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Urban Research Associates / The impact of a housing allowance system in the city of Madison and Dane County, Wisconsin
(July, 1977)
III. City of Madison population data and trends, pp. 22-29
Page 22
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III. CITY OF MADISON POPULATION DATA AND TRENDS
Introduction
In this section we begin to narrow the focus of the study to the
special characteristics of the Madison housing market. Throughout the
analysis substantial use is made of 1970 and 1975 Bureau of the Census
reports for the City of Madison. Dane County tracts are utilized only to
the extent that they are adjacent to the city tracts. Consequently estimates
of housing allowance costs apply only to the Madison area. The census
tracts included in the analysis which follows are presented in Appendix
Table C-8b.
The 1970 Madison Population Base
Total population figures by tract for 1970 are presented in Appendix
Table C-I. For our purposes we are concerned with a specific subset of
the population, namely, households defined as husband-wife family, other
family, and those individuals over 65 years of age. Appendix Tables C-2
and C-3 display the 1970 population base in these categories by income
range. This base can be further refined by tenure classification and
income as displayed in Appendix Tables C-4 and C-5. Other tables of
interest display Gross Rent as a Percent of Income (c-6) and Household
Size and Income (C-7a and b). With this base we begin a description of
population trends and the determination of the specific groups to which
a demand allowance would be directed.
Madison Population Trends
It is generally well known that the City of Madison's population has
declined in the period 1970-75 after enjoying a decade or more of growth.
There is, however, substantial variation in this decline by tract, by age
group and by area within the city. Choosing only those tracts for which
data is available for most of the period 1960-1975 (see Appendix Table C-3),
it is possible to observe marked differences in patterns of change in this
period. Figure 3-1 displays trend variables in four categories:
1) Total population
2) Less than 18 years of age
3) 18-24 years of age
4) 65 years of age and over
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