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What Phnom Penh Air Stations Say About Housing

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How Phnom Penh's Monitoring Network Is Built — and Why the Count Changes

Phnom Penh does not have one permanent station count that can be quoted without a date and a definition. In an April 5, 2026 report citing the Ministry of Environment's first-quarter statement, the Phnom Penh Post recorded 59 monitoring locations nationwide and 12 fixed stations in the capital. That is a useful Q1 2026 snapshot, not a timeless inventory.

GGGI's earlier assessment described a different configuration: 50 monitoring stations across Cambodia, including 10 reference stations and a wider network of lower-cost sensors. The same assessment treated reference equipment and sensors as different parts of the monitoring system, with different maintenance and quality-control needs. A count of 50 in an earlier technical report, 59 locations in a 2026 ministry statement and 12 fixed Phnom Penh stations can therefore all be internally consistent once the date, geography and station class are kept separate.

As of September 29, 2026, the Ministry of Environment's public air-quality service is online, but the web interface loads its data through JavaScript. The accessible static page does not expose a complete live census with coordinates, instrument models and last timestamps for every site. A current Cambodia Ministry of Environment contributor profile and September IQAir city maps do, however, confirm several MoE points in Phnom Penh, including the Institute of Technology of Cambodia, Wat Langka Front Garden, the University of Health Sciences, Chroy Changvar Cannon Roundabout Garden, Ounalom Pagoda Front Garden and Makro Superstore Compound.

The table below should therefore be read as a dated, confirmed subset rather than a replacement for the ministry's live registry. It also keeps an independent AirGradient sensor visibly separate from MoE sites. This distinction matters because an aggregator can place government, school, private and community sensors on the same map, while the number of visible pins says nothing by itself about even spatial coverage across the city.

A Pin on the Map Does Not Mean Continuous Data

A map pin answers a limited question: a data source exists there, or existed there recently enough to remain visible. For housing comparisons, that is not enough. You also need the provider or owner, the instrument class when published, when reporting began, the latest timestamp and whether there were long interruptions. Otherwise two neat-looking averages may represent different operating periods rather than different neighbourhood conditions.

For the MoE sites visible through current IQAir contributor and city pages, there is clear evidence that the network is reporting in 2026; many of those pages mark the stations as established in April 2026. What is not exposed through the ministry's static web view is a complete raw history for each site. This page therefore does not invent a 90-day completeness percentage, and it does not assign precise first or last observations where the source does not publish them. A current value on an aggregator helps establish that a feed is alive, but it is not a substitute for a gap history.

The AUPP Liger Leadership Academy sensor in OpenAQ shows why that distinction matters. OpenAQ identifies it as a stationary AirGradient ONE Generation 9 measuring PM2.5 among other parameters and reports data beginning on August 15, 2025. At the September 29, 2026 check, however, the page described its latest update only as about seven months ago. A sensor can therefore remain discoverable on a map long after it has stopped being useful for today's comparison.

A missing period is not evidence of clean or dirty air; it is simply missing measurement. The same logic applies to averages: sites with different operating windows should not be ranked mechanically. Cambodia's GGGI-supported QA/QC procedure explicitly treats maintenance, calibration, data review and siting documentation as part of producing reliable monitoring data, which is why freshness and provenance matter as much as the number shown on the map.

Which Monitoring Points Are Confirmed at the Snapshot Date

Snapshot: September 29, 2026. This is a confirmed portion of the public network, not a claim to reproduce the full official registry: the MoE service does not expose the complete live census in its accessible static interface. Government sites are attributed to the operator, but no instrument class is assigned unless published.

Scenario 1 / 2

Network / sensor

Institute of Technology of Cambodia (ITC)
MoE · instrument not confirmed
Wat Langka Front Garden
MoE · instrument not confirmed
Olympic Stadium Roundabout Garden
MoE · instrument not confirmed
University of Health Sciences (UHS)
MoE · instrument not confirmed
Chroy Changvar Cannon Roundabout Garden
MoE · instrument not confirmed
Ounalom Pagoda Front Garden
MoE · instrument not confirmed
Phnom Penh Capital Department of Environment
MoE · instrument not confirmed
Makro Superstore Compound, Dangkao
MoE · instrument not confirmed
Ministry of Environment (MOE)
MoE · instrument not confirmed
Royal University of Agriculture (RUA)
MoE · instrument not confirmed
AUPP Liger Leadership Academy
Independent · AirGradient ONE Gen 9
Scenario 2 / 2

