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Ranking

Largest barangays in Northern Samar

Ranks 401 to 500 of 569 barangays in Northern Samar. The first page has the leader.

People are counted as of July 1, 2024 (the 2024 Census of Population) and May 1, 2020 (the 2020 Census of Population and Housing), both by the Philippine Statistics Authority.

Open Northern Samar
Largest barangays in Northern Samar, ranks 401 to 500
RankNameCity or municipalityPeople, 2024People, 2020Change since 2020
401CataoganLavezares, Northern Samar535487+9.9%
402Claro M. RectoCatubig, Northern Samar534475+12.4%
403SangcolLaoang, Northern Samar533498+7.0%
404Zone 4San Roque, Northern Samar532629−15.4%
405TasvillaAllen, Northern Samar531518+2.5%
406GibatanganLaoang, Northern Samar530510+3.9%
407Barangay 3Catubig, Northern Samar527563−6.4%
408CabagnganLaoang, Northern Samar527534−1.3%
409PasabuenaVictoria, Northern Samar521418+24.6%
410San AndresLas Navas, Northern Samar516497+3.8%
411Santa CatalinaMondragon, Northern Samar509508+0.2%
412Poblacion Barangay 2Capul, Northern Samar506512−1.2%
413Barangay 2Catubig, Northern Samar506484+4.6%
414MagongonCatubig, Northern Samar506446+13.5%
415AguinaldoCatarman, Northern Samar503458+9.8%
416PangdanLaoang, Northern Samar502507−1.0%
417BugtosanLas Navas, Northern Samar502421+19.2%
418PacoLas Navas, Northern Samar501504−0.6%
419San JoseLavezares, Northern Samar500473+5.7%
420Poblacion Barangay 3Capul, Northern Samar497499−0.4%
421CanyomanaoLaoang, Northern Samar497531−6.4%
422San NicolasSan Antonio, Northern Samar497514−3.3%
423Cade-anGamay, Northern Samar496539−8.0%
424San AntonioLaoang, Northern Samar496510−2.8%
425SalvacionCatarman, Northern Samar493514−4.1%
426MabiniLas Navas, Northern Samar493515−4.3%
427LenoyahanCatubig, Northern Samar490382+28.3%
428CaghilotSilvino Lobos, Northern Samar490455+7.7%
429GeguintaLas Navas, Northern Samar486406+19.7%
430SalvacionLavezares, Northern Samar486506−4.0%
431BuenasuerteVictoria, Northern Samar484498−2.8%
432SilaSan Vicente, Northern Samar480449+6.9%
433MalidongGamay, Northern Samar478527−9.3%
434MaboloCatarman, Northern Samar471483−2.5%
435GubaCatarman, Northern Samar469513−8.6%
436IgotPambujan, Northern Samar469819−42.7%
437San AntonioCatubig, Northern Samar464463+0.2%
438GiguimitanSilvino Lobos, Northern Samar463419+10.5%
439GuibwanganCatubig, Northern Samar459451+1.8%
440SampaguitaCatarman, Northern Samar455446+2.0%
441KailinganRosario, Northern Samar455338+34.6%
442Poblacion Barangay 4Capul, Northern Samar451514−12.3%
443San MiguelLope De Vega, Northern Samar450379+18.7%
444HinabanganMondragon, Northern Samar448449−0.2%
445RizalGamay, Northern Samar447480−6.9%
446CagogobnganCatubig, Northern Samar445515−13.6%
447Cag-aguingayLope De Vega, Northern Samar442342+29.2%
448CampedicoPalapag, Northern Samar441454−2.9%
449Santa RitaAllen, Northern Samar440380+15.8%
450San RomanVictoria, Northern Samar438437+0.2%
451SibunotLaoang, Northern Samar433452−4.2%
452San JoseLope De Vega, Northern Samar432396+9.1%
453CagbigajoPambujan, Northern Samar432576−25.0%
454TinoblanLaoang, Northern Samar431457−5.7%
455YapasLaoang, Northern Samar430433−0.7%
