201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2017 - 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: 200)
(1,969)
- 1,969
202 📉
(Org: 201)
(1,964)
- 1,964
203 📈
(Org: 204)
(1,942)
0 1,942
204 📈
(Org: 213)
(1,937)
0.07 1,937
204 📈
(Org: 222)
(1,937)
0.11 1,937
206 📉
(Org: 205)
(1,936)
0 1,936
207 📈
(Org: 248)
(1,935)
0.22 1,935
208 📈
(Org: 299)
(1,931)
0.39 1,931
209 📉
(Org: 207)
(1,909)
- 1,909
210 📈
(Org: 217)
(1,895)
0.07 1,895
211 📈
(Org: 258)
(1,894)
0.25 1,894
211 📉
(Org: 208)
(1,894)
0.01 1,894
213 📈
(Org: 282)
(1,869)
0.31 1,869
214 📉
(Org: 211)
(1,852)
0.01 1,852
215 📈
(Org: 224)
(1,815)
0.06 1,815
216 📈
(Org: 235)
(1,799)
0.11 1,799
217 📉
(Org: 214)
(1,792)
- 1,792
218 📈
(Org: 279)
(1,784)
0.27 1,784
219 📉
(Org: 218)
(1,773)
0 1,773
220 📈
(Org: 354)
(1,764)
0.46 1,764
221 📉
(Org: 219)
(1,755)
- 1,755
222 📈
(Org: 230)
(1,737)
0.05 1,737
223 📉
(Org: 221)
(1,734)
- 1,734
224 📈
(Org: 297)
(1,727)
0.31 1,727
225 📈
(Org: 233)
(1,722)
0.05 1,722
226 📈
(Org: 227)
(1,719)
0.02 1,719
227 📈
(Org: 278)
(1,714)
0.24 1,714
228 📉
(Org: 225)
(1,702)
0 1,702
229 📉
(Org: 226)
(1,689)
- 1,689
230 📈
(Org: 252)
(1,669)
0.12 1,669
231 📈
(Org: 234)
(1,652)
0.02 1,652
232 ➡️
(Org: 232)
(1,648)
0 1,648
233 📉
(Org: 231)
(1,644)
- 1,644
234 📈
(Org: 456)
(1,621)
0.59 1,621
235 📈
(Org: 267)
(1,617)
0.17 1,617
236 📈
(Org: 300)
(1,616)
0.27 1,616
237 📈
(Org: 243)
(1,615)
0.06 1,615
238 📈
(Org: 250)
(1,614)
0.07 1,614
239 📈
(Org: 415)
(1,587)
0.53 1,587
240 📈
(Org: 426)
(1,561)
0.53 1,561
241 📉
(Org: 238)
(1,552)
- 1,552
242 📈
(Org: 277)
(1,549)
0.16 1,549
243 📈
(Org: 245)
(1,548)
0.02 1,548
243 📉
(Org: 240)
(1,548)
0.01 1,548
245 📈
(Org: 246)
(1,541)
0.02 1,541
246 📉
(Org: 242)
(1,536)
0 1,536
247 📉
(Org: 244)
(1,525)
0.01 1,525
248 📈
(Org: 309)
(1,513)
0.26 1,513
249 📉
(Org: 247)
(1,512)
- 1,512
249 ➡️
(Org: 249)
(1,512)
0.01 1,512
251 📈
(Org: 342)
(1,510)
0.34 1,510
252 📈
(Org: 324)
(1,492)
0.29 1,492
253 ➡️
(Org: 253)
(1,485)
0.01 1,485
254 📈
(Org: 270)
(1,484)
0.1 1,484
255 📈
(Org: 314)
(1,479)
0.26 1,479
256 📈
(Org: 477)
(1,478)
0.58 1,478
257 📉
(Org: 255)
(1,476)
0.01 1,476
258 📉
(Org: 254)
(1,462)
- 1,462
259 📈
(Org: 412)
(1,453)
0.48 1,453
260 📉
(Org: 257)
(1,429)
- 1,429
261 ➡️
(Org: 261)
(1,416)
0.01 1,416
262 📉
(Org: 259)
(1,414)
0.01 1,414
263 📉
(Org: 260)
(1,401)
- 1,401
264 📉
(Org: 263)
(1,397)
0.01 1,397
265 📈
(Org: 275)
(1,389)
0.05 1,389
266 📉
(Org: 264)
(1,372)
- 1,372
267 📉
(Org: 265)
(1,366)
- 1,366
268 ➡️
(Org: 268)
(1,361)
0.01 1,361
269 📈
(Org: 312)
(1,359)
0.19 1,359
270 📈
(Org: 400)
(1,353)
0.41 1,353
271 📉
(Org: 269)
(1,343)
- 1,343
272 📈
(Org: 290)
(1,333)
0.08 1,333
273 📈
(Org: 285)
(1,332)
0.05 1,332
274 📉
(Org: 272)
(1,331)
- 1,331
274 📈
(Org: 276)
(1,331)
0.01 1,331
276 📉
(Org: 274)
(1,327)
- 1,327
277 📈
(Org: 282)
(1,315)
0.03 1,315
278 📈
(Org: 340)
(1,306)
0.24 1,306
279 📈
(Org: 301)
(1,303)
0.1 1,303
280 📈
(Org: 325)
(1,294)
0.19 1,294
281 📉
(Org: 280)
(1,286)
- 1,286
282 📉
(Org: 281)
(1,284)
- 1,284
283 📈
(Org: 453)
(1,277)
0.47 1,277
284 📈
(Org: 433)
(1,276)
0.44 1,276
284 📈
(Org: 319)
(1,276)
0.16 1,276
286 📈
(Org: 287)
(1,264)
- 1,264
287 📈
(Org: 298)
(1,249)
0.05 1,249
288 📈
(Org: 322)
(1,244)
0.15 1,244
289 ➡️
(Org: 289)
(1,238)
- 1,238
290 📈
(Org: 291)
(1,229)
- 1,229
291 📈
(Org: 295)
(1,226)
0.02 1,226
292 ➡️
(Org: 292)
(1,215)
0 1,215
293 📈
(Org: 294)
(1,212)
0.01 1,212
294 📈
(Org: 296)
(1,209)
0.01 1,209
295 📉
(Org: 293)
(1,208)
- 1,208
296 📈
(Org: 347)
(1,199)
0.19 1,199
297 📈
(Org: 302)
(1,178)
0.01 1,178
297 📈
(Org: 336)
(1,178)
0.14 1,178
299 📈
(Org: 467)
(1,167)
0.44 1,167
299 📈
(Org: 302)
(1,167)
- 1,167