201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 1998 - 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: 198)
(1,708)
0.01 1,708
202 📉
(Org: 196)
(1,703)
- 1,703
203 📈
(Org: 229)
(1,689)
0.18 1,689
204 📈
(Org: 260)
(1,681)
0.32 1,681
205 📉
(Org: 200)
(1,672)
- 1,672
206 📉
(Org: 201)
(1,670)
- 1,670
207 📈
(Org: 275)
(1,663)
0.37 1,663
208 ➡️
(Org: 208)
(1,660)
0.07 1,660
209 ➡️
(Org: 209)
(1,596)
0.03 1,596
210 📈
(Org: 218)
(1,580)
0.07 1,580
211 📈
(Org: 216)
(1,577)
0.06 1,577
212 📈
(Org: 213)
(1,565)
0.04 1,565
213 📉
(Org: 212)
(1,531)
0 1,531
214 📈
(Org: 217)
(1,502)
0.02 1,502
215 ➡️
(Org: 215)
(1,491)
- 1,491
216 📈
(Org: 219)
(1,473)
0.01 1,473
217 📈
(Org: 274)
(1,457)
0.28 1,457
218 📈
(Org: 228)
(1,456)
0.04 1,456
219 📈
(Org: 238)
(1,454)
0.09 1,454
220 📈
(Org: 223)
(1,447)
- 1,447
221 📈
(Org: 272)
(1,436)
0.27 1,436
222 📈
(Org: 224)
(1,427)
- 1,427
223 📈
(Org: 227)
(1,418)
0.01 1,418
223 📈
(Org: 225)
(1,418)
- 1,418
225 📈
(Org: 243)
(1,399)
0.09 1,399
226 📈
(Org: 232)
(1,390)
0.01 1,390
227 📈
(Org: 231)
(1,375)
- 1,375
228 📈
(Org: 236)
(1,366)
0.02 1,366
229 📈
(Org: 233)
(1,365)
- 1,365
230 📈
(Org: 237)
(1,350)
0.02 1,350
231 📈
(Org: 234)
(1,345)
- 1,345
232 📈
(Org: 296)
(1,340)
0.29 1,340
233 📈
(Org: 262)
(1,339)
0.15 1,339
234 📈
(Org: 239)
(1,316)
- 1,316
235 📈
(Org: 252)
(1,311)
0.1 1,311
236 📈
(Org: 266)
(1,310)
0.18 1,310
237 📈
(Org: 240)
(1,294)
- 1,294
238 📈
(Org: 244)
(1,287)
0.01 1,287
239 📈
(Org: 485)
(1,282)
0.65 1,282
240 📈
(Org: 265)
(1,273)
0.15 1,273
241 📈
(Org: 305)
(1,264)
0.27 1,264
242 📈
(Org: 433)
(1,256)
0.58 1,256
243 📈
(Org: 246)
(1,246)
0.01 1,246
244 📈
(Org: 247)
(1,237)
- 1,237
245 📈
(Org: 254)
(1,229)
0.04 1,229
246 📈
(Org: 248)
(1,218)
0.01 1,218
246 📈
(Org: 292)
(1,218)
0.2 1,218
248 📈
(Org: 336)
(1,212)
0.33 1,212
249 ➡️
(Org: 249)
(1,209)
0.01 1,209
250 📈
(Org: 256)
(1,202)
0.02 1,202
251 📈
(Org: 254)
(1,197)
0.02 1,197
252 📉
(Org: 250)
(1,192)
- 1,192
253 📈
(Org: 338)
(1,190)
0.32 1,190
254 📈
(Org: 277)
(1,163)
0.11 1,163
255 📈
(Org: 257)
(1,160)
- 1,160
256 📈
(Org: 272)
(1,158)
0.09 1,158
256 📈
(Org: 258)
(1,158)
- 1,158
258 📈
(Org: 261)
(1,148)
0.01 1,148
259 📈
(Org: 279)
(1,110)
0.07 1,110
260 📈
(Org: 283)
(1,102)
0.08 1,102
261 📈
(Org: 276)
(1,092)
0.05 1,092
262 📈
(Org: 423)
(1,090)
0.5 1,090
263 📈
(Org: 279)
(1,088)
0.06 1,088
264 📈
(Org: 269)
(1,087)
0.03 1,087
265 📈
(Org: 281)
(1,081)
0.05 1,081
266 📈
(Org: 269)
(1,068)
0.01 1,068
267 📈
(Org: 321)
(1,056)
0.19 1,056
268 📈
(Org: 362)
(1,051)
0.31 1,051
269 📈
(Org: 320)
(1,038)
0.17 1,038
270 📈
(Org: 278)
(1,028)
- 1,028
270 📈
(Org: 288)
(1,028)
0.03 1,028
272 📈
(Org: 285)
(1,019)
0.01 1,019
273 📈
(Org: 467)
(1,014)
0.52 1,014
274 📈
(Org: 286)
(1,007)
- 1,007
275 📈
(Org: 297)
(1,001)
0.05 1,001
276 📈
(Org: 464)
(1,000)
0.52 1,000
277 📈
(Org: 289)
(990)
0.01 990
278 📈
(Org: 360)
(984)
0.26 984
279 📈
(Org: 289)
(983)
- 983
279 📈
(Org: 289)
(983)
- 983
281 📈
(Org: 322)
(981)
0.14 981
282 📈
(Org: 298)
(977)
0.03 977
283 📈
(Org: 314)
(975)
0.09 975
284 📈
(Org: 363)
(965)
0.26 965
284 📈
(Org: 298)
(965)
0.01 965
286 📈
(Org: 303)
(962)
0.02 962
287 📈
(Org: 300)
(957)
0.01 957
288 📈
(Org: 294)
(956)
- 956
289 📈
(Org: 295)
(955)
- 955
290 📈
(Org: 302)
(953)
0.01 953
291 📈
(Org: 327)
(942)
0.12 942
292 📈
(Org: 350)
(941)
0.2 941
293 📈
(Org: 317)
(940)
0.07 940
294 📈
(Org: 311)
(930)
0.04 930
295 📈
(Org: 339)
(928)
0.14 928
295 📈
(Org: 379)
(928)
0.28 928
297 📈
(Org: 315)
(923)
0.05 923
298 📈
(Org: 306)
(920)
- 920
299 📈
(Org: 307)
(916)
- 916
300 📈
(Org: 315)
(911)
0.03 911