Field catalog

The catalog is the source of truth for every field name, unit, source, and preset assignment. The live, machine-readable version is at GET /v1/meta/fields; this page renders the same data for human browsing. Schema version: 0.16.0 — 366 fields across 7 layers.

How to read this table

Name — the catalog field name you pass to /v1/fetch.
Layer — one of terrain, land_cover, built_environment, utilities, parcels. Mireye fetches each layer in parallel; fields in the same layer share a fetch round-trip.
Type — JSON type returned in the value field (float, int, bool, string).
Unit — SI unit, or — for enums / booleans / strings.
Source — canonical short name of the source publisher.
Description — what the value represents.
Presets — which preset bundles include this field.

All fields

Name	Layer	Type	Unit	Source	Description	Presets
`elevation`	terrain	float	meters	USGS_3DEP	Ground elevation above the NAVD88 vertical datum at the queried point. Sourced from the USGS 3DEP 1/3 arc-second seamless DEM (~10m), with the USGS EPQS dynamic service as a coverage fallback.	terrain, flood_risk, wildfire_underwrite, site_selection, wind_siting
`slope_degrees`	terrain	float	degrees	USGS_3DEP	Surface slope in degrees, computed from the USGS 3DEP DEM at the queried point. 0 = flat; 90 = vertical.	terrain, wildfire_underwrite, site_selection, solar_siting, wind_siting, storage_siting, data_center_siting, natural_hazard
`aspect_degrees`	terrain	float	degrees	USGS_3DEP	Slope aspect (compass bearing the slope faces) in degrees, 0=N, 90=E, 180=S, 270=W.	solar_siting
`aspect_cardinal`	terrain	string	—	USGS_3DEP	Slope aspect as a cardinal direction (N, NE, E, …, NW) — the compass direction the slope faces.	terrain, solar_siting
`coast_distance_m`	terrain	float	meters	NOAA_CUSP	Geodesic distance from the queried point to the nearest point on the nearest NOAA CUSP shoreline feature (measured to the SEGMENT, not to a vertex). CUSP charts every tidal shoreline it maps — open coast, bays and estuaries, the full tidal reach of rivers, and harbour structures such as bulkheads, wharves and breakwaters — so this is distance to NOAA-mapped SHORELINE, not distance to open ocean. A tidal-river waterfront therefore reads metres while the open sea is a hundred kilometres away: Philadelphia reads ~13 m against ~89 km of open sea, and the Anacostia in DC reads a few hundred metres against ~163 km. The value is only large where no CUSP feature is near at all (interior states). A small value therefore does NOT establish marine exposure on its own, and cannot carry a storm-surge inference until the matched shoreline is independently confirmed to be marine — stated here as well as in the interpretation hints, because the public field-catalog table renders descriptions only. Channelized inland water (Man-made.Canal*, Man-made.Lock) is excluded. Always populated.	terrain, flood_risk
`soil_drainage_class`	terrain	string	—	USDA_SSURGO	USDA SSURGO soil drainage class at the queried point (e.g. ‘Well drained’, ‘Poorly drained’, ‘Excessively drained’).	terrain
`soil_map_unit_name`	terrain	string	—	USDA_SSURGO	USDA SSURGO soil map-unit name at the queried point.	—
`bedrock_depth_cm`	terrain	float	centimeters	USDA_STATSGO	Depth to bedrock in centimeters from USDA STATSGO. Censored at the dataset’s measurement ceiling for deep-bedrock locations.	terrain, wind_siting
`intersects_nhd_area`	terrain	bool	—	USGS_NHDPLUS_HR	True if the queried point intersects a USGS NHDPlus HR NHDArea hydrographic polygon, such as a stream/river area, canal/ditch, inundation area, wash, levee, or other areal hydrographic landmark.	flood_risk
`nearest_flowline_name`	terrain	string	—	USGS_NHDPLUS_HR	Name of the nearest USGS NHDPlus stream / river flowline.	—
`nearest_waterbody_name`	terrain	string	—	USGS_NHDPLUS_HR	Name of the nearest USGS NHDPlus waterbody (lake, reservoir, pond).	flood_risk
`huc_12_name`	terrain	string	—	USGS_WBD	Name of the USGS HUC-12 watershed containing the queried point.	—
`within_floodplain_polygon`	terrain	bool	—	FEMA_NFHL	True if the queried point falls inside a FEMA National Flood Hazard Layer Special Flood Hazard Area polygon.	flood_risk, site_selection, data_center_siting, natural_hazard
`intersects_wetland`	terrain	bool	—	USFWS_NWI	True if the queried point falls inside a USFWS National Wetlands Inventory polygon (a biological wetland definition).	flood_risk, site_selection
`wetland_type`	terrain	string	—	USFWS_NWI	Decoded Cowardin classification of the wetland at (or nearest to) the point, in plain English (e.g. ‘Palustrine Emergent Persistent Temporarily Flooded’). Falls back to the coarse NWI WETLAND_TYPE 8-bucket (e.g. ‘Freshwater Forested/Shrub Wetland’) when a code cannot be decoded.	flood_risk, site_selection
`wetland_subtype`	terrain	string	—	USFWS_NWI	Raw Cowardin classification code from NWI ATTRIBUTE (e.g. ‘PFO1A’ = Palustrine / Forested / Broad-Leaved Deciduous / Temporarily Flooded).	flood_risk
`wetland_acres`	terrain	float	acre	USFWS_NWI	Total acreage of the NWI wetland polygon at (or nearest to) the point — NOT the share of any parcel.	flood_risk
`nearest_wetland_distance_m`	terrain	float	m	USFWS_NWI	Geodesic meters to the nearest NWI wetland within a 500 m search; 0 if the point is on a wetland; null if none within 500 m.	flood_risk, site_selection
`wetlands_within_100m_count`	terrain	int	—	USFWS_NWI	Count of NWI wetland polygons within 100 m of the point.	flood_risk, site_selection
`wetlands_within_500m_count`	terrain	int	—	USFWS_NWI	Count of NWI wetland polygons within 500 m of the point.	flood_risk
`surface_water_permanence_pct`	terrain	float	percent	JRC_GSW	JRC Global Surface Water permanence percentage at the queried 30m cell (0 = never surface water, 100 = permanent open water).	flood_risk, data_center_siting
`lcms_class`	land_cover	string	—	USFS_LCMS	USFS Land Change Monitoring System dominant land-cover class at the queried point, served from a bootstrapped ~120m block-mode CONUS grid (annual LCMS product). Life-form taxonomy — classes include Trees, Shrubs, Grass/Forb/Herb, cover mixes, Barren or Impervious, Water, Snow or Ice (no dedicated crop class). CONUS only.	wildfire_underwrite, land_cover, site_selection
`land_use_class`	land_cover	string	—	USFS_LCMS	USFS LCMS land-use class (Agriculture / Developed / Forest / Other / Rangeland or Pasture / Non-Processing Area Mask), served from a bootstrapped ~120m block-mode CONUS grid. CONUS only.	land_cover
`tree_canopy_pct`	land_cover	float	percent	USFS_NLCD_TCC	Tree canopy cover percentage (0-100) at the point, sampled from the USFS/NLCD Tree Canopy Cover product served as a bootstrapped ~120m CONUS grid. CONUS only.	wildfire_underwrite, land_cover, solar_siting
`ndvi_current`	land_cover	float	—	SENTINEL2_NDVI	Most recent Sentinel-2 NDVI (Normalized Difference Vegetation Index) at the queried cell, range -1 to +1. Higher = greener / more photosynthetic activity.	wildfire_underwrite
`ndvi_change_5y`	land_cover	float	—	SENTINEL2_NDVI	5-year change in NDVI at the queried cell. Negative values indicate vegetation loss; positive indicate growth or recovery.	wildfire_underwrite
`cdl_class`	land_cover	string	—	USDA_CDL	USDA Cropland Data Layer class name at the queried point — a crop (Corn, Soybeans, Cotton, Winter Wheat, …) OR a non-crop CDL land-cover class (Developed, Open Water, Deciduous Forest, Grassland/Pasture, …). NULL only when the point is outside the CDL CONUS grid or on a background/nodata cell. Pair with is_cultivated to distinguish cultivated cropland from non-crop cover.	land_cover
`is_cultivated`	land_cover	bool	—	USDA_CDL	True if the queried point is on USDA-mapped cultivated cropland.	solar_siting
`dominant_crop_5y`	land_cover	string	—	USDA_CDL	Most-frequent crop classification over the last 5 CDL years at the queried point. Helps see past 1-year rotation noise.	land_cover
`primary_building_height_m`	built_environment	float	meters	OVERTURE_BUILDINGS	Height in meters of the building containing (or nearest to) the queried point, from Overture Buildings.	building_lookup
`primary_building_num_floors`	built_environment	int	—	OVERTURE_BUILDINGS	Number of floors of the primary building at/near the queried point.	building_lookup
`primary_building_footprint_sqm`	built_environment	float	square_meters	OVERTURE_BUILDINGS	Building footprint area in square meters from Overture Buildings.	building_lookup
`primary_building_overture_class`	built_environment	string	—	OVERTURE_BUILDINGS	Overture-classified building category (residential / commercial / industrial / civic / etc.) of the primary building.	building_lookup
`nearest_major_road_name`	built_environment	string	—	OVERTURE_TRANSPORTATION	Name of the nearest major road (motorway / trunk / primary / secondary) from Overture Roads.	—
`nearest_major_road_distance_m`	built_environment	float	meters	OVERTURE_TRANSPORTATION	Geodesic distance to the nearest major road in meters.	site_selection
`nearest_bridge_name`	built_environment	string	—	FHWA_NBI	Name of the nearest FHWA-NBI catalogued bridge.	—
`nearest_power_plant_name`	utilities	string	—	EIA_ATLAS	Name of the nearest electric power-generating facility (EIA Atlas).	utilities
`nearest_power_plant_distance_m`	utilities	float	meters	EIA_ATLAS	Geodesic distance in meters to the nearest EIA Atlas power plant.	utilities, storage_siting, grid_interconnect
`nearest_power_plant_primary_fuel`	utilities	string	—	EIA_ATLAS	Primary fuel of the nearest power plant (Natural Gas, Coal, Nuclear, Solar, Wind, Hydro, etc.).	utilities
`nearest_power_plant_capacity_mw`	utilities	float	megawatts	EIA_ATLAS	Summer (net) generating capacity in megawatts of the nearest power plant, as published by the EIA Atlas — typically ~10% below nameplate capacity. Do not treat as nameplate.	utilities, grid_interconnect
`nearest_transmission_line_distance_m`	utilities	float	meters	EIA_ATLAS	Distance in meters to the nearest EIA Atlas transmission line.	site_selection, utilities, storage_siting, grid_interconnect
`nearest_transmission_line_voltage_kv`	utilities	float	kilovolts	EIA_ATLAS	Operating voltage (kV) of the single nearest EIA/HIFLD transmission line. Null when the source publishes no numeric voltage for that segment.	site_selection, utilities
`nearest_transmission_line_voltage_class`	utilities	string	—	EIA_ATLAS	Voltage-class band of the nearest line (e.g. “100-161”, “345”, “500”) from source VOLT_CLASS. A range, not a point value.	site_selection, utilities
`nearest_transmission_line_voltage_basis`	utilities	string	—	EIA_ATLAS	How the nearest line’s voltage is known: numeric, class_band, or not_published.	site_selection, utilities
`nearest_transmission_line_status`	utilities	string	—	EIA_ATLAS	Operating status of the nearest line: “IN SERVICE”, “UNDER CONSTRUCTION”, “INACTIVE”, or null when unpublished.	utilities
`nearest_transmission_line_owner`	utilities	string	—	EIA_ATLAS	Owner/operator of the nearest line (e.g. “ONCOR ELECTRIC DELIVERY CO.”) from source OWNER; null when unpublished.	utilities
`max_transmission_line_voltage_kv_within_radius`	utilities	float	kilovolts	EIA_ATLAS	Highest NUMERIC operating voltage (kV) among all transmission lines within ~2 km (transmission_lines_radius_m). Null when no in-range line publishes a numeric voltage.	site_selection, utilities
`max_transmission_line_voltage_class_within_radius`	utilities	string	—	EIA_ATLAS	Highest voltage-class band among all lines within ~2 km, ranking class-band-only lines alongside numeric ones. Always >= the band implied by max_transmission_line_voltage_kv_within_radius.	site_selection, utilities
`transmission_lines_within_radius_count`	utilities	int	—	EIA_ATLAS	Count of EIA/HIFLD transmission segments within ~2 km (transmission_lines_radius_m).	site_selection, utilities, data_center_siting, grid_interconnect
`nearest_gas_pipeline_distance_m`	utilities	float	meters	EIA_ATLAS	Distance in meters to the nearest EIA interstate natural-gas pipeline.	utilities, data_center_siting