456Gecbo-anSilvino Lobos, Northern Samar425467−9.0%
457H. JolejoleLas Navas, Northern Samar424406+4.4%
458PerezLas Navas, Northern Samar419437−4.1%
459P. RebadullaCatubig, Northern Samar418459−8.9%
460AbatonLaoang, Northern Samar418513−18.5%
461Vienna MariaCatubig, Northern Samar417308+35.4%
462CabarasanGamay, Northern Samar414478−13.4%
463GeracdoLas Navas, Northern Samar414387+7.0%
464San IsidroLavezares, Northern Samar411374+9.9%
465MaraganoPalapag, Northern Samar411330+24.6%
466San PascualCatarman, Northern Samar4064060.0%
467TarusanLaoang, Northern Samar405374+8.3%
468AguadaRosario, Northern Samar405332+22.0%
469San AntonioLas Navas, Northern Samar398385+3.4%
470CabariwanPalapag, Northern Samar397588−32.5%
471BurgosMapanas, Northern Samar396417−5.0%
472MaghipidLope De Vega, Northern Samar392453−13.5%
473InanahawanPambujan, Northern Samar390616−36.7%
474AcaciaCatarman, Northern Samar389223+74.4%
475BonifacioCatubig, Northern Samar388420−7.6%
476CalantiaoBobon, Northern Samar387379+2.1%
477GuyoLas Navas, Northern Samar387381+1.6%
478ImeldaAllen, Northern Samar384376+2.1%
479Lapu-lapuCatarman, Northern Samar384365+5.2%
480DoloresLas Navas, Northern Samar384379+1.3%
481CularimaCatarman, Northern Samar383294+30.3%
482Jose Abad SantosBobon, Northern Samar382374+2.1%
483Pio Del PilarLapinig, Northern Samar381405−5.9%
484PalanasLas Navas, Northern Samar379566−33.0%
485BalugoLas Navas, Northern Samar376362+3.9%
486TubigdanaoSan Jose, Northern Samar375390−3.9%
487San JulianCatarman, Northern Samar374396−5.6%
488San IsidroSilvino Lobos, Northern Samar374405−7.7%
489BagacayLapinig, Northern Samar370365+1.4%
490BalicuatroLavezares, Northern Samar370334+10.8%
491GebalagnanCatarman, Northern Samar365423−13.7%
492Barangay 4Catubig, Northern Samar365386−5.4%
493CagmanabaMondragon, Northern Samar364332+9.6%
494AcedilloVictoria, Northern Samar364330+10.3%
495NabuloCatubig, Northern Samar363350+3.7%
496Jose P. RizalCatarman, Northern Samar361493−26.8%
497BonifacioGamay, Northern Samar361475−24.0%
498MatelaragLas Navas, Northern Samar352370−4.9%
499BaludSilvino Lobos, Northern Samar352297+18.5%
500San AntonioGamay, Northern Samar349394−11.4%

Sources

Every count here is the PSA's own, for the place as the PSA names it today. The change and the order are Scene's arithmetic on those counts. How Scene works out the rest.

  1. 1.Philippine Statistics Authority. Total Population, Household Population, and Number of Households by Province, City, Municipality, and Barangay as of 01 July 2024: Eastern Visayas (OpenSTAT table 0081A6DTPH7). Published August 5, 2026. Read by Scene October 2, 2026. CC BY (PSA Terms of Use). Open the source
  2. 2.Philippine Statistics Authority. Philippine Standard Geographic Code (PSGC), 4th Quarter 2022: Publication Datafile, with the 2015 and 2020 census counts (the PSA's file, as the Internet Archive keeps it). Published December 31, 2022. Read by Scene October 2, 2026. CC BY (PSA Terms of Use). Open the source

Scene works out the rest from these sources: growth rates, shares, areas, densities, coordinates, neighbours and distances. How.

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