201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2012 - 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: 268)
(1,883)
0.3 1,883
201 📈
(Org: 289)
(1,883)
0.35 1,883
203 📈
(Org: 204)
(1,880)
0.01 1,880
204 📈
(Org: 205)
(1,859)
- 1,859
205 📈
(Org: 208)
(1,856)
0.02 1,856
206 ➡️
(Org: 206)
(1,844)
- 1,844
207 📈
(Org: 210)
(1,823)
0.02 1,823
208 📈
(Org: 209)
(1,815)
- 1,815
209 📈
(Org: 248)
(1,810)
0.19 1,810
210 📈
(Org: 293)
(1,806)
0.33 1,806
211 📈
(Org: 214)
(1,795)
0.03 1,795
212 📉
(Org: 211)
(1,775)
- 1,775
213 📈
(Org: 235)
(1,772)
0.13 1,772
214 📈
(Org: 287)
(1,771)
0.31 1,771
215 📈
(Org: 350)
(1,768)
0.5 1,768
216 📉
(Org: 212)
(1,758)
- 1,758
217 📈
(Org: 219)
(1,721)
0.04 1,721
218 📉
(Org: 215)
(1,715)
- 1,715
219 📈
(Org: 220)
(1,695)
0.03 1,695
220 📈
(Org: 288)
(1,657)
0.26 1,657
220 📈
(Org: 233)
(1,657)
0.07 1,657
222 📈
(Org: 299)
(1,654)
0.3 1,654
223 📈
(Org: 474)
(1,645)
0.65 1,645
224 📈
(Org: 253)
(1,625)
0.11 1,625
225 📈
(Org: 244)
(1,607)
0.08 1,607
226 ➡️
(Org: 226)
(1,590)
0.01 1,590
227 📉
(Org: 226)
(1,581)
0.01 1,581
228 📈
(Org: 230)
(1,579)
0.02 1,579
229 ➡️
(Org: 229)
(1,577)
0.01 1,577
230 📈
(Org: 234)
(1,551)
0.01 1,551
231 ➡️
(Org: 231)
(1,545)
- 1,545
232 📈
(Org: 237)
(1,543)
0.02 1,543
233 📈
(Org: 351)
(1,533)
0.43 1,533
234 📈
(Org: 237)
(1,528)
0.01 1,528
235 📈
(Org: 441)
(1,517)
0.59 1,517
236 📈
(Org: 239)
(1,512)
- 1,512
237 📈
(Org: 266)
(1,502)
0.12 1,502
238 📈
(Org: 242)
(1,501)
0 1,501
239 📈
(Org: 369)
(1,496)
0.45 1,496
240 📈
(Org: 256)
(1,488)
0.04 1,488
241 📈
(Org: 243)
(1,482)
- 1,482
241 📈
(Org: 252)
(1,482)
0.02 1,482
243 📈
(Org: 261)
(1,468)
0.07 1,468
244 📈
(Org: 249)
(1,464)
- 1,464
245 📈
(Org: 250)
(1,463)
- 1,463
246 📈
(Org: 251)
(1,461)
- 1,461
247 📈
(Org: 255)
(1,454)
0.01 1,454
248 📈
(Org: 254)
(1,445)
- 1,445
249 📈
(Org: 310)
(1,436)
0.26 1,436
249 📈
(Org: 284)
(1,436)
0.14 1,436
251 📈
(Org: 260)
(1,417)
0.03 1,417
252 📈
(Org: 272)
(1,404)
0.07 1,404
253 📈
(Org: 259)
(1,398)
0 1,398
254 📈
(Org: 275)
(1,394)
0.09 1,394
254 📈
(Org: 265)
(1,394)
0.03 1,394
256 📈
(Org: 264)
(1,393)
0.03 1,393
257 📈
(Org: 263)
(1,372)
0.01 1,372
258 📈
(Org: 281)
(1,368)
0.09 1,368
259 📈
(Org: 270)
(1,332)
0.02 1,332
260 📈
(Org: 267)
(1,330)
0 1,330
261 📈
(Org: 318)
(1,324)
0.24 1,324
262 📈
(Org: 269)
(1,317)
- 1,317
263 📈
(Org: 271)
(1,311)
0 1,311
264 📈
(Org: 341)
(1,309)
0.31 1,309
265 📈
(Org: 278)
(1,302)
0.04 1,302
266 📈
(Org: 291)
(1,279)
0.05 1,279
267 📈
(Org: 294)
(1,275)
0.06 1,275
268 📈
(Org: 274)
(1,273)
- 1,273
269 📈
(Org: 284)
(1,260)
0.02 1,260
270 📈
(Org: 565)
(1,255)
0.64 1,255
271 📈
(Org: 280)
(1,254)
0 1,254
272 📈
(Org: 305)
(1,252)
0.1 1,252
273 📈
(Org: 279)
(1,251)
- 1,251
274 📈
(Org: 298)
(1,247)
0.07 1,247
275 📈
(Org: 286)
(1,244)
0.01 1,244
276 📈
(Org: 283)
(1,243)
0 1,243
277 📈
(Org: 282)
(1,239)
- 1,239
278 📈
(Org: 312)
(1,224)
0.14 1,224
279 📈
(Org: 329)
(1,210)
0.21 1,210
280 📈
(Org: 297)
(1,190)
0.02 1,190
281 📈
(Org: 547)
(1,178)
0.6 1,178
282 📈
(Org: 296)
(1,177)
- 1,177
283 📈
(Org: 308)
(1,173)
0.08 1,173
284 📈
(Org: 343)
(1,155)
0.22 1,155
285 📈
(Org: 300)
(1,151)
- 1,151
286 📈
(Org: 335)
(1,150)
0.18 1,150
287 📈
(Org: 301)
(1,149)
- 1,149
288 📈
(Org: 302)
(1,148)
0.01 1,148
289 📈
(Org: 306)
(1,108)
0.01 1,108
290 📈
(Org: 311)
(1,102)
0.03 1,102
291 📈
(Org: 307)
(1,089)
- 1,089
292 📈
(Org: 346)
(1,078)
0.17 1,078
293 📈
(Org: 309)
(1,074)
- 1,074
294 📈
(Org: 314)
(1,073)
0.03 1,073
295 📈
(Org: 330)
(1,063)
0.1 1,063
296 📈
(Org: 325)
(1,056)
0.08 1,056
297 📈
(Org: 316)
(1,054)
0.02 1,054
298 📈
(Org: 315)
(1,049)
0.01 1,049
299 📈
(Org: 345)
(1,041)
0.14 1,041
300 📈
(Org: 523)
(1,037)
0.52 1,037