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Using the "specify age distribution" user interface shown below, you can specify the ideal age distribution of the potential labor pool.
Below, you can specify educational attainment, gender, etc., and see the results in a thumbnail map.
You can rank and rate locations, and look at a variety of other metrics. You can look at an age ratio for any actual or projected year, projected growth of the population in a specified gender/age group, or look at the projected gender/age group-specific growth of population having a certain educational attainment level, etc. You could take a look at worker turnover as it relates to specific age groups in specific regions, and have the opportunity to think strategically about how to handle those changes. Below is an example of the user interface for looking at multiple locations.
The software also allows you to graphically compare specific areas as they compare to the country as a whole. Below, the graph shows North Carolina male employment by age.
Even more comprehensive is the distribution chart of the employable population of Orange, North Carolina, shown below.
Because the software is integrated with MapPoint, you can also map results, as shown below.
Summary With this focus on labor pool identification, GeoLabour has expanded the demographic analysis envelope. If we use Bill Gates' example of expanding the search for high tech workers, the need for this type of analysis could be mainstream very soon. In the field I come from - retail network development - there has always been the assumption that if you build a store, there will be someone available to work in it. But what if you built a store and then found you couldn't staff it? GeoLabour's solution helps you anticipate and deal with that kind of question. It could even help you tap in to sources of employees you never knew existed. A product demo version is available for download. More about this author... |
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Photos - LI 2008
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