`nearest_public_water_system_name`	utilities	string	—	EPA_SDWIS	Name of the EPA SDWIS public water system serving the queried point.	—
`nearest_rail_line_distance_m`	utilities	float	meters	BTS_NTAD	Distance in meters to the nearest BTS NTAD rail line within a 5 km search; null if none within 5 km.	data_center_siting
`nearest_airport_name`	utilities	string	—	FAA_NASR	Name of the nearest FAA NASR airport.	—
`nearest_airport_distance_m`	utilities	float	meters	FAA_NASR	Distance in meters to the nearest FAA NASR airport.	wind_siting
`nearest_port_name`	utilities	string	—	BTS_PORTS	Name of the nearest BTS Principal Port.	—
`nearest_antenna_structure_distance_m`	utilities	float	meters	FCC_ASR	Geodesic distance in meters to the nearest FCC-registered antenna structure within a 2 km buffer. Source is the FCC ULS Antenna Structure Registration (ASR), which only includes structures >=200 ft AGL (FAA Form 7460 threshold); small cells and sub-threshold towers are not in the federal index.	—
`nearest_antenna_structure_height_m`	utilities	float	meters	FCC_ASR	Overall height above ground (in meters) of the nearest FCC ASR antenna structure. Always >=60.96 m by construction.	—
`nearest_antenna_structure_type`	utilities	string	—	FCC_ASR	FCC structure-type code for the nearest antenna structure (e.g. BTWR = building-mounted tower, BANT = antenna on building, TOWER = freestanding tower, GTOWER = guyed tower).	—
`nearest_antenna_structure_owner`	utilities	string	—	FCC_ASR	FCC ASR registration number of the nearest antenna structure. Cross-reference https://wireless2.fcc.gov/UlsApp/AsrSearch/ for the registrant entity.	—
`antenna_structures_within_500m_count`	utilities	int	—	FCC_ASR	Count of FCC ASR antenna structures within 500 m of the queried point. Dense urban clusters (broadcast row, downtown rooftops) typically register multiple structures inside this radius.	—
`antenna_structures_within_2km_count`	utilities	int	—	FCC_ASR	Count of FCC ASR antenna structures within the 2 km query buffer. Zero count means no registered tall antennas within 2 km.	—
`political_region`	parcels	string	—	OVERTURE_DIVISIONS	US state name from Overture Divisions at the queried point.	boundaries
`political_county`	parcels	string	—	OVERTURE_DIVISIONS	County name from Overture Divisions at the queried point.	boundaries
`political_locality`	parcels	string	—	OVERTURE_DIVISIONS	Locality / city name from Overture Divisions.	boundaries
`tract_geoid`	parcels	string	—	US_CENSUS_GEOCODER	US Census tract GEOID (11 digits: STATE+COUNTY+TRACT) containing the queried point.	boundaries
`intersects_conservation_easement`	parcels	bool	—	USGS_PADUS	True if the queried point intersects a USGS PAD-US 4.1 conservation easement. PAD-US is the federal aggregation of conservation easements after NCED was discontinued in 2025.	site_selection
`easement_holder`	parcels	string	—	USGS_PADUS	Holder organization of the intersecting conservation easement.	—
`easement_type`	parcels	string	—	USGS_PADUS	Type/category of the intersecting PAD-US conservation easement.	—
`easement_purpose`	parcels	string	—	USGS_PADUS	Stated purpose of the intersecting easement. PAD-US 4.1 publishes no stated-purpose attribute for easement records, so this is null (semantic absence) even when an easement is present.	—
`easement_acres`	parcels	float	acres	USGS_PADUS	Total GIS acreage of the PAD-US conservation easement polygon intersecting the point — NOT the share of any parcel.	—
`easement_year_established`	parcels	int	—	USGS_PADUS	Year the intersecting PAD-US conservation easement was established.	—
`intersects_protected_area`	parcels	bool	—	USGS_PADUS	True if the queried point intersects a USGS PAD-US 4.1 protected area (Fee or Designation): parks, refuges, wilderness, military, NGO preserves.	site_selection
`protected_area_name`	parcels	string	—	USGS_PADUS	Name of the intersecting PAD-US protected area (most protective unit).	—
`protected_area_gap_status`	parcels	int	—	USGS_PADUS	GAP status (1–4) of the intersecting PAD-US protected area — the conservation-strictness axis.	site_selection
`protected_area_designation`	parcels	string	—	USGS_PADUS	Designation type (Wilderness/Refuge/Park…) of the intersecting protected area.	—
`protected_area_manager`	parcels	string	—	USGS_PADUS	Managing entity of the intersecting PAD-US protected area.	—
`protected_area_public_access`	parcels	string	—	USGS_PADUS	Public-access level (Open/Restricted/Closed/Unknown) of the protected area.	—
`intersects_critical_habitat`	parcels	bool	—	USFWS_CRITHAB	True if the queried point intersects USFWS ESA-designated critical habitat (Final OR Proposed polygon).	site_selection
`critical_habitat_status`	parcels	string	—	USFWS_CRITHAB	Designation status of the intersecting critical habitat: Final or Proposed.	site_selection
`critical_habitat_species`	parcels	string	—	USFWS_CRITHAB	Listed species (common + scientific name) the critical habitat is designated for.	—
`critical_habitat_listing_status`	parcels	string	—	USFWS_CRITHAB	ESA listing status (Endangered/Threatened) of the critical-habitat species.	—
`parcel_geometry_wkt`	parcels	string	—	REGRID	WKT polygon of the matched Regrid parcel (WGS84). POLYGON only — for a multi-polygon parcel use parcel_boundary_geojson, which keeps every part.	site_selection
`parcel_boundary_geojson`	parcels	string	—	REGRID	GeoJSON Polygon/MultiPolygon of the matched Regrid parcel (WGS84) as a JSON string; json.loads it. Preserves MultiPolygon parts that parcel_geometry_wkt truncates.	site_selection
`parcel_id`	parcels	string	—	REGRID	Stable Regrid identifier for the matched parcel.	site_selection
`parcel_apn`	parcels	string	—	REGRID	Assessor’s parcel number (APN) for the matched parcel.	—
`parcel_area_m2`	parcels	float	square_meters	REGRID	Area of the single matched Regrid parcel in square meters, derived from Regrid’s calculated acreage (ll_gisacre) or square footage (ll_gissqft) — Regrid’s US schema has no metric area column — falling back to county-provided gisacre/sqft.	site_selection
`parcel_address`	parcels	string	—	REGRID	Situs/site address of the matched Regrid parcel, when present.	—
`parcel_data_source`	parcels	string	—	REGRID	Which Regrid tier produced this parcel: regrid_paid or regrid_free_tier.	—
`parcel_owner`	parcels	string	—	REGRID	Owner of record for the exact Regrid parcel at the queried point, or for the bounded nearest parcel when an exact point lookup misses.	—
`parcel_zoning`	parcels	string	—	REGRID	Zoning designation for the exact Regrid parcel at the queried point, or for the bounded nearest parcel when an exact point lookup misses.	site_selection
`parcel_match_type`	parcels	string	—	REGRID	How the Regrid parcel was matched: exact_intersect for point-in-parcel matches, or nearest_within_radius for bounded fallback matches.	—
`parcel_match_distance_m`	parcels	float	meters	REGRID	Distance from the query point to the selected Regrid parcel geometry; 0 for exact point-in-parcel matches.	—
`parcel_match_radius_m`	parcels	float	meters	REGRID	Configured Regrid nearest-parcel fallback radius used for this match; 0 for exact point-in-parcel matches.	—
`ghi_annual_kwh_m2_day`	climate	float	kWh/m2/day	NREL_SOLAR_RESOURCE_V1	Annual-average global horizontal irradiance at the point, sampled from the NREL PSM v3 multiyear (1998-2016) ~4 km solar-resource raster (local index; no API key needed).	solar_siting
`dni_annual_kwh_m2_day`	climate	float	kWh/m2/day	NREL_SOLAR_RESOURCE_V1	Annual-average direct normal (beam) irradiance, sampled from the NREL PSM v3 multiyear (1998-2016) ~4 km solar-resource raster (local index; no API key needed). Drives CSP and tracking-system economics.	solar_siting
`pv_capacity_factor_pct`	climate	float	pct	NREL_PVWATTS_V8	Modeled first-year AC capacity factor for a fixed-tilt open-rack PV system, from NREL PVWatts v8 (latitude tilt, south-facing).	solar_siting
`pv_specific_yield_kwh_per_kw`	climate	float	kWh/kW	NREL_PVWATTS_V8	Modeled annual AC energy per kW-DC installed (ac_annual / system_capacity) for a fixed-tilt system, from NREL PVWatts v8.	solar_siting
`optimal_fixed_tilt_degrees`	climate	float	degrees	NREL_PVWATTS_V8	Energy-maximising fixed array tilt. Reported as the latitude rule-of-thumb (\|lat\|); exact optimum is within a few degrees (see provenance notes).	solar_siting
`surface_albedo_annual`	climate	float	—	NREL_NSRDB_GOES_TMY_V4	Dimensionless 0-1 broadband ground albedo (annual mean), from the NREL NSRDB GOES TMY series. Drives bifacial PV rear-side gain.	solar_siting
`mean_wind_speed_100m_ms`	climate	float	m/s	NREL_WIND_TOOLKIT	Long-term annual-mean wind speed at 100m hub height (NREL WIND Toolkit, 2 km CONUS, 2007-2014 climatology).	wind_siting
`mean_wind_speed_120m_ms`	climate	float	m/s	NREL_WIND_TOOLKIT	Annual-mean wind speed at 120m (current-generation hub height), NREL WIND Toolkit.	wind_siting
`mean_wind_speed_160m_ms`	climate	float	m/s	NREL_WIND_TOOLKIT	Annual-mean wind speed at 160m (tall-tower/repowering height), NREL WIND Toolkit.	wind_siting
`wind_power_density_100m_wm2`	climate	float	W/m2	NREL_WIND_TOOLKIT	Mean wind power density at 100m (time-mean of 0.5rhov^3), the canonical resource grade. NREL WIND Toolkit-derived.	wind_siting
`prevailing_wind_direction_100m_cardinal`	climate	string	—	NREL_WIND_TOOLKIT	16-point modal wind-from sector (energy-weighted) at 100m, NREL WIND Toolkit.	wind_siting
`weibull_k_100m`	climate	float	—	NREL_WIND_TOOLKIT	Weibull shape parameter k of the 100m wind-speed distribution, NREL WIND Toolkit.	wind_siting
`wind_capacity_factor_pct`	climate	float	pct	NREL_REV_LANDBASED_WIND_SC_2024	Modeled mean capacity factor of a reference 115m-hub / 170m-rotor turbine at the nearest NREL reV land-based supply-curve point.	wind_siting
`wind_least_cost_interconnect_distance_m`	climate	float	m	NREL_REV_LANDBASED_WIND_SC_2024	NREL reV modeled least-cost spur distance from the nearest supply-curve point to the nearest available substation.	wind_siting, storage_siting, grid_interconnect
`design_wet_bulb_temperature_0_4pct_degc`	climate	float	degC	NREL_NSRDB_GOES_TMY_V4	TMY-based approximation of the 0.4% cooling design wet-bulb: the 99.6th percentile of hourly wet-bulb over one NREL NSRDB GOES-TMY year, solved psychrometrically from dry-bulb + dew-point. A single typical year clips extremes, so this runs slightly cool of the true multi-year ASHRAE design value (reported at medium confidence).	data_center_siting
`mean_annual_dry_bulb_temperature_degc`	climate	float	degC	NOAA_NCEI_NORMALS_GRIDDED	Mean annual dry-bulb air temperature from NOAA NCEI 1991-2020 gridded normals (~4.6 km). CONUS only.	solar_siting, data_center_siting
`mean_annual_relative_humidity_pct`	climate	float	pct	NREL_NSRDB_GOES_TMY_V4	Mean annual relative humidity, the mean of the hourly RH column from the same NREL NSRDB GOES-TMY series the design wet-bulb is derived from (one fetch, one climatology, self-consistent).	data_center_siting
`days_above_32c_annual_count`	climate	int	days	NOAA_NCEI_NCLIMGRID_DAILY	Mean days/yr with Tmax >= 32C (90F), from NOAA NCEI nClimGrid-Daily (~5 km) averaged across years. CONUS only.	solar_siting, data_center_siting
`mean_annual_snow_cover_days`	climate	int	days	NSIDC_MODIS_SNOW_COVER_DURATION	Mean annual snow-cover days from the NSIDC-0791 MODIS/Terra 0.01deg snow-cover-duration climatology (WY2001-2023). CONUS only.	solar_siting
`seismic_design_category`	hazards	string	—	USGS_DESIGNMAPS_ASCE7	ASCE 7-22 Seismic Design Category (A-F) from the USGS design-maps web service. Site class is assumed D (code default); recorded in provenance.	natural_hazard
`seismic_pga_2pct_50yr_g`	hazards	float	g	USGS_NSHM	Peak ground acceleration at 2% exceedance in 50yr (~2475-yr return), firm-rock VS30=760, from the USGS 2023 NSHM. CONUS only.	natural_hazard
`design_wind_speed_mph`	hazards	float	mph	NOAA_ASCE_WIND_VECTORS	ASCE 7-22 basic design wind speed (3-second gust, Risk Category II / 700-yr MRI, Exposure C) from NOAA’s free CC0 mirror of the ASCE wind vectors.	natural_hazard
