Banana AnalyticsBANANAANALYTICS

Healthcare’s environmental blind spot

The CHNA platform built around environmental health.

Air quality, water contamination, toxic releases, and climate exposure are factors that contribute to community health outcomes. Banana Analytics overlays them with chronic disease prevalence, provider access, and social vulnerability across all 3,222 U.S. counties. A Public Benefit Corporation, built to put environmental health at the center of community health analysis.

Bar chart comparing four pillar scores (Environmental Risk, Disease Burden, Provider Gap, and SDOH Stress) across Harris County TX, Shelby County TN, Humphreys County TN, and San Augustine County TX. The U.S. national mean (50) and compound-signal threshold (70) are marked as dashed reference lines on a mean-anchored 0–100 scale.
Four-pillar scores across four counties, mean-anchored on a 0–100 scale. Reference lines mark the U.S. national mean and the compound-signal threshold of 70.
3,222 Counties + 74,000 Tracts
10 Federal Sources, 104 Metrics
Updated Daily via Automated Pipelines
Public Benefit Corporation

Try it before signing up

See your county in 10 seconds.

Pick your state and county. In about ten seconds you'll see how environmental risk, disease burden, provider access, and social vulnerability collide in your backyard. The full single-county profile is a free signup away. No credit card.

Pick your state and county

See how environmental risk, disease burden, and provider access converge, in ten seconds.

See it in action

Watch a CHNA come together in 5 minutes.

From hospital service area to scored cohort to AI-drafted narrative. The full Banana Analytics workflow in one walkthrough.

What you get

Everything a CHNA has always included, plus the environmental layer underneath.

Banana Analytics supports every dimension a Community Health Needs Assessment has used for years. None of it goes away. None of it is treated as second-class. What we add is a foundational layer of environmental health context: the air, water, exposure, and climate conditions that are factors in the wellness of a community.

The conventional CHNA dimensions

All the categories you already use, included in full.

  • Demographics and population profile
  • Chronic disease prevalence (CDC PLACES, 30+ measures)
  • Mortality and life expectancy (CDC WONDER)
  • Cancer incidence (NCI State Cancer Profiles)
  • Provider supply and shortages (CMS NPPES, HRSA)
  • Social determinants of health (Census ACS, County Health Rankings)

The environmental layer

The picture other CHNA platforms leave out.

  • Air quality (PM2.5, ozone, wildfire smoke)
  • Drinking water compliance and contamination history
  • Toxic releases (EPA TRI)
  • PFAS contamination (EPA UCMR5 and ECHO)
  • Soil and lead paint exposure (EPA EJScreen)
  • Climate hazards (heat, wildfire, flood)
  • Industrial and agricultural exposure patterns, woven into the same pillar scores and compound signals as the conventional dimensions

The Blind Spot

Your CHNA Is Missing Half the Picture.

Most CHNAs include demographics and chronic disease rates. Almost none include air quality, water contamination, or soil risk.

Even though those environmental factors are upstream of the conditions being reported. We put them in the same county-level view, with tract-level drill-down where the data supports it.

Respiratory disease in a county with poor air quality is a fundamentally different problem than the same prevalence in a county with clean air.

But most planning treats them identically. Our compound signals identify where environmental risk, disease burden, provider shortage, and social vulnerability converge. That pattern is invisible without data fusion.

Most community health data tells you what's happening. Ours tells you what to do about it.

We translate converging health patterns into service line opportunity scores across respiratory, cardiovascular, oncology, renal, endocrine, and behavioral health so you can see where strategic response gaps are.

The Platform

From Raw Data to Ready Intelligence

Every US county scored across four dimensions. Drill down to Census tracts. Detect compound signals. Identify service line opportunities. Generate CHNA-ready reports.

Environmental Risk

PM2.5, ozone, toxic releases, PFAS, radon, heat exposure, drinking water quality, and lead paint risk from EPA and USGS data.

Disease Burden

30+ chronic disease prevalence measures from CDC PLACES, mortality from CDC WONDER, and cancer incidence from NCI.

Provider Gap

Healthcare workforce supply from NPPES and HRSA shortage area designations, scored against population need.

SDOH Stress

7 social determinant domains: food insecurity, housing, transportation, economic hardship, safety, behavioral health, and provider access.

Detect

Compound Signals

Named risk signals that fire when multiple dimensions converge: respiratory burden, wildfire smoke vulnerability, heat health risk, industrial pollution burden. These patterns are invisible in single-dimension analysis.

Translate

Service Line Opportunities

Six clinical service lines scored per county: respiratory, cardiovascular, oncology, renal, endocrine, and behavioral health. Know not just where disease concentrates, but where the strategic response gaps are.

Drill Down

Sub-County Intelligence

Tract-level scoring for 74,000 Census tracts using EPA EJSCREEN and CDC PLACES. Active fire perimeter overlays from WFIGS. Location Deep Dive pages with adaptive hero tiles for every county.

