201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2002 - 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: 253)
(1,796)
0.29 1,796
202 📈
(Org: 211)
(1,771)
0.06 1,771
203 📈
(Org: 229)
(1,770)
0.17 1,770
204 📈
(Org: 213)
(1,761)
0.09 1,761
205 📈
(Org: 231)
(1,759)
0.17 1,759
206 ➡️
(Org: 206)
(1,749)
- 1,749
207 ➡️
(Org: 207)
(1,730)
- 1,730
208 📈
(Org: 237)
(1,714)
0.17 1,714
209 📈
(Org: 221)
(1,706)
0.08 1,706
210 📉
(Org: 209)
(1,698)
- 1,698
211 📈
(Org: 282)
(1,687)
0.37 1,687
212 📈
(Org: 241)
(1,686)
0.17 1,686
213 📈
(Org: 350)
(1,649)
0.53 1,649
214 📈
(Org: 217)
(1,608)
0.02 1,608
215 📈
(Org: 220)
(1,594)
0.02 1,594
216 ➡️
(Org: 216)
(1,587)
- 1,587
217 ➡️
(Org: 217)
(1,575)
- 1,575
218 📈
(Org: 235)
(1,560)
0.08 1,560
219 📈
(Org: 225)
(1,555)
- 1,555
220 📈
(Org: 227)
(1,521)
- 1,521
221 📈
(Org: 273)
(1,516)
0.26 1,516
222 📈
(Org: 228)
(1,486)
0.01 1,486
222 📈
(Org: 233)
(1,486)
0.02 1,486
224 📈
(Org: 234)
(1,474)
0.02 1,474
225 📈
(Org: 230)
(1,468)
0.01 1,468
226 📈
(Org: 231)
(1,453)
- 1,453
227 📈
(Org: 238)
(1,437)
0.01 1,437
228 📈
(Org: 240)
(1,422)
0.01 1,422
229 📈
(Org: 279)
(1,420)
0.24 1,420
230 📈
(Org: 242)
(1,409)
0.01 1,409
231 📈
(Org: 299)
(1,407)
0.3 1,407
231 📈
(Org: 251)
(1,407)
0.08 1,407
233 📈
(Org: 243)
(1,393)
- 1,393
234 📈
(Org: 245)
(1,387)
- 1,387
235 📈
(Org: 246)
(1,384)
- 1,384
236 📈
(Org: 247)
(1,349)
0.02 1,349
236 📈
(Org: 248)
(1,349)
0.02 1,349
238 📈
(Org: 249)
(1,322)
0.02 1,322
239 📈
(Org: 266)
(1,303)
0.1 1,303
239 📈
(Org: 276)
(1,303)
0.15 1,303
241 📈
(Org: 249)
(1,301)
- 1,301
242 📈
(Org: 252)
(1,289)
- 1,289
243 📈
(Org: 264)
(1,276)
0.07 1,276
244 📈
(Org: 255)
(1,273)
- 1,273
245 📈
(Org: 271)
(1,270)
0.09 1,270
246 📈
(Org: 257)
(1,268)
- 1,268
247 📈
(Org: 258)
(1,263)
- 1,263
248 📈
(Org: 261)
(1,262)
0.02 1,262
248 📈
(Org: 503)
(1,262)
0.64 1,262
250 📈
(Org: 308)
(1,261)
0.26 1,261
251 📈
(Org: 293)
(1,249)
0.18 1,249
252 📈
(Org: 272)
(1,241)
0.08 1,241
253 📈
(Org: 291)
(1,236)
0.17 1,236
254 📈
(Org: 262)
(1,229)
- 1,229
255 📈
(Org: 349)
(1,217)
0.36 1,217
256 📈
(Org: 280)
(1,216)
0.11 1,216
257 📈
(Org: 277)
(1,215)
0.09 1,215
258 📈
(Org: 265)
(1,194)
0.01 1,194
259 📈
(Org: 269)
(1,191)
0.03 1,191
260 📈
(Org: 290)
(1,185)
0.13 1,185
261 📈
(Org: 267)
(1,183)
0.01 1,183
262 📈
(Org: 268)
(1,166)
- 1,166
263 📈
(Org: 281)
(1,129)
0.05 1,129
264 📈
(Org: 278)
(1,119)
0.03 1,119
265 📈
(Org: 437)
(1,115)
0.49 1,115
266 📈
(Org: 351)
(1,114)
0.3 1,114
267 📈
(Org: 286)
(1,083)
0.04 1,083
268 📈
(Org: 287)
(1,065)
0.02 1,065
269 📈
(Org: 375)
(1,058)
0.34 1,058
270 📈
(Org: 302)
(1,056)
0.08 1,056
271 📈
(Org: 341)
(1,054)
0.24 1,054
272 📈
(Org: 284)
(1,045)
- 1,045
273 📈
(Org: 285)
(1,043)
- 1,043
274 📈
(Org: 294)
(1,036)
0.02 1,036
275 📈
(Org: 336)
(1,033)
0.21 1,033
276 📈
(Org: 288)
(1,032)
- 1,032
277 📈
(Org: 292)
(1,030)
0.01 1,030
278 📈
(Org: 289)
(1,028)
- 1,028
279 📈
(Org: 446)
(1,024)
0.46 1,024
280 📈
(Org: 295)
(1,018)
0.01 1,018
281 📈
(Org: 306)
(1,014)
0.06 1,014
282 📈
(Org: 296)
(999)
- 999
283 📈
(Org: 354)
(988)
0.22 988
284 📈
(Org: 297)
(987)
- 987
285 📈
(Org: 298)
(984)
- 984
286 📈
(Org: 300)
(975)
- 975
287 📈
(Org: 305)
(967)
0.01 967
288 📈
(Org: 316)
(963)
0.06 963
289 📈
(Org: 407)
(960)
0.35 960
290 📈
(Org: 303)
(958)
- 958
291 📈
(Org: 312)
(957)
0.04 957
291 📈
(Org: 325)
(957)
0.11 957
293 📈
(Org: 304)
(954)
- 954
294 📈
(Org: 363)
(948)
0.23 948
295 📈
(Org: 356)
(946)
0.21 946
295 📈
(Org: 307)
(946)
0.01 946
297 📈
(Org: 332)
(942)
0.12 942
298 📈
(Org: 314)
(941)
0.03 941
299 📈
(Org: 308)
(939)
0.01 939
300 📈
(Org: 310)
(934)
0.01 934