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Demographic Profile of Senior in Wayne County, Michigan

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elow that <strong>of</strong> 1-C at 11.3 percent, and well beh<strong>in</strong>d Region 1-B. In fact, Region 1-B<br />

accounted for more than 1 <strong>of</strong> every 4 State seniors who lived alone.<br />

Further Analyses <strong>of</strong> Region 1-A<br />

In order to better understand the changes that have occurred <strong>in</strong> Region 1-A, the analysis<br />

now addresses the region’s geographic components. Learn<strong>in</strong>g more about where the<br />

losses (and ga<strong>in</strong>s) have occurred, as well as the characteristics <strong>of</strong> the persons who reside<br />

<strong>in</strong> the region, will allow for a better understand<strong>in</strong>g <strong>of</strong> these trends and a more focused<br />

approach to service delivery.<br />

Our sub-regional analysis is be<strong>in</strong>g conducted on two levels.<br />

1. Community-level – An analysis <strong>of</strong> changes <strong>in</strong> the 60 and over population <strong>in</strong> each<br />

<strong>of</strong> the 9 communities <strong>in</strong> the region.<br />

2. Sector-level – An analysis is done by divid<strong>in</strong>g the City <strong>of</strong> Detroit <strong>in</strong>to the 10<br />

Plann<strong>in</strong>g Sectors that were developed by the City Plann<strong>in</strong>g Department <strong>in</strong> 1997,<br />

and have become the focus <strong>of</strong> all plann<strong>in</strong>g <strong>in</strong> the City. To extend the geography<br />

region-wide, two other sectors have been developed – one made up <strong>of</strong> Hamtramck<br />

and Highland Park; the other comprised <strong>of</strong> the five Grosse Po<strong>in</strong>tes and Harper<br />

Woods.<br />

Population Trends<br />

COMMUNITY ANALYSIS<br />

Region 1-A has experienced a steady decl<strong>in</strong>e <strong>in</strong> its elderly population s<strong>in</strong>ce 1970. The<br />

decade <strong>of</strong> the 1990s represented the largest loss percentage loss, and second largest<br />

numerical loss over this 30-year period. While the majority <strong>of</strong> the loss occurred <strong>in</strong><br />

Detroit, which accounts for 87 percent <strong>of</strong> the region’s population, all communities <strong>in</strong> the<br />

region, with the exception <strong>of</strong> the smallest community <strong>in</strong> the region, Grosse Po<strong>in</strong>te Shores<br />

village, experienced loss. As already documented <strong>in</strong> Table 3, the heaviest losses occurred<br />

<strong>in</strong> the cohorts between 60 and 74 years <strong>of</strong> age.<br />

While the analysis to this po<strong>in</strong>t has demonstrated a loss <strong>of</strong> the 60+ population <strong>in</strong> Region<br />

1-A, result<strong>in</strong>g <strong>in</strong> a loss <strong>of</strong> State share, as well as a loss <strong>in</strong> the number and State share <strong>of</strong><br />

M<strong>in</strong>orities 60+, we still need to better understand the demographic and socioeconomic<br />

characteristics <strong>of</strong> this population. In order to do that we turn to the 2000 Census and seek<br />

to m<strong>in</strong>e the applicable data. 5<br />

5 The age categories that will be used for this analysis are dependent upon the tabulations <strong>of</strong>fered by the<br />

Census Bureau. As is the case with poverty calculations, many <strong>of</strong> the tabulations do not allow for the<br />

complete universe <strong>of</strong> 60+ to be used. In most cases one is limited to universes <strong>of</strong> 65+ and 75+.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 12

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