An Environmental Health Needs Assessment (EHNA) is a systematic evaluation of the environmental exposures affecting a community's health, conducted with the same analytical discipline as a Community Health Needs Assessment. An EHNA examines air quality, drinking water contamination, toxic releases, pesticide exposure, climate hazards, and the built environment, and connects those exposures to the disease burden, provider capacity, and social and economic conditions of the population served.
An EHNA is not a replacement for a CHNA. It is the environmental layer that most CHNAs are missing.
The gap an EHNA fills
Read across published CHNAs from recent cycles and a consistent pattern appears: demographics, chronic disease prevalence, provider access, and social determinants are documented carefully. Environmental exposure is rarely treated with the same analytical seriousness, when it appears at all. The reasons are structural, and we cover them in detail in our cornerstone on choosing a CHNA methodology: the dominant assessment methodologies were not designed to integrate environmental exposure as a primary analytical dimension.
The consequence is that most communities' formal health needs documentation says little about what their residents breathe, drink, and live near. Respiratory disease prevalence gets documented; the PM2.5, ozone, wildfire smoke, and agricultural dust context for that prevalence does not. Cancer incidence gets documented; the toxic release and drinking water contamination context does not. An EHNA exists to close that gap deliberately rather than leaving it to whether a community member happens to raise an environmental concern during input sessions.
What an EHNA examines
An EHNA evaluates a defined community across the environmental dimensions for which credible data exists. In practice that means at least the following.
Air quality
Ambient criteria pollutants (PM2.5, ozone, and others) from regulatory monitoring networks such as EPA AQS, plus wildfire smoke exposure days, which have become a dominant air quality driver in much of the western United States. Where available, traffic proximity and diesel particulate estimates add the near-roadway exposure layer.
Drinking water
Violations and contaminant detections from EPA's Safe Drinking Water Information System (SDWIS) and ECHO, plus emerging contaminants such as PFAS from UCMR5 monitoring. Private well dependence matters here: populations outside regulated public water systems are invisible to violation data and need separate treatment.
Toxic releases and hazardous sites
Industrial releases from EPA's Toxics Release Inventory, proximity to Superfund and brownfield sites, and, in states with the data infrastructure to support it, agricultural chemical applications. California's section-level Pesticide Use Reporting system is the strongest example of the latter; we wrote about what it makes possible here.
Climate hazards
Extreme heat exposure, flood risk, wildfire risk, and severe weather vulnerability, drawn from sources such as FEMA's National Risk Index and First Street Foundation. Climate hazards belong in an EHNA because they are environmental exposures with direct health pathways: heat and cardiovascular mortality, flooding and waterborne illness, wildfire smoke and respiratory disease.
The built environment
Housing age (a lead exposure proxy), green space access, and land use patterns that shape exposure. Housing age is the most underused of these: pre-1978 housing stock is the dominant predictor of childhood lead exposure, and the data is freely available in the American Community Survey.
An EHNA does not stop at cataloging exposures. The analytical core is connecting exposure to vulnerability: identifying where environmental risk converges with elevated disease burden, thin provider capacity, and hard social and economic conditions. A county with poor air quality and a robust pulmonology supply is a different problem from a county with the same air quality and no pulmonologist. The convergence is what should drive priority-setting.
How an EHNA relates to a CHNA
For tax-exempt hospitals, the Community Health Needs Assessment is a regulatory obligation under IRS Section 501(r)(3), conducted every three years with community input and a documented methodology. We cover the full framework in our 501(r)(3) cornerstone.
An EHNA fits inside that framework rather than alongside it. The Treasury guidance accompanying the 501(r) regulations explicitly recognizes that significant health needs may include behavioral, environmental, and social factors that influence health. Environmental health needs are valid significant health needs under the regulation. A hospital that identifies wildfire smoke exposure, drinking water contamination, or pesticide drift as a prioritized significant health need, and addresses it in its implementation strategy, is doing exactly what the regulation contemplates.
In practice, an EHNA can take three forms relative to a CHNA:
The first is an integrated dimension, where environmental exposure is scored and analyzed as a primary dimension within the CHNA methodology itself, alongside disease burden, provider access, and social and economic conditions. This is the strongest form, because the environmental findings flow directly into the CHNA's prioritization and implementation strategy.
The second is a companion assessment, where the EHNA is conducted as a distinct analytical product that feeds the CHNA's identification of significant health needs. This works for organizations whose existing CHNA process is locked into a methodology that cannot easily absorb a new dimension mid-cycle.
The third is a standalone assessment, conducted outside any CHNA cycle by organizations without a 501(r)(3) obligation: public health departments, FQHCs, community organizations, and researchers. A county health department evaluating cumulative environmental burden across its census tracts is conducting an EHNA whether or not it uses the term.
