to project growth to the year 2000, certain trends are now evident that should be considered prior to a discussion of the variables mapped for exclusion purposes in this study. One of the best and most succint statements is found in the Council on Environmental Quality's seventh annual report. In this document, the Council states: "There are three important patterns of population distribution evident in the United States in the 1970's, each with its own implications for the future. The dominant pattern of population settlement continues to be the growth of major metropolitan areas, a trend that accelerated in the post World War II period, but which has now slowed appreciably. The second pattern is a considerable regional shift of population from the north central and northeastern sections of the country to the southern and western regions. The third pattern is a more recently observed phenomenom: the relatively rapid growth of population in non-metropolitan areas. We have chosen to highlight this pattern in the Annual Report because it is a growing trend that runs contrary to the basic pattern of growth throughout most of our history. For the first time, population in non-metropol itan areas is increasing faster than that in metropolitan areas." This non-metropolitan growth trend has many implications for rectenna siting. Unfortunately, it is difficult to speculate at this time about the spatial characteristics of this trend. In this study, the goal was to identify areas where rectennas could not be located. Therefore, the variables mapped and described below should be considered as a conservative indication of populated areas. Those areas that are not mapped should not be considered as automatically being without population. Instead, these areas did not have a sufficient density to indicate that rectennas could not be located there. In other words, the "white" areas do not indicate a locational carte blanche, and these areas should be studied in greater detail to determine the actual distribution of people within these areas. 1. Standard Metropolitan Statistical Areas (SMSA's). Rationale: A substantial portion of the United States has been
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