That averages out to 10 dollars per square foot. On a larger scale, a 15,000 sq ft fire damaged home in Culver City, California was demolished for a final cost of $75,000. This averages out to about 5 dollars per square foot.A few more examples are outlined below. 1  Dallas, TX-A 900 sq ft wood home was demolished for a final cost of $3,000, which is about $3.30 per square ft. 2  Bayview, SC-A 1-story, 1000 sq ft cottage with no foundation and vinyl siding was demolished for $6,500.his averages out to about 5 dollars per square foot. A few more examples are outlined below. 1  Dallas, TX-A 900 sq ft wood home was demolished for a final cost of $3,000, which is about $3.30 per square ft. 2  Bayview, SC-A 1-story, 1000 sq ft cottage with no foundation and vinyl siding was demolished for $6,500.
Price sensitivity of a product refers to the level of importance buyers place on price relative to other purchasing criteria. Customers looking for top quality or service, for instance, are usually less price sensitive than economical bargain hunters. The level of sensitivity for a given product is known in economics as elasticity of demand.
The standardized formula for measuring price sensitivity is: Price Sensitivity = (Change in Quantity Purchased / Change in Price)*%. Example: In order to observe the price sensitivity, let us consider that, when Nestle apple nectar prices increase by 60%, the juice purchases fall with the figure of 25%. Using the mentioned formula we can easily calculate the price sensitivity for nestle apple nectar: Price Sensitivity = -25% / 60% = -0.42. Therefore, we can conclude that for every of the percentage with which the Nestle apple nectar price increases; it affects the purchase by almost more than half percentage.