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Santa Rosa

Barangay in Alaminos, Laguna · Internet connectivity profile
Santa Rosa
MunicipalityAlaminos
ProvinceLaguna
PSGC codePH0403401015
Population (2020 est.)4,544
Area4.4 km²
Cell towers8
Coverage statusCrowdsourced signal only (no registered tower)
Typhoons since 198063 (within 100 km)

Santa Rosa is a barangay of Alaminos, Laguna, Philippines, with an estimated population of 4,544 (WorldPop 2020, corrected zonal estimate). Household income in the area is estimated at ₱43,918 per month; a Starlink satellite subscription (₱4,099/month) would represent approximately 9% of that income.

Connectivity

IndicatorValueSource
Registered cell towers (NTC)0NTC registry
Crowdsourced towers (OpenCelliD)8OpenCelliD
Coverage classificationCrowdsourced signal only (no registered tower)Cross-validation
Median download (where tested)17.8 MbpsM-Lab
Backbone proximity25 to 50 km from the backboneSubmarine Cable Map / PeeringDB / DICT

Affordability

Estimated household income: ₱43,918/month (modeled from PSA poverty incidence, 7.5% for the municipality). Starlink (₱4,099/month) would consume about 9% of household income.

Geography and environment

IndicatorValueSource
Mean elevation199 mFABDEM
Mean slope16.4°FABDEM
Tree canopy height0.0 mETH Global Canopy 2020
Travel time to nearest city1 minMalaria Atlas Project

Natural hazard exposure

Since 1980, 63 tropical cyclones have passed within 100 km (NOAA IBTrACS). Satellite records show 0 observed flood event(s) (Global Flood Database). Lightning density is 0.20 strokes/km²/year (WGLC).

Night-time light trend, 2012 to 2024

Annual average night-time radiance (NASA VIIRS), a proxy for electrification and economic activity:

20122024radiance 0.52 to 2.71 nW
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Sources

NTC tower registry · OpenCelliD · WorldPop 2020 (100 m, corrected zonal statistics) · PSA Small Area Estimates · NASA VIIRS · NOAA IBTrACS v04 · Global Flood Database · ETH Global Canopy Height · FABDEM · Malaria Atlas Project · WGLC lightning climatology · Microsoft Global ML Building Footprints · Starlink Philippines published pricing. Methodology: data fused at barangay level using PSGC boundaries (2023).

Last updated 3 July 2026 · Home · Terms & data policy · Facts reported neutrally; deployment analysis is available on request.