`wildfire_annual_frequency`	hazards	float	—	FEMA_NRI	Annualized wildfire event frequency (events/yr) for the containing Census tract, from FEMA National Risk Index (WFIR_AFREQ).	natural_hazard
`tornado_annual_frequency`	hazards	float	—	FEMA_NRI	Annualized tornado event frequency (events/yr) for the containing Census tract, from FEMA NRI (TRND_AFREQ).	natural_hazard
`hail_annual_frequency`	hazards	float	—	FEMA_NRI	Annualized hail event frequency (events/yr) for the containing Census tract, from FEMA NRI (HAIL_AFREQ).	natural_hazard
`lightning_annual_flash_days`	hazards	float	days	FEMA_NRI	Estimated lightning days per year for the containing Census tract, from FEMA NRI (LTNG_AFREQ; days/yr, not flash count).	natural_hazard
`landslide_susceptibility_index`	hazards	int	—	USGS_LANDSLIDE_SUSCEPTIBILITY	USGS Slope-Relief-Threshold landslide susceptibility (0-81 = count of susceptible 10 m cells in the 90 m cell). National.	natural_hazard
`nearest_dam_distance_m`	hazards	float	m	USACE_NID	Straight-line distance to the nearest dam in the USACE National Inventory of Dams, searched within a 10 km screening band.	data_center_siting, natural_hazard
`nearest_dam_hazard_potential`	hazards	str	—	USACE_NID	USACE hazard-potential class of the nearest NID dam (High / Significant / Low / Undetermined).	data_center_siting, natural_hazard
`high_hazard_dams_within_10km`	hazards	int	—	USACE_NID	Count of High hazard-potential NID dams within 10 km of the point.	data_center_siting, natural_hazard
`nearest_hazardous_facility_distance_m`	hazards	float	m	EPA_FRS_RMP	Distance to the nearest EPA Risk Management Program (RMP) facility geocode in the Facility Registry Service, searched within 10 km.	data_center_siting
`nearest_hazardous_facility_name`	hazards	str	—	EPA_FRS_RMP	EPA FRS primary name of the nearest RMP-registered facility (upstream casing preserved).	data_center_siting
`housing_units_within_1km`	hazards	int	—	CENSUS_TIGERWEB	2020 Census housing units across blocks intersecting a 1 km band around the point (TIGERweb tabblock HU100; edge blocks counted whole).	site_selection, solar_siting, wind_siting, data_center_siting
`housing_units_density_per_km2`	hazards	float	units/km2	CENSUS_TIGERWEB	Housing units per km2 of block land area within the 1 km band (water excluded from the denominator), from 2020 Census blocks.	solar_siting, wind_siting, data_center_siting
`nearest_substation_distance_m`	utilities	float	meters	EIA_POWER	Great-circle distance to the nearest electric substation (EIA Atlas, >=69kV layer), the physical interconnection injection point.	storage_siting, data_center_siting, grid_interconnect
`nearest_substation_max_voltage_kv`	utilities	float	kV	EIA_POWER	Maximum voltage (MAX_VOLT) of the nearest electric substation, from EIA Atlas.	storage_siting, data_center_siting, grid_interconnect
`nearest_substation_status`	utilities	string	—	EIA_POWER	Operational status of the nearest substation (e.g. IN SERVICE / UNDER CONST / PROPOSED / NOT AVAILABLE), from EIA Atlas.	storage_siting, data_center_siting, grid_interconnect
`electric_utility_service_territory`	utilities	string	—	EIA_POWER	Name of the retail electric utility whose service territory contains the point. First routing key for interconnection / PPA / tariff.	storage_siting, data_center_siting, grid_interconnect
`avg_retail_electricity_price_industrial_usd_per_kwh`	utilities	float	USD/kWh	EIA_ELEC_SALES_REVENUE_PRICE	Most-recent industrial-sector average retail electricity price for the area (EIA; state-level, refinable to utility once territory is known).	storage_siting, data_center_siting
`egrid_subregion`	utilities	string	—	EPA_EGRID	EPA eGRID subregion code (e.g. RFCW, CAMX, ERCT) whose polygon contains the point.	data_center_siting, grid_interconnect
`egrid_co2_output_rate_kg_per_mwh`	utilities	float	kgCO2e/MWh	EPA_EGRID	Annual total-output CO2e rate of the containing eGRID subregion (EPA eGRID).	storage_siting, data_center_siting
`interconnection_queue_active_capacity_county_mw`	utilities	float	MW	LBNL_QUEUED_UP	Total nameplate MW of active-queue generation/storage projects in the containing county (LBNL ‘Queued Up’, keyed by county FIPS).	storage_siting, data_center_siting, grid_interconnect
`nearest_proposed_generator_distance_m`	utilities	float	meters	EIA_860M	Distance to the nearest proposed / under-construction generator (EIA-860M Planned tab). Existing power-plant fields cover operating plants only.	storage_siting, grid_interconnect
`surface_water_supply_use_index_huc12`	utilities	float	—	USGS_IWAA_WATER_BUDGET	USGS surface-water supply-and-use index (0 = no limitation to 1 = total local depletion) for the containing HUC12 watershed.	data_center_siting
`public_water_system_population_served`	utilities	int	—	EPA_CWS_SERVICE_AREAS	Population served by the EPA community water system whose service-area polygon contains the point.	data_center_siting
`huc12_thermoelectric_consumptive_use_m3_per_day`	utilities	float	m3/day	USGS_THERMOELECTRIC_WATER_USE	Existing freshwater thermoelectric consumptive use summed in the containing HUC12, latest full year 2020 (USGS 2008-2020 reanalysis).	data_center_siting
`nearest_groundwater_well_depth_to_water_m`	utilities	float	meters	USGS_NWIS_OGC	Depth to water at the nearest USGS NWIS groundwater well (param 72019). Sparse / often a historical reading — use as a coarse indicator.	data_center_siting
`fiber_provider_count`	utilities	int	—	FCC_BDC_FIXED	Count of distinct ISPs reporting Fiber-to-the-Premises (FTTP) mass-market availability in the FCC BDC H3 res-8 hexagon containing the point (live ArcGIS Living Atlas mirror).	data_center_siting
`fiber_broadband_available`	utilities	bool	—	FCC_BDC_FIXED	Whether >=1 ISP reports fiber (FTTP) mass-market availability in the FCC BDC H3 res-8 hexagon containing the point (live ArcGIS Living Atlas mirror).	data_center_siting
`mobile_5g_coverage_class`	utilities	string	—	FCC_BDC_MOBILE	Best modeled 5G-NR coverage tier whose polygon contains the point (FCC BDC mobile, max across carriers).	data_center_siting
`nearest_urban_area_distance_m`	utilities	float	meters	CENSUS_TIGER_URBAN	Straight-line distance to the nearest 2020 Census Urban Area boundary (0 if inside an urban area).	site_selection, data_center_siting
`surface_management_agency`	parcels	string	—	BLM_SMA	Federal surface-managing agency of the containing parcel (BLM/USFS/NPS/FWS/DOD/BOR/BIA/OTHER_FEDERAL/STATE/PRIVATE_OR_UNKNOWN), from the BLM SMA layer.	solar_siting, wind_siting, storage_siting, data_center_siting
`special_use_airspace_type`	parcels	string	—	FAA_SUA	FAA Special Use Airspace containing the point (moa / restricted / prohibited / warning / alert / none; most-restrictive when multiple).	wind_siting
`blm_solar_application_land_status`	parcels	string	—	BLM_SOLAR_PEIS_2024	2024 Western Solar Plan ROD (Approved Plan) land status of the point on BLM land (available / avoidance / excluded / other / drecp_cdca / western_washington / not_blm_solar_planning_area).	solar_siting
`golden_eagle_nest_density_index`	parcels	float	—	USFWS_GOEA_RND	USFWS predicted relative golden-eagle nest-site density (0-1) at the point. Western US only; null elsewhere by design.	wind_siting
`nearest_wind_turbine_distance_m`	built_environment	float	meters	USWTDB	Distance to the nearest existing wind turbine (USGS/LBNL US Wind Turbine Database).	wind_siting
`nearest_wind_turbine_hub_height_m`	built_environment	float	meters	USWTDB	Hub height of the nearest USWTDB turbine.	wind_siting
`nearest_wind_turbine_total_height_m`	built_environment	float	meters	USWTDB	Total tip height of the nearest USWTDB turbine.	wind_siting
`nearest_wind_project_capacity_mw`	built_environment	float	MW	USWTDB	Nameplate capacity of the project containing the nearest USWTDB turbine.	wind_siting
`nearest_utility_solar_facility_distance_m`	built_environment	float	meters	USPVDB	Distance to the centroid of the nearest operating utility-scale (>=1MW) ground-mount PV facility (USGS USPVDB; the source carries facility centroids, not footprint polygons).	solar_siting, storage_siting
`nearest_utility_solar_facility_capacity_mw`	built_environment	float	MW	USPVDB	AC nameplate capacity of the nearest utility-scale PV facility (USPVDB).	solar_siting
`nearest_repowering_site_distance_m`	built_environment	float	meters	EPA_REPOWERING	Distance to the nearest EPA RE-Powering screened contaminated/disturbed site (brownfield, landfill, mine), from the 2021 RE-Powering Mapper dataset (~190k sites).	site_selection, solar_siting, wind_siting, data_center_siting
`soil_shrink_swell_class`	terrain	string	—	USDA_SSURGO	Expansive-soil class (Low / Moderate / High / Very High) of the dominant component, derived from SSURGO linear extensibility (lep_r) via Soil Data Access.	data_center_siting, natural_hazard
`prime_farmland_classification`	terrain	string	—	USDA_SSURGO	SSURGO farmland classification collapsed to an enum (prime / prime_if_conditions_met / statewide_importance / unique / local_importance / not_prime).	solar_siting, wind_siting, storage_siting
`natural_gas_citygate_price_usd_per_mcf`	utilities	float	USD/MCF	EIA_NATURAL_GAS_PRICES	Most-recent monthly city-gate natural-gas price for the state (EIA natural-gas/pri/sum, process PG1; latest non-null month).	data_center_siting
`natural_gas_industrial_price_usd_per_mcf`	utilities	float	USD/MCF	EIA_NATURAL_GAS_PRICES	Most-recent monthly industrial natural-gas price for the state (EIA natural-gas/pri/sum, process PIN; latest non-null month).	data_center_siting
`in_shale_play`	utilities	bool	—	EIA_SHALE_PLAYS	Whether the point falls within a mapped EIA tight-oil / shale-gas play polygon (Lower-48; point-in-polygon).	data_center_siting
`nearest_shale_play_name`	utilities	string	—	EIA_SHALE_PLAYS	Name of the primary (largest-area) shale play containing the point; stacked plays are noted in provenance. Absent if not in any play.	data_center_siting
`sedimentary_basin_name`	utilities	string	—	USGS_SEDIMENTARY_BASINS	Name of the USGS sedimentary basin containing the point (point-in-polygon; the clean single-basin “name” label). Absent if not in any mapped basin.	data_center_siting
`nearest_gas_compressor_distance_m`	utilities	float	m	EIA_GAS_INFRASTRUCTURE	Geodesic distance to the nearest natural-gas compressor station (HIFLD/EIA point layer; nearest within 200 km).	data_center_siting
`nearest_gas_storage_distance_m`	utilities	float	m	EIA_GAS_INFRASTRUCTURE	Geodesic distance to the nearest underground natural-gas storage facility (HIFLD/EIA point layer; nearest within 200 km).	data_center_siting
`nearest_lng_terminal_distance_m`	utilities	float	m	EIA_GAS_INFRASTRUCTURE	Geodesic distance to the nearest LNG import/export terminal, EXISTING OR PROPOSED/APPROVED (HIFLD/EIA point layer, sourced from FERC’s existing-and-proposed terminal layer; nearest within 200 km). A proposed terminal may not yet be built — confirm current status with the operator/FERC.	data_center_siting
`drought_category`	climate	string	—	USDM_CURRENT	US Drought Monitor category at the point (D0 Abnormally Dry .. D4 Exceptional), the MAX class of the severity-nested dissolved USDM polygons containing the point. Null = point in no drought polygon (better than D0).	data_center_siting
`in_opportunity_zone`	built_environment	bool	—	HUD_OPPORTUNITY_ZONES	True if the queried point falls inside a designated Qualified Opportunity Zone (QOZ) census tract; False if it does not.	site_selection, data_center_siting
`opportunity_zone_tract_geoid`	built_environment	string	—	HUD_OPPORTUNITY_ZONES	The 11-character GEOID10 census-tract code of the designated Opportunity Zone containing the point (null when the point is not in any OZ).	data_center_siting
`in_air_quality_nonattainment`	hazards	bool	—	EPA_GREEN_BOOK	True if the point falls in any current EPA NAAQS nonattainment area (ozone / PM2.5 / PM10 / CO / SO2 / NO2 / lead).	data_center_siting
`air_quality_nonattainment_pollutants`	hazards	string	—	EPA_GREEN_BOOK	Comma-joined distinct pollutant names for which the point is in a nonattainment area (e.g. “Ozone (2015),PM2.5 (2012)“).	data_center_siting
