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.RdFormat
A data frame with columns:
PeriodOriginal (from SC RFA) or Extended (from the methods used to extend the projections)
ScenarioEstimate, Moderate, or High
Edition2019 or 2022
CountyName of the county
YearYear of Projection (2000-2070)
TypeEstimate, SC RFA Projection, or Extrapolated Projection
PopulationPopulation number
T_0Initial year for this "scenario"
T_1Final year for this "scenario"
Pop_0Initial population for this "scenario"
Pop_1Final population for this "scenario"
Growth_linearPopulation growth for this "scenario," annual change in population
Growth_expExponential growth rate for this "scenario"
Growth_moderateAnnual change in population under the moderate growth scenario (linear growth with minimum set to zero)
Growth_exp_floorMinimum growth rate for the High scenario (the state-wide average*1.1)
Growth_hiExponential growth rate for this "scenario," floor set to at least the state average growth rate
Type2Relative 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