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Ranking

Densest barangays in Pampanga

Ranks 501 to 538 of 538 barangays in Pampanga. 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 Pampanga
Densest barangays in Pampanga, ranks 501 to 538
RankNameCity or municipalityPeople, 2024People, 2020Change since 2020People per km²
501Santo RosarioCandaba, Pampanga1,5021,338+12.3%about 280
502San AntonioSasmuan, Pampanga3,0792,539+21.3%about 266
503Vizal San PabloCandaba, Pampanga2,5392,824−10.1%about 256
504SuaMasantol, Pampanga1,8101,835−1.4%about 256
505Mitla ProperPorac, Pampanga1,6371,766−7.3%about 255
506Cuayang BugtongCandaba, Pampanga1,9352,113−8.4%about 247
507NabuclodFloridablanca, Pampanga3,2064,413−27.4%about 245
508CastuliMacabebe, Pampanga1,2851,081+18.9%about 242
509Sapang KawayanMasantol, Pampanga3,4563,251+6.3%about 241
510MalauliMasantol, Pampanga1,9951,939+2.9%about 240
511CandatingArayat, Pampanga5,8755,588+5.1%about 236
512DoloresBacolor, Pampanga661724−8.7%about 233
513MawacatFloridablanca, Pampanga2,1061,727+22.0%about 217
514MaliwaluBacolor, Pampanga3,4831,438+142.2%about 189
515BarangcaCandaba, Pampanga2,2012,148+2.5%about 185
516PangclaraCandaba, Pampanga1,7641,679+5.1%about 177
517ManiangoMinalin, Pampanga1,7382,077−16.3%about 176
518Bancal PugadLubao, Pampanga1,6441,374+19.7%about 174
519San Jose GumiLubao, Pampanga2,4582,334+5.3%about 174
520TalbaBacolor, Pampanga393168+133.9%about 166
521PotreroBacolor, Pampanga979804+21.8%about 159
522MesalipitBacolor, Pampanga25675+241.3%about 155
523InararoPorac, Pampanga1,225828+48.0%about 154
524PaliguiCandaba, Pampanga1,7571,631+7.7%about 129
525Batang 1stSasmuan, Pampanga348299+16.4%about 128
526ConsueloMacabebe, Pampanga3,1632,669+18.5%about 121
527ConcepcionBacolor, Pampanga289223+29.6%about 114
528Bancal SinubliLubao, Pampanga820800+2.5%about 111
529MagumbaliCandaba, Pampanga2,4462,414+1.3%about 104
530CalumpangMabalacat City, Pampanga3,2612,017+61.7%about 94
531DuatBacolor, Pampanga317358−11.5%about 91
532BalasBacolor, Pampanga570554+2.9%about 82
533CamiasPorac, Pampanga1,5862,431−34.8%about 51
534ManualiPorac, Pampanga1,160980+18.4%about 32
535La PazArayat, Pampanga1,033964+7.2%about 28
536Villa MariaPorac, Pampanga1,0441,120−6.8%about 27
537Sapang UwakPorac, Pampanga1,5611,398+11.7%about 23
538DiazPorac, Pampanga0443−100.0%about 0

Density is a place's 2024 people divided by its land area. A barangay has no official area: Scene measures the area inside its border on UN OCHA's map, so its density is approximate. A barangay with no mapped border is not ranked.

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: Central Luzon (OpenSTAT table 0031A6DTPH2). 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
  3. 3.Philippine Statistics Authority, from the Land Management Bureau (DENR). Population, Land Area, Population Density, and Percent Change in Population Density by Region, Province/Highly Urbanized City, and City/Municipality: 2015, 2020, and 2024 (OpenSTAT table 0221A6DLPD0). Published August 7, 2026. Read by Scene October 2, 2026. CC BY (PSA Terms of Use). Open the source
  4. 4.UN OCHA, from the PSA and NAMRIA. Philippines: Subnational Administrative Boundaries (COD-AB), barangay layer. Published February 13, 2025. Read by Scene September 25, 2026. CC BY-IGO 3.0. 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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