201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2016 - 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: 203)
(1,993)
- 1,993
202 📈
(Org: 224)
(1,984)
0.13 1,984
203 📈
(Org: 206)
(1,945)
0 1,945
204 📈
(Org: 208)
(1,926)
0 1,926
204 📈
(Org: 207)
(1,926)
- 1,926
204 📈
(Org: 209)
(1,926)
0.01 1,926
207 📈
(Org: 294)
(1,897)
0.35 1,897
208 📈
(Org: 285)
(1,889)
0.33 1,889
209 📈
(Org: 214)
(1,880)
0.02 1,880
209 📈
(Org: 232)
(1,880)
0.11 1,880
211 📉
(Org: 210)
(1,877)
- 1,877
212 ➡️
(Org: 212)
(1,857)
0 1,857
213 📈
(Org: 227)
(1,832)
0.07 1,832
214 📈
(Org: 291)
(1,830)
0.32 1,830
215 📈
(Org: 249)
(1,828)
0.19 1,828
216 📈
(Org: 255)
(1,817)
0.23 1,817
217 📉
(Org: 216)
(1,813)
0.01 1,813
218 📉
(Org: 217)
(1,799)
0 1,799
219 📉
(Org: 218)
(1,792)
0 1,792
220 ➡️
(Org: 220)
(1,791)
0.01 1,791
221 📈
(Org: 297)
(1,783)
0.32 1,783
222 📈
(Org: 230)
(1,779)
0.05 1,779
223 📈
(Org: 264)
(1,773)
0.22 1,773
224 📉
(Org: 222)
(1,753)
- 1,753
225 📈
(Org: 287)
(1,741)
0.28 1,741
226 📉
(Org: 223)
(1,734)
- 1,734
227 📈
(Org: 283)
(1,723)
0.25 1,723
227 📉
(Org: 225)
(1,723)
- 1,723
229 📉
(Org: 228)
(1,716)
0.01 1,716
230 📈
(Org: 233)
(1,682)
0.01 1,682
231 ➡️
(Org: 231)
(1,680)
- 1,680
232 📈
(Org: 279)
(1,638)
0.21 1,638
233 📈
(Org: 410)
(1,637)
0.52 1,637
233 📈
(Org: 235)
(1,637)
- 1,637
235 📈
(Org: 401)
(1,633)
0.51 1,633
236 ➡️
(Org: 236)
(1,632)
- 1,632
237 📈
(Org: 301)
(1,618)
0.28 1,618
238 📈
(Org: 248)
(1,615)
0.07 1,615
239 📈
(Org: 241)
(1,610)
0.01 1,610
240 📈
(Org: 245)
(1,606)
0.04 1,606
241 📉
(Org: 237)
(1,605)
- 1,605
242 ➡️
(Org: 242)
(1,592)
0 1,592
243 📈
(Org: 244)
(1,570)
0.01 1,570
244 📈
(Org: 473)
(1,559)
0.58 1,559
245 📈
(Org: 288)
(1,558)
0.2 1,558
246 📈
(Org: 435)
(1,549)
0.54 1,549
247 ➡️
(Org: 247)
(1,533)
0.01 1,533
248 📉
(Org: 246)
(1,523)
- 1,523
249 📈
(Org: 290)
(1,515)
0.18 1,515
250 📈
(Org: 268)
(1,510)
0.09 1,510
251 📈
(Org: 494)
(1,507)
0.59 1,507
252 📈
(Org: 266)
(1,499)
0.08 1,499
253 📈
(Org: 321)
(1,475)
0.26 1,475
254 📈
(Org: 292)
(1,472)
0.16 1,472
255 📉
(Org: 252)
(1,465)
0.01 1,465
256 📈
(Org: 369)
(1,434)
0.37 1,434
257 📈
(Org: 262)
(1,432)
0.03 1,432
258 📉
(Org: 254)
(1,431)
0.01 1,431
259 📈
(Org: 261)
(1,426)
0.03 1,426
260 📉
(Org: 258)
(1,422)
0.02 1,422
261 📈
(Org: 269)
(1,420)
0.04 1,420
262 📈
(Org: 299)
(1,414)
0.16 1,414
263 📉
(Org: 256)
(1,402)
- 1,402
264 📉
(Org: 257)
(1,400)
- 1,400
265 📈
(Org: 282)
(1,386)
0.07 1,386
266 📉
(Org: 263)
(1,385)
- 1,385
267 📈
(Org: 273)
(1,374)
0.02 1,374
268 📈
(Org: 270)
(1,372)
0.01 1,372
269 📉
(Org: 267)
(1,371)
- 1,371
270 📈
(Org: 272)
(1,365)
0.01 1,365
271 ➡️
(Org: 271)
(1,363)
0.01 1,363
272 📈
(Org: 273)
(1,360)
0.01 1,360
273 📈
(Org: 414)
(1,351)
0.43 1,351
274 📈
(Org: 309)
(1,344)
0.15 1,344
275 📈
(Org: 361)
(1,340)
0.31 1,340
276 📉
(Org: 275)
(1,324)
- 1,324
277 ➡️
(Org: 277)
(1,320)
0.01 1,320
278 📈
(Org: 281)
(1,317)
0.02 1,317
279 📉
(Org: 276)
(1,314)
- 1,314
280 ➡️
(Org: 280)
(1,301)
- 1,301
281 📈
(Org: 424)
(1,294)
0.43 1,294
282 📈
(Org: 300)
(1,293)
0.09 1,293
283 📈
(Org: 284)
(1,279)
- 1,279
284 📈
(Org: 314)
(1,264)
0.12 1,264
285 📈
(Org: 286)
(1,261)
- 1,261
286 📈
(Org: 289)
(1,245)
- 1,245
287 📈
(Org: 495)
(1,243)
0.51 1,243
288 📈
(Org: 306)
(1,236)
0.06 1,236
289 📈
(Org: 341)
(1,235)
0.18 1,235
290 📈
(Org: 295)
(1,226)
- 1,226
291 📈
(Org: 296)
(1,224)
- 1,224
292 📈
(Org: 313)
(1,187)
0.06 1,187
293 📈
(Org: 305)
(1,172)
0.01 1,172
293 📈
(Org: 301)
(1,172)
- 1,172
295 📈
(Org: 304)
(1,170)
0.01 1,170
296 📈
(Org: 303)
(1,168)
- 1,168
297 📈
(Org: 310)
(1,164)
0.01 1,164
298 📈
(Org: 326)
(1,157)
0.08 1,157
298 📈
(Org: 337)
(1,157)
0.11 1,157
300 📈
(Org: 307)
(1,156)
- 1,156