301 to 400 Most Popular Boy Baby Names by Pronunciation in the US 2009 - 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
301 📈
(Org: 606)
(1,052)
0.6 1,052
302 📈
(Org: 314)
(1,048)
0.03 1,048
303 📈
(Org: 320)
(1,046)
0.05 1,046
304 📈
(Org: 317)
(1,044)
0.04 1,044
305 📈
(Org: 310)
(1,038)
- 1,038
306 📈
(Org: 316)
(1,030)
0.02 1,030
307 📈
(Org: 315)
(1,029)
0.01 1,029
308 📈
(Org: 318)
(1,024)
0.02 1,024
309 📈
(Org: 346)
(1,023)
0.11 1,023
310 📈
(Org: 362)
(1,020)
0.17 1,020
311 📈
(Org: 321)
(1,019)
0.02 1,019
312 📈
(Org: 444)
(1,012)
0.38 1,012
313 📈
(Org: 405)
(1,009)
0.27 1,009
313 📈
(Org: 353)
(1,009)
0.12 1,009
313 📈
(Org: 715)
(1,009)
0.67 1,009
316 📈
(Org: 322)
(1,005)
0.01 1,005
317 📈
(Org: 319)
(1,002)
- 1,002
318 📈
(Org: 324)
(994)
0.01 994
319 📈
(Org: 323)
(992)
- 992
320 📈
(Org: 357)
(990)
0.13 990
321 📈
(Org: 329)
(986)
0.02 986
322 📈
(Org: 327)
(979)
- 979
322 📈
(Org: 330)
(979)
0.02 979
324 📈
(Org: 342)
(972)
0.05 972
325 📈
(Org: 381)
(969)
0.18 969
326 📈
(Org: 331)
(963)
- 963
327 📈
(Org: 334)
(960)
0.01 960
328 📈
(Org: 332)
(958)
- 958
329 📈
(Org: 334)
(955)
- 955
330 📈
(Org: 371)
(951)
0.14 951
331 📈
(Org: 337)
(950)
0.01 950
332 📈
(Org: 368)
(943)
0.13 943
333 📈
(Org: 342)
(937)
0.02 937
334 📈
(Org: 516)
(935)
0.44 935
335 📈
(Org: 339)
(934)
0.01 934
335 📈
(Org: 338)
(934)
- 934
337 📈
(Org: 359)
(932)
0.08 932
338 📈
(Org: 418)
(930)
0.25 930
339 📈
(Org: 341)
(926)
- 926
340 📈
(Org: 425)
(925)
0.27 925
341 📈
(Org: 585)
(921)
0.51 921
342 📈
(Org: 367)
(920)
0.1 920
343 📈
(Org: 344)
(918)
0.01 918
344 📈
(Org: 354)
(909)
0.03 909
345 📈
(Org: 369)
(906)
0.09 906
346 📈
(Org: 391)
(905)
0.15 905
347 📈
(Org: 387)
(903)
0.13 903
348 📈
(Org: 583)
(890)
0.49 890
349 📈
(Org: 416)
(876)
0.2 876
350 📈
(Org: 356)
(867)
- 867
351 📈
(Org: 392)
(862)
0.11 862
352 📈
(Org: 370)
(856)
0.04 856
353 📈
(Org: 360)
(853)
- 853
354 📈
(Org: 371)
(852)
0.04 852
355 📈
(Org: 393)
(851)
0.1 851
356 📈
(Org: 378)
(847)
0.05 847
357 📈
(Org: 364)
(845)
0.01 845
358 📈
(Org: 400)
(842)
0.12 842
359 📈
(Org: 363)
(839)
- 839
360 📈
(Org: 520)
(838)
0.38 838
361 📈
(Org: 525)
(837)
0.38 837
362 📈
(Org: 429)
(830)
0.21 830
363 📈
(Org: 478)
(818)
0.3 818
364 📈
(Org: 374)
(817)
0.01 817
364 📈
(Org: 374)
(817)
0.01 817
364 📈
(Org: 663)
(817)
0.55 817
367 📈
(Org: 374)
(812)
- 812
368 📈
(Org: 385)
(810)
0.03 810
368 📈
(Org: 402)
(810)
0.09 810
370 📈
(Org: 379)
(801)
- 801
371 📈
(Org: 381)
(798)
- 798
372 📈
(Org: 386)
(795)
0.01 795
373 📈
(Org: 383)
(789)
- 789
374 📈
(Org: 384)
(788)
- 788
374 📈
(Org: 387)
(788)
0.01 788
376 📈
(Org: 389)
(786)
0.01 786
377 📈
(Org: 532)
(784)
0.36 784
378 📈
(Org: 496)
(783)
0.29 783
379 📈
(Org: 476)
(781)
0.27 781
380 📈
(Org: 389)
(780)
- 780
381 📈
(Org: 1148)
(768)
0.79 768
382 📈
(Org: 795)
(765)
0.63 765
383 📈
(Org: 439)
(764)
0.16 764
384 📈
(Org: 417)
(741)
0.06 741
384 📈
(Org: 412)
(741)
0.04 741
384 📈
(Org: 730)
(741)
0.57 741
387 📈
(Org: 401)
(738)
- 738
388 📈
(Org: 649)
(736)
0.48 736
389 📈
(Org: 597)
(734)
0.41 734
390 📈
(Org: 403)
(733)
- 733
390 📈
(Org: 403)
(733)
- 733
392 📈
(Org: 408)
(731)
0.02 731
392 📈
(Org: 414)
(731)
0.02 731
394 📈
(Org: 406)
(730)
- 730
395 📈
(Org: 696)
(729)
0.53 729
396 📈
(Org: 412)
(725)
0.02 725
397 📈
(Org: 427)
(724)
0.08 724
398 📈
(Org: 407)
(722)
- 722
399 📈
(Org: 408)
(719)
- 719
399 📈
(Org: 426)
(719)
0.06 719