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.
| Component | Weight | Source |
|---|---|---|
| Pesticide intensity (kg/sq mi rank) | TBD | USGS PNSP (EPest_HIGH estimate) |
| Summer max-temp percentile | TBD | NOAA / PRISM |
| Farmworker exposure proxy | TBD | USDA 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 →