201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2007 - 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: 294)
(1,870)
0.37 1,870
202 📈
(Org: 237)
(1,860)
0.17 1,860
203 📈
(Org: 357)
(1,852)
0.52 1,852
204 📈
(Org: 216)
(1,851)
0.04 1,851
205 📈
(Org: 217)
(1,845)
0.05 1,845
206 📈
(Org: 218)
(1,843)
0.05 1,843
207 📈
(Org: 213)
(1,834)
- 1,834
208 📈
(Org: 214)
(1,831)
- 1,831
208 📈
(Org: 214)
(1,831)
- 1,831
210 📈
(Org: 234)
(1,819)
0.15 1,819
211 📈
(Org: 265)
(1,815)
0.28 1,815
212 📈
(Org: 229)
(1,782)
0.09 1,782
213 📈
(Org: 218)
(1,748)
- 1,748
214 📈
(Org: 243)
(1,746)
0.15 1,746
215 📈
(Org: 221)
(1,742)
- 1,742
216 📈
(Org: 283)
(1,714)
0.29 1,714
217 📈
(Org: 224)
(1,704)
0.03 1,704
218 📈
(Org: 223)
(1,697)
0.01 1,697
219 📈
(Org: 225)
(1,654)
- 1,654
220 📈
(Org: 241)
(1,646)
0.08 1,646
221 📈
(Org: 280)
(1,639)
0.25 1,639
222 📈
(Org: 227)
(1,634)
0 1,634
223 📈
(Org: 252)
(1,630)
0.14 1,630
224 📈
(Org: 233)
(1,628)
0.03 1,628
225 📈
(Org: 231)
(1,610)
0 1,610
226 📈
(Org: 230)
(1,609)
- 1,609
227 📈
(Org: 286)
(1,603)
0.25 1,603
228 📈
(Org: 425)
(1,577)
0.57 1,577
229 📈
(Org: 316)
(1,573)
0.35 1,573
230 📈
(Org: 239)
(1,546)
0.01 1,546
231 📈
(Org: 238)
(1,541)
0.01 1,541
232 📈
(Org: 247)
(1,540)
0.06 1,540
233 📈
(Org: 242)
(1,515)
0.02 1,515
234 📈
(Org: 248)
(1,512)
0.05 1,512
235 📈
(Org: 240)
(1,511)
- 1,511
236 📈
(Org: 253)
(1,505)
0.07 1,505
237 📈
(Org: 244)
(1,504)
0.02 1,504
238 📈
(Org: 249)
(1,502)
0.05 1,502
239 📈
(Org: 318)
(1,488)
0.33 1,488
240 📈
(Org: 312)
(1,472)
0.28 1,472
241 📈
(Org: 246)
(1,464)
- 1,464
242 📈
(Org: 324)
(1,436)
0.31 1,436
243 📈
(Org: 250)
(1,427)
0.01 1,427
244 📈
(Org: 254)
(1,421)
0.02 1,421
245 📈
(Org: 263)
(1,410)
0.06 1,410
246 📈
(Org: 256)
(1,402)
0.01 1,402
247 📈
(Org: 255)
(1,397)
0.01 1,397
247 📈
(Org: 669)
(1,397)
0.74 1,397
249 📈
(Org: 259)
(1,386)
0.03 1,386
250 📈
(Org: 273)
(1,384)
0.09 1,384
251 📈
(Org: 257)
(1,375)
- 1,375
251 📈
(Org: 264)
(1,375)
0.04 1,375
253 📈
(Org: 258)
(1,365)
0.01 1,365
254 📈
(Org: 278)
(1,363)
0.09 1,363
254 📈
(Org: 285)
(1,363)
0.11 1,363
256 📈
(Org: 261)
(1,361)
0.02 1,361
257 📈
(Org: 306)
(1,345)
0.19 1,345
258 📈
(Org: 262)
(1,333)
- 1,333
259 📈
(Org: 463)
(1,324)
0.55 1,324
260 📈
(Org: 272)
(1,311)
0.04 1,311
261 📈
(Org: 424)
(1,307)
0.48 1,307
262 📈
(Org: 266)
(1,306)
- 1,306
263 📈
(Org: 269)
(1,300)
0.02 1,300
264 📈
(Org: 274)
(1,275)
0.02 1,275
265 📈
(Org: 317)
(1,270)
0.2 1,270
265 📈
(Org: 269)
(1,270)
- 1,270
267 📈
(Org: 277)
(1,264)
0.02 1,264
268 📈
(Org: 275)
(1,259)
0.01 1,259
269 📈
(Org: 276)
(1,244)
- 1,244
270 📈
(Org: 280)
(1,227)
- 1,227
271 📈
(Org: 288)
(1,222)
0.02 1,222
272 📈
(Org: 374)
(1,215)
0.33 1,215
273 📈
(Org: 287)
(1,197)
- 1,197
274 📈
(Org: 303)
(1,192)
0.07 1,192
275 📈
(Org: 315)
(1,186)
0.13 1,186
276 📈
(Org: 298)
(1,182)
0.02 1,182
276 📈
(Org: 289)
(1,182)
- 1,182
278 📈
(Org: 290)
(1,180)
- 1,180
279 📈
(Org: 291)
(1,177)
- 1,177
280 📈
(Org: 292)
(1,175)
- 1,175
280 📈
(Org: 329)
(1,175)
0.18 1,175
282 📈
(Org: 295)
(1,172)
- 1,172
283 📈
(Org: 296)
(1,167)
- 1,167
284 📈
(Org: 297)
(1,159)
- 1,159
285 📈
(Org: 302)
(1,151)
0.03 1,151
286 📈
(Org: 764)
(1,149)
0.75 1,149
287 📈
(Org: 471)
(1,148)
0.5 1,148
288 📈
(Org: 300)
(1,147)
0.01 1,147
288 📈
(Org: 330)
(1,147)
0.16 1,147
290 📈
(Org: 300)
(1,142)
0 1,142
291 📈
(Org: 339)
(1,120)
0.15 1,120
292 📈
(Org: 303)
(1,117)
0.01 1,117
292 📈
(Org: 349)
(1,117)
0.19 1,117
294 📈
(Org: 354)
(1,116)
0.2 1,116
295 📈
(Org: 326)
(1,114)
0.12 1,114
296 📈
(Org: 332)
(1,106)
0.13 1,106
297 📈
(Org: 334)
(1,102)
0.13 1,102
298 📈
(Org: 305)
(1,095)
- 1,095
299 📈
(Org: 335)
(1,090)
0.13 1,090
300 📈
(Org: 307)
(1,088)
0.01 1,088