Viewing Cities in Context of Economic Prosperity by County What about a city of interest that does not appear in these views? It is because that city does not meet at least one criteria. In the following views, metros (MSAs) are shown with an orange/salmon color fill pattern. Labels may be used, differ markers can be viewed, other subject matter and geography can be shown contextually. Using the GIS tools, the query may be easily changed to examine alternative weights and factors, Each layer has a different query applied. The same shapefile is used with each layer. See these layers in the legend at left of the map window in the graphics shown below. Our GIS project design is to create three layers, so that they can be easily viewed separately or in combination. Many physical access attributes (major airports, interstate, recreation, shopping, etc.) are identified Housing age, housing value, housing rent, cost of living among others. These include employment/unemployment, educational attainment, Many other items are in the city/places layer that can be used. The constant value 0.5 is a weight, in this case equal, that someone might assign differently. ad5_w5 = 0.5* percent population ages 24-35 + 0.5* percent population change 2010-15 In this query, equal weights are applied to these two items (0.5): percent population change 2010-15 - we want places that are growing rapidly. percent population ages 24-35 - we want places having higher proportions of this age group. In this application the factor uses two data items: The item ad5_w5 could be defined in many ways. have item ad5_w5 value of 30 or more (a "most preferred" factor) have a population percent growth 2010-15 must be 8% or more must be in an MSA (metropolitan statistical area) must be a place with 2015 population of 20,000 or more We use a variation on this query to select three groups of "Millennial Best Cities to Live & Work": That shapefile has been populated with selected city/place data further described below. This point shapefile has been developed by ProximityOne by augmenting the These cities are represented in the CVGIS millennials1.gis project by the shapefile places2015pts.shp. We start with "places to live and work" as the set of U.S. On your computer to proceed through steps described in this section.Ī simple methodology is used that can be expanded as desired. The CVGIS installer makes this GIS project and data available Our starting place is using the CVGIS millennials1.gis project. It is a process of examining between alternative data and methodologies. While use of quantitative data is essential in this process, there are also many subjective factors to consider.Īs individual preferences and constraints are factored in, it is apparent that there is not one list of "best cities." More detailed views are shown below in this section. Markers show best cities for Millennials. Metros (MSAs) are shown with orange/salmon fill patterns. The following graphic shows the start-up view of the This section provides a tutorial on how you can use data analytics to expand on the initial project, data and methodology provided.īest Cities for Millennials to Live & Work - using one method We review use of demographic, economic and related data and data analytics methods to identify and and rank "best cities." Issues, the focus of this section is on places/cities that might be best for millennials to live and work. While much attention is given to the millennial population as a market segment, voting group and distribution/impact on various economic/societal The "young adult millennial population" is now in the approximate age group of 19 to 35 years. the millennial population refers to the population born after 1980 and the first generation to come of age in the new millennium.
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