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The other major subregional forecast areas that were used were the Metro Council policy areas: fully developed area, developing area, <br /> freestanding growth centers and rural service area. These areas were used for two reasons. One was to reflect Metro Council policies and the <br /> other was to be able to relate growth forecasts to the movement of urbanization outward from the core of the region.- <br /> • Policy area household control forecasts were determined using a similar extrapolation methodology as was used for quadrants. Policy area <br /> trends are not as stable as.quadrant trends and are not used rigidly as controls. The reason for this is that as cities in the inner policy area <br /> rill up growth moves further out--into the next policy area. <br /> • Land use data at the city-level was used to modify the city-level household. forecasts. This resulted in new policy area totals. <br /> • The household control forecasts for policy areas (as revised) were converted to population. <br /> MUNICIPAL LEVEL HOUSEHOLD (AND POPULATION) ALLOCATION <br /> Because of the great, and largely unpredictable variation that occurs annually in residential growth at the municipal level, the municipal allocation <br /> of households was done in a very methodical way. This is more equitable than having the Council attempt to guess which cities will significantly <br /> exceed their past trends and which ones will fall behind. <br /> • The formula for allocating household forecasts extrapolated a city or township's past share of its policy area/quadrant segment. This <br /> projection used different groupings of years, weighting recent trends more heavily. Several different groupings of years were tested. One- <br /> grouped years according to housing cycles (boom or bust). Another looked at residential growth trends by decade. <br /> • This formula-based process was modified to account for land supply and density trends of communities where land supply is, or will become <br /> a growth constraint. This process could not be specified using standardized equations and required some judgement. Adjustments were <br /> based on growth trends, land use data and local plan information. The final results were reconciled to quadrant household control <br /> forecasts. <br /> • As land supply shrinks in developing cities, growth slows, but picks up in adjacent, less developed cities. For most developing communities <br /> it was assumed that during the forecast period 70 percent of vacant land, if developed, would be residential (including streets and alleys). <br /> This is consistent with trends over the past decade. Also, the mix of single-family and multifamily was generally held at the current mix. <br /> Finally, densities were kept close to those that prevailed during the 19841990 period. <br /> • The household forecasts were converted to population at the city level, using projections of local population per household trends. <br /> The primary goal of the municipal allocation process is to establish a technically objective method that we believe produces reasonable results. <br /> The goal is to provide a reasonable number that is objectively and equitably determined, which can then be closely monitored. Growth trends that <br /> deviate from the forecasts over time (when it becomes clear that the changes are not simply cyclical variations, but a major trend shift), can be <br /> dealt with through the Council's interim forecast process. Forecast revisions will also be made for the region and all of its minor civil divisions <br /> approximately every five years. <br />