`air_quality_worst_classification`	hazards	string	—	EPA_GREEN_BOOK	Worst NONATTAINMENT classification across ALL classified pollutants at the point — ozone, CO, AND PM10/PM2.5, not just ozone/CO (Extreme > Severe > Serious > Moderate > Marginal). Blank for lead/SO2/NO2 (which EPA never classifies) and for maintenance-only points — this field collects classifications from NONATTAINMENT matches only, so a point whose classified areas are all Maintenance reads blank here even though those areas carry a published classification. For a single pollutant’s own classification (not this cross-pollutant max), and for maintenance classifications, use air_quality_<pollutant>_classification instead (e.g. air_quality_ozone_classification, air_quality_pm25_classification).	data_center_siting
`nearest_brownfield_distance_m`	hazards	float	m	EPA_ACRES	Straight-line distance to the nearest EPA ACRES brownfield site within an 8 km screening band (EPA Facility Registry Service).	site_selection, data_center_siting
`brownfields_within_radius_count`	hazards	int	—	EPA_ACRES	Count of EPA ACRES brownfield sites within 8 km of the point.	site_selection, data_center_siting
`nearest_superfund_distance_m`	hazards	float	m	EPA_SEMS	Straight-line distance to the nearest EPA SEMS Superfund-inventory site within an 8 km screening band (EPA Facility Registry Service).	site_selection, data_center_siting
`superfund_sites_within_radius_count`	hazards	int	—	EPA_SEMS	Count of EPA SEMS Superfund-inventory sites within 8 km of the point.	site_selection, data_center_siting
`air_district_name`	hazards	string	—	CARB_AIR_DISTRICTS	Name of the California air district (CARB) whose boundary contains the point (e.g. “Bay Area”, “South Coast”). Null outside California.	data_center_siting
`nearest_submarine_cable_distance_m`	utilities	float	meters	NOAA_MARINECADASTRE_SUBMARINE_CABLE	Geodesic distance to the nearest NOAA-charted submarine cable right-of-way corridor; 0 when the point lies inside a corridor.	data_center_siting
`nearest_submarine_cable_name`	utilities	str	—	NOAA_MARINECADASTRE_SUBMARINE_CABLE	Name of the nearest charted submarine cable system (e.g. “North Pacific Cable System”), when the corridor carries a cablesystem name.	data_center_siting
`nearest_long_haul_rail_corridor_distance_m`	utilities	float	meters	BTS_NTAD	Distance in meters to the nearest BTS NTAD mainline rail line (a long-haul right-of-way corridor).	data_center_siting
`nearest_gas_pipeline_operator`	utilities	string	—	EIA_ATLAS	Operator/company of the nearest EIA interstate natural-gas pipeline (source Operator field).	—
`nearest_gas_pipeline_type`	utilities	string	—	EIA_ATLAS	Type of the nearest gas pipeline — Interstate or Intrastate (source TYPEPIPE).	—
`gas_pipelines_within_radius_count`	utilities	int	—	EIA_ATLAS	Count of EIA gas pipeline segments within the search radius (pipelines_radius_m).	—
`nearest_petroleum_pipeline_distance_m`	utilities	float	meters	EIA_ATLAS	Distance in meters to the nearest EIA petroleum-product pipeline.	—
`nearest_petroleum_pipeline_operator`	utilities	string	—	EIA_ATLAS	Operator of the nearest petroleum-product pipeline.	—
`nearest_petroleum_pipeline_product`	utilities	string	—	EIA_ATLAS	Commodity carried by the nearest petroleum-product pipeline (e.g. crude oil, refined products, HGL/NGL).	—
`petroleum_pipelines_within_radius_count`	utilities	int	—	EIA_ATLAS	Count of petroleum-product pipeline segments within pipelines_radius_m.	—
`pipelines_radius_m`	utilities	float	meters	EIA_ATLAS	Search radius in meters used for the gas + petroleum pipeline proximity counts.	—
`nearest_interstate_gas_pipeline_distance_m`	utilities	float	meters	HIFLD_GAS_TRANSMISSION_PIPELINES	Unbounded geodesic distance in meters to the nearest EIA INTERSTATE natural-gas transmission trunkline (TYPEPIPE = Interstate).	data_center_siting
`nearest_interstate_gas_pipeline_operator`	utilities	string	—	HIFLD_GAS_TRANSMISSION_PIPELINES	Operator/company of the nearest EIA interstate natural-gas transmission trunkline (source Operator field).	—
`nearest_gas_transmission_pipeline_distance_m`	utilities	float	meters	HIFLD_GAS_TRANSMISSION_PIPELINES	Unbounded geodesic distance in meters to the nearest EIA gas TRANSMISSION pipeline of ANY type (interstate or intrastate).	—
`grid_price_usd_per_mwh`	utilities	float	USD/MWh	MIREYE_MODELED_ENERGY_COST	Grid electricity price expressed per MWh — the EIA state industrial retail price (USD/kWh) x 1000. All-in retail (includes delivery, capital recovery, O&M). Derived; MEDIUM confidence (deterministic unit conversion).	data_center_siting
`modeled_onsite_gas_generation_cost_usd_per_mwh`	utilities	float	USD/MWh	MIREYE_MODELED_ENERGY_COST	MODELED fuel-only cost of on-site natural-gas generation — the EIA state industrial gas price (USD/Mcf) / 1.037 MMBtu/Mcf x 9.5 MMBtu/MWh simple-cycle genset heat rate. NOT a delivered-power quote. Derived; LOW confidence (heat-rate assumption dominates).	data_center_siting
`substations_within_radius_count`	utilities	int	—	EIA_POWER	Count of EIA Atlas electric substations (>=69 kV layer) within substations_radius_m (10 km) of the point.	site_selection, data_center_siting, grid_interconnect
`substations_radius_m`	utilities	float	meters	EIA_POWER	Search radius (meters) used for substations_within_radius_count — the fixed 10 km band.	site_selection, data_center_siting, grid_interconnect
`estimated_annual_power_cost_usd_per_mw`	utilities	float	USD/MW/year	MIREYE_MODELED_ENERGY_COST	DERIVED annual energy cost per MW of continuous (100% load-factor) load at the EIA state industrial retail rate (price x 8,760,000 kWh/MW-yr). A cross-market planning figure, NOT a tariff quote. Derived; MEDIUM confidence (deterministic unit conversion).	data_center_siting
`transmission_redundancy_flag`	utilities	bool	—	MIREYE_DERIVED_SITING	DERIVED screening flag — True when >=2 mapped transmission segments lie within ~2 km AND >=3 substations within 10 km (EIA Atlas / HIFLD map topology). Indicates multiple potential feed paths EXIST ON THE MAP, not a deliverability or N-1 claim. Derived; MEDIUM confidence.	site_selection, data_center_siting, grid_interconnect
`grading_difficulty_class`	terrain	string	—	MIREYE_DERIVED_SITING	DERIVED civil-engineering grading class from the point-sampled 3DEP slope: flat (<2 deg), moderate (2-8 deg), difficult (>8 deg). A screening rule of thumb, not a code standard. Derived; MEDIUM confidence.	site_selection, solar_siting, wind_siting, storage_siting, data_center_siting
`residential_context_class_1km`	hazards	string	—	MIREYE_DERIVED_SITING	DERIVED categorical band of 2020 Census housing units within 1 km: isolated (0), sparse (1-49), moderate (50-499), dense (>=500). A community-pushback exposure proxy, NOT a nearest-residence distance. Derived; MEDIUM confidence.	site_selection, data_center_siting
`nearest_class_i_area_distance_m`	hazards	float	meters	EPA_CLASS_I_AREAS	Geodesic distance to the nearest EPA mandatory Class I federal area (national park / wilderness > 6000 acres); 0 when the point lies inside one.	data_center_siting
`nearest_class_i_area_name`	hazards	str	—	EPA_CLASS_I_AREAS	Name of the nearest Class I federal area (e.g. “Yosemite NP”, “Sequoia NP”).	data_center_siting
`nearest_class_i_area_agency`	hazards	str	—	EPA_CLASS_I_AREAS	Managing federal agency of the nearest Class I area (USDI-NPS / USDA-FS / USDI-FWS / BIA).	data_center_siting
`in_air_quality_maintenance`	hazards	bool	—	EPA_GREEN_BOOK	True if the point falls in any current EPA NAAQS maintenance area (a former nonattainment area redesignated to attainment, still under an approved maintenance plan).	data_center_siting
`air_quality_maintenance_pollutants`	hazards	string	—	EPA_GREEN_BOOK	Comma-joined distinct pollutant names for which the point is in a maintenance area (e.g. “Ozone (2008),CO”).	data_center_siting
`interconnection_queue_active_capacity_pjm_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the PJM interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_miso_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the MISO interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_ercot_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the ERCOT interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_caiso_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the CAISO interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_spp_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the SPP interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_nyiso_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the NYISO interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_isone_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to the ISO-NE interconnection queue (LBNL ‘Queued Up’ project-level region attribution).	—
`interconnection_queue_active_capacity_west_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to LBNL’s non-ISO ‘West’ bucket — projects interconnecting through non-CAISO Western utilities (BPA, PacifiCorp, APS, WAPA…), NOT an organized ISO/RTO market.	—
`interconnection_queue_active_capacity_southeast_mw`	utilities	float	MW	LBNL_QUEUED_UP	Active-queue nameplate MW in the containing county attributed to LBNL’s non-ISO ‘Southeast’ bucket — projects interconnecting through Southeastern utilities (Duke, Southern Company, TVA, FPL…), NOT an organized ISO/RTO market.	—
`iso_rto`	utilities	string	—	HIFLD_ISO_RTO	ISO/RTO electricity market whose territory footprint contains the point (PJM, MISO, ERCOT, CAISO, SPP, NYISO, or ISO-NE), from the HIFLD/ORNL Independent System Operators polygons (2019-era delineation, point-in-polygon).	grid_interconnect
`nearest_hospital_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open hospital (Overture places, conflated Meta/Microsoft/Foursquare POI data; confidence >= 0.5, US only).	site_selection, points_of_interest
`nearest_hospital_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open hospital (Overture places).	points_of_interest
`nearest_fire_station_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open fire station (Overture places; confidence >= 0.5, US only).	site_selection, points_of_interest
`nearest_fire_station_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open fire station (Overture places).	points_of_interest
`nearest_school_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open school, preschool through K-12 (Overture places; confidence >= 0.5, US only).	site_selection, points_of_interest
`nearest_school_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open school (Overture places).	points_of_interest
`nearest_grocery_store_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open grocery store or supermarket (Overture places; confidence >= 0.5, US only).	site_selection, points_of_interest
`nearest_lodging_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open lodging (hotel/motel/resort/hostel; Overture places; confidence >= 0.5, US only).	site_selection, points_of_interest
`poi_count_1km`	built_environment	int	—	OVERTURE_PLACES	Count of Overture places (points of interest / amenities) within 1 km of the point — restaurants, cafes, bars, shops, gas stations, pharmacies, banks, schools, and every other POI category (confidence >= 0.5, permanently-closed records excluded, US only).	site_selection, points_of_interest
`nearest_major_road_class`	built_environment	string	—	OVERTURE_TRANSPORTATION	Overture road class of the nearest major road (motorway / trunk / primary / secondary).	site_selection
`nearest_road_distance_m`	built_environment	float	meters	OVERTURE_TRANSPORTATION	Geodesic distance to the nearest vehicular Overture road of any class within the 500 m query radius (pedestrian/cycle classes excluded).	—
`nearest_road_name`	built_environment	string	—	OVERTURE_TRANSPORTATION	Primary name of the nearest vehicular Overture road of any class.	—
