201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2013 - 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: 208)
(1,976)
0.07 1,976
202 📈
(Org: 256)
(1,963)
0.28 1,963
203 📉
(Org: 200)
(1,932)
- 1,932
204 📉
(Org: 202)
(1,896)
- 1,896
205 📉
(Org: 204)
(1,888)
0 1,888
206 📉
(Org: 203)
(1,883)
- 1,883
207 📈
(Org: 222)
(1,881)
0.1 1,881
208 📉
(Org: 206)
(1,862)
0 1,862
209 📉
(Org: 208)
(1,854)
0 1,854
210 📈
(Org: 228)
(1,800)
0.1 1,800
211 📈
(Org: 212)
(1,798)
- 1,798
212 📈
(Org: 291)
(1,786)
0.33 1,786
213 📈
(Org: 362)
(1,777)
0.51 1,777
214 📈
(Org: 236)
(1,759)
0.13 1,759
215 📈
(Org: 304)
(1,731)
0.33 1,731
215 📈
(Org: 272)
(1,731)
0.25 1,731
217 📈
(Org: 219)
(1,725)
0.01 1,725
218 📈
(Org: 233)
(1,709)
0.08 1,709
219 📈
(Org: 221)
(1,691)
- 1,691
220 📈
(Org: 306)
(1,685)
0.33 1,685
221 📈
(Org: 225)
(1,684)
0.04 1,684
221 📈
(Org: 223)
(1,684)
- 1,684
223 📈
(Org: 287)
(1,664)
0.27 1,664
224 📈
(Org: 228)
(1,638)
0.01 1,638
224 📈
(Org: 245)
(1,638)
0.1 1,638
226 📈
(Org: 227)
(1,617)
- 1,617
227 📈
(Org: 235)
(1,601)
0.04 1,601
228 📈
(Org: 231)
(1,596)
- 1,596
229 📈
(Org: 232)
(1,585)
- 1,585
230 📈
(Org: 375)
(1,576)
0.49 1,576
231 📈
(Org: 446)
(1,569)
0.59 1,569
231 📈
(Org: 309)
(1,569)
0.29 1,569
233 📈
(Org: 240)
(1,553)
0.03 1,553
234 📈
(Org: 237)
(1,545)
0.02 1,545
235 📈
(Org: 358)
(1,542)
0.43 1,542
236 📈
(Org: 490)
(1,539)
0.64 1,539
237 📈
(Org: 250)
(1,531)
0.05 1,531
238 📈
(Org: 279)
(1,517)
0.18 1,517
238 ➡️
(Org: 238)
(1,517)
- 1,517
240 📈
(Org: 257)
(1,500)
0.07 1,500
241 📈
(Org: 258)
(1,496)
0.07 1,496
242 📈
(Org: 247)
(1,483)
0.01 1,483
243 📈
(Org: 246)
(1,472)
- 1,472
244 📈
(Org: 248)
(1,471)
0.01 1,471
245 📈
(Org: 251)
(1,464)
0.01 1,464
246 📈
(Org: 276)
(1,461)
0.13 1,461
247 📈
(Org: 253)
(1,454)
0.02 1,454
248 📈
(Org: 267)
(1,451)
0.08 1,451
249 📈
(Org: 254)
(1,429)
- 1,429
250 📈
(Org: 255)
(1,427)
- 1,427
251 📈
(Org: 270)
(1,390)
0.06 1,390
252 📈
(Org: 261)
(1,378)
0.01 1,378
253 📈
(Org: 264)
(1,370)
0.02 1,370
254 📈
(Org: 566)
(1,358)
0.66 1,358
255 📈
(Org: 262)
(1,356)
- 1,356
256 📈
(Org: 263)
(1,355)
0 1,355
257 📈
(Org: 269)
(1,354)
0.02 1,354
258 📈
(Org: 264)
(1,346)
- 1,346
259 📈
(Org: 281)
(1,344)
0.08 1,344
260 📈
(Org: 285)
(1,340)
0.09 1,340
261 📈
(Org: 266)
(1,339)
- 1,339
262 📈
(Org: 268)
(1,322)
- 1,322
263 📈
(Org: 274)
(1,292)
0 1,292
264 📈
(Org: 280)
(1,281)
0.03 1,281
265 📈
(Org: 277)
(1,262)
0 1,262
266 📈
(Org: 282)
(1,252)
0.01 1,252
267 📈
(Org: 315)
(1,250)
0.14 1,250
268 📈
(Org: 284)
(1,248)
0.02 1,248
269 📈
(Org: 290)
(1,241)
0.03 1,241
270 📈
(Org: 486)
(1,226)
0.54 1,226
271 📈
(Org: 289)
(1,211)
0 1,211
272 📈
(Org: 286)
(1,210)
- 1,210
273 📈
(Org: 305)
(1,209)
0.05 1,209
274 📈
(Org: 287)
(1,208)
- 1,208
275 📈
(Org: 293)
(1,204)
0.01 1,204
276 📈
(Org: 295)
(1,203)
0.01 1,203
277 📈
(Org: 292)
(1,197)
- 1,197
278 📈
(Org: 544)
(1,196)
0.59 1,196
279 📈
(Org: 294)
(1,193)
- 1,193
279 📈
(Org: 298)
(1,193)
0.01 1,193
281 📈
(Org: 297)
(1,191)
0.01 1,191
282 📈
(Org: 296)
(1,188)
0.01 1,188
283 📈
(Org: 335)
(1,185)
0.19 1,185
284 📈
(Org: 298)
(1,179)
- 1,179
285 📈
(Org: 312)
(1,178)
0.07 1,178
285 📈
(Org: 313)
(1,178)
0.07 1,178
287 📈
(Org: 302)
(1,172)
0.01 1,172
288 📈
(Org: 318)
(1,169)
0.1 1,169
289 📈
(Org: 301)
(1,167)
- 1,167
289 📈
(Org: 303)
(1,167)
0.01 1,167
291 📈
(Org: 355)
(1,160)
0.23 1,160
292 📈
(Org: 325)
(1,158)
0.12 1,158
293 📈
(Org: 308)
(1,147)
0.02 1,147
294 📈
(Org: 316)
(1,146)
0.07 1,146
295 📈
(Org: 400)
(1,144)
0.35 1,144
296 📈
(Org: 310)
(1,132)
0.02 1,132
297 📈
(Org: 345)
(1,131)
0.18 1,131
298 📈
(Org: 333)
(1,108)
0.12 1,108
299 📈
(Org: 314)
(1,100)
0.01 1,100
300 📈
(Org: 317)
(1,090)
0.04 1,090