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).
Source:R/data.R
pop_proj.Rd
Format
A data frame with columns:
Period
Original (from SC RFA) or Extended (from the methods used to extend the projections)
Scenario
Estimate, Moderate, or High
Edition
2019 or 2022
County
Name of the county
Year
Year of Projection (2000-2070)
Type
Estimate, SC RFA Projection, or Extrapolated Projection
Population
Population number
T_0
Initial year for this "scenario"
T_1
Final year for this "scenario"
Pop_0
Initial population for this "scenario"
Pop_1
Final population for this "scenario"
Growth_linear
Population growth for this "scenario," annual change in population
Growth_exp
Exponential growth rate for this "scenario"
Growth_moderate
Annual change in population under the moderate growth scenario (linear growth with minimum set to zero)
Growth_exp_floor
Minimum growth rate for the High scenario (the state-wide average*1.1)
Growth_hi
Exponential growth rate for this "scenario," floor set to at least the state average growth rate
Type2
Relative growth in population under the moderate growth scenario (2019 edition)
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). data(pop_proj) head(pop_proj) datasets