`nearest_road_class`	built_environment	string	—	OVERTURE_TRANSPORTATION	Overture road class of the nearest vehicular road (motorway / trunk / primary / secondary / tertiary / residential / service / unclassified / …; pedestrian/cycle classes are excluded from the search).	—
`nearest_road_surface`	built_environment	string	—	OVERTURE_TRANSPORTATION	Surface of the nearest vehicular Overture road (paved / unpaved / gravel / dirt / …), from the first road_surface rule on the segment.	—
`roads_within_500m_count`	built_environment	int	—	OVERTURE_TRANSPORTATION	Count of vehicular Overture road segments within 500 m of the point (pedestrian/cycle classes excluded).	site_selection
`total_road_length_within_500m_m`	built_environment	float	meters	OVERTURE_TRANSPORTATION	Summed centerline length in meters of vehicular Overture road segments clipped to a 500 m radius disc around the point (pedestrian/cycle classes excluded).	—
`nearest_usgs_gage_id`	utilities	string	—	USGS_NWIS_OGC	Monitoring-location id (e.g. USGS-08075900) of the nearest USGS gage that reported a daily-mean discharge within the last 7 days, within ~10 km.	—
`nearest_usgs_gage_name`	utilities	string	—	USGS_NWIS_OGC	Station name of the nearest actively-reporting USGS discharge gage (from the monitoring-locations collection).	—
`nearest_usgs_gage_distance_m`	utilities	float	meters	USGS_NWIS_OGC	Geodesic distance to the nearest USGS gage that reported a daily-mean discharge within the last 7 days.	—
`nearest_usgs_gage_daily_discharge_cfs`	utilities	float	cubic feet per second	USGS_NWIS_OGC	Latest daily-mean streamflow (discharge, USGS parameter 00060) at the nearest actively-reporting USGS gage. The reading date is disclosed in the field notes; daily values lag ~1 day.	data_center_siting
`fema_flood_zone`	terrain	str	—	FEMA_NFHL	FEMA NFHL flood-zone code at the queried point (e.g. AE, VE, X, A, AO), from the SFHA-driving polygon where multiple intersect.	data_center_siting
`flood_zone_subtype`	terrain	str	—	FEMA_NFHL	FEMA NFHL zone subtype (ZONE_SUBTY) at the point, e.g. FLOODWAY, “0.2 PCT ANNUAL CHANCE FLOOD HAZARD”, or a coastal-A / LiMWA descriptor.	—
`coastal_high_hazard`	terrain	bool	—	FEMA_NFHL	True if the FEMA flood zone is V-family (V/VE/V1-30) — a coastal high-hazard area subject to high-velocity wave action (breaking waves >= 3 ft).	—
`fema_base_flood_elevation`	terrain	float	feet	FEMA_NFHL	FEMA Base Flood Elevation (STATIC_BFE) at the point, NAVD88, when the intersecting polygon carries one on a NAVD88 datum.	—
`wetland_fraction_of_parcel`	parcels	float	—	USFWS_NWI	Fraction (0.0-1.0) of the matched Regrid parcel’s own boundary covered by USFWS NWI wetland polygons — the parcel share, computed by intersecting NWI wetlands with the parcel boundary in the parcel’s local UTM (equal-area) projection. NOT the whole mapped wetland polygon’s size (see the terrain-layer wetland_acres for that).	—
`wetland_acres_on_parcel`	parcels	float	acre	USFWS_NWI	Absolute acres of USFWS NWI wetland polygon area intersecting the matched Regrid parcel’s own boundary — the parcel-clipped wetland acreage, computed in the parcel’s local UTM (equal-area) projection. NOT the whole mapped wetland polygon’s size (see the terrain-layer wetland_acres for that).	site_selection
`dhi_annual_kwh_m2_day`	climate	float	kWh/m2/day	NREL_NSRDB_GOES_TMY_V4	Annual diffuse horizontal irradiance sum (kWh/m2/day) from one NREL NSRDB GOES-TMY year — the portion of GHI arriving as diffuse (non-beam) sky light.	—
`diffuse_fraction_annual`	climate	float	—	NREL_NSRDB_GOES_TMY_V4	Annual diffuse fraction (ΣDHI/ΣGHI, 0-1) from one NREL NSRDB GOES-TMY year — the share of global irradiance arriving as diffuse (non-beam) light.	—
`clearsky_ghi_annual_kwh_m2_day`	climate	float	kWh/m2/day	NREL_NSRDB_GOES_TMY_V4	Annual clear-sky (cloud-free-modeled) global horizontal irradiance sum (kWh/m2/day) from one NREL NSRDB GOES-TMY year — the theoretical maximum GHI absent clouds and aerosols.	—
`clearsky_dni_annual_kwh_m2_day`	climate	float	kWh/m2/day	NREL_NSRDB_GOES_TMY_V4	Annual clear-sky direct normal irradiance sum (kWh/m2/day) from one NREL NSRDB GOES-TMY year — the theoretical maximum beam irradiance absent clouds and aerosols.	—
`clear_sky_ratio_ghi_annual`	climate	float	—	NREL_NSRDB_GOES_TMY_V4	Annual clear-sky ratio for GHI (ΣGHI/ΣClearsky GHI, 0-1) from one NREL NSRDB GOES-TMY year — the fraction of the theoretical clear-sky global irradiance actually realized once clouds and aerosols are accounted for.	—
`dni_clear_sky_ratio_annual`	climate	float	—	NREL_NSRDB_GOES_TMY_V4	Annual clear-sky ratio for DNI (ΣDNI/ΣClearsky DNI, 0-1) from one NREL NSRDB GOES-TMY year — the fraction of the theoretical clear-sky beam irradiance actually realized.	—
`aerosol_optical_depth_annual_mean`	climate	float	—	NREL_NSRDB_GOES_TMY_V4	Annual mean aerosol optical depth (dimensionless, MERRA-2-derived) from one NREL NSRDB GOES-TMY year — atmospheric aerosol loading (haze, smoke, dust) that scatters and absorbs irradiance.	—
`precipitable_water_annual_mean_cm`	climate	float	cm	NREL_NSRDB_GOES_TMY_V4	Annual mean total-column precipitable water (cm, MERRA-2-derived) from one NREL NSRDB GOES-TMY year — atmospheric water vapor that attenuates irradiance.	—
`near_surface_wind_speed_annual_mean_ms`	climate	float	m/s	NREL_NSRDB_GOES_TMY_V4	Annual mean near-surface (10 m) wind speed (m/s, MERRA-2-derived) from one NREL NSRDB GOES-TMY year — used to estimate PV module cooling and thermal derate.	—
`poa_irradiance_optimal_tilt_kwh_m2_yr`	climate	float	kWh/m2/yr	NREL_PVWATTS_V8	Annual plane-of-array irradiance — the sum of the 12 monthly PVWatts poa_monthly values (each already kWh/m2 for that month) — at the advertised optimal fixed tilt (\|lat\|), open-rack. From the SAME NREL PVWatts v8 call that yields capacity factor / specific yield.	—
`soil_ponding_frequency_class`	terrain	string	—	USDA_SSURGO	Worst-case ponding frequency class (None / Rare / Occasional / Frequent / Very frequent) of the dominant SSURGO component, aggregated across its 12 monthly comonth records via Soil Data Access.	—
`developable_acres_proxy`	parcels	float	acre	MIREYE_DERIVED_SITING	DERIVED Regrid parcel acreage net of parcel-clipped NWI wetland overlap only, floored at 0. A screening proxy, NOT a survey or buildable-area determination. Rides the metered Regrid parcel root (no extra paid call). Derived; MEDIUM confidence.	site_selection
`btm_gas_candidacy_flag`	utilities	bool	—	MIREYE_DERIVED_SITING	DERIVED knockout screen for on-site (behind-the-meter) gas-generation candidacy: an EIA interstate gas pipeline within 10 km (formula v2, distance-only; v1’s shale-play conjunct was dropped — shale membership gates wellhead gas, not transported gas). NOT a deliverability claim. Derived; MEDIUM confidence.	data_center_siting
`tax_incentive_stack`	built_environment	string	—	MIREYE_DERIVED_SITING	DERIVED comma-joined federal-incentive flags (opportunity_zone, brownfield_repowering_screened). Indicative only, NOT a benefits determination. Empty string = no flag fired. Derived; MEDIUM confidence.	site_selection, data_center_siting
`near_epa_repowering_site`	built_environment	bool	—	MIREYE_DERIVED_SITING	DERIVED companion bool to tax_incentive_stack: an EPA RE-Powering screened contaminated/disturbed site within 1 km. Survives a partial-input failure independently of the joined stack. Derived; MEDIUM confidence.	site_selection, data_center_siting
`soil_hydrologic_group`	terrain	string	—	USDA_SSURGO	USDA SSURGO hydrologic soil group of the dominant component (A/B/C/D and dual A/D, B/D, C/D; first letter = artificially-drained condition, second = natural undrained state).	solar_siting, storage_siting, data_center_siting
`soil_restrictive_layer_depth_cm`	terrain	float	cm	USDA_SSURGO	Representative depth (cm) to the top of the shallowest root/water-restrictive layer in the dominant SSURGO component (0-200 cm; 200 or null = no restriction found within the described 200 cm profile, right-censored — not a measured 2 m depth).	wind_siting, data_center_siting
`soil_restrictive_layer_kind`	terrain	string	—	USDA_SSURGO	Type of the shallowest root/water-restrictive layer in the dominant SSURGO component (e.g. Lithic bedrock, Paralithic bedrock, Densic material, Duripan, Fragipan).	wind_siting, data_center_siting
`soil_available_water_capacity`	terrain	float	cm/cm	USDA_SSURGO	Plant-available water capacity of the dominant SSURGO component as a volume fraction (cm water per cm soil, ~0.01-0.30) between field capacity and wilting point — a ratio, not a total-water depth.	solar_siting
`soil_erodibility_k_factor`	terrain	float	—	USDA_SSURGO	USLE/RUSLE whole-soil erodibility factor (Kw) of the dominant SSURGO component — a dimensionless index (~0.02-0.69, higher = more erodible).	solar_siting, data_center_siting
`nearest_power_plant_operator`	utilities	string	—	EIA_ATLAS	Operating utility of the nearest EIA power plant (EIA-860 Utility_Na, the company ‘responsible for day-to-day operations’).	data_center_siting, grid_interconnect
`nearest_power_plant_technology`	utilities	string	—	EIA_ATLAS	Generation technology (prime mover + fuel) of the nearest EIA power plant (EIA-860 tech_desc).	data_center_siting, grid_interconnect
`free_cooling_hours_per_year_15c`	climate	int	hours/year	NREL_NSRDB_GOES_TMY_V4	Count of hours per typical meteorological year (NREL NSRDB GOES-TMY) with dry-bulb air temperature at or below 15 °C — a conservative dry-bulb airside-economizer PROXY (formula v1), NOT an energy model. The companion free_cooling_hours_per_year_10c uses a 10 °C conservative band.	data_center_siting
`free_cooling_hours_per_year_10c`	climate	int	hours/year	NREL_NSRDB_GOES_TMY_V4	Count of hours per typical meteorological year (NREL NSRDB GOES-TMY) with dry-bulb air temperature at or below 10 °C — a conservative dry-bulb airside-economizer PROXY (formula v1) with extra headroom for fan gain and tighter supply-air setpoints. The companion free_cooling_hours_per_year_15c uses a 15 °C band.	data_center_siting
`onsite_solar_potential_mwac_low`	parcels	float	MWac	MIREYE_DERIVED_SITING	DERIVED lower bound of nameplate utility-scale PV potential on the GROSS Regrid parcel acreage at NREL land-use density (formula v1: parcel acres / 10 ac/MWac). A sizing prior, NOT a design (ignores setbacks, wetlands, geometry, zoning, interconnection). Rides the metered Regrid parcel root (no extra paid call). Derived; MEDIUM confidence.	site_selection
`onsite_solar_potential_mwac_high`	parcels	float	MWac	MIREYE_DERIVED_SITING	DERIVED upper bound of nameplate utility-scale PV potential on the GROSS Regrid parcel acreage at NREL land-use density (formula v1: parcel acres / 5.5 ac/MWac). A sizing prior, NOT a design (ignores setbacks, wetlands, geometry, zoning, interconnection). Rides the metered Regrid parcel root (no extra paid call). Derived; MEDIUM confidence.	site_selection
`nearest_urban_area_rtt_floor_ms`	utilities	float	milliseconds	MIREYE_DERIVED_SITING	DERIVED speed-of-light-in-fiber round-trip LOWER BOUND (formula v1: 2 × straight-line distance to the nearest Census urban-area boundary ÷ (c/1.468)) — a physical floor, NOT an RTT estimate (real routes are 1.5–3× longer and add equipment latency). 0.0 inside an urban area; null beyond the 100 km input bound. Derived; MEDIUM confidence.	site_selection, data_center_siting
`nearest_proposed_generator_capacity_mw`	utilities	float	megawatts	EIA_860M	Gross nameplate capacity (MW) of the nearest EIA-860M planned / under-construction generator (EIA-860M Planned tab).	storage_siting, grid_interconnect
`nearest_proposed_generator_status`	utilities	string	—	EIA_860M	Development status of the nearest EIA-860M planned generator, decoded from the EIA status code (EIA-860M Planned tab).	storage_siting, grid_interconnect
`nearest_restaurant_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open restaurant — any cuisine, incl. fast food, pizza, diner, steakhouse, food court (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_restaurant_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open restaurant (Overture places).	points_of_interest
