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首页> 美国政府科技报告 >Urban Data for Comparative Analyses of Cities
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Urban Data for Comparative Analyses of Cities

机译：城市比较分析的城市数据

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This report, designed to provide a blueprint for the establishment of a national urban data information system, presents findings from a survey conducted in 20 cities on information needed to design a statistically valid approach to obtaining comparative data on cities. These data would help in the urban policy decisionmaking process. Such comparisons also may be used to analyze the 'quality of life' in the urban environment, to describe urban conditions, and to analyze casual connections among various factors. The survey had four purposes: to determine the extent to which localities generate their own data on items used to determine eligibility and allocations of Federal funds, to contrast local data with the most recent Federal statistics, to determine whether Federal programs use different statistics for the same data items, and to obtain suggestions for improving the system by which local and Federal data are used for policymaking decisions regarding the allocation of Federal funds. The following indicators were used as key data elements in the survey: total city population, per capita income, median family income, unemployment rate, and percent of population below poverty. In each case, cities were asked to provide the most current figure for each of these items and its source. They were then asked to provide the most commonly used Federal figure for the same item and give its source. The 20 cities completing the survey represented a diverse cross section in terms of geographic area and population size. The survey identified a variety of public and private organizations as sources of different kinds of data being used for different purposes in the 20 cities. City planners did not appear to be the source of data used for numerous Federal grant - in - aid programs. Usually, the city planning staff had to obtain information from various departments. Another finding was that the city statistics were often different from those used by the Federal Government. Moreover, Federal programs often used, accepted, or required widely varied statistics for the same data elements. Finally, only a few cities generated their own data for the data elements used in the survey. Suggestions for improvement include more local government input in the Federal data collection process and more options for use of local data for eligibility, allocation of funds, performance evaluation, and other reporting requirements. Tables and 12 notes are supplied.

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