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Air quality now: Paya Terubong

Malaysia · Penang · 5 cities

Air quality in Penang today The AQI right now, city by city

Right now, Paya Terubong has the cleanest air of the 5 cities we track in Penang (AQI 48, Good), and Bukit Mertajam the worst (AQI 56, Moderate). Paya Terubong has the most tree cover, at 79.0% — #2 of 56 cities measured in Malaysia.

Every city is measured the same way, over the same 2 km around its center: the air quality right now, from ground stations where there are any, and its tree cover.

AQI 52

Average right now

Moderate

US EPA index, across 5 cities
cities tracked
5
average tree cover
48.8%
Malaysia: 38.7%
worst air now: Bukit Mertajam
56
cleanest air now: Paya Terubong
48

Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous, and it reads differently from Malaysia's API (IPU). Measured by Airleaf, refreshed hourly.

Penang · average AQI 52

Air quality today across Penang, city by city

Current air quality and tree cover for cities in Penang, Malaysia
Paya Terubong48Good79.0%—#2 of 56
Bukit Mertajam56Moderate42.3%—#23 of 56
Tasek Glugor53Moderate58.0%—#8 of 56
Bayan Lepas48Good44.1%—#20 of 56
Butterworth54Moderate20.7%12.0K#50 of 56

Air quality is the US AQI from ground monitoring stations via OpenAQ where available, otherwise the Open-Meteo / CAMS model, refreshed hourly. Tree cover is measured within 2 km of each city center from Sentinel-2 imagery; the rank compares every city measured in Malaysia.

Is this the same as Malaysia's API (IPU)?

No. Airleaf shows the US EPA Air Quality Index (AQI), the scale used by IQAir and most air-quality apps. Malaysia's Department of Environment (Jabatan Alam Sekitar) publishes its own Air Pollutant Index, the API or Indeks Pencemar Udara (IPU), every hour for each of its monitoring stations on APIMS (apims.doe.gov.my). Both scales call 0–50 good and 51–100 moderate; above that the IPU runs 101–200 unhealthy, 201–300 very unhealthy and over 300 hazardous. The two use different breakpoints and averaging times, so the numbers for the same hour often differ. For the official IPU reading, check the nearest station on APIMS.

Malaysia's API (IPU) and the AQI, explained

Deforestation · 2001–2025

How much forest has Penang lost?

Since 2001, Penang has lost about 13,300 hectares of forest (about 19,000 football pitches): 29% of the forest it had in 2000. Most of it (98%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.

Forest lost since 2001
13,300 haabout 19,000 football pitches
Share of its forest
29%of what there was in 2000
Cleared for good
13,100 hadeforestation: turned into farms, mines or towns
Forest lost each year in Penang, 2001–2025

Hectares of forest lost each year

Forest lost each year in Penang, 2001–2025. Use the left and right arrow keys to read each year.933

Show the figures as a table
Forest lost each year in Penang, 2001–2025
YearCleared for goodCan grow backTotal
2001135 ha5 ha140 ha
2002495 ha2 ha497 ha
2003185 ha1 ha186 ha
2004422 ha5 ha427 ha
2005511 ha6 ha517 ha
2006577 ha5 ha582 ha
2007310 ha3 ha313 ha
2008324 ha1 ha325 ha
2009689 ha5 ha694 ha
2010926 ha7 ha933 ha
2011592 ha5 ha597 ha
2012691 ha2 ha693 ha
2013375 ha3 ha378 ha
2014910 ha20 ha930 ha
2015517 ha14 ha531 ha
2016673 ha19 ha692 ha
2017667 ha30 ha697 ha
2018530 ha11 ha541 ha
2019495 ha14 ha509 ha
2020474 ha7 ha481 ha
2021510 ha5 ha515 ha
2022300 ha1 ha301 ha
2023913 ha5 ha918 ha
2024387 ha15 ha402 ha
2025471 ha22 ha493 ha

Forest loss has stayed about the same: about 526 hectares a year in 2021–2025, against 584 hectares a year in 2016–2020. The worst year was 2010, when about 933 hectares of forest were lost.

What is causing deforestation in Penang?

  • Farms, pasture and plantationscleared for good55% · 7,370 ha
  • Towns and roadscleared for good36% · 4,830 ha
  • Mining and energycleared for good6.6% · 883 ha

Also: shifting farming, logging, storms, floods and other natural causes, unknown causes.

Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.

Source: Hansen/UMD/Google/USGS/NASA, Global Forest Change (GFC-2025-v1.13); causes: WRI/Google DeepMind drivers of forest loss; both CC BY 4.0, summed by Airleaf for each area. How it's measured

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