`nearest_cafe_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open cafe / coffee shop, incl. tea room and coffee roastery (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_cafe_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open cafe / coffee shop (Overture places).	points_of_interest
`nearest_bar_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open bar / pub, incl. brewery, wine / sports / cocktail bar, lounge, nightlife venue (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_bar_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open bar / pub (Overture places).	points_of_interest
`nearest_gas_station_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open gas / fueling station, incl. truck stop and fuel dock (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_gas_station_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open gas station (Overture places).	points_of_interest
`nearest_pharmacy_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open pharmacy / drugstore (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_pharmacy_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open pharmacy / drugstore (Overture places).	points_of_interest
`nearest_bank_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open bank or credit union (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_bank_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open bank or credit union (Overture places).	points_of_interest
`nearest_shopping_center_distance_m`	built_environment	float	meters	OVERTURE_PLACES	Geodesic distance to the nearest open shopping center, mall, department store, or outlet store (Overture places; confidence >= 0.5, US only).	points_of_interest
`nearest_shopping_center_name`	built_environment	string	—	OVERTURE_PLACES	Name of the nearest open shopping center, mall, department store, or outlet store (Overture places).	points_of_interest
`within_sewer_service_area`	utilities	bool	—	EPA_SEWERSHEDS	True if the queried point falls inside an EPA Sewersheds v1.1 service-area polygon — the modeled/documented catchment area whose wastewater flows to one specific POTW (sewage treatment plant).	site_selection, utilities, data_center_siting
`sewer_service_area_provider`	utilities	string	—	EPA_SEWERSHEDS	CWNS-reported facility (POTW/endpoint) name of the sewershed containing the queried point.	site_selection, utilities, data_center_siting
`sewer_service_area_provenance`	utilities	string	—	EPA_SEWERSHEDS	How the containing sewershed boundary was obtained — utility_sourced (state agency/utility/public GIS) or ml_modeled (EPA hexagon-classifier estimate).	site_selection, utilities, data_center_siting
`nearest_sewer_service_area_distance_m`	utilities	float	meters	EPA_SEWERSHEDS	Geodesic distance to the nearest EPA Sewersheds polygon edge; 0.0 when the point is already within one; null beyond the 50 km search cap.	site_selection, utilities, data_center_siting
`county_population`	built_environment	int	people	CENSUS_PEP	Total resident population of the containing county (Census PEP Vintage 2025 POPESTIMATE2025), keyed by county FIPS.	—
`county_population_growth_1yr_pct`	built_environment	float	percent	CENSUS_PEP	One-year county population change (2025 vs 2024 POPESTIMATE, Census PEP Vintage 2025), as a percentage.	—
`county_net_domestic_migration`	built_environment	int	people	CENSUS_PEP	Net domestic migration for the containing county (Census PEP Vintage 2025 DOMESTICMIG2025), a component of population change.	—
`county_building_permits_total_annual`	built_environment	int	units	CENSUS_BPS	Total residential housing units authorized by building permits in the containing county, latest full year (Census BPS, sum of 1-unit + 2-unit + 3-4 unit + 5+ unit Units).	—
`county_building_permits_sf_annual`	built_environment	int	units	CENSUS_BPS	Single-family (1-unit) housing units authorized by building permits in the containing county, latest full year (Census BPS 1-unit Units).	—
`county_building_permits_yoy_pct`	built_environment	float	percent	CENSUS_BPS	Year-over-year percent change in total permitted housing units for the containing county (latest year vs prior year, Census BPS).	—
`county_hpi_yoy_pct`	built_environment	float	percent	FHFA_HPI	FHFA House Price Index annual percent change for the containing county, latest year (developmental all-transactions county index; the native “Annual Change (%)” column, served verbatim).	—
`county_employment_total`	built_environment	int	jobs	BLS_QCEW	BLS QCEW annual-average covered employment (all ownerships, all industries) for the containing county, latest year.	—
`county_employment_yoy_pct`	built_environment	float	percent	BLS_QCEW	Year-over-year percent change in annual-average covered employment for the containing county (latest year vs prior year, BLS QCEW).	—
`county_median_household_income`	built_environment	int	USD	CENSUS_ACS	ACS 5-year pooled median household income (table B19013 estimate) for the containing county, in USD.	—
`tract_civilian_labor_force`	built_environment	int	people	CENSUS_TRACT_WORKFORCE	Residents aged 16+ in the civilian labor force in this census tract (ACS 5-year B23025, 2020 tract geography).	—
`tract_population`	built_environment	int	people	CENSUS_TRACT_WORKFORCE	Total population of this census tract (2020 population-weighted centroid file, CenPop2020).	—
`within_water_service_area`	utilities	bool	—	EPA_CWS_SERVICE_AREAS	True if the queried point falls inside a mapped EPA Community Water System (CWS) service-area boundary — the area a public water system reports serving. Sourced from EPA PWS Service Areas V3.0 (March 2026).	site_selection, utilities, data_center_siting
`water_system_name`	utilities	string	—	EPA_CWS_SERVICE_AREAS	Name of the EPA community water system whose mapped service-area polygon contains the point (the most-specific polygon when service areas overlap).	site_selection, utilities, data_center_siting
`nearest_rcra_tsd_distance_m`	hazards	float	m	EPA_RCRA_TSD	Straight-line distance to the nearest active RCRA-permitted hazardous-waste Treatment, Storage and Disposal (TSD) facility within an 8 km screening band (EPA Facility Registry Service).	site_selection, data_center_siting
`rcra_tsd_facilities_within_radius_count`	hazards	int	—	EPA_RCRA_TSD	Count of active RCRA-permitted hazardous-waste Treatment, Storage and Disposal (TSD) facilities within 8 km of the point.	site_selection, data_center_siting
`nearest_wastewater_plant_distance_m`	utilities	float	meters	EPA_CWNS	Geodesic distance to the nearest wastewater treatment plant in EPA’s Clean Watersheds Needs Survey 2022; null beyond the 50 km screening band.	site_selection, utilities, data_center_siting
`nearest_wastewater_plant_name`	utilities	string	—	EPA_CWNS	CWNS-reported facility name of the nearest wastewater treatment plant, passed through verbatim.	site_selection, utilities, data_center_siting
`nearest_wastewater_plant_population_served`	utilities	int	—	EPA_CWNS	Residential population served by the nearest wastewater treatment plant per CWNS 2022, including population from upstream collection systems that discharge into it. A measure of plant scale, not spare capacity.	site_selection, utilities, data_center_siting
`nearest_water_service_area_distance_m`	utilities	float	meters	EPA_CWS_SERVICE_AREAS	Geodesic distance to the nearest mapped EPA CWS service-area polygon edge; 0.0 when the point is already inside one; null beyond the 50 km search cap.	site_selection, utilities, data_center_siting
`water_service_area_provenance`	utilities	string	—	EPA_CWS_SERVICE_AREAS	How the containing CWS service-area boundary was obtained — utility_sourced (state agency/utility/public GIS submission) or ml_modeled (EPA machine-learning estimate).	site_selection, utilities, data_center_siting
`nearest_ust_facility_distance_m`	hazards	float	meters	EPA_UST_FINDER_FACILITIES	Geodesic distance to the nearest underground-storage-tank facility in EPA’s UST Finder national composite (open or closed tanks); null beyond the 8 km screening band.	site_selection, data_center_siting
`ust_facilities_within_1km_count`	hazards	int	—	EPA_UST_FINDER_FACILITIES	Exact count of EPA UST Finder underground-storage-tank facilities within 1 km — a density signal for historical fuel-retail and fleet-fueling land use, not a contamination count.	site_selection, data_center_siting
`open_lust_sites_within_1km_count`	hazards	int	—	EPA_UST_FINDER_RELEASES	Exact count of leaking-underground-storage-tank (LUST) release sites within 1 km whose state cleanup status reads Open in EPA’s UST Finder snapshot.	site_selection, data_center_siting
`in_karst_area`	hazards	bool	—	USGS_KARST	True if the queried point falls inside a USGS-mapped area of karst or pseudokarst — rock units that have developed, or have the potential to develop, dissolution or collapse features including sinkholes, caves and lava tubes.	natural_hazard
`karst_type`	hazards	string	—	USGS_KARST	Which ground-collapse mechanism the containing map unit represents — one of carbonate, evaporite, sandstone_solution, volcanic_pseudokarst, piping_pseudokarst or thermokarst.	natural_hazard
`karst_exposure_class`	hazards	string	—	USGS_KARST	How deeply the soluble rock is buried — one of exposed, buried_under_insoluble_cover, buried_under_thin_glacial_cover or buried_under_thick_glacial_cover.	natural_hazard
`nearest_documented_orphaned_well_distance_m`	hazards	float	m	USGS_ORPHANED_WELLS	Geodesic distance in metres to the nearest documented unplugged orphaned oil or gas well in the USGS DOW dataset, searched within a 50 km screening band. Covers 27 states only.	data_center_siting
`documented_orphaned_wells_within_1km_count`	hazards	int	—	USGS_ORPHANED_WELLS	Exact count of documented unplugged orphaned oil and gas wells within 1 km of the queried point, from the USGS DOW dataset. A 0 and a null mean different things — null means the state has no inventory in this dataset at all.	data_center_siting
`domestic_well_households_per_km2`	utilities	float	households/km2	USGS_SELF_SUPPLIED_HOUSEHOLDS	Modelled self-supplied (private-well) households per km², averaged over the 3 km × 3 km neighbourhood containing the point. USGS downscales a 2020 census-block self-supplied/publicly-supplied classification to a 1 km grid. Conterminous US only.	site_selection, utilities, data_center_siting
`domestic_well_household_density_class`	utilities	string	—	USGS_SELF_SUPPLIED_HOUSEHOLDS	Coarse class over the same modelled self-supplied-household density — none / sparse / moderate / dense / very_dense. Frozen physical bands, not quantiles.	site_selection, utilities, data_center_siting
`fire_hazard_severity_zone_class`	hazards	string	—	CALFIRE_FHSZ	CAL FIRE (Office of the State Fire Marshal) regulatory Fire Hazard Severity Zone class at the queried point: Moderate, High, Very High, or Non-Wildland. California-only; null outside California and on Federal Responsibility Area land, which CAL FIRE does not zone.	wildfire_underwrite, natural_hazard
`fire_hazard_responsibility_area`	hazards	string	—	CALFIRE_FHSZ	Which wildfire-protection responsibility area the queried point falls in — SRA (state, CAL FIRE-protected) or LRA (local). Determines whether the accompanying fire_hazard_severity_zone_class is statutory in all classes (SRA) or only at Very High (LRA). California-only.	wildfire_underwrite, natural_hazard
`air_quality_ozone_status`	hazards	string	—	EPA_GREEN_BOOK	Ozone NAAQS designation at the point (Attainment, Maintenance, or Nonattainment), maximizing status independently across the 2008 and 2015 ozone standards (most-stringent wins).	data_center_siting
`air_quality_ozone_classification`	hazards	string	—	EPA_GREEN_BOOK	CAA §181 ozone-area classification (Marginal, Moderate, Serious, Severe, or Extreme), taking the most-stringent value across the 2008 and 2015 ozone standards.	data_center_siting
`air_quality_pm25_status`	hazards	string	—	EPA_GREEN_BOOK	PM2.5 (2012 standard) NAAQS designation at the point (Attainment, Maintenance, or Nonattainment).	data_center_siting
