Banana AnalyticsBANANAANALYTICS

Compound Signal

Field Burden

Pesticide + heat exposure × Farmworker population

50 counties are firing this signal at the elevated threshold (≥70/100) right now.

What it measures

Surfaces counties where outdoor agricultural workers face simultaneous heat-illness and pesticide-exposure risk. Anchors HRSA 330(g) migrant- and seasonal-worker health-center positioning. Top 5 are TX panhandle and AZ ag counties.

Component breakdown

Each component is independently percentile-ranked against all US counties (0–100), then blended into the final signal score using the weights below.

ComponentWeightSource
Pesticide intensity (kg/sq mi rank)TBDUSGS PNSP (EPest_HIGH estimate)
Summer max-temp percentileTBDNOAA / PRISM
Farmworker exposure proxyTBDUSDA NASS livestock + crop area

Evidence base

Pesticide-applicator and field-worker poisoning surveillance (NIOSH SENSOR-Pesticides) is sparse and state-dependent. This signal builds an exposure proxy from USGS PNSP pesticide-use estimates × crop-area weighted farmworker counts × heat-stress percentile. Used at HRSA 330(g) migrant-worker health centers and in CalEnviroScreen-style state programs to direct outreach and screening capacity.

  • USGS PNSP

    USGS Pesticide National Synthesis Project — county-level pesticide-use estimates (EPest_HIGH and EPest_LOW) since 1992.

  • NIOSH SENSOR-Pesticides

    NIOSH Sentinel Event Notification System for Occupational Risks — pesticide-poisoning surveillance, 11 reporting states (state-dependent coverage).

Counties firing this signal

Top 50 counties at the elevated threshold (70/100) or above, sorted by score. Click any county for the full profile.

Related service line: respiratory. The platform tool exposes per-county service-line opportunity scores on Pro, Studio, and Enterprise tiers.

Methodology

Every Compound Signal on this platform is a versioned, weighted composite published transparently. See the full methodology — every weight, every threshold, every data source — on the methodology page.

View full methodology →