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Preparatory Investigation according to the Law to Promote Urban Development (Municipality Data)

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CESSDA2023-03-14 更新2024-08-03 收录
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https://datacatalogue.cessda.eu/detail?lang=en&q=3209def506de2ceb57e2223f386b576c84a952dc166bada1864faa2acf74fe55
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资源简介:
Economic, structural and socio-economic description of urban renovation areas in the Federal Republic in the form of aggregate data at the level of the individual renovation areas. Topics: location of renovation area in municipality; building density; size of renovation area; structure of companies and offices; proportion of trade, retail companies, service companies and agricultural companies; employees in the individual types of company; size, number and property conditions of the land in the renovation area; age of buildings; building condition and building use; proportion of residences without toilet and without bath; social structure of residential population; proportion of foreigners; proportion of young people and proportion of pensioners; total number of employed; proportion of workers and proportion of self-employed; number of one-person households and 5-person households; proportion of renter households. For all the above-mentioned topics information about quality and origin of the variables has additionally been encoded. Beyond this data information was recorded on whether further characteristics were surveyed in the initial investigation reports. The information in these variables is restricted to the dichotomy ´information in the source reports available´ or ´information in the source reports not available´. In this sense the following variables were collected: social interconnection; length of residence; income; amount of rent; trip to work; desire for replacement residence; size of residence; residential furnishing; quality of structure; interconnection of the region; possibilities and conducting planning; readiness of residents and owner to participate; characterization of traffic situation and city image; questions of protection of historical monuments.
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GESIS Data Archive for the Social Sciences
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