201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2015 - 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)
(2,001)
0.03 2,001
202 📈
(Org: 270)
(1,946)
0.31 1,946
202 📈
(Org: 205)
(1,946)
0 1,946
204 📈
(Org: 207)
(1,941)
0.01 1,941
205 📈
(Org: 227)
(1,940)
0.13 1,940
206 📈
(Org: 242)
(1,928)
0.2 1,928
207 📈
(Org: 214)
(1,880)
0.01 1,880
208 📈
(Org: 216)
(1,850)
0 1,850
208 📈
(Org: 218)
(1,850)
0.02 1,850
210 📈
(Org: 217)
(1,842)
0 1,842
211 📈
(Org: 297)
(1,832)
0.34 1,832
212 📈
(Org: 274)
(1,826)
0.26 1,826
213 📈
(Org: 219)
(1,816)
- 1,816
214 📈
(Org: 222)
(1,814)
0.03 1,814
215 📈
(Org: 458)
(1,811)
0.63 1,811
216 📈
(Org: 231)
(1,803)
0.07 1,803
217 📈
(Org: 293)
(1,799)
0.32 1,799
218 📈
(Org: 220)
(1,796)
0.01 1,796
219 📈
(Org: 364)
(1,789)
0.5 1,789
220 📈
(Org: 261)
(1,775)
0.22 1,775
221 📈
(Org: 240)
(1,769)
0.11 1,769
222 📈
(Org: 451)
(1,756)
0.62 1,756
223 📈
(Org: 224)
(1,715)
- 1,715
224 📈
(Org: 225)
(1,707)
- 1,707
225 📈
(Org: 226)
(1,702)
- 1,702
226 📈
(Org: 290)
(1,699)
0.26 1,699
227 📈
(Org: 230)
(1,695)
0.01 1,695
228 📈
(Org: 236)
(1,681)
0.04 1,681
229 📉
(Org: 228)
(1,677)
- 1,677
229 📈
(Org: 264)
(1,677)
0.18 1,677
229 📉
(Org: 228)
(1,677)
- 1,677
232 📈
(Org: 235)
(1,659)
0.01 1,659
233 ➡️
(Org: 233)
(1,657)
0 1,657
234 ➡️
(Org: 234)
(1,650)
- 1,650
235 📈
(Org: 238)
(1,612)
0.01 1,612
236 📈
(Org: 248)
(1,603)
0.08 1,603
237 📈
(Org: 333)
(1,593)
0.35 1,593
238 📈
(Org: 408)
(1,577)
0.52 1,577
239 📈
(Org: 269)
(1,556)
0.13 1,556
240 📈
(Org: 241)
(1,555)
- 1,555
241 📈
(Org: 343)
(1,534)
0.35 1,534
242 📈
(Org: 243)
(1,521)
0 1,521
243 ➡️
(Org: 243)
(1,516)
- 1,516
244 📈
(Org: 247)
(1,497)
0.01 1,497
245 📈
(Org: 284)
(1,494)
0.13 1,494
245 📈
(Org: 260)
(1,494)
0.07 1,494
247 📈
(Org: 250)
(1,488)
0.02 1,488
248 📈
(Org: 296)
(1,470)
0.18 1,470
249 📈
(Org: 428)
(1,465)
0.51 1,465
250 📈
(Org: 251)
(1,448)
- 1,448
251 📈
(Org: 252)
(1,446)
0.01 1,446
252 📈
(Org: 267)
(1,444)
0.05 1,444
253 📈
(Org: 258)
(1,442)
0.03 1,442
254 📈
(Org: 512)
(1,438)
0.61 1,438
255 📈
(Org: 326)
(1,426)
0.26 1,426
256 📉
(Org: 255)
(1,420)
- 1,420
257 📈
(Org: 280)
(1,407)
0.06 1,407
258 📉
(Org: 257)
(1,404)
- 1,404
259 📈
(Org: 282)
(1,398)
0.07 1,398
260 📈
(Org: 263)
(1,394)
0.01 1,394
261 📉
(Org: 259)
(1,386)
- 1,386
262 📈
(Org: 275)
(1,377)
0.02 1,377
263 📈
(Org: 288)
(1,373)
0.06 1,373
264 📈
(Org: 413)
(1,363)
0.45 1,363
265 📈
(Org: 273)
(1,356)
0.01 1,356
265 📈
(Org: 277)
(1,356)
0.01 1,356
267 📈
(Org: 276)
(1,353)
0.01 1,353
268 📈
(Org: 270)
(1,350)
- 1,350
269 📈
(Org: 272)
(1,348)
- 1,348
270 📈
(Org: 324)
(1,338)
0.2 1,338
271 📈
(Org: 360)
(1,333)
0.32 1,333
272 📈
(Org: 279)
(1,326)
- 1,326
273 📈
(Org: 295)
(1,320)
0.08 1,320
274 📈
(Org: 336)
(1,317)
0.23 1,317
275 📈
(Org: 281)
(1,314)
0.01 1,314
276 📈
(Org: 287)
(1,311)
0.02 1,311
277 📈
(Org: 307)
(1,307)
0.11 1,307
278 📈
(Org: 283)
(1,297)
- 1,297
279 📈
(Org: 284)
(1,293)
- 1,293
280 📈
(Org: 292)
(1,275)
0.02 1,275
280 📈
(Org: 289)
(1,275)
- 1,275
282 📈
(Org: 464)
(1,274)
0.49 1,274
283 📈
(Org: 349)
(1,269)
0.23 1,269
284 📈
(Org: 291)
(1,263)
0.01 1,263
285 📈
(Org: 310)
(1,255)
0.08 1,255
286 📈
(Org: 302)
(1,236)
0.03 1,236
287 📈
(Org: 305)
(1,234)
0.04 1,234
288 📈
(Org: 299)
(1,228)
0.02 1,228
289 📈
(Org: 471)
(1,226)
0.48 1,226
290 📈
(Org: 300)
(1,213)
0.01 1,213
291 📈
(Org: 370)
(1,210)
0.28 1,210
292 📈
(Org: 304)
(1,208)
0.01 1,208
292 📈
(Org: 298)
(1,208)
- 1,208
294 📈
(Org: 303)
(1,205)
0.01 1,205
295 📈
(Org: 300)
(1,203)
- 1,203
296 📈
(Org: 329)
(1,197)
0.12 1,197
297 📈
(Org: 306)
(1,191)
0 1,191
297 📈
(Org: 334)
(1,191)
0.13 1,191
299 📈
(Org: 320)
(1,186)
0.08 1,186
300 📈
(Org: 313)
(1,182)
0.03 1,182