EPA AQS air quality monitoring
U.S. Environmental Protection Agency (AirData)
In a RepVector build, this dataset adds environmental and exposure context for a territory.
What this dataset is
Annual summaries of EPA criteria air pollutant monitors — PM2.5, ozone, carbon monoxide, sulfur dioxide, nitrogen dioxide and PM10 — reported at monitoring sites across the U.S. Includes the annual mean, units, number of observations, first maximum value and site location. It is published by U.S. Environmental Protection Agency (AirData) and can be queried at county and state level, refreshed annually. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.
Why it is useful
- Explains geographic clustering of need that demographics alone do not account for.
- Supports risk and siting conversations with published measurements.
Questions it helps answer
- Are there environmental factors concentrating need in part of this market?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Reads emissions and air-quality conditions across a service territory.
Screens sites for environmental exposure before expansion.
Links environmental burden to respiratory and chronic-condition demand.
Flags environmental constraints on a parcel or corridor.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at county runs without you knowing any codes.
- The planner selects EPA AQS air quality monitoring only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from U.S. Environmental Protection Agency (AirData) line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If U.S. Environmental Protection Agency (AirData) suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Monitoring coverage is uneven; absence of a reading is not absence of a condition.
How it fits with the rest of the catalog
Exposure context is interpretive; it should always be read next to health and population measures. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to EPA AQS air quality monitoring:
Other environment datasets
Common questions
What does EPA AQS air quality monitoring contain?
Annual summaries of EPA criteria air pollutant monitors — PM2.5, ozone, carbon monoxide, sulfur dioxide, nitrogen dioxide and PM10 — reported at monitoring sites across the U.S. Includes the annual mean, units, number of observations, first maximum value and site location. It is published by U.S. Environmental Protection Agency (AirData) at county and state grain.
How often is it refreshed?
U.S. Environmental Protection Agency (AirData) publishes on a annually cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.