| Vito | |
|---|---|
| Municipality | Minglanilla |
| Province | Cebu |
| PSGC code | PH0702232018 |
| Population (2020 est.) | 9,203 |
| Area | 4.2 km² |
| Cell towers | 2 |
| Coverage status | Verified coverage (NTC + crowdsourced) |
| Typhoons since 1980 | 50 (within 100 km) |
Vito is a barangay of Minglanilla, Cebu, Philippines, with an estimated population of 9,203 (WorldPop 2020, corrected zonal estimate). Household income in the area is estimated at ₱36,684 per month; a Starlink satellite subscription (₱4,099/month) would represent approximately 11% of that income.
| Indicator | Value | Source |
|---|---|---|
| Registered cell towers (NTC) | 2 | NTC registry |
| Crowdsourced towers (OpenCelliD) | 1 | OpenCelliD |
| Coverage classification | Verified coverage (NTC + crowdsourced) | Cross-validation |
| Median download (where tested) | 18.5 Mbps | M-Lab |
| Backbone proximity | Near the backbone (within 10 km) | Submarine Cable Map / PeeringDB / DICT |
Estimated household income: ₱36,684/month (modeled from PSA poverty incidence, 13.5% for the municipality). Starlink (₱4,099/month) would consume about 11% of household income, well above common affordability benchmarks.
| Indicator | Value | Source |
|---|---|---|
| Mean elevation | 150 m | FABDEM |
| Mean slope | 22.0° | FABDEM |
| Tree canopy height | 0.0 m | ETH Global Canopy 2020 |
| Travel time to nearest city | 0 min | Malaria Atlas Project |
Since 1980, 50 tropical cyclones have passed within 100 km (NOAA IBTrACS). Satellite records show 0 observed flood event(s) (Global Flood Database). Lightning density is 0.23 strokes/km²/year (WGLC).
Annual average night-time radiance (NASA VIIRS), a proxy for electrification and economic activity:
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).