1,063
298 📈
(Org: 304)
(1,061)
- 1,061
299 📈
(Org: 334)
(1,058)
0.1 1,058
300 📈
(Org: 312)
(1,053)
0.02 1,053