Annual Housing Survey: 1982. Housing Characteristics for Selected Metropolitan Areas: Cincinnati, Ohio-Kentucky-Indiana. Standard Metropolitan Statistical Area

摘要

This report presents statistics on housing and household characteristics from the 1982 Annual Housing Survey (AHS) conducted in the Cincinnati, Ohio-Kentucky-Indiana Standard Metropolitan Statistical Area (SMSA). Data are shown for central cities, areas outside central cities, and for the SMSA as a whole. Tables cover selected housing characteristics for 1982, 1978, 1975, and 1970; characteristics of new construction units; 1978 characteristics of housing units removed from the housing inventory; and characteristics of year - round vacant housing units. Another series of tables presents indicators of housing and neighborhood quality, with characteristics for owner - occupied and renter - occupied housing units. Tables also show financial characteristics of housing units by family or individual income, by value of property, and by gross rent. Other data tables cover characteristics of units occupied by recent movers, with information on the income of families and individuals by purchase price, source of downpayment, and mortgage amounts. The characteristics of the present unit for recent mover households cross - classified by characteristics of the previous unit are also presented. Tables show cross - tabulations of the indicators of housing and neighborhood quality by income, value, and gross rent. All tables present data for housing units occupied by a black and Spanish - origin householder. The 1982 AHS reveals a net increase of 23,500 housing units over the 1978 AHS estimate. About 5 percent of the total housing stock in the Cincinnati metropolitan area was built since the 1978 survey. Most new construction occurred in the suburbs. The report includes maps, table - finding guides, a list of AHS reports, a sample AHS questionnaire, area classifications, definitions and explanations of subject characteristics, and discussion of the source and reliability of the estimates.