Free with email signup. Pro when you're ready to compare counties.

Every single-county profile is free. Every tab, every metric, every county in the U.S. No credit card. Upgrade to Pro for multi-county comparison, compound signal detection, service line opportunities, tract-level drill-down, and CHNA-ready PDF reports.

See exactly what you get

The full single-county profile is free. With just an email.

Three of the five dashboard tabs work for any U.S. county on the free tier. Compound Signals and Service Line Opportunities (Pro features) are shown so you can see what you're unlocking, not as paywalls in disguise.

Banana Analytics platform Environmental Factors dashboard showing EJSCREEN traffic proximity, drinking water violations, wastewater discharge, and hazardous-site indicators for Harris County TX, Shelby County TN, Humphreys County TN, and San Augustine County TX.
EJSCREEN traffic, drinking water, wastewater, and hazardous-site indicators with national and state comparisons.Free with email signup
Sign up freeNo credit card. See the full single-county profile in seconds.

Note: the free subscription allows comparison of up to 2 counties side by side. The screenshots above show 4-county comparisons (a Pro view) so each dashboard has more to render.

Sample page from a Banana Analytics cohort summary PDF showing an AI-drafted Key Findings paragraph about mental-health stress across Shelby County TN, Harris County TX, Humphreys County TN, and San Augustine County TX, alongside a dumbbell chart of San Augustine County disease prevalence ranked by absolute divergence from the CDC PLACES national benchmark.
A page from a generated cohort summary: AI-drafted Key Findings paragraph beside a per-county disease-prevalence dumbbell. Every numeric claim is verifier-checked before the PDF ships.

The Consultant Studio tier

AI-drafted CHNA narrative. Verified before it ships.

Pick a cohort, pick a preset (Community Need / Market Opportunity / Population Health), get a citation-grade PDF with executive summary, key findings, and the underlying dumbbell + radar charts in 5–10 minutes. Every numeric claim runs through a two-stage pipeline: one model drafts the prose, an independent verifier model checks every quantitative claim against the source payload before the PDF renders. We re-test the lineup in our labs against each frontier model release and pick the best performer per stage on accuracy, latency, and cost. The exact models used are disclosed on the methodology page of every report.

The feature competitors don't have

Compound signals: where multiple risks converge.

A county with elevated environmental risk and elevated disease burden and a thin provider network is a fundamentally different problem than one with any single signal. We surface those convergence patterns directly, tunable by elevation percentile, dimension count, and four named patterns (Respiratory, Wildfire, Heat, Industrial).

Banana Analytics Compound Signals filter showing counties matching at the 70th-percentile threshold across multiple risk dimensions, with named-signal filters for Respiratory, Wildfire, Heat, and Industrial patterns.
The Compound Signals filter, narrowed to counties hitting the 70th-percentile threshold across at least three of four risk dimensions.

Built for CHNA consultants

Build your service area, not someone else's.

County boundaries are administrative. Hospital catchments, member attribution, and grant-funded service areas are not. Define a cohort the way your engagement actually scopes it, then run every pillar score, sparkline, and compound signal against that footprint.

Method 1

ZIP list

Paste a list of ZIPs you already use to scope a CHNA or CB report. Resolves to tract resolution under the hood.

Method 2

Attribution CSV

Upload member or patient counts per ZIP. PHI guardrail rejects unknown columns. Population-weighted across tracts automatically.

Method 3

Drive-time isochrone

Enter a facility address and a drive-time radius (1–60 minutes). Mapbox draws the polygon, we resolve the ZCTAs and tracts inside.

Method 4

Whole-state boundary

One click for state institutions whose mandate covers the entire state (UNM Hospital, the U of Wyoming system, etc.).

Talk to us about custom service areasIn active pilot. Get on the early-access list.

Why We Exist

The Data Was Already There. Nobody Was Connecting It.

Banana Analytics was founded by a registered nurse who spent over a decade building reporting infrastructure at academic medical centers and safety-net health systems. The realization that drove everything: the environmental and community health data already exists across federal agencies. It just isn't being fused together in ways that help the people making decisions on the ground.

Banana Analytics is a Public Benefit Corporation because the gap between environmental conditions and health outcomes is too important to leave to market incentives alone. Revenue funds our existence and drives innovation. We keep as much of the platform accessible as possible because the mission is in our articles of incorporation, not treated as a marketing afterthought.

Bedside Perspective

Built by a team that understands health data problems from the bedside, not just the dashboard.

Engineering Rigor

73 extractors, 10 federal data sources, 104 metrics. All running on automated pipelines updated daily.

Public Benefit Corporation

Mission is in the articles of incorporation, not a marketing afterthought. Legally embedded.

1% for the Planet Member

One percent of gross revenue to environmental organizations, every year, regardless of profitability.

Every county has a story. Yours is one search away.

3,222 counties. 74,000 tracts. Four dimensions. Free with an email. No credit card.

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