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PL PACKET 07181995
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PL PACKET 07181995
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12/30/2015 5:30:05 PM
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12/30/2015 5:29:55 PM
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SP Box #
20
SP Folder Name
PL PACKETS 1995
SP Name
PL PACKET 07181995
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Twin Cities growth trends over the past several decades have remained vary stable in relative terms. Specifically, among the largest twenty-five <br /> metro areas the Twin Cities has been near the middle in terms of growth rate for the past 50 years. Since 1950, the Twin Cities has outgrown all <br /> of the dozen northern and eastern large metros, but has seldom grown faster than any of the dozen largest sunbelt or western metro areas. In the <br /> 1980s the Twin Cities growth rate was closer to the rates of several sun-belt/western metro areas'(Miami, Houston, San Francisco and Seattle). <br /> Such stable long-term relationships make a step-down approach especially appropriate. This relative trend stability is the major reason we have <br /> relied on a national step-down method in preparing overall population forecasts for the Twin Cities region. <br /> U. S. mid-range forecasts prepared by the U. S. Census Bureau were used as an overall control forecast. Trends of the Twin Cities share of <br /> growth for the U. S., all metros and 25 largest metros were projected using several different trend-based assumptions. The result chosen continued <br /> to show the Twin Cities increasing its share of U. S. growth, but at declining rate. We also looked at the high and low Census Bureau forecasts <br /> and related the Twin Cities growth to these forecasts. The result ranges from 2.3 million to 3.35 million for the year 2015--no change to an <br /> increase of over one million people in the next 25 years. This is a reasonable range of expectations based on the variation in trends occurring in <br /> the U. S. and Twin Cities over the past 40 years. <br /> In the future we will use models such as cohort-survival to improve our understanding of the more subtle growth factors and generate essential <br /> detailed data on age and race. But we will still rely on a general step-down approach to provide realistic"control" forecasts. <br /> SUBREGIONAL HOUSEHOLD (AND POPULATION) ALLOCATION <br /> Subregional forecasts were prepared as the next stage in the Council's step-down forecast method. There are two main reasons for using <br /> subregional forecasts (allocations of the regional control total) as an interim step in making city-level forecasts. One reason is that large subareas <br /> of the region have much more stable, and thus predictable, trends than individual municipalities. The second reason is that subareas can be related <br /> to regional policy. <br /> The Council's subregional allocation process uses households because they relate to land supply more closely than population. Once the <br /> households were allocated to subareas they were converted to population based on past trends, and.then reconciled to regional forecasts. <br /> One grouping of subregional areas used for this allocation is quadrants. These areas'break the region, excluding the central cities, into four areas: <br /> Northwest, Northeast, Southeast and Southwest. The north-south break is roughly Highway 12 and the east-west break is about at the <br /> Minneapolis-St. Paul boundary. This configuration was used because it best fits the geographic grid pattern of Twin.Cities Area cities and <br /> townships. <br /> • Quadrant trends for household growth have been extremely stable over the past three decades as a share of regional growth. Most of the <br /> "errors" of past Council forecasts are due to major changes in overall regional growth trends and local variation, not changes in the broad <br /> patterns of growth within the region. ` <br /> • Quadrant trends were expressed as shares of regional household growth and extrapolated(with shares converging slightly over the forecast <br /> period). Since these quadrants are of roughly uniform size (in terms of development capacity over the next forty or more years), it is <br /> unlikely that any one quadrant will capture a greatly increasing share of growth for an extended time period. Different assumptions <br /> regarding how these past trends should be projected were tested. This resulted in little variation in household forecasts. <br />
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