201 to 300 Most Popular Boy Baby Names by Pronunciation in the US 2010 - 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: 251)
(1,795)
0.24 1,795
202 📈
(Org: 219)
(1,781)
0.08 1,781
203 📈
(Org: 263)
(1,779)
0.26 1,779
204 📈
(Org: 272)
(1,777)
0.28 1,777
205 📈
(Org: 436)
(1,757)
0.64 1,757
206 📈
(Org: 212)
(1,755)
0.04 1,755
207 📉
(Org: 204)
(1,754)
- 1,754
208 📈
(Org: 330)
(1,753)
0.46 1,753
209 📈
(Org: 288)
(1,748)
0.33 1,748
210 📉
(Org: 209)
(1,745)
0.02 1,745
211 📈
(Org: 316)
(1,743)
0.42 1,743
212 📈
(Org: 257)
(1,741)
0.23 1,741
213 📈
(Org: 303)
(1,715)
0.38 1,715
214 📉
(Org: 208)
(1,708)
- 1,708
215 📉
(Org: 214)
(1,703)
0.02 1,703
216 📉
(Org: 210)
(1,701)
- 1,701
217 📈
(Org: 280)
(1,699)
0.29 1,699
218 📉
(Org: 211)
(1,697)
- 1,697
219 📈
(Org: 354)
(1,694)
0.49 1,694
220 📉
(Org: 212)
(1,691)
- 1,691
221 📈
(Org: 270)
(1,690)
0.24 1,690
222 📈
(Org: 225)
(1,653)
0.04 1,653
223 📉
(Org: 217)
(1,644)
- 1,644
224 📉
(Org: 223)
(1,642)
0.01 1,642
225 📈
(Org: 245)
(1,595)
0.1 1,595
226 📉
(Org: 224)
(1,587)
- 1,587
227 ➡️
(Org: 227)
(1,569)
0.01 1,569
228 📉
(Org: 226)
(1,562)
- 1,562
229 📈
(Org: 232)
(1,554)
0.02 1,554
230 📈
(Org: 237)
(1,547)
0.05 1,547
231 📉
(Org: 228)
(1,543)
- 1,543
232 📉
(Org: 231)
(1,527)
- 1,527
233 📈
(Org: 278)
(1,526)
0.2 1,526
234 📈
(Org: 265)
(1,525)
0.15 1,525
235 📈
(Org: 243)
(1,512)
0.05 1,512
236 📈
(Org: 242)
(1,504)
0.04 1,504
237 📈
(Org: 238)
(1,502)
0.02 1,502
238 📉
(Org: 233)
(1,496)
0 1,496
239 📉
(Org: 234)
(1,489)
- 1,489
240 📉
(Org: 235)
(1,481)
- 1,481
241 📈
(Org: 251)
(1,466)
0.07 1,466
242 📈
(Org: 244)
(1,465)
0.02 1,465
243 📉
(Org: 240)
(1,458)
0 1,458
244 📉
(Org: 241)
(1,456)
0 1,456
245 📈
(Org: 269)
(1,443)
0.11 1,443
246 📈
(Org: 264)
(1,421)
0.08 1,421
247 ➡️
(Org: 247)
(1,414)
- 1,414
248 📈
(Org: 271)
(1,410)
0.09 1,410
248 📈
(Org: 267)
(1,410)
0.08 1,410
250 📈
(Org: 442)
(1,393)
0.57 1,393
251 📉
(Org: 248)
(1,390)
0 1,390
252 📉
(Org: 250)
(1,380)
0.01 1,380
253 📈
(Org: 260)
(1,372)
0.03 1,372
254 📈
(Org: 257)
(1,352)
0.01 1,352
255 ➡️
(Org: 255)
(1,342)
- 1,342
256 📈
(Org: 257)
(1,333)
- 1,333
257 📈
(Org: 297)
(1,325)
0.17 1,325
258 📈
(Org: 274)
(1,322)
0.05 1,322
259 📈
(Org: 268)
(1,306)
0.01 1,306
260 📈
(Org: 282)
(1,289)
0.08 1,289
261 📈
(Org: 276)
(1,284)
0.04 1,284
262 📈
(Org: 273)
(1,272)
- 1,272
262 📈
(Org: 279)
(1,272)
0.05 1,272
264 📈
(Org: 368)
(1,255)
0.36 1,255
265 📈
(Org: 277)
(1,254)
0.02 1,254
266 📈
(Org: 287)
(1,231)
0.04 1,231
267 📈
(Org: 286)
(1,225)
0.03 1,225
268 📈
(Org: 281)
(1,206)
0.01 1,206
269 📈
(Org: 292)
(1,198)
0.05 1,198
270 📈
(Org: 285)
(1,196)
0.01 1,196
271 📈
(Org: 282)
(1,192)
- 1,192
271 📈
(Org: 325)
(1,192)
0.19 1,192
273 📈
(Org: 284)
(1,189)
- 1,189
274 📈
(Org: 289)
(1,184)
0.01 1,184
274 📈
(Org: 290)
(1,184)
0.02 1,184
276 📈
(Org: 300)
(1,157)
0.06 1,157
277 📈
(Org: 382)
(1,137)
0.34 1,137
278 📈
(Org: 321)
(1,135)
0.13 1,135
279 📈
(Org: 293)
(1,133)
0.01 1,133
280 📈
(Org: 305)
(1,132)
0.08 1,132
281 📈
(Org: 428)
(1,123)
0.43 1,123
282 📈
(Org: 323)
(1,117)
0.13 1,117
283 📈
(Org: 337)
(1,112)
0.16 1,112
284 📈
(Org: 318)
(1,111)
0.1 1,111
284 📈
(Org: 295)
(1,111)
- 1,111
286 📈
(Org: 296)
(1,110)
- 1,110
287 📈
(Org: 298)
(1,107)
0.01 1,107
287 📈
(Org: 764)
(1,107)
0.74 1,107
289 📈
(Org: 306)
(1,086)
0.04 1,086
290 📈
(Org: 311)
(1,084)
0.05 1,084
291 📈
(Org: 375)
(1,081)
0.29 1,081
292 📈
(Org: 302)
(1,077)
- 1,077
293 📈
(Org: 309)
(1,071)
0.04 1,071
294 📈
(Org: 342)
(1,069)
0.14 1,069
295 📈
(Org: 331)
(1,065)
0.11 1,065
295 📈
(Org: 308)
(1,065)
0.03 1,065
297 📈
(Org: 563)
(1,059)
0.58 1,059
298 📈
(Org: 311)
(1,056)
0.03 1,056
299 📈
(Org: 396)
(1,038)
0.31 1,038
300 📈
(Org: 313)
(1,032)
0.01 1,032