201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2014 - 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)
(2,007)
- 2,007
202 📈
(Org: 206)
(1,992)
0.06 1,992
203 📈
(Org: 273)
(1,966)
0.32 1,966
204 ➡️
(Org: 204)
(1,928)
0 1,928
205 📈
(Org: 266)
(1,915)
0.28 1,915
206 📈
(Org: 207)
(1,865)
- 1,865
207 📈
(Org: 209)
(1,848)
- 1,848
208 📈
(Org: 225)
(1,828)
0.07 1,828
209 📈
(Org: 296)
(1,819)
0.34 1,819
210 📈
(Org: 213)
(1,809)
- 1,809
211 📈
(Org: 214)
(1,807)
- 1,807
212 📈
(Org: 215)
(1,791)
- 1,791
213 📈
(Org: 218)
(1,771)
0.01 1,771
214 📈
(Org: 237)
(1,770)
0.12 1,770
215 📈
(Org: 217)
(1,765)
- 1,765
216 📈
(Org: 221)
(1,762)
0.03 1,762
217 📈
(Org: 428)
(1,752)
0.59 1,752
218 📈
(Org: 220)
(1,743)
- 1,743
219 📈
(Org: 254)
(1,720)
0.14 1,720
220 📈
(Org: 389)
(1,716)
0.53 1,716
221 ➡️
(Org: 221)
(1,711)
- 1,711
222 📈
(Org: 293)
(1,703)
0.29 1,703
223 📈
(Org: 234)
(1,701)
0.07 1,701
224 📈
(Org: 242)
(1,696)
0.09 1,696
225 📈
(Org: 361)
(1,694)
0.48 1,694
226 📈
(Org: 317)
(1,646)
0.33 1,646
227 ➡️
(Org: 227)
(1,642)
- 1,642
228 📈
(Org: 252)
(1,633)
0.09 1,633
229 📈
(Org: 231)
(1,631)
0.01 1,631
230 📈
(Org: 504)
(1,614)
0.65 1,614
231 📈
(Org: 232)
(1,608)
0 1,608
232 📈
(Org: 243)
(1,597)
0.04 1,597
233 📈
(Org: 244)
(1,566)
0.02 1,566
234 📈
(Org: 239)
(1,556)
0 1,556
235 📈
(Org: 245)
(1,551)
0.02 1,551
236 📈
(Org: 251)
(1,549)
0.03 1,549
237 📈
(Org: 240)
(1,547)
- 1,547
238 📈
(Org: 241)
(1,545)
- 1,545
239 📈
(Org: 247)
(1,534)
0.01 1,534
240 📈
(Org: 247)
(1,533)
0.01 1,533
241 📈
(Org: 484)
(1,527)
0.62 1,527
242 📈
(Org: 290)
(1,517)
0.19 1,517
243 📈
(Org: 250)
(1,506)
- 1,506
244 📈
(Org: 255)
(1,494)
0.01 1,494
245 📈
(Org: 253)
(1,491)
- 1,491
246 📈
(Org: 256)
(1,483)
0.01 1,483
247 📈
(Org: 259)
(1,476)
0.03 1,476
248 📈
(Org: 271)
(1,450)
0.06 1,450
249 📈
(Org: 288)
(1,439)
0.14 1,439
250 📈
(Org: 335)
(1,437)
0.3 1,437
251 📈
(Org: 289)
(1,436)
0.14 1,436
252 📈
(Org: 260)
(1,432)
- 1,432
253 📈
(Org: 262)
(1,431)
- 1,431
254 📈
(Org: 384)
(1,413)
0.43 1,413
255 📈
(Org: 263)
(1,410)
- 1,410
256 📈
(Org: 264)
(1,404)
- 1,404
257 📈
(Org: 277)
(1,394)
0.07 1,394
258 📈
(Org: 351)
(1,393)
0.34 1,393
259 📈
(Org: 266)
(1,392)
0.01 1,392
260 📈
(Org: 265)
(1,382)
- 1,382
261 📈
(Org: 268)
(1,376)
0.01 1,376
262 📈
(Org: 274)
(1,373)
0.03 1,373
263 📈
(Org: 478)
(1,370)
0.57 1,370
264 📈
(Org: 268)
(1,368)
- 1,368
265 📈
(Org: 270)
(1,366)
- 1,366
266 📈
(Org: 284)
(1,358)
0.06 1,358
266 📈
(Org: 283)
(1,358)
0.06 1,358
268 📈
(Org: 275)
(1,327)
- 1,327
269 📈
(Org: 282)
(1,309)
0.02 1,309
270 📈
(Org: 281)
(1,299)
0.01 1,299
271 📈
(Org: 279)
(1,296)
0.01 1,296
272 📈
(Org: 286)
(1,284)
0.03 1,284
273 📈
(Org: 454)
(1,283)
0.49 1,283
274 📈
(Org: 280)
(1,282)
- 1,282
275 📈
(Org: 300)
(1,280)
0.07 1,280
276 📈
(Org: 285)
(1,274)
0 1,274
277 📈
(Org: 297)
(1,251)
0.05 1,251
278 📈
(Org: 287)
(1,243)
- 1,243
279 📈
(Org: 291)
(1,228)
0.01 1,228
280 📈
(Org: 308)
(1,226)
0.08 1,226
281 📈
(Org: 299)
(1,221)
0.03 1,221
282 📈
(Org: 292)
(1,218)
0 1,218
283 📈
(Org: 342)
(1,203)
0.19 1,203
284 📈
(Org: 298)
(1,198)
0.01 1,198
285 📈
(Org: 311)
(1,191)
0.06 1,191
286 📈
(Org: 358)
(1,190)
0.25 1,190
287 📈
(Org: 301)
(1,182)
- 1,182
288 📈
(Org: 302)
(1,180)
- 1,180
289 📈
(Org: 303)
(1,175)
- 1,175
290 📈
(Org: 306)
(1,174)
0.02 1,174
291 📈
(Org: 304)
(1,170)
0.01 1,170
292 📈
(Org: 332)
(1,163)
0.12 1,163
293 📈
(Org: 479)
(1,161)
0.49 1,161
294 📈
(Org: 305)
(1,159)
- 1,159
295 📈
(Org: 344)
(1,158)
0.17 1,158
296 📈
(Org: 319)
(1,153)
0.06 1,153
297 📈
(Org: 316)
(1,145)
0.03 1,145
298 📈
(Org: 307)
(1,144)
- 1,144
299 📈
(Org: 312)
(1,136)
0.02 1,136
299 📈
(Org: 308)
(1,136)
0.01 1,136