201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2018 - 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: 201)
(2,022)
- 2,022
202 📈
(Org: 203)
(2,013)
0.01 2,013
203 📈
(Org: 214)
(2,012)
0.12 2,012
204 📈
(Org: 291)
(1,991)
0.39 1,991
205 📈
(Org: 355)
(1,977)
0.53 1,977
206 📉
(Org: 205)
(1,966)
- 1,966
207 📈
(Org: 258)
(1,964)
0.29 1,964
208 ➡️
(Org: 208)
(1,900)
- 1,900
208 ➡️
(Org: 208)
(1,900)
- 1,900
210 📈
(Org: 218)
(1,880)
0.08 1,880
211 📈
(Org: 281)
(1,872)
0.33 1,872
212 📈
(Org: 319)
(1,845)
0.43 1,845
213 ➡️
(Org: 213)
(1,841)
0.02 1,841
214 📉
(Org: 211)
(1,826)
- 1,826
215 📉
(Org: 212)
(1,819)
- 1,819
216 📈
(Org: 236)
(1,811)
0.1 1,811
217 📈
(Org: 275)
(1,795)
0.28 1,795
218 📈
(Org: 224)
(1,786)
0.06 1,786
219 ➡️
(Org: 219)
(1,776)
0.04 1,776
220 📈
(Org: 240)
(1,771)
0.1 1,771
221 📈
(Org: 287)
(1,766)
0.3 1,766
222 📉
(Org: 216)
(1,764)
0.02 1,764
223 📉
(Org: 215)
(1,741)
- 1,741
224 📉
(Org: 217)
(1,731)
- 1,731
225 📈
(Org: 252)
(1,718)
0.15 1,718
226 📉
(Org: 223)
(1,702)
0.01 1,702
227 📉
(Org: 221)
(1,694)
- 1,694
228 📈
(Org: 278)
(1,685)
0.25 1,685
228 📈
(Org: 243)
(1,685)
0.08 1,685
228 📈
(Org: 229)
(1,685)
0.02 1,685
231 📉
(Org: 225)
(1,678)
0 1,678
232 📉
(Org: 226)
(1,677)
0.01 1,677
233 📉
(Org: 228)
(1,674)
0.01 1,674
234 📈
(Org: 280)
(1,672)
0.25 1,672
235 📉
(Org: 230)
(1,665)
0.01 1,665
236 📈
(Org: 260)
(1,664)
0.17 1,664
236 📉
(Org: 232)
(1,664)
0.01 1,664
238 📉
(Org: 227)
(1,659)
- 1,659
239 📈
(Org: 301)
(1,648)
0.31 1,648
240 📈
(Org: 250)
(1,643)
0.11 1,643
241 📉
(Org: 234)
(1,634)
- 1,634
242 📉
(Org: 238)
(1,613)
0 1,613
243 📈
(Org: 381)
(1,601)
0.47 1,601
244 📉
(Org: 239)
(1,594)
- 1,594
245 📈
(Org: 254)
(1,586)
0.09 1,586
246 📈
(Org: 247)
(1,584)
0.06 1,584
247 📉
(Org: 241)
(1,582)
- 1,582
248 📉
(Org: 242)
(1,571)
- 1,571
249 📈
(Org: 305)
(1,550)
0.27 1,550
249 📉
(Org: 244)
(1,550)
- 1,550
251 📈
(Org: 312)
(1,549)
0.3 1,549
252 📉
(Org: 245)
(1,541)
- 1,541
253 📈
(Org: 340)
(1,530)
0.36 1,530
254 📈
(Org: 456)
(1,523)
0.57 1,523
255 📉
(Org: 248)
(1,517)
0.02 1,517
256 📈
(Org: 463)
(1,514)
0.59 1,514
257 📈
(Org: 436)
(1,494)
0.54 1,494
258 📉
(Org: 253)
(1,467)
0.01 1,467
259 📉
(Org: 255)
(1,446)
- 1,446
260 📉
(Org: 256)
(1,408)
- 1,408
261 ➡️
(Org: 261)
(1,389)
0 1,389
262 ➡️
(Org: 262)
(1,388)
0 1,388
263 ➡️
(Org: 263)
(1,387)
0.01 1,387
264 📈
(Org: 269)
(1,374)
0.04 1,374
264 📈
(Org: 303)
(1,374)
0.17 1,374
266 📈
(Org: 329)
(1,372)
0.26 1,372
267 ➡️
(Org: 267)
(1,370)
0.03 1,370
268 📈
(Org: 292)
(1,351)
0.11 1,351
269 📈
(Org: 270)
(1,344)
0.02 1,344
270 📈
(Org: 272)
(1,343)
0.03 1,343
270 📉
(Org: 266)
(1,343)
- 1,343
272 📈
(Org: 483)
(1,318)
0.54 1,318
273 📉
(Org: 271)
(1,313)
- 1,313
274 📈
(Org: 353)
(1,301)
0.28 1,301
275 📉
(Org: 273)
(1,294)
- 1,294
276 📉
(Org: 274)
(1,292)
- 1,292
277 📈
(Org: 304)
(1,281)
0.11 1,281
278 📈
(Org: 508)
(1,268)
0.56 1,268
279 📉
(Org: 277)
(1,267)
- 1,267
279 📈
(Org: 423)
(1,267)
0.43 1,267
281 📉
(Org: 279)
(1,261)
- 1,261
282 📈
(Org: 284)
(1,256)
0.01 1,256
282 📈
(Org: 328)
(1,256)
0.19 1,256
284 📈
(Org: 285)
(1,250)
0.01 1,250
285 📈
(Org: 286)
(1,230)
- 1,230
286 📈
(Org: 295)
(1,228)
0.04 1,228
287 📈
(Org: 289)
(1,218)
- 1,218
288 📈
(Org: 290)
(1,217)
- 1,217
288 📈
(Org: 466)
(1,217)
0.49 1,217
290 📈
(Org: 339)
(1,213)
0.18 1,213
291 📈
(Org: 446)
(1,207)
0.44 1,207
292 📈
(Org: 294)
(1,205)
0.01 1,205
293 📈
(Org: 296)
(1,200)
0.02 1,200
294 📉
(Org: 292)
(1,196)
- 1,196
295 📈
(Org: 297)
(1,186)
0.01 1,186
296 📈
(Org: 309)
(1,168)
0.06 1,168
297 📈
(Org: 299)
(1,164)
- 1,164
298 📈
(Org: 300)
(1,161)
0.01 1,161
299 📈
(Org: 326)
(1,158)
0.12 1,158
300 📈
(Org: 310)
(1,145)
0.05 1,145