Data window

Institute of Technology of Cambodia (ITC)
IQAir: listed since Apr 2026; feed visible in Sep 2026
Wat Langka Front Garden
IQAir: listed since Apr 2026; feed visible in Sep 2026
Olympic Stadium Roundabout Garden
IQAir: listed since Apr 2026; feed visible in Sep 2026
University of Health Sciences (UHS)
IQAir: listed since Apr 2026; feed visible in Sep 2026
Chroy Changvar Cannon Roundabout Garden
IQAir: listed since Apr 2026; feed visible in Sep 2026
Ounalom Pagoda Front Garden
IQAir: listed since Apr 2026; feed visible in Sep 2026
Phnom Penh Capital Department of Environment
Dangkao: feed visible in Sep 2026; MoE history not exposed
Makro Superstore Compound, Dangkao
IQAir: listed since Apr 2026; feed visible in Sep 2026
Ministry of Environment (MOE)
IQAir: listed since Apr 2026; feed visible in Sep 2026
Royal University of Agriculture (RUA)
IQAir: listed since Apr 2026; feed visible in Sep 2026
AUPP Liger Leadership Academy
OpenAQ: since Aug 15, 2025; last update about 7 months ago

Compare PM2.5 on the Same Scale and Time Window

PM2.5 concentration and AQI are not interchangeable. PM2.5 concentration is a physical measurement, normally expressed in micrograms per cubic metre. AQI is an index calculated from pollutant concentrations using a particular set of breakpoints and rules, then often translated into a colour or category. A phrase such as “AQI 25 µg/m³” therefore mixes an index with the unit that belongs to concentration.

The distinction becomes important as soon as two apps are open. IQAir can display US AQI⁺ alongside PM2.5 concentration, while the U.S. EPA calculates its AQI by mapping pollutant concentrations to defined index breakpoints over specified averaging periods. That does not establish the formula used by Cambodia's official service. In the primary material accessible for this review, we did not find a document robust enough to reconstruct an official Cambodian AQI formula from colours or from a third-party platform.

For station-to-station comparison, the cleaner starting point is one pollutant, one unit and one time window. An hourly PM2.5 reading at one site should not be compared with a 24-hour average at another as if the difference were purely geographic. A quarterly city average is further removed again: it cannot be placed beside a current reading near a building and treated as the same kind of observation.

Aggregator pages also show how dynamic the visible network can be. September 2026 IQAir snapshots for Phnom Penh displayed different numbers of available stations and contributors at different update times, ranging from the high teens to more than twenty visible points on individual crawls. That does not mean physical monitors are being installed and removed every few hours; feeds, providers and current availability change what the platform can show. Matching colours across two apps therefore do not prove identical source data, and different colours do not automatically prove that one sensor is wrong.

When an index methodology is unclear, the most defensible common denominator is the labelled PM2.5 concentration with its date, time and averaging period. AQI remains useful as a communication layer, but it is not a universal measurement unit that can be moved between platforms without checking the scale behind it.

Compare readings on the same basis

Complete0 of 4
Compare readings on the same basisChecklist0 of 4

How Far Can a Station Reading Be Applied to an Address?

The nearest station is often a sensible place to start, but distance does not create a universal reliability radius. Two addresses a kilometre apart can sit in different local environments: one beside heavy traffic or active construction, another on a more open street with better airflow. The reverse can also happen, where a slightly more distant station is a better indicator of the broader urban background because the closest monitor is strongly affected by a hyperlocal source.

The U.S. EPA's sensor-siting guidance describes the same technical principle. Monitoring goals matter, and buildings, trees, dusty roads, exhausts and other local sources can change how representative a site is. A sensor intended to describe broader ambient conditions needs free airflow and should not be dominated by one highly local source. This is international technical practice rather than Cambodian law, but it makes clear why a rule such as “within two kilometres is reliable” would be artificial.

For a condo near Wat Langka, the useful question is not simply how many metres separate the building from Wat Langka Front Garden. It is where the monitor sits relative to traffic, surrounding structures and airflow, and whether the building faces similar conditions. The same reasoning applies in Chroy Changvar, Dangkao or Mean Chey: a short line on a map shows geographic proximity, not a pollution-dispersion model.

For a housing decision, it can also help to separate the station question from infrastructure and local effects around a property. Construction dust, machinery, congestion and temporary works can create building-level conditions that a city monitor was never designed to represent.

Distance should therefore remain context, not a precision score. If a network does not publish the purpose of a site, its installation details or enough information about its surroundings, there is no defensible basis for assigning a condo the value of the “nearest station” or ranking neighbourhoods from a handful of heterogeneous pins.

Expectation and reality

Expectation

The nearest station shows the air at my building.

Reality

It measures its own site; proximity does not guarantee the same local conditions.

TipCheck siting, local sources, wind and the time window.

Expectation

The same colour or AQI in two apps means the same measurement.

Reality

Platforms may use different stations, update intervals and AQI scales.

TipCompare PM2.5 in the same unit and time window.

Expectation

More pins mean better official coverage.

Reality

An aggregator can mix government, school, private and community sensors.

TipIdentify the owner and sensor class first.

Expectation

Outdoor PM2.5 tells me the air inside the apartment.

Reality

Indoor levels depend on the building, windows, ventilation, filtration and indoor sources.

TipIndoor conditions need their own measurement context.

What the Data Can Actually Change in a Housing Decision

Monitoring is most useful when it separates three levels of a housing decision instead of pretending to rank buildings. At the city-and-day level, several fresh, comparable stations can show whether a PM2.5 episode is broad or confined to one feed. Directional agreement matters: if multiple stations rise together over the same window, that is stronger evidence of a citywide change than a single isolated spike.