`air_quality_pm25_classification`	hazards	string	—	EPA_GREEN_BOOK	CAA §188 PM2.5-area classification (Moderate or Serious).	data_center_siting
`air_quality_pm10_status`	hazards	string	—	EPA_GREEN_BOOK	PM10 (1987 standard) NAAQS designation at the point (Attainment, Maintenance, or Nonattainment).	data_center_siting
`air_quality_pm10_classification`	hazards	string	—	EPA_GREEN_BOOK	CAA §188 PM10-area classification (Moderate or Serious).	data_center_siting
`air_quality_co_status`	hazards	string	—	EPA_GREEN_BOOK	Carbon monoxide (1971 standard) NAAQS designation at the point (Attainment, Maintenance, or Nonattainment).	data_center_siting
`air_quality_co_classification`	hazards	string	—	EPA_GREEN_BOOK	CAA §186 CO-area classification (Moderate or Serious), normalized from EPA’s design-value-qualified labels.	data_center_siting
`air_quality_so2_status`	hazards	string	—	EPA_GREEN_BOOK	Sulfur dioxide (2010 standard) NAAQS designation at the point (Attainment, Maintenance, or Nonattainment).	data_center_siting
`air_quality_so2_classification`	hazards	string	—	EPA_GREEN_BOOK	Always null — EPA does not publish a severity classification for SO2 areas.	data_center_siting
`air_quality_no2_status`	hazards	string	—	EPA_GREEN_BOOK	Nitrogen dioxide (1971 standard, direct NO2) NAAQS designation at the point (Attainment almost everywhere, Maintenance, or Nonattainment).	data_center_siting
`air_quality_no2_classification`	hazards	string	—	EPA_GREEN_BOOK	Always null — EPA does not publish a severity classification for NO2 areas.	data_center_siting
`air_quality_lead_status`	hazards	string	—	EPA_GREEN_BOOK	Lead (2008 standard) NAAQS designation at the point (Attainment, Maintenance, or Nonattainment).	data_center_siting
`air_quality_lead_classification`	hazards	string	—	EPA_GREEN_BOOK	Always null — EPA does not publish a severity classification for lead areas.	data_center_siting
`nearest_fire_perimeter_distance_m`	hazards	float	m	CALFIRE_FRAP	Geodesic distance in metres from the queried point to the BOUNDARY of the nearest CAL FIRE FRAP historical wildfire perimeter (Firep25_1, 23,334 perimeters covering fires 1878 through 2025). Exactly 0 when the point is inside a recorded perimeter. The search is capped at 8,000 m; beyond that the field is absent, meaning “no recorded perimeter within 8,000 m”, not “no fire nearby”. California-only.	wildfire_underwrite, natural_hazard
`most_recent_burn_year`	hazards	int	—	CALFIRE_FRAP	Burn year of the governing CAL FIRE FRAP historical wildfire perimeter at the queried point: the most recent year among ALL perimeters containing the point when the point is inside one, otherwise the year of the single geometrically nearest perimeter within the 8,000 m search cap (Firep25_1, fires 1878 through 2025). California-only.	wildfire_underwrite, natural_hazard
`pm25_annual_design_value_ugm3`	hazards	float	µg/m3	EPA_AQS_DESIGN_VALUES	EPA design-value concentration for the annual PM2.5 NAAQS (2023-2025 window) at the nearest AQS monitor with a currently-valid design value for this standard — not a measurement at the queried coordinate. Micrograms per cubic meter.	—
`pm25_annual_monitor_aqs_site_id`	hazards	string	—	EPA_AQS_DESIGN_VALUES	EPA AQS Site ID of the monitor that supplied pm25_annual_design_value_ugm3, in the SS-CCC-NNNN printed form. Identifies which physical monitor the value came from, not the queried coordinate itself.	—
`pm25_annual_monitor_distance_m`	hazards	float	meters	EPA_AQS_DESIGN_VALUES	Straight-line geodesic distance, in meters, from the queried coordinate to the monitor that supplied pm25_annual_design_value_ugm3. No radius cap — reports the honest distance even where it is large.	—
`pm25_24hr_design_value_ugm3`	hazards	float	µg/m3	EPA_AQS_DESIGN_VALUES	EPA design-value concentration for the 24-hour PM2.5 NAAQS (98th-percentile form, 2023-2025 window) at the nearest AQS monitor with a currently-valid design value for this standard — not a measurement at the queried coordinate. Micrograms per cubic meter.	—
`pm25_24hr_monitor_aqs_site_id`	hazards	string	—	EPA_AQS_DESIGN_VALUES	EPA AQS Site ID of the monitor that supplied pm25_24hr_design_value_ugm3, in the SS-CCC-NNNN printed form. Identifies which physical monitor the value came from, not the queried coordinate itself.	—
`pm25_24hr_monitor_distance_m`	hazards	float	meters	EPA_AQS_DESIGN_VALUES	Straight-line geodesic distance, in meters, from the queried coordinate to the monitor that supplied pm25_24hr_design_value_ugm3. No radius cap — reports the honest distance even where it is large.	—
`no2_annual_design_value_ppb`	hazards	float	ppb	EPA_AQS_DESIGN_VALUES	EPA design-value concentration for the annual NO2 NAAQS (single calendar year 2025, 1971-standard methodology) at the nearest AQS monitor with a currently-valid design value for this standard — not a measurement at the queried coordinate. Parts per billion.	—
`no2_annual_monitor_aqs_site_id`	hazards	string	—	EPA_AQS_DESIGN_VALUES	EPA AQS Site ID of the monitor that supplied no2_annual_design_value_ppb, in the SS-CCC-NNNN printed form. Identifies which physical monitor the value came from, not the queried coordinate itself.	—
`no2_annual_monitor_distance_m`	hazards	float	meters	EPA_AQS_DESIGN_VALUES	Straight-line geodesic distance, in meters, from the queried coordinate to the monitor that supplied no2_annual_design_value_ppb. No radius cap — reports the honest distance even where it is large.	—
`no2_1hr_design_value_ppb`	hazards	float	ppb	EPA_AQS_DESIGN_VALUES	EPA design-value concentration for the 1-hour NO2 NAAQS (98th-percentile-of-daily-max form, 2023-2025 window) at the nearest AQS monitor with a currently-valid design value for this standard — not a measurement at the queried coordinate. Parts per billion.	—
`no2_1hr_monitor_aqs_site_id`	hazards	string	—	EPA_AQS_DESIGN_VALUES	EPA AQS Site ID of the monitor that supplied no2_1hr_design_value_ppb, in the SS-CCC-NNNN printed form. Identifies which physical monitor the value came from, not the queried coordinate itself.	—
`no2_1hr_monitor_distance_m`	hazards	float	meters	EPA_AQS_DESIGN_VALUES	Straight-line geodesic distance, in meters, from the queried coordinate to the monitor that supplied no2_1hr_design_value_ppb. No radius cap — reports the honest distance even where it is large.	—
`easement_fraction_of_parcel`	parcels	float	—	USGS_PADUS	Fraction (0.0-1.0) of the matched Regrid parcel’s own boundary encumbered by PAD-US conservation easement polygons — the parcel share, computed by intersecting easements with the parcel boundary in the parcel’s local UTM (equal-area) projection. NOT the whole mapped easement polygon’s size (see easement_acres for that).	—
`easement_acres_on_parcel`	parcels	float	acres	USGS_PADUS	Absolute acres of PAD-US conservation easement area intersecting the matched Regrid parcel’s own boundary — the parcel-clipped encumbered acreage, computed in the parcel’s local UTM (equal-area) projection. NOT the whole mapped easement polygon’s size (see easement_acres for that).	—
`nearest_osm_transmission_line_distance_m`	utilities	float	meters	OPENINFRAMAP_OSM	Exact distance to the nearest non-disused OpenStreetMap transmission line within 25 km.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_line_voltage_kv`	utilities	float	kV	OPENINFRAMAP_OSM	Maximum normalized published voltage of the same nearest OSM transmission line.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_line_circuits`	utilities	int	—	OPENINFRAMAP_OSM	Normalized published circuit count on the same nearest OSM transmission line.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_line_operator`	utilities	string	—	OPENINFRAMAP_OSM	Normalized published operator of the same nearest OSM transmission line.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_line_lifecycle`	utilities	string	—	OPENINFRAMAP_OSM	Lifecycle of the same nearest line as active or construction.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_substation_distance_m`	utilities	float	meters	OPENINFRAMAP_OSM	Exact distance to the nearest non-disused mapped OSM substation within 25 km.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_substation_name`	utilities	string	—	OPENINFRAMAP_OSM	Published name of the same nearest OSM substation feature.	utilities, storage_siting, grid_interconnect
`nearest_osm_substation_max_voltage_kv`	utilities	float	kV	OPENINFRAMAP_OSM	Maximum normalized published voltage on the same nearest OSM substation.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_substation_operator`	utilities	string	—	OPENINFRAMAP_OSM	Normalized published operator of the same nearest OSM substation.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_substation_type`	utilities	string	—	OPENINFRAMAP_OSM	Normalized type of the same nearest substation as transmission, distribution, switching, or unknown.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_transformer_distance_m`	utilities	float	meters	OPENINFRAMAP_OSM	Distance to the nearest mapped transformer with a winding at or above 69 kV within 25 km.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_transformer_primary_voltage_kv`	utilities	float	kV	OPENINFRAMAP_OSM	Normalized primary voltage of the same nearest transmission-scale transformer.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_transformer_secondary_voltage_kv`	utilities	float	kV	OPENINFRAMAP_OSM	Normalized secondary voltage of the same nearest transmission-scale transformer.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_osm_transmission_transformer_rating_mva`	utilities	float	MVA	OPENINFRAMAP_OSM	Strictly parsed nameplate MVA published for the same nearest transformer.	utilities, storage_siting, data_center_siting, grid_interconnect
`osm_grid_search_radius_m`	utilities	float	meters	OPENINFRAMAP_OSM	Fixed search radius used for all OpenInfraMap line, substation, and transformer observations.	utilities, storage_siting, data_center_siting, grid_interconnect
`nearest_power_plant_sector`	utilities	string	—	EIA_ATLAS	EIA-860 sector of the nearest power plant — one of “Electric Utility”, “IPP Non-CHP”, “IPP CHP”, “Commercial CHP”, “Commercial Non-CHP”, “Industrial CHP”, “Industrial Non-CHP”. EIA classifies a generator by its operator’s primary line of business, not by whether it physically exports to the grid.	data_center_siting, grid_interconnect
`open_ocean_distance_m`	terrain	float	meters	NATURAL_EARTH_OCEAN	Geodesic distance to the OPEN SEA, where open sea means the water still connected to the deep ocean once every entrance narrower than 20 km is sealed - that is, what lies outside the continental landmass. Bays, sounds, estuaries and tidal rivers are INSIDE that boundary, not part of it, so Baltimore Inner Harbor reads about 139 km and Philadelphia about 90 km even though both sit on tidal water. Points on the outer coast read metres (Santa Monica 40 m, Virginia Beach 450 m, Galveston 890 m). This is NOT the same question as coast_distance_m, which measures to the nearest tidal shoreline of any kind and is the right field for river frontage, port access or tidal exposure; at a bay head the two differ by 100 km or more and both are correct. Returns 0 for a point already in open water, and a large distance rather than a null for an inland point (about 1,365 km in Denver). Great Lakes shoreline is not open sea under this definition and is excluded by construction, since the source ocean polygon contains no lakes. Coverage is the US and its offshore approaches, not the whole coordinate envelope: the open-sea polygon is derived over five processing domains covering about 69 percent of the accepted envelope, and every US shoreline sits inside them (asserted at build time). Outside them - the open North Pacific west of 135W below 46N, and north of 56N - the field is ABSENT rather than a number, because out there the polygon’s nearest edge is where a processing box clipped the geometry rather than a coastline, and a distance to that edge would be fiction. No US site is affected.	—

