301 to 400 Most Popular Boy Baby Names by Pronunciation in the US 2008 - 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: 472)
(1,073)
0.45 1,073
302 📈
(Org: 396)
(1,070)
0.3 1,070
303 📈
(Org: 312)
(1,069)
- 1,069
304 📈
(Org: 323)
(1,068)
0.04 1,068
305 📈
(Org: 314)
(1,066)
0 1,066
306 📈
(Org: 356)
(1,054)
0.17 1,054
307 📈
(Org: 348)
(1,050)
0.11 1,050
308 📈
(Org: 321)
(1,049)
0.01 1,049
309 📈
(Org: 337)
(1,048)
0.07 1,048
310 📈
(Org: 365)
(1,045)
0.19 1,045
311 📈
(Org: 320)
(1,043)
- 1,043
312 📈
(Org: 343)
(1,042)
0.09 1,042
313 📈
(Org: 364)
(1,041)
0.18 1,041
314 📈
(Org: 575)
(1,034)
0.57 1,034
314 📈
(Org: 350)
(1,034)
0.12 1,034
316 📈
(Org: 322)
(1,031)
- 1,031
317 📈
(Org: 325)
(1,022)
0 1,022
317 📈
(Org: 389)
(1,022)
0.24 1,022
317 📈
(Org: 355)
(1,022)
0.14 1,022
320 📈
(Org: 330)
(1,015)
0.02 1,015
321 📈
(Org: 326)
(1,014)
- 1,014
322 📈
(Org: 327)
(1,006)
- 1,006
323 📈
(Org: 329)
(999)
- 999
324 📈
(Org: 504)
(994)
0.45 994
325 📈
(Org: 347)
(993)
0.05 993
326 📈
(Org: 332)
(992)
- 992
326 📈
(Org: 332)
(992)
- 992
328 📈
(Org: 334)
(987)
- 987
329 📈
(Org: 338)
(986)
0.01 986
329 📈
(Org: 368)
(986)
0.16 986
331 📈
(Org: 343)
(973)
0.02 973
331 📈
(Org: 338)
(973)
- 973
333 📈
(Org: 340)
(969)
- 969
334 📈
(Org: 342)
(958)
- 958
335 📈
(Org: 434)
(952)
0.3 952
336 📈
(Org: 751)
(951)
0.69 951
337 📈
(Org: 362)
(938)
0.08 938
337 📈
(Org: 367)
(938)
0.1 938
339 📈
(Org: 380)
(930)
0.13 930
340 📈
(Org: 354)
(923)
0.04 923
341 📈
(Org: 463)
(905)
0.34 905
342 📈
(Org: 353)
(900)
0.01 900
342 📈
(Org: 351)
(900)
- 900
344 📈
(Org: 384)
(889)
0.1 889
345 📈
(Org: 366)
(887)
0.04 887
346 📈
(Org: 357)
(885)
0.01 885
347 📈
(Org: 437)
(877)
0.25 877
348 📈
(Org: 363)
(872)
0.01 872
349 📈
(Org: 358)
(871)
- 871
350 📈
(Org: 361)
(869)
0.01 869
351 📈
(Org: 632)
(863)
0.55 863
352 📈
(Org: 382)
(850)
0.06 850
353 📈
(Org: 402)
(849)
0.14 849
354 📈
(Org: 378)
(846)
0.04 846
355 📈
(Org: 491)
(845)
0.34 845
355 📈
(Org: 371)
(845)
0.02 845
357 📈
(Org: 405)
(843)
0.14 843
358 📈
(Org: 372)
(840)
0.02 840
359 📈
(Org: 397)
(838)
0.11 838
360 📈
(Org: 368)
(833)
- 833
361 📈
(Org: 373)
(832)
0.01 832
362 📈
(Org: 465)
(829)
0.28 829
362 📈
(Org: 439)
(829)
0.22 829
364 📈
(Org: 451)
(828)
0.26 828
365 📈
(Org: 374)
(824)
- 824
366 📈
(Org: 391)
(823)
0.06 823
366 📈
(Org: 375)
(823)
- 823
368 📈
(Org: 683)
(798)
0.56 798
369 📈
(Org: 428)
(793)
0.15 793
370 📈
(Org: 492)
(790)
0.29 790
371 📈
(Org: 386)
(789)
- 789
372 📈
(Org: 845)
(785)
0.67 785
373 📈
(Org: 387)
(784)
- 784
373 📈
(Org: 662)
(784)
0.53 784
375 📈
(Org: 1031)
(783)
0.77 783
376 📈
(Org: 472)
(782)
0.25 782
377 📈
(Org: 398)
(780)
0.05 780
378 📈
(Org: 388)
(779)
- 779
379 📈
(Org: 394)
(777)
0.02 777
380 📈
(Org: 395)
(776)
0.03 776
381 📈
(Org: 415)
(774)
0.08 774
381 📈
(Org: 389)
(774)
- 774
383 📈
(Org: 440)
(773)
0.16 773
384 📈
(Org: 392)
(771)
- 771
385 📈
(Org: 404)
(767)
0.05 767
386 📈
(Org: 425)
(765)
0.11 765
387 📈
(Org: 393)
(764)
- 764
388 📈
(Org: 540)
(763)
0.36 763
389 📈
(Org: 405)
(756)
0.04 756
390 📈
(Org: 429)
(754)
0.1 754
391 📈
(Org: 617)
(749)
0.46 749
392 📈
(Org: 431)
(745)
0.1 745
393 📈
(Org: 416)
(741)
0.04 741
394 📈
(Org: 401)
(735)
- 735
395 📈
(Org: 409)
(731)
0.01 731
396 📈
(Org: 408)
(725)
- 725
397 📈
(Org: 724)
(723)
0.56 723
398 📈
(Org: 417)
(721)
0.02 721
398 📈
(Org: 411)
(721)
- 721
400 📈
(Org: 521)
(720)
0.28 720