201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2006 - 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: 207)
(1,860)
- 1,860
202 📈
(Org: 208)
(1,857)
0.01 1,857
202 📈
(Org: 241)
(1,857)
0.24 1,857
204 📈
(Org: 225)
(1,856)
0.14 1,856
205 📈
(Org: 209)
(1,819)
- 1,819
206 📈
(Org: 211)
(1,794)
- 1,794
207 📈
(Org: 220)
(1,787)
0.08 1,787
208 📈
(Org: 369)
(1,768)
0.54 1,768
209 📈
(Org: 216)
(1,735)
0 1,735
210 📈
(Org: 272)
(1,718)
0.26 1,718
211 📈
(Org: 221)
(1,716)
0.05 1,716
212 📈
(Org: 222)
(1,699)
0.05 1,699
213 📈
(Org: 273)
(1,669)
0.24 1,669
213 📈
(Org: 224)
(1,669)
0.04 1,669
215 📈
(Org: 226)
(1,668)
0.04 1,668
216 📈
(Org: 238)
(1,657)
0.12 1,657
217 📈
(Org: 219)
(1,651)
- 1,651
218 📈
(Org: 412)
(1,616)
0.57 1,616
219 📈
(Org: 229)
(1,589)
0 1,589
220 📈
(Org: 233)
(1,571)
0.01 1,571
221 📈
(Org: 231)
(1,565)
0 1,565
222 📈
(Org: 237)
(1,563)
0.07 1,563
223 📈
(Org: 232)
(1,552)
- 1,552
224 📈
(Org: 250)
(1,532)
0.1 1,532
225 📈
(Org: 316)
(1,529)
0.34 1,529
226 📈
(Org: 308)
(1,522)
0.3 1,522
227 📈
(Org: 235)
(1,507)
0 1,507
228 📈
(Org: 278)
(1,501)
0.17 1,501
228 📈
(Org: 235)
(1,501)
- 1,501
230 📈
(Org: 265)
(1,493)
0.13 1,493
231 📈
(Org: 327)
(1,480)
0.33 1,480
232 📈
(Org: 291)
(1,475)
0.2 1,475
233 📈
(Org: 266)
(1,456)
0.11 1,456
234 📈
(Org: 239)
(1,443)
0.02 1,443
235 📈
(Org: 299)
(1,440)
0.23 1,440
236 📈
(Org: 242)
(1,424)
0.01 1,424
237 📈
(Org: 252)
(1,423)
0.04 1,423
238 📈
(Org: 240)
(1,415)
- 1,415
239 📈
(Org: 248)
(1,411)
0.02 1,411
240 📈
(Org: 246)
(1,408)
0 1,408
241 📈
(Org: 271)
(1,404)
0.09 1,404
242 📈
(Org: 261)
(1,402)
0.06 1,402
243 📈
(Org: 257)
(1,400)
0.04 1,400
244 📈
(Org: 258)
(1,394)
0.04 1,394
245 📈
(Org: 247)
(1,389)
- 1,389
246 📈
(Org: 253)
(1,383)
0.01 1,383
246 📈
(Org: 256)
(1,383)
0.02 1,383
246 📈
(Org: 251)
(1,383)
0.01 1,383
249 ➡️
(Org: 249)
(1,374)
- 1,374
250 📈
(Org: 275)
(1,364)
0.08 1,364
251 📈
(Org: 468)
(1,356)
0.58 1,356
252 📈
(Org: 255)
(1,355)
- 1,355
252 📈
(Org: 260)
(1,355)
0.03 1,355
254 📈
(Org: 267)
(1,347)
0.04 1,347
255 📈
(Org: 261)
(1,329)
0.01 1,329
256 📈
(Org: 259)
(1,328)
- 1,328
257 📈
(Org: 268)
(1,322)
0.02 1,322
258 📈
(Org: 289)
(1,321)
0.1 1,321
259 📈
(Org: 261)
(1,312)
- 1,312
260 📈
(Org: 264)
(1,304)
- 1,304
261 📈
(Org: 274)
(1,297)
0.02 1,297
262 📈
(Org: 282)
(1,292)
0.05 1,292
263 📈
(Org: 277)
(1,279)
0.03 1,279
264 📈
(Org: 347)
(1,275)
0.31 1,275
264 📈
(Org: 695)
(1,275)
0.75 1,275
266 📈
(Org: 276)
(1,261)
0.01 1,261
267 📈
(Org: 420)
(1,257)
0.46 1,257
268 📈
(Org: 281)
(1,252)
0.01 1,252
269 📈
(Org: 348)
(1,243)
0.3 1,243
270 📈
(Org: 279)
(1,241)
- 1,241
271 📈
(Org: 283)
(1,229)
- 1,229
272 📈
(Org: 285)
(1,225)
- 1,225
273 📈
(Org: 313)
(1,213)
0.15 1,213
274 📈
(Org: 288)
(1,210)
- 1,210
275 📈
(Org: 331)
(1,207)
0.2 1,207
276 📈
(Org: 326)
(1,187)
0.17 1,187
277 📈
(Org: 290)
(1,184)
- 1,184
278 📈
(Org: 304)
(1,181)
0.08 1,181
279 📈
(Org: 292)
(1,174)
- 1,174
280 📈
(Org: 296)
(1,172)
0.03 1,172
281 📈
(Org: 293)
(1,167)
0.01 1,167
282 📈
(Org: 297)
(1,150)
0.02 1,150
283 📈
(Org: 324)
(1,146)
0.14 1,146
284 📈
(Org: 301)
(1,138)
0.03 1,138
285 📈
(Org: 295)
(1,133)
- 1,133
286 📈
(Org: 320)
(1,132)
0.12 1,132
287 📈
(Org: 298)
(1,120)
- 1,120
288 📈
(Org: 324)
(1,114)
0.11 1,114
289 📈
(Org: 300)
(1,111)
- 1,111
290 📈
(Org: 749)
(1,106)
0.75 1,106
291 📈
(Org: 302)
(1,099)
- 1,099
291 📈
(Org: 307)
(1,099)
0.02 1,099
293 📈
(Org: 303)
(1,098)
- 1,098
294 📈
(Org: 306)
(1,089)
0.01 1,089
295 📈
(Org: 309)
(1,076)
0.01 1,076
296 📈
(Org: 339)
(1,066)
0.14 1,066
297 📈
(Org: 310)
(1,059)
0.01 1,059
298 📈
(Org: 391)
(1,058)
0.28 1,058
299 📈
(Org: 337)
(1,040)
0.1 1,040
300 📈
(Org: 328)
(1,039)
0.05 1,039