201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2003 - 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: 206)
(1,793)
0.01 1,793
202 📈
(Org: 217)
(1,785)
0.1 1,785
203 📈
(Org: 266)
(1,776)
0.33 1,776
204 📈
(Org: 209)
(1,754)
- 1,754
205 📈
(Org: 210)
(1,741)
0.02 1,741
206 📈
(Org: 211)
(1,713)
0 1,713
207 📈
(Org: 212)
(1,704)
0 1,704
208 📈
(Org: 213)
(1,697)
0.01 1,697
209 📈
(Org: 236)
(1,687)
0.16 1,687
210 📈
(Org: 358)
(1,683)
0.55 1,683
211 📈
(Org: 223)
(1,680)
0.07 1,680
212 📈
(Org: 227)
(1,656)
0.08 1,656
213 📈
(Org: 274)
(1,654)
0.32 1,654
214 📈
(Org: 216)
(1,637)
- 1,637
215 📈
(Org: 229)
(1,623)
0.07 1,623
216 📈
(Org: 218)
(1,612)
0 1,612
217 📈
(Org: 219)
(1,596)
- 1,596
218 📈
(Org: 222)
(1,572)
- 1,572
219 📈
(Org: 255)
(1,562)
0.17 1,562
220 📈
(Org: 225)
(1,559)
0.01 1,559
220 📈
(Org: 276)
(1,559)
0.28 1,559
220 📈
(Org: 224)
(1,559)
- 1,559
223 📈
(Org: 226)
(1,526)
- 1,526
224 📈
(Org: 263)
(1,520)
0.18 1,520
225 📈
(Org: 247)
(1,510)
0.09 1,510
226 📈
(Org: 230)
(1,500)
- 1,500
227 📈
(Org: 246)
(1,485)
0.08 1,485
228 📈
(Org: 243)
(1,472)
0.06 1,472
229 📈
(Org: 367)
(1,447)
0.51 1,447
230 📈
(Org: 235)
(1,443)
0.01 1,443
231 📈
(Org: 239)
(1,437)
0.03 1,437
232 📈
(Org: 264)
(1,428)
0.15 1,428
233 📈
(Org: 240)
(1,421)
0.02 1,421
234 📈
(Org: 238)
(1,411)
0.01 1,411
235 📈
(Org: 237)
(1,406)
- 1,406
236 📈
(Org: 297)
(1,404)
0.27 1,404
237 📈
(Org: 241)
(1,394)
0.01 1,394
238 📈
(Org: 241)
(1,379)
- 1,379
239 📈
(Org: 245)
(1,374)
- 1,374
240 📈
(Org: 248)
(1,370)
0.01 1,370
241 📈
(Org: 280)
(1,352)
0.18 1,352
242 📈
(Org: 254)
(1,341)
0.04 1,341
243 📈
(Org: 251)
(1,324)
0.01 1,324
244 📈
(Org: 250)
(1,318)
- 1,318
245 📈
(Org: 252)
(1,310)
- 1,310
246 📈
(Org: 253)
(1,308)
- 1,308
247 📈
(Org: 260)
(1,299)
0.02 1,299
248 📈
(Org: 277)
(1,297)
0.13 1,297
249 📈
(Org: 256)
(1,289)
0 1,289
250 📈
(Org: 257)
(1,278)
- 1,278
251 📈
(Org: 258)
(1,274)
- 1,274
252 📈
(Org: 272)
(1,273)
0.1 1,273
253 📈
(Org: 282)
(1,270)
0.13 1,270
254 📈
(Org: 262)
(1,262)
- 1,262
255 📈
(Org: 420)
(1,241)
0.51 1,241
256 📈
(Org: 298)
(1,226)
0.17 1,226
257 📈
(Org: 506)
(1,224)
0.61 1,224
258 📈
(Org: 339)
(1,220)
0.32 1,220
259 📈
(Org: 283)
(1,201)
0.08 1,201
260 📈
(Org: 287)
(1,196)
0.09 1,196
261 📈
(Org: 269)
(1,194)
0.02 1,194
262 📈
(Org: 267)
(1,186)
0.01 1,186
263 📈
(Org: 270)
(1,179)
0.02 1,179
264 📈
(Org: 354)
(1,176)
0.34 1,176
265 📈
(Org: 271)
(1,158)
- 1,158
266 📈
(Org: 290)
(1,144)
0.06 1,144
266 📈
(Org: 273)
(1,144)
0.01 1,144
268 📈
(Org: 286)
(1,139)
0.04 1,139
269 📈
(Org: 277)
(1,131)
0 1,131
270 📈
(Org: 330)
(1,130)
0.22 1,130
271 📈
(Org: 338)
(1,125)
0.25 1,125
272 📈
(Org: 288)
(1,111)
0.03 1,111
273 📈
(Org: 321)
(1,108)
0.17 1,108
274 📈
(Org: 285)
(1,095)
- 1,095
275 📈
(Org: 326)
(1,087)
0.17 1,087
276 📈
(Org: 291)
(1,072)
- 1,072
277 📈
(Org: 296)
(1,065)
0.02 1,065
278 📈
(Org: 293)
(1,061)
0.01 1,061
279 📈
(Org: 305)
(1,057)
0.08 1,057
280 📈
(Org: 302)
(1,053)
0.05 1,053
281 📈
(Org: 294)
(1,049)
- 1,049
282 📈
(Org: 295)
(1,040)
- 1,040
283 📈
(Org: 459)
(1,034)
0.47 1,034
284 📈
(Org: 305)
(1,029)
0.05 1,029
284 📈
(Org: 301)
(1,029)
0.02 1,029
286 📈
(Org: 299)
(1,021)
- 1,021
287 📈
(Org: 348)
(1,001)
0.2 1,001
288 📈
(Org: 307)
(988)
0.01 988
288 📈
(Org: 340)
(988)
0.17 988
290 📈
(Org: 303)
(986)
- 986
291 📈
(Org: 332)
(982)
0.11 982
292 📈
(Org: 329)
(979)
0.1 979
293 📈
(Org: 312)
(969)
0.01 969
294 📈
(Org: 323)
(968)
0.06 968
295 📈
(Org: 309)
(964)
- 964
296 📈
(Org: 310)
(963)
- 963
297 📈
(Org: 783)
(962)
0.77 962
298 📈
(Org: 314)
(953)
- 953
299 📈
(Org: 317)
(951)
0.02 951
300 📈
(Org: 315)
(950)
- 950