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LTBB Master Land Use Plan - Little Traverse Bay Bands of Odawa ...

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<strong>LTBB</strong> RESERVATION AND<br />

COUNTY PROFILE<br />

THE <strong>LTBB</strong> MASTER LAND USE PLAN<br />

POPULATION AND ITS CHARACTERISTICS<br />

The human population <strong>of</strong> an area, its distribution and makeup, are a major factor in the land use<br />

decision-making. To study the population as it relates to the <strong>LTBB</strong> <strong>Master</strong> <strong>Land</strong> <strong>Use</strong> <strong>Plan</strong>, data for<br />

those Minor Civil Divisions (MCD) that make up the <strong>LTBB</strong> Reservation area were compiled and<br />

examined in various ways. This will give us a picture <strong>of</strong> the past, present, and future <strong>of</strong> the<br />

population, both tribal and otherwise.<br />

Evaluating the quality <strong>of</strong> life in a township or city is a vital and necessary responsibility <strong>of</strong> those<br />

governmental agencies involved with the delivery <strong>of</strong> human services. Knowing where the population<br />

is concentrated or perhaps more specifically, where the elderly population is concentrated helps<br />

<strong>of</strong>ficials and staff to better understand the demographic makeup <strong>of</strong> their jurisdiction. Knowing where<br />

and how many housing units are available or what the mean rent is for an area is also useful<br />

information.<br />

Age Distribution by MCD<br />

The Table “<strong>LTBB</strong> Reservation – Age Distribution by MCD” (Table One) shows us the actual<br />

number <strong>of</strong> persons in either 18 or 9 different age groups (called cohorts), for each Minor Civil<br />

Division in the <strong>LTBB</strong> Reservation. The table with the larger number <strong>of</strong> groups is presented for<br />

completeness; this analysis will focus on the summary table below it. An analysis <strong>of</strong> a community’s<br />

population breakdown by age cohort is important when trying to forecast the infrastructure, housing,<br />

and social services needs for the future.<br />

As can be seen in the table, the distribution <strong>of</strong> population in the various age groups is fairly<br />

constant over the entire area, with perhaps two exceptions. By a slight degree, the population is<br />

generally older in the more urbanized areas, particularly in the City <strong>of</strong> Petoskey. Conversely, the<br />

population is youngest in those areas that are growing the fastest, i.e. Bear Creek Township. Of<br />

particular interest is the relatively large concentration <strong>of</strong> population in the 55+ age groups. This can<br />

also be seen in Charlevoix County, particularly in the City <strong>of</strong> Charlevoix. With only 60% <strong>of</strong> the<br />

population <strong>of</strong> Bear Creek Township, they nonetheless have a nearly equivalent number <strong>of</strong> persons<br />

over the age <strong>of</strong> 75. The inverse <strong>of</strong> this can be seen in the faster growing areas by the larger<br />

percentage and number <strong>of</strong> persons in the age groups under 19 years old.<br />

The implications <strong>of</strong> these two patterns are primarily important in terms <strong>of</strong> the public<br />

infrastructure, i.e. schools, police, fire, and medical care facilities. In other words, a bulge in the<br />

population at younger ages will, over time, require greater expenditures in areas like schools and<br />

recreational facilities. Likewise, an aging population will need to be dealt with by use <strong>of</strong> public<br />

resources like police, fire, and ambulance services, and <strong>of</strong> course will put greater strains on availability<br />

<strong>of</strong> medical care.<br />

Of particular concern to any plan for the future is the age distribution <strong>of</strong> the population. Trends,<br />

or exceptions to trends in this area are <strong>of</strong> paramount concern for the region as a whole when trying<br />

to forecast the infrastructure, housing, and social services needs for the future. For our purposes, it<br />

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