201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2004 - 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)
(1,795)
- 1,795
202 📈
(Org: 215)
(1,790)
0.09 1,790
203 📈
(Org: 213)
(1,772)
0.07 1,772
204 📈
(Org: 206)
(1,770)
0 1,770
205 📈
(Org: 208)
(1,764)
0.01 1,764
206 📈
(Org: 209)
(1,729)
- 1,729
207 📈
(Org: 222)
(1,725)
0.09 1,725
208 📈
(Org: 219)
(1,721)
0.07 1,721
209 📈
(Org: 278)
(1,714)
0.33 1,714
210 📈
(Org: 216)
(1,683)
0.04 1,683
211 📈
(Org: 261)
(1,671)
0.24 1,671
212 ➡️
(Org: 212)
(1,667)
- 1,667
213 📈
(Org: 214)
(1,661)
0.01 1,661
214 📈
(Org: 220)
(1,637)
0.03 1,637
215 📈
(Org: 389)
(1,630)
0.57 1,630
216 📈
(Org: 223)
(1,615)
0.04 1,615
217 📈
(Org: 272)
(1,611)
0.26 1,611
218 📈
(Org: 299)
(1,553)
0.31 1,553
219 📈
(Org: 237)
(1,542)
0.09 1,542
220 📈
(Org: 225)
(1,523)
- 1,523
221 📈
(Org: 248)
(1,517)
0.13 1,517
221 📈
(Org: 226)
(1,517)
- 1,517
223 📈
(Org: 227)
(1,509)
0 1,509
224 📈
(Org: 270)
(1,508)
0.2 1,508
225 📈
(Org: 233)
(1,500)
0.04 1,500
226 📈
(Org: 243)
(1,497)
0.08 1,497
227 📈
(Org: 228)
(1,491)
- 1,491
228 📈
(Org: 230)
(1,472)
0 1,472
229 📈
(Org: 245)
(1,467)
0.08 1,467
230 📈
(Org: 251)
(1,454)
0.09 1,454
231 📈
(Org: 232)
(1,450)
- 1,450
232 📈
(Org: 236)
(1,448)
0.02 1,448
233 📈
(Org: 235)
(1,422)
0 1,422
234 📈
(Org: 300)
(1,417)
0.25 1,417
235 📈
(Org: 241)
(1,409)
0.02 1,409
236 📈
(Org: 244)
(1,399)
0.02 1,399
237 📈
(Org: 238)
(1,397)
- 1,397
237 📈
(Org: 396)
(1,397)
0.52 1,397
239 📈
(Org: 242)
(1,392)
0.01 1,392
240 ➡️
(Org: 240)
(1,386)
- 1,386
241 📈
(Org: 284)
(1,364)
0.18 1,364
242 📈
(Org: 250)
(1,348)
0.02 1,348
243 📈
(Org: 330)
(1,343)
0.32 1,343
244 📈
(Org: 266)
(1,335)
0.08 1,335
245 📈
(Org: 246)
(1,333)
- 1,333
246 📈
(Org: 253)
(1,325)
0.01 1,325
247 📈
(Org: 252)
(1,321)
0 1,321
248 📈
(Org: 256)
(1,315)
0.02 1,315
249 📈
(Org: 255)
(1,301)
- 1,301
250 📈
(Org: 274)
(1,288)
0.09 1,288
251 📈
(Org: 280)
(1,286)
0.12 1,286
252 📈
(Org: 262)
(1,285)
0.01 1,285
253 📈
(Org: 258)
(1,282)
- 1,282
254 📈
(Org: 415)
(1,279)
0.51 1,279
255 📈
(Org: 320)
(1,254)
0.23 1,254
256 📈
(Org: 263)
(1,251)
- 1,251
257 📈
(Org: 305)
(1,246)
0.17 1,246
258 📈
(Org: 265)
(1,245)
0 1,245
259 📈
(Org: 269)
(1,238)
0.02 1,238
260 📈
(Org: 268)
(1,222)
- 1,222
261 📈
(Org: 271)
(1,209)
- 1,209
262 📈
(Org: 275)
(1,194)
0.03 1,194
262 📈
(Org: 273)
(1,194)
- 1,194
264 📈
(Org: 314)
(1,190)
0.17 1,190
265 📈
(Org: 308)
(1,174)
0.13 1,174
266 📈
(Org: 505)
(1,173)
0.59 1,173
267 📈
(Org: 277)
(1,169)
0.02 1,169
268 📈
(Org: 282)
(1,162)
0.03 1,162
269 📈
(Org: 302)
(1,157)
0.09 1,157
270 📈
(Org: 311)
(1,145)
0.12 1,145
271 📈
(Org: 285)
(1,142)
0.02 1,142
272 📈
(Org: 369)
(1,133)
0.34 1,133
273 📈
(Org: 283)
(1,124)
- 1,124
274 📈
(Org: 286)
(1,122)
0.01 1,122
275 📈
(Org: 293)
(1,117)
0.03 1,117
275 📈
(Org: 290)
(1,117)
0.01 1,117
275 📈
(Org: 322)
(1,117)
0.15 1,117
278 📈
(Org: 442)
(1,108)
0.47 1,108
279 📈
(Org: 287)
(1,107)
- 1,107
280 📈
(Org: 289)
(1,104)
- 1,104
281 📈
(Org: 305)
(1,100)
0.06 1,100
282 📈
(Org: 297)
(1,095)
0.02 1,095
283 📈
(Org: 292)
(1,089)
- 1,089
284 📈
(Org: 295)
(1,076)
- 1,076
285 📈
(Org: 304)
(1,067)
0.03 1,067
286 📈
(Org: 351)
(1,049)
0.23 1,049
287 📈
(Org: 303)
(1,047)
- 1,047
287 📈
(Org: 310)
(1,047)
0.03 1,047
289 📈
(Org: 315)
(1,032)
0.04 1,032
290 📈
(Org: 332)
(1,029)
0.12 1,029
291 📈
(Org: 340)
(1,023)
0.18 1,023
292 📈
(Org: 318)
(1,021)
0.05 1,021
293 📈
(Org: 309)
(1,014)
- 1,014
294 📈
(Org: 321)
(1,010)
0.05 1,010
295 📈
(Org: 313)
(1,005)
- 1,005
296 📈
(Org: 316)
(998)
0.02 998
297 📈
(Org: 358)
(990)
0.21 990
297 📈
(Org: 361)
(990)
0.22 990
299 📈
(Org: 393)
(986)
0.3 986
300 📈
(Org: 336)
(980)
0.09 980