This thesis uses input-output modeling to measure the economic impact of nonprofit sectors in four counties in Florida. The model is calibrated using data that describes the inter-industry relationships within each local economy, and then simulated using input-output analysis with social accounting matrix extensions. Output multipliers are generated for the Arts, Education, Environment, Health, Human Services, and Other nonprofit sectors using IMPLAN software, which calculates the ripple effects throughout each local economy. The 10-year annual growth rates from 1996 to 2006 for each nonprofit sector are used to create projections that describe what the non-profit landscape will look like in each county in year 2016. Comparisons are made between the current and future non-profit landscape, and some possible drivers of the variable growth rates are discussed. I find that there is a noticeable connection between the size of the local economy and the growth of non-profit sectors within them over time. I also find that the growth and success of the non-profit Health sector is an important indicator for the performance of the overall non-profit sector.

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