201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 1990 - 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: 214)
(1,506)
0.04 1,506
202 ➡️
(Org: 202)
(1,502)
- 1,502
203 📈
(Org: 213)
(1,493)
0.03 1,493
204 📈
(Org: 208)
(1,491)
0.01 1,491
205 📈
(Org: 247)
(1,484)
0.25 1,484
206 📈
(Org: 209)
(1,476)
0.01 1,476
207 📈
(Org: 210)
(1,471)
0.01 1,471
208 📈
(Org: 301)
(1,470)
0.42 1,470
209 📈
(Org: 246)
(1,450)
0.22 1,450
210 📈
(Org: 218)
(1,449)
0.04 1,449
211 📈
(Org: 221)
(1,440)
0.04 1,440
212 📈
(Org: 215)
(1,437)
- 1,437
213 📈
(Org: 358)
(1,423)
0.53 1,423
214 📈
(Org: 217)
(1,421)
0.01 1,421
215 📈
(Org: 226)
(1,394)
0.04 1,394
216 📈
(Org: 219)
(1,391)
- 1,391
217 📈
(Org: 220)
(1,387)
- 1,387
217 📈
(Org: 232)
(1,387)
0.1 1,387
219 📈
(Org: 224)
(1,364)
0.01 1,364
220 📈
(Org: 366)
(1,342)
0.52 1,342
221 📈
(Org: 245)
(1,334)
0.15 1,334
222 📈
(Org: 228)
(1,311)
- 1,311
223 📈
(Org: 296)
(1,302)
0.35 1,302
224 📈
(Org: 241)
(1,301)
0.11 1,301
225 📈
(Org: 229)
(1,288)
- 1,288
226 📈
(Org: 236)
(1,286)
0.05 1,286
227 📈
(Org: 230)
(1,284)
- 1,284
228 📈
(Org: 260)
(1,260)
0.18 1,260
229 📈
(Org: 238)
(1,244)
0.05 1,244
230 📈
(Org: 235)
(1,239)
0.01 1,239
231 📈
(Org: 233)
(1,238)
0.01 1,238
231 📈
(Org: 244)
(1,238)
0.08 1,238
233 📈
(Org: 237)
(1,221)
0 1,221
234 📈
(Org: 248)
(1,186)
0.07 1,186
235 📈
(Org: 251)
(1,179)
0.08 1,179
236 📈
(Org: 239)
(1,170)
- 1,170
237 📈
(Org: 307)
(1,167)
0.29 1,167
238 📈
(Org: 257)
(1,154)
0.1 1,154
239 📈
(Org: 242)
(1,148)
- 1,148
240 📈
(Org: 243)
(1,146)
0.01 1,146
241 📈
(Org: 282)
(1,136)
0.19 1,136
242 📈
(Org: 296)
(1,130)
0.25 1,130
243 📈
(Org: 338)
(1,116)
0.35 1,116
244 📈
(Org: 254)
(1,103)
0.03 1,103
245 📈
(Org: 274)
(1,092)
0.12 1,092
246 📈
(Org: 250)
(1,090)
- 1,090
247 📈
(Org: 253)
(1,073)
- 1,073
248 📈
(Org: 283)
(1,065)
0.14 1,065
249 📈
(Org: 258)
(1,054)
0.02 1,054
250 📈
(Org: 317)
(1,047)
0.24 1,047
251 📈
(Org: 259)
(1,036)
- 1,036
252 📈
(Org: 337)
(1,033)
0.29 1,033
252 📈
(Org: 263)
(1,033)
0.01 1,033
254 📈
(Org: 264)
(1,030)
0.01 1,030
255 📈
(Org: 265)
(1,016)
- 1,016
256 📈
(Org: 299)
(1,011)
0.16 1,011
256 📈
(Org: 266)
(1,011)
- 1,011
258 📈
(Org: 267)
(1,007)
- 1,007
259 📈
(Org: 290)
(1,003)
0.13 1,003
260 📈
(Org: 280)
(993)
0.07 993
261 📈
(Org: 344)
(990)
0.28 990
262 📈
(Org: 270)
(988)
0.01 988
263 📈
(Org: 276)
(979)
0.04 979
263 📈
(Org: 273)
(979)
0.02 979
265 📈
(Org: 271)
(978)
- 978
266 📈
(Org: 417)
(976)
0.44 976
267 📈
(Org: 272)
(974)
- 974
268 📈
(Org: 306)
(961)
0.14 961
269 📈
(Org: 274)
(957)
- 957
270 📈
(Org: 277)
(950)
0.01 950
271 📈
(Org: 291)
(942)
0.08 942
271 📈
(Org: 278)
(942)
0.01 942
273 📈
(Org: 380)
(938)
0.35 938
274 📈
(Org: 280)
(933)
0.01 933
275 📈
(Org: 284)
(931)
0.01 931
275 📈
(Org: 279)
(931)
- 931
277 📈
(Org: 292)
(916)
0.06 916
277 📈
(Org: 296)
(916)
0.07 916
279 📈
(Org: 334)
(914)
0.19 914
280 📈
(Org: 286)
(911)
0.02 911
281 📈
(Org: 285)
(907)
- 907
282 📈
(Org: 355)
(895)
0.24 895
283 📈
(Org: 311)
(887)
0.08 887
284 📈
(Org: 289)
(883)
0.02 883
285 📈
(Org: 294)
(879)
0.02 879
286 📈
(Org: 293)
(878)
0.02 878
287 📈
(Org: 288)
(876)
0.01 876
288 📉
(Org: 287)
(871)
- 871
289 📈
(Org: 378)
(868)
0.3 868
290 📈
(Org: 321)
(865)
0.09 865
291 📈
(Org: 357)
(854)
0.21 854
292 📈
(Org: 328)
(853)
0.11 853
293 📈
(Org: 319)
(852)
0.07 852
294 📈
(Org: 451)
(848)
0.43 848
295 📈
(Org: 302)
(846)
- 846
296 📈
(Org: 325)
(845)
0.09 845
297 📈
(Org: 303)
(838)
- 838
298 📈
(Org: 327)
(835)
0.09 835
299 📈
(Org: 308)
(827)
- 827
299 📈
(Org: 308)
(827)
- 827