201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2000 - 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: 195)
(1,815)
0.01 1,815
202 📈
(Org: 214)
(1,809)
0.07 1,809
203 📉
(Org: 197)
(1,796)
- 1,796
204 📉
(Org: 201)
(1,757)
- 1,757
205 📉
(Org: 203)
(1,756)
0 1,756
206 📈
(Org: 211)
(1,751)
0.03 1,751
207 📈
(Org: 212)
(1,731)
0.02 1,731
208 ➡️
(Org: 208)
(1,716)
0 1,716
209 ➡️
(Org: 209)
(1,708)
- 1,708
210 ➡️
(Org: 210)
(1,704)
- 1,704
211 📈
(Org: 246)
(1,644)
0.17 1,644
212 📈
(Org: 227)
(1,638)
0.09 1,638
213 📈
(Org: 217)
(1,609)
- 1,609
214 📈
(Org: 259)
(1,580)
0.18 1,580
215 📈
(Org: 276)
(1,579)
0.27 1,579
216 📈
(Org: 235)
(1,559)
0.06 1,559
217 📈
(Org: 221)
(1,553)
0.01 1,553
218 📈
(Org: 222)
(1,533)
0.01 1,533
219 📈
(Org: 223)
(1,530)
0.01 1,530
219 📈
(Org: 244)
(1,530)
0.1 1,530
221 📈
(Org: 285)
(1,523)
0.29 1,523
222 📈
(Org: 224)
(1,522)
0.01 1,522
223 📈
(Org: 265)
(1,495)
0.17 1,495
224 📈
(Org: 233)
(1,487)
0.01 1,487
224 📈
(Org: 269)
(1,487)
0.19 1,487
226 📈
(Org: 236)
(1,479)
0.02 1,479
227 📈
(Org: 251)
(1,474)
0.09 1,474
228 📈
(Org: 232)
(1,469)
- 1,469
229 📈
(Org: 387)
(1,449)
0.54 1,449
230 📈
(Org: 304)
(1,448)
0.32 1,448
231 📈
(Org: 237)
(1,443)
- 1,443
232 📈
(Org: 241)
(1,440)
0.02 1,440
233 📈
(Org: 465)
(1,439)
0.65 1,439
234 📈
(Org: 239)
(1,433)
0.02 1,433
235 📈
(Org: 242)
(1,429)
0.02 1,429
236 📈
(Org: 299)
(1,428)
0.3 1,428
237 📈
(Org: 310)
(1,409)
0.33 1,409
238 📈
(Org: 296)
(1,381)
0.27 1,381
239 📈
(Org: 247)
(1,376)
0.02 1,376
240 📈
(Org: 245)
(1,370)
- 1,370
240 📈
(Org: 272)
(1,370)
0.13 1,370
242 📈
(Org: 248)
(1,352)
- 1,352
243 📈
(Org: 250)
(1,350)
- 1,350
244 📈
(Org: 253)
(1,331)
- 1,331
245 📈
(Org: 254)
(1,315)
- 1,315
246 📈
(Org: 260)
(1,311)
0.02 1,311
247 📈
(Org: 256)
(1,306)
- 1,306
248 📈
(Org: 268)
(1,303)
0.06 1,303
249 📈
(Org: 294)
(1,284)
0.2 1,284
250 📈
(Org: 264)
(1,282)
0.02 1,282
251 📈
(Org: 261)
(1,275)
0 1,275
252 📈
(Org: 263)
(1,265)
0.01 1,265
253 📈
(Org: 262)
(1,262)
- 1,262
254 📈
(Org: 325)
(1,259)
0.31 1,259
255 📈
(Org: 279)
(1,251)
0.09 1,251
256 📈
(Org: 267)
(1,246)
0.02 1,246
257 📈
(Org: 313)
(1,245)
0.26 1,245
258 📈
(Org: 289)
(1,206)
0.13 1,206
259 📈
(Org: 270)
(1,205)
0 1,205
260 📈
(Org: 292)
(1,192)
0.13 1,192
261 📈
(Org: 274)
(1,189)
0.01 1,189
262 📈
(Org: 284)
(1,182)
0.09 1,182
263 📈
(Org: 275)
(1,173)
0 1,173
264 📈
(Org: 278)
(1,157)
0.02 1,157
265 📈
(Org: 324)
(1,155)
0.24 1,155
266 📈
(Org: 283)
(1,137)
0.04 1,137
267 📈
(Org: 280)
(1,118)
- 1,118
268 📈
(Org: 298)
(1,114)
0.1 1,114
269 📈
(Org: 300)
(1,094)
0.08 1,094
270 📈
(Org: 281)
(1,092)
- 1,092
271 📈
(Org: 286)
(1,079)
0.02 1,079
272 📈
(Org: 437)
(1,074)
0.49 1,074
273 📈
(Org: 293)
(1,068)
0.03 1,068
274 📈
(Org: 379)
(1,063)
0.35 1,063
275 📈
(Org: 286)
(1,059)
- 1,059
276 📈
(Org: 306)
(1,057)
0.09 1,057
277 📈
(Org: 334)
(1,051)
0.22 1,051
278 📈
(Org: 288)
(1,047)
- 1,047
279 📈
(Org: 291)
(1,038)
- 1,038
280 📈
(Org: 339)
(1,035)
0.22 1,035
281 📈
(Org: 303)
(1,017)
0.03 1,017
281 📈
(Org: 468)
(1,017)
0.51 1,017
283 📈
(Org: 297)
(1,010)
- 1,010
284 📈
(Org: 415)
(1,009)
0.41 1,009
285 📈
(Org: 301)
(999)
- 999
286 📈
(Org: 322)
(990)
0.1 990
286 📈
(Org: 327)
(990)
0.12 990
288 📈
(Org: 311)
(982)
0.05 982
289 📈
(Org: 305)
(978)
- 978
290 📈
(Org: 307)
(967)
0.01 967
291 📈
(Org: 308)
(949)
- 949
292 📈
(Org: 341)
(947)
0.15 947
293 📈
(Org: 309)
(944)
- 944
293 📈
(Org: 321)
(944)
0.06 944
295 📈
(Org: 312)
(940)
0.01 940
296 📈
(Org: 318)
(939)
0.04 939
297 📈
(Org: 315)
(938)
0.02 938
298 📈
(Org: 349)
(930)
0.16 930
298 📈
(Org: 320)
(930)
0.04 930
300 📈
(Org: 395)
(925)
0.3 925