Who should conduct an EHNA
The communities where an environmental health needs assessment changes the analytical picture most are the ones where environmental exposure is plausibly a driver of documented health outcomes. Concretely:
Agricultural regions, where pesticide application, agricultural dust, and farmworker occupational exposure intersect with respiratory and dermatological disease burden. Industrial corridors and fence-line communities near refineries, chemical plants, and major freight routes. Wildfire-affected regions across the western United States, where smoke exposure days have risen sharply over the past decade. Communities with aging infrastructure, where pre-1978 housing and legacy water systems create lead exposure pathways. Extreme heat regions, particularly where heat exposure converges with cardiovascular disease prevalence and cardiology provider shortages, a pattern we documented across 568 US counties.
Organizationally, the natural conductors of an EHNA are the same organizations that conduct or contribute to CHNAs: hospital community benefits teams, CHNA consultants, county and district public health departments, FQHCs (particularly Section 330(g) migrant and seasonal worker health centers, whose populations carry distinct occupational environmental exposures), and academic researchers in environmental health and health services research.
What data an EHNA requires
The data foundation for a credible environmental health needs assessment in the United States is largely federal and free, supplemented by state systems where they exist. The core sources: EPA AQS for ambient air quality, EPA TRI for toxic releases, EPA SDWIS and ECHO for drinking water, UCMR5 for PFAS, FEMA National Risk Index and First Street Foundation for climate hazards, Census ACS for housing age and built environment proxies, CDC PLACES and CDC WONDER for the health outcome layer, and HRSA and NPPES for the provider capacity layer.
Two practical warnings about this data foundation.
The first is resolution. Most federal environmental data is usable at the county level and often at the tract level, but exposure is hyperlocal. A county-level air quality average can mask a fence-line community's reality entirely. The strongest EHNAs work at the finest grain the data supports and are explicit about where the grain is too coarse to capture known local conditions. State data systems sometimes close this gap; California's section-level pesticide reporting is the leading example.
The second is volatility. The federal environmental data landscape has been unusually unstable since 2025. EJScreen was removed from EPA's site, several CDC surveillance systems were paused, and other datasets changed configuration. We documented the disruptions and what they mean for assessment work in our piece on building CHNAs that do not break when datasets do. An EHNA methodology section should record source vintages explicitly and avoid single-source dependence for any scored dimension.
Methodology considerations
An environmental health needs assessment inherits the same methodology questions as a CHNA, with one addition: how to combine multiple environmental indicators into something decision-useful without flattening them into a single number that hides the drivers.
Our position, argued at length in the methodology cornerstone, is that convergence detection handles this better than weighted composite scoring for environmental work specifically. Environmental exposures are heterogeneous: a drinking water violation and a wildfire smoke exposure are not interchangeable units that average meaningfully. What matters for priority-setting is where exposures stack, on whom, and against what underlying vulnerability. A methodology that flags the convergence of elevated environmental risk with elevated disease burden and thin provider capacity, while keeping each dimension visible, gives an implementation strategy something specific to act on.
Whatever methodology an EHNA uses, the documentation standard is the same as for a CHNA: the community definition, the indicators selected and why, the data sources and vintages, the scoring or prioritization logic, and the known limitations, recorded plainly enough that a skeptical reviewer can follow the chain from data to conclusion.
How Banana Analytics fits
The Banana Analytics platform was built around the premise that environmental health belongs inside community health assessment rather than beside it. The platform scores all 3,222 US counties and more than 74,000 census tracts across four dimensions (Environmental Risk, Disease Burden, Provider Gap, Social and Economic Conditions), with the Environmental Risk dimension fusing EPA AQS air quality, EPA Toxics Release Inventory releases, EJSCREEN burden indicators including drinking water violations, UCMR5 PFAS monitoring, NOAA climate and severe weather data, USGS pesticide application estimates, and EPA radon zones. Convergence detection then flags the counties and tracts where elevated dimensions stack on the same community, which is the analytical move an EHNA exists to make.
For organizations conducting an EHNA in any of the three forms described above, the platform automates the data assembly, the scoring, the convergence detection, and the methodology documentation with cited sources and vintages. Tier details and pricing are published openly on the pricing page. We have a structural commitment to access for organizations serving underserved populations: if your organization serves underserved communities and a paid license is genuinely out of reach, we provide Professional or Studio access at no cost. That commitment is not a promotional offer. It is structural, like the PBC incorporation and the 1% for the Planet pledge.
A short reference list
- IRS Section 501(r)(3) overview, including the Treasury guidance recognizing environmental factors as significant health needs
- EPA Air Quality System (AQS)
- EPA Toxics Release Inventory
- EPA Safe Drinking Water Information System (SDWIS)
- FEMA National Risk Index
- CDC PLACES
- Section 501(r)(3) Explained and Choosing a CHNA Methodology, the companion cornerstones in our CHNA guide
Banana Analytics is a public benefit corporation building the CHNA platform around environmental health. We are committed to 1% for the Planet. This article is general reference information and should not be relied on as legal or tax advice; consult your tax counsel for specific compliance questions. Reach out if your organization is doing work that should not be blocked by a license cost.