201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2019 - 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: 202)
(1,983)
0.01 1,983
202 📉
(Org: 198)
(1,982)
- 1,982
203 📈
(Org: 211)
(1,973)
0.07 1,973
204 📈
(Org: 261)
(1,971)
0.29 1,971
204 📉
(Org: 201)
(1,971)
- 1,971
206 📈
(Org: 291)
(1,957)
0.4 1,957
207 📉
(Org: 204)
(1,933)
- 1,933
208 📈
(Org: 304)
(1,924)
0.42 1,924
209 📈
(Org: 223)
(1,912)
0.12 1,912
210 📉
(Org: 209)
(1,911)
0.03 1,911
211 📈
(Org: 216)
(1,904)
0.07 1,904
212 📈
(Org: 237)
(1,903)
0.16 1,903
213 📈
(Org: 376)
(1,891)
0.55 1,891
214 📉
(Org: 207)
(1,888)
0 1,888
215 📉
(Org: 206)
(1,884)
- 1,884
216 📈
(Org: 355)
(1,882)
0.51 1,882
217 📉
(Org: 208)
(1,878)
0.01 1,878
218 📈
(Org: 236)
(1,856)
0.13 1,856
219 📈
(Org: 225)
(1,832)
0.09 1,832
220 📉
(Org: 212)
(1,825)
0 1,825
221 📈
(Org: 233)
(1,822)
0.11 1,822
222 📈
(Org: 334)
(1,818)
0.45 1,818
223 📈
(Org: 248)
(1,805)
0.18 1,805
224 📉
(Org: 215)
(1,803)
0.02 1,803
225 📈
(Org: 295)
(1,749)
0.33 1,749
226 📉
(Org: 217)
(1,748)
- 1,748
227 📈
(Org: 287)
(1,744)
0.32 1,744
227 📈
(Org: 232)
(1,744)
0.07 1,744
229 📉
(Org: 218)
(1,721)
- 1,721
230 📉
(Org: 222)
(1,720)
0.02 1,720
231 📉
(Org: 219)
(1,713)
- 1,713
232 📉
(Org: 220)
(1,710)
- 1,710
233 📈
(Org: 285)
(1,679)
0.28 1,679
234 📈
(Org: 300)
(1,676)
0.32 1,676
235 📈
(Org: 311)
(1,675)
0.35 1,675
236 📉
(Org: 224)
(1,672)
- 1,672
237 📉
(Org: 226)
(1,658)
- 1,658
237 📉
(Org: 226)
(1,658)
- 1,658
239 📈
(Org: 256)
(1,651)
0.14 1,651
240 📉
(Org: 228)
(1,645)
- 1,645
241 ➡️
(Org: 241)
(1,644)
0.05 1,644
241 📉
(Org: 239)
(1,644)
0.03 1,644
243 📉
(Org: 230)
(1,638)
- 1,638
244 📉
(Org: 233)
(1,630)
0 1,630
245 📈
(Org: 338)
(1,618)
0.39 1,618
246 📉
(Org: 235)
(1,612)
- 1,612
247 📈
(Org: 306)
(1,607)
0.31 1,607
248 📉
(Org: 240)
(1,603)
0.01 1,603
249 📈
(Org: 336)
(1,591)
0.37 1,591
250 📈
(Org: 299)
(1,560)
0.27 1,560
251 📈
(Org: 291)
(1,559)
0.24 1,559
251 📉
(Org: 242)
(1,559)
0.01 1,559
253 📉
(Org: 243)
(1,543)
- 1,543
254 📈
(Org: 263)
(1,535)
0.11 1,535
255 📈
(Org: 440)
(1,521)
0.55 1,521
256 📉
(Org: 245)
(1,517)
0 1,517
257 📈
(Org: 477)
(1,503)
0.59 1,503
258 📉
(Org: 253)
(1,497)
0.04 1,497
259 📉
(Org: 251)
(1,495)
0.02 1,495
260 📉
(Org: 246)
(1,485)
- 1,485
261 📈
(Org: 526)
(1,479)
0.63 1,479
262 📉
(Org: 250)
(1,473)
0 1,473
263 📉
(Org: 252)
(1,450)
- 1,450
264 📉
(Org: 253)
(1,441)
- 1,441
265 📈
(Org: 273)
(1,438)
0.09 1,438
266 📉
(Org: 257)
(1,430)
0.01 1,430
267 📉
(Org: 266)
(1,418)
0.04 1,418
268 📉
(Org: 259)
(1,407)
0 1,407
269 📉
(Org: 262)
(1,401)
0.01 1,401
270 📈
(Org: 304)
(1,386)
0.2 1,386
271 📈
(Org: 439)
(1,374)
0.49 1,374
272 📈
(Org: 286)
(1,372)
0.12 1,372
273 📈
(Org: 443)
(1,370)
0.5 1,370
274 📈
(Org: 287)
(1,368)
0.13 1,368
275 📉
(Org: 264)
(1,366)
- 1,366
276 📉
(Org: 268)
(1,352)
0.01 1,352
277 📈
(Org: 381)
(1,351)
0.39 1,351
278 📉
(Org: 269)
(1,348)
0 1,348
279 📈
(Org: 302)
(1,347)
0.16 1,347
280 📉
(Org: 271)
(1,333)
0.01 1,333
281 📉
(Org: 275)
(1,319)
0.01 1,319
282 📉
(Org: 272)
(1,318)
- 1,318
283 📉
(Org: 274)
(1,304)
- 1,304
284 📉
(Org: 279)
(1,288)
0.01 1,288
285 📉
(Org: 278)
(1,282)
- 1,282
286 📉
(Org: 281)
(1,280)
0.02 1,280
287 📈
(Org: 296)
(1,277)
0.09 1,277
288 📉
(Org: 283)
(1,240)
0 1,240
289 📉
(Org: 284)
(1,228)
0.01 1,228
290 📈
(Org: 364)
(1,220)
0.28 1,220
291 📈
(Org: 297)
(1,214)
0.04 1,214
292 📈
(Org: 544)
(1,206)
0.57 1,206
293 📈
(Org: 303)
(1,197)
0.06 1,197
294 📈
(Org: 330)
(1,192)
0.15 1,192
295 📈
(Org: 475)
(1,191)
0.48 1,191
296 📉
(Org: 294)
(1,188)
0.01 1,188
297 📉
(Org: 290)
(1,181)
- 1,181
298 ➡️
(Org: 298)
(1,147)
- 1,147
299 📈
(Org: 314)
(1,129)
0.05 1,129
300 📈
(Org: 319)
(1,123)
0.07 1,123