Population and Household Projections

In July 2012, CDRPC completed revising its population and household projections for each of the Region’s municipalities in ten-year increments to the year 2050.

Complete Regional Projections

As the Economic Development District for the four-county Region, CDRPC requires population and household projections to fulfill its demographic and economic planning functions. Other public and private organizations may find the projections of value in planning for the diverse needs of the Region’s population in the new century. Practical uses might include developing economic strategies, designing service delivery programs, evaluating future housing needs, and preparing marketing and business plans.

Methodology

The Population Projection Model implemented involved two distinct stages: a quantitative first stage using a log-linear regression projection model on historic Census data, and a qualitative second stage using non-quantitative judgments of the likelihood and extent of future population change within particular jurisdictions.

Quantitative Stage

The Log-Linear model – so-called because of its straight-line form when plotted on graph paper which has a logarithmic scale for X-axis measurements – uses historic population to forecast or project future population based on a logarithmic curve, which is the best general model for natural populations.

Log-Linear models when used for forecasts will project the historic rate of change of the actual data into the future at a steadily declining rate (i.e., historic growth or decline will continue, but at a lesser rate). Log-linear models are an excellent basis for population forecasts because they project average historic rates of change into the future in a manner consistent with the average changes in natural populations. While short-term population data will often exhibit some variety of sawtooth pattern when charted, long-term population data usually follow a log-linear trend.

Historic data by minor civil division for the Region were fitted to individual log-linear models, and the results proportionally reduced or increased to force the sum of a county’s MCDs to equal the county total.

Qualitative Stage

The projections derived from the Log-Linear Model provided a basis from which to further analyze the forces which affect population change in each minor civil division. There are many historic trends other than simple population which may give an indication of the direction and extent of future population change, including, but not limited to, average persons per household, persons in group quarters, building permit issuance’s, new home and apartment unit construction, immigration and emigration patterns, journey-to-work data, and labor force data. In addition, there may be new development opportunities or constraints for particular jurisdictions embodied in Zoning and Sub-Division regulations, environmental regulations, economic development programs, and capital budgets for transportation facilities and water and sewer service extensions, to mention just a few of the possible sources. As much of this information as possible was considered in reviewing the projections which were derived from the Log-Linear Model for each jurisdiction, and changes made as appropriate.

The current set of projections also incorporate modifications to the original projections in light of subsequent analysis and projections of the age cohorts.

Tables

Maps