InsulationPayback

Pratt County, KS Insulation Payback

Pratt County, KS: what topping up your attic actually costs

Pratt County sits in IECC climate zone 4 (Mixed-Humid) — heating load in winter and cooling load in summer, both worth taking seriously here. For a currently uninsulated attic, DOE and ENERGY STAR recommend building up to R-60. Topping up a typical 1,000-square-foot attic from bare joists (R-2) to R-60 runs an estimated $3,480, and saves about $1,566 a year in heating and cooling — a payback around 2.2 years. That's about as fast as attic paybacks get.

The breakdown behind the number

The estimated savings split roughly $1,334/year heating, $232/year cooling. Out of every 100 US counties tracked here, Pratt County's savings potential beats roughly 57 of them. Within zone 4 specifically, it ranks 81st of 825 counties by estimated savings. Kansas averages $1,594/year across the counties tracked here; Pratt County comes in 2% lower.

The climate data behind this

The heating and cooling degree days behind this estimate — 4,989 HDD and 1,442 CDD (base 65°F, 1991-2020 normals) — come from PRATT 3NW, KS US, the nearest NOAA station with published normals, 2.6 miles from Pratt County's center. By total degree days, Pratt County sits at the 60th percentile nationally. Pratt County falls in DOE's moisture regime A (humid), a detail that affects vapor-barrier recommendations more than the R-value target itself.

Already have some insulation?

Already have a few inches up there? Topping R-11 up to R-49 runs about $2,280 for about $228/year saved — roughly 10 years to break even. This one is a genuine toss-up, not a clear yes.

Quotes and materials for this job

Actual quotes will vary by attic access, existing debris, and whether the job needs air sealing first. Treat the $3,480 figure above as a planning number for Pratt County, not a bid - contractors typically charge a $600 minimum regardless of job size.

Nothing here is a guess

Every figure on this page traces to DOE/IECC climate zones and NOAA degree-day normals, documented in the methodology guide. The guide to what R-value actually means explains why R-60 is the target here specifically.