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All functions

calculate_growth_scenarios()
Calculate Population Growth Scenarios
county_population_projection_plot()
Create County Population Projection Plot
format_pop_editions()
Example
plot_editions_simple()
Simple plot to compare the different editions.
pop19
Total population data from 2019 Edition (pop19) This dataset came from the SC Office of Revenue and Fiscal Affairs. Estimate and projection totals
pop19_gender
Population Data by Gender from 2019 Edition (pop19_gender) This dataset came from the SC Office of Revenue and Fiscal Affairs. It contains data for the Total, Male, and Female populations for each county. Population estimates from year 2000 to 2018 and population projections from 2019 to 2035 are included.
pop22
Population totals from the 2022 edition (pop22) This dataset came from the SC Office of Revenue and Fiscal Affairs. Estimate and projection totals
pop22_cohort
Population by cohort from the 2022 edition (pop22_cohort) This dataset came from the SC Office of Revenue and Fiscal Affairs. A transformed and summarized population data, distinguishing between Estimate and Projections, reformatted for clarity, and adding a state-wide summary.
pop22_gender
Population by gender from the 2022 edition (pop22_gender) This dataset came from the SC Office of Revenue and Fiscal Affairs. Tidy Format of (Nov 2022 Data)
pop_proj
pop_proj Results of extending the SC RFA projections This table includes detailed results of the methods used to extend the projections (for both editions of the SC RFA projections).
pop_proj_relative
pop_proj_relative: Relative Growth Projections for Different Counties This dataset is extended from the 2022 SC RFA data using the methods described in the documentation. This dataset provides relative growth projections for different counties under moderate and high growth scenarios. It includes calculations for growth rates and driver growth factors under each scenario.
pyramid_plot()
Create Population Pyramid Plot