West Virginia location data
Isopleth answers questions about any coordinate or street address in West Virginia with 351 public-data fields from 95 sources: flood and wildfire risk, soils and slope, the power grid, water and roads, climate, and county economics. Each value carries its source, license and vintage. Use it from the REST API or through the MCP server in Claude, ChatGPT, Cursor and other assistants.
Parcel coverage in West Virginia
Parcel records: 1,394,081 parcels in 55 counties. Published by WV GIS Technical Center; WV County Assessors; WV Property Tax Division (Public, attribution); Tax year 2023, refreshed annual.
Share of parcels with each column filled: owner name 99%, site address 94%. Not published here: total value, land use, sale date, zoning, year built.
Sample values in West Virginia
What our API returned at the Census Bureau's interior point of West Virginia's 2 largest counties by land area, computed 2026-10-29. One point is not a whole county: values can change within a few hundred meters, so look up your own site. "No data" means the dataset has nothing at that point.
| field | Randolph County | Pocahontas County |
|---|---|---|
| Hazards | ||
| FEMA flood zone | X | X |
| Inside a mapped floodplain | No | No |
| Wildfire, annual frequency | 0.00051 events a year | 0.00048 events a year |
| Tornado, annual frequency | 0.0048 events a year | 0.013 events a year |
| Hail, annual frequency | 1.7 events a year | 1.9 events a year |
| On a mapped wetland | No | No |
| Nearest mapped wetland | 249 m | 151 m |
| Land | ||
| Elevation | 798 m (2,619 ft) | 866 m (2,840 ft) |
| Slope | 17.9° | 9.8° |
| Soil drainage | Well drained | Well drained |
| Soil hydrologic group | B | B |
| Farmland class | Prime | Statewide importance |
| Land use | Forest | Agriculture |
| Crop or cover (CDL) | Deciduous Forest | Grass/Pasture |
| Dominant crop, 5 years | no data | Alfalfa |
| Tree canopy | 92% | 0% |
| On protected land (PAD-US) | No | No |
| Surface manager | Usfs | Usfs |
| Climate & energy | ||
| Annual precipitation (normal) | 1,325 mm (52 in) | 1,161 mm (46 in) |
| Days above 32 °C a year | 0 days | 0 days |
| Solar resource (GHI) | 3.76 kWh/m²/day | 4.01 kWh/m²/day |
| Mean wind speed at 100 m | 6.6 m/s | 5.5 m/s |
| Wind capacity factor | 31% | 37% |
| Infrastructure | ||
| Nearest transmission line | no data | 1.4 km (0.9 mi) |
| Nearest substation (69 kV+) | 7.7 km (4.8 mi) | 1.7 km (1.0 mi) |
| Nearest gas pipeline | 6.0 km (3.7 mi) | 46.2 km (28.7 mi) |
| Electric utility | MONONGAHELA POWER CO | MONONGAHELA POWER CO |
| In a public water service area | No | No |
| Depth to water, nearest monitored well | 2.1 m (7 ft) | 12.7 m (42 ft) |
| Nearest major road | 3.1 km (1.9 mi) | 4.9 km (3.1 mi) |
| Community | ||
| Nearest fire station | 3.4 km (2.1 mi) | 11.4 km (7.1 mi) |
| Nearest hospital | 16.3 km (10.1 mi) | 14.2 km (8.8 mi) |
| Nearest school | 3.4 km (2.1 mi) | 8.5 km (5.3 mi) |
| In an Opportunity Zone | No | No |
County pages
- Randolph County 1,040 sq mi of land
- Pocahontas County 940 sq mi of land
Datasets that returned data at these points
| source | fields |
|---|---|
BLM_SMA Bureau of Land Management | surface_management_agency |
EIA_ATLAS U.S. Energy Information Administration | nearest_gas_pipeline_distance_m, nearest_transmission_line_distance_m |
EIA_POWER U.S. Energy Information Administration | electric_utility_service_territory, nearest_substation_distance_m |
EPA_CWS_SERVICE_AREAS U.S. Environmental Protection Agency | within_water_service_area |
FEMA_NFHL Federal Emergency Management Agency | nfhl_flood_zone, within_floodplain_polygon |
FEMA_NRI Federal Emergency Management Agency | hail_annual_frequency, tornado_annual_frequency, wildfire_annual_frequency |
HUD_OPPORTUNITY_ZONES U.S. Department of Housing and Urban Development | in_opportunity_zone |
JRC_PVGIS_NSRDB See source_url | ghi_annual_kwh_m2_day |
NOAA_NCEI_NCLIMGRID_DAILY National Oceanic and Atmospheric Administration | days_above_32c_annual_count |
NOAA_NCEI_NORMALS_GRIDDED National Oceanic and Atmospheric Administration | annual_precipitation_normal_mm |
NREL_REV_LANDBASED_WIND_SC_2024 NREL reV supply curves, Open Energy Data Initiative (OEDI) | wind_capacity_factor_pct |
NREL_WIND_TOOLKIT NREL WIND Toolkit (Draxl et al., 2015) | mean_wind_speed_100m_ms |
OVERTURE_PLACES © Overture Maps Foundation | nearest_fire_station_distance_m, nearest_hospital_distance_m, nearest_school_distance_m |
OVERTURE_TRANSPORTATION © Overture Maps Foundation, © OpenStreetMap contributors | nearest_major_road_distance_m |
PAD_US USGS Protected Areas Database of the United States (PAD-US) | intersects_protected_area |
USDA_CDL U.S. Department of Agriculture | cdl_class, dominant_crop_5y |
USDA_SSURGO U.S. Department of Agriculture | prime_farmland_classification, soil_drainage_class, soil_hydrologic_group |
USFS_LCMS USDA Forest Service | land_use_class |
USFS_NLCD_TCC USDA Forest Service | tree_canopy_pct |
USFWS_NWI U.S. Fish and Wildlife Service | intersects_wetland, nearest_wetland_distance_m |
USGS_3DEP_COG U.S. Geological Survey | elevation, slope_degrees |
USGS_NWIS_OGC U.S. Geological Survey | nearest_groundwater_well_depth_to_water_m |
These are only the sources behind the fields sampled here. The full list is on Sources & licenses and every field is in the field catalog.
What people use it for in West Virginia
- Land buyers: screen a lot for flood zone, wetlands, slope, soils, road and water access before a site visit; search West Virginia parcels by county, acreage or land use. Buyers who want it written up can order a $29 report on Check the Land, which is built on Isopleth.
- Solar, wind and data-center siting: distance to transmission and substations, solar and wind resource, protected land.
- Insurance and lending: hazard frequencies and floodplain status for every address in a book.
- Real estate and research: county income, growth and house-price trends next to on-the-ground facts.
See use cases for prompts and the exact fields.
Try it
curl https://api.isopleth.dev/v1/fetch -H "Authorization: Bearer $ISOPLETH_KEY" \
-H "Content-Type: application/json" \
-d '{"lat": 38.781095, "lng": -79.867788, "preset": "site_selection"}'
Or ask your assistant: “Using Isopleth, what are the flood zone, slope and soil drainage at 38.7811, -79.8678?”
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