Gated fields

Some recently registered fields (mostly in the climate, hazards, and the newest utilities/parcels additions) are catalog-listed but gated: their bulk datasets are not yet ingested, so they return honest provenance nulls with a notes string explaining the gap instead of fabricated values. They become live per-source as datasets are bootstrapped; nothing about the request shape changes when they do.

Cache TTLs

Each field carries a ttl_seconds hint in /v1/fetch responses reflecting how often the upstream source changes:

Cadence	`ttl_seconds`	Sources
~1 year	31,536,000	BLM_SOLAR_PEIS_2024, CENSUS_TIGERWEB, CENSUS_TIGER_URBAN, EPA_REPOWERING, NATURAL_EARTH_OCEAN, NOAA_ASCE_WIND_VECTORS, NOAA_CUSP, NOAA_NCEI_NORMALS_GRIDDED, NREL_NSRDB_GOES_TMY_V4, NREL_PVWATTS_V8, NREL_REV_LANDBASED_WIND_SC_2024, NREL_SOLAR_RESOURCE_V1, NREL_WIND_TOOLKIT, NSIDC_MODIS_SNOW_COVER_DURATION, OVERTURE_DIVISIONS, USDA_CDL, USDA_SSURGO, USDA_STATSGO, USFS_LCMS, USFS_NLCD_TCC, USFWS_GOEA_RND, USFWS_NWI, USGS_3DEP, USGS_DESIGNMAPS_ASCE7, USGS_IWAA_WATER_BUDGET, USGS_KARST, USGS_LANDSLIDE_SUSCEPTIBILITY, USGS_NHDPLUS_HR, USGS_NSHM, USGS_SELF_SUPPLIED_HOUSEHOLDS, USGS_THERMOELECTRIC_WATER_USE, USGS_WBD, US_CENSUS_GEOCODER
~90 days	7,776,000	CALFIRE_FHSZ, CALFIRE_FRAP
~60 days	5,184,000	CARB_AIR_DISTRICTS
~30 days	2,592,000	BLM_SMA, BLS_QCEW, BTS_NTAD, BTS_PORTS, CENSUS_ACS, CENSUS_BPS, CENSUS_PEP, CENSUS_TRACT_WORKFORCE, EIA_860M, EIA_ELEC_SALES_REVENUE_PRICE, EIA_GAS_INFRASTRUCTURE, EIA_NATURAL_GAS_PRICES, EIA_POWER, EIA_SHALE_PLAYS, EPA_ACRES, EPA_AQS_DESIGN_VALUES, EPA_CLASS_I_AREAS, EPA_CWNS, EPA_CWS_SERVICE_AREAS, EPA_EGRID, EPA_FRS_RMP, EPA_GREEN_BOOK, EPA_RCRA_TSD, EPA_SEMS, EPA_SEWERSHEDS, EPA_UST_FINDER_FACILITIES, EPA_UST_FINDER_RELEASES, FAA_NASR, FCC_BDC_FIXED, FCC_BDC_MOBILE, FEMA_NFHL, FEMA_NRI, FHFA_HPI, FHWA_NBI, HIFLD_GAS_TRANSMISSION_PIPELINES, HIFLD_ISO_RTO, HUD_OPPORTUNITY_ZONES, JRC_GSW, LBNL_QUEUED_UP, MIREYE_DERIVED_SITING, MIREYE_MODELED_ENERGY_COST, NOAA_MARINECADASTRE_SUBMARINE_CABLE, NOAA_NCEI_NCLIMGRID_DAILY, OPENINFRAMAP_OSM, OVERTURE_BUILDINGS, OVERTURE_PLACES, OVERTURE_TRANSPORTATION, USACE_NID, USFWS_CRITHAB, USGS_ORPHANED_WELLS, USGS_PADUS, USGS_SEDIMENTARY_BASINS, USPVDB, USWTDB
~7 days	604,800	FAA_SUA, FCC_ASR, SENTINEL2_NDVI, USDM_CURRENT
~1 day	86,400	EIA_ATLAS, EPA_SDWIS, REGRID, USGS_NWIS_OGC

These are recommendations for downstream caches, not commitments. The underlying values may be updated more or less frequently than the hint suggests — fetched_at is the authoritative “as-of” timestamp.

Data licensing & attribution

Most fields derive from US-government public-domain sources. The open-data sources below additionally require attribution, which we pass through here:

Overture Maps Foundation (© Overture Maps Foundation) — theme licenses differ, matching each source’s declared spdx:
- OVERTURE_PLACES — licensed CDLA-Permissive-2.0 (permissive).
- OVERTURE_BUILDINGS, OVERTURE_TRANSPORTATION, OVERTURE_DIVISIONS — derived from OpenStreetMap (divisions also from geoBoundaries) and licensed under the Open Database License (ODbL), a share-alike + attribution license. Honor attribution and share-alike obligations when redistributing values derived from these themes.
Foursquare OS Places — the Overture places theme (POI-context fields such as nearest_hospital_distance_m and poi_count_1km) includes data from the Foursquare Open Source Places dataset, made available by Foursquare Labs, Inc. under the Apache License, Version 2.0, alongside Meta and Microsoft place data under CDLA-Permissive-2.0. Each place record’s per-source license is carried in Overture’s sources column.
OpenInfraMap / OpenStreetMap contributors — the frozen normalized US transmission-grid observations are licensed under the Open Database License (ODbL). Preserve © OpenStreetMap contributors attribution and the applicable share-alike obligations when redistributing derived values.

Adding fields

The authored catalog lives under catalog/sources/<source-id>/. A new field requires:

Add it to the source’s fields.yaml with its full driver map.
Ensure the attribute_path resolves on the relevant layer response and terminates at a Field_[T] wrapper.
Add it to any relevant presets in catalog/presets.yaml.
Run catalog compile/codegen and regenerate the checked-in catalog and docs artifacts.

Additive field growth does not bump the wire-envelope protocol version. Clients discover new fields through /v1/meta/fields and its ETag.

Ask

Fetch

Runs

Sites

Resolve

Catalog

Reference

How to read this table

All fields

Gated fields

Cache TTLs

Data licensing & attribution

Adding fields

​How to read this table

​All fields

​Gated fields

​Cache TTLs

​Data licensing & attribution

​Adding fields

How to read this table

All fields

Gated fields

Cache TTLs

Data licensing & attribution

Adding fields