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Local asphalt planning data

Asphalt estimator in Notus city, ID

Use public local data to understand planning conditions in Notus city, ID, then draw the actual asphalton the property map for a measurement-based estimate and quote-ready scope.

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Quality score 100/100. Local data is planning context, not a survey, permit decision, engineering report, or final quote.

Asphalt estimator planning example
AsphaltMap-based project planning

What this page is for

A normal quote form can miss the details that drive price. This page gives local context for asphaltwork in Notus city, ID, while the estimator handles the property-specific layout, measurements, selected options, and quote request.

Population573
Housing / property units212
Median value context$287,000
Housing density215.447 / sq mi

Estimator preview

Draw the actual asphalt on the property map.

Local data explains planning pressure in Notus city, ID. The estimator turns the property-specific layout, selected options, photos, and measurements into a clearer quote request.

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Location context

Notus city, ID planning map

This page uses the official location center as a simple reference point. The estimator still uses the property address and drawn layout for project-specific measurements.

Latitude
43.7184
Longitude
-116.7850
Map zoom
10

Source: Census location centroid, 2025. The graphic is a planning reference, not a parcel map.

Open map reference

Local cost and contractor-market context

Labor signal

United States shows Cement Masons and Concrete Finishers wage context near $27 per hour.

Source: BLS OEWS. Scope national. Vintage 2025.

County labor market

ID has 13,486 Construction establishments and 72,028 average employment, with average weekly pay near $1,361.

Source: BLS QCEW. Scope state. NAICS 23. Vintage 2025.

Regional cost level

Regional price parity context is loaded for United States with an index factor near 100%.

Source: BEA RPP. Scope national. Vintage 2024.

Construction activity

Permit activity shows 18,446 recent permits and a demand factor near 100%.

Source: Census BPS. Scope Idaho state fallback. Vintage 2026-06.

Asphalt details that change the estimate

The local data helps explain cost pressure, but the price still depends on the exact project design. For asphalt work, the highest-impact inputs usually include:

  • paved area
  • asphalt depth
  • base depth
  • existing surface
  • drainage
  • compaction
  • equipment access
  • striping

Weather, soil, and risk notes

Weather and climate

Available normals show 11.71 inches of precipitation.

  • temperature and precipitation affect paving windows and compaction
  • freeze/thaw and drainage influence cracking and base performance

Source: NOAA/NWS context. Scope Notus city, ID local data. Vintage 2006-2020 v1.0.1.

Soil and base prep

USDA STATSGO2 soil context lists Rocky / shallow as the leading group, drainage as Somewhat poorly drained, low clay risk, and an excavation score of 47.

Soil group mix
Rocky / shallow100%
Hydrologic group: CCoverage: centroid_lookupMap units: 1
  • Dominant drainage is Somewhat poorly drained.
  • Hydrologic group C is the leading runoff/base-prep signal.
  • This is a representative center-point soil context, not a full area composition.
  • base stability, drainage, clay, and frost risk can affect asphalt longevity
  • weak subgrade may require more aggregate or undercutting

Source: USDA NRCS STATSGO2. Scope Notus city, ID local data. Vintage 2016-10-13. Broad planning context only, not a geotechnical report.

Mapped hazard context

FEMA hazard context has not been loaded for this area yet.

Source: FEMA risk or flood-hazard data. Scope source scope. Vintage Not loaded.

What is intentionally not shown as local data

National material inflation is useful for admin pricing models, but it is not city-specific enough to present as a local-page signal. Broad city elevation and slope are also left out because grade can change dramatically across one parcel.

Use the estimator map for property-specific measurements, and use terrain or excavation tools inside the estimator where they apply.