Forecasting enrollments for immigrant entry-port school districts.

This paper projects school enrollments in Santa Ana, California and evaluates the accuracy of the projections. It emphasizes the distinctive aspects of a local setting undergoing substantial immigrant influx and highlights the uncertainties that must be addressed. I adapt existing forecasting approaches to such local situations, match assumptions to future unknowns, and devise "early warning" thresholds keyed to timely decision making. This hybrid approach offers forecasters a useful point of departure in local settings dominated by wide margins of uncertainty and inherently risky assumptions.