ZIP Code 16236 — undefined, PA Demographics & Data

ZIP code 16236 covers PA in Armstrong County with a population of about 215.

At a glance, the area shows median age of 53.5 versus a U.S. median of about 38.9.

It sits in telephone area codes 724, 878; U.S. House district PA-15; the PITTSBURGH media market.

On socioeconomic markers, US5 shows a poverty rate of 44.2%; unemployment rate near 0.0%; 7.7% of adults with a bachelor’s degree or higher (about 26.1 points below the national share (33.7%)).

Labor and commute patterns include leading industry context around Healthcare, Food services, and Manufacturing; a mean commute of about 58.0 minutes (U.S. average near 26.8).

Median home value is about $83,100 — about 76% below the U.S. median home value ($348,079).

Housing tenure and rents show owner-occupancy near 80.4% (about 15.0 points above the national owner-occupancy rate (65.4%)).

To comfortably buy a median-priced home in ZIP 16236 in PA, a household would need roughly $23,000 in annual income under a 20% down, 30-year loan at 6.8% (illustrative), keeping housing costs near 28% of income. Estimated monthly PITI is about $534. Rates, taxes, insurance, and HOA fees vary — treat this as a planning estimate, not a lender quote.

FEMA’s National Risk Index rates natural-hazard risk for PA as Relatively Low (composite score 69.3), which is near the middle of the national distribution. The strongest component scores on US5 are flood (85.1) and hurricane (52.2). These scores are county-linked NRI values published for planning context — all ZIP codes in the same county share the same composite score on US5. Useful when comparing insurance and disaster exposure across areas, not a substitute for a parcel-level flood or fire determination.

Climate normals for PA show little to no average snow and around 44.3 inches of annual precipitation.

IRS migration statistics show a net inflow of about 10 for ZIP 16236 (PA) on US5’s published series — a signal of people/tax filers moving in relative to those leaving. Inflows often track job growth, housing demand, or lifestyle migration; treat the figure as a directional indicator rather than a precise headcount.