At the neighbourhood and street level, the question changes. Is there an active station nearby whose setting resembles the environment you care about? A major road, construction site, generator, open burning source or exhaust can make conditions around one façade different from the broader background. If you are comparing BKK1 with Tonle Bassac, uneven station coverage is not evidence that one area is cleaner; it is a limit on how confidently the network can support that claim.

At the apartment level, the outdoor station becomes only one input. EPA guidance on indoor particulate matter notes that outdoor particles enter through windows, doors, cracks and ventilation, while indoor concentrations also depend on filtration and sources generated inside. Two units in the same building can therefore have different air-exchange patterns even under the same outdoor conditions. This is where how floor level changes the conditions of a specific apartment can be relevant without turning height into an automatic “cleaner air” claim.

The same caution applies to the façade and windows. Window orientation and apartment ventilation influence contact with outdoor air and the way the unit is aired, but they do not produce a PM2.5 number on their own. If indoor air is a decisive criterion, a properly placed indoor sensor observed over a representative period provides evidence that an outdoor station cannot supply for a 25th-floor living room.

The practical value of the map is therefore straightforward. It can answer “what is happening to outdoor air in the city and around this part of town?” reasonably well when the data are fresh and comparable. It is weaker at “what is happening at my façade?” and cannot answer “what is the air inside this apartment?” without indoor evidence. That boundary does not make the monitoring network less useful; it makes the network useful for the questions it was actually built to answer.

Match the conclusion to the available observations

Term

Several stations move together

Use them to assess a wider episode over the same observation window. This is not a measurement inside the chosen apartment.

Term

One station stands out

First examine its timestamp, gaps and siting. One outlying value does not establish a cause or rank the district.

Term

You are choosing between two homes

Add a site assessment of nearby roads, building works and window positions. Even the nearest station cannot establish conditions at every neighbouring address.

Common Questions About Air Stations and Housing

Can these stations identify Phnom Penh's cleanest neighbourhood?

That would require sufficiently comparable spatial coverage, matching time windows and understood data quality. The current public snapshot is uneven, while aggregators combine several networks and owners. This page therefore does not rank neighbourhoods. The network is more defensible for citywide episodes and local context than for declaring a single cleanest area.

Is the nearest station always the most useful one for my building?

Not necessarily. A nearby sensor beside a dusty road, exhaust or another hyperlocal source may describe that micro-environment more than the wider area. A slightly more distant site can sometimes represent the urban background better. Distance works only alongside siting, local sources, wind and the measurement window.

Can outdoor PM2.5 tell me the air quality inside an apartment?

Outdoor PM2.5 is useful background, not a ready-made indoor value. Particles enter through windows, doors, cracks and ventilation, while filtration and indoor sources also shape the result. Floor and façade can change contact with outdoor air, but one outdoor station cannot calculate the concentration in a particular room. Indoor conditions need their own measurement context.

Why can MoE, IQAir and OpenAQ show different numbers?

The platforms may ingest different networks, refresh at different times and show different subsets of stations. PM2.5 in µg/m³ is also not the same thing as AQI, and index formulas can differ. OpenAQ, for example, exposes the provider and instrument for independent AirGradient sensors, while IQAir combines many contributors on one map. A fair comparison needs the same pollutant, unit, time window and clear data provenance.

Expert view

Elvira Shamuratova

Before I use any map reading in a housing decision, I want to know who runs the station, how recently it reported, and how it is sited. A nearby green reading can still miss a road, construction site, or building-specific condition, while a short citywide spike does not define the apartment for months. The map is useful context; indoor air and a specific unit still need their own evidence.

Elvira Shamuratova
NovAsia Cambodia expert
Expert profile →

Sources and check dates

Show sources and methodology5 checked sources
  • Ministry of Environment — Air Quality Cambodia

    Primary source for the current official network. On September 29, 2026 the public page was online, but live data load through JavaScript, so the complete static registry and timestamps are not exposed.

  • Global Green Growth Institute — Standard Operating Procedure for Quality Assurance and Quality Control of Air Quality in Cambodia

    Supports the Cambodia-specific QA/QC context, including maintenance, calibration, siting and monitoring-data management.

  • GGGI — Situation Assessment Report on Air Quality Monitoring in Cambodia

    Historical network snapshot: the assessment described 50 monitoring stations, including 10 reference stations and low-cost sensors. Used only to explain network structure and change, not as a current 2026 census.

  • Phnom Penh Post — Environment ministry report air quality 'good' in Q1

    Secondary record of the MoE Q1 2026 statement: 59 monitoring locations nationwide and 12 fixed stations in Phnom Penh. Used strictly as a dated snapshot.

  • OpenAQ Explorer — AUPP Liger Leadership Academy

    Independent stationary AirGradient sensor: OpenAQ lists an AirGradient ONE Generation 9, PM2.5, reporting since August 15, 2025 and, at this check, an update about seven months ago. It illustrates why a visible map pin is not proof of freshness.

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