201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 1999 - 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: 229)
(1,745)
0.18 1,745
202 📉
(Org: 197)
(1,721)
0.01 1,721
203 📈
(Org: 214)
(1,708)
0.07 1,708
204 📉
(Org: 200)
(1,693)
- 1,693
204 ➡️
(Org: 204)
(1,693)
0.01 1,693
206 📉
(Org: 202)
(1,690)
- 1,690
207 📉
(Org: 206)
(1,685)
0.01 1,685
208 📉
(Org: 205)
(1,672)
- 1,672
209 📈
(Org: 216)
(1,645)
0.04 1,645
210 📈
(Org: 211)
(1,623)
- 1,623
211 📈
(Org: 215)
(1,610)
0.02 1,610
212 📈
(Org: 218)
(1,605)
0.02 1,605
213 📈
(Org: 226)
(1,577)
0.05 1,577
214 📈
(Org: 217)
(1,572)
- 1,572
215 📈
(Org: 219)
(1,552)
0 1,552
216 📈
(Org: 223)
(1,547)
0.02 1,547
217 📈
(Org: 249)
(1,532)
0.17 1,532
218 📈
(Org: 221)
(1,531)
- 1,531
219 📈
(Org: 253)
(1,515)
0.18 1,515
220 📈
(Org: 228)
(1,481)
0.01 1,481
221 📈
(Org: 270)
(1,478)
0.25 1,478
222 📈
(Org: 290)
(1,471)
0.32 1,471
223 📈
(Org: 256)
(1,469)
0.17 1,469
224 📈
(Org: 230)
(1,460)
0.02 1,460
225 📈
(Org: 239)
(1,452)
0.08 1,452
226 📈
(Org: 232)
(1,415)
- 1,415
227 📈
(Org: 233)
(1,414)
- 1,414
228 📈
(Org: 301)
(1,407)
0.32 1,407
229 📈
(Org: 248)
(1,399)
0.09 1,399
230 📈
(Org: 271)
(1,379)
0.2 1,379
231 📈
(Org: 236)
(1,368)
- 1,368
232 📈
(Org: 237)
(1,367)
- 1,367
233 📈
(Org: 245)
(1,335)
0.02 1,335
233 📈
(Org: 246)
(1,335)
0.03 1,335
235 📈
(Org: 242)
(1,334)
0.01 1,334
236 📈
(Org: 241)
(1,322)
- 1,322
237 📈
(Org: 244)
(1,315)
- 1,315
238 📈
(Org: 247)
(1,311)
0.02 1,311
238 📈
(Org: 491)
(1,311)
0.66 1,311
240 📈
(Org: 297)
(1,309)
0.26 1,309
241 📈
(Org: 344)
(1,306)
0.4 1,306
242 📈
(Org: 300)
(1,299)
0.26 1,299
243 📈
(Org: 272)
(1,289)
0.15 1,289
244 📈
(Org: 277)
(1,271)
0.16 1,271
245 📈
(Org: 250)
(1,264)
0.01 1,264
246 📈
(Org: 251)
(1,261)
0.01 1,261
247 📈
(Org: 262)
(1,254)
0.09 1,254
248 📈
(Org: 322)
(1,249)
0.31 1,249
249 📈
(Org: 416)
(1,245)
0.55 1,245
250 📈
(Org: 257)
(1,244)
0.02 1,244
250 📈
(Org: 252)
(1,244)
- 1,244
252 📈
(Org: 254)
(1,239)
0.01 1,239
253 📈
(Org: 261)
(1,215)
0.02 1,215
254 📈
(Org: 260)
(1,207)
0.01 1,207
255 📈
(Org: 266)
(1,186)
0.04 1,186
256 📈
(Org: 274)
(1,184)
0.1 1,184
257 📈
(Org: 273)
(1,175)
0.07 1,175
258 📈
(Org: 276)
(1,168)
0.09 1,168
259 📈
(Org: 292)
(1,160)
0.15 1,160
260 📈
(Org: 285)
(1,147)
0.11 1,147
261 📈
(Org: 263)
(1,145)
0.01 1,145
262 📈
(Org: 267)
(1,143)
0.01 1,143
263 📈
(Org: 336)
(1,136)
0.31 1,136
264 📈
(Org: 269)
(1,118)
- 1,118
265 📈
(Org: 283)
(1,106)
0.07 1,106
266 📈
(Org: 275)
(1,105)
0.03 1,105
267 📈
(Org: 289)
(1,098)
0.09 1,098
268 📈
(Org: 333)
(1,087)
0.25 1,087
269 📈
(Org: 423)
(1,084)
0.49 1,084
270 📈
(Org: 279)
(1,067)
0.01 1,067
271 📈
(Org: 278)
(1,065)
- 1,065
272 📈
(Org: 282)
(1,059)
0.01 1,059
273 📈
(Org: 298)
(1,036)
0.07 1,036
274 📈
(Org: 287)
(1,027)
0.02 1,027
274 📈
(Org: 310)
(1,027)
0.11 1,027
276 📈
(Org: 284)
(1,025)
- 1,025
277 📈
(Org: 291)
(1,020)
0.03 1,020
278 📈
(Org: 373)
(1,018)
0.32 1,018
279 📈
(Org: 286)
(1,017)
- 1,017
280 📈
(Org: 301)
(1,014)
0.06 1,014
281 📈
(Org: 335)
(1,011)
0.21 1,011
282 📈
(Org: 295)
(982)
0.01 982
283 📈
(Org: 298)
(980)
0.02 980
284 📈
(Org: 296)
(971)
- 971
285 📈
(Org: 372)
(965)
0.27 965
286 📈
(Org: 307)
(964)
0.03 964
287 📈
(Org: 384)
(959)
0.3 959
288 📈
(Org: 303)
(950)
- 950
289 📈
(Org: 305)
(946)
- 946
290 📈
(Org: 308)
(943)
0.01 943
290 📈
(Org: 368)
(943)
0.25 943
292 📈
(Org: 306)
(938)
- 938
293 📈
(Org: 349)
(935)
0.18 935
294 📈
(Org: 339)
(934)
0.16 934
295 📈
(Org: 502)
(931)
0.54 931
296 📈
(Org: 317)
(929)
0.03 929
297 📈
(Org: 314)
(920)
0.01 920
298 📈
(Org: 338)
(919)
0.15 919
299 📈
(Org: 310)
(918)
- 918
300 📈
(Org: 315)
(905)
- 905