Current CRD Projects

Counties at Risk


The Center for Regional Development (CRD) has developed a list of rankings to help counties determine the level of economic risk of their specific county in comparison to other counties in the State of Ohio. The indicators were chosen based off of statistical significance, and the correlation of the variables, availability of data and frequency of data updates. The data should be viewed as a general indicator for the counties economic risk, which are dependent on six factors: population change, average workforce change, percent with a four year degree or above, percent of population in poverty, median household income, and location quotient of manufacturing firms. Please note that the ranking system created by CRD begins at 88, which represents the county with the least risk, and continues until it reaches the county at the most risk, ranked 1. The following maps show the rankings for each of the six variables individually, as well as a combined overall risk compilation.

Counties at Risk - Overall Report

GIS Maps

  • Rank Maps
  • Education Rank

    Income Rank

    Location Rank

    Overall Rank

    Population Rank

    Poverty Rank

    WorkForce Rank

    100 Jobs

    CRD has produced a series of publications detailing what 100 jobs means to county economies. Each of the Center's 27 counties is analyzed in a separate monograph.

    Each document includes a statistical analysis of the county from the Bureau of Economic Analysis, a population pyramid showing the age distribution of each counties population compared to the state, a pie chart showing the current employment by sector and the summary table of the impact results. The summary table depicts how many additional jobs could be expected by the creation of 100 new jobs in each of the identified sectors. It shows the direct jobs, the 100 jobs being created, and then new jobs created as a result of business to business spending and those attributed to employee spending. The summary table forecasts potential economic activity in terms of dollars generated by supply chain expenditures as well as dollars expended by employee spending. The numbers can be adjusted based on the actual number of jobs created. For example, if a company creates 50 jobs, the numbers can be divided in half to show the relative impact on those 50 jobs for each county. Additionally, you are able to retrieve a more detailed analysis of which sectors will be most likely to gain employment from the creation of the hypothetical 100 jobs. These details are included in the document, but can be viewed from the CRD web site. The data also shows the additional dollars of economic activity generated by the creation of 100 jobs.


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    CRD 2013 Projects

    Economic Development Administration University Center

    The Economic Development Administration (EDA) recently awarded Bowling Green State University's (BGSU) Center for Regional Development (CRD) a five year funding commitment under the EDA University Center Program. The Rural Universities Consortium University Center, a partnership between Ohio University and BGSU, enhances economic development by making its resources available to the economic development community within its service area.

    • The transfer of university technical expertise and applied research primarily serving the needs of Ohio's small, rural, and non-metropolitan local governments
    • Provide support and technical assistance to the business community to facilitate the growth and retention of jobs
    • Improving knowledge of, access to, and capacity for the use of current technology to enhance local development planning and policy making efforts

    Ohio's Creative Economies

    This study estimates the economic contribution made by the creative industries in Ohio. It details the employment, output and tax impacts. It finds that the creative industries account for a significant portion of the growing economy and have distinct influence on firm attraction and retention efforts. This is a follow up study to CRD's 2009 Ohio's Arts: A Foundation of Innovation, Creativity, and Economic Strength. (This study will be released in the Spring of 2013)


    CRD Space - Time Analysis And GeoVisualization ToolBox

    Cluster-Based Economic Development (CBED), as an alternative economic development strategy, has become more commonplace in recent years (Carroll et al 2008). This idea has been promoted by the work of academics and has gained acceptance among practitioners. An assessment of industry location and density patterns becomes the first phase in the identification of potential cluster regions to be included in a cluster driven development policy. However, it is more interesting to policy makers regarding the stability of spatial industry clusters. This toolbox can be used to conduct exploratory space-time analysis of industry clusters in a comparative framework using both simulated (for policy scenario) data and real world NAICS (The North American Industry Classification System) data.


    The Spatial Implications of the Great Recession

    The purpose of this project is to examine the impact of the recession on unemployment rates in rural and urban areas respectively. More specifically, we want to ascertain whether rural counties fared better or worse than their urban counterparts. We are also interested in seeing if rural counties that were adjacent to metro areas were impacted differently than rural counties not adjacent to metro areas.


    Economic Impact of the Arts in Northwest Ohio

    The arts and creative industries are flourishing in NW Ohio. These industries have become a significant driver for economic growth and job creation. The study explores the economic impact of this sector and highlights the role the sector plays in the new economy. This is a follow up study to CRD's 2007 Arts and Regional Prosperity: Economic Impact of the Creative Industries in Northwest Ohio. (This study will be released in the Spring of 2013)